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158 citation(s) found for "Marchand, Loı̈c Le".

Food-based enteral formulas in pediatric clinical practice: an expert opinion
O’Connor, Graeme , Diamanti, Antonella , Trovato, Chiara Maria , Romano, Claudio , Minor, Gerard J. , Letellier, Guy , Huysentruyt, Koen , Epp, Lisa , Tobberup, Randi , Durnan, Sarah , Marchand, Valerie , Epp, Lisa M , Dipasquale, Valeria , Marchand, Valerie , Gottrand, Frederic , Gottrand, Frédèric

Mayo Clinic

Expert Review of Gastroenterology & Hepatology | September 10, 2026 | Volume: No volume available | Issue: No issue available | Pages: 1-16

10.1080/17474124.2026.2726787 | PMID 42720678 Get It

PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups
Levi, Hagai, Wang, Qin, Bolla, Manjeet K. , Dennis, Joe, Andrulis, Irene L., Antonenkova, Natalia, Au, Chun Hang, Freeman, Laura E. Beane, Bermisheva, Marina, Bodelon, Clara, Bojesen, Stig E., Brenner, Hermann, Brock, Ian W., Brüning, Thomas, Byers, Helen, Camp, Nicola J., Castelao, Jose E., Choi, Ji-Yeob, Chung, Wendy K., Collaborators, NBCS, Colonna, Sarah, Couch, Fergus J., Daly, Mary B., Devilee, Peter, Dörk, Thilo, Eliassen, A. Heather, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Faw, Kierstin, García-Closas, Montserrat, Haiman, Christopher A., Hamann, Ute, Hartman, Mikael, Hooning, Maartje J., Hoppe, Reiner , Howell, Sacha J., Investigators, ABCTB, Investigators, SGBCC, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Jernström, Helena, Joseph, Vijai, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K., Kiprijanovska, Sanja , Koutros, Stella, Kristensen, Vessela N., Kurian, Allison W., Kwong, Ava, Lambrechts, Diether, Larson, Nicole L. , Marchand, Loic Le, Li, Shuai, Li, Jingmei, Lophatananon, Artitaya, Mannermaa, Arto, Matsuo, Keitaro, Maxwell, Whitney, Muir, Kenneth, Nevelsteen, Ines, Obi, Nadia, O’Brien, Katie M., Ofit, Kenneth, Ottewell, Penelope D., Patel, Alpa V., Plaseska-Karanfilska, Dijana, Prajzendanc, Karolina , Ramachandran, Dhanya, Rashid, Muhammad U., Saloustros, Emmanouil, Sandler, Dale P., Schöttker, Ben, Simard, Jacques, Southey, Melissa C., Stone, Jennifer, Teras, Lauren R., Truong, Thérèse, Weinberg, Clarice R., Yamaji, Taiki , Zheng, Wei, Easton, Douglas F., Elkon, Ran , Lambrechts, Diether , Lambrechts, Diether , Kurian, Allison W. , Li, Shuai , Lambrechts, Diether , Lambrechts, Diether , Kurian, Allison W , Li, Shuai , Levi, Hagai , Au, Chun , Augustinsson, Annelie , Freeman, Laura E. Beane , Behrens, Sabine , Bermisheva, Marina , Bodelón, Clara , Bogdanova, Natalia , Brenner, Hermann , Brock, Ian W., Brüning, Thomas , Byers, Helen, Camp, Nicola J. , Castelao, Jose E. , Choi, Ji-Yeob , Chung, Wendy K. , Colonna, Sarah V. , Couch, Fergus J. , Czene, Kamila , Daly, Mary B., Devilee, Peter , Dörk, Thilo, Evans, D. Gareth , Fasching, Peter A., Faw, Kierstin, Gago-Domínguez, Manuela , García‐Closas, Montserrat , Haiman, Christopher A. , Hartman, Mikael , Ho, Vikki , Ho, Peh Joo , Hooning, Maartje J. , Investigators, S On Behalf Of The Chlovis Study, Iwasaki, Motoki , Jakubowska, Anna, Jernström, Helena , Joseph, Vijai, Kaaks, Rudolf , Хуснутдинова, Э. К. , Koutros, Stella , Kristensen, Vessela N., Kwong, Ava , Marchand, Loı̈c Le , Li, Jingmei, Lophatananon, Artitaya , Mannermaa, Arto , Nevelsteen, Ines , Obi, Nadia , O’Brien, Katie M. , Ottewell, Penelope Dawn , Peterlongo, Paolo , Plaseska‐Karanfilska, Dijana , Radice, Paolo , Ramachandran, Dhanya , Romero, Atocha , Saloustros, Emmanouil , Sandler, Dale P. , Schöttker, Ben , Simard, Jacques , Southey, Melissa C. , Sugier, Pierre‐Emmanuel , Taylor, Jack A. , Teras, Lauren R. , Truong, Thérèse , Weinberg, Clarice R. , Yadav, Siddhartha , Dunning, Alison M. , Mavaddat, Nasim , Easton, Douglas F. , Michailidou, Kyriaki , Shamir, Ron

