Single-cell dissection of a rare human prostate …specimens collected, after dissociation of the...
Transcript of Single-cell dissection of a rare human prostate …specimens collected, after dissociation of the...
1
Single-cell dissection of a rare human prostate basal cell carcinoma
Summary heading:Single-cell analysis of prostate basal cell carcinoma
Abstract
As a rare subtype of prostate carcinoma, basal cell carcinoma (BCC) has not been
studied extensively and thus lacks systematic molecular characterization. Here we
applied single-cell genomic amplification and RNA-Seq to a specimen of human
prostate BCC (CK34βE12+/P63+/PAP-/PSA-). The mutational landscape was obtained
via whole exome sequencing of the amplification mixture of 49 single cells, and the 5
putative driver genes mutated are CASC5, NUTM1, PTPRC, KMT2C and TBX3. The
top 3 nucleotide substitutions are C>T, T>C and C>A, similar to common prostate
cancer. The distribution of the variant allele frequency values indicated these single
cells are from the same tumor clone. The transcriptomes of 69 single cells were
obtained, and they were clustered into tumor, stromal and immune cells based on their
global transcriptomic profiles. The tumor cells specifically express basal cell markers
like KRT5, KRT14 and KRT23, and epithelial markers EPCAM, CDH1 and CD24.
The transcription factor (TF) co-variance network analysis showed that the BCC
tumor cells have distinct regulatory networks. By comparison with current prostate
cancer datasets, we found that some of the bulk samples exhibit basal-cell signatures.
Interestingly, at single-cell resolution the gene expression patterns of prostate BCC
tumor cells show uniqueness compared with that of common prostate cancer-derived
circulating tumor cells. This study, for the first time, discloses the comprehensive
mutational and transcriptomic landscapes of prostate BCC, which lays a foundation
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
2
for the understanding of its tumorigenesis mechanism and provides new insights into
prostate cancers in general.
Xianbin Su1,2, #, Qi Long3, #, Juanjie Bo1, #, Yi Shi2, #, Li-Nan Zhao2, Yingxin Lin4,
Qing Luo2, Shila Ghazanfar4,5, Chao Zhang6, Qiang Liu7, Lan Wang2, Kun-Yan He2,
Jian He2, Xiao-Fang Cui2, Jean Y. H. Yang4, Ze-Guang Han2,*, Jian-Jun Sha1,*,
Guoliang Yang1, *
1Department of Urology and Key Laboratory of Systems Biomedicine (Ministry of
Education), Renji Hospital, School of Medicine, Shanghai Jiao Tong University,
Shanghai, China
2Key Laboratory of Systems Biomedicine (Ministry of Education) and Collaborative
Innovation Center of Systems Biomedicine, Shanghai Center for Systems
Biomedicine, Shanghai Jiao Tong University, Shanghai, China
3Key Laboratory for Regenerative Medicine (Ministry of Education), School of
Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong,
Hong Kong SAR, China
4Charles Perkins Center and School of Mathematics and Statistics, The University of
Sydney, Sydney, Australia
5Cancer Research UK Cambridge Institute, University of Cambridge, Li Ka Shing
Centre, Robinson Way, Cambridge CB2 0RE, United Kingdom
6Department of Urology, Shanghai Changhai Hospital, Second Military Medical
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
3
University, Shanghai, China
7Department of Pathology, Renji Hospital, School of Medicine, Shanghai Jiao Tong
University, Shanghai, China
#These authors contributed equally.
*To whom correspondence should be addressed:
Guoliang Yang, Department of Urology, Renji Hospital, School of Medicine,
Shanghai Jiao Tong University, Shanghai 200127, China. Tel: +86-21-6373 0455; Fax:
+86-21-6373 0455; Email: [email protected]
Jian-Jun Sha, Department of Urology, Renji Hospital, School of Medicine, Shanghai
Jiao Tong University, Shanghai 200127, China. Tel: +86-21-6373 0455; Fax:
+86-21-6373 0455; Email: [email protected]
Ze-Guang Han, Key Laboratory of Systems Biomedicine (Ministry of Education),
Shanghai Center of Systems Biomedicine, Shanghai Jiao Tong University, Shanghai
200240, China. Tel: +86-21-3420 7304; Fax: +86-21-3420 6059; Email:
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
4
Running title
Single-cell analysis of prostate basal cell carcinoma
Abbreviations
BCC, basal cell carcinoma; CTCs, circulating tumor cells; MDA, multiple
displacement amplification; PAP, prostatic acid phosphatase; PSA, prostate-specific
antigen; TF, transcription factor; VAF, variant allele frequency.
Keywords
prostate, basal cell carcinoma, single-cell sequencing, gene expression, transcription
factor, mutation
Conflict of Interest
The authors declare that they have no conflicts of interest with the contents of this
article.
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
5
Introduction
Prostate cancer is a heterogeneous disease with complex subtypes and different cell
origins [1-3], and basal cell carcinoma (BCC) is an extremely rare histological
subtype comprising < 0.01% of prostate cancer [4]. Despite being largely regarded as
pursuing an indolent clinical course, aggressive behaviors like recurrence or
metastasis have been observed and deaths also reported, highlighting the complex and
yet poorly understood mechanism [5-9]. There have been extensive reports on the
genomic features of common prostate cancer [10-17], and the molecular features of
normal human prostate basal cells, prostate basal cell hyperplasia, and basal
populations from human prostate cancer have also been reported [18-20], but the
molecular profile of prostate BCC is still lacking. The mutational and transcriptomic
features of this tumor sub-type will thus be valuable for understanding of its
tumorigenesis mechanism and development of future clinical treatments.
Single-cell sequencing has evolved to be a powerful tool that provides
unprecedented resolution of clinical specimens especially with limited amounts, and
marker-free decomposition of the constituent cell types based on single-cell
transcriptional profiles allows precise dissection of complex systems such as various
tissues or tumors [21-23]. Here we applied single-cell genomic amplification to a
human specimen of prostate BCC and used the mixture of 49 single cells to provide
mutational landscape of prostate BCC via whole exome sequencing. We then used
single-cell RNA-Seq to obtain the transcriptomes of 69 cells from the same specimen.
Three types of cells, namely tumor, stromal and immune cells, were identified with
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
6
their molecular features revealed at single-cell resolution, providing a useful resource
for not only this prostate cancer subtype but prostate cancer in general.
Results
Histological and immunohistochemical features of human prostate BCC
The tumor exhibited a widespread infiltrative growth pattern under microscopic
examination, and individual cells had large pleomorphic nuclei and scant cytoplasm
(Fig. 1). The tumor was negative for two known prostatic markers, prostatic acid
phosphatase (PAP) and prostate-specific antigen (PSA), but strongly expressed
CK34βE12 and P63, suggestive of basal cell origin (Fig. 1). Based on the cellular
morphology and immunohistochemical staining, we diagnosed it as prostate BCC.
The patient with BCC was resistant to chemotherapy but sensitive to radiotherapy,
and followed-up for 32 months without recurrence or metastasis (Supporting
Information, Fig. S1).
Whole exome sequencing reveals the mutational landscape of prostate BCC
As genetic variations are generally believed to be the causes of tumors, here we tried
to reveal the mutational features of prostate BCC. Due to the limited amount of tumor
specimens collected, after dissociation of the specimens into single-cell suspension,
we first conducted single-cell whole genome multiple displacement amplification
(MDA) on a microfluidic-chip. We then used the mixture of amplified products from
49 single cells for whole exome sequencing (Fig. 2A). A total of 91 functional exonic
mutations were obtained, and 5 of the mutated genes, CASC5, NUTM1, PTPRC,
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
7
KMT2C and TBX3 are putative driver genes catalogued in the COSMIC Cancer Gene
Census (Supporting Information, Fig. S2) [24]. Mutations in DNA repair genes are
related to poor outcomes of prostate cancers [12, 25], but few are mutated in this
prostate BCC sample such as BRCA2, consistent with good survival of this patient.
The top 3 nucleotide substitutions are C>T, T>C and C>A, which are exactly the
same top 3 substitutions in recently reported localized, non-indolent prostate tumors
(Fig. 2B) [13]. This suggests the etiology of prostate BCC is likely the same as
common prostate tumors. The major composite COSMIC signatures are Signature 4,
5, 6 and 12 (Fig. 2C). While the etiologies of Signature 5 and 12 are still unknown,
Signature 4 and 6 are associated with smoking and defective DNA mismatch repair,
respectively [26].
By checking the distribution of the variant allele frequency (VAF) of the exonic
mutations of prostate BCC, it is clear that most of the variations have VAF values of
around 0.5, thus supporting that most of the single cells share a similar mutational
background (Fig. 2D). The VAF values of the 5 driver mutations are also
approximately 0.5 (Fig. 2E), indicating these single cells are probably originated from
the same ancestor and form the major tumor clone. However, there are still some
variations with lower VAF values which suggest sub-clonal mutations may have
existed in some cells that are acquired during later diversified evolution of the tumor.
To understand whether the prostate BCC is showing similarities to other reported
prostate cancer cases, we checked the mutational frequency of the prostate BCC
mutated genes in prostate cancer samples collected in cBioPortal [27]. For the 88
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
8
genes enquired, only 10 genes are not mutated, and 27 genes are mutated in more than
0.5% of the ~4400 prostate cancer samples (Fig. 2F). Interestingly, 3 of the driver
genes from this study, KMT2C, PTPRC, and TBX3 are also among the top mutated
genes, especially KMT2C with mutation rate of ~6%. GSEA/MSigDB enrichment
analysis [28] of the mutated genes shows that the top enriched terms are related to cell
cycle, cytoskeleton and others (Fig. 2G), consistent with its basal cell origin.
Single-cell RNA-Seq reveals the transcriptomic features of prostate BCC
To understand the transcriptional profiles of prostate BCC, we then randomly selected
69 single cells for single-cell RNA-Seq (Fig. 3A). With a median unique mapping rate
of 58.4% and 1.08 million mapped reads, we obtained a median of ~2800 genes per
cell (Supporting Information, Fig. S3A). We used ERCC spike-ins as positive controls,
and the high correlation efficiency between single-cells based on the 92 spike-ins
confirmed the high quality of the data (Supporting Information, Fig. S3B-D). After
filtering 5 outliers, the remaining 64 cells were classified into three clusters based on
their global transcriptomic profiles (Fig. 3B-C). GSEA/MSigDB enrichment analysis
identified them as tumor cells (51 cells), stromal cells (7 cells) and immune cells (6
cells) (Fig. 3D).
The three clusters of cells can also be clearly separated in tSNE plot based on the
top genes expressed in each cluster (Fig. 4A). The tumor cells specifically expressed
genes encoding cytokeratins including KRT5, KRT14 and KRT23, which are reliable
basal cell markers (Fig. 4B). Interestingly, epithelial markers EPCAM, CDH1 and
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
9
CD24 are also highly expressed in tumor cells. Stromal cells specifically express
COL1A2, THY1 and BGN, and immune cells specifically express monocytic marker
CD14, CXCL8 and myeloid cell nuclear differentiation antigen MNDA (Fig. 4B),
suggestive of possible innate immune cell infiltration. Immunohistochemical staining
confirmed the expression of CK14 (KRT14) at protein level, further proving the
reliability of the sequencing data (Fig. 4C).
Transcription factors (TFs) covariance network analysis showed that the three
clusters demonstrate different transcriptional regulatory status (Fig. 4D). Significantly,
MYC, ARID1A, TBX3 and SOX11 are highly expressed in tumor cells, where, besides
the well-known MYC that is recently reported to be over-expressed in human prostatic
basal cells [19], the oncogenic role of ARID1A, a key component of chromatin
remodeling complex SWI/SNF, has been recently demonstrated in liver cancer [29],
the development-related gene SOX11 was reported to be elevated in basal-like breast
cancer [30], and TBX3 plays important roles in development, differentiation and
tumorigenesis [31]. The TFs co-variance network provides clues to future dissection
of the regulatory mechanism of BCC.
Single-cell analysis of prostate BCC provides new insights to prostate cancer
We then checked the expression of prostate BCC tumor cell specific genes in
previously reported luminal and basal cells sorted from normal and cancerous
prostates by flow cytometry [18]. The prostate basal cells exhibit higher expression
levels of KRT5, KRT14 and KRT23 compared with luminal cells, similarly as our
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
10
prostate BCC tumor cells, further confirming their basal cell origin (Fig. 5A).
Interestingly, the genes highly expressed in prostate BCC tumor cells fall into two
groups based on their expression correlation patterns, with one group including KRT5,
KRT14, KRT23, DSC3, FGFR2, etc., while the other group including EPCAM, CDH1,
CD24, etc. (Fig. 5A). It seems the former group includes the basal cell markers while
the latter group includes genes expressed in common prostate epithelial cells.
We further checked the expression patterns of BCC tumor cell specific genes in
other bulk samples of human prostate cancers [10, 11, 32]. It is interesting to identify
a small group of samples exhibiting basal cell gene expression features in two
separate prostate cancer datasets (shaded branches in the dendrograms of Fig. 5B and
Supporting Information, Fig. S4A). Likely explanations are that these tumor samples
were derived from BCC patients or the samples contained basal cells. For TCGA
PRAD dataset, the expressions of basal markers are detected in most samples,
possibility due to the high number of genes detected by deep sequencing (Supporting
Information, Fig. S4B). The split of the genes highly expressed in BCC tumor cells
into 2 groups is further confirmed by these three datasets, with KRT5, KRT14, KRT23
clustering together with DSC3, FGFR2 and also possibly ACTG2. Our single-cell
analysis of prostate BCC reveals the existence of basal cell features in current bulk
samples of prostate cancer.
We then compared our results with one single-cell resolution dataset of prostate
cancer [33]. Compared with circulating tumor cells (CTCs) from prostate cancer
patients, the prostate BCC tumor cells exhibit distinct gene expression features with
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
11
high levels of IGF2, KRT5, KRT14, KRT23, AQP1, MIA, FGFR2 and ACTG2,
although they all expressed EPCAM, CDH1 and CD24 (Fig. 5C). The results
demonstrated the unique gene expression patterns of the prostate BCC tumor cells,
which exhibit the molecular features of basal cells with activated genes like IGF2 and
FGFR2, consistent with report on the regulation of pluripotency by IGF and FGF
pathways [34]. Another interesting finding is that the BCC immune cells clustered
together with some single cells annotated as CTC-candidate, which were likely to be
contaminating leukocytes to the CTCs (Fig. 5C). The single-cell level data also
support the above mentioned split of the genes highly expressed in prostate BCC
tumor cells, with one group representing genuine BCC markers while the other genes
commonly expressed in prostate cancer.
Detection of exonic mutations in single-cell RNA-Seq reads
As our mutational data and single-cell RNA-Seq data were generated from the same
prostate BCC specimen, we checked whether the exonic mutations could be detected
in RNA-Seq reads. Interestingly, we indeed found mutations in RNA-Seq reads from
some single cells for GABPB2, ASTE1, COPS3 and BEX2 (Supporting Information,
Fig. S5). The variations are only detected in some of the single cells, which are likely
because the mutated sites are not always covered by the relatively shallow single-cell
RNA-Seq. Another phenomenon is that single cells in RNA-Seq analysis only
contained either reference or altered variant, which is probably caused by allelic
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
12
specific expression or allele dropout in RNA-Seq. The consistency of scRNA-Seq
data and exome-seq data further suggested the reliability of our prostate BCC data.
Discussion
As a rare malignancy, there has been little research into the molecular characteristics
of prostate BCC and no consensus on its treatment. Mostly, such data exist as
sporadic reports on immunohistochemical expression in a small number of cases [8,
35-37]. This study represents the first genomic and transcriptomic profiling of this
prostate cancer subtype, and the single-cell resolution transcriptomic data is especially
valuable for understanding of not only this subtype but prostate cancer in general.
