ReviewThoracic cancer2026
Heterogeneity of Cancer-Associated Fibroblasts and Precision Targeting Strategies for Cancer Therapy.
Review in Thoracic cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immune checkpoint blockade (ICB) has transformed cancer therapy, but its effect is often limited by immunosuppression and resistance mechanisms within the tumor microenvironment (TME). Cancer-associated fibroblasts (CAFs) represent a major stromal component of the TME. They exhibit substantial heterogeneity, dynamic plasticity, diverse cellular origins, and context-dependent activation states, which critically determine the safety and efficacy of CAF-targeted therapies. CAFs contribute to tumor immune evasion by remodeling the extracellular matrix, altering tissue mechanics and establishing structural barriers. In addition, CAFs release cytokines, chemokines, and exosomes to impair T-cell trafficking and function. They also interact with immune and myeloid cells, further reducing the efficacy of ICB. Therefore, CAF-targeted therapies are shifting from the strategy of extensive clearance to a more elaborate framework, which focuses on specific CAF subpopulations and their regulatory pathways, and combines specific strategies for subpopulations, functional reprogramming, and methods based on advanced delivery systems and diagnostic tools. Integrating spatial omics, single-cell technologies, and 3D culture systems can help us better understand the different states of CAFs and how they are distributed in space. This enables the identification of targetable CAF states, informs reprogramming strategies, supports rational combination design, and facilitates biomarker discovery. This review emphasizes the heterogeneity and plasticity of CAFs in tumor immunosuppression, and advocates a conceptual shift from static cellular identity to a dynamic state-niche-function framework.
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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.