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Advances in Understanding Early-Onset Colorectal Cancer [Comment]
Hayes, Richard B
Since the 1990s, the incidence of early-onset colorectal cancer (at <50 years of age) in the US has increased by more than 50%; similar increases have also been observed internationally. These increases are found particularly among individuals born during and after the 1960s, raising the possibility that the increased rates of early-onset colorectal cancer are attributable to changes in risk-factor patterns throughout successive generations. The reasons for these alarming epidemiologic patterns for early-onset colorectal cancer worldwide are only recently being investigated and major gaps in our knowledge remain. In the current issue of this journal, Arif and colleagues differentiated characteristics and outcomes of early-onset colorectal cancer in patients with the predisposing conditions of inflammatory bowel disease or hereditary genetic syndromes, compared with patients who have sporadic disease. Also, in this issue, Schumacher and colleagues investigated risk factors for early-onset colorectal adenocarcinoma in a nested case-control study among Kaiser Permanente Southern California (KPSC) health plan members. The research presented on characteristics and outcomes points to the importance of sporadic disease in the rise of early-onset colorectal cancer, while the research presented on risk factors points to the importance of obesity as a potential explanatory factor for this rise.See related articles by Arif et al., p. 1785 and by Schumacher et al., p. 1792.
PMID: 34607882
ISSN: 1538-7755
CID: 5061822
Tobacco smoking and the fecal microbiome in a large, multi-ethnic cohort
Prakash, Ajay; Peters, Brandilyn A; Cobbs, Emilia; Beggs, Dia; Choi, Heesun; Li, Huilin; Hayes, Richard B; Ahn, Jiyoung
BACKGROUND:Increasing evidence suggests that tobacco smoking, a well-known driver of carcinogenesis, influences the gut microbiome; however, these relationships remain understudied in diverse populations. Thus, we performed an analysis of smoking and the gut microbiome in a subset of 803 adults from the multi-ethnic NYU FAMiLI study. METHODS:We assessed fecal microbiota using 16S rRNA gene sequencing, and clustered samples into Amplicon Sequence Variants using QIIME2. We evaluated inferred microbial pathway abundance using PICRUSt. We compared population beta diversity, and relative taxonomic and functional pathway abundance, between never smokers, former smokers, and current smokers. RESULTS:We found that the overall composition of the fecal microbiome in former and current smokers differs significantly from that of never smokers. The taxa Prevotella and Veillonellaceae were enriched in current and former smokers, while the taxa Lachnospira and Tenericutes were depleted, relative to never smokers. These shifts were consistent across racial and ethnic subgroups. Relative to never smokers, the abundance of taxa enriched in current smokers were positively correlated with the imputed abundance of pathways involving smoking-associated toxin breakdown and response to reactive oxygen species (ROS). CONCLUSIONS:Our findings suggest common mechanisms of smoking associated microbial change across racial subgroups, regardless of initial microbiome composition. The correlation of these differentials with ROS exposure pathways may suggest a role for these taxa in the known association between smoking, ROS and carcinogenesis. IMPACT/CONCLUSIONS:Smoking shifts in the microbiome may be independent of initial composition, stimulating further studies on the microbiome in carcinogenesis and cancer prevention.
