Update on Early-Onset Colorectal Cancer (EOCRC) · 1 day ago · Update on Early-Onset Colorectal...

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Update on Early-Onset Colorectal Cancer (EOCRC) Thomas F. Imperiale, MD Indiana University School of Medicine Indianapolis, IN, USA WEO Colorectal Cancer Screening (Virtual) Committee Meeting October 9, 2020

Transcript of Update on Early-Onset Colorectal Cancer (EOCRC) · 1 day ago · Update on Early-Onset Colorectal...

  • Update on Early-Onset Colorectal Cancer (EOCRC)

    Thomas F. Imperiale, MDIndiana University School of Medicine

    Indianapolis, IN, USAWEO Colorectal Cancer Screening (Virtual) Committee Meeting

    October 9, 2020

  • Outline for this talk*

    • Review basic epidemiology of EOCRC

    • Discuss recent studies on genetic and phenotypic risk factors

    – Includes risk prediction models

    • Discuss what’s needed and what can be done now

    *No relevant disclosures

  • Siegel RK, et al. Gut 2019

    Age-standardized incidence rates, 2008-12, for CRC, adults 20-49 years:- Red – AAPC increased- Gray – stable or insufficient numbers- Blue – AAPC decreased

  • Siegel RL, et al. Gut 2019; 68:2179-85

  • Epidemiology of EOCRC (U.S.)• 10-11% of all CRC

    • Median age = 44 years

    • 75% of all EOCRC occurs in 40-49 year-olds– 50% of all in 45-49 year-olds

    • 75% of EOCRC is distal to the splenic flexure

    • 17% have a FDR w/ CRC (vs. 8% controls)

    • 15% have deficient MMR activityPatel SG and Boland CR. Gastrointest Endoscopy Clin N Am 2020:30:441-455

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    Genetic Risk Phenotypic Risk

    Contributors to CRC Risk

  • Study Aim and Methods• Determine whether a “personalized risk score” (PRS) of 95 CRC

    associated SNPs is associated with EOCRC• Pooled CRC cases and controls with clinical and genotyping data

    – Colon Cancer Family Registry– Colorectal Transdisciplinary Study– Genetics and Epidemiology of CRC Consortium (GECCO)

    • Weighed PRS based on # risk alleles for each SNP• Compared PRS between EOCRC & Late-onset CRC, and between

    cases and controls• Findings tested in replication dataset of 72,573

    – 25 EOCRC, 1,068 Usual-onset CRC, 71,380 controls w/o CRC

  • Risk estimates for EO vs Late-onset CRC associated with a 95-SNP PRS (Archambault et al. Gastroenterology 2020)

    GROUPHazard Ratio (95% CI) per 1 Std deviation

    P-value Fold-increase from lowest to highest quintile

    All Subjects

    < 50 years old 1.73 (1.17-2.56) 0.0056 3.7

    ≥ 50 years old 1.43 (1.34-1.51) 2.77E-31 2.9

    Negative Family History

    < 50 years old 1.76 (1.11-2.78) 0.0161 4.3

    ≥ 50 years old 1.42 (1.33-1.52) 2.85E-25 2.9

    Positive Family History

    < 50 years old 1.56 (0.75-3.26) 0.23 1.7

    ≥ 50 years old 1.34 (1.17-1.54) 2.87E-5 2.5

  • Archambault AN, et al. Gastroenterology 2020

  • Archambault AN, et al. Gastroenterology 2020

  • Study summary

    • The PRS, derived from common SNPs, stratifies individuals for risk of EOCRC, particularly among those reporting no FDR with CRC.

    • The associations between PRS and CRC are greater for EOCRC than for late-onset CRC.

    • The PRS may – along with lifestyle and environmental risk factors – contribute toward prioritizing earlier, personalized screening or other interventions.

  • Selected recent studies on RFs for EO-CRCCountry, yr

    Study design Study N Age Group

    Outcome (%) Independent Risk Factors

    S. Korea, 2017

    Prospective XS, screening colonoscopy

    2206 40-49 Adv Neoplasia (2.4)

    Age (1.16), smoking (3.12) metabolic syndrome (2.00)

    China, 2017

    Prospective XS, screening colonoscopy

    1133 40-49 Adv Neoplasia (2.9)

    Male sex, age 45-49, FDR w/CRC, (NNS=18.5) with all 3; diabetes

    UK, 2019 Case-control (Clin Practice Research Datalink)

    29K cases137K con.

