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Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort

Su, Yu-Ru; Sakoda, Lori C; Jeon, Jihyoun; Thomas, Minta; Lin, Yi; Schneider, Jennifer L; Udaltsova, Natalia; Lee, Jeffrey K; Lansdorp-Vogelaar, Iris; Peterse, Elisabeth F P; Zauber, Ann G; Zheng, Jiayin; Zheng, Yingye; Hauser, Elizabeth; Baron, John A; Barry, Elizabeth L; Bishop, D Timothy; Brenner, Hermann; Buchanan, Daniel D; Burnett-Hartman, Andrea; Campbell, Peter T; Casey, Graham; Castellví-Bel, Sergi; Chan, Andrew T; Chang-Claude, Jenny; Figueiredo, Jane C; Gallinger, Steven J; Giles, Graham G; Gruber, Stephen B; Gsur, Andrea; Gunter, Marc J; Hampe, Jochen; Hampel, Heather; Harrison, Tabitha A; Hoffmeister, Michael; Hua, Xinwei; Huyghe, Jeroen R; Jenkins, Mark A; Keku, Temitope O; Marchand, Loic Le; Li, Li; Lindblom, Annika; Moreno, Victor; Newcomb, Polly A; Pharoah, Paul D P; Platz, Elizabeth A; Potter, John D; Qu, Conghui; Rennert, Gad; Schoen, Robert E; Slattery, Martha L; Song, Mingyang; van Duijnhoven, Fränzel J B; Van Guelpen, Bethany; Vodicka, Pavel; Wolk, Alicja; Woods, Michael O; Wu, Anna H; Hayes, Richard B; Peters, Ulrike; Corley, Douglas A; Hsu, Li
BACKGROUND:Polygenic risk scores (PRS) which summarize individuals' genetic risk profile may enhance targeted colorectal cancer screening. A critical step towards clinical implementation is rigorous external validations in large community-based cohorts. This study externally validated a PRS-enhanced colorectal cancer risk model comprising 140 known colorectal cancer loci to provide a comprehensive assessment on prediction performance. METHODS:The model was developed using 20,338 individuals and externally validated in a community-based cohort (n = 85,221). We validated predicted 5-year absolute colorectal cancer risk, including calibration using expected-to-observed case ratios (E/O) and calibration plots, and discriminatory accuracy using time-dependent AUC. The PRS-related improvement in AUC, sensitivity and specificity were assessed in individuals of age 45 to 74 years (screening-eligible age group) and 40 to 49 years with no endoscopy history (younger-age group). RESULTS:In European-ancestral individuals, the predicted 5-year risk calibrated well [E/O = 1.01; 95% confidence interval (CI), 0.91-1.13] and had high discriminatory accuracy (AUC = 0.73; 95% CI, 0.71-0.76). Adding the PRS to a model with age, sex, family and endoscopy history improved the 5-year AUC by 0.06 (P < 0.001) and 0.14 (P = 0.05) in the screening-eligible age and younger-age groups, respectively. Using a risk-threshold of 5-year SEER colorectal cancer incidence rate at age 50 years, adding the PRS had a similar sensitivity but improved the specificity by 11% (P < 0.001) in the screening-eligible age group. In the younger-age group it improved the sensitivity by 27% (P = 0.04) with similar specificity. CONCLUSIONS:The proposed PRS-enhanced model provides a well-calibrated 5-year colorectal cancer risk prediction and improves discriminatory accuracy in the external cohort. IMPACT:The proposed model has potential utility in risk-stratified colorectal cancer prevention.
PMCID:9992158
PMID: 36622766
ISSN: 1538-7755
CID: 5431952

Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

Fernandez-Rozadilla, Ceres; Timofeeva, Maria; Chen, Zhishan; Law, Philip; Thomas, Minta; Schmit, Stephanie; Díez-Obrero, Virginia; Hsu, Li; Fernandez-Tajes, Juan; Palles, Claire; Sherwood, Kitty; Briggs, Sarah; Svinti, Victoria; Donnelly, Kevin; Farrington, Susan; Blackmur, James; Vaughan-Shaw, Peter; Shu, Xiao-Ou; Long, Jirong; Cai, Qiuyin; Guo, Xingyi; Lu, Yingchang; Broderick, Peter; Studd, James; Huyghe, Jeroen; Harrison, Tabitha; Conti, David; Dampier, Christopher; Devall, Mathew; Schumacher, Fredrick; Melas, Marilena; Rennert, Gad; Obón-Santacana, Mireia; Martín-Sánchez, Vicente; Moratalla-Navarro, Ferran; Oh, Jae Hwan; Kim, Jeongseon; Jee, Sun Ha; Jung, Keum Ji; Kweon, Sun-Seog; Shin, Min-Ho; Shin, Aesun; Ahn, Yoon-Ok; Kim, Dong-Hyun; Oze, Isao; Wen, Wanqing; Matsuo, Keitaro; Matsuda, Koichi; Tanikawa, Chizu; Ren, Zefang; Gao, Yu-Tang; Jia, Wei-Hua; Hopper, John; Jenkins, Mark; Win, Aung Ko; Pai, Rish; Figueiredo, Jane; Haile, Robert; Gallinger, Steven; Woods, Michael; Newcomb, Polly; Duggan, David; Cheadle, Jeremy; Kaplan, Richard; Maughan, Timothy; Kerr, Rachel; Kerr, David; Kirac, Iva; Böhm, Jan; Mecklin, Lukka-Pekka; Jousilahti, Pekka; Knekt, Paul; Aaltonen, Lauri; Rissanen, Harri; Pukkala, Eero; Eriksson, Johan; Cajuso, Tatiana; Hänninen, Ulrika; Kondelin, Johanna; Palin, Kimmo; Tanskanen, Tomas; Renkonen-Sinisalo, Laura; Zanke, Brent; Männistö, Satu; Albanes, Demetrius; Weinstein, Stephanie; Ruiz-Narvaez, Edward; Palmer, Julie; Buchanan, Daniel; Platz, Elizabeth; Visvanathan, Kala; Ulrich, Cornelia; Siegel, Erin; Brezina, Stefanie; Gsur, Andrea; Campbell, Peter; Chang-Claude, Jenny; Hoffmeister, Michael; Brenner, Hermann; Slattery, Martha; Potter, John; Tsilidis, Konstantinos; Schulze, Matthias; Gunter, Marc; Murphy, Neil; Castells, Antoni; Castellví-Bel, Sergi; Moreira, Leticia; Arndt, Volker; Shcherbina, Anna; Stern, Mariana; Pardamean, Bens; Bishop, Timothy; Giles, Graham; Southey, Melissa; Idos, Gregory; McDonnell, Kevin; Abu-Ful, Zomoroda; Greenson, Joel; Shulman, Katerina; Lejbkowicz, Flavio; Offit, Kenneth; Su, Yu-Ru; Steinfelder, Robert; Keku, Temitope; van Guelpen, Bethany; Hudson, Thomas; Hampel, Heather; Pearlman, Rachel; Berndt, Sonja; Hayes, Richard; Martinez, Marie Elena; Thomas, Sushma; Corley, Douglas; Pharoah, Paul; Larsson, Susanna; Yen, Yun; Lenz, Heinz-Josef; White, Emily; Li, Li; Doheny, Kimberly; Pugh, Elizabeth; Shelford, Tameka; Chan, Andrew; Cruz-Correa, Marcia; Lindblom, Annika; Hunter, David; Joshi, Amit; Schafmayer, Clemens; Scacheri, Peter; Kundaje, Anshul; Nickerson, Deborah; Schoen, Robert; Hampe, Jochen; Stadler, Zsofia; Vodicka, Pavel; Vodickova, Ludmila; Vymetalkova, Veronika; Papadopoulos, Nickolas; Edlund, Chistopher; Gauderman, William; Thomas, Duncan; Shibata, David; Toland, Amanda; Markowitz, Sanford; Kim, Andre; Chanock, Stephen; van Duijnhoven, Franzel; Feskens, Edith; Sakoda, Lori; Gago-Dominguez, Manuela; Wolk, Alicja; Naccarati, Alessio; Pardini, Barbara; FitzGerald, Liesel; Lee, Soo Chin; Ogino, Shuji; Bien, Stephanie; Kooperberg, Charles; Li, Christopher; Lin, Yi; Prentice, Ross; Qu, Conghui; Bézieau, Stéphane; Tangen, Catherine; Mardis, Elaine; Yamaji, Taiki; Sawada, Norie; Iwasaki, Motoki; Haiman, Christopher; Le Marchand, Loic; Wu, Anna; Qu, Chenxu; McNeil, Caroline; Coetzee, Gerhard; Hayward, Caroline; Deary, Ian; Harris, Sarah; Theodoratou, Evropi; Reid, Stuart; Walker, Marion; Ooi, Li Yin; Moreno, Victor; Casey, Graham; Gruber, Stephen; Tomlinson, Ian; Zheng, Wei; Dunlop, Malcolm; Houlston, Richard; Peters, Ulrike
PMID: 36782065
ISSN: 1546-1718
CID: 5427102

