ArticleBioMed research international2020
Identification of Prognosis-Related Genes in Bladder Cancer Microenvironment across TCGA Database.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 16 citations in OpenAlex.
- Prognostic nomogram based on the lymph node metastasis indicators for patients with bladder cancer: A SEER population-based study and external validation.Cancer medicine · 2023Trial
- OLFML2B promotes hepatocellular carcinoma malignancy via the PI3K/AKT-EMT axis and correlates with an immunosuppressive tumor microenvironment.Frontiers in immunology · 2026Article
- Construction of a survival prognosis model for epithelial-mesenchymal transition-related genes in gastric cancer.European journal of medical research · 2025Article
- The SPINK Protein Family in Cancer: Emerging Roles in Tumor Progression, Therapeutic Resistance, and Precision Oncology.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Integrating analysis of multi-omics summary data identifies novel plasma protein biomarkers and drug targets for bladder cancer.Discover oncology · 2025Article
- Developing a Novel Prognostic Model Based on Muscle-Invasive Bladder Cancer Types: A Multicenter Retrospective Cohort Study of Patients Who Received Radical Cystectomy and Chemotherapy.Annals of surgical oncology · 2024Article
- Identification of CAPG as a potential prognostic biomarker associated with immune cell infiltration and ferroptosis in uterine corpus endometrial carcinoma.Frontiers in endocrinology · 2024Article
- Integrating bioinformatic analysis and detailed experiments reveal an EMT-related biomarker for clear cell renal cell carcinoma.Cancer medicine · 2023Article
- Homeobox Gene Expression Dysregulation as Potential Diagnostic and Prognostic Biomarkers in Bladder Cancer.Diagnostics (Basel, Switzerland) · 2023Review
- The biological functions and related signaling pathways of SPON2.Frontiers in oncology · 2023Review
- Pan-Cancer Analysis of OLFML2B Expression and Its Association With Prognosis and Immune Infiltration.Frontiers in genetics · 2022Article
- Prognostic and Immunological Value of GNB4 in Gastric Cancer by Analyzing TCGA Database.Disease markers · 2022Article
- SPINKs in Tumors: Potential Therapeutic Targets.Frontiers in oncology · 2022Review
- CXCL12 and CD3E as Indicators for Tumor Microenvironment Modulation in Bladder Cancer and Their Correlations With Immune Infiltration and Molecular Subtypes.Frontiers in oncology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBladder cancer (BCa) is a common urothelial malignancy. The Cancer Genome Atlas (TCGA) database allows for an opportunity to analyze the relationship between gene expression and clinical outcomes in bladder cancer patients. This study is aimed at identifying prognosis-related genes in the bladder cancer microenvironment.
methodsImmune scores and stromal scores were calculated by applying the ESTIMATE algorithm. We divided bladder cancer patients into high and low groups based on their immune/stromal scores. Then, differentially expressed genes (DEGs) were identified in bladder cancer patients based on the TCGA database. We evaluated the correlation between immune/stromal scores and clinical characteristics as well as prognosis. Finally, we validated identified genes associated with bladder cancer prognosis through a cohort study in the Gene Expression Omnibus (GEO) database.
resultsA higher stromal score was associated with female (vs. male
conclusionsOur study elucidated tight associations between stromal score and clinical characteristics as well as prognosis in BCa. Moreover, we obtained a group of genes closely related to the prognosis of BCa in the tumor microenvironment.
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.