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.

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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

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article

Validation and Derivation of miRNA-Based Germline Signatures Predicting Radiation Toxicity in Prostate Cancer

Minsong Cao, Luca Valle, Beth K. Neilsen, Joanne B. Weidhaas et al.
4 citations
Clinical Cancer Research
Circular RNAs in diseases
3.22
article

Validation and Derivation of miRNA-Based Germline Signatures Predicting Radiation Toxicity in Prostate Cancer

Minsong Cao, Luca Valle, Beth K. Neilsen, Joanne B. Weidhaas, Michael L. Steinberg, Amar U. Kishan, Kristen M. McGreevy, Donatello Telesca, Maria Casado
article en
4 citations

Abstract

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.

Clinical Cancer ResearchVol. 31(12)
University of California, Los Angeles (US), University of California, San Francisco (US), VA Greater Los Angeles Healthcare System (US)
National Cancer Institute
Openalex Percentile: Top 9%
Circular RNAs in diseases
3.22
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