Evidence map›Paper›PMID 41181715›Full record

ReviewFrontiers in cell and developmental biology2025

Long non-coding RNAs: Key regulators of stemness in breast cancer.

Olivia Tellez-Jimenez, Alejandro Ordaz-Ramos, Marco Antonio Fonseca-Montaño, Karla Vazquez-Santillan

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 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

4 authors.

Olivia Tellez-JimenezLaboratorio de Resistencia Tumoral y Metástasis en Medicina Traslacional, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Alejandro Ordaz-RamosLaboratorio de Resistencia Tumoral y Metástasis en Medicina Traslacional, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Marco Antonio Fonseca-MontañoLaboratorio de Genómica del Cáncer, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.
Karla Vazquez-SantillanLaboratorio de Resistencia Tumoral y Metástasis en Medicina Traslacional, Instituto Nacional de Medicina Genómica, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Among the different types of cancer, breast cancer is one of the most diagnosed and has the highest mortality rate in the global female population. While there are multiple approaches to current antineoplastic therapies targeting breast cancer, treatment resistance, disease recurrence, and metastasis are the main challenges in breast cancer management. It is widely recognized that these issues are due, at least in part, to the involvement of cancer stem cells (CSCs). The molecular mechanisms that regulate the maintenance of stemness phenotype, and consequently, the CSC population, remain unclear. Accumulating evidence suggests that CSCs can be regulated by non-coding RNAs, including long non-coding RNAs (lncRNAs), which are crucial in regulating gene expression at multiple levels, from transcriptional to post-translational. Generally, the function of lncRNAs is determined by their specific location within the cell, either in the nucleus, cytoplasm, or in both cellular spaces. Understanding how lncRNAs regulate breast CSC population is essential in developing new therapeutic strategies for managing cancer. This review aims to provide current knowledge on the mechanisms of lncRNA function in the regulation of breast CSCs, highlighting their potential as therapeutic targets or biomarkers for improving the management of breast cancer.

Indexed as

breast cancerCSCslncRNAself-renewaltherapeutic tools

Identifiers

PMID41181715
PMCPMC12574602

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.