Evidence map›Paper›PMID 42676387›Full record

ArticleJournal of clinical practice and research2026

Multi-Omics Integration Identifies Ferroptosis-Related miRNA-mRNA Networks and Independent Prognostic miRNAs in Triple-Negative Breast Cancer.

Selim Öğüt, Ebru Cingöz Çapan, Günnaz Çapan, Serap Yeşilkır Baydar, Abbas Ali Husseini

Abstract read
In one paragraph

Article in Journal of clinical practice and research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Selim ÖğütDepartment of Basic Medical Sciences, Department of Biophysics, Bandırma Onyedi Eylül University, Faculty of Medicine, Balıkesir, Türkiye.
Ebru Cingöz ÇapanDepartment of Medical Services and Techniques, Medical Laboratory Techniques Program, Vocational School of Health Services, Avrasya University, Trabzon, Türkiye.
Günnaz ÇapanDepartment of Biophysics, Health Sciences Institute, Faculty of Medicine, İstanbul University, İstanbul, Türkiye.
Serap Yeşilkır BaydarLife Sciences and Biomedical Engineering Application and Research Centre, İstanbul Gelişim University, İstanbul, Türkiye.
Abbas Ali HusseiniLife Sciences and Biomedical Engineering Application and Research Centre, İstanbul Gelişim University, İstanbul, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to comprehensively characterize the transcriptomic and proteomic landscape of ferroptosis-associated mRNAs, miRNAs, and proteins, elucidate subtype-specific regulatory networks, and identify potential prognostic biomarkers in triple-negative breast cancer (TNBC). Materials and Methods: Using the TCGA-BRCA cohort for discovery and the METABRIC dataset for validation, we performed differential expression and functional enrichment analyses comparing TNBC and non-TNBC subtypes. An integrated miRNA-mRNA regulatory network was constructed, and multivariable Cox proportional hazards regression analysis was performed to evaluate the prognostic value of the identified biomarkers. Results: TNBC exhibited profound transcriptional dysregulation, characterized by the marked upregulation of the iron-sequestering gene FTMT (log Conclusion: This multi-omics integration maps the ferroptosis-related regulatory landscape of TNBC. Although specific mRNAs serve as key structural hubs, hsa-miR-378c and hsa-miR-449a emerge as robust independent prognostic biomarkers, providing important insights into TNBC risk stratification and potential targeted therapeutic strategies.

Indexed as

Biomarkerbreast cancerferroptosismiRNAtranscriptomic analysis

Identifiers

PMID42676387
PMCPMC13526769

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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.