Mayo Clinic

No container title available | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.12.26357860 | PMID 42523604 Get It

Abstract Polygenic risk scores (PRSs), which quantify inherited susceptibility to complex traits and diseases, have emerged as valuable tools for risk stratification and precision medicine. Despite their promise, PRS developed on European cohorts often demonstrate substantially reduced predictive accuracy in non-European populations, due to differences in genetic architecture. The disproportionate representation of European ancestry cohorts in genome-wide association studies (GWAS) leads to inequitable deployment of PRS technologies across diverse populations. Here, we introduce PRANA (Polygenic Risk Adaptation via Neural-network Architecture), a deep learning framework that adapts an existing PRS developed on one population to other ancestries. Unlike methods that require large-scale GWAS in the target population, PRANA leverages pre-trained PRS models derived from European cohorts and adapts them using modestly sized cohorts from the target population. We evaluated PRANA on seven complex traits in South Asian, East Asian and Ashkenazi Jewish populations, as well as in selected smaller East Asian subpopulations where the scarcity of training data poses a particular challenge. PRANA mostly improved predictive performance of the baseline PRS models by 5%-20% in terms of effect size (β) and Nagelkerke’s R², and, in most cases, outperformed existing cross-ancestry multi-PRS approaches. These results highlight PRANA as a scalable and practical strategy to reduce disparities in genomic risk prediction and advance the equitable application of PRS in diverse populations.
Dual versus single implant fixation for geriatric distal femur fractures: protocol for a randomised, controlled pilot study at five US level 1 trauma centres
Haller, Justin, Achebe, Chukwuebuka C. , Oman, Garret, Konda, Sanjit, Garner, Matthew, Yuan, Brandon, Marchand, Lucas S , Haller, Justin M. , Konda, Sanjit R. , Yuan, Brandon, Dekeyser, Graham John