The molecular features of normal human prostate basal cells [19], prostate basal
cell hyperplasia [20], and human prostate cancer derived basal populations [18] have
been reported recently, and the single-cell transcriptomic profiles of prostate BCC is a
good complement to these data for comparison studies and better understanding of
prostate cancer cell origin. Most of the current genomics data for prostate cancer are
generated using bulk samples [10, 11, 13], and the single-cell transcriptional profiles
of prostate BCC provide an opportunity for deeper utilization of these data. For
example, analysis using genes highly expressed in prostate BCC reveals the existence
of basal cell features in some bulk samples of prostate cancer, which is consistent
with recent classification of prostate cancer samples into basal-like and luminal-like
subtypes using the PAM50 classifier [1, 38]. The single-cell resolution profiles of
constitutional cell types from prostate BCC provide further advantage for future
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
13
de-convolution of bulk samples [39], which will maximize the values of current
genomic data of prostate cancer.
The prostate BCC patient is still surviving now, indicating this case is an indolent
malignancy. Our genomics and transcriptomic analysis of this chemotherapy-resistant
but radiotherapy-sensitive prostate BCC provides a useful resource for future
dissection of the molecular mechanisms related to the radiotherapy responsiveness
and treatment guidance. Mutations that disrupt the function of DNA damage repair
genes have been shown to be associated with the aggressive clinical behavior of
localized prostate cancer and with cancer-specific mortality [12, 40-42], and it has
also been reported that men with metastatic prostate cancer and DNA-repair gene
mutations have sustained responses to poly-ADP ribose polymerase (PARP)
inhibitors and platinum-based chemotherapy [43, 44]. This study showed that the
prostate BCC patient with few DNA-repair gene mutations was resistant to
chemotherapy, suggesting that we may directly adopt radiotherapy rather than
chemotherapy for such conditions. The results indicated that precision treatment of
BCC could be more than just a histopathological triviality but be based on association
of tumor phenotypes with molecular features.
In summary, single-cell analysis revealed the genomic and transcriptomic
landscapes of the rare prostate BCC for the first time. This provides clues for
elucidation of the tumorigenesis mechanism, further discovery of biomarkers and
therapeutic targets, and better understanding of not only prostate BCC but prostate
cancer in general.
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
14
Methods
Clinical specimens
This study was approved by the Ethnical Review Board of Renji Hospital, School of
Medicine, Shanghai Jiao Tong University. Specimens were obtained by prostatic
needle biopsy from a 55-year-old man with pelvic pain and irritative urinary
symptoms. The specimens underwent pathological evaluation. After diagnosis as
prostate BCC, the patient was treated with chemotherapy and radiotherapy and then
followed-up for 32 months without evidence of local recurrence or distant metastases
(Supporting Information, Fig. S1). The specimens were mechanically dissociated and
digested with collagenase IV and DNase I, and the single-cell suspensions were used
for both single-cell genome amplification and single-cell RNA-Seq.
Immunohistochemical staining
Immunohistochemical staining was done as previously described [45], and we used
the following primary antibodies: P63 (abcam, ab124762), CK34βE12 (Dako,
M0630), CK14 (abcam, ab7800), PAP (Dako, M0792), PSA (Dako, A056201). We
used biotinylated universal link antibody as the secondary antibody.
Single-cell genome amplification and whole exome sequencing
Single-cell capture, lysis, reverse-transcription, and whole genome MDA were done
in a microfluidic-based C1 DNA-Seq IFC (10~17 μm, Fluidigm) according to its
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
15
protocol using illustra GenomiPhi V2 DNA Amplification Kit (GE Healthcare,
25660031). The amplified products from 49 single cells were mixed for exonic region
capture and library preparation using Agilent SureSelect Human All Exon v7 Kit
(Agilent, 5191-4005). The library was sequenced using illumina HiSeq platform with
2 × 150 bp sequencing mode. We used GATK [46] for variant calling and ANNOVAR
[47] for functional annotation of the mutations. As there is no para-tumor tissue for
this patient, we filtered SNPs using dbSNP141 [48] and 1,000 Genomes Project (v3)
database [49]. We used MutationalPatterns [50] to decipher the mutational signature
composition. For genes mutated in this prostate BCC sample, we checked their
mutational frequencies in prostate cancer samples collected in cBioPortal [27].
GSEA/MSigDB enrichment analysis was also conducted for the genes mutated in this
prostate BCC.
Single-cell RNA-Seq and data analysis
Single-cell RNA-Seq experiment and analysis were conducted as previously
described [45]. Single-cell capture, lysis, reverse-transcription, and cDNA
amplification were done in a microfluidic-based C1 RNA-Seq IFC (10~17 μm,
Fluidigm). After library preparation with Nextera XT Kit and Index Kit (illumina), the
single-cell libraries were pooled and sequenced using NextSeq 500 (illumina) with 2
× 76 bp sequencing mode. After generation of FPKM data, SC3 [51] was used for
identification of cell outliers and single-cell clustering. The genes differently
expressed between clusters were then identified via ANOVA analysis (p < 0.05) using
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
16
SINGuLAR™ (Fluidigm). GSEA/MSigDB enrichment analysis was conducted for
the genes specifically expressed in each cluster to facilitate cell type identification.
Transcription factors (TFs) covariance network analysis was conducted to reveal the
relationship of the TFs specifically expressed in each cell cluster as previously
described [45, 52]. Gene expression files were retrieved from five other prostate
cancer studies [10, 11, 18, 32, 33] for comparison studies.
Acknowledgement
This work is supported in part by the National Natural Science Foundation of China
(81802806, 81472621, 81402329 and 81902561), National Program on Key
Research Project of China (2016YFC0902701, Precision Medicine), Shanghai Health
Bureau (20164Y0124), Medical and Engineering Crossover Fund of SJTU
(YG2016QN71, YG2017MS67), University of Sydney – Shanghai Jiao Tong
University Joint Research Alliance (USYD-SJTU JRA) grant, funding from Key
Laboratory of Systems Biomedicine (Ministry of Education) (KLSB2017QN-03), and
Incubating Program for Clinical Research and Innovation of Renji Hospital SJTU
School of Medicine (PYII-17-010).
Authors' contributions
XS and GY designed the study. XS, JB, LZ, CZ, QL3, LW, KH, JH, XC, WX and GY
carried out experiments. XS, QL1, YS, YL, QL2, SG and JY analyzed data. XS, GY
and ZH drafted the manuscript. GY, JS and ZH supervised the study. All authors read
and approved final version of the manuscript.
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
17
References
1. Zhao SG, Chang SL, Erho N, Yu M, Lehrer J, Alshalalfa M, Speers C,
Cooperberg MR, Kim W, Ryan CJ, et al. (2017) Associations of Luminal and Basal
Subtyping of Prostate Cancer With Prognosis and Response to Androgen Deprivation
Therapy. JAMA Oncol 3, 1663-1672.
2. Goldstein AS, Huang J, Guo C, Garraway IP & Witte ON (2010) Identification of
a cell of origin for human prostate cancer. Science 329, 568-571.
3. Choi N, Zhang B, Zhang L, Ittmann M & Xin L (2012) Adult murine prostate
basal and luminal cells are self-sustained lineages that can both serve as targets for
prostate cancer initiation. Cancer Cell 21, 253-265.
4. Tannenbaum M (1975) Adenoid cystic or "salivary gland" carcinomas of prostate.
Urology 6, 238-239.
5. Halat SK & MacLennan GT (2008) Adenoid cystic/basal cell carcinoma of the
prostate. J Urol 179, 1576.
6. Komura K, Inamoto T, Tsuji M, Ibuki N, Koyama K, Ubai T, Azuma H &
Katsuoka Y (2010) Basal cell carcinoma of the prostate: unusual subtype of prostatic
carcinoma. Int J Clin Oncol 15, 594-600.
7. Chang K, Dai B, Kong Y, Qu Y, Wu J, Ye D, Yao X, Zhang S, Zhang H, Zhu Y, et
al. (2013) Basal cell carcinoma of the prostate: clinicopathologic analysis of three
cases and a review of the literature. World J Surg Oncol 11, 193.
8. Ali TZ & Epstein JI (2007) Basal cell carcinoma of the prostate: a
clinicopathologic study of 29 cases. Am J Surg Pathol 31, 697-705.
9. Ayyathurai R, Civantos F, Soloway MS & Manoharan M (2007) Basal cell
carcinoma of the prostate: current concepts. BJU Int 99, 1345-1349.
10. The Cancer Genome Atlas Research Network (2015) The Molecular Taxonomy
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
18
of Primary Prostate Cancer. Cell 163, 1011-1025.
11. Robinson D, Van Allen EM, Wu YM, Schultz N, Lonigro RJ, Mosquera JM,
Montgomery B, Taplin ME, Pritchard CC, Attard G, et al. (2015) Integrative clinical
genomics of advanced prostate cancer. Cell 161, 1215-1228.
12. Pritchard CC, Mateo J, Walsh MF, De Sarkar N, Abida W, Beltran H, Garofalo A,
Gulati R, Carreira S, Eeles R, et al. (2016) Inherited DNA-Repair Gene Mutations in
Men with Metastatic Prostate Cancer. N Engl J Med 375, 443-453.
13. Fraser M, Sabelnykova VY, Yamaguchi TN, Heisler LE, Livingstone J, Huang V,
Shiah YJ, Yousif F, Lin X, Masella AP, et al. (2017) Genomic hallmarks of localized,
non-indolent prostate cancer. Nature 541, 359-364.
14. Grasso CS, Wu YM, Robinson DR, Cao X, Dhanasekaran SM, Khan AP, Quist
MJ, Jing X, Lonigro RJ, Brenner JC, et al. (2012) The mutational landscape of lethal
castration-resistant prostate cancer. Nature 487, 239-243.
15. Quigley DA, Dang HX, Zhao SG, Lloyd P, Aggarwal R, Alumkal JJ, Foye A,
Kothari V, Perry MD, Bailey AM, et al. (2018) Genomic Hallmarks and Structural
Variation in Metastatic Prostate Cancer. Cell 174, 758-769.
16. Espiritu SMG, Liu LY, Rubanova Y, Bhandari V, Holgersen EM, Szyca LM, Fox
NS, Chua MLK, Yamaguchi TN, Heisler LE, et al. (2018) The Evolutionary
Landscape of Localized Prostate Cancers Drives Clinical Aggression. Cell 173,
1003-1013 e1015.
17. Baca SC, Prandi D, Lawrence MS, Mosquera JM, Romanel A, Drier Y, Park K,
Kitabayashi N, MacDonald TY, Ghandi M, et al. (2013) Punctuated evolution of
prostate cancer genomes. Cell 153, 666-677.
18. Smith BA, Sokolov A, Uzunangelov V, Baertsch R, Newton Y, Graim K, Mathis
C, Cheng D, Stuart JM & Witte ON (2015) A basal stem cell signature identifies
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
19
aggressive prostate cancer phenotypes. Proc Natl Acad Sci U S A 112, E6544-6552.
19. Zhang D, Park D, Zhong Y, Lu Y, Rycaj K, Gong S, Chen X, Liu X, Chao HP,
Whitney P, et al. (2016) Stem cell and neurogenic gene-expression profiles link
prostate basal cells to aggressive prostate cancer. Nat Commun 7, 10798.
20. Henry G, Malewska A, Mauck R, Gahan J, Hutchinson R, Torrealba J, Francis F,
Roehrborn C & Strand D (2017) Molecular pathogenesis of human prostate basal cell
hyperplasia. Prostate 77, 1344-1355.
21. Gao S, Yan L, Wang R, Li J, Yong J, Zhou X, Wei Y, Wu X, Wang X, Fan X, et al.
(2018) Tracing the temporal-spatial transcriptome landscapes of the human fetal
digestive tract using single-cell RNA-sequencing. Nat Cell Biol 20, 721-734.
22. Han X, Wang R, Zhou Y, Fei L, Sun H, Lai S, Saadatpour A, Zhou Z, Chen H, Ye
F, et al. (2018) Mapping the Mouse Cell Atlas by Microwell-Seq. Cell 172, 1091-1107
e1017.
23. Tanay A & Regev A (2017) Scaling single-cell genomics from phenomenology to
mechanism. Nature 541, 331-338.
24. Sondka Z, Bamford S, Cole CG, Ward SA, Dunham I & Forbes SA (2018) The
COSMIC Cancer Gene Census: describing genetic dysfunction across all human
cancers. Nat Rev Cancer 18, 696-705.
25. Taylor RA, Fraser M, Rebello RJ, Boutros PC, Murphy DG, Bristow RG &
Risbridger GP (2019) The influence of BRCA2 mutation on localized prostate cancer.
Nat Rev Urol 16, 281-290.
26. Alexandrov LB, Nik-Zainal S, Wedge DC, Aparicio SA, Behjati S, Biankin AV,
Bignell GR, Bolli N, Borg A, Borresen-Dale AL, et al. (2013) Signatures of
mutational processes in human cancer. Nature 500, 415-421.
27. Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, Sun Y,
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
20
Jacobsen A, Sinha R, Larsson E, et al. (2013) Integrative analysis of complex cancer
genomics and clinical profiles using the cBioPortal. Sci Signal 6, pl1.
28. Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA,
Paulovich A, Pomeroy SL, Golub TR, Lander ES, et al. (2005) Gene set enrichment
analysis: a knowledge-based approach for interpreting genome-wide expression
profiles. Proc Natl Acad Sci U S A 102, 15545-15550.
29. Sun X, Wang SC, Wei Y, Luo X, Jia Y, Li L, Gopal P, Zhu M, Nassour I, Chuang
JC, et al. (2017) Arid1a has context-dependent oncogenic and tumor suppressor
functions in liver cancer. Cancer Cell 32, 574-589 e576.
30. Shepherd JH, Uray IP, Mazumdar A, Tsimelzon A, Savage M, Hilsenbeck SG &
Brown PH (2016) The SOX11 transcription factor is a critical regulator of basal-like
breast cancer growth, invasion, and basal-like gene expression. Oncotarget 7,
13106-13121.
31. Wansleben S, Peres J, Hare S, Goding CR & Prince S (2014) T-box transcription
factors in cancer biology. Biochim Biophys Acta 1846, 380-391.
32. Beltran H, Prandi D, Mosquera JM, Benelli M, Puca L, Cyrta J, Marotz C,
Giannopoulou E, Chakravarthi BV, Varambally S, et al. (2016) Divergent clonal
evolution of castration-resistant neuroendocrine prostate cancer. Nat Med 22,
298-305.
33. Miyamoto DT, Zheng Y, Wittner BS, Lee RJ, Zhu H, Broderick KT, Desai R, Fox
DB, Brannigan BW, Trautwein J, et al. (2015) RNA-Seq of single prostate CTCs
implicates noncanonical Wnt signaling in antiandrogen resistance. Science 349,
1351-1356.
34. Bendall SC, Stewart MH, Menendez P, George D, Vijayaragavan K,
Werbowetski-Ogilvie T, Ramos-Mejia V, Rouleau A, Yang J, Bosse M, et al. (2007)
IGF and FGF cooperatively establish the regulatory stem cell niche of pluripotent
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
21
human cells in vitro. Nature 448, 1015-1021.
35. Yang XJ, McEntee M & Epstein JI (1998) Distinction of basaloid carcinoma of
the prostate from benign basal cell lesions by using immunohistochemistry for bcl-2
and Ki-67. Hum Pathol 29, 1447-1450.
36. Iczkowski KA, Ferguson KL, Grier DD, Hossain D, Banerjee SS, McNeal JE &
Bostwick DG (2003) Adenoid cystic/basal cell carcinoma of the prostate:
clinicopathologic findings in 19 cases. Am J Surg Pathol 27, 1523-1529.
