ReviewCancers2024
Deciphering the Tumor Microenvironment in Prostate Cancer: A Focus on the Stromal Component.
Review in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Review
- Mapping prostate cancer pathobiology: A review of genetically engineered mouse models (GEMMs).Gene · 2026Review
- Inflammatory and Epigenetic Biomarkers in Prostate Disease: Current Evidence, Clinical Limitations, and Future Multimarker Strategies.Diagnostics (Basel, Switzerland) · 2026Review
- A unique transcriptomic landscape defines African-specific grade group 1 prostate cancer.Research square · 2026Article
- Immunohistochemical Evidence of Telocytic Stroma Associated with Tumor Grade and Acinar Heterogeneity in Prostate Cancer.International journal of molecular sciences · 2026Article
- A Metastasis-competent CAF Subpopulation Defined byRecent patents on anti-cancer drug discovery · 2026Article
- Immunosenescence in prostate cancer: from aging-related immune dysfunction to therapeutic opportunities.Frontiers in immunology · 2026Review
- Targeting Cancer-Associated Fibroblasts in Prostate Cancer: Recent Advances and Therapeutic Opportunities.Cancers · 2025Review
- Effects of Docosahexaenoic Acid on Prostate Cancer.Journal of xenobiotics · 2025Review
- Engineering the bone metastatic prostate cancer niche through a microphysiological system to report patient-specific treatment response.Communications biology · 2025Article
- Optimised dissociation and multimodal profiling of prostate cancer stroma reveal fibromuscular cell heterogeneity with clinical correlates.Frontiers in cell and developmental biology · 2025Article
- Advances in the identification of novel cell signatures in benign prostatic hyperplasia and prostate cancer using single-cell RNA sequencing.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
6 authors.
Funding
Abstract
Prostate cancer progression is significantly affected by its tumor microenvironment, in which mesenchymal cells play a crucial role. Stromal cells are modified by cancer mutations, response to androgens, and lineage plasticity, and in turn, engage with epithelial tumor cells via a complex array of signaling pathways and ligand-receptor interactions, ultimately affecting tumor growth, immune interaction, and response to therapy. The metabolic rewiring and interplay in the microenvironment play an additional role in affecting the growth and progression of prostate cancer. Finally, therapeutic strategies and novel clinical trials with agents that target the stromal microenvironment or disrupt the interaction between cellular compartments are described. This review underscores cancer-associated fibroblasts as essential contributors to prostate cancer biology, emphasizing their potential as prognostic indicators and therapeutic targets.
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.