ReviewCurrent opinion in immunology2016
High-throughput genomic profiling of tumor-infiltrating leukocytes.
Review in Current opinion in immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- scPER: A Rigorous Computational Approach to Determine Cellular Subtypes in Tumors Aligned With Cancer Phenotypes From Total RNA Sequencing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- omnideconv: a unifying framework for using and benchmarking single-cell-informed deconvolution of bulk RNA-seq data.Genome biology · 2026Article
- Comparative evaluation of HTG and TempO Seq targeted transcriptome profiling methods.Scientific reports · 2026Article
- A novel immune-related gene prognostic signature combining immune cell infiltration and immune checkpoint for glioblastoma patients.Translational cancer research · 2024Article
- Cell-type deconvolution for bulk RNA-seq data using single-cell reference: a comparative analysis and recommendation guideline.Briefings in bioinformatics · 2024Article
- Emerging measurements for tumor-infiltrating lymphocytes in breast cancer.Japanese journal of clinical oncology · 2024Review
- Circadian rhythm regulates the function of immune cells and participates in the development of tumors.Cell death discovery · 2024Review
- Article
- Dynamics and specificities of T cells in cancer immunotherapy.Nature reviews. Cancer · 2023Review
- Deconvolution analysis of cell-type expression from bulk tissues by integrating with single-cell expression reference.Genetic epidemiology · 2022Article
- Tumor microenvironment: barrier or opportunity towards effective cancer therapy.Journal of biomedical science · 2022Review
- Article
- Circadian regulation of cancer cell and tumor microenvironment crosstalk.Trends in cell biology · 2021Review
- Article
- Impact of storage conditions on peripheral leukocytes transcriptome.Molecular biology reports · 2021Article
- Pan-Cancer Analysis of Immune Cell Infiltration Identifies a Prognostic Immune-Cell Characteristic Score (ICCS) in Lung Adenocarcinoma.Frontiers in immunology · 2020Article
- Profiling Cell Type Abundance and Expression in Bulk Tissues with CIBERSORTx.Methods in molecular biology (Clifton, N.J.) · 2020Article
- Subsets of mononuclear phagocytes are enriched in the inflamed colons of patients with IBD.BMC immunology · 2019Article
- Review
- Comprehensive evaluation of transcriptome-based cell-type quantification methods for immuno-oncology.Bioinformatics (Oxford, England) · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Tumors are complex ecosystems comprised of diverse cell types including malignant cells, mesenchymal cells, and tumor-infiltrating leukocytes (TILs). While TILs are well known to play important roles in many aspects of cancer biology, recent developments in immuno-oncology have spurred considerable interest in TILs, particularly in relation to their optimal engagement by emerging immunotherapies. Traditionally, the enumeration of TIL phenotypic diversity and composition in solid tumors has relied on resolving single cells by flow cytometry and immunohistochemical methods. However, advances in genome-wide technologies and computational methods are now allowing TILs to be profiled with increasingly high resolution and accuracy directly from RNA mixtures of bulk tumor samples. In this review, we highlight recent progress in the development of in silico tumor dissection methods, and illustrate examples of how these strategies can be applied to characterize TILs in human tumors to facilitate personalized cancer therapy.
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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.