37. Montironi R, Mazzucchelli R, Stramazzotti D, Scarpelli M, Lopez Beltran A &
Bostwick DG (2005) Basal cell hyperplasia and basal cell carcinoma of the prostate: a
comprehensive review and discussion of a case with c-erbB-2 expression. J Clin
Pathol 58, 290-296.
38. Zhao SG, Chen WS, Das R, Chang SL, Tomlins SA, Chou J, Quigley DA, Dang
HX, Barnard TJ, Mahal BA, et al. (2019) Clinical and Genomic Implications of
Luminal and Basal Subtypes Across Carcinomas. Clin Cancer Res 25, 2450-2457.
39. Wang X, Park J, Susztak K, Zhang NR & Li M (2019) Bulk tissue cell type
deconvolution with multi-subject single-cell expression reference. Nat Commun 10,
380.
40. Leongamornlert D, Saunders E, Dadaev T, Tymrakiewicz M, Goh C,
Jugurnauth-Little S, Kozarewa I, Fenwick K, Assiotis I, Barrowdale D, et al. (2014)
Frequent germline deleterious mutations in DNA repair genes in familial prostate
cancer cases are associated with advanced disease. Br J Cancer 110, 1663-1672.
41. Castro E, Goh C, Olmos D, Saunders E, Leongamornlert D, Tymrakiewicz M,
Mahmud N, Dadaev T, Govindasami K, Guy M, et al. (2013) Germline BRCA
mutations are associated with higher risk of nodal involvement, distant metastasis,
and poor survival outcomes in prostate cancer. J Clin Oncol 31, 1748-1757.
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
22
42. Gallagher DJ, Gaudet MM, Pal P, Kirchhoff T, Balistreri L, Vora K, Bhatia J,
Stadler Z, Fine SW, Reuter V, et al. (2010) Germline BRCA mutations denote a
clinicopathologic subset of prostate cancer. Clin Cancer Res 16, 2115-2121.
43. Cheng HH, Pritchard CC, Boyd T, Nelson PS & Montgomery B (2016) Biallelic
Inactivation of BRCA2 in Platinum-sensitive Metastatic Castration-resistant Prostate
Cancer. Eur Urol 69, 992-995.
44. Mateo J, Carreira S, Sandhu S, Miranda S, Mossop H, Perez-Lopez R, Nava
Rodrigues D, Robinson D, Omlin A, Tunariu N, et al. (2015) DNA-Repair Defects
and Olaparib in Metastatic Prostate Cancer. N Engl J Med 373, 1697-1708.
45. Su X, Shi Y, Zou X, Lu Z-N, Xie G, Yang JYH, Wu C-C, Cui X-F, He K-Y, Luo
Q, et al. (2017) Single-cell RNA-Seq analysis reveals dynamic trajectories during
mouse liver development. BMC Genomics 18, 946.
46. McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A,
Garimella K, Altshuler D, Gabriel S, Daly M, et al. (2010) The Genome Analysis
Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing
data. Genome Res 20, 1297-1303.
47. Wang K, Li M & Hakonarson H (2010) ANNOVAR: functional annotation of
genetic variants from high-throughput sequencing data. Nucleic Acids Res 38, e164.
48. Sherry ST, Ward MH, Kholodov M, Baker J, Phan L, Smigielski EM & Sirotkin
K (2001) dbSNP: the NCBI database of genetic variation. Nucleic Acids Res 29,
308-311.
49. Auton A, Brooks LD, Durbin RM, Garrison EP, Kang HM, Korbel JO, Marchini
JL, McCarthy S, McVean GA & Abecasis GR (2015) A global reference for human
genetic variation. Nature 526, 68-74.
50. Blokzijl F, Janssen R, van Boxtel R & Cuppen E (2018) MutationalPatterns:
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
23
comprehensive genome-wide analysis of mutational processes. Genome Med 10, 33.
51. Kiselev VY, Kirschner K, Schaub MT, Andrews T, Yiu A, Chandra T, Natarajan
KN, Reik W, Barahona M, Green AR, et al. (2017) SC3: consensus clustering of
single-cell RNA-seq data. Nat Methods 14, 483-486.
52. Zhang HM, Liu T, Liu CJ, Song S, Zhang X, Liu W, Jia H, Xue Y & Guo AY
(2015) AnimalTFDB 2.0: a resource for expression, prediction and functional study of
animal transcription factors. Nucleic Acids Res 43, D76-81.
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
24
Figure Legend
Fig. 1. Histological and immunohistochemical staining of the prostate BCC. H&E
staining and the expressions of CK34βE12, P63, PAP and PSA are shown.
Fig. 2. Whole exome sequencing reveals the mutational landscape of prostate BCC.
(A) General description of the exome sequencing of mixtures from genomic
amplification products of prostate BCC single cells and numbers of genetic variations.
(B) Mutational spectra of the prostate BCC based on the variants after SNP filter. (C)
Contributions of COSMIC signatures to the prostate BCC mutational spectra. (D)
Distribution of the variant allele frequency (VAF) of the exonic mutations of prostate
BCC. (E) Summary of the driver (overlapped with The Cancer Gene Census) and
putative sub-clonal (VAF lower than 0.35) mutations of prostate BCC. (F) Percent of
samples mutated in the cBioPortal prostate cancer datasets with those above 1%
shown for the exonic mutated genes in prostate BCC. The red stars indicate Census
driver genes. (G) The items enriched with the exonic mutated genes in prostate BCC
via GSEA/MSigDB canonical pathway enrichment analysis.
Fig. 3. Single-cell RNA-Seq reveals the constituent cell types in the prostate BCC. (A)
Experimental workflow. (B) Heat-map showing the single-cell gene-expression
patterns of the three clusters identified. (C) Heat-map showing the Pearson correlation
coefficients between single-cells. (D) The top 10 items enriched with the gene sets
specifically expressed in each cell cluster via GSEA/MSigDB canonical pathway
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
25
enrichment analysis.
Fig. 4. Single-cell RNA-Seq reveals the transcriptomic features of prostate BCC. (A)
Heat-map showing the expression patterns of top 20 genes specifically and highly
expressed in each cluster, and t-SNE plot of the three clusters. (B) The expression of
selected markers with the median values and the first and third quartiles shown. (C)
Immunohistochemical staining of the specimen with CK14 antibody. (D) TFs
covariance networks of the single-cell data. Each node represents a TF, and each edge
represents correlation between two TFs. The TFs specifically expressed in each
cluster are colored differently.
Fig. 5. Single-cell analysis of prostate BCC provide new insights to prostate cancer.
(A) (left) Heat-map showing the clustering of FACS sorted luminal (CD49f Lo) and
basal (CD49f Hi) cell populations from human benign and cancerous prostates based
on the genes highly expressed in prostate BCC tumor cells; (right) Heat-map showing
the Pearson correlation coefficients between the genes. (Data from Smith et al. PNAS
2015; 112: E6544-E6552). (B) Analysis of prostate cancer samples in similar
approach as (A). (Data from Robinson et al. Cell 2015; 161: 1215–1228). (C)
Comparison of the gene expression profiles of single cells from Cluster 1~3 of
prostate BCC with human prostate CTCs (CTC-candidate and CTC-confirmed), bulk
primary tumors, single cells from prostate cancer cell lines (Pca cell line) and white
blood cells (Data from Miyamoto et al. Science 2015; 349: 1351-1356).
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
100× 200×
H&E
CK34βE12
P63
PAP
PSA
Fig 1
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
Variant Allele Frequency
Nu
mb
er
of V
ari
an
t
0.0 0.2 0.4 0.6 0.8 1.0
01
02
03
0
0 2 4 6 8
GO_regulation_of_cell_cycle
GO_cytoskeleton_organization
GO_microtubule_cytoskeleton_org…
GO_microtubule_based_process
GO_microtubule_bundle_formation
GO_cell_cycle
GO_regulation_of_microtubule_ba…
GO_intracellular_signal_transduction
GO_regulation_of_hydrolase_activity
GO_negative_regulation_of_cataly…
kegg_cell_adhesion_molecules_ca…
GO_cell_cycle_process
GO_single_organism_cellular_loca…
-log10(p)
Group Gene #Chr Position Ref Alt AA change VAF
Driv
er
CASC5 15 40903002 A G S86G 0.68
NUTM1 15 34640367 G C V90L 0.63
PTPRC 1 198713275 T A H769Q 0.59
KMT2C 7 151845915 A T I4366N 0.54
TBX3 12 115112422 C G A420P 0.42
Su
b-c
lon
al
KRT18 12 53343099 G A V48M 0.33
TNRC18 7 5360200 G A P2200L 0.33
KRT18 12 53343132 G T G59W 0.33
SCUBE3 6 35213742 C T T874I 0.30
KRT18 12 53343148 C G A64G 0.27
ART5 11 3661519 T G E47A 0.25
