Identification and Validation of an Apoptosis-Related Gene Prognostic Signature for Oral Squamous Cell Carcinoma

To identify an apoptosis-related gene (ARG) prediction model for oral squamous cell carcinoma (OSCC), we analyzed and validated the data from TCGA and GEO, respectively. Kaplan–Meier survival analysis and ROC curves showed a good prognostic ability of the model both in the internal training set and...

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Main Authors: Shuqin Wang, Sien Zhang, Zhi Lin, Jingxin Ma, Lijun Zhu, Guiqing Liao
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.889049/full
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author Shuqin Wang
Shuqin Wang
Sien Zhang
Zhi Lin
Jingxin Ma
Lijun Zhu
Lijun Zhu
Guiqing Liao
author_facet Shuqin Wang
Shuqin Wang
Sien Zhang
Zhi Lin
Jingxin Ma
Lijun Zhu
Lijun Zhu
Guiqing Liao
author_sort Shuqin Wang
collection DOAJ
description To identify an apoptosis-related gene (ARG) prediction model for oral squamous cell carcinoma (OSCC), we analyzed and validated the data from TCGA and GEO, respectively. Kaplan–Meier survival analysis and ROC curves showed a good prognostic ability of the model both in the internal training set and in the external testing set. Furthermore, we built a nomogram using these ARGs to forecast the survival probability of OSCC patients. Moreover, we evaluated the rate of immune cells infiltrating in the tumor samples and found obvious, different patterns between the high and low risk groups. GO and KEGG analyses demonstrated multiple molecular biological processes and signaling pathways connecting with this prognostic model in OSCC. The expression of these risk genes in clinical specimens was higher in the non-survival patients than in the well-survival patients by immunohistochemical staining analysis. In conclusion, we established a signature made up of six risk apoptosis-related genes to predict the survival rate of OSCC. These genes could also be targets for the treatment of OSCC.
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spelling doaj.art-a434ededd8e64e28a72277297571623c2022-12-22T03:26:10ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-06-011210.3389/fonc.2022.889049889049Identification and Validation of an Apoptosis-Related Gene Prognostic Signature for Oral Squamous Cell CarcinomaShuqin Wang0Shuqin Wang1Sien Zhang2Zhi Lin3Jingxin Ma4Lijun Zhu5Lijun Zhu6Guiqing Liao7Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, ChinaDepartment of Oral and Maxillofacial Surgery, Guangdong Provincial People’s Hospital & Guangdong Academy of Medical Sciences, Guangzhou, ChinaHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, ChinaDepartment of Stomatology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, ChinaHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, ChinaDepartment of Oral and Maxillofacial Surgery, Guangdong Provincial People’s Hospital & Guangdong Academy of Medical Sciences, Guangzhou, ChinaSchool of Stomatology, Southern Medical University, Guangzhou, ChinaHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, ChinaTo identify an apoptosis-related gene (ARG) prediction model for oral squamous cell carcinoma (OSCC), we analyzed and validated the data from TCGA and GEO, respectively. Kaplan–Meier survival analysis and ROC curves showed a good prognostic ability of the model both in the internal training set and in the external testing set. Furthermore, we built a nomogram using these ARGs to forecast the survival probability of OSCC patients. Moreover, we evaluated the rate of immune cells infiltrating in the tumor samples and found obvious, different patterns between the high and low risk groups. GO and KEGG analyses demonstrated multiple molecular biological processes and signaling pathways connecting with this prognostic model in OSCC. The expression of these risk genes in clinical specimens was higher in the non-survival patients than in the well-survival patients by immunohistochemical staining analysis. In conclusion, we established a signature made up of six risk apoptosis-related genes to predict the survival rate of OSCC. These genes could also be targets for the treatment of OSCC.https://www.frontiersin.org/articles/10.3389/fonc.2022.889049/fulloral squamous cell carcinomaapoptosis-related genesprognosisnomogramthe cancer genome atlas
spellingShingle Shuqin Wang
Shuqin Wang
Sien Zhang
Zhi Lin
Jingxin Ma
Lijun Zhu
Lijun Zhu
Guiqing Liao
Identification and Validation of an Apoptosis-Related Gene Prognostic Signature for Oral Squamous Cell Carcinoma
Frontiers in Oncology
oral squamous cell carcinoma
apoptosis-related genes
prognosis
nomogram
the cancer genome atlas
title Identification and Validation of an Apoptosis-Related Gene Prognostic Signature for Oral Squamous Cell Carcinoma
title_full Identification and Validation of an Apoptosis-Related Gene Prognostic Signature for Oral Squamous Cell Carcinoma
title_fullStr Identification and Validation of an Apoptosis-Related Gene Prognostic Signature for Oral Squamous Cell Carcinoma
title_full_unstemmed Identification and Validation of an Apoptosis-Related Gene Prognostic Signature for Oral Squamous Cell Carcinoma
title_short Identification and Validation of an Apoptosis-Related Gene Prognostic Signature for Oral Squamous Cell Carcinoma
title_sort identification and validation of an apoptosis related gene prognostic signature for oral squamous cell carcinoma
topic oral squamous cell carcinoma
apoptosis-related genes
prognosis
nomogram
the cancer genome atlas
url https://www.frontiersin.org/articles/10.3389/fonc.2022.889049/full
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