ArticleNucleic acids research2021
TISCH: a comprehensive web resource enabling interactive single-cell transcriptome visualization of tumor microenvironment.
Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 751 papers, 1 of them a synthesis that pooled it.
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
751 citing papers in PubMed, 1 synthesis or guideline pooled it, 1,137 citations in OpenAlex.
- RGS Family Remodeling in Breast Cancer: A Meta-Analysis and Multi-Omics Profiling of Prognostic Biomarkers.Cancer medicine · 2026Pooled it
- Integrated bulk, single-cell and spatial transcriptomic analyses identify KIFC1 as a driver of malignant progression in lung adenocarcinoma.Molecular biology reports · 2026Article
- Pan-Cancer Multi-Omics Analysis Reveals the Potential of ZDHHC16 in Tumor Progression and Immune Regulation.Chemical biology & drug design · 2026Article
- ABHD17C-Mediated S-Depalmitoylation of BCL6B Enhances CD24 Transcription to Resist Macrophage Phagocytosis in Pancreatic Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Comprehensive Pan-Cancer Analysis of ABCA1: Insights From Multi-Omics Data and Exploratory Validation in Esophageal Squamous Cell Carcinoma.Cell biochemistry and function · 2026Article
- Article
- Systemic immunosuppression limits NK cell therapy efficacy in pancreatic cancer.Molecular cancer · 2026Article
- Article
- ITGAX is associated with poor prognosis and an immune-inflammatory microenvironment in clear cell renal cell carcinoma.BMC cancer · 2026Article
- TMEM72 Inhibits the proliferation by promoting cellular senescence through the activation of the P38/MAPK signaling pathway in renal cell carcinoma.Translational oncology · 2026Article
- Identification of telomere-related gene signatures for immune cell infiltration and prognosis in hepatocellular carcinoma.Translational cancer research · 2026Article
- Identification and validation of BLK and OSBPL10 as diagnostic and prognostic biomarkers for nasopharyngeal carcinoma through machine learning algorithms.Scientific reports · 2026Article
- Comprehensive Bioinformatic Characterization of CD70, CD80, and TIGIT as Diagnostic, Prognostic, and Immune Biomarkers in Pan-Cancer.Current issues in molecular biology · 2026Article
- USP20 as a key regulator of immunosuppression and a novel predictor of poor prognosis in lung adenocarcinoma.Biology direct · 2026Article
- FGD3 as a prognostic and immunological biomarker: a pan-cancer analysis of its role in tumor progression and the immune landscape.Cancer cell international · 2026Article
- Comprehensive multi-omics pan-cancer analysis revealed that ANTXR1 is a potential biomarker for diagnosis and immunotherapy.Biology direct · 2026Article
- Multi-omics and spatial transcriptomics identify KCMF1 as an immune-metabolic driver of hepatocellular carcinoma progression.Discover oncology · 2026Article
- Multi-omics profiling reveals tumor microenvironment characteristics linked to immunotherapy response and prognosis in non-small cell lung cancer.NPJ precision oncology · 2026Article
- Effect of TGFβ-ITGB6 feedback loop on liver metastasis in SMAD4 wild-type pancreatic cancer.Chinese medical journal · 2026Article
- Transformers for single-cell RNA sequencing: a survey.Briefings in bioinformatics · 2026Review
691 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer immunotherapy targeting co-inhibitory pathways by checkpoint blockade shows remarkable efficacy in a variety of cancer types. However, only a minority of patients respond to treatment due to the stochastic heterogeneity of tumor microenvironment (TME). Recent advances in single-cell RNA-seq technologies enabled comprehensive characterization of the immune system heterogeneity in tumors but posed computational challenges on integrating and utilizing the massive published datasets to inform immunotherapy. Here, we present Tumor Immune Single Cell Hub (TISCH, http://tisch.comp-genomics.org), a large-scale curated database that integrates single-cell transcriptomic profiles of nearly 2 million cells from 76 high-quality tumor datasets across 27 cancer types. All the data were uniformly processed with a standardized workflow, including quality control, batch effect removal, clustering, cell-type annotation, malignant cell classification, differential expression analysis and functional enrichment analysis. TISCH provides interactive gene expression visualization across multiple datasets at the single-cell level or cluster level, allowing systematic comparison between different cell-types, patients, tissue origins, treatment and response groups, and even different cancer-types. In summary, TISCH provides a user-friendly interface for systematically visualizing, searching and downloading gene expression atlas in the TME from multiple cancer types, enabling fast, flexible and comprehensive exploration of the TME.
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.