Mayo Clinic

BMJ Open | May 26, 2026 | Volume: 16 | Issue: 5 | Pages: e113559

10.1136/bmjopen-2025-113559 | PMID 42191186 Get It

Introduction Geriatric distal femur fractures are associated with mortality rates exceeding 20%, comparable to hip fractures. Traditional single implant fixation often requires weight-bearing restrictions that delay recovery. This pilot study aims to assess the feasibility of conducting a multicentre randomised controlled trial comparing dual vs single implant fixation for geriatric distal femur fractures. Methods and analysis This multicentre, prospective, randomised controlled pilot trial will enrol 80 participants aged 60 years or older with displaced distal femur fractures at five US level 1 trauma centres. Patients will be randomly allocated 1:1 to receive either single implant (lateral plate or retrograde nail) or dual implant (nail-plate or dual plate) fixation. All patients will be permitted immediate weight-bearing. The primary outcome is feasibility assessed through enrolment rate (80 patients in 12 months), protocol adherence (≥90%) and follow-up retention (≥85% at 12 months). Secondary outcomes include post-surgical mobility (AM-PAC, TUG), patient-reported outcomes (PROMIS-PF, PROMIS-29), mortality (90-day and 1 year) and complication rates. Analyses will be on an intention-to-treat basis. Ethics and dissemination The protocol was approved by the University of Utah Institutional Review Board (IRB_00149119) and IRBs at all participating centres. Written informed consent will be obtained from participants or legally authorised representatives. Findings will be disseminated through peer-reviewed publications and conference presentations. Trial registration number NCT05292313 .
Different diabetes types and pancreatic ductal adenocarcinoma: a Mendelian randomization and pathway/gene-set analysis
Zhang, Ting , Mohindroo, Chirayu , Wang, Xiaoyu , Dutta, Diptavo , Liu, Jia , Katta, Shilpa, Li, Shengchao A. , Wang, Jiahui , Antwi, Samuel O. , Bracci, Paige M. , Du, Mengmeng, Gallinger, Steven , Goodman, Phyllis J. , Katzke, Verena, Patel, Alpa V. , Visvanathan, Kala , Andreotti, Gabriella , Brennan, Paul , Buring, Julie E. , Chanock, Stephen J., Chen, Yu , Giovannucci, Edward L. , Haiman, Christopher A. , Hassan, Manal M. , Holly, Elizabeth A., Jones, Miranda R. , Kraft, Peter, Kurtz, Robert C. , Ng, Kimmie , Oberg, Ann L. , Peters, Ulrike , Rabe, Kari G. , Rothman, Nathaniel , Sesso, Howard D. , Yuan, Chen, Wolpin, Brian M. , Yu, Kai , Stolzenberg‐Solomon, Rachael Z. , Mohindroo, Chirayu , Wang, Xiaoyu , Dutta, Diptavo , Liu, Jia , Li, Shengchao A , Antwi, Samuel O , Arslan, Alan A , Beane Freeman, Laura E , Canzian, Federico , Du, Mengmeng , Goodman, Phyllis J , Katzke, Verena , Kooperberg, Charles , Marchand, Loïc Le , Neale, Rachel E , Perdomo, Sandra , Shu, Xiao-Ou , Visvanathan, Kala , Van Den Eeden, Stephen K , White, Emily E. , Zheng, Wei , Albanes, Demetrius , Andreotti, Gabriella , Brennan, Paul , Buring, Julie E , Chanock, Stephen Jacob , Chen, Yu , Darst, Burcu F , Ferrari, Pietro , Giovannucci, Edward L , Goggins, Michael G , Haiman, Christopher A , Hassan, Manal M , Hung, Rayjean J , Jones, Miranda R , Kraft, Peter , Malats, Nuria , Moore, Steven C , Ng, Kimmie , Oberg, Ann L , Orlow, Irene , Peters, Ulrike , Porta, Miquel , Chaffee, Kari G. , Sánchez, Maria-Jose , Sesso, Howard D , Southey, Melissa C , Um, Caroline Y , Yarmolinsky, James , Yu, Herbert , Yuan, Chen , Zhong, Jun , Wolpin, Brian M , Risch, Harvey A , Amundadottir, Laufey , Klein, Alison P , Yu, Kai , Zhang, Haoyu , Stolzenberg-Solomon, Rachael , Zhang, Ting , Hua, Xing , Arslan, Alan A. , Freeman, Laura E. Beane , Canzian, Federico , Kooperberg, Charles , Marchand, Loı̈c Le , Neale, Rachel Ε. , Zheng, Wei , Albanes, Demetrius , Bamlet, William R. , Darst, Burcu F. , Goggins, Michael , Hung, Rayjean J. , Malats, Núria , Moore, Steven C. , Orlow, Irene , Porta, Miquel , Sánchez, María‐José , Silverman, Debra T. , Southey, Melissa C. , Um, Caroline Y. , Yu, Kai , Risch, Harvey A. , Ámundadóttir, Laufey T. , Klein, Alison P.

Mayo Clinic

JNCI: Journal of the National Cancer Institute | November 8, 2025 | Volume: 118 | Issue: 3 | Pages: 437-447