    < 50 CRC Penicillin (1.5), Tetracycline (0.90) Atbx use > 10 years prior (1.17)

    U.S., 2019

    Prospective cohort (Nurses Health Study II)

    89,278 women 118 EOCRC

    25-42 CRC > 14 hours of TV/wk (vs. ≤ 7 hrs) RR=1.69; RR=2.44 for rectal CA, no FHx

    U.S., 2020

    Case-control (single center)

    269 EOCRC2802 LO-CRC1122 controls

    18-49 CRC Male sex, IBD, FHx of CRC – risk factors for EOCRC vs. controls; Male, Black, Asian, IBD, FHx for EOCRC vs LOCRC

    Koo JE, J Gastro Hep 2017; 32:98-105; Wong JTC, J Gastro Hep 2017; 32:92-97; Gausman V, Clin Gastro Hep 2019; Zhang J, et al. Gut 2019; doi:10.1136/gutjnl-2019-318593; Nguyen LH, JNCI Cancer Spectrum 2019; 2(4);pky073

  • Prevalence of Self-Reported Obesity Among U.S. Adults by State and Territory, BRFSS, 2019

  • BMI at an early age and risk of CRC• Meta-analysis of 15 observational studies

    – 13 cohort, 2 case-control

    • Related body “fatness” prior to age 30 to current risk of CRC - per 5 kg/m2 increase

    • Covariates – age, sex, SES, education, physical activity, diet components, smoking, alcohol, OC/exogenous estrogens, FHx CRC, Ht, DM, ASA

    Hidayat K, et al. Int’l J Cancer 2018; 142:729-740

  • Subgroup of studies for persons < 50 years

    1st Author Design N Meanage (years)

    F/U duration (years)

    Adjusted Relative Risk* (95% CI)

    Lundqvist Pro cohort 25,565 28.4 28.4 (!) 1.07 (0.98-1.17)

    Burton Retro cohort 12,206 20 49 1.16 (0.90-1.50)

    Levi Pro cohort 1.1 million 17.3 17.6 1.21 (1.00-1.45)

    Kantor Pro cohort 239,658 18 35 1.29 (1.17-1.42)

    Hidayat K, et al. IJC 2018

    * Per 5 kg/m2 increase

  • RISK PREDICTION MODELS FOR ADVANCED COLORECTAL NEOPLASIA IN PERSONS < 50

    1ST Au, Country, Year

    Population(N)

    Model variables

    Advanced neoplasia (%)

    How the model was used

    Model metrics and Results

    Jung YS, S. Korea, 2017

    30-49 year olds, screening colonoscopyN=57,635 derivationN=38,600 validation

    Age, sex, BMI, FHx CRC, smoking

    1.2 % Cutoff of >= 1.4% predicted probability

    AUROC = 0.67 vs. APCS at 0.59, KCS at 0.60, and Kaminski at 0.59

    Park YM S. Korea, 2017

    40-49 year olds, screening colonoscopyN=2,781

    “Older” age (45-49) years, male sex, HDL chol, H. pylori, triglycerides.

    2.5% Scoring system of 0 →9; score of ≥ 4 as “high risk” (43%)

    “High-risk” had Sensitivity =79%Specificity = 58%AUROC = 0.72

    Jung, YS, et al. Dig Dis Sci 2017;62:2518-25 Park YM, et al. BMC Gastro 2017; 17:7

  • What is needed• Hypothesis-generating research

    – Population-based (“ecological”) research – identify candidate risk factors

    – Lab-based research on cellular / molecular mechanisms

    • Observational research – identify / solidify risk factors– Improve risk stratification (?combine with genetic RFs)

    • Large database research examining gene-environment interactions– Consider microbiome

    • Promotion of what we can do NOW……

  • What to do now for EOCRC

    • For patients / the public– Report lower GI symptoms, especially bleeding– Look at stools, toilet paper– Adhere to healthy lifestyle – diet, BMI, exercise, no smoking, limit ethanol

    • For providers– Take thorough family histories – other cancers, AAs– *ASK* re: lower GI symptoms, constitutional (unintended weight loss)– At least sigmoidoscopy for unexplained rectal bleeding– Appropriate use of colonoscopy (e.g., unexplained Fe-deficient anemia) – Appropriate imaging for unexplained abdominal pain– Consider “early” screening (45) for multiple risk factors (smoking, BMI)

    • For systems– Universal testing of CRCs for dMMR (and NGS for all EOCRC)

  • Thomas F. Imperiale, MD