PMID: 34020999
ISSN: 1538-7755
CID: 4888752
Genetic architectures of proximal and distal colorectal cancer are partly distinct
Huyghe, Jeroen R; Harrison, Tabitha A; Bien, Stephanie A; Hampel, Heather; Figueiredo, Jane C; Schmit, Stephanie L; Conti, David V; Chen, Sai; Qu, Conghui; Lin, Yi; Barfield, Richard; Baron, John A; Cross, Amanda J; Diergaarde, Brenda; Duggan, David; Harlid, Sophia; Imaz, Liher; Kang, Hyun Min; Levine, David M; Perduca, Vittorio; Perez-Cornago, Aurora; Sakoda, Lori C; Schumacher, Fredrick R; Slattery, Martha L; Toland, Amanda E; van Duijnhoven, Fränzel J B; Van Guelpen, Bethany; Agudo, Antonio; Albanes, Demetrius; Alonso, M Henar; Anderson, Kristin; Arnau-Collell, Coral; Arndt, Volker; Banbury, Barbara L; Bassik, Michael C; Berndt, Sonja I; Bézieau, Stéphane; Bishop, D Timothy; Boehm, Juergen; Boeing, Heiner; Boutron-Ruault, Marie-Christine; Brenner, Hermann; Brezina, Stefanie; Buch, Stephan; Buchanan, Daniel D; Burnett-Hartman, Andrea; Caan, Bette J; Campbell, Peter T; Carr, Prudence R; Castells, Antoni; CastellvÃ-Bel, Sergi; Chan, Andrew T; Chang-Claude, Jenny; Chanock, Stephen J; Curtis, Keith R; de la Chapelle, Albert; Easton, Douglas F; English, Dallas R; Feskens, Edith J M; Gala, Manish; Gallinger, Steven J; Gauderman, W James; Giles, Graham G; Goodman, Phyllis J; Grady, William M; Grove, John S; Gsur, Andrea; Gunter, Marc J; Haile, Robert W; Hampe, Jochen; Hoffmeister, Michael; Hopper, John L; Hsu, Wan-Ling; Huang, Wen-Yi; Hudson, Thomas J; Jenab, Mazda; Jenkins, Mark A; Joshi, Amit D; Keku, Temitope O; Kooperberg, Charles; Kühn, Tilman; Küry, Sébastien; Le Marchand, Loic; Lejbkowicz, Flavio; Li, Christopher I; Li, Li; Lieb, Wolfgang; Lindblom, Annika; Lindor, Noralane M; Männistö, Satu; Markowitz, Sanford D; Milne, Roger L; Moreno, Lorena; Murphy, Neil; Nassir, Rami; Offit, Kenneth; Ogino, Shuji; Panico, Salvatore; Parfrey, Patrick S; Pearlman, Rachel; Pharoah, Paul D P; Phipps, Amanda I; Platz, Elizabeth A; Potter, John D; Prentice, Ross L; Qi, Lihong; Raskin, Leon; Rennert, Gad; Rennert, Hedy S; Riboli, Elio; Schafmayer, Clemens; Schoen, Robert E; Seminara, Daniela; Song, Mingyang; Su, Yu-Ru; Tangen, Catherine M; Thibodeau, Stephen N; Thomas, Duncan C; Trichopoulou, Antonia; Ulrich, Cornelia M; Visvanathan, Kala; Vodicka, Pavel; Vodickova, Ludmila; Vymetalkova, Veronika; Weigl, Korbinian; Weinstein, Stephanie J; White, Emily; Wolk, Alicja; Woods, Michael O; Wu, Anna H; Abecasis, Goncalo R; Nickerson, Deborah A; Scacheri, Peter C; Kundaje, Anshul; Casey, Graham; Gruber, Stephen B; Hsu, Li; Moreno, Victor; Hayes, Richard B; Newcomb, Polly A; Peters, Ulrike
OBJECTIVE:An understanding of the etiologic heterogeneity of colorectal cancer (CRC) is critical for improving precision prevention, including individualized screening recommendations and the discovery of novel drug targets and repurposable drug candidates for chemoprevention. Known differences in molecular characteristics and environmental risk factors among tumors arising in different locations of the colorectum suggest partly distinct mechanisms of carcinogenesis. The extent to which the contribution of inherited genetic risk factors for CRC differs by anatomical subsite of the primary tumor has not been examined. DESIGN/METHODS:To identify new anatomical subsite-specific risk loci, we performed genome-wide association study (GWAS) meta-analyses including data of 48 214 CRC cases and 64 159 controls of European ancestry. We characterised effect heterogeneity at CRC risk loci using multinomial modelling. RESULTS:) and that were not reported by previous GWASs for overall CRC risk. Multiple lines of evidence support candidate genes at several of these loci. We detected substantial heterogeneity between anatomical subsites. Just over half (61) of 109 known and new risk variants showed no evidence for heterogeneity. In contrast, 22 variants showed association with distal CRC (including rectal cancer), but no evidence for association or an attenuated association with proximal CRC. For two loci, there was strong evidence for effects confined to proximal colon cancer. CONCLUSION/CONCLUSIONS:Genetic architectures of proximal and distal CRC are partly distinct. Studies of risk factors and mechanisms of carcinogenesis, and precision prevention strategies should take into consideration the anatomical subsite of the tumour.
