Evidence map›Paper›PMID 39595529›Full record

ArticleBiomolecules2024

Integrated miRNA Signatures: Advancing Breast Cancer Diagnosis and Prognosis.

Maria Samara, Eleni Thodou, Marina Patoulioti, Antigoni Poultsidi, Georgia Eleni Thomopoulou, Antonis Giakountis

Abstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

6 authors.

Maria SamaraDepartment of Pathology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, Mezourlo, 41500 Larissa, Greece.ORCID 0000-0003-0433-6436
Eleni ThodouDepartment of Pathology, Faculty of Medicine, School of Health Sciences, University of Thessaly, Biopolis, Mezourlo, 41500 Larissa, Greece.
Marina PatouliotiDepartment of Biochemistry and Biotechnology, University of Thessaly, Biopolis, Mezourlo, 41500 Larissa, Greece.
Antigoni PoultsidiSurgical Department, Faculty of Medicine, University Hospital of Larissa, University of Thessaly, Biopolis, Mezourlo, 41500 Larissa, Greece.
Georgia Eleni ThomopoulouDiagnostic Cytopathology Department, Attikon General Hospital, School of Medicine, The National and Kapodistrian University of Athens, 11527 Athens, Greece.
Antonis GiakountisDepartment of Biochemistry and Biotechnology, University of Thessaly, Biopolis, Mezourlo, 41500 Larissa, Greece.ORCID 0000-0001-8648-9908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer ranks first in incidence and second in deaths worldwide, presenting alarmingly rising mortality rates. Imaging methodologies and/or invasive biopsies are routinely used for screening and detection, although not always with high sensitivity/specificity. MicroRNAs (miRNAs) could serve as diagnostic and prognostic biomarkers for breast cancer. We have designed a computational approach combining transcriptome profiling, survival analyses, and diagnostic power calculations from 1165 patients with breast invasive carcinoma from The Cancer Genome Atlas (TCGA-BRCA). Our strategy yielded two separate miRNA signatures consisting of four up-regulated and five down-regulated miRNAs in breast tumors, with cumulative diagnostic strength of AUC 0.93 and 0.92, respectively. We provide direct evidence regarding the breast cancer-specific expression of both signatures through a multicancer comparison of >7000 biopsies representing 19 solid cancer types, challenging their diagnostic potency beyond any of the current diagnostic methods. Our signatures are functionally implicated in cancer-related processes with statistically significant effects on overall survival and lymph-node invasion in breast cancer patients, which underlie their strong prognostic implication. Collectively, we propose two novel miRNA signatures with significantly elevated diagnostic and prognostic power as a functionally resolved tool for binary and accurate detection of breast cancer and other tumors of the female reproductive system.

Indexed as

Biomarkers, TumorBreast NeoplasmsGene Expression ProfilingMicroRNAsFemaleGene Expression Regulation, NeoplasticHumansPrognosisTranscriptomeBiomarkers, TumorMicroRNAsbiomarkerbreast cancerdiagnosismiRNAmulti-cancer transcriptomicsprognosisROC

Identifiers

PMID39595529
PMCPMC11591846

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.