ArticleJournal of translational medicine2025
A novel six-biomarker panel identified from male breast cancer-associated fibroblasts demonstrates prognostic power for prostate tumors.
Article in Journal of translational medicine, 2025. 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
10 authors.
Funding
Abstract
backgroundMale breast cancer (BC) is rare, accounting for only approximately 1% of all cases of BC, and poorly characterized. In contrast, prostate cancer is the most prevalent cancer in men and serves as a model for understanding male-specific tumor biology. The advent of high-throughput technologies has enabled the development of gene expression signatures for both breast and prostate tumors that could inform prognosis and guide treatment. In this respect, the role of the tumor microenvironment, particularly cancer-associated fibroblasts (CAFs), remains largely underexplored. Here, we sought to identify a CAF-related gene signature in male patients with BC and prostate cancer to reveal specific protumorigenic mechanisms and identify novel therapeutic targets for both malignancies.
methodsRNA sequencing was performed to analyze and compare the transcriptomes of CAFs isolated from female and male BC patients. Differentially expressed genes (DEGs) between female and male breast CAFs were identified and subjected to enrichment analyses. Using a set of candidate upregulated genes in male breast CAFs, K-means clustering of prostate cancer patients was performed using multiple datasets to define a prognostic gene signature. Kaplan‒Meier curves and log-rank tests were conducted to assess differences in patient outcomes and other clinical variables between groups of patients with high or low prognostic gene expression. The clustering results were then validated using decision tree analysis, and boosted calculations were employed to increase the classifier performance.
resultsTranscriptomic profiling revealed 775 DEGs between female and male breast CAFs. Owing to the limited transcriptomic data from male BC patients, we leveraged large prostate cancer cohorts to investigate the relevance of the genes expressed by male breast CAFs. A six-gene signature (ASPN, COL4A1, COL4A2, COL5A3, COMP and FN1) that could predict patient outcomes in multiple independent cohorts of prostate cancer patients was identified.
conclusionsWe identified a novel gene signature with strong prognostic value in prostate cancer and potential relevance to male BC. This gene signature represents a complementary tool to standard clinical parameters for improving patient stratification and management.
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.