10.1093/jnci/djaf308 | PMID 41206949 Get It

Abstract Background The associations between different types of diabetes, characterized by distinct pathophysiology and genetic architecture, and pancreatic ductal adenocarcinoma (PDAC) risk are not understood. Methods We investigated associations of genetic susceptibility to type 2 diabetes (T2D), 8 T2D mechanistic clusters, type 1 diabetes (T1D), and maturity-onset diabetes of the young (MODY) with PDAC risk. We used genome-wide association study (GWAS) summary-level statistics for T2D (242 283 cases, 1 569 734 controls), T1D (18 942 cases, 501 638 controls), and PDAC (10 244 cases and 360 535 controls) in individuals of European ancestry. Results Two-sample Mendelian randomization (MR) using the Robust Adjusted Profile Score (MR-RAPS) method indicated that genetically predicted T2D was associated with PDAC risk (OR = 1.10; 95% CI = 1.05 to 1.15), particularly the T2D obesity (OR = 1.28; 95% CI = 1.15 to 1.42) and lipodystrophy (OR = 1.25; 95% CI = 1.03 to 1.51) clusters. No association was observed for T1D with PDAC risk (OR = 1.01; 95% CI = 0.99 to 1.02). Pathway/gene-set analysis using the summary-based Adaptive Rank Truncated Product (sARTP) method revealed a significant association between the MODY gene-sets and PDAC risk (P = 1.5 × 10−8), which remained after excluding 20 known PDAC GWAS loci (P = 7.6 × 10−4). HNF1A, FOXA3, and HNF4A were the top contributing genes after excluding the previously identified GWAS loci regions. Conclusions Our results from this genetic association study support that T2D, particularly the obesity and lipodystrophy mechanistic clusters, and MODY genomic susceptibility regions play a role in the etiology of PDAC.
Stratifying lung adenocarcinoma risk with multi-ancestry polygenic risk scores in East Asian never-smokers
Blechter, Batel , Wang, Xiaoyu , Karsonaki, Christiana, Shi, Jianxin , Shiraishi, Kouya , Choi, Jiyeon , Matsuo, Keitaro , Chen, Tzu‐Yu , Kim, Young Tae , Choudhury, Parichoy Pal , Williams, Jacob , Landi, Maria Teresa , Yin, Zhihua , Zhou, Baosen , Seow, Wei Jie , Song, Lei , Chang, I‐Shou , Chien, Li-Hsin , Wong, Maria Pik , Richardson, Brian Douglas , Li, Shilan , Breeze, Charles E. , Bassig, Bryan A. , Sm, Jason Yy Wong, Chung, Lap Ping, Zhang, Xu‐Chao , Caporaso, Neil E. , Chang, Jiang , Ho, Jcm , Momozawa, Yukihide , Kobayashi, Masashi , Okubo, Kenichi , Honda, Takayuki , Kunitoh, Hideo , Watanabe, Shun-ichi, Hamamoto, Ryuji , Goto, Kōichi , Minamiya, Yoshihiro, Wakai, Kenji , Murakami, Yoshinori , Shimizu, Kimihiro , Suzuki, Hiroyuki , Ohtaki, Yoichi , Tanaka, Kazumi , Wu, Tangchun , Wei, Fusheng, Kim, Yeul Hong , Chang, Gee-Chen , Chen, Kuan‐Yu, Chen, Yuh-Min, Park, Jae Yong , Kweon, Sun-Seog, Gao, Yu‐Tang , Schwartz, Ann G. , Gorlov, Ivan , Wu, Xifeng , Yang, Ping , Lam, Stephen , Bojesen, Stig E. , Ji, Bu‐Tian , Wichmann, H. E., Christiani, D.C., Brennan, Paul , McKay, James , Field, John K. , Shete, Sanjay , Marchand, Loı̈c Le, Liu, Geoffrey , Andrew, Angeline S. , Zienolddiny-Narui, Shan, Grankvist, Kjell , Taylor, Fiona, Aldrich, Melinda C. , Jeon, Hyo‐Sung, Hu, Zhibin , Burdett, Laura, Yeager, Meredith, Hutchinson, Amy , Hicks, Belynda , Liu, Jia , Berndt, Sonja I, Wu, Wei , Wang, Junwen , Choi, Jin Eun , Park, Kyong Hwa , Sung, Sook Whan , Tan, Wen , Sihoe, Alan , Choi, Yi Young, Hung, Hsiao-Han , Vermeulen, Roel , Wu, Junjie , Tsai, Fang-Yu , Chan, John K. C., Li, Jihua , Lin, Hsien-Chih, Liu, Jie , Sawada, Norie , Yamaji, Taiki , Wyatt, Kathleen , Qi, T. Y., Li, Xuelian , Ren, Yangwu , Chao, Ann, Zhu, Junjie , Chen, Chih‐Yi , ScD, Chien-Jen Chen, Stevens, Victoria L. , Fraumeni, Joseph F., Lin, Kuang , Walters, Robin G., Chen, Zhengming, Chatterjee, Nilanjan , Gorlova, Olga Y. , Hsiung, Chao A. , Chanock, Stephen J, Rothman, Nathaniel , Kohno, Takashi , Lan, Qing, Kartsonaki, Christiana , Liu, Geoffrey , Field, John K , Matsuo, Keitaro , Wang, Junwen , Bojesen, Stig E , Grankvist, Kjell , Chen, Chih-Yi , Dai, Juncheng , Hung, Rayjean J. , Chen, Kexin , Shu, Xiao-Ou , Choudhury, Parichoy Pal , Lin, Dongxin , Zheng, Wei , Wang, Jiucun , Hu, Wei , Cai, Qiuyin , Hong, Yun‐Chul , Kim, Hee Nam , Wu, Yi-Long Lung Cancer , Richardson, Brian Douglas , Zhang, Tongwu , Wang, Zhaoming , Kim, Jin Hee , Albanes, Demetrius , Shin, Min‐Ho , Chung, Lap-Ping, Yang, Yang , Zheng, Hong , Dai, Hong , Yatabe, Yasushi , Kim, Young‐Chul , Daigo, Yataro , Kamatani, Yoichiro , Kobayashi, Masashi , Hosgood, Howard Dean , WATANABE, Shun-ichi J. , Miyagi, Yohei , Matsumoto, Shingo , Horinouchi, Hidehito , Tsuboi, Masahiro , Takahashi, Atsushi , Goto, Akiteru , Hara, Megumi , Nishida, Yuichiro , Takeuchi, Kenji , Matsuda, Koichi , Murakami, Yoshinori, Suzuki, Hiroyuki , Saito, Motonobu , Machiela, Mitchell J. , Oh, In‐Jae , Lee, Victor , Su, Wu‐Chou , Seow, Adeline , Kweon, Sun-Seog , Liu, Jianjun , Houlston, Richard S. , Tardón, Adonina , Chen, Chu, Johansson, Mattias , Risch, Angela , Bickeböller, Heike , Rennert, Gad , Arnold, Susanne M. , Davies, Michael P.A. , Kiemeney, Lambertus A. , Cox, Angela , Yuan, Jian-Min , Lazarus, Philip J. , Schabath, Matthew B. , Jiang, Shih Sheng , Chen, Chung–Hsing , Hsiao, Chin‐Fu , Yeager, Meredith , Liu, Jia , Berndt, Sonja I. , Li, Yuqing , Kang, Chang Hyun , Wang, Wen‐Chang , Xu, Jun, Guan, Peng , Yu, Chong‐Jen , Yang, Gong , Park, In Kyu , Cheng, Iona C. , Song, Bao, Wyatt, Kathleen , Ma, Hongxia , Zhu, Meng , Wang, Yifan , Qi, Tianchen, Iwasaki, Motoki , Wu, Guoping , Yang, Pan‐Chyr , Walters, Robin G. , Chatterjee, Nilanjan , Amos, Christopher I. , Shen, Hongbing , Rothman, Nathaniel , Lan, Qing , Zhang, Haoyu

