ReviewCancer immunology, immunotherapy : CII2018
Quantifying tumor-infiltrating immune cells from transcriptomics data.
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 273 papers.
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.
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
273 citing papers in PubMed, 420 citations in OpenAlex.
- Machine Learning-Derived Immune Gene Signature Predicts Prognosis and Therapeutic Vulnerabilities in Multiple Myeloma.Cancer science · 2026Article
- Targeting macrophage-associated core genes for prognostic prediction and therapeutic insights in bladder cancer.Discover oncology · 2026Article
- Loss of ARID1A expression is associated with worse survival and reduced tumor infiltrating lymphocytes in advanced clear cell renal cell carcinoma.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Article
- Article
- Transcriptomic profiling across stages of non-muscle-invasive bladder cancer identifies fibroblast activation protein-alpha as a stromal biomarker associated with progression.Molecular medicine (Cambridge, Mass.) · 2026Article
- QuTILs: Open-Source Image-Based Infiltrating Immune Cell Detection for Research Application.Research square · 2026Article
- FGFR1 suppresses ovarian cancer progression by modulating SIRT3-dependent lactylation and metabolic reprogramming.Cell death discovery · 2026Article
- Characterization of Immune Infiltrating Cells in Bladder Urothelial Carcinoma and Its Clinical Significance.Cancer medicine · 2026Article
- PTGDS is a potential marker for lung adenocarcinoma identified in a pancancer analysis.Scientific reports · 2026Article
- A guide to transcriptomic deconvolution in cancer.Nature reviews. Cancer · 2026Review
- omnideconv: a unifying framework for using and benchmarking single-cell-informed deconvolution of bulk RNA-seq data.Genome biology · 2026Article
- Multi-Scale Transcriptomics Redefining the Tumor Immune Microenvironment.Biotech (Basel (Switzerland)) · 2026Review
- Article
- Irofulven and RSL3 synergistically target ferroptosis-related gene PTGR1 to treat head and neck squamous cell carcinoma.Open life sciences · 2026Article
- In Silico Analysis of Squamous Cell Carcinoma.Advances in experimental medicine and biology · 2026Review
- Integrative bioinformatics screening of a M2 macrophage-associated gene signature for osimertinib resistance.Frontiers in genetics · 2026Article
- Gut microbiome-mediated primary and acquired resistance to immune checkpoint inhibitors in MSI-H/dMMR colorectal cancer: mechanisms, biomarkers, and therapeutic implications-a narrative review.Frontiers in cellular and infection microbiology · 2026Review
- A review on in-silico analysis of immune cell trafficking and interactions with the tumour microenvironment.Frontiers in oncology · 2026Review
- Iron Dyshomeostasis and Divergent Antigen Presentation Remodeling in Bronchiectasis: A Dual-Dataset Transcriptomic Analysis.Journal of inflammation research · 2026Article
- Immune Infiltration-Related Genes as Potential Biomarkers and Predicted Targets for Renal Allograft Delayed Graft Function and Survival Outcome: An Integrated Machine Learning Approach and Drugs Analysis.Mediators of inflammation · 2026Article
213 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
2 authors at 1 institution in 1 country.
Funding
Abstract
By exerting pro- and anti-tumorigenic actions, tumor-infiltrating immune cells can profoundly influence tumor progression, as well as the success of anti-cancer therapies. Therefore, the quantification of tumor-infiltrating immune cells holds the promise to unveil the multi-faceted role of the immune system in human cancers and its involvement in tumor escape mechanisms and response to therapy. Tumor-infiltrating immune cells can be quantified from RNA sequencing data of human tumors using bioinformatics approaches. In this review, we describe state-of-the-art computational methods for the quantification of immune cells from transcriptomics data and discuss the open challenges that must be addressed to accurately quantify immune infiltrates from RNA sequencing data of human bulk tumors.
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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.