ArticleAging2020
Risk score based on expression of five novel genes predicts survival in soft tissue sarcoma.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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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.
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.
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Who cites it
21 citing papers in PubMed, 26 citations in OpenAlex.
- GCSH promotes colorectal cancer progression by inhibiting Cuproptosis through the PI3K/AKT-FDX1 axis.Functional & integrative genomics · 2026Article
- Unveiling the unique role of TSPAN7 across tumors: a pan-cancer study incorporating retrospective clinical research and bioinformatic analysis.Biology direct · 2024Article
- Article
- A comprehensive analysis of FBN2 in bladder cancer: A risk factor and the tumour microenvironment influencer.IET systems biology · 2023Article
- Identification of Prognosis-Related Oxidative Stress Model with Immunosuppression in HCC.Biomedicines · 2023Article
- A New Signature of Sarcoma Based on the Tumor Microenvironment Benefits Prognostic Prediction.International journal of molecular sciences · 2023Article
- Cancer-Associated Stromal Fibroblast-Derived Transcriptomes Predict Poor Clinical Outcomes and Immunosuppression in Colon Cancer.Pathology oncology research : POR · 2022Article
- miR-139-5p Was Identified as Biomarker of Different Molecular Subtypes of Breast Carcinoma.Frontiers in oncology · 2022Article
- An Oxidative Stress-Related Genes Signature for Predicting Survival in Bladder Cancer: Based on TCGA Database and Bioinformatics.International journal of general medicine · 2022Article
- Bioinformatics analysis reveals the competing endogenous RNA (ceRNA) coexpression network in the tumor microenvironment and prognostic biomarkers in soft tissue sarcomas.Bioengineered · 2021Article
- Integrated analysis identifies oxidative stress genes associated with progression and prognosis in gastric cancer.Scientific reports · 2021Article
- Prognostic Nomogram and a Risk Classification System for Predicting Overall Survival of Elderly Patients with Fibrosarcoma: A Population-Based Study.Journal of oncology · 2021Article
- Construction of Prognostic Risk Prediction Model of Oral Squamous Cell Carcinoma Based on Nine Survival-Associated Metabolic Genes.Frontiers in physiology · 2021Article
- Identification of Novel Prognostic Risk Signatures of Soft Tissue Sarcoma Based on Ferroptosis-Related Genes.Frontiers in oncology · 2021Article
- Construction of Two Alternative Polyadenylation Signatures to Predict the Prognosis of Sarcoma Patients.Frontiers in cell and developmental biology · 2021Article
- Integrated Analysis of the Roles of RNA Binding Proteins and Their Prognostic Value in Clear Cell Renal Cell Carcinoma.Journal of healthcare engineering · 2021Article
- Analysis of Bulk RNA Sequencing Data Reveals Novel Transcription Factors Associated With Immune Infiltration Among Multiple Cancers.Frontiers in immunology · 2021Article
- B-MYB-p53-related relevant regulator for the progression of clear cell renal cell carcinoma.Journal of cancer research and clinical oncology · 2021Article
- Construction and Clinical Translation of Causal Pan-Cancer Gene Score Across Cancer Types.Frontiers in genetics · 2021Article
- Identification of Hub Prognosis-Associated Oxidative Stress Genes in Pancreatic Cancer Using Integrated Bioinformatics Analysis.Frontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, The Cancer Genome Atlas and Genotype-Tissue Expression databases were used to identify potential biomarkers of soft tissue sarcoma (STS) and construct a prognostic model. The model was used to calculate risk scores based on the expression of five key genes, among which MYBL2 and FBN2 were upregulated and TSPAN7, GCSH, and DDX39B were downregulated in STS patients. We also examined gene signatures associated with the key genes and evaluated the model's clinical utility. The key genes were found to be involved in the cell cycle, DNA replication, and various cancer pathways, and gene alterations were associated with a poor prognosis. According to the prognostic model, risk scores negatively correlated with infiltration of six types of immune cells. Furthermore, age, margin status, presence of metastasis, and risk score were independent prognostic factors for STS patients. A nomogram that incorporated the risk score and other independent prognostic factors accurately predicted survival in STS patients. These findings may help to improve prognostic prediction and aid in the identification of effective treatments for STS patients.
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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 Socratic graph.