ReviewNature reviews. Cancer2020
Metabolism of immune cells in cancer.
Review in Nature reviews. Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 516 papers, 3 of them syntheses 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
516 citing papers in PubMed, 3 syntheses or guidelines pooled it, 830 citations in OpenAlex.
- Tumour-Associated Neutrophils in Colorectal Cancer: a Systematic Review, Meta-analysis, and Comprehensive Literature Review.Journal of gastrointestinal cancer · 2026Pooled it
- Prognostic and clinicopathological significance of C-reactive protein-albumin-lymphocyte(CALLY) in patients with digestive system neoplasms: a systematic review and meta-analysis.World journal of surgical oncology · 2025Pooled it
- Multilevel Mechanisms of Cancer Drug Resistance.International journal of molecular sciences · 2024Pooled it
- Article
- Targeting myeloid cell plasticity and metabolic reprogramming to alleviate T cell dysfunction and exhaustion-associated states and enhance immune checkpoint blockade therapy.Biomarker research · 2026Review
- Integrated transcriptomic and metabolomic analyses reveal host-metabolite interactions underlying cloacal inflammation in laying Pekin ducks.Animal bioscience · 2026Article
- Natural killer cell-based therapy for hepatocellular carcinoma (HCC): A literature review.Medical oncology (Northwood, London, England) · 2026Review
- Heterogeneity in cancer: molecular mechanisms and therapeutic strategies.Signal transduction and targeted therapy · 2026Review
- Multi-omics analysis of arginine metabolism in ovarian cancer: A prognostic signature and GTF2F2-driven stromal remodeling.Translational oncology · 2026Article
- Mitochondrial Fitness as a Functional Immune Checkpoint in Cancer: Metabolic Plasticity, Tumor Evolution, and Immunotherapy.Cancers · 2026Review
- A lactate-α-ketoglutarate metabolic circuit in tumor-infiltrating regulatory T cells accelerates tumor progression by inducing NK cell senescence.Nature cancer · 2026Article
- Review
- The Cancer Cell Metabolic Reprogramming Remodels the Tumor Microenvironment: Molecular Mechanisms and Therapeutic Strategies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Lactate as a Master Regulator of Immune Suppression: From Metabolic Waste to Epigenetic Checkpoint in Colorectal Cancer.International journal of molecular sciences · 2026Review
- Targeting colorectal cancer and T‑cell metabolism for the treatment of colorectal cancer (Review).Oncology reports · 2026Review
- Oncometabolites in Cancer Metabolism: Mechanistic Insights and Biomarker Potential- A Narrative Review.Health science reports · 2026Article
- Synthesis and Antitumor Mechanism of Emodin-Derived Transition Metal Complexes.Molecules (Basel, Switzerland) · 2026Article
- Metabolic Reprogramming in Oral Cancer: A Narrative Review of Therapeutic Perspectives with Emphasis on Dichloroacetate.Current issues in molecular biology · 2026Review
- Integrative single-cell and spatial transcriptomic analysis reveals a lactate-driven crosstalk between NFATc4⁺ tumor cells and SPP1⁺ macrophages in glioblastoma.Journal of translational medicine · 2026Article
- AMPK Suppresses Multiple Forms of Cell Death Including Disulfidptosis in Tumor-Associated Macrophages During Tumor Progression.International journal of molecular sciences · 2026Article
456 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
Through the successes of checkpoint blockade and adoptive cellular therapy, immunotherapy has become an established treatment modality for cancer. Cellular metabolism has emerged as a critical determinant of the viability and function of both cancer cells and immune cells. In order to sustain prodigious anabolic needs, tumours employ a specialized metabolism that differs from untransformed somatic cells. This metabolism leads to a tumour microenvironment that is commonly acidic, hypoxic and/or depleted of critical nutrients required by immune cells. In this context, tumour metabolism itself is a checkpoint that can limit immune-mediated tumour destruction. Because our understanding of immune cell metabolism and cancer metabolism has grown significantly in the past decade, we are on the cusp of being able to unravel the interaction of cancer cell metabolism and immune metabolism in therapeutically meaningful ways. Although there are metabolic processes that are seemingly fundamental to both cancer and responding immune cells, metabolic heterogeneity and plasticity may serve to distinguish the two. As such, understanding the differential metabolic requirements of the diverse cells that comprise an immune response to cancer offers an opportunity to selectively regulate immune cell function. Such a nuanced evaluation of cancer and immune metabolism can uncover metabolic vulnerabilities and therapeutic windows upon which to intervene for enhanced immunotherapy.
Indexed as
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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.