MST1L 1 17084321 A G C566R 0.17
CCDC40 17 78064020 C A T972K 0.12
C7orf26 7 6647724 G C A428P 0.09
0
0.1
0.2
0.3
C>
A
C>
G
C>
T
T>
A
T>
C
T>
G
Pro
port
ion
0
0.2
0.4
0.6
0.8
1
Signature 4
Signature 5
Signature 6
Signature 12
Signature 17
Signature 23
Signature 24
Pro
port
ion
Percent Samples Altered
Whole genome amplification of BCC single cells
Whole exome sequencing (Mixture of 49 cells)
7395 variations after SNP filter
91 exonic variations
5 genes overlap with Census
A B C
D E
F G
Fig 2
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
Single cells(SC) Captured SC Library prep scRNA-Seq SC transcriptome
0 2 4 6 8 10
reactome_cell_cell_junction_organization
kegg_endometrial_cancer
pid_ajdiss_2pathway
reactome_cell_junction_organization
reactome_cell_cell_communication
kegg_arrhythmogenic_right_ventricular_…
kegg_adherens_junction
kegg_melanoma
kegg_prostate_cancer
kegg_pathways_in_cancer
0 10 20 30 40 50
reactome_axon_guidance
reactome_developmental_biology
reactome_extracellular_matrix_organizati…
pid_avb3_integrin_pathway
naba_matrisome_associated
kegg_focal_adhesion
pid_integrin1_pathway
naba_ecm_glycoproteins
naba_core_matrisome
naba_matrisome
0 10 20 30 40 50
reactome_class_a1_rhodopsin_like_recep…
reactome_g_alpha_i_signalling_events
reactome_cytokine_signaling_in_immune…
reactome_innate_immune_system
kegg_leishmania_infection
reactome_platelet_activation_signaling_a…
kegg_chemokine_signaling_pathway
reactome_hemostasis
reactome_adaptive_immune_system
reactome_immune_system
-log10(p)
Tumor_C02Tumor_C05Tumor_C06Tumor_C07Tumor_C08Tumor_C14Tumor_C15Tumor_C16Tumor_C20Tumor_C22Tumor_C23Tumor_C24Tumor_C27Tumor_C28Tumor_C32Tumor_C33Tumor_C37Tumor_C38Tumor_C40Tumor_C43Tumor_C49Tumor_C50Tumor_C51Tumor_C57Tumor_C58Tumor_C60Tumor_C62Tumor_C63Tumor_C66Tumor_C68Tumor_C70Tumor_C71Tumor_C72Tumor_C73Tumor_C74Tumor_C76Tumor_C77Tumor_C79Tumor_C81Tumor_C82Tumor_C84Tumor_C85Tumor_C86Tumor_C87Tumor_C88Tumor_C89Tumor_C90Tumor_C92Tumor_C93Tumor_C94Tumor_C95Tumor_C01Tumor_C04Tumor_C26Tumor_C41Tumor_C42Tumor_C53Tumor_C69Tumor_C10Tumor_C12Tumor_C19Tumor_C34Tumor_C75Tumor_C91
ZY
XZ
NF
80
4A
ZN
F7
18
ZN
F5
71
ZN
F3
31
ZN
F2
81
ZM
IZ1
ZF
P3
6L
2Z
EB
2-A
S1
ZD
HH
C2
ZB
TB
20
-AS
4Y
WH
AH
YIP
F5
YB
X1
XY
LT
1X
XY
LT
1X
RN
2W
IPF
1W
FD
C2
1P
WD
R4
5B
WA
SH
C4
WA
SH
3P
VS
IG4
VM
O1
VA
V1
VA
SH
1V
AM
P8
UT
P1
4A
US
F2
UR
B1
-AS
1U
CP
2U
BX
N2
BU
BE
2D
1U
BA
C1
TY
RO
BP
TX
ND
C1
1T
TC
38
TS
PA
N3
3T
SP
AN
14
TR
EM
2T
RE
M1
TR
AP
PC
2L
TP
P1
TP
M3
TP
D5
2L
2T
OX
4T
NF
SF
13
BT
NF
SF
13
TN
FR
SF
1B
TN
FA
IP3
TN
FA
IP2
TM
EM
52
BT
ME
M2
20
TM
EM
20
6T
ME
M1
92
TM
EM
18
4B
TM
EM
14
BT
ME
D5
TM
CO
3T
LR
4T
INF
2T
ICA
M1
TH
TP
AT
HE
MIS
2T
GS
1T
GO
LN
2T
GF
BR
1T
FE
3T
CP
1T
BX
AS
1T
AR
BP
2T
AF
9B
TA
F1
AT
AD
A2
AS
YN
RG
SY
KS
WT
1S
WA
P7
0S
US
D1
SU
PT
5H
SU
GP
1S
TY
XL
1S
TK
40
ST
K1
7B
ST
AT
5A
ST
AR
D5
ST
AR
D3
NL
ST
AB
1S
T8
SIA
4S
T3
GA
L6
SS
R1
SR
SF
5S
RG
NS
RG
AP
2B
SP
P1
SP
IDR
SP
14
0S
P1
10
SP
10
0S
NX
17
SN
X1
0S
NO
RD
58
CS
NO
RA
75
SN
OR
A5
5S
NO
RA
16
AS
NO
RA
10
0S
NH
G1
5S
NC
AS
MP
D1
SL
CO
2B
1S
LC
7A
8S
LC
7A
7S
LC
7A
5S
LC
48
A1
SL
C4
7A
1S
LC
40
A1
SL
C3
9A
4S
LC
37
A2
SL
C3
5F
6S
LC
31
A2
SL
C3
1A
1S
LC
30
A4
SL
C2
9A
1S
LC
25
A2
4S
LC
1A
3S
LC
16
A1
SL
C1
5A
3S
LA
MF
8S
LA
SK
AP
2S
IRP
AS
IGL
EC
9S
IGL
EC
14
SH
Q1
SH
3D
19
SH
2B
3S
GK
1S
FT
2D
1S
ET
D3
SE
RP
INB
9S
ER
PIN
B1
SE
RP
INA
1S
EM
A4
DS
EL
PL
GS
EL
1L
3S
EL
1L
SD
SS
DC
BP
SD
C3
SC
RN
1S
CO
2S
CN
N1
BS
CD
SA
TB
1S
AT
1S
AR
1B
SA
P1
8S
AM
D9
LS
1P
R2
S1
00
A9
S1
00
A5
RT
FD
C1
RR
M2
BR
PS
19
BP
1R
PP
14
RN
VU
1-2
0R
NF
21
6P
1R
NF
14
9R
NF
14
4B
RN
AS
ET
2R
NA
SE
6R
NA
SE
1R
IPK
2R
HO
QR
HO
GR
HB
DF
2R
GS
2R
GS
10
RG
S1
RE
LR
EE
P5
RE
CQ
LR
CS
D1
RB
MX
2R
BM
47
RA
SS
F5
RA
SS
F4
RA
SS
F3
RA
SS
F2
RA
SG
EF
1B
RA
SA
2R
AP
2B
RA
D2
3A
RA
C2
RA
B2
6R
AB
20
RA
B1
0P
YC
AR
D-A
S1
PY
CA
RD
PX
DC
1P
TP
RE
PT
PR
CP
TP
N2
3P
TG
S2
PT
GS
1P
TG
ER
4P
SM
E2
PS
AP
PR
PS
1P
RE
X1
PR
EP
PR
DM
1P
PP
2R
5E
PP
M1
GP
PC
SP
OL
D4
PL
TP
PL
SC
R1
PL
P2
PL
IN3
PL
EK
HJ
1P
LE
KH
B2
PL
EK
PL
CG
2P
LB
D1
PL
AU
RP
LA
2G
7P
LA
2G
16
PIP
4K
2A
PIL
RA
PIK
3C
GP
IK3
AP
1P
IGF
PH
LD
A1
PE
CA
M1
PE
A1
5P
DP
1P
DG
FB
PD
E4
BP
BX
3P
AL
D1
PA
2G
4P
4P
2R
Y1
3P
2R
Y1
2O
TU
D1
OL
R1
OL
FM
L3
OG
FR
NX
T2
NR
IP1
NR
4A
2N
QO
2N
PC
2N
ME
6N
MB
NL
RP
3N
INJ
2N
GD
NN
FK
BIA
NF
E2
L2
NF
AT
C2
NE
K6
ND
UF
B2
-AS
1N
DS
T2
NC
OA
4N
CF
4N
CF
2N
CB
P1
NA
MP
TM
YO
9B
MY
CT
1M
X2
MX
1M
TP
NM
TM
R1
MS
R1
MS
4A
7M
S4
A6
AM
S4
A4
AM
RP
S1
8A
MR
PL
49
MR
PL
28
MR
PL
18
MR
C1
MR
1M
PP
1M
PE
G1
MN
DA
MM
DM
LK
LM
KL
1M
IR4
64
7M
IR1
55
HG
MIE
F2
MG
ST
2M
GC
16
27
5M
GA
T5
MF
SD
5M
FS
D2
AM
FS
D1
MF
HA
S1
ME
SD
C1
ME
D2
9M
ED
1M
CM
3A
PM
CL
1M
AP
KA
PK
3M
AP
3K
8M
AP
3K
2M
AP
1L
C3
B2
MA
P1
LC
3B
MA
NB
AM
AN
2B
1M
AL
T1
MA
FF
MA
FB
MA
FL
YZ
LY
NL
Y9
6L
Y8
6L
SM
5L
RR
C4
0L
RR
C2
5L
PA
R5
LP
AR
2L
OC
14
54
74
LO
C1
05
37
14
14
LO
C1
05
37
05
26
LO
C1
02
72
42
97
LO
C1
00
99
68
42
LO
C1
00
50
66
06
LO
C1
00
28
87
98
LO
C1
00
13
03
57
LO
C1
00
12
90
34
LM
O2
LIT
AF
LIP
AL
INC
01
27
2L
INC
01
12
5L
INC
01
09
4L
ILR
B5
LIL
RB
2L
GM
NL
GA
LS
9L
CP
2L
CP
1L
BR
LA
T2
LA
PT
M5
LA
CT
BL
3M
BT
L4
-AS
1K
LF
4K
LF
2K
IF3
BK
DM
2A
KC
TD
12
KA
NT
RJ
UN
BJ
MJ
D6
JM
JD
1C
JA
ZF
1J
AM
LIT
PK
1IT
GB
3IT
GB
2IT
GA
XIT
GA
MIS
CU
IRF
5IR
AK
4IQ
GA
P2
INS
IG1
INIP
IL6
IL1
BIL
18
IKZ
F1
IGS
F6
IGS
F2
1IF
IH1
IFI4
4L
IFI3
0IF
I27
L2
IFI2
7IE
R5
ID2
ICA
M1
HS
PA
7H
SP
90
AA
1H
PG
DS
HN
RN
PD
LH
NR
NP
CH
MG
N4
HM
GB
2H
MG
A1
HM
13
HL
A-D
RB
5H
LA
-DQ
A1
HK
3H
IPK
3H
IF1
A-A
S2
HE
XB
HE
XA
HE
S6
HE
RP
UD
1H
CS
TH
CL
S1
HC
KH
CA
R3
HC
AR
2H
BE
GF
HA
VC
R2
GY
PC
GS
TO
1G
SK
IPG
RW
D1
GR
NG
RA
SP
GP
X1
GP
R6
5G
PR
34
GP
R1
83
GP
R1
37
BG
PR
13
2G
PN
MB
GP
N2
GP
KO
WG
OL
GA
3G
NP
DA
1G
NG
5G
NB
1G
NA
I2G
NA
13
GM
FG
GL
UL
GL
DN
GK
GIM
AP
4G
GT
A1
PG
DA
P2
GB
P3
GB
P2
GA
TS
GA
S7
GA
PT
GA
PL
INC
GA
LT
FY
BF
US
FU
OM
FT
H1
P3
FT
H1
FP
R3
FP
R1
FO
LR
2F
NIP
2F
LII
FG
L2
FG
D2
FE
Z2
FE
RM
T3
FC
HO
2F
CG
R3
BF
CG
R3
AF
CG
R2
CF
CG
R2
BF
CG
R2
AF
CG
R1
CP
FC
GR
1B
FC
GR
1A
FC
ER
1G
FA
M4
9A
FA
M1
88
AF
AM
17
5B
FA
M1
29
AF
AM
12
0A
FA
M1
02
BE
VI2
BE
TS
2E
PS
15
EP
B4
1L
3E
NT
PD
1E
NG
EM
P3
EM
BE
LL
2E
IF2
B4
EG
R2
EB
AG
9D
YN
LR
B1
DU
SP
2D
US
P1
0D
US
P1
DP
EP
2D
OK
3D
OC
K8
DO
CK
7D
OC
K2
DN
TT
IP2
DN
AJ
C5
DIA
PH
2-A
S1
DH
OD
HD
ER
AD
EN
ND
2D
DE
F6
DA
ZA
P2
DA
PP
1D
AB
2C
YT
H1
CY
P2
S1
CY
LD
CY
FIP
1C
YB
BC
YB
AC
YB
5R
4C
XC
R4
CX
CL
8C
XC
L3
CX
CL
2C
XC
L1
6C
TS
SC
TS
DC
TS
BC
TN
SC
ST
3C
SR
NP
1C
SF
3R
CS
F2
RB
CS
F1
RC
RY
L1
CR
Y1
CR
EM
CR
EB
L2
CP
VL
CP
SF
2C
PE
D1
CO
X5
AC
OX
14
CO
TL
1C
OM
MD
9C
NP
Y3
CM
TM
7C
MK
LR
1C
LE
C7
AC
LE
C4
AC
LD
N1
CK
LF
CID
EB
CH
CH
D1
0C
EP
63
CE
P3
50
CE
P1
70
CE
CR
1C
DC
73
CD
93
CD
86
CD
84
CD
83
CD
81
CD
74
CD
69
CD
68
CD
53
CD
40
CD
4C
D3
7C
D3
3C
D2
8C
D1
63
CD
14
CC
R1
CC
L8
CC
L4
L2
CC
L4
L1
CC
L4
CC
L3
L3
CC
L3
L1
CC
L3
CC
L2
0C
CL
2C
CD
C8
8A
CC
DC
11
2C
AS
P1
0C
AS
P1
CA
RD
8C
AR
D1
6C
AP
GC
AB
39
C9
orf7
2C
6o
rf62
C5
AR
1C
3A
R1
C3
C2
orf6
9C
1Q
CC
1Q
BC
1Q
AC
1o
rf16
2C
17
orf5
8C
15
orf4
8B
OR
CS
8B
MP
2K
BL
VR
BB
LO
C1
S2
BL
NK
BIR
C3
BID
BC
L2
L1
BC
AT
1B
CA
S2
BA
Z1
AA
TP
8B
4A
TP
6V
1F
AT
P6
V1
B2
AT
P6
V0
BA
TP
13
A3
AT
F3
AS
NS
D1
AS
LA
RR
B2
AR
PC
5L
AR
PC
3A
RP
C1
BA
RL
6IP
4A
RL
4C
AR
ID4
AA
RH
GA
P1
8A
RH
GA
P1
5A
PR
TA
PO
C2
AP
OC
1A
PH
1B
AP
CA
PB
B1
IPA
P2
S1
AP
1B
1A
NK
RD
44
AN
KF
Y1
AN
GA
MZ
2A
MD
HD
2A
LO
X5
AP
AL
OX
5A
LD
H3
B2
AL
CA
MA
KR
1B
1A
KA
P1
3A
DP
RH
AD
GR
E2
AD
AP
2A
DA
M2
8A
CT
R3
AC
SL
1A
CR
BP
AC
AA
2A
BT
1A
BR
AC
LA
BC
F2
ZN
F8
29
ZN
F8
ZN
F7
73
ZN
F7
21
ZN
F6
84
ZN
F6
52
ZN
F6
39
ZN
F6
05
ZN
F4
84
ZN
F4
68
ZN
F4
51
ZN
F4
38
ZN
F4
19
ZN
F3
94
ZN
F3
33
ZN
F3
24
ZN
F3
0Z
NF
28
0D
ZN
F2
77
ZN
F1
38
ZH
X1
ZF
YV
E1
9Z
FP
90
ZF
HX
4Z
EB
2Z
EB
1Z
C4
H2
ZC
3H
7A
ZB
TB
39
ZB
TB
38
YW
HA
EY
IF1
AY
AE
1D
1X
RR
A1
XA
F1
WW
C3
WT
AP
WN
T5
AW
ISP
1W
HA
MM
WD
R4
5W
AS
HC
2A
VS
TM
4V
RK
3V
PS
8V
PS
