ArticleFrontiers in oncology2019
Screening and Identifying Immune-Related Cells and Genes in the Tumor Microenvironment of Bladder Urothelial Carcinoma: Based on TCGA Database and Bioinformatics.
Article in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed, 59 citations in OpenAlex.
- Unlocking the prognostic power of pathomics in bladder cancer: a machine learning odyssey across multiple centers.BMC medical imaging · 2026Article
- The HER2 target for designing novel multi-peptide vaccine against breast cancer using immunoinformatics and molecular dynamic simulation.Biochemistry and biophysics reports · 2025Article
- Pathomics-based machine learning model predicts interferon-gamma expression in head and neck squamous cell carcinoma patients.Frontiers in immunology · 2025Article
- IGF2BP2 Shapes the Tumor Microenvironment by Regulating Monocyte and Macrophage Recruitment in Bladder Cancer.Cancer medicine · 2024Article
- Clinical significance and expression of SLC35F6 in bladder urothelial carcinoma.Diagnostic pathology · 2024Article
- Article
- Immunochemistry-based quantification of tumor-infiltrating lymphocytes and immunoscore as prognostic biomarkers in bladder cancer.Journal of the Egyptian National Cancer Institute · 2024Article
- PRR11 is a prognostic biomarker and correlates with immune infiltrates in bladder urothelial carcinoma.Scientific reports · 2023Article
- Impact of tissue inhibitor of metalloproteinases-3 genetic variants on clinicopathological characteristics of urothelial cell carcinoma.Journal of Cancer · 2023Article
- Article
- Development and experimental verification of a prognosis model for cuproptosis-related subtypes in HCC.Hepatology international · 2022Article
- A signature based on five immune-related genes to predict the survival and immune characteristics of neuroblastoma.BMC medical genomics · 2022Article
- Identification of an immune-related gene signature as a prognostic target and the immune microenvironment for adrenocortical carcinoma.Immunity, inflammation and disease · 2022Article
- Characterization of somatic mutations and pathway alterations during hepatocellular carcinoma vascular invasion using next-generation sequencing.Journal of gastrointestinal oncology · 2022Article
- Protein-based prognostic signature for predicting the survival and immunotherapeutic efficiency of endometrial carcinoma.BMC cancer · 2022Article
- Expressions of PD-L1 and Nectin-4 in urothelial cancer patients treated with pembrolizumab.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022Article
- Identification of adenylate cyclase 2 methylation in bladder cancer with implications for prognosis and immunosuppressive microenvironment.Frontiers in oncology · 2022Article
- Tumor microenvironment and epithelial-mesenchymal transition in bladder cancer: Cytokines in the game?Frontiers in molecular biosciences · 2022Review
- Up-regulation of S100P predicts the poor long-term survival and construction of prognostic signature for survival and immunotherapy in patients with pancreatic cancer.Bioengineered · 2021Article
- The prognostic value of plasma complement factor B (CFB) in thyroid carcinoma.Bioengineered · 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
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bladder cancer is the most common cancer of the urinary system and its treatment has scarcely progressed for nearly 30 years. Advances in checkpoint inhibitor research have seemingly provided a new approach for treatment. However, there have been issues predicting immunotherapeutic biomarkers and identifying new therapeutic targets. We downloaded the gene expression profile and clinical data of 408 cases bladder urinary cancer from the Cancer Genome Atlas (TCGA) portal, and the abundance ratio of immune cells for each sample was obtained via the "Cell Type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT)" algorithm. Then, four survival-related immune cells were obtained via Kaplan-Meier survival analysis, and 933 immune-related genes were obtained via a variance analysis. Enrichment, protein-protein interaction, and co-expression analyses were performed for these genes. Lastly, 4 survival-related immune cells and 24 hub genes were identified, four of which were related to overall survival. More importantly, these immune cells and genes were closely related to the clinical features. These cells and genes may have research value and clinical application in bladder cancer immunotherapy. Our study not only provides cell and gene targets for bladder cancer immunotherapy, but also provides new ideas for researchers to explore the immunotherapy of various tumors.
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.