PMID: 33632709
ISSN: 1468-3288
CID: 4794922
Nongenetic Determinants of Risk for Early-Onset Colorectal Cancer
Archambault, Alexi N; Lin, Yi; Jeon, Jihyoun; Harrison, Tabitha A; Bishop, D Timothy; Brenner, Hermann; Casey, Graham; Chan, Andrew T; Chang-Claude, Jenny; Figueiredo, Jane C; Gallinger, Steven; Gruber, Stephen B; Gunter, Marc J; Hoffmeister, Michael; Jenkins, Mark A; Keku, Temitope O; Marchand, Loïc Le; Li, Li; Moreno, Victor; Newcomb, Polly A; Pai, Rish; Parfrey, Patrick S; Rennert, Gad; Sakoda, Lori C; Sandler, Robert S; Slattery, Martha L; Song, Mingyang; Win, Aung Ko; Woods, Michael O; Murphy, Neil; Campbell, Peter T; Su, Yu-Ru; Zeleniuch-Jacquotte, Anne; Liang, Peter S; Du, Mengmeng; Hsu, Li; Peters, Ulrike; Hayes, Richard B
Background/UNASSIGNED:Incidence of early-onset (younger than 50 years of age) colorectal cancer (CRC) is increasing in many countries. Thus, elucidating the role of traditional CRC risk factors in early-onset CRC is a high priority. We sought to determine whether risk factors associated with late-onset CRC were also linked to early-onset CRC and whether association patterns differed by anatomic subsite. Methods/UNASSIGNED:Using data pooled from 13 population-based studies, we studied 3767 CRC cases and 4049 controls aged younger than 50 years and 23 437 CRC cases and 35 311 controls aged 50 years and older. Using multivariable and multinomial logistic regression, we estimated odds ratios (ORs) and 95% confidence intervals (CIs) to assess the association between risk factors and early-onset CRC and by anatomic subsite. Results/UNASSIGNED: = .04). Conclusion/UNASSIGNED:In this large study, we identified several nongenetic risk factors associated with early-onset CRC, providing a basis for targeted identification of those most at risk, which is imperative in mitigating the rising burden of this disease.
PMCID:8134523
PMID: 34041438
ISSN: 2515-5091
CID: 4888152
Environmental Influences on the Human Microbiome and Implications for Noncommunicable Disease
Ahn, Jiyoung; Hayes, Richard B
The human microbiome contributes metabolic functions, protects against pathogens, educates the immune system, and through these basic functions, directly or indirectly, affects most of our physiologic functions. Here, we consider the human microbiome and its relationship to several major noncommunicable human conditions, including orodigestive tract cancers, neurologic diseases, diabetes, and obesity. We also highlight the scope of contextual macroenvironmental factors (toxicological and chemical environment, built environment, and socioeconomic environment) and individual microenvironmental factors (smoking, alcohol, and diet) that may push the microbiota toward less healthy or more healthy conditions, influencing the development of these diseases. Last, we highlight current uncertainties and challenges in the study of environmental influences on the human microbiome and implications for understanding noncommunicable disease, suggesting a research agenda to strengthen the scientific evidence base.
