ReviewImmunology2019
Computational approaches for characterizing the tumor immune microenvironment.
Review in Immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed.
- Aberrant expression of GBP5 in tumor-infiltrating immune cells as an onco-immunological biomarker in pan-cancer.Discover oncology · 2026Article
- Immune microenvironment in hepatocellular carcinoma: from pathogenesis to immunotherapy.Cellular & molecular immunology · 2025Review
- Informatics at the Frontier of Cancer Research.Cancer research · 2025Review
- Deconer: An Evaluation Toolkit for Reference-based Deconvolution Methods Using Gene Expression Data.Genomics, proteomics & bioinformatics · 2025Article
- Molecular subtyping combined with multiomics analysis to study correlation between TACE refractoriness and tumor stemness in hepatocellular carcinoma.Discover oncology · 2025Article
- Article
- Single-Cell RNA-Sequencing: Opening New Horizons for Breast Cancer Research.International journal of molecular sciences · 2024Review
- Decomprolute is a benchmarking platform designed for multiomics-based tumor deconvolution.Cell reports methods · 2024Article
- Current Technologies and Future Perspectives in Immunotherapy towards a Clinical Oncology Approach.Biomedicines · 2024Review
- Advancements in technology for characterizing the tumor immune microenvironment.International journal of biological sciences · 2024Review
- Prognostic and immunotherapeutic significances of M2 macrophage-related genes signature in lung cancer.Journal of Cancer · 2024Article
- High CD49a+ NK cell infiltrate is associated with poor clinical outcomes in Hepatocellular Carcinoma.Heliyon · 2023Article
- Machine learning-based cluster analysis of immune cell subtypes and breast cancer survival.Scientific reports · 2023Article
- Comparative Analysis of Cell Mixtures Deconvolution and Gene Signatures Generated for Blood, Immune and Cancer Cells.International journal of molecular sciences · 2023Article
- Tumor microenvironment: barrier or opportunity towards effective cancer therapy.Journal of biomedical science · 2022Review
- A novel 12-gene prognostic signature in breast cancer based on the tumor microenvironment.Annals of translational medicine · 2022Article
- Clinical M2 Macrophage-Related Genes Can Serve as a Reliable Predictor of Lung Adenocarcinoma.Frontiers in oncology · 2022Article
- The Effect of Hypoxia and Hypoxia-Associated Pathways in the Regulation of Antitumor Response: Friends or Foes?Frontiers in immunology · 2022Review
- Evaluation of the Antitumour and Antiproliferative Effect of Xanthohumol-Loaded PLGA Nanoparticles on Melanoma.Materials (Basel, Switzerland) · 2021Article
- The landscape of tumor cell states and ecosystems in diffuse large B cell lymphoma.Cancer cell · 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
3 authors.
Funding
Abstract
Recent advances in high-throughput molecular profiling technologies and multiplexed imaging platforms have revolutionized our ability to characterize the tumor immune microenvironment. As a result, studies of tumor-associated immune cells increasingly involve complex data sets that require sophisticated methods of computational analysis. In this review, we present an overview of key assays and related bioinformatics tools for analyzing the tumor-associated immune system in bulk tissues and at the single-cell level. In parallel, we describe how data science strategies and novel technologies have advanced tumor immunology and opened the door for new opportunities to exploit host immunity to improve cancer clinical outcomes.
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.