Risk prediction models for endometrial cancer: development and validation in an international consortium

BACKGROUND: Endometrial cancer risk stratification may help target interventions, screening, or prophylactic hysterectomy to mitigate the rising burden of this cancer. However, existing prediction models have been developed in select cohorts and have not considered genetic factors. METHODS: We devel...

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Detalles Bibliográficos
Autores principales: Shi, Joy, Kraft, Peter, Rosner, Bernard A, Benavente, Yolanda, Black, Amanda, Brinton, Louise A, Chen, Chu, Clarke, Megan A, Cook, Linda S, Costas, Laura, Dal Maso, Luigino, Freudenheim, Jo L, Frias-Gomez, Jon, Friedenreich, Christine M, Garcia-Closas, Montserrat, Goodman, Marc T, Johnson, Lisa, La Vecchia, Carlo, Levi, Fabio, Lissowska, Jolanta, Lu, Lingeng, McCann, Susan E, Moysich, Kirsten B, Negri, Eva, O'Connell, Kelli, Parazzini, Fabio, Petruzella, Stacey, Polesel, Jerry, Ponte, Jeanette, Rebbeck, Timothy R, Reynolds, Peggy, Ricceri, Fulvio, Risch, Harvey A, Sacerdote, Carlotta, Setiawan, Veronica W, Shu, Xiao-Ou, Spurdle, Amanda B, Trabert, Britton, Webb, Penelope M, Wentzensen, Nicolas, Wilkens, Lynne R, Xu, Wang Hong, Yang, Hannah P, Yu, Herbert, Du, Mengmeng, De Vivo, Immaculata
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165481/
https://www.ncbi.nlm.nih.gov/pubmed/36688725
http://dx.doi.org/10.1093/jnci/djad014

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