PMID: 33798404
ISSN: 1545-2093
CID: 4862382
Assessment of a Polygenic Risk Score for Colorectal Cancer to Predict Risk of Lynch Syndrome Colorectal Cancer
Jenkins, Mark A; Buchanan, Daniel D; Lai, John; Makalic, Enes; Dite, Gillian S; Win, Aung K; Clendenning, Mark; Winship, Ingrid M; Hayes, Richard B; Huyghe, Jeroen R; Peters, Ulrike; Gallinger, Steven; Marchand, Loïc Le; Figueiredo, Jane C; Pai, Rish K; Newcomb, Polly A; Church, James M; Casey, Graham; Hopper, John L
It was not known whether the polygenic risk scores (PRSs) that predict colorectal cancer could predict colorectal cancer for people with inherited pathogenic variants in DNA mismatch repair genes-people with Lynch syndrome. We tested a PRS comprising 107 established single-nucleotide polymorphisms associated with colorectal cancer in European populations for 826 European-descent carriers of pathogenic variants in DNA mismatch repair genes (293 MLH1, 314 MSH2, 126 MSH6, 71 PMS2, and 22 EPCAM) from the Colon Cancer Family Registry, of whom 504 had colorectal cancer. There was no evidence of an association between the PRS and colorectal cancer risk, irrespective of which DNA mismatch repair gene was mutated, or sex (all 2-sided P > .05). The hazard ratio per standard deviation of the PRS for colorectal cancer was 0.97 (95% confidence interval = 0.88 to 1.06; 2-sided P = .51). Whereas PRSs are predictive of colorectal cancer in the general population, they do not predict Lynch syndrome colorectal cancer.
PMCID:8062848
PMID: 33928216
ISSN: 2515-5091
CID: 5017902
Evaluation of a commercial database to estimate residence histories in the Los Angeles Ultrafines Study
Medgyesi, Danielle N; Fisher, Jared A; Flory, Abigail R; Hayes, Richard B; Thurston, George D; Liao, Linda M; Ward, Mary H; Silverman, Debra T; Jones, Rena R
BACKGROUND:Commercial databases can be used to identify participant addresses over time, but their quality and impact on environmental exposure assessment is uncertain. OBJECTIVE:To evaluate the performance of a commercial database to find residences and estimate environmental exposures for study participants. METHODS:We searched LexisNexis® for participant addresses in the Los Angeles Ultrafines Study, a prospective cohort of men and women aged 50-71 years. At enrollment (1995-1996) and follow-up (2004-2005), we evaluated attainment (address found for the corresponding time period) and match rates to survey addresses by participant characteristics. We compared geographically-referenced predictors and estimates of ultrafine particulate matter (UFP) exposure from a land use regression model using LexisNexis and survey addresses at enrollment. RESULTS:LexisNexis identified an address for 69% of participants at enrollment (N=50,320) and 95% of participants at follow-up (N=24,432). Attainment rate at enrollment modestly differed (≥5%) by age, smoking status, education, and residential mobility between surveys. The match rate at both survey periods was high (82-86%) and similar across characteristics. When using LexisNexis versus survey addresses, correlations were high for continuous values of UFP exposure and its predictors (rho=0.86-0.92). SIGNIFICANCE/CONCLUSIONS:Time period and population characteristics influenced the attainment of addresses from a commercial database, but accuracy and subsequent estimation of specific air pollution exposures were high in our older study population.
