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Circulating metabolite biomarkers associated with prostate cancer risk in Black Americans: findings from the Southern Community Cohort Study
Abstract Despite the importance of metabolic reprogramming in prostate cancer initiation and progression, little is known about metabolic features associated with prostate cancer risk among Black Americans. This nested case-control study included 195 incident prostate cancer cases and 379 matched controls, focusing on Black Americans from the Southern Community Cohort Study. Using pre-diagnostic plasma samples, a global, semi-quantitative metabolomics assay was conducted.
Multi-ancestry transcriptome-wide association studies uncover insights into breast cancer genetics and biology
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Abstract Genome-wide association studies (GWAS) have identified over 200 genetic risk loci for breast cancer, yet their target genes remain largely unknown. We conduct multi-ancestry transcriptome-wide association studies (TWAS) to discover potential breast cancer susceptibility genes.
By Jie Ping, Guochong Jia, Qiuyin Cai, Xingyi Guo, Jifeng Wang, Ran Tao, Bingshan Li, Joshua A. Bauer, Yuhan Xie, Stefan Ambs, Mollie E Barnard, Yu Chen, Ji-Yeob Choi, Yu-Tang Gao, Montserrat Garcia-Closas, Jian Gu, Jennifer Hu, Motoki Iwasaki, Esther M John, Sun-Seog Kweon, Christopher I Li, Koichi Matsuda, Keitaro Matsuo, Katherine L. Nathanson, Barbara Nemesure, Olufunmilayo I. Olopade, Tuya Pal, Sue K Park, Boyoung Park, Michael Press, Maureen Sanderson, Dale P. Sandler, Song T. Yao, Ying Zheng, Thomas Ahearn, Abenaa M. Brewster, Anselm Hennis, Hidemi Ito, Michiaki Kubo, Eun-Sook Lee, Katie O’Brien, Oladosu Ojengbede, Andrew F. Olshan, Min-Ho Park, Sonya Reid, Taiki Yamaji, Gary R. Zirpoli, Ebonee N. Butler, Maosheng Huang, Siew-Kee Low, John Oladapo Obafunwa, Clarice R. Weinberg, Haoyu Zhang, Hongyu Zhao, Christine B. Ambrosone, Michelle Cote, Dezheng Huo, Christopher A. Haiman, Daehee Kang, Julie Palmer, Melissa A. Troester, Xiao-Ou Shu, Jirong Long, Wei Zheng, Adeyinka Falusi, Timothy Makumbi, Berthe S. E. Mapoko, Dong-Young Noh
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Nature
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Biomarker-Based Eligibility for Lung Cancer Screening : Validation of the Protein-Based INTEGRAL-Risk Model
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Biomarker-Based Eligibility for Lung Cancer Screening: Validation of the Protein-Based INTEGRAL-Risk Model Supplement 1. eTable 1. Cohorts and number of participants included in the training and testing set eTable 2. Precision (Inter coefficient of variation [CV] %) of protein measurements and blood levels observed in the training and testing datasets eTable 3. Number of outlier values for each protein in each cohort eTable 4.
By Hana Zahed, Xiaoshuang Feng, Karine Alcala, Karl Smith-Byrne, Elham Khodayari Moez, Florence Guida, Demetrius Albanes, Stephanie J Weinstein, Alan A. Arslan, Qiuyin Cai, Xiao-Ou Shu, Wei Zheng, Chu Chen, Matthew Triplette, Lesley F Tinker, Arnulf Langhammer, Therese Haugdahl Nøst, Kristian Hveem, Roger Milne, Julie Bassett, Reza Malekzadeh, YING WANG, Alpa Patel, Kala Visvanathan, Jian-Min Yuan, Renwei Wang, Woon-Puay Koh, Howard D. Sesso, Xuehong Zhang, Mikael Johansson, Christopher I. Amos, Rayjean J. Hung, David Muller, David Müller, Hilary A Robbins, Mattias Johansson
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JAMA: Journal of the American Medical Association
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