SynthesisBreast cancer research and treatment2022
Value of the 21-gene expression assay in predicting locoregional recurrence rates in estrogen receptor-positive breast cancer: a systematic review and network meta-analysis.
Synthesis in Breast cancer research and treatment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- The impact of mammographic breast density on locoregional recurrence in breast cancer: a systematic review and meta-analysis.Breast cancer research and treatment · 2025Pooled it
- Risk of locoregional recurrence after breast cancer surgery by molecular subtype-a systematic review and network meta-analysis.Irish journal of medical science · 2024Pooled it
- Clinico-genomic risk stratification for biomarker-enriched trial design in poor-prognosis metastatic castrate-resistant prostate cancer (mCRPC).The journal of liquid biopsy · 2026Article
- Can DNA Methylation in Peritumoral and Contralateral Breast Tissue Predict Recurrence or Second Breast Cancers?Current issues in molecular biology · 2026Article
- Trends in postmastectomy radiotherapy for early and locally advanced breast cancer in Switzerland: a population-based cross-sectional and longitudinal analysis.Breast cancer research and treatment · 2026Article
- Postmastectomy radiotherapy indications using pathological prognostic staging in node-positive breast cancer.Gland surgery · 2025Article
- Review
- Molecular profiling in contemporary breast cancer management.The British journal of surgery · 2023Article
- Caveolin-1 genotypes as predictor for locoregional recurrence and contralateral disease in breast cancer.Breast cancer research and treatment · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe Oncotype DX© 21-gene Recurrence Score (RS) estimates the risk of distant disease recurrence in early-stage estrogen receptor-positive, human epidermal growth factor receptor-2-negative (ER+/HER2- ) breast cancer. Using RS to estimate risk of locoregional recurrence (LRR) is less conclusive. We aimed to perform network meta-analysis (NMA) evaluating the RS in estimating LRR in ER+/HER2- breast cancer.
methodsA NMA was performed according to PRISMA-NMA guidelines. Analysis was performed using R packages and Shiny.
results16 studies with 21,037 patients were included (mean age: 55.1 years (range: 22-96)). The mean RS was 17.1 and mean follow-up was 66.4 months. Using traditional RS cut-offs, 49.7% of patients had RS < 18 (3944/7935), 33.8% had RS 18-30 (2680/7935), and 16.5% had RS > 30 (1311/7935). Patients with RS 18-30 (risk ratio (RR): 1.76, 95% confidence interval (CI): 1.32-2.37) and RS > 30 (RR: 3.45, 95% CI: 2.63-4.53) were significantly more likely to experience LRR than those with RS < 18. Using TAILORx cut-offs, 16.2% of patients had RS < 11 (1974/12,208), 65.8% had RS 11-25 (8036/12,208), and 18.0% with RS > 30 (2198/12,208). LRR rates were similar for patients with RS 11-25 (RR: 1.120, 95% CI: 0.520-2.410); however, those with RS > 25 had an increased risk of LRR (RR: 2.490, 95% CI: 0.680-9.390) compared to those with RS < 11. There was a stepwise increase in LRR rates when applying traditional and TAILORx cut-offs (both P < 0.050).
conclusionRS testing accurately estimates LRR risk for patients being treated for early-stage ER+/HER2- breast cancer. Future prospective, randomized studies may validate the predictive value of RS in estimating LRR.
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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.