ArticleScientific reports2025
Decoding molecular signatures and identifying therapeutic targets in triple-negative breast cancer subtypes using omics and network analysis.
Article in Scientific reports, 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Triple-negative breast cancer (TNBC) is the most aggressive form of breast cancer. It is resistant to therapeutic applications, making it very difficult to manage. Most patients continue to receive chemotherapy. The main challenges in treating TNBC arise from its histopathological, transcriptomic, and genomic heterogeneity. While subtype classification was once essential for understanding TNBC's diverse behavior, it is now crucial to thoroughly evaluate the molecular characteristics of each subtype to improve TNBC management. Our study employed a multi-omics approach utilizing transcriptomic data to compare TNBC subtype-specific cell lines with normal breast epithelial cell lines. Our goal was to find out essential transcription factors (TFs) regulating cancer-related pathways, subtype-specific marker genes, and their key TFs. We identified a common set of genes involved in cancer related pathways and examined their alteration level with driver mutations in each subtype. Our findings indicate that, based on alteration patterns, survivability, differential gene and protein level expressions, the genes ERBB3, ERBB4, HLA-B, AKT1, GNAS, FGFR4, PIK3R3 and AXIN2 emerge as primary risk factors in TNBC. These genes, associated with specific subtypes, are potential markers and should be the focus of further studies, paving the way for personalized anticancer treatment strategies for TNBC patients.
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.