ReviewCancer cell international2024
The axis of tumor-associated macrophages, extracellular matrix proteins, and cancer-associated fibroblasts in oncogenesis.
Review in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed.
- Reprogramming macrophage mechanosensation via TRPV4 modulating mechano-immunotherapy controls fibrotic encapsulation of biomaterial implants.Bioactive materials · 2026Article
- Single-cell analysis reveals crosstalk between TREM1-positive myeloid cells and cancer-associated fibroblasts in colorectal cancer progression.Journal of gastroenterology · 2026Article
- Review
- Immunomodulation by collagen VI across fibrotic and tumor microenvironmental contexts.Histology and histopathology · 2026Review
- Programmed cell death and metastatic evolution in breast cancer: the role of anoikis, necroptosis, and ferroptosis.Apoptosis : an international journal on programmed cell death · 2026Review
- [Mechanisms of Macrophage Efferocytosis-driven Remodeling of Lung Cancer Microenvironment Structure and Angiogenesis and Prospects for Clinical Intervention].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2026Review
- Decoding the CAF-TAM axis: multi-omics dissection and therapeutic targeting of stromal-immune crosstalk in the tumor microenvironment.Cell death & disease · 2026Review
- Characterization of KLK5-high epithelial cells and their interactions with the tumor microenvironment in high-grade serous ovarian cancer.Cancer cell international · 2026Article
- Extracellular matrix polysaccharides and glycoproteins in ovarian cancer: structural-functional macromolecular perspectives and potential exosome-derived biomarkers.Cell communication and signaling : CCS · 2026Review
- Visualizing malignant progression: in situ CD109-based spatial immunofluorescence assay delineates papillary to anaplastic thyroid carcinoma transformation within the tumor microenvironment.Scientific reports · 2026Article
- Targeting inflammatory microenvironments: overcoming therapy resistance and immunosuppression.Molecular cancer · 2026Review
- The unseen architects of metastasis: coagulation factors in pre-metastatic niche development.Cell communication and signaling : CCS · 2026Review
- Targeting Tumor-Associated Macrophages to Reshape the Immuno-Mechanical Landscape: Molecular Mechanisms and Therapeutic Strategies.International journal of biological sciences · 2026Review
- The invasive front in hepatocellular carcinoma: toward a tumor-CAF-macrophage metabolic interface.Frontiers in immunology · 2026Article
- TME remodeling and clinical challenges of immune checkpoint blockade in nasopharyngeal carcinoma.Frontiers in oncology · 2026Review
- Immune heterogeneity and therapeutic resistance in gynecological malignancies.Frontiers in immunology · 2026Review
- Tumor-associated macrophages and platelets in tumor microenvironment and its potential therapeutic role in ovarian cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Review
- Macrophage-Derived Transcriptional Signatures Predict Prognosis and Drug Sensitivity in Thyroid Cancer: Integrative Analysis and Experimental Validation of SMYD3.ImmunoTargets and therapy · 2026Article
- Nanomedicine Targeting Cancer-Associated Fibroblasts in Prostate Cancer: From Biological Mechanisms to Integrated Theranostic Strategies.International journal of nanomedicine · 2026Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The extracellular matrix (ECM) is a complex, dynamic network of multiple macromolecules that serve as a crucial structural and physical scaffold for neighboring cells. In the tumor microenvironment (TME), ECM proteins play a significant role in mediating cellular communication between cancer-associated fibroblasts (CAFs) and tumor-associated macrophages (TAMs). Revealing the ECM modification of the TME necessitates the intricate signaling cascades that transpire among diverse cell populations and ECM proteins. The advent of single-cell sequencing has enabled the identification and refinement of specific cellular subpopulations, which has substantially enhanced our comprehension of the intricate milieu and given us a high-resolution perspective on the diversity of ECM proteins. However, it is essential to integrate single-cell data and establish a coherent framework. In this regard, we present a comprehensive review of the relationships among ECM, TAMs, and CAFs. This encompasses insights into the ECM proteins released by TAMs and CAFs, signaling integration in the TAM-ECM-CAF axis, and the potential applications and limitations of targeted therapies for CAFs. This review serves as a reliable resource for focused therapeutic strategies while highlighting the crucial role of ECM proteins as intermediates in the TME.
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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 Socratic graph.