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

被引:0
|
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
关键词
D O I
暂无
中图分类号
学科分类号
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.
引用
收藏
页码:3859 / 3869
页数:10
相关论文
共 50 条
  • [41] Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma
    Lau, Hui-Ching
    Shen, Yujie
    Huang, Qiang
    Huang, Hui-Ying
    Zhou, Liang
    BIOENGINEERED, 2021, 12 (01) : 8738 - 8752
  • [42] ALKBH1 alterations predict poor prognosis in oral squamous cell carcinoma
    Arumugam, P.
    Jayaseelan, V. P.
    Murugan, M. Senthil
    ANNALS OF ONCOLOGY, 2022, 33 (08) : S1401 - S1402
  • [43] Development and Validation of an E2F-Related Gene Signature to Predict Prognosis of Patients With Lung Squamous Cell Carcinoma
    Wang, Cailian
    Gu, Xuyu
    Zhang, Xiuxiu
    Zhou, Min
    Chen, Yan
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [44] Seven-Gene Signature Based on Glycolysis Is Closely Related to the Prognosis and Tumor Immune Infiltration of Patients With Gastric Cancer
    Yu, Shanshan
    Hu, Chuan
    Cai, Luya
    Du, Xuedan
    Lin, Fan
    Yu, Qiongjie
    Liu, Lixiao
    Zhang, Cheng
    Liu, Xuan
    Li, Wenfeng
    Zhan, Yu
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [45] A Metabolic Gene Signature to Predict Overall Survival in Head and Neck Squamous Cell Carcinoma
    Wu, Zeng-Hong
    Tang, Yun
    Zhou, Yue
    MEDIATORS OF INFLAMMATION, 2020, 2020
  • [46] A seven-gene signature predicts overall survival of patients with colorectal cancer
    Chen, Huarong
    Sun, Xiaoqiang
    Ge, Weiting
    Qian, Yun
    Bai, Rui
    Zheng, Shu
    ONCOTARGET, 2017, 8 (56) : 95054 - 95065
  • [47] A novel seven-gene signature predicts prognosis in early-stage triple-negative breast cancer
    Ren, Y.
    Jiang, Y.
    Zuo, W.
    Xu, X.
    Jin, X.
    Ma, D.
    Shao, Z.
    CANCER RESEARCH, 2019, 79 (04)
  • [48] Identification of a seven-gene prognostic signature using the gene expression profile of osteosarcoma
    Liu, Zhe
    Zhong, Yun
    Meng, Senling
    Liao, Qinyuan
    Chen, Weicai
    ANNALS OF TRANSLATIONAL MEDICINE, 2022, 10 (02)
  • [49] Gene expression signature predicts lymphatic metastasis in squamous cell carcinoma of the oral cavity
    O'Donnell, RK
    Kupferman, M
    Wei, SJ
    Singhal, S
    Weber, R
    O'Malley, B
    Cheng, Y
    Putt, M
    Feldman, M
    Ziober, B
    Muschel, RJ
    ONCOGENE, 2005, 24 (07) : 1244 - 1251
  • [50] Gene expression signature predicts lymphatic metastasis in squamous cell carcinoma of the oral cavity
    Rebekah K O'Donnell
    Michael Kupferman
    S Jack Wei
    Sunil Singhal
    Randal Weber
    Bert O'Malley
    Yi Cheng
    Mary Putt
    Michael Feldman
    Barry Ziober
    Ruth J Muschel
    Oncogene, 2005, 24 : 1244 - 1251