Cancer
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Mixed-model and transcriptome-wide association analyses identify transcription factors and genes associated with colorectal cancer susceptibility
Chen, Zhishan; Song, Wenqiang; Li, Qing; Li, Chao; Wen, Wanqing; Huyghe, Jeroen R.; Law, Philip J.; Fernandez-Rozadilla, Ceres; Timofeeva, M. N.; Thomas, Minta; Schmit, Stephanie L.; Martin, Vicente; Devall, Matthew A. M.; Dampier, Christopher Heaton; Moratalla-Navarro, Ferran; Cai, Qiuyin; Wang, Jifeng; Shi, Jiajun; Kweon, Sun-seog; Tanikawa, Chizu; Jia,… Read MoreFeb. 25, 2026
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Mutant GNAS drives a pyloric metaplasia with tumor suppressive glycans in intraductal papillary mucinous neoplasia
Quoc-Huy Trinh, Vincent; Ankenbauer, Katherine E.; Torbit, Sabrina M.; Taranto, Christopher P.; Liu, Jiayue; Batardiere, Maelle; Kumar, Bhoj; Carlo Maurer, Hans; Revetta, Frank L.; Chen, Zhengyi; Kruse, Angela R.S.; Judd, Audra M.; Copeland, Celina; Wong, Jahg; Ben-Levy, Olivia; Jarvis, Brenda; Brown, Monica E.; Brown, Jeffrey W.; Das, Koushik… Read MoreJan. 28, 2026
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SCGclust: Single-Cell Graph Clustering Using Graph Autoencoders That Integrate SNVs and CNAs
Potu, Teja; Hu, Yunfei; Wang, Judy; Chi, Hongmei; Khan, Rituparna; Dharani, Srinija; Ni, Jingchao; Zhang, Liting; Zhou, Xin Maizie; & Mallory, Xian Fan. (2026). SCGclust: Single-cell graph clustering using graph autoencoders that integrate SNVs and CNAs. Mathematics, 14(1), 46. https://doi.org/10.3390/math14010046 Intra-tumor heterogeneity, or ITH, refers to the differences… Read MoreJan. 28, 2026
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Large-scale integration of omics and electronic health records to identify potential risk protein biomarkers and therapeutic drugs for cancer prevention
Li, Qing; Song, Qingyuan; Chen, Zhishan; Choi, Jung-yoon; Moreno, Victor R.; Ping, Jie; Wen, Wanqing; Li, Chao; Shu, Xiang; Yan, Jun; Shu, Xiaoou; Cai, Qiuyin; Long, Jirong; Huyghe, Jeroen R.; Pai, Rish K.; Gruber, Stephen Bernard; Yang, Yaohua; Casey, Graham R.; Wang, Xusheng; Toriola, Adetunji T.; Li, Li;… Read MoreJan. 28, 2026
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Embedding Sustainability into the Imaging and Care of Patients with Cancer
Northrup, Benjamin E.; Hanneman, Kate A.; Lichter, Katie E.; Rockall, Andrea G.; Zigmund, Beth; D’Anna, Gennaro; Zhang, Zhuoli; Osborne, Joseph R.; Silva, Genevieve S.; Waeldner, Kathleen; Omary, Reed A. (2025 51). Embedding Sustainability into the Imaging and Care of Patients with Cancer. Radiology: Imaging Cancer, 7(6), e250054. Read MoreOct. 23, 2025 51
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3D collagen high-throughput screen identifies drugs that induce epithelial polarity and enhance chemotherapy response in colorectal cancer
Harmych, Sarah J., Hasaka, Thomas P., Sievers, Chelsie K., Kang, Seung-woo, Ramirez, Marisol Adelina, Jones, Vivian Truong, Zhao, Zhiguo, Kovtun, Oleg, Wahoski, Claudia C., & Liu, Qi. (2025 51). 3D collagen high-throughput screen identifies drugs that induce epithelial polarity and enhance chemotherapy response in colorectal cancer. Communications Biology,… Read MoreSep. 26, 2025 51
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Curating retrospective multimodal and longitudinal data for community cohorts at risk for lung cancer
Li, Thomas Z., Xu, Kaiwen, Chada, Neil C., Chen, Heidi, Knight, Michael, Antic, Sanja, Sandler, Kim L., Maldonado, Fabien, Landman, Bennett A., & Lasko, Thomas A. (2025 51). Curating retrospective multimodal and longitudinal data for community cohorts at risk for lung cancer. *Cancer Biomarkers: Section A of Disease… Read MoreJul. 28, 2025 51
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Thymomas and Thymic Carcinomas, Version 2.2025 51
Riely, Gregory J., Wood, Douglas E., Loo, Billy W., Aisner, Dara L., Akerley, Wallace, Bauman, Jessica R., Bharat, Ankit, Chang, Joe Y., Chirieac, Lucian R., DeCamp, Malcolm, Desai, Aakash, Dilling, Thomas J., Dowell, Jonathan, Durm, Gregory A., Gettinger, Scott, Grotz, Travis E., Gubens, Matthew A., Juloori, Aditya, Lackner,… Read MoreJul. 28, 2025 51
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Radiomic € Stress Test’: exploration of a deep learning radiomic model in a high-risk prospective lung nodule cohort
Xiao, David, Forero, Yency, Kammer, Michael N., Chen, Heidi, Paez, Rafael, Heideman, Brent E., Owoseeni, Oreoluwa, Johnson, Ian, Deppen, Stephen A., Grogan, Eric L., & Maldonado, Fabien. (2025 51). Radiomic ‘Stress Test’: Exploration of a deep learning radiomic model in a high-risk prospective lung nodule cohort. *BMJ Open… Read MoreJul. 28, 2025 51
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Optimizing Biomarker Models for Biologically Heterogeneous Cancers: A Nested Model Approach for Lung Cancer
Woodhouse, Palina; Jackson, Laurel; Kammer, Michael N.; Godfrey, Caroline M.; Antic, Sanja; Zou, Yong; Meyers, Patrick; Gawel, Susan H.; Maldonado, Fabien; Grogan, Eric L.; Davis, Gerard J.; Deppen, Stephen A. “Optimizing Biomarker Models for Biologically Heterogeneous Cancers: A Nested Model Approach for Lung Cancer.” Cancer Epidemiology,… Read MoreMay. 21, 2025 51