ReviewCancer immunology, immunotherapy : CII2018
Transcriptomic analysis of the tumor microenvironment to guide prognosis and immunotherapies.
Review in Cancer immunology, immunotherapy : CII, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
93 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic and predictive values of CXCL10 in colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020Pooled it
- Identification and validation of a prognostic risk-scoring model in drug-resistant ALL and evaluation of immune micro-environment.Annals of hematology · 2026Article
- Solid tumors exploit proton-sensing GPR65 for orchestration of an immunosuppressive tumor microenvironment.Signal transduction and targeted therapy · 2026Article
- ITPG: an immune-related transcriptomic predictive model for gastric cancer prognosis.Translational cancer research · 2026Article
- AI-enabled multi-omics integration in colorectal cancer: from molecular stratification to clinical translation.Frontiers in cell and developmental biology · 2026Review
- Construction of a novel 3-gene diagnostic signature related to senescence in intervertebral disc degeneration.European journal of medical research · 2025Article
- Transient Receptor Potential Melastatin 4 (TRPM4) is associated with an immuno-stimulatory TME and better prognosis in BLCA.Discover oncology · 2025Article
- Integrative functional genomics analysis of Kaposi sarcoma cohorts.Scientific reports · 2025Article
- Novel Computational Analysis Identifies Cytotoxic Lymphocyte-to-Monocyte Balance in Tumors as a Predictor of Recurrence-Free Survival in Colorectal Carcinoma.Annals of surgical oncology · 2025Article
- HIDE: hierarchical cell-type deconvolution.Bioinformatics (Oxford, England) · 2025Article
- PXMP2 inhibits tumor stemness and immune infiltration in hepatocellular carcinoma based on stemness risk.Discover oncology · 2025Article
- RNA mDiscover oncology · 2025Article
- Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic cardiomyopathy.Scientific reports · 2025Article
- Tumor microenvironment and drug resistance in lung adenocarcinoma: molecular mechanisms, prognostic implications, and therapeutic strategies.Discover oncology · 2025Article
- Expression pattern of cancer-associated cellular senescence genes in clear cell renal cell carcinoma distinguishes tumor subclasses with clinical implications.Scientific reports · 2025Article
- A high stroma-tumor ratio is associated with an immunosuppressive tumor microenvironment and a poor prognosis in bladder cancer.Frontiers in oncology · 2025Article
- Deciphering the Prognostic Landscape of Esophageal Adenocarcinoma: A PANoptosis-Related Gene Signature.Journal of Cancer · 2025Article
- The solid tumor microenvironment and related targeting strategies: a concise review.Frontiers in immunology · 2025Review
- iRGD-Targeted Biosynthetic Nanobubbles for Ultrasound Molecular Imaging of Osteosarcoma.International journal of nanomedicine · 2025Article
- Integrated immunogenomic analysis of single-cell and bulk profiling reveals novel tumor antigens and subtype-specific therapeutic agents in lung adenocarcinoma.Computational and structural biotechnology journal · 2024Article
33 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Tumors are highly heterogeneous tissues where malignant cells are surrounded by and interact with a complex tumor microenvironment (TME), notably composed of a wide variety of immune cells, as well as vessels and fibroblasts. As the dialectical influence between tumor cells and their TME is known to be clinically crucial, we need tools that allow us to study the cellular composition of the microenvironment. In this focused research review, we report MCP-counter, a methodology based on transcriptomic markers that assesses the proportion of several immune and stromal cell populations in the TME from transcriptomic data, and we highlight how it can provide a way to decipher the complex mechanisms at play in tumors. In several malignancies, MCP-counter scores have been used to show various prognostic impacts of the TME, which we also show to be linked with the mutational burden of tumors. We also compared established molecular classifications of colorectal cancer and clear-cell renal cell carcinoma with the output of MCP-counter, and show that molecular subgroups have different TME profiles, and that these profiles are consistent within a given subgroup. Finally, we provide insights as to how knowing the TME composition may shape patient care in the near future.
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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.