Validation and Derivation of miRNA-Based Germline Signatures Predicting Radiation Toxicity in Prostate Cancer
These findings provide strong evidence for the continued application of mirSNPs to predict toxicity to RT and act as a path for the continued personalization of RT with improved patient outcomes.
Authors
- Minsong Cao (ORCID: https://orcid.org/0000-0003-4705-6629)
- Luca Valle (ORCID: https://orcid.org/0000-0002-5781-4174)
- Beth K. Neilsen (ORCID: https://orcid.org/0000-0002-4859-6486)
- Joanne B. Weidhaas (ORCID: https://orcid.org/0000-0002-5096-3281)
- Michael L. Steinberg (ORCID: https://orcid.org/0000-0002-4292-5824)
- Amar U. Kishan (ORCID: https://orcid.org/0000-0002-4836-8483)
- Kristen M. McGreevy (ORCID: https://orcid.org/0000-0002-3767-5971)
- Donatello Telesca (ORCID: https://orcid.org/0000-0003-0773-451X)
- Maria Casado (ORCID: https://orcid.org/0000-0002-6409-5569)
Institutions
- University of California, Los Angeles (US)
- University of California, San Francisco (US)
- VA Greater Los Angeles Healthcare System (US)
Publication Details
- Journal
- Clinical Cancer Research
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1158/1078-0432.ccr-24-3951
- Citations
- 4
- Primary Topic
- Circular RNAs in diseases
- Type
- article
- Field-Weighted Citation Impact
- 3.22
Funders
- National Cancer Institute