ArticleBioMed research international2020
Bioinformatics Analysis to Screen the Key Prognostic Genes in Tumor Microenvironment of Bladder Cancer.
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 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Nutraceutical Evaluation of Trigonelline's Therapeutic Potential by Targeting Bladder Cancer Stem Cells and Cancer-Associated Fibroblasts via Downregulation of TGFβ3/GLI2/YAP1 Signaling Hub.International journal of medical sciences · 2025Article
- Sarcomatoid-associated gene risk index for clear cell renal cell carcinoma.Frontiers in genetics · 2022Article
- Identification and immunoprofiling of key prognostic genes in the tumor microenvironment of hepatocellular carcinoma.Bioengineered · 2021Article
- Identification of tumor microenvironment-related prognostic genes in colorectal cancer based on bioinformatic methods.Scientific reports · 2021Article
- Identification of a tumor microenvironment-related seven-gene signature for predicting prognosis in bladder cancer.BMC cancer · 2021Article
- Prognostic value of tumour microenvironment-related genes by TCGA database in rectal cancer.Journal of cellular and molecular medicine · 2021Article
- An Exploration of the Tumor Microenvironment Identified a Novel Five-Gene Model for Predicting Outcomes in Bladder Cancer.Frontiers in oncology · 2021Article
- Identification of Tumor Microenvironment-Related Prognostic Genes in Sarcoma.Frontiers in genetics · 2021Article
- Bioinformatics analysis to screen key prognostic genes in the breast cancer tumor microenvironment.Bioengineered · 2020Article
- Construction of a risk signature for adrenocortical carcinoma using immune-related genes.Translational andrology and urology · 2020Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bladder cancer (BLCA) is the fifth most common cancer and has the features of low survival rate and high morbidity and mortality. The Cancer Genome Atlas (TCGA) is a pool of global gene expression profile and contains huge amounts of cancer genomics data, which makes it possible to inquire the relationship between gene expression and prognosis of a series of malignant tumors including BLCA. Immune and stromal cells are two major components of tumor microenvironment (TME) which play an important role in judging the prognosis of tumor and influencing the progression of malignant, inflammatory, and metabolic disorders. In our study, we conducted a quantitative analysis of immune and stromal elements based on the ESTIMATE algorithm and thus divided BLCA cases into high and low groups. Then the differentially expressed genes closely related to tumor prognosis between groups were identified and had been shown to correlate with immune response and stromal alterations, which was further confirmed by functional enrichment analysis and protein-protein interaction networks. We validated those genes through BLCA dates downloaded from ArrayExpress and thus got the marker genes to predict prognosis of BLCA. Additionally, immune cell infiltration analysis explored the correlation between the verified genes and immune cells. In conclusion, we identified a series of TME-related genes that assess the prognosis and explored the interaction between TME and tumor prognosis to guide clinical individualized treatment.
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