ArticleJCO precision oncology2025
Improving Individualized Rhabdomyosarcoma Prognosis Predictions Using Somatic Molecular Biomarkers.
Article in JCO precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Cell-Free DNA Uncovered Tumor Heterogeneity and Informed Targeted Therapy in a Pediatric Rhabdomyosarcoma.JCO precision oncology · 2026Article
- Case Report: Relapsed alveolar rhabdomyosarcoma treated with abemaciclib, temozolomide, and irinotecan in the JPCS study.Frontiers in oncology · 2025Article
Corrections and comments
- Update of
Authors and funding
6 authors.
Funding
Abstract
purposeMolecular markers increasingly influence risk-stratified treatment selection for pediatric rhabdomyosarcoma (RMS). This study aims to integrate molecular and clinical data to produce individualized prognosis predictions that can further improve treatment selection.
methodsClinical variables and somatic mutation data for 20 genes from 641 patients with RMS in the United Kingdom and the United States were used to develop three Cox proportional hazard models for predicting event-free survival (EFS). The Baseline Clinical (BC) model included treatment location, age, fusion status, and risk group. The Gene Enhanced 2 (GE2) model added
resultsThe GE6 model demonstrated superior predictive performance compared with the BC model (
conclusionIncorporating molecular markers into RMS prognosis models improves prognosis predictions. Individualized prognosis predictions may suggest alternative treatment regimens compared with traditional risk-classification schemas. Improved clinical variables and external validation are required before implementing these models into clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.