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A seven-gene signature to predict the prognosis of oral squamous cell carcinoma.

Authors :
Ribeiro IP
Esteves L
Santos A
Barroso L
Marques F
Caramelo F
Melo JB
Carreira IM
Source :
Oncogene [Oncogene] 2021 Jun; Vol. 40 (22), pp. 3859-3869. Date of Electronic Publication: 2021 May 10.
Publication Year :
2021

Abstract

The prognosis of oral squamous cell carcinoma (OSCC) patients remains poor without implemented biomarkers in the clinical routine practice to help in the patient's management. With this study we aimed to identify specific prognostic biomarkers for OSCC using a whole genome technology as well as to verify the clinical utility of a head and neck cancer-specific multiplex ligation-dependent probe amplification (MLPA) panel. A genomic characterization of tumor samples from 62 OSCC patients was performed using array comparative genomic hybridization (aCGH) and a more straightforward and cost-effective molecular technology, MLPA. The identification of a genomic signature and prognosis biomarkers was carried out by applying several statistical methods. With aCGH we observed that the chromosomes most commonly altered were 3p, 3q, 5q, 6p, 7q, 8p, 8q, 11q, 15q, 17q, and 18q. The MLPA results showed that the chromosomes with a higher frequency of alterations were 3p, 3q, 8p, 8q, and 11q. We identified a genomic signature with seven genes OCLN (3p21.31), CLDN16 (3q29), SCRIB (3q29), IKBKB (3q22.3), PAK2 (8q22.3), PIK3CB (3q28), and YWHAZ (8q24.3) that together allow to differentiate the patients that developed metastases or relapses after primary tumor treatment, with an overall accuracy of 79%. Amplification of PIK3CB as a predictor of metastases or relapses development was validated using TCGA data. This amplified gene showed a reduction in more than 5 years in the median survival of the patients. The identified biomarkers might have a significant impact in the patients' management and could leverage the OSCC precision medicine.

Details

Language :
English
ISSN :
1476-5594
Volume :
40
Issue :
22
Database :
MEDLINE
Journal :
Oncogene
Publication Type :
Academic Journal
Accession number :
33972685
Full Text :
https://doi.org/10.1038/s41388-021-01806-5