ReviewExploration of targeted anti-tumor therapy2025
Role of exosomes in transforming growth factor-β-mediated cancer cell plasticity and drug resistance.
Review in Exploration of targeted anti-tumor therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- PLIN3 overexpression in lung adenocarcinoma promotes M2 macrophage-myofibroblast transition in the tumor microenvironment.Biology direct · 2026Article
- Margin of Error: The Emerging Role of Field Cancerization in Predicting Recurrence Risk of Ductal Carcinoma In Situ.International journal of molecular sciences · 2026Review
- Modulation of Network Plasticity Opens Novel Therapeutic Possibilities in Cancer, Diabetes, and Neurodegeneration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Review
- Comprehensive analysis of the TGF-β signaling pathway: molecular mechanisms, disease drivers, and frontiers in clinical translation.Frontiers in immunology · 2026Review
- Advancements in research regarding the influence of the tumor microenvironment on the proliferation and metastasis of osteosarcoma (Review).Oncology letters · 2026Review
- Tumor-derived extracellular vesicles: Bridging communication and next-generation theranostics.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2025Review
- Exosomes in cancer metabolism and drug resistance: A review.Biomolecules & biomedicine · 2025Review
- The Underlying Mechanisms and Emerging Strategies to Overcome Resistance in Breast Cancer.Cancers · 2025Review
- Review
- Role of tumor-derived exosomes and immune cells in osteosarcoma progression and targeted therapy.Frontiers in immunology · 2025Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transforming growth factor-β (TGF-β) is a multifunctional molecule with a dual role in carcinogenesis. Recent studies have demonstrated its various effects on cancer-related processes. However, the identification of TGF-β and TGF-β signaling pathway regulators in extracellular vesicles (EVs) appears promising for targeting them to control cancer progression associated with drug resistance. Exosomal TGF-β has been shown to be implicated in cancer cell phenotypic plasticity, a dynamic feature of cancer cells, and an evasive process hampering treatment efficacy. Additionally, EVs can influence the metastatic cascade through mechanisms, including their effects on the immune system and their binding to extracellular matrix (ECM) proteins. These processes collaborate to provide a supportive microenvironment for the development and growth of metastatic tumors. A deeper understanding of the mechanisms by which EVs facilitate TGF-β-mediated intercellular communication may have practical implications for better controlling oncological disorders and providing new methods for cancer diagnostics and treatment, including approaches targeting EVs.
Indexed as
Identifiers
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.