PMID: 33689822
ISSN: 1096-0953
CID: 4809332
Response to Li and Hopper [Comment]
Thomas, Minta; Sakoda, Lori C; Hoffmeister, Michael; Rosenthal, Elisabeth A; Lee, Jeffrey K; van Duijnhoven, Franzel J B; Platz, Elizabeth A; Wu, Anna H; Dampier, Christopher H; de la Chapelle, Albert; Wolk, Alicja; Joshi, Amit D; Burnett-Hartman, Andrea; Gsur, Andrea; Lindblom, Annika; Castells, Antoni; Win, Aung Ko; Namjou, Bahram; Van Guelpen, Bethany; Tangen, Catherine M; He, Qianchuan; Li, Christopher I; Schafmayer, Clemens; Joshu, Corinne E; Ulrich, Cornelia M; Bishop, D Timothy; Buchanan, Daniel D; Schaid, Daniel; Drew, David A; Muller, David C; Duggan, David; Crosslin, David R; Albanes, Demetrius; Giovannucci, Edward L; Larson, Eric; Qu, Flora; Mentch, Frank; Giles, Graham G; Hakonarson, Hakon; Hampel, Heather; Stanaway, Ian B; Figueiredo, Jane C; Huyghe, Jeroen R; Minnier, Jessica; Chang-Claude, Jenny; Hampe, Jochen; Harley, John B; Visvanathan, Kala; Curtis, Keith R; Offit, Kenneth; Li, Li; Le Marchand, Loic; Vodickova, Ludmila; Gunter, Marc J; Jenkins, Mark A; Slattery, Martha L; Lemire, Mathieu; Woods, Michael O; Song, Mingyang; Murphy, Neil; Lindor, Noralane M; Dikilitas, Ozan; Pharoah, Paul D P; Campbell, Peter T; Newcomb, Polly A; Milne, Roger L; MacInnis, Robert J; CastellvÃ-Bel, Sergi; Ogino, Shuji; Berndt, Sonja I; Bézieau, Stéphane; Thibodeau, Stephen N; Gallinger, Steven J; Zaidi, Syed H; Harrison, Tabitha A; Keku, Temitope O; Hudson, Thomas J; Vymetalkova, Veronika; Moreno, Victor; MartÃn, Vicente; Arndt, Volker; Wei, Wei-Qi; Chung, Wendy; Su, Yu-Ru; Hayes, Richard B; White, Emily; Vodicka, Pavel; Casey, Graham; Gruber, Stephen B; Schoen, Robert E; Chan, Andrew T; Potter, John D; Brenner, Hermann; Jarvik, Gail P; Corley, Douglas A; Peters, Ulrike; Hsu, Li
PMID: 33667396
ISSN: 1537-6605
CID: 4835862
Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 Subjects
Guo, Xingyi; Lin, Weiqiang; Wen, Wanqing; Huyghe, Jeroen; Bien, Stephanie; Cai, Qiuyin; Harrison, Tabitha; Chen, Zhishan; Qu, Conghui; Bao, Jiandong; Long, Jirong; Yuan, Yuan; Wang, Fangqin; Bai, Mengqiu; Abecasis, Goncalo R; Albanes, Demetrius; Berndt, Sonja I; Bézieau, Stéphane; Bishop, D Timothy; Brenner, Hermann; Buch, Stephan; Burnett-Hartman, Andrea; Campbell, Peter T; CastellvÃ-Bel, Sergi; Chan, Andrew T; Chang-Claude, Jenny; Chanock, Stephen J; Cho, Sang Hee; Conti, David V; Chapelle, Albert de la; Feskens, Edith J M; Gallinger, Steven J; Giles, Graham G; Goodman, Phyllis J; Gsur, Andrea; Guinter, Mark; Gunter, Marc J; Hampe, Jochen; Hampel, Heather; Hayes, Richard B; Hoffmeister, Michael; Kampman, Ellen; Kang, Hyun Min; Keku, Temitope O; Kim, Hyeong Rok; Le Marchand, Loic; Lee, Soo Chin; Li, Christopher I; Li, Li; Lindblom, Annika; Lindor, Noralane; Milne, Roger L; Moreno, Victor; Murphy, Neil; Newcomb, Polly A; Nickerson, Deborah A; Offit, Kenneth; Pearlman, Rachel; Pharoah, Paul D P; Platz, Elizabeth A; Potter, John D; Rennert, Gad; Sakoda, Lori C; Schafmayer, Clemens; Schmit, Stephanie L; Schoen, Robert E; Schumacher, Fredrick R; Slattery, Martha L; Su, Yu-Ru; Tangen, Catherine M; Ulrich, Cornelia M; van Duijnhoven, Franzel J B; Van Guelpen, Bethany; Visvanathan, Kala; Vodicka, Pavel; Vodickova, Ludmila; Vymetalkova, Veronika; Wang, Xiaoliang; White, Emily; Wolk, Alicja; Woods, Michael O; Casey, Graham; Hsu, Li; Jenkins, Mark A; Gruber, Stephen B; Peters, Ulrike; Zheng, Wei
