Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma

Objective To establish a risk regression model based on proliferation-related genes in oral squamous cell carcinoma (OSCC) for evaluating the prognosis of patients with OSCC. Methods We retrieved 1 899 proliferation-related genes from the Molecular Signatures Database (MSigDB) and down-loaded from C...

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Main Authors: GUO Junfeng, ZHANG Gang
Format: Article
Language:zho
Published: Editorial Office of Journal of Third Military Medical University 2020-09-01
Series:Di-san junyi daxue xuebao
Subjects:
Online Access:http://aammt.tmmu.edu.cn/Upload/rhtml/202004111.htm
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author GUO Junfeng
GUO Junfeng
ZHANG Gang
author_facet GUO Junfeng
GUO Junfeng
ZHANG Gang
author_sort GUO Junfeng
collection DOAJ
description Objective To establish a risk regression model based on proliferation-related genes in oral squamous cell carcinoma (OSCC) for evaluating the prognosis of patients with OSCC. Methods We retrieved 1 899 proliferation-related genes from the Molecular Signatures Database (MSigDB) and down-loaded from Cancer Genome Atlas (TCGA) the gene expression and clinical data of OSCC patients, who were randomly divided into the training group and validation group at the ratio of 7:3. The proliferation-associated differentially expressed genes (PADEGs) between OSCC and adjacent tissues were identified by Wilcoxon test. The proliferation-related gene risk regression model was constructed by single factor Cox analysis and Lasso regression analysis, and the accuracy of the model was evaluated through survival analysis and independent prognosis analysis. The constructed model was further verified using the data of OSCC patients in the validation group. Results Eight genes (APP, STC1, SFRP1, ABCB1, HPRT1, ZAP70, ST8SIA1, and ADGRG1) were screened for construction of the risk regression model. The OSCC patients with high risk scores calculated with the constructed model had significantly poorer prognosis (P < 0.01). The score of the risk regression model based on the proliferation-related genes was an independent prognostic factor in OSCC patients (P < 0.01). Conclusion The proliferation-related gene risk regression model provides a reliable means for evaluating the prognosis of OSCC patients to facilitate clinical interventions and management of the patients
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spelling doaj.art-08a1b550734b46b28cc414c08c4ce4f52022-12-21T17:15:57ZzhoEditorial Office of Journal of Third Military Medical UniversityDi-san junyi daxue xuebao1000-54042020-09-0142181836184110.16016/j.1000-5404.202004111Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinomaGUO Junfeng0GUO Junfeng1ZHANG Gang2Department of Stomatology, Second Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, 400037Orthopaedic Sports Medicine Center, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China Orthopaedic Sports Medicine Center, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, China Objective To establish a risk regression model based on proliferation-related genes in oral squamous cell carcinoma (OSCC) for evaluating the prognosis of patients with OSCC. Methods We retrieved 1 899 proliferation-related genes from the Molecular Signatures Database (MSigDB) and down-loaded from Cancer Genome Atlas (TCGA) the gene expression and clinical data of OSCC patients, who were randomly divided into the training group and validation group at the ratio of 7:3. The proliferation-associated differentially expressed genes (PADEGs) between OSCC and adjacent tissues were identified by Wilcoxon test. The proliferation-related gene risk regression model was constructed by single factor Cox analysis and Lasso regression analysis, and the accuracy of the model was evaluated through survival analysis and independent prognosis analysis. The constructed model was further verified using the data of OSCC patients in the validation group. Results Eight genes (APP, STC1, SFRP1, ABCB1, HPRT1, ZAP70, ST8SIA1, and ADGRG1) were screened for construction of the risk regression model. The OSCC patients with high risk scores calculated with the constructed model had significantly poorer prognosis (P < 0.01). The score of the risk regression model based on the proliferation-related genes was an independent prognostic factor in OSCC patients (P < 0.01). Conclusion The proliferation-related gene risk regression model provides a reliable means for evaluating the prognosis of OSCC patients to facilitate clinical interventions and management of the patientshttp://aammt.tmmu.edu.cn/Upload/rhtml/202004111.htmoral squamous cell carcinomaproliferationprognosis
spellingShingle GUO Junfeng
GUO Junfeng
ZHANG Gang
Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma
Di-san junyi daxue xuebao
oral squamous cell carcinoma
proliferation
prognosis
title Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma
title_full Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma
title_fullStr Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma
title_full_unstemmed Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma
title_short Establishment of a prognostic model based on proliferation-related genes in oral squamous cell carcinoma
title_sort establishment of a prognostic model based on proliferation related genes in oral squamous cell carcinoma
topic oral squamous cell carcinoma
proliferation
prognosis
url http://aammt.tmmu.edu.cn/Upload/rhtml/202004111.htm
work_keys_str_mv AT guojunfeng establishmentofaprognosticmodelbasedonproliferationrelatedgenesinoralsquamouscellcarcinoma
AT guojunfeng establishmentofaprognosticmodelbasedonproliferationrelatedgenesinoralsquamouscellcarcinoma
AT zhanggang establishmentofaprognosticmodelbasedonproliferationrelatedgenesinoralsquamouscellcarcinoma