PM2.5 and Cardiovascular Health Risks

Krittanawong, Chayakrit; Qadeer, Yusuf Kamran; Hayes, Richard B; Wang, Zhen; Virani, Salim; Thurston, George D; Lavie, Carl J
PM2.5 is a frequently studied particulate matter metric, due to its wide range of identified overall adverse health effects, particularly cardiovascular health risks. However, there are no clear clinical practice guidelines for air pollution in regard to the prevention of cardiovascular health risks, since most of the current medical guidelines for CVD focus on metabolic risk factors such as hyperlipidemia or diabetes. We sought to determine the relationship between PM2.5 and cardiovascular disease, cardiovascular events, and all-cause mortality by performing a systematic review and meta-analysis. We searched Ovid MEDLINE, Ovid Embase, Ovid Cochrane Database of Systematic Reviews, Scopus, and Web of Science from the database inception to December 2022 for studies that reported an association between PM2.5 and cardiovascular disease, cardiovascular events, and all-cause mortality. We used the DerSimonian & Laird random-effects method to pool hazard ratios or risk ratios separately from the included studies. Of the total 18 prospective studies, 7,300,591 individuals were followed for a median follow-up of 9 years. Compared to low long-term exposure to PM 2.5 levels, an increase in exposure to PM 2.5 levels resulted in an increase in all-cause mortality (HR 1.08 95% CI of 1.05-1.11, P < 0.05). Similarly, when compared to a low long-term exposure to PM 2.5 levels, an increase in exposure to PM 2.5 levels resulted in an increase in cardiovascular disease (HR 1.09, 95% CI of 1.00-1.18, P < 0.05) and an increase in cardiovascular disease mortality (HR 1.12, 95% CI of 1.07-1.18, P < 0.05). Increased exposure to PM 2.5 levels is significantly associated with an increased risk of all-cause mortality, cardiovascular disease, and cardiovascular disease mortality. Although federal primary and secondary standards are in place, those standards are not low enough to prevent CVD health effects. Clinicians should emphasize PM2.5 as a modifiable CV risk factors for their patients to potentially reduce the development of CV complications. A clinical action guideline is needed specifically for air pollution effects on CVD, and how to mitigate them.
PMID: 36828043
ISSN: 1535-6280
CID: 5434092

Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

Fernandez-Rozadilla, Ceres; Timofeeva, Maria; Chen, Zhishan; Law, Philip; Thomas, Minta; Schmit, Stephanie; Díez-Obrero, Virginia; Hsu, Li; Fernandez-Tajes, Juan; Palles, Claire; Sherwood, Kitty; Briggs, Sarah; Svinti, Victoria; Donnelly, Kevin; Farrington, Susan; Blackmur, James; Vaughan-Shaw, Peter; Shu, Xiao-Ou; Long, Jirong; Cai, Qiuyin; Guo, Xingyi; Lu, Yingchang; Broderick, Peter; Studd, James; Huyghe, Jeroen; Harrison, Tabitha; Conti, David; Dampier, Christopher; Devall, Mathew; Schumacher, Fredrick; Melas, Marilena; Rennert, Gad; Obón-Santacana, Mireia; Martín-Sánchez, Vicente; Moratalla-Navarro, Ferran; Oh, Jae Hwan; Kim, Jeongseon; Jee, Sun Ha; Jung, Keum Ji; Kweon, Sun-Seog; Shin, Min-Ho; Shin, Aesun; Ahn, Yoon-Ok; Kim, Dong-Hyun; Oze, Isao; Wen, Wanqing; Matsuo, Keitaro; Matsuda, Koichi; Tanikawa, Chizu; Ren, Zefang; Gao, Yu-Tang; Jia, Wei-Hua; Hopper, John; Jenkins, Mark; Win, Aung Ko; Pai, Rish; Figueiredo, Jane; Haile, Robert; Gallinger, Steven; Woods, Michael; Newcomb, Polly; Duggan, David; Cheadle, Jeremy; Kaplan, Richard; Maughan, Timothy; Kerr, Rachel; Kerr, David; Kirac, Iva; Böhm, Jan; Mecklin, Lukka-Pekka; Jousilahti, Pekka; Knekt, Paul; Aaltonen, Lauri; Rissanen, Harri; Pukkala, Eero; Eriksson, Johan; Cajuso, Tatiana; Hänninen, Ulrika; Kondelin, Johanna; Palin, Kimmo; Tanskanen, Tomas; Renkonen-Sinisalo, Laura; Zanke, Brent; Männistö, Satu; Albanes, Demetrius; Weinstein, Stephanie; Ruiz-Narvaez, Edward; Palmer, Julie; Buchanan, Daniel; Platz, Elizabeth; Visvanathan, Kala; Ulrich, Cornelia; Siegel, Erin; Brezina, Stefanie; Gsur, Andrea; Campbell, Peter; Chang-Claude, Jenny; Hoffmeister, Michael; Brenner, Hermann; Slattery, Martha; Potter, John; Tsilidis, Konstantinos; Schulze, Matthias; Gunter, Marc; Murphy, Neil; Castells, Antoni; Castellví-Bel, Sergi; Moreira, Leticia; Arndt, Volker; Shcherbina, Anna; Stern, Mariana; Pardamean, Bens; Bishop, Timothy; Giles, Graham; Southey, Melissa; Idos, Gregory; McDonnell, Kevin; Abu-Ful, Zomoroda; Greenson, Joel; Shulman, Katerina; Lejbkowicz, Flavio; Offit, Kenneth; Su, Yu-Ru; Steinfelder, Robert; Keku, Temitope; van Guelpen, Bethany; Hudson, Thomas; Hampel, Heather; Pearlman, Rachel; Berndt, Sonja; Hayes, Richard; Martinez, Marie Elena; Thomas, Sushma; Corley, Douglas; Pharoah, Paul; Larsson, Susanna; Yen, Yun; Lenz, Heinz-Josef; White, Emily; Li, Li; Doheny, Kimberly; Pugh, Elizabeth; Shelford, Tameka; Chan, Andrew; Cruz-Correa, Marcia; Lindblom, Annika; Hunter, David; Joshi, Amit; Schafmayer, Clemens; Scacheri, Peter; Kundaje, Anshul; Nickerson, Deborah; Schoen, Robert; Hampe, Jochen; Stadler, Zsofia; Vodicka, Pavel; Vodickova, Ludmila; Vymetalkova, Veronika; Papadopoulos, Nickolas; Edlund, Chistopher; Gauderman, William; Thomas, Duncan; Shibata, David; Toland, Amanda; Markowitz, Sanford; Kim, Andre; Chanock, Stephen; van Duijnhoven, Franzel; Feskens, Edith; Sakoda, Lori; Gago-Dominguez, Manuela; Wolk, Alicja; Naccarati, Alessio; Pardini, Barbara; FitzGerald, Liesel; Lee, Soo Chin; Ogino, Shuji; Bien, Stephanie; Kooperberg, Charles; Li, Christopher; Lin, Yi; Prentice, Ross; Qu, Conghui; Bézieau, Stéphane; Tangen, Catherine; Mardis, Elaine; Yamaji, Taiki; Sawada, Norie; Iwasaki, Motoki; Haiman, Christopher; Le Marchand, Loic; Wu, Anna; Qu, Chenxu; McNeil, Caroline; Coetzee, Gerhard; Hayward, Caroline; Deary, Ian; Harris, Sarah; Theodoratou, Evropi; Reid, Stuart; Walker, Marion; Ooi, Li Yin; Moreno, Victor; Casey, Graham; Gruber, Stephen; Tomlinson, Ian; Zheng, Wei; Dunlop, Malcolm; Houlston, Richard; Peters, Ulrike
Colorectal cancer (CRC) is a leading cause of mortality worldwide. We conducted a genome-wide association study meta-analysis of 100,204 CRC cases and 154,587 controls of European and east Asian ancestry, identifying 205 independent risk associations, of which 50 were unreported. We performed integrative genomic, transcriptomic and methylomic analyses across large bowel mucosa and other tissues. Transcriptome- and methylome-wide association studies revealed an additional 53 risk associations. We identified 155 high-confidence effector genes functionally linked to CRC risk, many of which had no previously established role in CRC. These have multiple different functions and specifically indicate that variation in normal colorectal homeostasis, proliferation, cell adhesion, migration, immunity and microbial interactions determines CRC risk. Crosstissue analyses indicated that over a third of effector genes most probably act outside the colonic mucosa. Our findings provide insights into colorectal oncogenesis and highlight potential targets across tissues for new CRC treatment and chemoprevention strategies.
PMID: 36539618
ISSN: 1546-1718
CID: 5394972

