Evidence map›Paper›PMID 40004509›Full record

ArticleGenes2025

miRNA Signatures as Predictors of Therapy Response in Castration-Resistant Prostate Cancer: Insights from Clinical Liquid Biopsies and 3D Culture Models.

Jonathan Puente-Rivera, Stephanie I Nuñez-Olvera, Verónica Fernández-Sánchez, Monica Alethia Cureño-Díaz, Erika Gómez-Zamora, Estibeyesbo Said Plascencia-Nieto, Elisa Elvira Figueroa-Angulo, María Elizbeth Alvarez-Sánchez

Abstract read
In one paragraph

Article in Genes, 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

8 authors.

Jonathan Puente-RiveraLaboratorio de Patogénesis Celular y Molecular Humana y Veterinaria, Posgrado en Ciencias Genómicas, Universidad Autónoma de la Ciudad de México (UACM), San Lorenzo 290, Col. Del Valle, Mexico City 03100, Mexico.ORCID 0000-0001-6941-6248
Stephanie I Nuñez-OlveraDepartamento de Biología Celular y Fisiología, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México (UNAM), Mexico City 04510, Mexico.
Verónica Fernández-SánchezDivisión de Investigación, Hospital Juárez De México, Mexico City 07760, Mexico.ORCID 0000-0001-9732-2265
Monica Alethia Cureño-DíazDirección de Investigación y Enseñanza, Hospital Juárez de Mexico, Mexico City 07760, Mexico.ORCID 0000-0002-4556-637X
Erika Gómez-ZamoraDirección Médica, Hospital Juárez de México, Mexico City 07769, Mexico.ORCID 0000-0002-0488-7900
Estibeyesbo Said Plascencia-NietoSección de Estudios de Posgrado e Investigación, Escuela Superior de Medicina, Instituto Politécnico Nacional, Mexico City 11340, Mexico.ORCID 0009-0002-2949-4924
Elisa Elvira Figueroa-AnguloLaboratorio de Patogénesis Celular y Molecular Humana y Veterinaria, Posgrado en Ciencias Genómicas, Universidad Autónoma de la Ciudad de México (UACM), San Lorenzo 290, Col. Del Valle, Mexico City 03100, Mexico.
María Elizbeth Alvarez-SánchezLaboratorio de Patogénesis Celular y Molecular Humana y Veterinaria, Posgrado en Ciencias Genómicas, Universidad Autónoma de la Ciudad de México (UACM), San Lorenzo 290, Col. Del Valle, Mexico City 03100, Mexico.ORCID 0000-0002-9212-4451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesProstate cancer (PCa) patients who do not respond to androgen deprivation therapy (ADT), referred to as castration-resistant prostate cancer (CRPC), remain a clinical challenge due to confirm the aggressive nature of CRPC and its resistance to conventional therapies. This study aims to investigate the potential of microRNAs (miRNAs) as biomarkers for predicting therapeutic response in CRPC patients.

methodsWe performed miRNA and mRNA expression analyses using publicly available datasets and applied 3D cell culture models to replicate more physiologically relevant tumor conditions. Genetic analysis techniques were employed on publicly available data, and expression profiles from 3D cell culture models were examined.

resultsEighteen miRNAs with differential expression were identified between patients who responded favorably to abiraterone therapy (responders) and those with advanced CRPC (non-responders). Specifically, miRNAs such as hsa-miR-152-3p and hsa-miR-34a-3p were found to be associated with critical pathways, including TGF-β signaling and P53, which are linked to therapeutic resistance. Several miRNAs were identified as potential predictors of treatment efficacy, including therapies like abiraterone.

conclusionsThese results indicate that miRNAs could serve as non-invasive biomarkers for predicting therapeutic outcomes, facilitating a more personalized approach to CRPC treatment. This study provides a novel perspective on treatment strategies for CRPC, emphasizing the role of miRNAs in improving therapeutic precision and efficacy in this complex disease.

Indexed as

Biomarkers, TumorMicroRNAsProstatic Neoplasms, Castration-ResistantAndrostenesDrug Resistance, NeoplasmGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLiquid BiopsyMaleabirateroneAndrostenesBiomarkers, TumorMicroRNAsCRPCmiRNAsprostate cancerresponder patients

Identifiers

PMID40004509
PMCPMC11855684

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Registered trials

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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.