African ESCC Case-Control Consortium
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Transcript of African ESCC Case-Control Consortium
![Page 1: African ESCC Case-Control Consortium](https://reader033.fdocuments.in/reader033/viewer/2022051710/585193b21a28abfa398c7310/html5/thumbnails/1.jpg)
African ESCC Case-Control Consortium
• Why?
No suitable cohorts
Primary prevention
Power
Risk stratification for screening
• Priority risk factors to investigate
• Current fieldwork
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• Encompass a broad range of putative risk factors
• Priority factors for investigation are those established or
probable carcinogens in other settings
– Identify exposure sources
– Evaluate as risk factors and their contribution to African EC burden
• Undertake research in multiple settings
– interpret findings both locally and in terms of the African
EC corridor
– Co-ordinate harmonized effort, for pooling
– Include tumor and biospecimen
Research Perspective
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Previous Studies Country, locationa Recruitm
ent
No. cases
: controls
To
ba
cc
o
Alc
oh
ol
HA
P
HIV
Other findings
S. Africa – Gauteng 1953-55 44 : 44 ↑ ↑ • • ↑ in miners
S Africa – Gauteng 1963-? 196 : 1064 ↑ ↔ • •
Zimbabwe 1963-77 881: 5238 ↑ ↔ • • ↑ in miners
S. Africa – KZN 1978-81 211 :211 ↑ ↑ • ↑ commercial maize
S. Africa – Gauteng 1984-85 200 : 391 ↑ ↑ • •
S. Africa – E. Cape 1987-88 100 : 100 ↑ ↔ • • ↑ solanum nigrum, ↑ trad. Med
S. Africa - Gauteng 1995-99 405 : 2174 ↑ ↑ • ↔
S. Africa – KZN ~2000? 87 : 121 ↑ ↑ ↑ •
S. Africa – E. Cape 2001-03 670 : 1188 ↑ ↑ ↓ green leafy veg ↓ fruit,
↑maize+wild greens+ beans
S. Africa – E. Cape Not stated 234 : 595 ↑ ↔ • No assoc. with iron overload
Kenya, Eldoret 2003-06 159 : 159 ↑ ↑ ↑ ↔ ↑ hot drinks, ↑ tooth loss (unadj)
Uganda, Kampala 2004-05 55 : 232 ↑ ↔ • •
Malawi 2011-13 96 : 180 ↑ ↑ ↑ white maize flour
Zambia, Lusaka 2013-14 50 : 50 ↑ ↑ ↑ ↑
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– Alcohol
• Sachets - tujilijili, virobas
• Local brews – spirits gongo, changaa
– Tobacco
• Smoking
• Snuff and chewing, incl. ugoro, betel quid (kuberi) with tobacco
– Hot beverages / porridge / nsima
• Tongue burning, beverage type
– PAH: Indoor pollution, mursik, dukhan, charcoal
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Priority risk factors to study
– Low intake of fresh fruits and vegetables, nutrient
deficiencies
– N-nitroso compounds: water sources, nitrates in food
– Oral health
• Fluorosis index, DFMT score, leukoplakia, method of tooth
brushing: toothbrush, wood, mkaa
– Animal contact
– Ptaquiloside –from pteridium aquilinum – bracken?
– Mycotoxins?
– Geophagia
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Munishi et al, 2015. Cancer Causes & Control
Raw data – temperatures at first and last sip for milky and black tea
• Black tea cools faster
• Black tea is sipped faster
• Milky tea is hotter throughout, despite waiting longer
Temp. at 1st sip Average temp. Minutes pouring to 1st sipMilky tea Black tea
0.0
0.2
0.4
0.6
0.8
Prop
ortio
n ev
er b
urnt
tong
ue o
n a
hot b
ever
age
<65
65-6
9
70+
<60
60-6
4
64-6
8
68+
1.5
1.5-
1.9
2.0+ 1.