Mayo Clinic

JNCI: Journal of the National Cancer Institute | September 18, 2025 | Volume: 118 | Issue: 2 | Pages: 231-249

10.1093/jnci/djaf272 | PMID 41032288 Get It

Abstract Background Lung adenocarcinoma in never-smokers is a major public health burden, especially among East Asian women. Polygenic risk scores (PRSs) are promising for risk stratification but are primarily developed in European-ancestry populations. We aimed to develop and validate single- and multi-ancestry PRSs for East Asian never-smokers to improve lung adenocarcinoma risk prediction. Methods PRSs were developed using genome-wide association study summary statistics from East Asian (8002 cases; 20 782 controls) and European (2058 cases; 5575 controls) populations. Single-ancestry models included a PRS with 25 single nucleotide variants (PRS-25), PRS clumping and thresholding (CT), and LDpred2; multi-ancestry models included LDpred2 plus European PRS-128, PRS-CSx, and clumping and thresholding, super learning, empirical Bayes (CT-SLEB). Performance was evaluated in independent East Asian data from the Female Lung Cancer Consortium and externally validated in the Nanjing Lung Cancer Cohort. We assessed predictive accuracy via area under the curve operating procedure (AUC), with 10-year and (ages 30-80 years) absolute risks estimates. Results The best multi-ancestry PRS, using East Asian and European data via CT-SLEB, outperformed the best East Asian-only (LDpred2; AUC = 0.629, 95% confidence interval [CI] = 0.618 to 0.641), achieving an AUC of 0.640 (95% CI = 0.629 to 0.653) and odds ratio of 1.71 (95% CI = 1.61 to 1.82) per standard deviation increase. Nanjing Lung Cancer Cohort validation confirmed robust performance (AUC = 0.649, 95% CI = 0.623 to 0.676). The top 20% PRS group had a 3.92-fold higher lung adenocarcinoma risk than the bottom 20%. Further, the top 5% PRS group reached a 6.69% lifetime absolute risk. Notably, this group reached the average population 10-year lung adenocarcinoma risk at age 50 years (0.42%) by age 41 years, 9 years earlier. Conclusions Multi-ancestry PRS approaches enhance lung adenocarcinoma risk stratification in East Asian never-smokers, with consistent external validation, suggesting future clinical utility.
Genetic risk factors modulate the association between physical activity and colorectal cancer
Kim, Andre E., Fu, Yubo, Morrison, John, Lin, Yi, Berndt, Sonja, Chang-Claude, Jenny, Conti, David V., Corley, Douglas A. , Gruber, Stephen B. , Harlid, Sophia , Huyghe, Jeroen R. , Kundaje, Anshul , Martín, Vicente , Newton, Christina C. , Hardikar, Sheetal , Pai, Rish K. , Papadimitriou, Nikos , Pinchev, Mila, Schoen, Robert , Tsilidis, Konstantinos K, Duijnhoven, Franzel J. B. van, Visvanathan, Kala , Wolk, Alicja, Woods, Michael O. , Wu, Anna H. , Ulrich, Cornelia M. , Peters, Ulrike, Gauderman, W. James, Moreno, Victor, Martín, Vicente , Drew, David A. , Martín, Vicente , Drew, David A , Visvanathan, Kala , Kundaje, Anshul , Papadimitriou, Nikos , Peoples, Anita R , Obón‐Santacana, Mireia , Kawaguchi, Eric , Qu, Conghui , Moratalla-Navarro, Ferrán , Morrison, John, Arndt, Volker , Bien, Stephanie A. , Bishop, D. Timothy , Bouras, Emmanouil , Brenner, Hermann , Buchanan, Daniel D. , Campbell, Peter T. , Chan, Andrew T. , Chang‐Claude, Jenny , Conti, David V. , Devall, Matthew A M , Dimou, Niki , Gunter, Marc J. , Harrison, Tabitha A. , Hoffmeister, Michael , Hsu, Li , Keku, Temitope O , Lewinger, Juan Pablo , Lynch, Brigid M , Marchand, Loı̈c Le , Murphy, Neil , Ogino, Shuji , Ose, Jennifer , Palmer, Julie R. , Pardamean, Bens , Pellatt, Andrew J. , Platz, Elizabeth A. , Potter, John D. , Rennert, Gad , Ruiz-Narvaez, Edward , Sakoda, Lori C. , Schoen, Robert E., Shcherbina, Anna, Stern, Mariana Carla , Su, Yu-Ru , Thomas, Claire E. , Tian, Yu , Tsilidis, Konstantinos K. , Um, Caroline Y. , Guelpen, Bethany Van , Wang, Jun, White, Emily , Wolk, Alicja , Peters, Ulrike, Gauderman, W. James