13
BV
OP
P1
VIM
VH
LV
GL
L3
VE
GF
BV
DA
C3
VA
MP
5U
SP
9X
US
P7
US
P3
1U
SP
3U
SP
22
US
P2
US
P1
3U
RO
DU
QC
R1
1U
NC
5B
UG
GT
1U
FL
1U
BX
N4
UB
L5
UB
E4
AU
BE
2Q
2P
1U
BE
2F
UB
E2
E2
UB
E2
D4
UB
E2
D3
TX
NR
D1
TW
SG
1T
WIS
T1
TU
BB
6T
TL
L3
TT
C3
7T
ST
A3
TS
R2
TS
PA
N6
TS
PA
N3
1T
SG
10
1T
SE
N1
5T
SC
22
D3
TS
C2
2D
1T
RIM
8T
RIM
59
TR
IM2
2T
RIL
TR
AP
PC
5T
RA
PP
C2
BT
RA
2A
TP
T1
TP
PP
3T
PM
1T
PB
GT
P5
3IN
P1
TO
R1
AIP
1T
OM
M7
TN
S1
TN
RC
6B
TN
KS
TN
FS
F1
0T
NF
RS
F2
1T
NF
RS
F1
2A
TN
FA
IP6
TM
X1
TM
LH
ET
MF
1T
ME
M5
9T
ME
M4
5A
TM
EM
35
BT
ME
M3
0A
TM
EM
25
1T
ME
M2
48
TM
EM
21
9T
ME
M2
12
TM
EM
20
4T
ME
M2
00
AT
ME
M1
4A
TM
EM
12
6B
TM
EM
12
0A
TM
EM
11
TM
ED
4T
MB
IM6
TM
BIM
4T
LE
1T
JP
1T
IMP
3T
IMP
2T
IMP
1T
IMM
9T
IMM
22
TH
Y1
TH
UM
PD
1T
HR
AP
3T
HO
C2
TH
BS
4T
HB
S2
TH
AP
4T
GF
BR
2T
GF
BI
TG
FB
3T
FP
IT
FB
1M
TF
AM
TE
X2
61
TD
P2
TC
F4
TC
EA
L9
TC
EA
L4
TB
X1
5T
BR
G1
TB
CB
TB
C1
D2
4T
BC
1D
15
TA
GL
NT
AF
8T
AF
5L
TA
DA
2B
TA
CC
1S
YT
11
SY
NP
O2
SY
NJ
2B
P-C
OX
16
SY
NJ
2B
PS
YN
GR
1S
YN
E2
SY
NE
1-A
S1
SW
I5S
UM
O3
SU
MO
2S
UL
F1
SU
GT
1S
UC
LA
2S
TX
7S
TX
2S
TT
3A
ST
RN
3S
TR
AP
ST
N1
ST
K3
ST
EA
P2
ST
EA
P1
ST
AT
1S
T7
LS
ST
R2
SS
SC
A1
SS
R4
SS
PN
SS
BS
RP
X2
SR
PX
SR
P9
SR
P5
4S
RG
AP
2D
SR
EK
1IP
1S
QS
TM
1S
QR
DL
SP
TB
N1
SP
RY
4-IT
1S
PO
PS
PO
N2
SP
OC
K1
SP
IN1
SP
HK
1S
PG
20
SP
CS
3S
PC
S2
SP
C2
5S
PA
TS
2L
SP
AR
CL
1S
PA
RC
SN
X6
SN
X2
SN
U1
3S
NR
PN
SN
RN
P3
5S
NO
RA
10
4S
NE
D1
SN
AP
C1
SN
AP
23
SM
OC
2S
MIM
10
L1
SM
C6
SM
C1
AS
MA
RC
A1
SM
AP
1S
LIT
2S
LC
7A
6S
LC
6A
6S
LC
5A
3S
LC
50
A1
SL
C4
4A
1S
LC
41
A2
SL
C3
5F
5S
LC
35
F1
SL
C3
5B
4S
LC
30
A7
SL
C2
A3
SL
C2
A1
3S
LC
26
A2
SL
C1
2A
8S
IPA
1L
1S
H3
KB
P1
SH
3G
LB
1S
GP
P1
SG
MS
2S
GIP
1S
GF
29
SG
CE
SG
CB
SF
RP
4S
FR
P2
SE
RP
ING
1S
ER
PIN
E1
SE
RP
INB
6S
ER
P1
SE
RF
2S
EN
P6
SE
MA
5A
SE
LE
NO
WS
EL
EN
ON
SE
C2
4D
SE
C2
3A
SE
C2
2B
SD
HB
SD
F2
L1
SD
F2
SD
C2
SC
N7
AS
CM
L1
SC
AR
NA
18
SB
NO
1S
BD
SP
1S
BD
SS
AR
SS
AR
NP
SA
P3
0B
PS
AM
HD
1S
AF
BS
10
0A
6S
10
0A
3R
WD
D3
RU
NX
1T
1R
RP
1B
RR
P1
5R
RB
P1
RR
AG
BR
PS
15
AP
10
RP
P3
0R
PE
RO
R2
RN
PC
3R
NF
7R
NF
21
6R
NF
18
5R
NF
17
0R
NF
13
5R
NF
13
0R
NF
11
1R
NF
11
RN
AS
EL
RN
AS
EK
RIT
A1
RIN
2R
HO
BT
B3
RH
BD
D3
RG
S5
RG
S1
6R
GC
CR
FT
N2
RF
LN
BR
EL
L1
RE
EP
3R
DX
RD
H1
1R
BP
JR
BM
S3
RB
M6
RB
M3
RB
M1
7R
BA
KR
B1
CC
1R
AS
SF
8R
AR
RE
S2
RA
RB
RA
PG
EF
2R
AP
1G
DS
1R
AI2
RA
I14
RA
D5
1B
RA
B5
BR
AB
40
BR
AB
3G
AP
2R
AB
22
AR
AB
21
RA
B1
5R
AB
12
PW
P1
PU
RA
PU
M3
PT
RF
PT
PN
12
PT
P4
A3
PT
NP
TK
2P
TG
R1
PT
GIS
PT
GF
RN
PT
EN
PT
BP
2P
SM
E1
PS
MD
2P
SM
C2
PS
MB
4P
SM
A3
PS
MA
1P
SE
NE
NP
RS
S2
3P
RR
X1
PR
RG
1P
RO
S1
PR
MT
7P
RK
D1
PR
KC
DB
PP
RA
F2
PQ
LC
3P
PP
6C
PP
P4
R3
BP
PP
1R
12
AP
PE
F1
PO
ST
NP
ON
2P
OM
T1
PO
LR
2K
PO
LL
PO
GL
UT
1P
MS
2P
3P
MP
22
PM
EP
A1
PL
XN
D1
PL
XN
C1
PL
XD
C1
PL
SC
R4
PL
S3
PL
PP
1P
LN
PL
IN2
PL
EK
HO
2P
LC
E1
PL
AU
PL
AG
L1
PL
AC
9P
LA
2G
5P
KN
2P
KM
PK
IGP
KD
2P
JA
2P
IP4
K2
CP
INK
1-A
SP
INK
1P
IGV
PIG
CP
HT
F1
PH
LD
B1
PH
AX
PG
M3
PG
BD
1P
FD
N4
PE
LO
PE
LI2
PE
AR
1P
DZ
D1
1P
DS
5B
PD
LIM
3P
DIA
3P
DG
FR
BP
DG
FR
AP
DE
5A
PD
E3
AP
DE
1A
PD
CD
5P
CO
LC
EP
AT
L1
PA
RP
BP
PA
RP
9P
AR
P8
PA
RP
4P
AR
P1
4P
4H
A1
OX
CT
1O
TU
D6
B-A
S1
OS
T4
OS
R2
OS
MR
OS
BP
L9
OR
C4
OR
51
E1
OR
2A
7O
PH
N1
OM
DO
MA
1O
LF
ML
1O
LF
M1
OG
TO
DF
2O
CE
L1
OA
FN
UT
M2
A-A
S1
NU
TF
2N
UP
L2
NU
DT
10
NU
CB
2N
UB
1N
TM
NT
5C
NR
P1
NR
EP
NR
1D
2N
PT
N-IT
1N
OT
CH
3N
OR
AD
NO
C3
LN
NM
TN
MI
NL
GN
4Y
NK
AP
NIP
AL
2N
ID2
NID
1N
FK
BIZ
NF
2N
EIL
2N
DU
FV
3N
DU
FC
2N
DU
FB
10
ND
UF
AF
1N
DU
FA
6N
DU
FA
4L
2N
DU
FA
3N
DU
FA
13
ND
UF
A1
2N
DU
FA
1N
CO
R1
NC
OA
1N
BR
1N
BP
F8
NB
PF
15
NB
NN
BL
1N
BE
AL
1N
AV
1N
AP
1L
3N
AG
KN
AD
KN
AA
20
NA
A1
0N
4B
P2
L2
MY
O1
BM
YO
19
MY
NN
MY
H9
MX
RA
8M
XR
A5
MT
ER
F4
MT
CH
1M
RV
I1M
RP
S1
8C
MR
PS
15
MR
PS
11
MR
PL
51
MR
PL
33
MR
PL
2M
RP
L1
5M
RP
L1
4M
PR
IPM
PP
5M
PD
U1
MP
C1
MO
RN
2M
OR
F4
L1
MO
RC
4M
NS
1M
MP
2M
MP
16
MM
P1
1M
LE
CM
KL
N1
-AS
MIR
99
AH
GM
IR5
04
7M
IR4
43
5-2
HG
MIR
36
52
MIN
CR
MIE
R1
MG
ST
3M
FN
2M
FA
P4
ME
TT
L4
ME
TT
L2
3M
ET
TL
17
ME
TA
P2
ME
ST
ME
SD
C2
ME
F2
CM
ED
4-A
S1
ME
D4
ME
D1
2M
DP
1M
DF
ICM
CU
BM
CM
6M
CF
D2
MC
AM
MB
NL
1M
BD
3M
AP
RE
2M
AP
K1
IP1
LM
AP
4K
4M
AP
4M
AP
1B
MA
P1
AM
AN
1A
1M
AL
SU
1M
AG
T1
MA
GO
HB
MA
GO
HM
AG
I3M
AF
G-A
S1
MA
D2
L1
BP
LY
RM
2L
YP
LA
L1
LY
AR
LX
NL
UM
LT
BP
2L
SM
3L
SG
1L
RR
C5
7L
RR
C3
2L
RR
C1
5L
RP
10
LR
P1
LR
IG2
LR
CH
3L
OX
LO
C4
00
04
3L
OC
28
40
23
LO
C1
43
66
6L
OC
10
53
71
81
4L
OC
10
27
24
55
2L
OC
10
19
29
34
0L
OC
10
19
28
13
7L
OC
10
19
28
09
3L
OC
10
19
27
31
1L
OC
10
05
06
38
8L
OC
10
04
19
17
0L
OC
10
01
31
28
9L
INC
01
42
0L
INC
00
98
9L
INC
00
96
3L
IN3
7L
IMS
1L
HF
PL
GA
LS
LL
EP
RO
TL
1L
EP
RO
TL
EP
RL
EN
G1
LB
HL
AM
TO
R3
LA
MT
OR
1L
AM
P5
LA
MP
2L
AM
A4
L3
MB
TL
3K
RB
OX
4K
MT
5A
KM
T2
CK
LF
10
KID
INS
22
0K
IAA
15
51
KIA
A0
04
0K
DE
LR
3K
CT
D2
0K
CT
D1
5K
CN
S3
KA
TN
BL
1K
AT
6A
KA
RS
KA
NK
2J
AK
1J
AG
1IT
PR
IPL
2IT
M2
CIT
M2
BIT
GB
L1
ITG
B5
ITG
B1
BP
1IT
GB
1IT
GA
VIT
GA
EIT
GA
1IT
FG
2IS
LR
IRF
7IR
F2
BP
2IN
TU
INT
S1
0IN
PP
4B
INH
BA
IL3
2IL
1R
1IG
FB
P7
IGF
BP
5IG
FB
P4
IGF
BP
3IG
F1
IGD
CC
4IF
T5
2IF
T2
7IF
NG
R1
IFIT
M3
IFIT
M1
IFI1
6ID
SID
H3
AID
3H
YP
KH
UW
E1
HT
RA
3H
SP
H1
HS
PB
AP
1H
SP
B1
HS
D1
7B
7H
SD
17
B1
1H
SD
17
B1
0H
PR
T1
HP
F1
HO
TA
IRH
OP
XH
OO
K3
HN
RN
PU
HN
RN
PR
HN
RN
PH
2H
NR
NP
A0
HM
CN
1H
LT
F-A
S1
HIV
EP
3H
IPK
1H
INT
2H
IGD
1B
HG
SN
AT
HE
YL
HE
G1
HD
GF
RP
3H
DD
C2
HD
AC
9H
DA
C8
HC
FC
2H
CF
C1
R1
HA
RS
HA
AO
GX
YL
T1
GU
SB
GU
CY
1B
3G
UC
Y1
A3
GU
CD
1G
TF
2H
5G
TF
2E
1G
TF
2B
GS
TM
3G
ST
A4
GS
NG
RP
GP
X8
GP
X4
GP
R6
8G
PR
17
6G
PC
1G
OL
IM4
GN
G1
2G
NG
11
GN
A1
2G
LU
D1
GL
T8
D2
GL
IPR
2G
LG
1G
JC
1G
INM
1G
GT
5G
GN
BP
2G
BP
1G
AL
3S
T4
G3
BP
2F
XY
D6
FU
T8
FT
OF
ST
L1
FR
ZB
FR
Y-A
S1
FR
YF
RM
D6
FR
KF
N1
FM
OD
FM
O3
FL
RT
2F
LJ
20
02
1F
KB
P9
P1
FK
BP
9F
KB
P7
FK
BP
11
FIS
1F
ILIP
1L
FIB
INF
HL
1F
GF
R1
OP
2F
GD
5-A
S1
FC
GR
TF
BX
O7
FB
XO
42
FB
XL
5F
BN
1F
BL
N5
FB
LN
1F
AT
4F
AS
FA
PF
AN
CG
FA
M8
A1
FA
M2
29
BF
AM
20
CF
AM
20
8A
FA
M2
00
BF
AM
19
9X
FA
M1
98
BF
AM
17
9B
FA
M1
68
AF
AM
13
CF
AM
11
4A
1F
AM
11
1A
FA
M1
10
BF
AH
FA
BP
5E
XT
1E
XO
SC
9E
XO
SC
8E
TV
1E
TN
K1
ES
AM
ER
VK
3-1
ER
O1
BE
RL
IN2
ER
HE
RG
IC2
ER
AP
2E
PS
8E
PR
SE
PB
41
L2
EP
AS
1E
MP
2E
ML
4E
MC
10
EL
OV
L5
EL
OB
EL
K4
EL
F1
EIF
5B
EIF
5A
2E
IF4
G3
EIF
4E
EIF
3I
EIF
3E
EIF
2S
3E
IF2
S1
EIF
2B
3E
HD
2E
GL
N3
EF
TU
D2
EF
EM
P2
EE
PD
1E
EA
1E
DN
RA
ED
EM
1E
CM
2E
BL
N3
PE
BF
1D
YN
LL
1D
YN
C1
LI1
DT
X4
DS
TD
SE
LD
PY
SL
3D
PY
SL
2D
PY
DD
OP
EY
1D
OC
K5
DO
CK
1D
NA
SE
1L
1D
NA
JC
15
DN
AJ
C1
3D
NA
JB
4D
NA
JB
11
DL
GA
P1
-AS
1D
LD
DL
C1
DIS
3D
IO2
DID
O1
DIA
PH
2D
HR
S4
DE
GS
1D
EF
8D
DX
3Y
DD
X3
9A
DD
R2
DD
B2
DC
ND
CB
LD
2D
CA
F5
DB
ND
D2
DA
D1
CY
TO
RC
YR
61
CY
P5
1A
1C
YB
RD
1C
XC
L1
2C
TS
KC
TP
S2
CT
HR
C1
CT
DS
P1
CT
CF
CS
TF
1C
SP
P1
CR
Y2
CR
TA
PC
RIS
PL
D2
CR
IPT
CR
IP2
CR
IP1
CP
EC
OX
4I1
CO
X1
7C
OP
Z2
CO
PS
8C
OP
S5
CO
MT
CO
L8
A1
CO
L6
A3
CO
L6
A2
CO
L6
A1
CO
L5
A2
CO
L5
A1
CO
L4
A1
CO
L3
A1
CO
L1
A2
CO
L1
A1
CO
L1
8A
1C
OL
14
A1
CO
L1
2A
1C
OL
11
A1
CO
L1
0A
1C
OG
3C
OA
1C
NR
IP1
CN
PC
NN
3C
NIH
4C
NE
P1
R1
CM
TR
2C
MT
M3
CM
AH
PC
LE
C2
BC
LC
N5
CL
CN
3C
IR1
CH
UR
C1
CH
ST
3C
HO
RD
C1
CH
CH
D2
CF
HR
1C
FH
CE
P1
12
CE
NP
CC
DK
L1
CD
K5
CD
K3
CD
K1
4C
DH
6C
DH
13
CD
H1
1C
DC
5L
CD
C4
2B
PA
CD
C3
7L
1C
DC
26
CD
99
CD
63
CD
30
2C
D2
48
CD
16
0C
D1
09
CC
Z1
BC
CZ
1C
CN
IC
CM
2C
CD
C8
2C
CD
C8
0C
CD
C5
1C
CD
C2
5C
CD
C1
74
CB
X6
CB
WD
6C
BW
D3
CA
V2
CA
V1
CA
SC
4C
AP
ZB
CA
PN
2C
AP
1C
AM
K2
N1
CA
MK
1D
CA
LU
CA
LR
CA
LD
1C
AD
M1
C8
orf4
4C
7o
rf26
C6
orf8
9C
6o
rf10
6C
4o
rf3C
3o
rf80
C3
orf7
0C
3o
rf38
C3
orf1
4C
20
orf2
7C
1S
C1
RC
1Q
TN
F5
C1
5o
rf39
C1
2o
rf10
C1
0o
rf10
BT
N3
A2
BT
N2
A1
BR
OX
BR
K1
BM
P8
AB
LO
C1
S6
BIC
C1
BG
NB
EX
3B
ET
1L
BC
AP
29
BA
NF
1B
4G
AL
T3
B4
GA
LT
1A
XL
AT
RA
IDA
TP
6V
1C
1A
TP
5J
AT
P5
F1
AT
P5
C1
AT
OX
1A
TL
3A
TL
1A
TG
10
AT
F6
