Clinical Significance of Circulating miR-1273g-3p and miR-122-5p in Pancreatic Cancer.

circulating microRNA diagnostic performance expression profile pancreatic cancer prognosis

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2020
Historique:
received: 17 10 2019
accepted: 10 01 2020
entrez: 3 3 2020
pubmed: 3 3 2020
medline: 3 3 2020
Statut: epublish

Résumé

The burden of pancreatic cancer (PanC) requires innovation in the current diagnostic approach. This study aimed to uncover new circulating microRNAs (miRNAs) that would distinguish patients with PanC from healthy subjects (HS) compared with the cancer antigen 19-9 (CA 19-9), and predict patients' clinical phenotypes and outcomes. MiRNA expression profiles in plasma were investigated by using a two-stage process. In a discovery phase, miRNAs levels were analyzed using the GeneChip™ miRNA 4.0 Affymetrix assay in 10 pools of plasma samples from PanC patients and HS; in a validation phase, significantly altered miRNAs were re-tested in independent cohorts of cancer patients and controls by droplet digital PCR (ddPCR). The diagnostic performance of the resulting miRNAs was compared to CA 19-9 determinations, and the associations of miRNAs plasma levels with patients' clinical phenotypes and outcomes were also taken into account. Bioinformatics selection of miRNAs differentially expressed in plasma uncovered miR-18a-5p, miR-122-5p, miR-1273g-3p, and miR-6126 as candidate oncogenic miRNAs in PanC. The ddPCR technology confirmed the significant over-expression of miR-122-5p, miR-1273g-3p, and miR-6126 in PanC compared to HS, in line with the trend of the CA 19-9 levels. Plasma levels of miR-1273g-3p, in combination with CA 19-9, showed higher power in distinguishing PanC patients from HS compared to the CA 19-9 tested alone, with a gain in both sensitivity and negative predictive value indicating a low false-negative rate (SE = 90.2% and NPV = 92.3% vs. SE = 82.1% and NPV = 87.9%). None of the oncogenic miRNAs were able to distinguish between a neoplastic and a proliferative/inflammatory disease of the pancreas, and were not able to stratify subjects according to the clinical risk for the disease. The only valuable association in PanC patients was found between miR-1273g-3p and tumor stage, and increased miR-122-5p levels emerged as independent negative prognostic factor for PanC patients (HR = 1.58, 95% CI = 1.03-2.43,

Identifiants

pubmed: 32117716
doi: 10.3389/fonc.2020.00044
pmc: PMC7010806
doi:

Types de publication

Journal Article

Langues

eng

Pagination

44

Informations de copyright

Copyright © 2020 Mazza, Gioffreda, Fontana, Biagini, Carella, Palumbo, Maiello, Bazzocchi, Andriulli and Tavano.

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Auteurs

Tommaso Mazza (T)

Laboratory of Bioinformatics, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.

Domenica Gioffreda (D)

Division of Gastroenterology and Research Laboratory, Fondazione IRCCS Casa Sollievo della, Foggia, Italy.

Andrea Fontana (A)

Unit of Biostatistics, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.

Tommaso Biagini (T)

Laboratory of Bioinformatics, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.

Massimo Carella (M)

Division of Medical Genetics, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.

Orazio Palumbo (O)

Division of Medical Genetics, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.

Evaristo Maiello (E)

Department of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.

Francesca Bazzocchi (F)

Department of Surgery, Fondazione IRCCS Casa Sollievo della Sofferenza, Foggia, Italy.

Angelo Andriulli (A)

Division of Gastroenterology and Research Laboratory, Fondazione IRCCS Casa Sollievo della, Foggia, Italy.

Francesca Tavano (F)

Division of Gastroenterology and Research Laboratory, Fondazione IRCCS Casa Sollievo della, Foggia, Italy.

Classifications MeSH