Grain, Gluten, and Dietary Fiber Intake Influence Gut Microbial Diversity: Data from the Food and Microbiome Longitudinal Investigation

Um, Caroline Y; Peters, Brandilyn A; Choi, Hee Sun; Oberstein, Paul; Beggs, Dia B; Usyk, Mykhaylo; Wu, Feng; Hayes, Richard B; Gapstur, Susan M; McCullough, Marjorie L; Ahn, Jiyoung
UNLABELLED:< 0.05). These findings suggest that whole grain and dietary fiber are associated with overall gut microbiome structure, largely fiber-fermenting microbiota. Higher refined grain and gluten intakes may be associated with lower microbial diversity. SIGNIFICANCE:Regular consumption of whole grains and dietary fiber was associated with greater abundance of gut bacteria that may lower risk of colorectal cancer. Further research on the association of refined grains and gluten with gut microbial composition is needed to understand their roles in health and disease.
PMCID:10035461
PMID: 36968219
ISSN: 2767-9764
CID: 5594522

Elevated dietary carbohydrate and glycemic intake associate with an altered oral microbial ecosystem in two large U.S. cohorts

Monson, Kelsey R; Peters, Brandilyn A; Usyk, Mykhaylo; Um, Caroline Y; Oberstein, Paul E; McCullough, Marjorie L; Purdue, Mark P; Freedman, Neal D; Hayes, Richard B; Ahn, Jiyoung
The human oral microbiome is associated with chronic diseases including cancer. However, our understanding of its relationship with diet is limited. We assessed the associations between carbohydrate and glycemic index (GI) with oral microbiome composition in 834 non-diabetic subjects from the NCI-PLCO and ACS-CPSII cohorts. The oral microbiome was characterized using 16Sv3-4 rRNA-sequencing from oral mouthwash samples. Daily carbohydrate and GI were assessed from food frequency questionnaires. We used linear regression, permutational MANOVA, and negative binomial Generalized Linear Models (GLM) to test associations of diet with α- and β-diversity and taxon abundance (adjusting for age, sex, cohort, BMI, smoking, caloric intake, and alcohol). A q-value (FDR-adjusted P-value) of <0.05 was considered significant. Oral bacterial α-diversity trended higher in participants in the highest quintiles of carbohydrate intake, with marginally increased richness and Shannon diversity (p-trend=0.06 and 0.07). Greater carbohydrate intake was associated with greater abundance of class Fusobacteriia (q=0.02) and genus Leptotrichia (q=0.01) and with lesser abundance of an Actinomyces OTU (q=4.7E-04). Higher GI was significantly related to greater abundance of genus Gemella (q=0.001). This large, nationwide study provides evidence that diets high in carbohydrates and GI may influence the oral microbiome.
PMCID:9770587
PMID: 36567732
ISSN: 2767-9764
CID: 5592052

Interactions between folate intake and genetic predictors of gene expression levels associated with colorectal cancer risk