AT
F2
AS
PN
AS
H2
LA
RP
C4
AR
MC
X3
AR
L2
AR
L1
AR
ID5
BA
RH
GA
P5
AR
HG
AP
32
AR
HG
AP
29
AR
HG
AP
28
AR
HG
AP
17
AR
HG
AP
1A
RF
GE
F1
AR
F6
AR
F5
AP
PL
2A
PO
L2
AP
OL
1A
PO
DA
PC
DD
1A
P3
B1
AN
XA
7A
NX
A5
AN
XA
4A
NX
A1
1A
NT
XR
2A
NT
XR
1A
NO
1A
NK
RD
10
AN
KH
AN
GP
TL
1A
NG
PT
2A
NA
PC
10
AM
PD
2A
LK
BH
5A
LG
13
AL
DH
1L
2A
LD
H1
A3
AL
DH
1A
1A
JU
BA
AID
AA
HN
AK
AG
PA
T5
AE
BP
1A
DIR
FA
DG
RF
5A
DC
Y3
AD
AM
TS
L3
AD
AM
TS
4A
DA
M9
AD
AM
19
AD
AA
CV
R1
BA
CT
N1
AC
LY
AC
AD
11
AB
HD
18
AB
HD
10
AB
CC
9A
BC
A9
AB
CA
6A
2M
A1
BG
43
35
44
33
53
43
35
04
33
47
43
16
5Y
AP
1W
DR
6W
BP
1V
ITV
CA
NU
SP
34
TU
FM
TT
C1
9T
ST
D1
TR
IM2
TM
4S
F1
TG
FB
R3
TF
AP
2C
TC
F7
L1
TC
ER
G1
TB
X3
SR
PK
2S
OX
11
SO
RB
S2
SN
X2
2S
NR
NP
40
SN
HG
3S
NH
G2
5S
MIM
4S
MA
D5
SM
A4
SIK
1S
HC
4S
FR
P1
SE
TD
5S
ER
PIN
A3
SC
UB
E3
SC
RG
1S
CN
N1
GS
CH
IP1
SA
A2
SA
A1
RT
F1
RS
F1
RP
S2
1R
PL
7A
RP
L1
1R
PA
INR
NP
S1
RB
PM
SR
AR
SP
YG
BP
UM
1P
TP
RF
PR
KY
PR
KC
IP
RE
LP
PP
M1
KP
NIS
RP
IK3
R3
PIK
3R
1P
HK
G1
PG
AP
1P
ER
2P
EG
3-A
S1
PE
G3
PD
E9
AP
CM
TD
1P
AR
D6
BP
AR
D3
PA
PS
S1
PA
DI2
OB
P2
BO
BP
2A
NU
DT
5N
RP
2N
PIP
B5
NP
IPB
4N
PIP
B3
NP
IPB
13
NP
IPB
11
NIP
AL
3N
FIB
ND
UF
A7
NA
V2
MZ
T2
AM
YC
MT
HF
D2
MT
2A
MP
ZL
1M
LX
IPM
IAM
GS
T1
ME
IS1
MB
NL
2M
AR
CK
SL
1M
AL
AT
1M
AE
AM
AB
21
L3
LIN
C0
12
96
KR
T8
KR
T5
KR
T2
3K
RT
19
KR
T1
8K
RT
15
KR
T1
4K
LF
5K
DS
RK
AN
K4
JU
PIT
GB
4IT
GA
6IS
G2
0L
2IR
F6
IGF
2IG
F1
RH
P1
BP
3H
19
GT
F2
IP1
GR
HL
1G
PA
TC
H8
GO
LP
H3
GA
S5
GA
BR
PF
ZD
7F
XY
D3
FR
MD
4A
FL
NB
FG
FR
2F
GF
R1
FB
XO
32
FB
LF
AT
1F
AM
60
AF
AB
P7
ES
RP
1E
RR
FI1
EP
CA
ME
HF
EG
FR
EF
NA
1D
SP
DS
G2
DS
C3
DS
C2
CX
AD
RC
TB
P2
CS
TF
3C
RIM
1C
RA
BP
2C
OL
9A
2C
OL
9A
1C
OL
27
A1
CM
YA
5C
LD
N4
CD
K6
CD
H1
CD
24
CC
NT
2C
CN
L2
CA
PN
12
C2
1o
rf91
BO
CB
CL
11
AB
AM
BI
AT
P5
A1
AT
F4
AR
T3
AR
ID1
AA
QP
1A
PP
AN
XA
3A
NK
RD
36
AK
AP
9A
DN
PA
CT
G2
04
81
2
Va
lue
0 60000
Co
lor K
ey
an
d H
isto
gra
m
Count
Tumor_C02Tumor_C05Tumor_C06Tumor_C07Tumor_C08Tumor_C14Tumor_C15Tumor_C16Tumor_C20Tumor_C22Tumor_C23Tumor_C24Tumor_C27Tumor_C28Tumor_C32Tumor_C33Tumor_C37Tumor_C38Tumor_C40Tumor_C43Tumor_C49Tumor_C50Tumor_C51Tumor_C57Tumor_C58Tumor_C60Tumor_C62Tumor_C63Tumor_C66Tumor_C68Tumor_C70Tumor_C71Tumor_C72Tumor_C73Tumor_C74Tumor_C76Tumor_C77Tumor_C79Tumor_C81Tumor_C82Tumor_C84Tumor_C85Tumor_C86Tumor_C87Tumor_C88Tumor_C89Tumor_C90Tumor_C92Tumor_C93Tumor_C94Tumor_C95Tumor_C01Tumor_C04Tumor_C26Tumor_C41Tumor_C42Tumor_C53Tumor_C69Tumor_C10Tumor_C12Tumor_C19Tumor_C34Tumor_C75Tumor_C91
Tum
or_
C91
Tum
or_
C75
Tum
or_
C34
Tum
or_
C19
Tum
or_
C12
Tum
or_
C10
Tum
or_
C69
Tum
or_
C53
Tum
or_
C42
Tum
or_
C41
Tum
or_
C26
Tum
or_
C04
Tum
or_
C01
Tum
or_
C95
Tum
or_
C94
Tum
or_
C93
Tum
or_
C92
Tum
or_
C90
Tum
or_
C89
Tum
or_
C88
Tum
or_
C87
Tum
or_
C86
Tum
or_
C85
Tum
or_
C84
Tum
or_
C82
Tum
or_
C81
Tum
or_
C79
Tum
or_
C77
Tum
or_
C76
Tum
or_
C74
Tum
or_
C73
Tum
or_
C72
Tum
or_
C71
Tum
or_
C70
Tum
or_
C68
Tum
or_
C66
Tum
or_
C63
Tum
or_
C62
Tum
or_
C60
Tum
or_
C58
Tum
or_
C57
Tum
or_
C51
Tum
or_
C50
Tum
or_
C49
Tum
or_
C43
Tum
or_
C40
Tum
or_
C38
Tum
or_
C37
Tum
or_
C33
Tum
or_
C32
Tum
or_
C28
Tum
or_
C27
Tum
or_
C24
Tum
or_
C23
Tum
or_
C22
Tum
or_
C20
Tum
or_
C16
Tum
or_
C15
Tum
or_
C14
Tum
or_
C08
Tum
or_
C07
Tum
or_
C06
Tum
or_
C05
Tum
or_
C02
0.2
0.6
1
Va
lue
0 200
Co
lor K
ey
an
d H
isto
gra
m
Count
Tum
or_
C02
Tum
or_
C05
Tum
or_
C06
Tum
or_
C07
Tum
or_
C08
Tum
or_
C14
Tum
or_
C15
Tum
or_
C16
Tum
or_
C20
Tum
or_
C22
Tum
or_
C23
Tum
or_
C24
Tum
or_
C27
Tum
or_
C28
Tum
or_
C32
Tum
or_
C33
Tum
or_
C37
Tum
or_
C38
Tum
or_
C40
Tum
or_
C43
Tum
or_
C49
Tum
or_
C50
Tum
or_
C51
Tum
or_
C57
Tum
or_
C58
Tum
or_
C60
Tum
or_
C62
Tum
or_
C63
Tum
or_
C66
Tum
or_
C68
Tum
or_
C70
Tum
or_
C71
Tum
or_
C72
Tum
or_
C73
Tum
or_
C74
Tum
or_
C76
Tum
or_
C77
Tum
or_
C79
Tum
or_
C81
Tum
or_
C82
Tum
or_
C84
Tum
or_
C85
Tum
or_
C86
Tum
or_
C87
Tum
or_
C88
Tum
or_
C89
Tum
or_
C90
Tum
or_
C92
Tum
or_
C93
Tum
or_
C94
Tum
or_
C95
Tum
or_
C01
Tum
or_
C04
Tum
or_
C26
Tum
or_
C41
Tum
or_
C42
Tum
or_
C53
Tum
or_
C69
Tum
or_
C10
Tum
or_
C12
Tum
or_
C19
Tum
or_
C34
Tum
or_
C75
Tum
or_
C91
Tumor_C91Tumor_C75Tumor_C34Tumor_C19Tumor_C12Tumor_C10Tumor_C69Tumor_C53Tumor_C42Tumor_C41Tumor_C26Tumor_C04Tumor_C01Tumor_C95Tumor_C94Tumor_C93Tumor_C92Tumor_C90Tumor_C89Tumor_C88Tumor_C87Tumor_C86Tumor_C85Tumor_C84Tumor_C82Tumor_C81Tumor_C79Tumor_C77Tumor_C76Tumor_C74Tumor_C73Tumor_C72Tumor_C71Tumor_C70Tumor_C68Tumor_C66Tumor_C63Tumor_C62Tumor_C60Tumor_C58Tumor_C57Tumor_C51Tumor_C50Tumor_C49Tumor_C43Tumor_C40Tumor_C38Tumor_C37Tumor_C33Tumor_C32Tumor_C28Tumor_C27Tumor_C24Tumor_C23Tumor_C22Tumor_C20Tumor_C16Tumor_C15Tumor_C14Tumor_C08Tumor_C07Tumor_C06Tumor_C05Tumor_C02
0.2 0.6 1
Value
02
00
Color Key
and Histogram
Count
Tum
or_
C02
Tum
or_
C05
Tum
or_
C06
Tum
or_
C07
Tum
or_
C08
Tum
or_
C14
Tum
or_
C15
Tum
or_
C16
Tum
or_
C20
Tum
or_
C22
Tum
or_
C23
Tum
or_
C24
Tum
or_
C27
Tum
or_
C28
Tum
or_
C32
Tum
or_
C33
Tum
or_
C37
Tum
or_
C38
Tum
or_
C40
Tum
or_
C43
Tum
or_
C49
Tum
or_
C50
Tum
or_
C51
Tum
or_
C57
Tum
or_
C58
Tum
or_
C60
Tum
or_
C62
Tum
or_
C63
Tum
or_
C66
Tum
or_
C68
Tum
or_
C70
Tum
or_
C71
Tum
or_
C72
Tum
or_
C73
Tum
or_
C74
Tum
or_
C76
Tum
or_
C77
Tum
or_
C79
Tum
or_
C81
Tum
or_
C82
Tum
or_
C84
Tum
or_
C85
Tum
or_
C86
Tum
or_
C87
Tum
or_
C88
Tum
or_
C89
Tum
or_
C90
Tum
or_
C92
Tum
or_
C93
Tum
or_
C94
Tum
or_
C95
Tum
or_
C01
Tum
or_
C04
Tum
or_
C26
Tum
or_
C41
Tum
or_
C42
Tum
or_
C53
Tum
or_
C69
Tum
or_
C10
Tum
or_
C12
Tum
or_
C19
Tum
or_
C34
Tum
or_
C75
Tum
or_
C91
Tumor_C20Tumor_C16Tumor_C15Tumor_C14Tumor_C08Tumor_C07Tumor_C06Tumor_C05Tumor_C02
figure margins too large
Cluster_1
Cluster_2
Cluster_3
Tum
or_
C02
Tum
or_
C05
Tum
or_
C06
Tum
or_
C07
Tum
or_
C08
Tum
or_
C14
Tum
or_
C15
Tum
or_
C16
Tum
or_
C20
Tum
or_
C22
Tum
or_
C23
Tum
or_
C24
Tum
or_
C27
Tum
or_
C28
Tum
or_
C32
Tum
or_
C33
Tum
or_
C37
Tum
or_
C38
Tum
or_
C40
Tum
or_
C43
Tum
or_
C49
Tum
or_
C50
Tum
or_
C51
Tum
or_
C57
Tum
or_
C58
Tum
or_
C60
Tum
or_
C62
Tum
or_
C63
Tum
or_
C66
Tum
or_
C68
Tum
or_
C70
Tum
or_
C71
Tum
or_
C72
Tum
or_
C73
Tum
or_
C74
Tum
or_
C76
Tum
or_
C77
Tum
or_
C79
Tum
or_
C81
Tum
or_
C82
Tum
or_
C84
Tum
or_
C85
Tum
or_
C86
Tum
or_
C87
Tum
or_
C88
Tum
or_
C89
Tum
or_
C90
Tum
or_
C92
Tum
or_
C93
Tum
or_
C94
Tum
or_
C95
Tum
or_
C01
Tum
or_
C04
Tum
or_
C26
Tum
or_
C41
Tum
or_
C42
Tum
or_
C53
Tum
or_
C69
Tum
or_
C10
Tum
or_
C12
Tum
or_
C19
Tum
or_
C34
Tum
or_
C75
Tum
or_
C91
Tumor_C20Tumor_C16Tumor_C15Tumor_C14Tumor_C08Tumor_C07Tumor_C06Tumor_C05Tumor_C02
figure margins too large
Cluster_1
Cluster_2
Cluster_3
Tum
or_
C02
Tum
or_
C05
Tum
or_
C06
Tum
or_
C07
Tum
or_
C08
Tum
or_
C14
Tum
or_
C15
Tum
or_
C16
Tum
or_
C20
Tum
or_
C22
Tum
or_
C23
Tum
or_
C24
Tum
or_
C27
Tum
or_
C28
Tum
or_
C32
Tum
or_
C33
Tum
or_
C37
Tum
or_
C38
Tum
or_
C40
Tum
or_
C43
Tum
or_
C49
Tum
or_
C50
Tum
or_
C51
Tum
or_
C57
Tum
or_
C58
Tum
or_
C60
Tum
or_
C62
Tum
or_
C63
Tum
or_
C66
Tum
or_
C68
Tum
or_
C70
Tum
or_
C71
Tum
or_
C72
Tum
or_
C73
Tum
or_
C74
Tum
or_
C76
Tum
or_
C77
Tum
or_
C79
Tum
or_
C81
Tum
or_
C82
Tum
or_
C84
Tum
or_
C85
Tum
or_
C86
Tum
or_
C87
Tum
or_
C88
Tum
or_
C89
Tum
or_
C90
Tum
or_
C92
Tum
or_
C93
Tum
or_
C94
Tum
or_
C95
Tum
or_
C01
Tum
or_
C04
Tum
or_
C26
Tum
or_
C41
Tum
or_
C42
Tum
or_
C53
Tum
or_
C69
Tum
or_
C10
Tum
or_
C12
Tum
or_
C19
Tum
or_
C34
Tum
or_
C75
Tum
or_
C91
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
0 4 8 12
Value
04
00
00
Color Key
and Histogram
Count
A
B D
C
Fig 3
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
Tumor_C02Tumor_C05Tumor_C06Tumor_C07Tumor_C08Tumor_C14Tumor_C15Tumor_C16Tumor_C20Tumor_C22Tumor_C23Tumor_C24Tumor_C27Tumor_C28Tumor_C32Tumor_C33Tumor_C37Tumor_C38Tumor_C40Tumor_C43Tumor_C49Tumor_C50Tumor_C51Tumor_C57Tumor_C58Tumor_C60Tumor_C62Tumor_C63Tumor_C66Tumor_C68Tumor_C70Tumor_C71Tumor_C72Tumor_C73Tumor_C74Tumor_C76Tumor_C77Tumor_C79Tumor_C81Tumor_C82Tumor_C84Tumor_C85Tumor_C86Tumor_C87Tumor_C88Tumor_C89Tumor_C90Tumor_C92Tumor_C93Tumor_C94Tumor_C95Tumor_C01Tumor_C04Tumor_C26Tumor_C41Tumor_C42Tumor_C53Tumor_C69Tumor_C10Tumor_C12Tumor_C19Tumor_C34Tumor_C75Tumor_C91
