Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Fibroblast Common Serum Response Signature-Related Classification Affects the Tumour Microenvironment and Predicts Prognosis in Bladder Cancer.

Oxidative medicine and cellular longevity - 1 Jan 2022

Yang Xiangchou, Zhou Yangyang, Huang Linjing, Lin Shang, Ye Haihao, Shan Yujuan

Abstract excerpt

Abnormal oncogenic signatures provide important clues regarding cancer prognosis and treatment. We analysed the variations in 189 oncogenic signature gene sets between normal and tumourous tissues from The Cancer Genome Atlas (TCGA) and found that the "CSR_LATE_UP" signature was the most upregulated oncogenic signature gene set in bladder cancer. Next, we developed a common serum response (CSR) risk score (CRS)...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Fibroblasts
Share to Phenotype

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Prognosis

Share to Tumor Microenvironment

Share to Urinary Bladder Neoplasms

Source

Open in PubMed Open full text

Identifiers

PMID: 36312898
DOI: 10.1155/2022/5645944
PMCID: PMC9606836

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Fibroblast Common Serum Response Signature-Related Classification Affects the Tumour Microenvironment and Predicts Prognosis in Bladder Cancer.PMID 36312898Read ↗

An IFN-γ-related signature predicts prognosis and immunotherapy response in bladder cancer: Results from real-world cohortsSemantic proximity Read ↗

Single-cell and bulk RNA-sequence identiﬁed ﬁbroblasts signature and CD8 + T-cell - ﬁbroblast subtype predicting prognosis and immune therapeutic response of bladder cancer, based on machine learning: bioinformatics multi-omics studySemantic proximity Read ↗

Development and validation of cancer-associated fibroblasts-related gene landscape in prognosis and immune microenvironment of bladder cancerSemantic proximity Read ↗

Construction of a Novel T Cell Subtype with Immunotherapeutic Value in Bladder Cancer and a Neural Network-Based Prognostic ModelSemantic proximity Read ↗

Identification of a Prognosis-Related Risk Signature for Bladder Cancer to Predict Survival and Immune LandscapesSemantic proximity Read ↗

Integrating single-cell RNA-seq to identify fibroblast-based molecular subtypes for predicting prognosis and therapeutic response in bladder cancerSemantic proximity Read ↗

An Evaluation of the Tumor Microenvironment through CALR, IL1R1, IFNB1, and IFNG to Assess Prognosis and Immunotherapy Response in Bladder Cancer PatientsSemantic proximity Read ↗

Development of a prognostic index and screening of prognosis related genes based on an immunogenomic landscape analysis of bladder cancerSemantic proximity Read ↗

Targeting Macrophage-Associated Core Genes for Prognostic Prediction and Therapeutic Insights in Bladder CancerSemantic proximity Read ↗

Construction of an immune‐related LncRNA signature with prognostic significance for bladder cancerSemantic proximity Read ↗

Identification and Validation of a Stromal EMT Related LncRNA Signature as a Potential Marker to Predict Bladder Cancer OutcomeSemantic proximity Read ↗

A Five-Gene Stromal-EMT Signature Predicts Prognosis, Immunotherapy Resistance, and Therapeutic Vulnerability in Bladder CancerSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.