Evidence map›Paper›PMID 40141205›Full record

ArticleInternational journal of molecular sciences2025

miRNAs-Set of Plasmatic Extracellular Vesicles as Novel Biomarkers for Hepatocellular Carcinoma Diagnosis Across Tumor Stage and Etiologies.

Francisco A Molina-Pelayo, David Zarate-Lopez, Rosendo García-Carrillo, César Rodríguez-Beas, Ramón Íñiguez-Palomares, José L Rodríguez-Mejía, Adriana Soto-Guzmán, Gabriela Velasco-Loyden, Mónica Sierra-Martínez, Adolfo Virgen-Ortiz and 8 more

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Emerging Biomimetic Drug Delivery Nanoparticles Inspired by Extracellular Vesicles.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    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

18 authors.

Francisco A Molina-PelayoCentro Universitario de Investigaciones Biomédicas, Universidad de Colima, Colima 28045, Colima, Mexico.ORCID 0000-0001-9580-4033
David Zarate-LopezCentro Universitario de Investigaciones Biomédicas, Universidad de Colima, Colima 28045, Colima, Mexico.ORCID 0000-0001-8211-5757
Rosendo García-CarrilloCentro Universitario de Investigaciones Biomédicas, Universidad de Colima, Colima 28045, Colima, Mexico.ORCID 0009-0006-3863-5687
César Rodríguez-BeasDepartamento de Física, Universidad de Sonora, Hermosillo 83000, Sonora, Mexico.ORCID 0000-0002-8129-3647
Ramón Íñiguez-PalomaresDepartamento de Física, Universidad de Sonora, Hermosillo 83000, Sonora, Mexico.ORCID 0000-0002-9218-936X
José L Rodríguez-MejíaCentro Universitario de Investigaciones Biomédicas, Universidad de Colima, Colima 28045, Colima, Mexico.
Adriana Soto-GuzmánDepartamento de Medicina y Ciencias de la Salud, Universidad de Sonora, Hermosillo 83000, Sonora, Mexico.ORCID 0000-0002-5759-380X
Gabriela Velasco-LoydenDepartamento de Biología Celular y Desarrollo, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
Mónica Sierra-MartínezUnidad de investigación en Salud, Hospital Regional de Alta Especialidad de Ixtapaluca, Servicios de Salud del Instituto Mexicano del Seguro Social para el Bienestar (IMSS-BIENESTAR), Ciudad de México 01020, Mexico.ORCID 0000-0002-1006-592X
Adolfo Virgen-OrtizCentro Universitario de Investigaciones Biomédicas, Universidad de Colima, Colima 28045, Colima, Mexico.
Enrique Sánchez-PastorCentro Universitario de Investigaciones Biomédicas, Universidad de Colima, Colima 28045, Colima, Mexico.ORCID 0000-0003-2337-3355
Nancy E Magaña-VergaraFacultad de Ciencias Químicas, Universidad de Colima, Coquimatlán 28400, Colima, Mexico.ORCID 0000-0002-7079-0752
Rafael Baltiérrez-HoyosSECIHTI-Universidad Autónoma Benito Juárez de Oaxaca, Oaxaca 68120, Oaxaca, Mexico.ORCID 0000-0003-3416-6917
Javier AlamillaCentro Universitario de Investigaciones Biomédicas, Universidad de Colima, Colima 28045, Colima, Mexico.
Victoria Chagoya de SánchezDepartamento de Biología Celular y Desarrollo, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
Adán Dagnino-AcostaCentro Universitario de Investigaciones Biomédicas, Universidad de Colima, Colima 28045, Colima, Mexico.
Enrique ChávezDepartamento de Biología Celular y Desarrollo, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico.
Luis Castro-SánchezCentro Universitario de Investigaciones Biomédicas, Universidad de Colima, Colima 28045, Colima, Mexico.ORCID 0000-0002-7761-0136

Funding

Consejo Nacional de Humanidades, Ciencias y Tecnologías FOSISS-261460, Ciencia básica-254674, Ciencia de Frontera-501204, FOP02-2022-02-321696, fellowships 811380 and 811555.
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most common primary liver cancer, often diagnosed at advanced stages due to insufficient early screening and monitoring. MicroRNAs (miRNAs) are key regulators of gene expression and potential biomarkers for cancer diagnosis. This study investigated the diagnostic potential of miRNAs in Extracellular Vesicles (EVs) from HCC. miRNA expression in EVs was analyzed using HCC cell lines, circulating EVs from a Diethylnitrosamine (DEN)-induced liver tumor rat model, and plasma samples from HCC patients. Receiver Operating Characteristics (ROCs) were applied to evaluate the diagnostic accuracy of circulating EV miRNAs in patients. Five miRNAs (miR-183-5p, miR-19a-3p, miR-148b-3p, miR-34a-5p, and miR-215-5p) were consistently up-regulated in EVs across in vitro and in vivo HCC models. These miRNAs showed statistically significant differences in HCC patients stratified by TNM staging and Edmondson-Steiner grading compared to healthy controls. They also differentiated HCC patients with various etiologies from the control group and distinguished HCC patients, with or without liver cirrhosis, from cirrhotic and healthy individuals. Individually and as a panel, they demonstrated high sensitivity, specificity, and accuracy in identifying HCC patients. Their consistent upregulation across models and clinical samples highlights their robustness as biomarkers for HCC diagnosis, offering the potential for early disease management and prognosis.

Indexed as

Biomarkers, TumorCarcinoma, HepatocellularExtracellular VesiclesLiver NeoplasmsMicroRNAsAnimalsCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNeoplasm StagingRatsROC CurveBiomarkers, TumorMicroRNAsbiomarkersdiagnosisextracellular vesicleshepatocellular carcinomamicroRNAs

Identifiers

PMID40141205
PMCPMC11942138

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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.