PIK3CG
TLR4
NCF2
FCGR3A
IGSF6
GPR34
FCGR2C
TYROBP
MSR1
FCGR2A
HLA-DRB5
CXCL8
LAPTM5
RGS1
SLCO2B1
HCLS1
C1QA
CD14
MNDA
MS4A7
ECM2
CYTOR
TFPI
PDGFRB
COL6A1
ID3
PCOLCE
C3orf70
COL14A1
BGN
DLC1
TIMP1
ASPN
COL3A1
SULF1
COL1A1
SLIT2
COL1A2
THY1
COL6A3
DSC3
KRT23
ACTG2
FGFR2
MIA
FAM60A
MALAT1
APP
CD24
PDE9A
DSP
TRIM2
AQP1
NFIB
EPCAM
CDH1
KRT14
BAMBI
KRT5
IGF2
0
2
4
6
8
10
12
Value
010002000
Color Key
and Histogram
Count
Tum
or_
C02
Tum
or_
C05
Tum
or_
C06
Tum
or_
C07
Tum
or_
C08
Tum
or_
C14
Tum
or_
C15
Tum
or_
C16
Tum
or_
C20
Tum
or_
C22
Tum
or_
C23
Tum
or_
C24
Tum
or_
C27
Tum
or_
C28
Tum
or_
C32
Tum
or_
C33
Tum
or_
C37
Tum
or_
C38
Tum
or_
C40
Tum
or_
C43
Tum
or_
C49
Tum
or_
C50
Tum
or_
C51
Tum
or_
C57
Tum
or_
C58
Tum
or_
C60
Tum
or_
C62
Tum
or_
C63
Tum
or_
C66
Tum
or_
C68
Tum
or_
C70
Tum
or_
C71
Tum
or_
C72
Tum
or_
C73
Tum
or_
C74
Tum
or_
C76
Tum
or_
C77
Tum
or_
C79
Tum
or_
C81
Tum
or_
C82
Tum
or_
C84
Tum
or_
C85
Tum
or_
C86
Tum
or_
C87
Tum
or_
C88
Tum
or_
C89
Tum
or_
C90
Tum
or_
C92
Tum
or_
C93
Tum
or_
C94
Tum
or_
C95
Tum
or_
C01
Tum
or_
C04
Tum
or_
C26
Tum
or_
C41
Tum
or_
C42
Tum
or_
C53
Tum
or_
C69
Tum
or_
C10
Tum
or_
C12
Tum
or_
C19
Tum
or_
C34
Tum
or_
C75
Tum
or_
C91
PIK3CGTLR4NCF2FCGR3AIGSF6GPR34FCGR2CTYROBPMSR1FCGR2AHLA-DRB5CXCL8LAPTM5RGS1SLCO2B1HCLS1C1QACD14MNDAMS4A7ECM2CYTORTFPIPDGFRBCOL6A1ID3PCOLCEC3orf70COL14A1BGNDLC1TIMP1ASPNCOL3A1SULF1COL1A1SLIT2COL1A2THY1COL6A3DSC3KRT23ACTG2FGFR2MIAFAM60AMALAT1APPCD24PDE9ADSPTRIM2AQP1NFIBEPCAMCDH1KRT14BAMBIKRT5IGF2
0 2 4 6 8 10 12
Value
01
00
02
00
0
Color Key
and HistogramC
ount
Tum
or_
C02
Tum
or_
C05
Tum
or_
C06
Tum
or_
C07
Tum
or_
C08
Tum
or_
C14
Tum
or_
C15
Tum
or_
C16
Tum
or_
C20
Tum
or_
C22
Tum
or_
C23
Tum
or_
C24
Tum
or_
C27
Tum
or_
C28
Tum
or_
C32
Tum
or_
C33
Tum
or_
C37
Tum
or_
C38
Tum
or_
C40
Tum
or_
C43
Tum
or_
C49
Tum
or_
C50
Tum
or_
C51
Tum
or_
C57
Tum
or_
C58
Tum
or_
C60
Tum
or_
C62
Tum
or_
C63
Tum
or_
C66
Tum
or_
C68
Tum
or_
C70
Tum
or_
C71
Tum
or_
C72
Tum
or_
C73
Tum
or_
C74
Tum
or_
C76
Tum
or_
C77
Tum
or_
C79
Tum
or_
C81
Tum
or_
C82
Tum
or_
C84
Tum
or_
C85
Tum
or_
C86
Tum
or_
C87
Tum
or_
C88
Tum
or_
C89
Tum
or_
C90
Tum
or_
C92
Tum
or_
C93
Tum
or_
C94
Tum
or_
C95
Tum
or_
C01
Tum
or_
C04
Tum
or_
C26
Tum
or_
C41
Tum
or_
C42
Tum
or_
C53
Tum
or_
C69
Tum
or_
C10
Tum
or_
C12
Tum
or_
C19
Tum
or_
C34
Tum
or_
C75
Tum
or_
C91
Tumor_C20Tumor_C16Tumor_C15Tumor_C14Tumor_C08Tumor_C07Tumor_C06Tumor_C05Tumor_C02
figure margins too large
Cluster_1
Cluster_2
Cluster_3
Ex
pre
ss
ion
(lo
g2
)
0
2
4
6
8
1 0
Ex
pre
ss
ion
(lo
g2
)
0
2
4
6
8
1 0
Ex
pre
ss
ion
(lo
g2
)
0
2
4
6
8
1 0
Ex
pre
ss
ion
(lo
g2
)
0
2
4
6
8
1 0
Ex
pre
ss
ion
(lo
g2
)
0
5
1 0
1 5
Ex
pre
ss
ion
(lo
g2
)
0
5
1 0
1 5
Ex
pre
ss
ion
(lo
g2
)
0
2
4
6
8
1 0
Ex
pre
ss
ion
(lo
g2
)
0
2
4
6
8
Ex
pre
ss
ion
(lo
g2
)
0
2
4
6
8
1 0
1 2
Ex
pre
ss
ion
(lo
g2
)
0
2
4
6
8
1 0
Ex
pre
ss
ion
(lo
g2
)
0
2
4
6
8
1 0
Ex
pre
ss
ion
(lo
g2
)
0
2
4
6
8
1 0
CK14
100× 200×
-30
0
30
-25 0 25 50
tsne1
tsne2
labels
Cluster_1
Cluster_2
Cluster_3
-30
0
30
-25 0 25 50
tsne1
tsne2
labels
Cluster_1
Cluster_2
Cluster_3
Cluster_1
Cluster_2
Cluster_3
A
B D
C
KRT5 KRT14 KRT23
EPCAM CDH1 CD24
COL1A2 THY1 BGN
CD14 CXCL8 MNDA
Fig 4
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint
NF
IBIG
F2
PD
E9A
MA
LA
T1
AC
TG
2C
D24
EP
CA
MB
AM
BI
TR
IM2
MIA
CD
H1
KR
T23
KR
T14
FA
M60A
KR
T5
DS
C3
AQ
P1
AP
PD
SP
FG
FR
2
NFIBIGF2PDE9AMALAT1ACTG2CD24EPCAMBAMBITRIM2MIACDH1KRT23KRT14FAM60AKRT5DSC3AQP1APPDSPFGFR2
-1 0 1
Value
03
0
Color Key
and Histogram
Count
MA
LA
T1
PD
E9A
NF
IBF
AM
60A
DS
P
TR
IM2
EP
CA
MC
DH
1B
AM
BI
MIA
AP
PA
QP
1IG
F2
AC
TG
2F
GF
R2
KR
T23
DS
C3
KR
T14
KR
T5
MALAT1
PDE9ANFIB
FAM60ADSP
TRIM2EPCAM
CDH1BAMBIMIA
APPAQP1
IGF2ACTG2
FGFR2KRT23DSC3
KRT14KRT5
-1 0 1
Value
04
0
Color Key
and Histogram
Count
A
B
C
Cluster_1
Cluster_2
Cluster_3
CTC-candidate
CTC-confirmed
Primary tumor
PCa cell line
White blood cell
Tu
mo
r_C
02
Tu
mo
r_C
05
Tu
mo
r_C
06
Tu
mo
r_C
07
Tu
mo
r_C
08
Tu
mo
r_C
14
Tu
mo
r_C
15
Tu
mo
r_C
16
Tu
mo
r_C
20
Tu
mo
r_C
22
Tu
mo
r_C
23
Tu
mo
r_C
24
Tu
mo
r_C
27
Tu
mo
r_C
28
Tu
mo
r_C
32
Tu
mo
r_C
33
Tu
mo
r_C
37
Tu
mo
r_C
38
Tu
mo
r_C
40
Tu
mo
r_C
43
Tu
mo
r_C
49
Tu
mo
r_C
50
Tu
mo
r_C
51
Tu
mo
r_C
57
Tu
mo
r_C
58
Tu
mo
r_C
60
Tu
mo
r_C
62
Tu
mo
r_C
63
Tu
mo
r_C
66
Tu
mo
r_C
68
Tu
mo
r_C
70
Tu
mo
r_C
71
Tu
mo
r_C
72
Tu
mo
r_C
73
Tu
mo
r_C
74
Tu
mo
r_C
76
Tu
mo
r_C
77
Tu
mo
r_C
79
Tu
mo
r_C
81
Tu
mo
r_C
82
Tu
mo
r_C
84
Tu
mo
r_C
85
Tu
mo
r_C
86
Tu
mo
r_C
87
Tu
mo
r_C
88
Tu
mo
r_C
89
Tu
mo
r_C
90
Tu
mo
r_C
92
Tu
mo
r_C
93
Tu
mo
r_C
94
Tu
mo
r_C
95
Tu
mo
r_C
01
Tu
mo
r_C
04
Tu
mo
r_C
26
Tu
mo
r_C
41
Tu
mo
r_C
42
Tu
mo
r_C
53
Tu
mo
r_C
69
Tu
mo
r_C
10
Tu
mo
r_C
12
Tu
mo
r_C
19
Tu
mo
r_C
34
Tu
mo
r_C
75
Tu
mo
r_C
91
Pr1
0.1
.2P
r10
.1.3
Pr1
0.2
.1P
r11
.1.2
Pr1
1.2
.1P
r11
.2.3
Pr1
2.1
.1P
r12
.1.2
Pr1
3.1
.1P
r13
.1.2
Pr1
4.3
.2P
r14
.3.3
Pr1
5.1
.2P
r16
.1.1
Pr1
6.1
.2P
r16
.1.3
Pr1
6.1
.4P
r16
.1.6
Pr1
8.1
.2P
r18
.1.3
Pr1
8.1
.9P
r18
.2.4
Pr2
0.1
.2P
r22
.1.1
Pr2
2.1
.3P
r9.1
.5P
r9.1
.7P
r9.2
.1P
r9.2
.2P
r9.3
.2P
r9.3
.3P
r9.3
.4P
r9.3
.5P
r1.1
.1P
r2.1
.1P
r2.1
.2P
r3.1
.2P
r4.1
.1P
r4.1
.2P
r5.1
.1P
r5.1
.2P
r5.1
.3P
r6.1
.3P
r6.1
.4P
r8.1
.2P
r10
.2.2
Pr1
1.1
.1P
r11
.2.2
Pr1
1.3
.1P
r11
.3.2
Pr1
1.3
.3P
r11
.4.1
Pr1
1.4
.2P
r11
.4.3
Pr1
1.4
.4P
r11
.4.5
Pr1
1.4
.6P
r14
.1.1
Pr1
4.2
.1P
r14
.2.2
Pr1
4.2
.3P
r14
.2.4
Pr1
4.2
.5P
r14
.2.6
Pr1
4.3
.1P
r14
.3.4
Pr1
4.3
.5P
r14
.3.6
Pr1
5.1
.1P
r17
.1.1
Pr1
7.1
.2P
r17
.2.1
Pr1
7.2
.2P
r9.1
.1P
r9.1
.2P
r9.1
.3P
r9.1
.4P
r9.1
.6P
r9.3
.1P
r9.3
.6P
r9.3
.7P
r9.3
.8P
r18
.1.1
Pr1
8.1
.4P
r18
.1.5
Pr1
8.1
.6P
r18
.1.7
Pr1
8.1
.8P
r18
.2.1
Pr1
8.2
.2P
r18
.2.3
Pr1
9.1
.2P
r19
.1.3
Pr1
9.1
.4P
r19
.1.5
Pr2
0.1
.1P
r21
.1.1
Pr2
1.1
.10
Pr2
1.1
.11
Pr2
1.1
.12
Pr2
1.1
.2P
r21
.1.3
Pr2
1.1
.4P
r21
.1.5
Pr2
1.1
.6P
r21
.1.7
Pr2
1.1
.8P
r21
.1.9
Pr2
2.1
.10
Pr2
2.1
.11
Pr2
2.1
.12
Pr2
2.1
.2P
r22
.1.4
Pr2
2.1
.5P
r22
.1.6
Pr2
2.1
.7P
r22
.1.8
Pr2
2.1
.9P
r3.1
.1P
r6.1
.1P
r6.1
.2P
r6.1
.5P
riT
um
1P
riT
um
2P
riT
um
3P
riT
um
4P
riT
um
10
Pri
Tu
m1
1P
riT
um
12
Pri
Tu
m5
Pri
Tu
m6
Pri
Tu
m7
Pri
Tu
m8
Pri
Tu
m9
DU
14
5.1
DU
14
5.2
DU
14
5.3
DU
14
5.4
DU
14
5.5
LN
Ca
P.1
LN
Ca
P.2
LN
Ca
P.3
LN
Ca
P.4
LN
Ca
P.5
LN
Ca
P.D
.1L
NC
aP
.D.2
LN
Ca
P.D
.3L
NC
aP
.D.4
LN
Ca
P.D
.5L
NC
aP
.R.1
LN
Ca
P.R
.2L
NC
aP
.R.3
LN
Ca
P.R
.4L
NC
aP
.R.5
PC
3.1
PC
3.2
PC
3.3
PC
3.4
PC
3.5
VC
aP
.1V
Ca
P.2
VC
aP
.3V
Ca
P.4
VC
aP
.5P
r23
.1.w
1P
r23
.1.w
2H
D1
.1.w
1H
D1
.1.w
2H
D1
.1.w
3
AQP1
NFIB
EPCAM
CDH1
KRT14
BAMBI
KRT5
IGF2
0 1 2 3
Value
0
Color Key
and Histogram
Count
SC
_90
57
SC
_90
22
MO
_1
07
1T
P_2
03
4S
C_
90
62
SC
_90
01
MO
_1
09
4X
6115237
MO
_1
11
8M
O_1
21
5T
P_2
06
1X
6115242
SC
_90
38
MO
_1
05
4S
C_
90
12
MO
_1
02
0S
C_
90
31
X6115122
SC
_90
07
TP
_2
00
9S
C_
90
37
SC
_90
60
SC
_90
48
SC
_90
17
SC
_90
94
MO
_1
17
9S
C_
90
34
TP
_2
02
0S
C_
90
71
MO
_1
33
6S
C_
90
46
MO
_1
24
9S
C_
90
43
SC
_90
23
SC
_90
49
SC
_90
61
X1115183
SC
_90
86
MO
_1
22
1M
O_1
23
2X
6115118
X1115202
X1115153
SC
_90
19
MO
_1
16
1M
O_1
08
4M
O_1
21
9S
C_
90
08
X6115227
SC
_90
92
MO
_1
19
2M
O_1
12
8X
1115157
SC
_90
80
TP
_2
03
2S
C_
90
58
X6115234
SC
_90
81
TP
_2
06
4X
1115161
SC
_90
28
MO
_1
33
9M
O_1
33
7M
O_1
11
4X
1115156
MO
_1
27
7S
C_
90
55
MO
_1
26
2M
O_1
31
6M
O_1
17
6M
O_1
18
4M
O_1
20
2X
1115244
SC
_90
93
SC
_90
83
X6115117
TP
_2
05
4S
C_
90
47
SC
_90
91
X6115115
MO
_1
24
4S
C_
90
30
SC
_90
59
MO
_1
09
5X
6115121
SC
_90
99
X6115114
SC
_90
16
SC
_90
72
SC
_90
29
X6115250
SC
_90
32
SC
_90
97
SC
_90
73
X6115233
SC
_90
63
MO
_1
12
4M
O_1
24
1X
6115224
X1115154
SC
_90
36
X6115251
SC
_90
26
SC
_90
