ReviewSeminars in immunopathology2023
CAF-immune cell crosstalk and its impact in immunotherapy.
Review in Seminars in immunopathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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.
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
38 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- Heating the Cold: Overcoming Immunotherapy Resistance in Microsatellite-Stable Colorectal Cancer: A Systematic Review.Molecules (Basel, Switzerland) · 2026Pooled it
- Cellular architecture and neighborhood-informed virtual spatial tumor profiling from histopathology.Cell · 2026Article
- Heterogeneity of Cancer-Associated Fibroblasts and Precision Targeting Strategies for Cancer Therapy.Thoracic cancer · 2026Review
- Region-Resolved Integrative Multi-Omic Characterization Reveals Diverse Tumor and Microenvironment Features of Pituitary Neuroendocrine Tumors.Molecular & cellular proteomics : MCP · 2026Article
- Pan-cancer spatial atlas of tertiary lymphoid structures.Science (New York, N.Y.) · 2026Article
- Immune modulatory vaccines targeting tumor microenvironment antigens: recent advances in oncology and beyond.Signal transduction and targeted therapy · 2026Review
- Spatially defined danger zone shapes gastric cancer progression through CCDC80Apoptosis : an international journal on programmed cell death · 2026Article
- Article
- Radiomic features of CECT and SUVmax of dual-tracer PET/CT reveal PD-L1 spatial heterogeneity in PDAC.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Amelioration of colorectal cancer-associated fibroblasts in immunosuppressive microenvironment by ferroptosis-based nanotherapy.Nature communications · 2026Article
- Modeling CAF-tumor interactions to overcome therapy resistance.Journal of experimental & clinical cancer research : CR · 2026Review
- Gasotransmitters bridging tumor biology and immunity: from pathophysiological insights to therapeutic potential.Frontiers in immunology · 2026Review
- Cancer-associated fibroblast heterogeneity and its role in reshaping immunotherapy in solid cancers: potential strategies and clinical promise.Frontiers in cell and developmental biology · 2026Review
- Mechanisms and therapeutic strategies of bidirectional crosstalk between hepatic stellate cell-derived cancer-associated fibroblasts and T cells in immune evasion and therapeutic resistance of hepatocellular carcinoma.Frontiers in immunology · 2026Review
- FGFR Aberrations in Solid Tumors: Mechanistic Insights and Clinical Translation of Targeted Therapies.Cancers · 2025Review
- Intratumoral Microbiota in Lung Cancer: Emerging Roles in TME Modulation and Immunotherapy Response.International journal of molecular sciences · 2025Review
- Comprehensive Pan-Cancer Analysis of ZNF668 Reveals the Prognostic and Immunological Significance of ZNF668.Current issues in molecular biology · 2025Article
- Cancer‑associated fibroblasts in human malignancies, with a particular emphasis on sarcomas (Review).International journal of oncology · 2025Review
- Oncolytic herpes simplex virus reprograms cancer-associated fibroblasts to enhance antitumor immunity in pancreatic cancer.Molecular therapy. Oncology · 2025Article
- Combining single-cell and bulk RNA sequencing to identify CAF-related signature for prognostic prediction and treatment response in patients with melanoma.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumour cells do not exist as isolated entities. Instead, they are surrounded by a variety of cells and extracellular matrix, which form the tumour microenvironment (TME). The interaction between cancer cells and their microenvironment is increasingly acknowledged as essential in dictating the outcome of the patients. The TME includes everything that surrounds tumour cells and is often highjacked by the latter to promote their growth, invasion, and immune escape. Immune cells and cancer-associated fibroblasts (CAFs) are essential components of the TME, and there is increasing evidence that their interaction constitutes a major player not only for tumour progression but also for therapy response.Recent work in the field of immuno-oncology resulted in the development of novel therapies that aim at activating immune cells against cancer cells to eliminate them. Despite their unprecedented success, the lack of response from a large portion of patients highlights the need for further progress and improvement. To achieve its ultimate goal, the interaction between cancer cells and the TME needs to be studied in-depth to allow the targeting of mechanisms that are involved in resistance or refractoriness to therapy. Moreover, predictive and prognostic biomarkers for patient stratification are still missing. In this review, we focus on and highlight the complexity of CAFs within the TME and how their interaction, particularly with immune cells, can contribute to treatment failure. We further discuss how this crosstalk can be further dissected and which strategies are currently used to target them.
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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.