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

被引:0
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作者
Ilda Patrícia Ribeiro
Luísa Esteves
Ana Santos
Leonor Barroso
Francisco Marques
Francisco Caramelo
Joana Barbosa Melo
Isabel Marques Carreira
机构
[1] Cytogenetics and Genomics Laboratory,University of Coimbra
[2] Institute of Cellular and Molecular Biology,University of Coimbra
[3] Faculty of Medicine,University of Coimbra
[4] Coimbra Institute for Clinical and Biomedical Research (iCBR) and Center of Investigation on Environment Genetics and Oncobiology (CIMAGO),Department of Dentistry, Faculty of Medicine
[5] Faculty of Medicine,University of Coimbra
[6] Center for Innovative Biomedicine and Biotechnology (CIBB),undefined
[7] Clinical Academic Center of Coimbra (CACC),undefined
[8] Maxillofacial Surgery Department,undefined
[9] Coimbra Hospital and University Centre (CHUC),undefined
[10] EPE,undefined
[11] University of Coimbra,undefined
[12] Stomatology Unit,undefined
[13] Coimbra Hospital and University Centre (CHUC),undefined
[14] EPE,undefined
[15] Laboratory of Biostatistics and Medical Informatics,undefined
[16] iCBR—Faculty of Medicine,undefined
来源
Oncogene | 2021年 / 40卷
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摘要
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.
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页码:3859 / 3869
页数:10
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