MicroRNAs differential expression profile in metastatic colorectal cancer: A pilot study with literature review.


Journal

Surgical oncology
ISSN: 1879-3320
Titre abrégé: Surg Oncol
Pays: Netherlands
ID NLM: 9208188

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 20 08 2020
revised: 07 01 2021
accepted: 25 01 2021
pubmed: 9 2 2021
medline: 15 12 2021
entrez: 8 2 2021
Statut: ppublish

Résumé

Colorectal cancer is still one of the leading causes of cancer-related deaths worldwide and specific tools to improve disease assessment and treatment response are advocated. The aim of this study was to analyze miRNAs expression in metastatic and non-metastatic colorectal cancer, in order to identify reliable biomarkers suitable for prognosis, treatment and patient's monitoring. Among 25 patients (mean age 71 ± 12 years; Female/Male: 12/13) submitted to laparoscopic colorectal resection between August 2017 and February 2019, miRNAs were extracted from fresh frozen tissues of solid tumors. Gene expression's analysis arising from microarray technology was performed. Pathological evaluation identified 15 metastatic patients (8 presenting with stage III and 7 with stage IV cancers) and 10 non-metastatic patients (4 presenting with stage I and 6 stage II cancers). Bioinformatic analysis of solid biopsies revealed 16 miRNAs (11 upregulated and 5 downregulated) differently expressed between metastatic and non-metastatic groups, with three miRNAs (miR-7515, miR-7109-5p and miR-6831-5p) never linked to colorectal cancer before. Our study showed an association between miRNAs and metastatic colorectal cancer, suggesting their potential role as biomarkers for tumor management, if confirmed by further studies.

Sections du résumé

BACKGROUND AND OBJECTIVES OBJECTIVE
Colorectal cancer is still one of the leading causes of cancer-related deaths worldwide and specific tools to improve disease assessment and treatment response are advocated. The aim of this study was to analyze miRNAs expression in metastatic and non-metastatic colorectal cancer, in order to identify reliable biomarkers suitable for prognosis, treatment and patient's monitoring.
MATERIAL AND METHODS METHODS
Among 25 patients (mean age 71 ± 12 years; Female/Male: 12/13) submitted to laparoscopic colorectal resection between August 2017 and February 2019, miRNAs were extracted from fresh frozen tissues of solid tumors. Gene expression's analysis arising from microarray technology was performed.
RESULTS RESULTS
Pathological evaluation identified 15 metastatic patients (8 presenting with stage III and 7 with stage IV cancers) and 10 non-metastatic patients (4 presenting with stage I and 6 stage II cancers). Bioinformatic analysis of solid biopsies revealed 16 miRNAs (11 upregulated and 5 downregulated) differently expressed between metastatic and non-metastatic groups, with three miRNAs (miR-7515, miR-7109-5p and miR-6831-5p) never linked to colorectal cancer before.
CONCLUSIONS CONCLUSIONS
Our study showed an association between miRNAs and metastatic colorectal cancer, suggesting their potential role as biomarkers for tumor management, if confirmed by further studies.

Identifiants

pubmed: 33556883
pii: S0960-7404(21)00013-X
doi: 10.1016/j.suronc.2021.101524
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
MicroRNAs 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

101524

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Elisa Francone (E)

Department of Health Sciences, Università del Piemonte Orientale, Novara, Italy. Electronic address: elisafrancone@gmail.com.

Sergio Gentilli (S)

Department of Health Sciences, Università del Piemonte Orientale, Novara, Italy.

Gregorio Santori (G)

Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy.

Cesare Stabilini (C)

Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy.

Rosario Fornaro (R)

Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy.

Marco Frascio (M)

Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy.

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Classifications MeSH