Mayo Clinic

No container title available | September 2, 2025 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.21203/rs.3.rs-7350654/v1 | PMID 40951278 Get It

Abstract Background Physical activity (PA) is an established protective factor for colorectal cancer (CRC), but it is unclear if genetic variants modify this effect. To investigate this possibility, we conducted a genome-wide gene–PA interaction analysis. Methods Using logistic regression and two-step and joint tests, we analyzed interactions between common genetic variants across the genome and PA in relation to CRC risk. Self-reported PA levels were categorized as active (≥ 8.75 MET-h/wk) vs. inactive (< 8.75 MET-h/wk) and as study- and sex-specific quartiles of activity. Results PA had an overall protective effect on CRC (OR [active vs. inactive] = 0.85; 95%CI = 0.81–0.90). The two-step GxE method identified an interaction between rs4779584, an intergenic variant near the GREM1 and SCG5 genes, and PA for CRC risk (p-interaction = 2.6×10 − 8 ). Stratification by genotype at this locus showed a significant reduction in CRC risk by 20% in active vs. inactive participants with the CC genotype (OR = 0.80; 95%CI = 0.75–0.85), but no significant PA–CRC association among CT or TT carriers. When PA was modeled as quartiles, the 1-d.f. GxE test identified that rs56906466, an intergenic variant near the KCNG1 gene, modified the association between PA and CRC (p-interaction = 3.5×10 − 8 ). Stratification at this locus showed that increase in PA (highest vs. lowest quartile) was associated with a lower CRC risk solely among TT carriers (OR = 0.77; 95%CI = 0.72–0.82). Conclusions In summary, we identified two genetic variants that modified the association between PA and CRC risk. One of them, related to GREM1 and SCG5 , suggests that the bone morphogenetic protein (BMP)-related, inflammatory, and/or insulin signaling pathways may be associated with the protective influence of PA on colorectal carcinogenesis.
Menopausal hormone therapy: assessing associations with breast and colorectal cancers by familial risk
Milne, Roger L. , John, Esther M. , Andrulis, Irene L., Colonna, Sarah V. , Phillips, Kelly‐Anne , Investigators, kConFab, Marchand, Loı̈c Le , Phipps, Amanda I. , Schmit, Stephanie L. , Gallinger, Steven , Pai, Rish K. , Samadder, N. Jewel , Thorne, Heather , Maclnnis, Robert , Jenkins, Mark A , Milne, Roger L , John, Esther M , Andrulis, Irene L , Colonna, Sarah V , Phillips, Kelly-Anne , Marchand, Loïc Le , Schmit, Stephanie L , Macrae, Finlay A , Buchanan, Daniel D , Gallinger, Steven , Pai, R K , Samadder, N Jewel , Giles, Graham G , Southey, Melissa C , Hopper, John L. , Terry, Mary Beth , MacInnis, Robert J. , Jenkins, Mark A. , Daly, Mary Beryl , Investigators, kConFab, Newcomb, Polly A. , Macrae, Finlay , Buchanan, Daniel D. , Giles, Graham G. , Southey, Melissa C. , Hopper, John L. , Terry, Mary Beth