18
X6115247
X6115219
SC
_90
09
TP
_2
00
1S
C_
90
54
TP
_2
01
0S
C_
90
50
X6115123
MO
_1
01
4M
O_1
04
0M
O_1
01
3T
P_2
06
0S
C_
90
10
SC
_90
68
APP
MALAT1
CDH1EPCAM
KRT5
KRT14DSC3
KRT23
FGFR2ACTG2
TRIM2BAMBI
IGF2
MIAAQP1
PDE9A
DSPNFIB
FAM60A
0 2 4 6 8 10
Value
03
00
Color Key
and Histogram
Count
Tum
or_
C02
Tum
or_
C05
Tum
or_
C06
Tum
or_
C07
Tum
or_
C08
Tum
or_
C14
Tum
or_
C15
Tum
or_
C16
Tum
or_
C20
Tum
or_
C22
Tum
or_
C23
Tum
or_
C24
Tum
or_
C27
Tum
or_
C28
Tum
or_
C32
Tum
or_
C33
Tum
or_
C37
Tum
or_
C38
Tum
or_
C40
Tum
or_
C43
Tum
or_
C49
Tum
or_
C50
Tum
or_
C51
Tum
or_
C57
Tum
or_
C58
Tum
or_
C60
Tum
or_
C62
Tum
or_
C63
Tum
or_
C66
Tum
or_
C68
Tum
or_
C70
Tum
or_
C71
Tum
or_
C72
Tum
or_
C73
Tum
or_
C74
Tum
or_
C76
Tum
or_
C77
Tum
or_
C79
Tum
or_
C81
Tum
or_
C82
Tum
or_
C84
Tum
or_
C85
Tum
or_
C86
Tum
or_
C87
Tum
or_
C88
Tum
or_
C89
Tum
or_
C90
Tum
or_
C92
Tum
or_
C93
Tum
or_
C94
Tum
or_
C95
Tum
or_
C01
Tum
or_
C04
Tum
or_
C26
Tum
or_
C41
Tum
or_
C42
Tum
or_
C53
Tum
or_
C69
Tum
or_
C10
Tum
or_
C12
Tum
or_
C19
Tum
or_
C34
Tum
or_
C75
Tum
or_
C91
Tumor_C15
Tumor_C14
Tumor_C08
Tumor_C07
Tumor_C06
Tumor_C05
Tumor_C02
figure margins too large
Benign CD49f Hi
Benign CD49f Lo
Cancer CD49f Hi
Cancer CD49f Lo
BS
2771_C
ancerL
o
BS
2980_B
enig
nLo
BS
2980_C
ancerL
o
BS
2916_C
ancerL
o
BS
3337_C
ancerL
o
BS
3337_B
enig
nLo
BS
2506_B
enig
nLo
BS
2340_B
enig
nLo
BS
2339_B
enig
nLo
BS
2553_C
ancerL
o
BS
2553_C
ancerH
i
BS
2340_B
enig
nH
i
BS
2340_C
ancerH
i
BS
2506_B
enig
nH
i
BS
2339_C
ancerH
i
BS
2339_B
enig
nH
i
BS
2980_B
enig
nH
i
BS
2980_C
ancerH
i
BS
3337_B
enig
nH
i
BS
3337_C
ancerH
i
ACTG2
MIA
AQP1
IGF2
PDE9A
BAMBI
MALAT1
DSP
APP
CD24
CDH1
KRT14
FGFR2
KRT5
DSC3
FAM60A
TRIM2
KRT23
NFIB
EPCAM
0 5 15
Value
04
0
Color Key
and Histogram
Count
Tu
mo
r_C
10
Tu
mo
r_C
75
Tu
mo
r_C
91
Tu
mo
r_C
34
Tu
mo
r_C
19
Pr8
.1.2
Pr9
.1.7
Pr5
.1.3
Pr5
.1.2
Pr5
.1.1
Tu
mo
r_C
12
Tu
mo
r_C
66
Pr3
.1.2
HD
1.1
.w3
Pr1
1.2
.3P
r15
.1.2
HD
1.1
.w2
Pr1
8.1
.3P
r23
.1.w
1P
r14
.3.2
Pr9
.3.4
Pr2
.1.1
Pr1
3.1
.1P
r11
.4.3
HD
1.1
.w1
Pr1
2.1
.2P
r23
.1.w
2P
r16
.1.1
Pr6
.1.4
Pr9
.3.5
Pr1
2.1
.1P
riT
um
7P
riT
um
12
Pri
Tu
m6
Pri
Tu
m5
Tu
mo
r_C
33
Pri
Tu
m1
0P
riT
um
3P
riT
um
4P
riT
um
2P
riT
um
8P
riT
um
1P
riT
um
11
Pri
Tu
m9
Tu
mo
r_C
42
Tu
mo
r_C
04
Tu
mo
r_C
53
Tu
mo
r_C
41
Tu
mo
r_C
01
Tu
mo
r_C
69
Tu
mo
r_C
26
Tu
mo
r_C
43
Tu
mo
r_C
72
Tu
mo
r_C
58
Tu
mo
r_C
49
Tu
mo
r_C
15
Tu
mo
r_C
08
Tu
mo
r_C
79
Tu
mo
r_C
76
Tu
mo
r_C
94
Tu
mo
r_C
14
Tu
mo
r_C
05
Tu
mo
r_C
68
Tu
mo
r_C
37
Tu
mo
r_C
07
Tu
mo
r_C
23
Tu
mo
r_C
71
Tu
mo
r_C
82
Tu
mo
r_C
81
Tu
mo
r_C
28
Tu
mo
r_C
32
Tu
mo
r_C
06
Tu
mo
r_C
38
Tu
mo
r_C
16
Tu
mo
r_C
90
Tu
mo
r_C
73
Tu
mo
r_C
50
Tu
mo
r_C
92
Tu
mo
r_C
89
Tu
mo
r_C
63
Tu
mo
r_C
02
Tu
mo
r_C
60
Tu
mo
r_C
57
Tu
mo
r_C
85
Tu
mo
r_C
77
Tu
mo
r_C
27
Tu
mo
r_C
95
Tu
mo
r_C
22
Tu
mo
r_C
62
Tu
mo
r_C
24
Tu
mo
r_C
20
Tu
mo
r_C
51
Tu
mo
r_C
40
Tu
mo
r_C
84
Tu
mo
r_C
88
Tu
mo
r_C
70
Tu
mo
r_C
93
Tu
mo
r_C
74
Tu
mo
r_C
87
Tu
mo
r_C
86
Pr1
4.1
.1P
r10
.1.3
Pr1
6.1
.3P
r14
.3.4
Pr1
6.1
.2P
r10
.2.1
Pr1
3.1
.2P
r22
.1.1
2P
r18
.1.9
Pr1
0.2
.2P
r22
.1.1
Pr9
.3.3
Pr1
.1.1
Pr4
.1.1
Pr9
.3.6
Pr1
4.3
.5P
r14
.3.3
Pr1
1.1
.2P
r11
.1.1
Pr3
.1.1
Pr1
8.1
.5P
r22
.1.7
Pr1
7.1
.1P
r9.2
.2P
r16
.1.6
Pr1
4.2
.2P
r10
.1.2
Pr1
1.4
.4P
r2.1
.2P
r11
.2.2
Pr1
1.2
.1D
U1
45
.4P
r19
.1.3
Pr1
8.2
.4P
r11
.4.6
Pr1
9.1
.5P
r22
.1.1
0P
r14
.3.1
Pr1
1.4
.2P
r9.1
.6P
r19
.1.4
Pr1
8.1
.6P
r18
.2.3
Pr2
2.1
.9P
r14
.2.4
Pr2
2.1
.11
Pr9
.1.5
Pr2
1.1
.3P
r9.3
.7P
r21
.1.5
Pr2
1.1
.6P
r20
.1.2
Pr1
5.1
.1P
r16
.1.4
Pr2
2.1
.3P
r6.1
.3P
r18
.1.2
Pr9
.2.1
PC
3.5
PC
3.1
PC
3.4
PC
3.3
Pr1
8.2
.1P
r17
.2.2
Pr1
9.1
.2P
r18
.1.1
Pr2
1.1
.4P
r11
.3.1
LN
Ca
P.2
DU
14
5.5
LN
Ca
P.1
LN
Ca
P.R
.4L
NC
aP
.R.1
LN
Ca
P.3
LN
Ca
P.4
LN
Ca
P.5
LN
Ca
P.R
.2L
NC
aP
.D.3
LN
Ca
P.R
.3L
NC
aP
.R.5
LN
Ca
P.D
.1L
NC
aP
.D.2
LN
Ca
P.D
.5L
NC
aP
.D.4
Pr1
1.4
.5P
r18
.2.2
Pr2
1.1
.12
Pr1
4.2
.3P
r18
.1.7
Pr2
2.1
.2P
r14
.3.6
Pr1
4.2
.6P
r14
.2.5
Pr2
1.1
.11
Pr2
1.1
.1P
r21
.1.1
0P
r21
.1.9
Pr1
1.4
.1P
r21
.1.7
Pr2
1.1
.2P
r9.1
.1P
r22
.1.4
Pr9
.3.2
Pr9
.1.2
PC
3.2
DU
14
5.2
Pr9
.1.3
Pr9
.3.1
Pr6
.1.5
Pr2
2.1
.5P
r4.1
.2P
r20
.1.1
DU
14
5.3
DU
14
5.1
VC
aP
.3P
r14
.2.1
VC
aP
.5V
Ca
P.2
Pr1
1.3
.2V
Ca
P.1
VC
aP
.4P
r21
.1.8
Pr1
8.1
.8P
r17
.1.2
Pr2
2.1
.8P
r17
.2.1
Pr1
1.3
.3P
r6.1
.1P
r18
.1.4
Pr2
2.1
.6P
r9.3
.8P
r6.1
.2P
r9.1
.4
PIK3CGTLR4NCF2FCGR3AIGSF6GPR34FCGR2CTYROBPMSR1FCGR2AHLA-DRB5CXCL8LAPTM5RGS1SLCO2B1HCLS1C1QACD14MNDAMS4A7ECM2CYTORTFPIPDGFRBCOL6A1ID3PCOLCEC3orf70COL14A1BGNDLC1TIMP1ASPNCOL3A1SULF1COL1A1SLIT2COL1A2THY1COL6A3DSC3KRT23ACTG2FGFR2MIAFAM60AMALAT1APPCD24PDE9ADSPTRIM2AQP1NFIBEPCAMCDH1KRT14BAMBIKRT5IGF2
0 5 10 15
Value
04
00
08
00
0
Color Key
and Histogram
Count
Tu
mo
r_C
10
Tu
mo
r_C
75
Tu
mo
r_C
91
Tu
mo
r_C
34
Tu
mo
r_C
19
Pr8
.1.2
Pr9
.1.7
Pr5
.1.3
Pr5
.1.2
Pr5
.1.1
Tu
mo
r_C
12
Tu
mo
r_C
66
Pr3
.1.2
HD
1.1
.w3
Pr1
1.2
.3P
r15
.1.2
HD
1.1
.w2
Pr1
8.1
.3P
r23
.1.w
1P
r14
.3.2
Pr9
.3.4
Pr2
.1.1
Pr1
3.1
.1P
r11
.4.3
HD
1.1
.w1
Pr1
2.1
.2P
r23
.1.w
2P
r16
.1.1
Pr6
.1.4
Pr9
.3.5
Pr1
2.1
.1P
riT
um
7P
riT
um
12
Pri
Tu
m6
Pri
Tu
m5
Tu
mo
r_C
33
Pri
Tu
m1
0P
riT
um
3P
riT
um
4P
riT
um
2P
riT
um
8P
riT
um
1P
riT
um
11
Pri
Tu
m9
Tu
mo
r_C
42
Tu
mo
r_C
04
Tu
mo
r_C
53
Tu
mo
r_C
41
Tu
mo
r_C
01
Tu
mo
r_C
69
Tu
mo
r_C
26
Tu
mo
r_C
43
Tu
mo
r_C
72
Tu
mo
r_C
58
Tu
mo
r_C
49
Tu
mo
r_C
15
Tu
mo
r_C
08
Tu
mo
r_C
79
Tu
mo
r_C
76
Tu
mo
r_C
94
Tu
mo
r_C
14
Tu
mo
r_C
05
Tu
mo
r_C
68
Tu
mo
r_C
37
Tu
mo
r_C
07
Tu
mo
r_C
23
Tu
mo
r_C
71
Tu
mo
r_C
82
Tu
mo
r_C
81
Tu
mo
r_C
28
Tu
mo
r_C
32
Tu
mo
r_C
06
Tu
mo
r_C
38
Tu
mo
r_C
16
Tu
mo
r_C
90
Tu
mo
r_C
73
Tu
mo
r_C
50
Tu
mo
r_C
92
Tu
mo
r_C
89
Tu
mo
r_C
63
Tu
mo
r_C
02
Tu
mo
r_C
60
Tu
mo
r_C
57
Tu
mo
r_C
85
Tu
mo
r_C
77
Tu
mo
r_C
27
Tu
mo
r_C
95
Tu
mo
r_C
22
Tu
mo
r_C
62
Tu
mo
r_C
24
Tu
mo
r_C
20
Tu
mo
r_C
51
Tu
mo
r_C
40
Tu
mo
r_C
84
Tu
mo
r_C
88
Tu
mo
r_C
70
Tu
mo
r_C
93
Tu
mo
r_C
74
Tu
mo
r_C
87
Tu
mo
r_C
86
Pr1
4.1
.1P
r10
.1.3
Pr1
6.1
.3P
r14
.3.4
Pr1
6.1
.2P
r10
.2.1
Pr1
3.1
.2P
r22
.1.1
2P
r18
.1.9
Pr1
0.2
.2P
r22
.1.1
Pr9
.3.3
Pr1
.1.1
Pr4
.1.1
Pr9
.3.6
Pr1
4.3
.5P
r14
.3.3
Pr1
1.1
.2P
r11
.1.1
Pr3
.1.1
Pr1
8.1
.5P
r22
.1.7
Pr1
7.1
.1P
r9.2
.2P
r16
.1.6
Pr1
4.2
.2P
r10
.1.2
Pr1
1.4
.4P
r2.1
.2P
r11
.2.2
Pr1
1.2
.1D
U1
45
.4P
r19
.1.3
Pr1
8.2
.4P
r11
.4.6
Pr1
9.1
.5P
r22
.1.1
0P
r14
.3.1
Pr1
1.4
.2P
r9.1
.6P
r19
.1.4
Pr1
8.1
.6P
r18
.2.3
Pr2
2.1
.9P
r14
.2.4
Pr2
2.1
.11
Pr9
.1.5
Pr2
1.1
.3P
r9.3
.7P
r21
.1.5
Pr2
1.1
.6P
r20
.1.2
Pr1
5.1
.1P
r16
.1.4
Pr2
2.1
.3P
r6.1
.3P
r18
.1.2
Pr9
.2.1
PC
3.5
PC
3.1
PC
3.4
PC
3.3
Pr1
8.2
.1P
r17
.2.2
Pr1
9.1
.2P
r18
.1.1
Pr2
1.1
.4P
r11
.3.1
LN
Ca
P.2
DU
14
5.5
LN
Ca
P.1
LN
Ca
P.R
.4L
NC
aP
.R.1
LN
Ca
P.3
LN
Ca
P.4
LN
Ca
P.5
LN
Ca
P.R
.2L
NC
aP
.D.3
LN
Ca
P.R
.3L
NC
aP
.R.5
LN
Ca
P.D
.1L
NC
aP
.D.2
LN
Ca
P.D
.5L
NC
aP
.D.4
Pr1
1.4
.5P
r18
.2.2
Pr2
1.1
.12
Pr1
4.2
.3P
r18
.1.7
Pr2
2.1
.2P
r14
.3.6
Pr1
4.2
.6P
r14
.2.5
Pr2
1.1
.11
Pr2
1.1
.1P
r21
.1.1
0P
r21
.1.9
Pr1
1.4
.1P
r21
.1.7
Pr2
1.1
.2P
r9.1
.1P
r22
.1.4
Pr9
.3.2
Pr9
.1.2
PC
3.2
DU
14
5.2
Pr9
.1.3
Pr9
.3.1
Pr6
.1.5
Pr2
2.1
.5P
r4.1
.2P
r20
.1.1
DU
14
5.3
DU
14
5.1
VC
aP
.3P
r14
.2.1
VC
aP
.5V
Ca
P.2
Pr1
1.3
.2V
Ca
P.1
VC
aP
.4P
r21
.1.8
Pr1
8.1
.8P
r17
.1.2
Pr2
2.1
.8P
r17
.2.1
Pr1
1.3
.3P
r6.1
.1P
r18
.1.4
Pr2
2.1
.6P
r9.3
.8P
r6.1
.2P
r9.1
.4
PIK3CGTLR4NCF2FCGR3AIGSF6GPR34FCGR2CTYROBPMSR1FCGR2AHLA-DRB5CXCL8LAPTM5RGS1SLCO2B1HCLS1C1QACD14MNDAMS4A7ECM2CYTORTFPIPDGFRBCOL6A1ID3PCOLCEC3orf70COL14A1BGNDLC1TIMP1ASPNCOL3A1SULF1COL1A1SLIT2COL1A2THY1COL6A3DSC3KRT23ACTG2FGFR2MIAFAM60AMALAT1APPCD24PDE9ADSPTRIM2AQP1NFIBEPCAMCDH1KRT14BAMBIKRT5IGF2
0 5 10 15
Value
0
Color Key
and Histogram
Count
Fig 5
certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. The copyright holder for this preprint (which was notthis version posted October 25, 2019. . https://doi.org/10.1101/818260doi: bioRxiv preprint