Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Ogino S et al. eAppendix 1. Page 1 eAppendix 1 Although following references are not included in the main text due to limited space, those can provide useful information for interested readers. We provide references along with accompanying explanations. Epidemiology as core and universal health science When rigorously conducted, epidemiologic research (including clinical research) can produce new knowledge, and advance medicine and public health.1-4 Epidemiologic research typically requires efforts to carefully select subjects from a larger population, compile information on exposures, health and diseases, collect biospecimens, and build a large database infrastructure.5,6 It is increasingly feasible to apply advanced omics technologies to those large population-based disease datasets.7,8 Contemporary epidemiology has been transforming to become more integrated fields of multiple disciplines, along with advances in biomedical sciences.9-11 Recent evolution of molecular pathological epidemiology (MPE) Analyses of tumor molecular pathology in epidemiologic research began in late 1980s and 1990s,12-21 and the early 2000s, under the umbrella term of "molecular epidemiology".21,22 MPE research has linked cigarette smoking to epigenetic changes such as DNA methylation,23-25 and linked MGMT promoter polymorphism (rs16906252) to MGMT promoter methylation and epigenetic silencing.26-31 Epidemiologic studies have shown that an effect estimate for their association is typically not strong (with a relative risk of approximately 1.2).32,33 MPE studies have shown that smoking is a risk factor for colorectal cancer subtype named microsatellite instability (MSI) or CpG island methylator phenotype (CIMP)-high, with a relative risk of approximately 2.23-25,34-38 However, accumulating evidence from MPE studies indicates that smoking is a risk factor for MSI-high subtype of colorectal cancer,23-25,34-37 while obesity is a risk factor for non-MSI-high subtype of colorectal cancer.39-42 Therefore, while under the conventional epidemiologic paradigm, smoking and obesity are risk factors for the same disease (colorectal cancer), under the new MPE paradigm, smoking and obesity are risk factors for different disease subtypes. The exposome represents the totality of exposures.43,44 Ogino S et al. eAppendix 1. Page 2 The GWAS-MPE approach can be used to examine possible biological implications of candidate cancer susceptibility polymorphisms.45-50 Challenges in molecular pathological epidemiology (MPE) The STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guideline was established in 2007,51,52 and the “STROBE-ME (molecular epidemiology)” guideline in 2011.53,54 Pioneering efforts to develop new statistical methodologies for analyses of disease heterogeneity, essentially reinforcing the MPE paradigm, have been underway.55-63 References 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. Ioannidis JP, Greenland S, Hlatky MA, et al. Increasing value and reducing waste in research design, conduct, and analysis. Lancet. 2014;383:166-175. Glickman ME, Rao SR, Schultz MR. False discovery rate control is a recommended alternative to Bonferroni-type adjustments in health studies. J Clin Epidemiol. 2014;67:850-857. Papatheodorou SI, Tsilidis KK, Evangelou E, Ioannidis JP. Application of credibility ceilings probes the robustness of meta-analyses of biomarkers and cancer risk. J Clin Epidemiol. 2015;68:163-174. Ioannidis JP. How to make more published research true. PLoS Med. 2014;11:e1001747. Colditz GA, Hankinson SE. The Nurses' Health Study: lifestyle and health among women. Nat Rev Cancer. 2005;5:388-396. Colditz GA, Chang SH. The Expanding Potential for Cohort Studies to Inform Priorities for Cancer Prevention. Epidemiology Open Access. 2013;3:e112. Waldron L, Ogino S, Hoshida Y, et al. Expression profiling of archival tissues for longterm health studies. Clin Cancer Res. 2012;18:6136-6146. Giannakis M, Hodis E, Mu J, et al. RNF43 is frequently mutated in colorectal and endometrial cancers. Nat Genet. 2014;46:1264-1266. Lam TK, Spitz M, Schully SD, Khoury MJ. "Drivers" of Translational Cancer Epidemiology in the 21st Century: Needs and Opportunities. Cancer Epidemiol Biomarkers Prev. 2013;22:181-188. Khoury MJ, Lam TK, Ioannidis JP, et al. Transforming epidemiology for 21st century medicine and public health. Cancer Epidemiol Biomarkers Prev. 2013;22:508-516. Spitz MR, Lam TK, Schully SD, Khoury MJ. The Next Generation of Large-Scale Epidemiologic Research: Implications for Training Cancer Epidemiologists. Am J Epidemiol. 