Mayo Clinic

JNCI Cancer Spectrum | December 14, 2024 | Volume: 9 | Issue: 1 | Pages: No page available

10.1093/jncics/pkae121 | PMID 39673461 Get It

Abstract Menopausal users of hormone replacement therapy (HRT) are at increased breast cancer risk and decreased colorectal cancer (CRC) risk compared with individuals who have never used HRT, but these opposing associations may differ by familial risk of breast cancer and CRC. We harmonized data from 3 cohorts and generated separate breast cancer and CRC familial risk scores based on cancer family history. We defined moderate or strong family history as a risk score of 0.4 or higher, where 0.4 was equivalent to a 50-year-old woman with 1 parent diagnosed with either breast cancer or CRC at 55 years of age. Of 24 486 women assessed, 1243 and 405 were diagnosed with incident breast cancer and CRC, respectively. For breast cancer, menopausal HRT ever use versus never use hazard ratios were 1.27 (95% CI = 1.11 to 1.45) for a breast cancer familial risk score below 0.4 and 1.01 (95% CI = 0.82 to 1.25) for a breast cancer familial risk score of 0.4 or higher (Pdifference = .08). For CRC, menopausal HRT hazard ratios were 0.63 (95% CI = 0.50 to 0.78) for a CRC familial risk score below 0.4 and 1.21 (95% CI = 0.73 to 2.00) for a CRC familial risk score of 0.4 or higher (Pdifference = .03). Associations with menopausal HRT use that apply to the general population may not hold for women at moderate or strong familial risk of these cancers.
Body mass index at birth and early life and colorectal cancer: A two‐sample Mendelian randomization analysis in European and East Asian genetic similarity populations
Papadimitriou, Nikos , Jenab, Mazda, Moreno, Victor, Platz, Elizabeth A., Duijnhoven, Fränzel J.B. van , Pai, Rish K. , Phipps, Amanda I. , Peters, Ulrike , Hughes, David J , Papadimitriou, Nikos , Murphy, Neil , Chen, Zhishan , Brenner, Hermann , Kweon, Sun-Seog , Marchand, Loı̈c Le , Platz, Elizabeth A. , Cheng, Iona C. , Zheng, Wei , Hughes, David J.

Mayo Clinic

Pediatric Obesity | November 26, 2024 | Volume: 20 | Issue: 1 | Pages: No page available

10.1111/ijpo.13186 | PMID 39587448 Get It

SummaryBackgroundVarying obesogenic inherited predisposition in early to later life may differentially impact colorectal cancer (CRC) development. Previous Mendelian randomization (MR) studies, conducted in populations of European genetic similarity, have not observed any significant associations between early life body weight with CRC risk. However, it remains unclear whether body mass index (BMI) at different early lifetime points is causally related with CRC risk in both Europeans and East Asian populations.ObjectivesWe conducted a two‐sample MR study to investigate potential causal relationships between genetically predicted BMI during early life (birth to 8 years old) and at specific periods (birth, transient, early rise and late rise) and CRC risk.MethodsSummary data were obtained from genome‐wide association study (GWAS) of BMI in 28 681 children from the Norwegian Mother, Father and Child Cohort Study (MoBa) study and applied to CRC GWAS data from European and East Asian descent populations (102 893 cases and 485 083 non‐cases).ResultsThere were no significant associations observed between early life BMI and CRC risk in European or East Asian populations. The effect estimates were similar in European studies (odds ratio [OR] per a 1‐standard deviation [SD] increase: 1.01, 95% confidence interval [CI]: 0.95, 1.07) and in East Asians (OR per a 1‐SD increase: 1.02, 95% CI: 0.91, 1.14). Similar nonsignificant associations were found between time of BMI measurement during childhood and cancer‐site‐specific analyses.ConclusionsWe found little evidence of any associations between early life adiposity on later life CRC risk.
CXCL8 secreted by immature granulocytes inhibits WT hematopoiesis in chronic myelomonocytic leukemia
Deschamps, P , Wacheux, Margaux, Gosseye, Axel, Morabito, Margot, Pagès, Arnaud , Lyne, Anne-Marie , Alfaro, Alexia , Rameau, Philippe , Imanci, Aygun, Marchand, Valentine , Renneville, Aline , Patnaik, Mrinal M. , Lapierre, Valérie, Badaoui, Bouchra , Wagner‐Ballon, Orianne , Fenaux, Pierre , Étienne, Gabriel , Porteu, Françoise , Laplane, Lucie , Deschamps, Paul, Chelbi, Rabie , Berthon, Céline , Braun, Thorsten , Willekens, Christophe , Itzykson, Raphaël , Thépot, Sylvain , Elvira‐Matelot, Emilie , Droin, Nathalie , Perié, Leïla , Solary, Éric , Selimoglu‐Buet, Dorothée

