Evidence map›Paper›PMID 34990726›Full record

ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2022

Germline variants disrupting microRNAs predict long-term genitourinary toxicity after prostate cancer radiation.

Amar U Kishan, Nicholas Marco, Melanie-Birte Schulz-Jaavall, Michael L Steinberg, Phuoc T Tran, Jesus E Juarez, Audrey Dang, Donatello Telesca, Wolfgang A Lilleby, Joanne B Weidhaas

Open access · greenAbstract read
In one paragraph

Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Validation and Derivation of miRNA-Based Germline Signatures Predicting Radiation Toxicity in Prostate Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  9. Review
  10. A Polygenic Risk Score for Late Bladder Toxicity Following Radiotherapy for Non-Metastatic Prostate Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. The contemporary management of prostate cancer.CA: a cancer journal for clinicians
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Amar U KishanDepartment of Radiation Oncology, University of California, Los Angeles, United States; Department of Urology, University of California, Los Angeles, United States. Electronic address: aukishan@mednet.ucla.edu.
Nicholas MarcoDepartment of Biostatistics, University of California Los Angeles Fielding School of Public Health, Los Angeles, United States.
Melanie-Birte Schulz-JaavallDepartment of Oncology, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.
Michael L SteinbergDepartment of Radiation Oncology, University of California, Los Angeles, United States.
Phuoc T TranDepartment of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, United States.
Jesus E JuarezDepartment of Radiation Oncology, University of California, Los Angeles, United States.
Audrey DangDepartment of Radiation Oncology, University of California, Los Angeles, United States.
Donatello TelescaDepartment of Biostatistics, University of California Los Angeles Fielding School of Public Health, Los Angeles, United States.
Wolfgang A LillebyDepartment of Oncology, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.
Joanne B WeidhaasDepartment of Radiation Oncology, University of California, Los Angeles, United States.
University of California, Los Angeles · USOslo University Hospital · NOJohns Hopkins Medicine · US

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
UCLA SPORE in Brain CancerP50CA211015 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Yvonne Yu-Hsuan Chen · 2017 to 2026
$25.2M
Germ-line miRNA binding site variants as biomarkers of toxicity and response to checkpoint inhibitionR01CA238998 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WEIDHAAS, JOANNE B · 2019 to 2023
$1.8M
NCI NIH HHS P30 CA016042NCI NIH HHS P50 CA211015NCI NIH HHS R01 CA238998
6 · The paper itself

Abstract

background and purposeThe purpose of this study was to determine whether single nucleotide polymorphisms disrupting microRNA targets (mirSNPs) can serve as predictive biomarkers for toxicity after radiotherapy for prostate cancer and whether these may be differentially predictive depending on radiation fractionation. MATERIALS AND

methodsWe identified 201 men treated with two forms of definitive radiotherapy for prostate cancer at two institutions: 108 men received conventionally-fractionated radiotherapy (CF-RT) and 93 received stereotactic body radiotherapy (SBRT). Germline DNA was evaluated for the presence of functional mirSNPs. Random forest, boosted trees and elastic net models were developed to predict late grade ≥2 GU toxicity by the RTOG scale.

resultsThe crude incidence of late grade ≥2 GU toxicity was 16% after CF-RT and 15% after SBRT. An elastic net model based on 22 mirSNPs differentiated CF-RT patients at high risk (71.5%) versus low risk (7.5%) for toxicity, with an area under the curve (AUC) values of 0.76-0.81. An elastic net model based on 32 mirSNPs differentiated SBRT patients at high risk (64.7%) versus low risk (3.9%) for toxicity, with an area under the curve (AUC) values of 0.81-0.87. These models were specific to treatment type delivered. Prospective studies are warranted to further validate these results.

conclusionPredictive models using germline mirSNPs have high accuracy for predicting late grade ≥2 GU toxicity after either CF-RT or SBRT, and are unique for each treatment, suggesting that germline predictors of late radiation sensitivity are fractionation-dependent. Prospective studies are warranted to further validate these results.

Indexed as

MicroRNAsProstatic NeoplasmsRadiosurgeryGerm CellsHumansMaleProstateUrogenital SystemMicroRNAsGermlineIMRTProstateSBRTSNPsToxicity

Identifiers

PMID34990726
PMCPMC8979583
OpenAlexW4206288646

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.