ArticleEBioMedicine2019
A 23 gene-based molecular prognostic score precisely predicts overall survival of breast cancer patients.
Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 2 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Drug repositioning for immunotherapy in breast cancer using single-cell analysis.NPJ systems biology and applications · 2024Pooled it
- Effectiveness of Artificial Intelligence for Personalized Medicine in Neoplasms: A Systematic Review.BioMed research international · 2022Pooled it
- Metronomic Chemotherapy in Ovarian Cancer: Current Scenario and AI-Integrated Future Strategies.Cancer reports (Hoboken, N.J.) · 2026Review
- Review
- BRCAGenie: A machine learning-driven 43-gene polygenic risk score model for precision prediction of breast cancer survival.Journal of translational medicine · 2025Article
- Functional analysis of the effects of propofol on tamoxifen‑resistant breast cancer cells: Insights into transcriptional regulation.Oncology letters · 2025Article
- PDX models for functional precision oncology and discovery science.Nature reviews. Cancer · 2025Review
- COMPREHENSIVE CHARACTERIZATION OF CYTOKINES IN PATIENTS UNDER EXTRACORPOREAL MEMBRANE OXYGENATION: EVIDENCE FROM INTEGRATED BULK AND SINGLE-CELL RNA SEQUENCING DATA USING MULTIPLE MACHINE LEARNING APPROACHES.Shock (Augusta, Ga.) · 2025Article
- Spatial profiling of the metabolism-immune axis in ovarian cancer.Frontiers in pharmacology · 2025Review
- The molecular prognostic score, a classifier for risk stratification of high-grade serous ovarian cancer.Journal of ovarian research · 2024Article
- Integrating spatial transcriptomics and bulk RNA-seq: predicting gene expression with enhanced resolution through graph attention networks.Briefings in bioinformatics · 2024Article
- An assessment system for clinical and biological interpretability in ulcerative colitis.Aging · 2024Article
- Transcriptomic analysis of Porphyromonas gingivalis-infected head and neck cancer cells: Identification of PLAU as a candidate prognostic biomarker.Journal of cellular and molecular medicine · 2024Article
- Construction of the miRNA/Pyroptosis-Related Molecular Regulatory Axis in Abdominal Aortic Aneurysm: Evidence From Transcriptome Data Combined With Multiple Machine Learning Approaches Followed by Experiment Validation.Journal of immunology research · 2024Article
- Cost-effective prognostic evaluation of breast cancer: using a STAR nomogram model based on routine blood tests.Frontiers in endocrinology · 2024Article
- A new 4-gene-based prognostic model accurately predicts breast cancer prognosis and immunotherapy response by integrating WGCNA and bioinformatics analysis.Frontiers in immunology · 2024Article
- An engineered niche delineates metastatic potential of breast cancer.Bioengineering & translational medicine · 2024Article
- MIRS: An AI scoring system for predicting the prognosis and therapy of breast cancer.iScience · 2023Article
- Development of a Machine Learning-Based Prognostic Model for Hormone Receptor-Positive Breast Cancer Using Nine-Gene Expression Signature.World journal of oncology · 2023Article
- Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stage I-III lung adenocarcinoma.Genes & diseases · 2023Article
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2 authors.
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Abstract
backgroundAlthough many prognosis-predicting molecular scores for breast cancer have been developed, they are applicable to only limited disease subtypes. We aimed to develop a novel prognostic score that is applicable to a wider range of breast cancer patients.
methodsWe initially examined The Cancer Genome Atlas breast cancer cohort to identify potential prognosis-related genes. We then performed a meta-analysis of 36 international breast cancer cohorts to validate such genes. We trained artificial intelligence models (random forest and neural network) to predict prognosis precisely, and we finally validated our prediction with the log-rank test.
findingsWe identified a comprehensive list of 184 prognosis-related genes, most of which have been not extensively studied to date. We then established a universal molecular prognostic score (mPS) that relies on the expression status of only 23 of these genes. The mPS system is almost universally applicable to breast cancer patients (log-rank P < 0.05) in a manner independent of platform (microarray or RNA sequencing).
interpretationThe mPS system is simple and cost-effective to apply and yet is able to reveal previously unrecognized heterogeneity among patient subpopulations in a platform-independent manner. The combination of mPS and clinical stage stratifies prognosis even more precisely and should prove of value for avoidance of overtreatment. In addition, the prognosis-related genes uncovered in this study are potential drug targets. FUND: This work was supported by KAKENHI grants from the Ministry of Education, Culture, Sports, Science, and Technology of Japan to H.S. (19K20403) and to K.I·N (18H05215).
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