5
1.5-
1.9
2.0+ 25
Milky tea
Black tea
6.9 mins before
milky tea is 60C
3.4 mins before
black tea is 60C
*
40
50
60
70
80
Te
mp
era
ture
in
Ce
lsiu
s
0 5 10 15Minutes after pouring at 79 Celsius
20-80th percentile of temperature at first sip
20-80th percentiles of temperature at last sip
*Medium temperature at pouring, 79 Celsius. Cooling curve for ambient temperature of 20C
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40% Se deficiency in Malawi, under by geochemical control
Restricted locally-sourced diet
Suggestions of Micronutrient deficiencies
Hurst R. Scientific Reports 2013
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Suggestions of Micronutrient deficiencies
Hurst R. Scientific Reports 2013
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National nutrient supplies per capita across Africa,
separating 10 highest EC incidence countries
Joy et al. Dietary mineral supplies in Africa. Physiol Plant
2014;151:208-29; Schaafsma et al. Plos One 2015
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Eldoret – Pilot study • 164 case-control pairs (84% ESCC). Non-ESCC excluded
Cases
N=138
Controls
N=155
Male (col %) 66 % 54 %
Age: mean, range 58 (28-89) 56 (21-91)
No. children (median) 6 6
Family history EC 2.2 % 3.9 %
Farmer
Office/business
Other
62 %
30 %
8 %
50 %
42 %
8 %
Kelenjin
Luhya
Luo
Other
59 %
25 %
8 %
8 %
53 %
21 %
10 %
16 %
02
04
06
08
01
00
Perc
enta
ge
Male Female
Controls Cases Controls Cases
Drinks&smokes
Drinks, non-smoker
Smokes, non-drinker
Neither smoker/drinker
Combined alcohol and smoking
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Cases
ORs adjusted for age, gender; P-interaction with age for drink+smoke significant
All
Men
Women
<50y
50+y All
Men
Women
<50y
50+y
Ever Drinker & Ever Smoker vsNever drinker & never smoker
Ever Drinker & Never Smoker vs Never drinker & never smoker
.05
.15
.51
24
816
Odds R
atio (
95%
CI)
05
10
15
20
25
30
35
05
10
15
20
25
30
35
20 25 30 35 40 45 50 55 60 65 70 75 80 85 90
20 25 30 35 40 45 50 55 60 65 70 75 80 85 90
Male
Female
Drinks&smokes
Drinks, non-smoker
Smokes, non-drinker
Neither smoker/drinker
Num
ber
of ca
ses (
Eld
ore
t)
Graphs by survey-gender
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African EC case-control study Consortium
Etiologic Research
Case-control study
What?
Design, questionnaire, bio-specimen,
environ-mental
measures
How?
mHarmonize protocol and
collection platforms
Where?
Kenya, Tanzania, Malawi,
Ethiopia?, Zambia?, SA?
Scientific insights
GWAS, Mutation,
Tumor genome,
Methylome, Risk factor epi, geneXenviron
Training
Pathology, Surgery,
Endoscopy
Early Detection
Coordination
We’re here! 2018 onwards
Fieldwork + biobanking investment
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mHealth Harmonized data
collection from the outset
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No. case-control sets – full detailed questionnaire
+ tumor + DNA
KE
Eldoret
KE
Tenwek
TZ
Moshi
TZ Dar ML
Lilongwe
All
To end 2016 300 70 100 400 - 870
2017 150 200 100 - 100 550
2018 ? 200 100 - 100 400
To end 2018 450 470 300 400
200 1820
Likely sites, IRB nearly/already approved
No. case-control sets – short questionnaire + tumor + DNA
KE
Eldoret
KE
Tenwek
TZ
Moshi
TZ Dar ML
Lilongwe
All
To end 2016 300 70 100 400 - 870
2017 150 400 100 400 100 1050
2018 ? 400 100 100 500
To end 2018 450 870 300 800
200 2620
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Team Effort
Eldoret
D. Menya
N. Kigen
M. Oduor
Moshi
B. Mmbaga
A. Mwasamwaja
G. Mushi
M. Oresto Munishi
Malawi
C. Dzamalala
Consortium
J. Schuz, IARC
B. Abedi Ardekani, IARC
R. Hanisch, IARC
C. Carreira, IARC
M. Watts, BGS C. Abnet, NCI
S. Dawsey,NCI
G. Murphy, NCI
N. Pritchett, NCI
B. Kaimila, UNC Lilongwe
S. Gopal, UNC Lilongwe
M. Mwachiro
K. Van Loon, UCSF
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Questions • How to attract funding?
• How to investigate nutritional deficiencies in case-control design?
• What is the appropriate control group?
• Where to locate studies? Incidence gradient undefined.
• Is South Africa part of the ESCC corridor?
• Drivers in women, non-drinkers/non-smokers, young cases
– Continue recruitment < 40 cases?