ArticleiScience2023
A cancer-associated fibroblast subtypes-based signature enables the evaluation of immunotherapy response and prognosis in bladder cancer.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Single cell and spatial sequencing analysis of cancer associated fibroblasts in the brain metastasis tumor microenvironment.Communications biology · 2026Article
- A machine learning-based epigenetic signature reveals YTHDC1 stabilizes POU5F1 to oppose tumor progression.Journal of translational medicine · 2026Article
- Exploring the underlying mechanisms of Hedyotis diffusa and Scutellaria Barbata herb pair on the prognosis and treatment efficacy of bladder cancer patients: an integrated approach of network pharmacology and bioinformatics analysis.BMC complementary medicine and therapies · 2026Article
- Identification and Validation of FOXK1-Related Biomarkers in Diabetic Retinopathy.International journal of general medicine · 2026Article
- Identification of DNA Replication Stress-Related Genes as Prognostic Biomarkers for Bladder Cancer.Combinatorial chemistry & high throughput screening · 2026Article
- Transcriptome and single-cell RNA sequencing analysis with 101 machine learning combinations and experimental verification reveals the mechanism of action of mannose metabolism in bladder cancer.Frontiers in immunology · 2026Article
- Role of the tumor microenvironment in promoting treatment resistance in urothelial carcinoma (Review).Molecular medicine reports · 2025Review
- Identification of molecular subtypes and prognostic risk model of glucocorticoid-related lncRNAs in bladder cancer to evaluate prognosis and immunological characteristics.Translational andrology and urology · 2025Article
- Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics analysis.Frontiers in immunology · 2025Article
- Clinical application and drug resistance mechanism of gemcitabine.Frontiers in cell and developmental biology · 2025Review
- A multi-omics atlas of CAF subtypes reveals apCAF-M2 macrophage interactions driving immune resistance in glioma.PloS one · 2025Article
- Article
- Establish TIIC signature score based the machine learning fusion in bladder cancer.Discover oncology · 2024Article
- Exploring prognostic DNA methylation genes in bladder cancer: a comprehensive analysis.Discover oncology · 2024Article
- Exploring the diversity of cancer-associated fibroblasts: insights into mechanisms of drug resistance.Frontiers in cell and developmental biology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bladder cancer (BLCA) is one of the most prevalent and heterogeneous urinary malignant tumors. Previous researches have reported a significant association between cancer-associated fibroblasts (CAFs) and poor prognosis of tumor patients. However, uncertainty surrounds the role of CAFs in the BLCA tumor microenvironment, necessitating further investigation into the CAFs-related gene signatures in BLCA. In this study, we identified three CAF subtypes in BLCA according to single-cell RNA-seq data and constructed CAFs-related risk score (CRRS) by screening 102,714 signatures. The survival analysis, ROC curves, and nomogram suggested that CRRS was a valuable predictor in 2,042 patients from 9 available public datasets and Xiangya real-world cohort. We further revealed the significant correlation between CRRS and clinicopathological characteristics, genome alterations, and epithelial-mesenchymal transition (EMT). A high CRRS indicated a non-inflamed phenotype and a lower remission rate of immunotherapy in BLCA. In conclusion, the CRRS had the potential to predict the prognosis and immunotherapy response of BLCA patients.
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.