A Tumor-Infiltration CD8+ T Cell-Based Gene Signature for Facilitating the Prognosis and Estimation of Immunization Responses in HPV+ Head and Neck Squamous Cell Cancer

BackgroundCD8+ T cells, which play a vital role in response to adaptive immunity, are closely related to the immunization responses to kill tumor cells. Understanding the effects exerted by tumor-infiltrated CD8+ T cells in HPV+ and HPV- head and neck squamous cell carcinoma (HNSCC) patients is crit...

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Main Authors: Yingning Wu, Lingzhang Meng, Kai Cai, Jingjie Zhao, Siyuan He, Jiajia Shen, Qiuju Wei, Zechen Wang, Suren Sooranna, Hengguo Li, Jian Song
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Oncology
Subjects:
HPV
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.749398/full
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record_format Article
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language English
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sources DOAJ
author Yingning Wu
Yingning Wu
Yingning Wu
Lingzhang Meng
Kai Cai
Jingjie Zhao
Siyuan He
Jiajia Shen
Qiuju Wei
Qiuju Wei
Zechen Wang
Suren Sooranna
Hengguo Li
Jian Song
Jian Song
spellingShingle Yingning Wu
Yingning Wu
Yingning Wu
Lingzhang Meng
Kai Cai
Jingjie Zhao
Siyuan He
Jiajia Shen
Qiuju Wei
Qiuju Wei
Zechen Wang
Suren Sooranna
Hengguo Li
Jian Song
Jian Song
A Tumor-Infiltration CD8+ T Cell-Based Gene Signature for Facilitating the Prognosis and Estimation of Immunization Responses in HPV+ Head and Neck Squamous Cell Cancer
Frontiers in Oncology
CD8+ T cells
HPV
immunization-correlated genes
immunization-correlated therapy
differentially expressed genes
predicted prognosis
author_facet Yingning Wu
Yingning Wu
Yingning Wu
Lingzhang Meng
Kai Cai
Jingjie Zhao
Siyuan He
Jiajia Shen
Qiuju Wei
Qiuju Wei
Zechen Wang
Suren Sooranna
Hengguo Li
Jian Song
Jian Song
author_sort Yingning Wu
title A Tumor-Infiltration CD8+ T Cell-Based Gene Signature for Facilitating the Prognosis and Estimation of Immunization Responses in HPV+ Head and Neck Squamous Cell Cancer
title_short A Tumor-Infiltration CD8+ T Cell-Based Gene Signature for Facilitating the Prognosis and Estimation of Immunization Responses in HPV+ Head and Neck Squamous Cell Cancer
title_full A Tumor-Infiltration CD8+ T Cell-Based Gene Signature for Facilitating the Prognosis and Estimation of Immunization Responses in HPV+ Head and Neck Squamous Cell Cancer
title_fullStr A Tumor-Infiltration CD8+ T Cell-Based Gene Signature for Facilitating the Prognosis and Estimation of Immunization Responses in HPV+ Head and Neck Squamous Cell Cancer
title_full_unstemmed A Tumor-Infiltration CD8+ T Cell-Based Gene Signature for Facilitating the Prognosis and Estimation of Immunization Responses in HPV+ Head and Neck Squamous Cell Cancer
title_sort tumor-infiltration cd8+ t cell-based gene signature for facilitating the prognosis and estimation of immunization responses in hpv+ head and neck squamous cell cancer
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2021-09-01
description BackgroundCD8+ T cells, which play a vital role in response to adaptive immunity, are closely related to the immunization responses to kill tumor cells. Understanding the effects exerted by tumor-infiltrated CD8+ T cells in HPV+ and HPV- head and neck squamous cell carcinoma (HNSCC) patients is critical for predicting their prognosis as well as their responses towards immunization-related therapy.Materials and MethodsHNSCC single cell transcriptome was used to screen for differentially expressed genes (DEGs) based on CD8+ T cells. A gene signature associated with CD8+ T cells was built and verified with the cancer genome atlas dataset with a view to predicting the prognosis of HNSCC patients. Risk scores were calculated for HNSCC cases and categorized into either high- or low-risk cohorts. The prognosis-correlated data of the risk scores were analyzed by using Kaplan-Meier survival curves and multi-variate Cox regression plots. In addition, the possibility of using the genetic profiles to predict responses toward immunization-related therapy was explored.ResultsFrom the DEGs screened from the sequencing of single-cell RNA, a gene signature of 4 genes (ACAP1, ANKRD28, C12orf75, and M6PR) were identified. It was seen that these genes could predict overall survival in HPV+ HNSCC patients. In addition, high- and low-risk HPV+ HNSCC patients showed marked differences in their CD8+ T-cell infiltration due to immunization when clinical characteristics were taken into consideration. This correlated with their immunization therapy responses.ConclusionsOur work provides insights into explaining the restricted responses of current immunization checkpoint inhibiting substances in HPV+ HNSCC patients. A novel genetic signature to predict the prognosis and immunization-correlated therapeutic responses is presented. This will provide potential new therapeutic opportunities for HPV+ HNSCC patients.