Haas, Cameron B; Su, Yu-Ru; Petersen, Paneen; Wang, Xiaoliang; Bien, Stephanie A; Lin, Yi; Albanes, Demetrius; Weinstein, Stephanie J; Jenkins, Mark A; Figueiredo, Jane C; Newcomb, Polly A; Casey, Graham; Le Marchand, Loic; Campbell, Peter T; Moreno, Victor; Potter, John D; Sakoda, Lori C; Slattery, Martha L; Chan, Andrew T; Li, Li; Giles, Graham G; Milne, Roger L; Gruber, Stephen B; Rennert, Gad; Woods, Michael O; Gallinger, Steven J; Berndt, Sonja; Hayes, Richard B; Huang, Wen-Yi; Wolk, Alicja; White, Emily; Nan, Hongmei; Nassir, Rami; Lindor, Noralane M; Lewinger, Juan P; Kim, Andre E; Conti, David; Gauderman, W James; Buchanan, Daniel D; Peters, Ulrike; Hsu, Li
Observational studies have shown higher folate consumption to be associated with lower risk of colorectal cancer (CRC). Understanding whether and how genetic risk factors interact with folate could further elucidate the underlying mechanism. Aggregating functionally relevant genetic variants in set-based variant testing has higher power to detect gene-environment (G × E) interactions and may provide information on the underlying biological pathway. We investigated interactions between folate consumption and predicted gene expression on colorectal cancer risk across the genome. We used variant weights from the PrediXcan models of colon tissue-specific gene expression as a priori variant information for a set-based G × E approach. We harmonized total folate intake (mcg/day) based on dietary intake and supplemental use across cohort and case-control studies and calculated sex and study specific quantiles. Analyses were performed using a mixed effects score tests for interactions between folate and genetically predicted expression of 4839 genes with available genetically predicted expression. We pooled results across 23 studies for a total of 13,498 cases with colorectal tumors and 13,918 controls of European ancestry. We used a false discovery rate of 0.2 to identify genes with suggestive evidence of an interaction. We found suggestive evidence of interaction with folate intake on CRC risk for genes including glutathione S-Transferase Alpha 1 (GSTA1; p = 4.3E-4), Tonsuko Like, DNA Repair Protein (TONSL; p = 4.3E-4), and Aspartylglucosaminidase (AGA: p = 4.5E-4). We identified three genes involved in preventing or repairing DNA damage that may interact with folate consumption to alter CRC risk. Glutathione is an antioxidant, preventing cellular damage and is a downstream metabolite of homocysteine and metabolized by GSTA1. TONSL is part of a complex that functions in the recovery of double strand breaks and AGA plays a role in lysosomal breakdown of glycoprotein.
PMID: 36344807
ISSN: 2045-2322
CID: 5357132

The lung microbiome, peripheral gene expression, and recurrence-free survival after resection of stage II non-small cell lung cancer

Peters, Brandilyn A; Pass, Harvey I; Burk, Robert D; Xue, Xiaonan; Goparaju, Chandra; Sollecito, Christopher C; Grassi, Evan; Segal, Leopoldo N; Tsay, Jun-Chieh J; Hayes, Richard B; Ahn, Jiyoung
BACKGROUND:Cancer recurrence after tumor resection in early-stage non-small cell lung cancer (NSCLC) is common, yet difficult to predict. The lung microbiota and systemic immunity may be important modulators of risk for lung cancer recurrence, yet biomarkers from the lung microbiome and peripheral immune environment are understudied. Such markers may hold promise for prediction as well as improved etiologic understanding of lung cancer recurrence. METHODS:In tumor and distant normal lung samples from 46 stage II NSCLC patients with curative resection (39 tumor samples, 41 normal lung samples), we conducted 16S rRNA gene sequencing. We also measured peripheral blood immune gene expression with nanoString®. We examined associations of lung microbiota and peripheral gene expression with recurrence-free survival (RFS) and disease-free survival (DFS) using 500 × 10-fold cross-validated elastic-net penalized Cox regression, and examined predictive accuracy using time-dependent receiver operating characteristic (ROC) curves. RESULTS:Over a median of 4.8 years of follow-up (range 0.2-12.2 years), 43% of patients experienced a recurrence, and 50% died. In normal lung tissue, a higher abundance of classes Bacteroidia and Clostridia, and orders Bacteroidales and Clostridiales, were associated with worse RFS, while a higher abundance of classes Alphaproteobacteria and Betaproteobacteria, and orders Burkholderiales and Neisseriales, were associated with better RFS. In tumor tissue, a higher abundance of orders Actinomycetales and Pseudomonadales were associated with worse DFS. Among these taxa, normal lung Clostridiales and Bacteroidales were also related to worse survival in a previous small pilot study and an additional independent validation cohort. In peripheral blood, higher expression of genes TAP1, TAPBP, CSF2RB, and IFITM2 were associated with better DFS. Analysis of ROC curves revealed that lung microbiome and peripheral gene expression biomarkers provided significant additional recurrence risk discrimination over standard demographic and clinical covariates, with microbiome biomarkers contributing more to short-term (1-year) prediction and gene biomarkers contributing to longer-term (2-5-year) prediction. CONCLUSIONS:We identified compelling biomarkers in under-explored data types, the lung microbiome, and peripheral blood gene expression, which may improve risk prediction of recurrence in early-stage NSCLC patients. These findings will require validation in a larger cohort.
PMCID:9609265
PMID: 36303210
ISSN: 1756-994x
CID: 5358192