2014;180:964-967. Rodenhuis S, Slebos RJ, Boot AJ, et al. Incidence and possible clinical significance of Kras oncogene activation in adenocarcinoma of the human lung. Cancer Res. 1988;48:5738-5741. Ogino S et al. eAppendix 1. Page 3 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. Vahakangas KH, Samet JM, Metcalf RA, et al. Mutations of p53 and ras genes in radonassociated lung cancer from uranium miners. Lancet. 1992;339:576-580. Suzuki H, Takahashi T, Kuroishi T, Suyama M, Ariyoshi Y, Ueda R. p53 mutations in non-small cell lung cancer in Japan: association between mutations and smoking. Cancer Res. 1992;52:734-736. Ryberg D, Kure E, Lystad S, et al. p53 mutations in lung tumors: relationship to putative susceptibility markers for cancer. Cancer Res. 1994;54:1551-1555. Samowitz WS, Slattery ML, Kerber RA. Microsatellite instability in human colonic cancer is not a useful clinical indicator of familial colorectal cancer. Gastroenterology. 1995;109:1765-1771. Freedman AN, Michalek AM, Marshall JR, et al. Familial and nutritional risk factors for p53 overexpression in colorectal cancer. Cancer Epidemiol Biomarkers Prev. 1996;5:285-291. Bautista D, Obrador A, Moreno V, et al. Ki-ras mutation modifies the protective effect of dietary monounsaturated fat and calcium on sporadic colorectal cancer. Cancer Epidemiol Biomarkers Prev. 1997;6:57-61. Martinez ME, Maltzman T, Marshall JR, et al. Risk factors for Ki-ras protooncogene mutation in sporadic colorectal adenomas. Cancer Res. 1999;59:5181-5185. Ishibe N, Freedman AN, Michalek AM, et al. Expression of p27(Kip1) and bcl-2, cigarette smoking, and colorectal cancer risk. Biomarkers. 2000;5:225-234. Bennett WP, Hussain SP, Vahakangas KH, Khan MA, Shields PG, Harris CC. Molecular epidemiology of human cancer risk: gene-environment interactions and p53 mutation spectrum in human lung cancer. J Pathol. 1999;187:8-18. Slattery ML. The science and art of molecular epidemiology. J Epidemiol Community Health. 2002;56:728-729. Samowitz WS, Albertsen H, Sweeney C, et al. Association of smoking, CpG island methylator phenotype, and V600E BRAF mutations in colon cancer. J Natl Cancer Inst. 2006;98:1731-1738. Limsui D, Vierkant RA, Tillmans LS, et al. Cigarette Smoking and Colorectal Cancer Risk by Molecularly Defined Subtypes. J Natl Cancer Inst. 2010;102:1012-1022. Nishihara R, Morikawa T, Kuchiba A, et al. A prospective study of duration of smoking cessation and colorectal cancer risk by epigenetics-related tumor classification. Am J Epidemiol. 2013;178:84-100. Ogino S, Hazra A, Tranah GJ, et al. MGMT germline polymorphism is associated with somatic MGMT promoter methylation and gene silencing in colorectal cancer. Carcinogenesis. 2007;28:1985-1990. Hawkins NJ, Lee JH, Wong JJ, Kwok CT, Ward RL, Hitchins MP. MGMT methylation is associated primarily with the germline C>T SNP (rs16906252) in colorectal cancer and normal colonic mucosa. Mod Pathol. 2009;22:1588-1599. McDonald KL, Rapkins RW, Olivier J, et al. The T genotype of the MGMT C>T (rs16906252) enhancer single-nucleotide polymorphism (SNP) is associated with promoter methylation and longer survival in glioblastoma patients. Eur J Cancer. 2013;49:360-368. Candiloro IL, Dobrovic A. Detection of MGMT promoter methylation in normal individuals is strongly associated with the T allele of the rs16906252 MGMT promoter single nucleotide polymorphism. Cancer Prev Res (Phila Pa). 2009;2:862-867. Ogino S et al. eAppendix 1. Page 4 30. 31. 32. 33. 34. 35. 36. 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. Leng S, Bernauer AM, Hong C, et al. The A/G Allele of Rs16906252 Predicts for MGMT Methylation and Is Selectively Silenced in Premalignant Lesions from Smokers and in Lung Adenocarcinomas. Clin Cancer Res. 2011;17:2014-2023. Kristensen LS, Nielsen HM, Hager H, Hansen LL. Methylation of MGMT in malignant pleural mesothelioma occurs in a subset of patients and is associated with the T allele of the rs16906252 MGMT promoter SNP. Lung Cancer. 2011;71:130-136. Botteri E, Iodice S, Bagnardi V, Raimondi S, Lowenfels AB, Maisonneuve P. Smoking and colorectal cancer: a meta-analysis. JAMA. 2008;300:2765-2778. Gong J, Hutter C, Baron JA, et al. A pooled analysis of smoking and colorectal cancer: timing of exposure and interactions with environmental factors. Cancer Epidemiol Biomarkers Prev. 2012;21:1974-1985. Curtin K, Samowitz WS, Wolff RK, Herrick J, Caan BJ, Slattery ML. Somatic alterations, metabolizing genes and smoking in rectal cancer. Int J Cancer. 2009;125:158-164. Poynter JN, Haile RW, Siegmund KD, et al. Associations between smoking, alcohol consumption, and colorectal cancer, overall and by tumor microsatellite instability status. Cancer Epidemiol Biomarkers Prev. 2009;18:2745-2750. Lindor NM, Yang P, Evans I, et al. Alpha-1-antitrypsin deficiency and smoking as risk factors for mismatch repair deficient colorectal cancer: A study from the colon cancer family registry. Mol Genet Metab. 