Evidence map›Paper›PMID 36078129›Full record

ArticleCells2022

BC-miR: Monitoring Breast Cancer-Related miRNA Profile in Blood Sera-A Prosperous Approach for Tumor Detection.

Barbara N Borsos, Zoltán G Páhi, Zsuzsanna Ujfaludi, Farkas Sükösd, Alíz Nikolényi, Sarolta Bankó, Gabriella Pankotai-Bodó, Orsolya Oláh-Németh, Tibor Pankotai

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

11 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Barbara N BorsosInstitute of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary.
Zoltán G PáhiInstitute of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary.
Zsuzsanna UjfaludiInstitute of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary.
Farkas SükösdInstitute of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary.
Alíz NikolényiInstitute of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary.
Sarolta BankóInstitute of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary.
Gabriella Pankotai-BodóInstitute of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary.
Orsolya Oláh-NémethInstitute of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary.
Tibor PankotaiInstitute of Pathology, Albert Szent-Györgyi Medical School, University of Szeged, 6725 Szeged, Hungary.ORCID 0000-0001-9810-5465
University of Szeged · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most frequent cancer with a high fatality rate amongst women worldwide. Diagnosing at an early stage is challenging, and due to the limitations of the currently used techniques, including mammography and imaging diagnostics, it still remains unascertained. Serum biomarkers can be a solution for this as they can be isolated in a less painful, more cost-effective, and minimally invasive manner. In this study, we shed light on the relevant role of multiple microRNAs (miRNAs) as potential biomarkers in breast cancer diagnosis. We monitored the expressional changes of 15 pre-selected miRNAs in a large cohort, including 65 patients with breast cancer and 42 healthy individuals. We performed thorough statistical analyses on the cohort sample set and determined the diagnostic accuracy of individual and multiple miRNAs. Our study reveals a potential improvement in diagnostics by implicating the monitoring of miR-15a+miR-16+miR-221 expression in breast cancer management.

Indexed as

Breast NeoplasmsMicroRNAsBiomarkers, TumorBreastFemaleHumansBiomarkers, TumorMicroRNAsbiomarkerbreast cancermiRNAserum

Identifiers

PMID36078129
PMCPMC9454447
OpenAlexW4294151547

What Socratic holds

Textmetadata
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.