Alu retroelement copy number and lung cancer risk in the prospective Prostate, Lung, Colorectal and Ovarian Cancer (PLCO) Screening Trial

Wong, Jason Y Y; Cawthon, Richard; Hu, Wei; Ezennia, Somayina; Gadalla, Shahinaz M; Breeze, Charles; Blechter, Batel; Freedman, Neal D; Huang, Wen-Yi; Hosgood, H Dean; Seow, Wei Jie; Bassig, Bryan A; Rahman, Mohammad; Hayes, Richard B; Rothman, Nathaniel; Lan, Qing
PMID: 35609672
ISSN: 1931-3543
CID: 5247942

Tooth count, untreated caries and mortality in US adults: a population-based cohort study

Liu, Jie; Zong, Xiaoyu; Vogtmann, Emily; Cao, Chao; James, Aimee S; Chan, Andrew T; Rimm, Eric B; Hayes, Richard B; Colditz, Graham A; Michaud, Dominique S; Joshipura, Kaumudi J; Abnet, Christian C; Cao, Yin
BACKGROUND:The link between oral diseases and mortality remains under-explored. We aimed to evaluate the associations between tooth count, untreated caries and risk of all-cause and cause-specific mortality. METHODS:Data on 24 029 adults from the National Health and Nutrition Examination Survey 1988-94/1999-2010, with mortality linkage to the National Death Index to 31 December 2015, were analysed. Baseline total number of permanent teeth and any untreated caries were assessed by trained dental professionals. RESULTS:During up to 27 years of follow-up, 5270 deaths occurred. Fewer permanent teeth were associated with higher all-cause mortality, including heart disease and cancer mortality (all P <0.05 for trend) but not cerebrovascular disease mortality. For every 10 teeth missing, the multivariable-adjusted hazard ratios (HRs) were 1.13 (95% CI: 1.08 to 1.18) for all-cause, 1.16 (95% CI: 1.05, 1.29) for heart disease and 1.19 (95% CI: 1.09, 1.29) for cancer mortality. Untreated caries was associated with increased all-cause (HR: 1.26, 95% CI: 1.15, 1.39) and heart disease mortality (HR: 1.48, 95% CI: 1.17, 1.88) but not cerebrovascular disease/cancer mortality, after adjusting for tooth count, periodontitis and sociodemographic/lifestyle factors. Compared with those without untreated caries and with 25-28 teeth, individuals with untreated caries and 1-16 teeth had a 53% increased risk of all-cause mortality (HR: 1.53, 95% CI: 1.27, 1.85) and 96 % increased risk of heart disease mortality (HR: 1.96, 95% CI: 1.28, 3.01). CONCLUSIONS:In nationally representative cohorts, fewer permanent teeth and untreated caries were associated with all-cause and heart disease mortality. Fewer teeth were also associated with higher cancer mortality.
PMID: 35388877
ISSN: 1464-3685
CID: 5204972