Evidence map›Paper›PMID 40867231›Full record

ArticleCancers2025

A Validated Proteomic Signature of Basal-like Triple-Negative Breast Cancer Subtypes Obtained from Publicly Available Data.

Cristina Furlan, Maria Suarez-Diez, Edoardo Saccenti

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Cristina FurlanLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands.ORCID 0000-0003-1416-3647
Maria Suarez-DiezLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands.ORCID 0000-0001-5845-146X
Edoardo SaccentiLaboratory of Systems and Synthetic Biology, Wageningen University & Research, Stippeneng 4, 6708 WE Wageningen, The Netherlands.ORCID 0000-0001-8284-4829

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBasal-like breast cancer (BLBC) is a highly aggressive molecular subtype characterized by the strong expression of a gene cluster found in the basal or outer epithelial layer of the adult mammary gland. Patients with BLBC typically face a poor prognosis, with a shorter disease-free period and overall survival.

methodsIn this study, we explored the proteomic profiles of BLBC patients using publicly available data from two large cohorts of breast cancer patients. By integrating cluster analysis, predictive modeling, protein differential abundance expression, and network analysis, we identified and validated the presence of two distinct subgroups, characterized by 256 upregulated and 99 downregulated proteins.

resultsWe report the upregulation of spliceosome components, especially SNRPG and its partners (BUD13, CWC15, SNRNP70, ZMAT12), indicating altered splicing activity between TNBC subgroups. Collagen proteins (COL1A1, COL1A2, COL3A1, COL11A1) were associated with tumor progression and metastasis. Proteins in the CCT complex and microtubule-associated proteins (TUBA1C, TUBB) were linked to cytoskeletal structure and chemotherapy resistance. Aminoacyl-tRNA synthetases (DARS1, IARS1, KARS1) may also play a role in TNBC development.

conclusionsThese findings suggest the existence of novel molecular signatures that could improve TNBC classification, prognosis, and potential therapeutic targeting.

Indexed as

biomarkersclassificationclusteringmolecular sub typingprotein–protein interactions

Identifiers

PMID40867231
PMCPMC12384266

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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.