BACKGROUND AND AIMS/OBJECTIVE:Susceptibility genes and the underlying mechanisms for the majority of risk loci identified by genome-wide association studies (GWAS) for colorectal cancer (CRC) risk remain largely unknown. We conducted a transcriptome-wide association study (TWAS) to identify putative susceptibility genes. METHODS:Gene-expression prediction models were built using transcriptome and genetic data from the 284 normal transverse colon tissues of European descendants from the Genotype-Tissue Expression (GTEx), and model performance was evaluated using data from The Cancer Genome Atlas (n = 355). We applied the gene-expression prediction models and GWAS data to evaluate associations of genetically predicted gene-expression with CRC risk in 58,131 CRC cases and 67,347 controls of European ancestry. Dual-luciferase reporter assays and knockdown experiments in CRC cells and tumor xenografts were conducted. RESULTS:, including genes in 4 novel loci, PYGL (14q22.1), RPL28 (19q13.42), CAPN12 (19q13.2), MYH7B (20q11.22), and MAP1L3CA (20q11.22). In 9 known GWAS-identified loci, we uncovered 9 genes that have not been reported previously, whereas 4 genes remained statistically significant after adjusting for the lead risk variant of the locus. Through colocalization analysis in GWAS loci, we additionally identified 12 putative susceptibility genes that were supported by TWAS analysis at P < .01. We showed that risk allele of the lead risk variant rs1741640 affected the promoter activity of CABLES2. Knockdown experiments confirmed that CABLES2 plays a vital role in colorectal carcinogenesis. CONCLUSIONS:Our study reveals new putative susceptibility genes and provides new insight into the biological mechanisms underlying CRC development.
PMID: 33058866
ISSN: 1528-0012
CID: 4792862
US veterans administration diabetes risk (VADR) national cohort: cohort profile
Avramovic, Sanja; Alemi, Farrokh; Kanchi, Rania; Lopez, Priscilla M; Hayes, Richard B; Thorpe, Lorna E; Schwartz, Mark D
PURPOSE/OBJECTIVE:The veterans administration diabetes risk (VADR) cohort facilitates studies on temporal and geographic patterns of pre-diabetes and diabetes, as well as targeted studies of their predictors. The cohort provides an infrastructure for examination of novel individual and community-level risk factors for diabetes and their consequences among veterans. This cohort also establishes a baseline against which to assess the impact of national or regional strategies to prevent diabetes in veterans. PARTICIPANTS/METHODS:The VADR cohort includes all 6 082 018 veterans in the USA enrolled in the veteran administration (VA) for primary care who were diabetes-free as of 1 January 2008 and who had at least two diabetes-free visits to a VA primary care service at least 30 days apart within any 5-year period since 1 January 2003, or veterans subsequently enrolled and were diabetes-free at cohort entry through 31 December 2016. Cohort subjects were followed from the date of cohort entry until censure defined as date of incident diabetes, loss to follow-up of 2 years, death or until 31 December 2018. FINDINGS TO DATE/UNASSIGNED:The incidence rate of type 2 diabetes in this cohort of over 6 million veterans followed for a median of 5.5 years (over 35 million person-years (PY)) was 26 per 1000 PY. During the study period, 8.5% of the cohort were lost to follow-up and 17.7% died. Many demographic, comorbidity and other clinical variables were more prevalent among patients with incident diabetes. FUTURE PLANS/UNASSIGNED:This cohort will be used to study community-level risk factors for diabetes, such as attributes of the food environment and neighbourhood socioeconomic status via geospatial linkage to residence address information.
PMID: 33277282
ISSN: 2044-6055
CID: 4712412