Development and validation of age-specific risk prediction models for primary ovarian insufficiency in long-term survivors of childhood cancer: a report from the Childhood Cancer Survivor Study and St Jude Lifetime Cohort

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doi:10.1016/S1470-2045(23)00510-7

Development and validation of age-specific risk prediction models for primary ovarian insufficiency in long-term survivors of childhood cancer: a report from the Childhood Cancer Survivor Study and St Jude Lifetime Cohort

Cindy Im & Yan Yuan et al. · 2023-11-14

11Citations

1Influential

Links

DOI PubMed

Journal

The Lancet Oncology

TL;DR

Age-specific logistic regression models considering ovarian radiation dosimetry or prescribed pelvic and abdominal radiation dose, along with individual chemotherapy predictors, performed well in CCSS and SJLIFE, and robust prediction performance in adult survivors of childhood cancer was showed.

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Authors

Cindy Im, Zhe Lu, Sogol Mostoufi-Moab, Angela Delaney, Lin Yu, Jessica L Baedke, Yutong Han, Yadav Sapkota, Yutaka Yasui, Eric J Chow, Rebecca M Howell, Smita Bhatia, Melissa M Hudson, Kirsten K Ness, Gregory T Armstrong, Paul C Nathan, Yan Yuan

Funding

Late Effects Prediction using Clinical Phenotypes and Whole Genome Sequencing Treatment-specific genetic risk scores for late effects prediction in childhood, adolescent, and young adult cancer survivors The St. Jude Lifetime Cohort Mach-LETSGO: Machine-LEarning of Treatment, Survey, and Genetics towards Obtaining Correct Classification of Chronic Conditions in Adult Survivors in the Childhood Cancer Survivor Study - CCSS Suppl CIHR Funding Late Effects Prediction using Clinical Phenotypes and Whole Genome Sequencing Treatment-specific genetic risk scores for late effects prediction in childhood, adolescent, and young adult cancer survivors The St. Jude Lifetime Cohort National Cancer Institute Grant U24 CA55727 Canadian Centre for Applied Research in Cancer Control Funding Canadian Institutes of Health Research Grant FRN 148693 Canadian Institutes of Health Research Grant FRN 388395 Natural Sciences and Engineering Research Council of Canada Grant RGPIN-2019-04862 Canadian Cancer Society Funding

NCI NIH HHS

R01 CA216354

NCI NIH HHS

R21 CA261833

NCI NIH HHS

U01 CA195547

NCI NIH HHS

U24 CA055727

National Cancer Institute

R01 CA216354

National Cancer Institute

R21 CA261833

National Cancer Institute

U01 CA195547