Development of a prognostic model incorporating a cuproptosis-related signature and CNN3 as a predictor in childhood acute myelocytic leukemia

Autor: Jiafan Cao, Mengyun Xie, Kexin Sun, Yijun Zhao, Jiayin Zheng, Ying Wang, Yucan Zheng, Sixi Liu, Uet Yu

Publikováno v: Frontiers in Oncology, Vol 14 (2024)

BackgroundChildhood acute myeloid leukemia (cAML) is the second most common pediatric blood cancer, with high heterogeneity and poor prognosis. Recent studies have highlighted cuproptosis, a newly discovered form of programmed cell death triggered by

Externí odkaz: https://doaj.org/article/e93456398cd64c2c8b1070a3f6eeb245

TRIM8 as a predictor for prognosis in childhood acute lymphoblastic leukemia based on a signature of neutrophil extracellular traps

Autor: Waihin Tin, Cuilan Xiao, Kexin Sun, Yijun Zhao, Mengyun Xie, Jiayin Zheng, Ying Wang, Sixi Liu, Uet Yu

Publikováno v: Frontiers in Oncology, Vol 14 (2024)

BackgroundNeutrophil extracellular traps (NETs) can be attributed to the metastasis, occurrence, and immune evasion of cancer cells. We investigated the prognostic value of NET-related genes in childhood acute lymphoblastic leukemia (cALL) patients.M

Externí odkaz: https://doaj.org/article/ef68a39b222441b498d9cf1f6030b135

Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations

Autor: Minta Thomas, Yu-Ru Su, Elisabeth A. Rosenthal, Lori C. Sakoda, Stephanie L. Schmit, Maria N. Timofeeva, Zhishan Chen, Ceres Fernandez-Rozadilla, Philip J. Law, Neil Murphy, Robert Carreras-Torres, Virginia Diez-Obrero, Franzel J. B. van Duijnhoven, Shangqing Jiang, Aesun Shin, Alicja Wolk, Amanda I. Phipps, Andrea Burnett-Hartman, Andrea Gsur, Andrew T. Chan, Ann G. Zauber, Anna H. Wu, Annika Lindblom, Caroline Y. Um, Catherine M. Tangen, Chris Gignoux, Christina Newton, Christopher A. Haiman, Conghui Qu, D. Timothy Bishop, Daniel D. Buchanan, David R. Crosslin, David V. Conti, Dong-Hyun Kim, Elizabeth Hauser, Emily White, Erin Siegel, Fredrick R. Schumacher, Gad Rennert, Graham G. Giles, Heather Hampel, Hermann Brenner, Isao Oze, Jae Hwan Oh, Jeffrey K. Lee, Jennifer L. Schneider, Jenny Chang-Claude, Jeongseon Kim, Jeroen R. Huyghe, Jiayin Zheng, Jochen Hampe, Joel Greenson, John L. Hopper, Julie R. Palmer, Kala Visvanathan, Keitaro Matsuo, Koichi Matsuda, Keum Ji Jung, Li Li, Loic Le Marchand, Ludmila Vodickova, Luis Bujanda, Marc J. Gunter, Marco Matejcic, Mark A. Jenkins, Martha L. Slattery, Mauro D’Amato, Meilin Wang, Michael Hoffmeister, Michael O. Woods, Michelle Kim, Mingyang Song, Motoki Iwasaki, Mulong Du, Natalia Udaltsova, Norie Sawada, Pavel Vodicka, Peter T. Campbell, Polly A. Newcomb, Qiuyin Cai, Rachel Pearlman, Rish K. Pai, Robert E. Schoen, Robert S. Steinfelder, Robert W. Haile, Rosita Vandenputtelaar, Ross L. Prentice, Sébastien Küry, Sergi Castellví-Bel, Shoichiro Tsugane, Sonja I. Berndt, Soo Chin Lee, Stefanie Brezina, Stephanie J. Weinstein, Stephen J. Chanock, Sun Ha Jee, Sun-Seog Kweon, Susan Vadaparampil, Tabitha A. Harrison, Taiki Yamaji, Temitope O. Keku, Veronika Vymetalkova, Volker Arndt, Wei-Hua Jia, Xiao-Ou Shu, Yi Lin, Yoon-Ok Ahn, Zsofia K. Stadler, Bethany Van Guelpen, Cornelia M. Ulrich, Elizabeth A. Platz, John D. Potter, Christopher I. Li, Reinier Meester, Victor Moreno, Jane C. Figueiredo, Graham Casey, Iris Lansdorp Vogelaar, Malcolm G. Dunlop, Stephen B. Gruber, Richard B. Hayes, Paul D. P. Pharoah, Richard S. Houlston, Gail P. Jarvik, Ian P. Tomlinson, Wei Zheng, Douglas A. Corley, Ulrike Peters, Li Hsu

Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)

Abstract Polygenic risk scores (PRS) have great potential to guide precision colorectal cancer (CRC) prevention by identifying those at higher risk to undertake targeted screening. However, current PRS using European ancestry data have sub-optimal pe

Externí odkaz: https://doaj.org/article/e7a280372db24e62a96e2b247dd52766

Risk Projection for Time-to-event Outcome Leveraging Summary Statistics With Source Individual-level Data

Autor: Jiayin, Zheng, Yingye, Zheng, Li, Hsu

Predicting risks of chronic diseases has become increasingly important in clinical practice. When a prediction model is developed in a given source cohort, there is often a great interest to apply the model to other cohorts. However, due to potential

Externí odkaz: http://arxiv.org/abs/2003.01850

Effect of water vapor content on corrosion performance of aluminide coatings on TP347H in a simulated biomass combustion environment

Autor: Duoli Wu, Jiayin Zheng, Su Liu, Haotian Wu, Xinlong Wei, Chao Zhang

Publikováno v: Journal of Materials Research and Technology, Vol 20, Iss , Pp 1755-1769 (2022)

Large numbers of power plants are taking biomass energy to replace fossil fuels. However, biomass combustion process deposits a substantial amount of potassium chloride in the boiler pipe, which causes high-temperature corrosion. This paper investiga

Externí odkaz: https://doaj.org/article/dedb0204db6c4e8ca37c2cdb2a6eadad