2010;99:157-159. Chia VM, Newcomb PA, Bigler J, Morimoto LM, Thibodeau SN, Potter JD. Risk of microsatellite-unstable colorectal cancer is associated jointly with smoking and nonsteroidal anti-inflammatory drug use. Cancer Res. 2006;66:6877-6883. Barrow TM, Michels KB. Epigenetic epidemiology of cancer. Biochem Biophys Res Commun. 2014;455:70-83. Hughes LA, Williamson EJ, van Engeland M, et al. Body size and risk for colorectal cancers showing BRAF mutation or microsatellite instability: a pooled analysis. Int J Epidemiol. 2012;41:1060-1072. Slattery ML, Curtin K, Anderson K, et al. Associations between cigarette smoking, lifestyle factors, and microsatellite instability in colon tumors. J Natl Cancer Inst. 2000;92:1831-1836. Satia JA, Keku T, Galanko JA, et al. Diet, lifestyle, and genomic instability in the north Carolina colon cancer study. Cancer Epidemiol Biomarkers Prev. 2005;14:429-436. Campbell PT, Jacobs ET, Ulrich CM, et al. Case-control study of overweight, obesity, and colorectal cancer risk, overall and by tumor microsatellite instability status. J Natl Cancer Inst. 2010;102:391-400. Wild CP. The exposome: from concept to utility. Int J Epidemiol. 2012;41:24-32. Peters A, Hoek G, Katsouyanni K. Understanding the link between environmental exposures and health: does the exposome promise too much? J Epidemiol Community Health. 2012;66:103-105. Gruber SB, Moreno V, Rozek LS, et al. Genetic variation in 8q24 associated with risk of colorectal cancer. Cancer Biol Ther. 2007;6:1143-1147. Slattery ML, Herrick J, Curtin K, et al. Increased Risk of Colon Cancer Associated with a Genetic Polymorphism of SMAD7. Cancer Res. 2010;70:1479-1485. Garcia-Albeniz X, Nan H, Valeri L, et al. Phenotypic and tumor molecular characterization of colorectal cancer in relation to a susceptibility SMAD7 variant associated with survival. Carcinogenesis. 2013;34:292-298. Ogino S et al. eAppendix 1. Page 5 48. 49. 50. 51. 52. 53. 54. 55. 56. 57. 58. 59. 60. 61. 62. 63. Nan H, Morikawa T, Suuriniemi M, et al. Aspirin use, 8q24 single nucleotide polymorphism rs6983267, and colorectal cancer according to CTNNB1 alterations. J Natl Cancer Inst. 2013;105:1852-1861. Garcia-Closas M, Couch FJ, Lindstrom S, et al. Genome-wide association studies identify four ER negative-specific breast cancer risk loci. Nat Genet. 2013;45:392-398, 398e391-392. Shen H, Fridley BL, Song H, et al. Epigenetic analysis leads to identification of HNF1B as a subtype-specific susceptibility gene for ovarian cancer. Nat Commun. 2013;4:1628. von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. PLoS Med. 2007;4:e296. Vandenbroucke JP, von Elm E, Altman DG, et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. PLoS Med. 2007;4:e297. Terry MB, Knight JA. STROBE-ME - Illuminating methodological issues for the reporting of molecular epidemiology data. Prev Med. 2011;53:388-389. Gallo V, Egger M, McCormack V, et al. STrengthening the Reporting of OBservational studies in Epidemiology - Molecular Epidemiology (STROBE-ME): An Extension of the STROBE Statement. PLoS Med. 2011;8:e1001117. Chatterjee N. A Two-Stage Regression Model for Epidemiological Studies With Multivariate Disease Classification Data. . Journal of the American Statistical Association. 2004;99:127-138. Chatterjee N, Sinha S, Diver WR, Feigelson HS. Analysis of cohort studies with multivariate and partially observed disease classification data. Biometrika. 2010;97:683698. Begg CB. A strategy for distinguishing optimal cancer subtypes. Int J Cancer. 2011;129:931-937. Begg CB, Zabor EC. Detecting and Exploiting Etiologic Heterogeneity in Epidemiologic Studies. Am J Epidemiol. 2012;176:512-518. Begg CB, Zabor EC, Bernstein JL, Bernstein L, Press MF, Seshan VE. A conceptual and methodological framework for investigating etiologic heterogeneity. Stat Med. 2013;32:5039-5052. Rosner B, Glynn RJ, Tamimi RM, et al. Breast cancer risk prediction with heterogeneous risk profiles according to breast cancer tumor markers. Am J Epidemiol. 2013;178:296308. Begg CB, Seshan VE, Zabor EC, et al. Genomic investigation of etiologic heterogeneity: methodologic challenges. BMC Med Res Methodol. 2014;14:138. Wang M, Kuchiba A, Ogino S. A meta-regression method for studying etiologic heterogeneity across disease subtypes classified by multiple biomarkers. Am J Epidemiol. 2015;182:263-270. Begg CB, Orlow I, Zabor EC, et al. Identifying Etiologically Distinct Sub-Types of Cancer: A Demonstration Project Involving Breast Cancer. Cancer Med. 2015;4:14321439.