Identification and bioinformatic characterization of a serum miRNA signature for early detection of laryngeal squamous cell carcinoma

Bibliographic Details
Title: Identification and bioinformatic characterization of a serum miRNA signature for early detection of laryngeal squamous cell carcinoma
Authors: Michela Falco, Chiara Tammaro, Alessia Maria Cossu, Takashi Takeuchi, Rossella Tufano, Michele Ceccarelli, Giuseppe Scafuro, Silvia Zappavigna, Anna Grimaldi, Marianna Scrima, Alessandro Ottaiano, Giovanni Savarese, Antonio Fico, Massimo Mesolella, Morena Fasano, Giovanni Motta, Eva Aurora Massimilla, Raffaele Addeo, Filippo Ricciardiello, Michele Caraglia, Gabriella Misso
Source: Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-22 (2024)
Publisher Information: BMC, 2024.
Publication Year: 2024
Collection: LCC:Medicine
Subject Terms: Laryngeal Squamous Cell Cancer, miRNA, miRNA signature, ROC curve, miR-532, miR-93, Medicine
More Details: Abstract Background The growing understanding of cancer biology and the establishment of new treatment modalities has not yielded the expected results in terms of survival for Laryngeal Squamous Cell Cancer (LSCC). Early diagnosis, as well as prompt identification of patients with high risk of relapse would ensure greater chance of therapeutic success. However, this goal remains a challenge due to the absence of specific biomarkers for this neoplasm. Methods Serum samples from 45 LSCC patients and 23 healthy donors were collected for miRNA expression profiling by TaqMan Array analysis. Additional 20 patients and 42 healthy volunteers were included for the validation set, reaching an equal number of clinical samples for each group. The potential diagnostic ability of the such identified three-miRNA signature was confirmed by ROC analysis. Moreover, each miRNA was analyzed for the possible correlation with HNSCC patients’ survival and TNM status by online databases Kaplan–Meier (KM) plotter and OncomiR. In silico analysis of common candidate targets and their network relevance to predict shared biological functions was finally performed by PANTHER and GeneMANIA software. Results We characterized serum miRNA profile of LSCC patients identifying a novel molecular signature, including miR-223, miR-93 and miR-532, as circulating marker endowed with high selectivity and specificity. The oncogenic effect and the prognostic significance of each miRNA was investigated by bioinformatic analysis, denoting significant correlation with OS. To analyse the molecular basis underlying the pro-tumorigenic role of the signature, we focused on the simultaneously regulated gene targets—IL6ST, GTDC1, MAP1B, CPEB3, PRKACB, NFIB, PURB, ATP2B1, ZNF148, PSD3, TBC1D15, PURA, KLF12—found by prediction tools and deepened for their functional role by pathway enrichment analysis. The results showed the involvement of 7 different biological processes, among which inflammation, proliferation, migration, apoptosis and angiogenesis. Conclusions In conclusion, we have identified a possible miRNA signature for early LSCC diagnosis and we assumed that miR-93, miR-223 and miR-532 could orchestrate the regulation of multiple cancer-related processes. These findings encourage the possibility to deepen the molecular mechanisms underlying their oncogenic role, for the desirable development of novel therapeutic opportunities based on the use of short single-stranded oligonucleotides acting as non-coding RNA antagonists in cancer.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1479-5876
Relation: https://doaj.org/toc/1479-5876
DOI: 10.1186/s12967-024-05385-3
Access URL: https://doaj.org/article/d615b8291d16462dacbd039d514ae685
Accession Number: edsdoj.615b8291d16462dacbd039d514ae685
Database: Directory of Open Access Journals
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More Details
ISSN:14795876
DOI:10.1186/s12967-024-05385-3
Published in:Journal of Translational Medicine
Language:English