ArticleMedicine2018
Fifteen-gene expression based model predicts the survival of clear cell renal cell carcinoma.
Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- A prognostic 19-gene signature and LBP-mediated immune dysregulation define the tumor microenvironment in poor-prognosis KIRC.International journal of medical sciences · 2026Article
- Application of artificial intelligence in the diagnosis and treatment of urinary tumors.Frontiers in oncology · 2024Review
- Review
- Identification of a basement membrane-based risk scoring system for prognosis prediction and individualized therapy in clear cell renal cell carcinoma.Frontiers in genetics · 2023Article
- Prognostic Biomarker-Based Identification of Drugs for Managing the Treatment of Endometrial Cancer.Molecular diagnosis & therapy · 2021Article
- The Role of Artificial Intelligence in the Diagnosis and Prognosis of Renal Cell Tumors.Diagnostics (Basel, Switzerland) · 2021Review
- Review of Prognostic Expression Markers for Clear Cell Renal Cell Carcinoma.Frontiers in oncology · 2021Review
- Prognostic biomarkers for predicting papillary thyroid carcinoma patients at high risk using nine genes of apoptotic pathway.PloS one · 2021Article
- Identification of prognostic biomarkers for major subtypes of non-small-cell lung cancer using genomic and clinical data.Journal of cancer research and clinical oncology · 2020Article
- Artificial intelligence (AI) in urology-Current use and future directions: An iTRUE study.Turkish journal of urology · 2020Review
- A risk stratification model based on four novel biomarkers predicts prognosis for patients with renal cell carcinoma.World journal of surgical oncology · 2020Article
- Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer.World journal of urology · 2020Review
- Article
- Radiomics Applications in Renal Tumor Assessment: A Comprehensive Review of the Literature.Cancers · 2020Review
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clear-cell renal cell carcinoma (ccRCC) is the major renal cell carcinoma subtype, but its postsurgical prognosis varies among individual patients.We used gene expression, machine learning (random forest variable hunting), and Cox regression analysis to develop a risk score model based on 15 genes to predict survival of patients with ccRCC in the The Cancer Genome Atlas dataset (N = 533). We validated this model in another cohort, and analyzed correlations between risk score and other clinical indicators.Patients in the high-risk group had significantly worse overall survival (OS) than did those in the low-risk group (P = 5.6e-16); recurrence-free survival showed a similar pattern. This result was reproducible in another dataset, E-MTAB-1980 (N = 101, P = .00029). We evaluated correlations between risk score and other clinical indicators. Risk was independent of age and sex, but was significantly associated with hemoglobin level, primary tumor size, and grade. Radiation therapy also had no effect on the prognostic value of the risk score. Cox multivariate regression showed risk score to be an important indicator for ccRCC prognosis. We plotted a nomogram for 3-year OS to facilitate use of risk score and other indicators.The risk score model based on expression of the 15 selected genes can predict survival of patients with ccRCC.
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