Mayo Clinic

Journal of Clinical Investigation | November 14, 2024 | Volume: 134 | Issue: 22 | Pages: No page available

10.1172/jci180738 | PMID 39545419 Get It

Chronic myelomonocytic leukemia (CMML) is a severe myeloid malignancy with limited therapeutic options. Single-cell analysis of clonal architecture demonstrates early clonal dominance with few residual WT hematopoietic stem cells. Circulating myeloid cells of the leukemic clone and the cytokines they produce generate a deleterious inflammatory climate. Our hypothesis is that therapeutic control of the inflammatory component in CMML could contribute to stepping down disease progression. The present study explored the contribution of immature granulocytes (iGRANs) to CMML progression. iGRANs were detected and quantified in the peripheral blood of patients by spectral and conventional flow cytometry. Their accumulation was a potent and independent poor prognostic factor. These cells belong to the leukemic clone and behaved as myeloid-derived suppressor cells. Bulk and single-cell RNA-Seq revealed a proinflammatory status of iGRAN that secreted multiple cytokines of which CXCL8 was at the highest level. This cytokine inhibited the proliferation of WT but not CMML hematopoietic stem and progenitor cells (HSPCs) in which CXCL8 receptors were downregulated. CXCL8 receptor inhibitors and CXCL8 blockade restored WT HSPC proliferation, suggesting that relieving CXCL8 selective pressure on WT HSPCs is a potential strategy to slow CMML progression and restore some healthy hematopoiesis.
Plasma Ghrelin and Risks of Sex-Specific, Site-Specific, and Early-Onset Colorectal Cancer: A Mendelian Randomization Analysis
Hazelwood, Emma , Manzano, Catalina Lopez , Vincent, Emma E. , Albanes, Demetrius , Bishop, D. Timothy , Marchand, Loı̈c Le , Peters, Ulrike , Murphy, Gwen , Samadder, N. Jewel , Guelpen, Bethany Van , Papadimitriou, Nikos , Lopez Manzano, Catalina , Bishop, D Timothy , Marchand, Loïc Le , Ulrich, Cornelia M , Peters, Ulrike , Murphy, Gwen , Samadder, N Jewel , Anderson, Laura , Gunter, Marc J , Murphy, Neil , Van Guelpen, Bethany , Papadimitriou, Nikos , Vincent, Emma E , Albanes, Demetrius , Hazelwood, Emma , Ulrich, Cornelia M. , Anderson, Laura N. , Gunter, Marc J. , Murphy, Neil

Mayo Clinic

Cancer Epidemiology, Biomarkers & Prevention | October 3, 2024 | Volume: 33 | Issue: 12 | Pages: 1727-1732

10.1158/1055-9965.epi-24-0926 | PMID 39361354 Get It

Abstract Background: Epidemiological and laboratory-based studies have provided conflicting evidence for a role of ghrelin in colorectal cancer development. We conducted two-sample Mendelian randomization (MR) analyses to evaluate evidence for an association of circulating ghrelin and colorectal cancer risk overall and by sex, cancer subsite, and age at diagnosis. Methods: Genetic instruments proxying plasma total ghrelin levels were obtained from a recent genome-wide association study of 54,219 participants. Summary data for colorectal cancer risk were obtained from a recent meta-analysis of several genetic consortia (up to 73,673 cases and 86,854 controls). A two-sample MR approach and several sensitivity analyses were applied. Results: We found no evidence for an association of genetically predicted plasma total ghrelin levels and colorectal cancer risk (0.95, 95% confidence interval, 0.81–1.12; R2 of ghrelin genetic instruments: 4.6%), with similarly null results observed when stratified by sex, anatomical subsite, and for early-onset colorectal cancer. Conclusions: Our study suggests that plasma ghrelin levels are unlikely to have a causal relationship with overall, early-onset, and sex- and cancer subsite–stratified colorectal cancer risk. Impact: This large-scale analysis adds to the growing body of evidence that plasma total ghrelin levels are not associated with colorectal cancer risk.