topic CD8+ T cells
HPV
immunization-correlated genes
immunization-correlated therapy
differentially expressed genes
predicted prognosis
url https://www.frontiersin.org/articles/10.3389/fonc.2021.749398/full
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spelling doaj-8b9cb4ef414242918f5f282d23fb69712021-09-28T14:23:36ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-09-011110.3389/fonc.2021.749398749398A Tumor-Infiltration CD8+ T Cell-Based Gene Signature for Facilitating the Prognosis and Estimation of Immunization Responses in HPV+ Head and Neck Squamous Cell CancerYingning Wu0Yingning Wu1Yingning Wu2Lingzhang Meng3Kai Cai4Jingjie Zhao5Siyuan He6Jiajia Shen7Qiuju Wei8Qiuju Wei9Zechen Wang10Suren Sooranna11Hengguo Li12Jian Song13Jian Song14Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, ChinaCenter for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, ChinaDepartment of Radiation, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, ChinaCenter for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, ChinaRadiation Therapy Center, The First Affiliated Hospital of Guangxi University of Chinese Medicine, Nanning, ChinaLife Science and Clinical Research Center, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, ChinaCenter for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, ChinaCenter for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, ChinaCenter for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, ChinaSchool of Pharmacy, Youjiang Medical University for Nationalities, Baise, ChinaCenter for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, ChinaDepartment of Metabolism, Digestion and Reproduction, Imperial College London, Chelsea & Westminster Hospital, London, United KingdomMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, ChinaCenter for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, ChinaDepartment of Radiation Oncology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, ChinaBackgroundCD8+ T cells, which play a vital role in response to adaptive immunity, are closely related to the immunization responses to kill tumor cells. Understanding the effects exerted by tumor-infiltrated CD8+ T cells in HPV+ and HPV- head and neck squamous cell carcinoma (HNSCC) patients is critical for predicting their prognosis as well as their responses towards immunization-related therapy.Materials and MethodsHNSCC single cell transcriptome was used to screen for differentially expressed genes (DEGs) based on CD8+ T cells. A gene signature associated with CD8+ T cells was built and verified with the cancer genome atlas dataset with a view to predicting the prognosis of HNSCC patients. Risk scores were calculated for HNSCC cases and categorized into either high- or low-risk cohorts. The prognosis-correlated data of the risk scores were analyzed by using Kaplan-Meier survival curves and multi-variate Cox regression plots. In addition, the possibility of using the genetic profiles to predict responses toward immunization-related therapy was explored.ResultsFrom the DEGs screened from the sequencing of single-cell RNA, a gene signature of 4 genes (ACAP1, ANKRD28, C12orf75, and M6PR) were identified. It was seen that these genes could predict overall survival in HPV+ HNSCC patients. In addition, high- and low-risk HPV+ HNSCC patients showed marked differences in their CD8+ T-cell infiltration due to immunization when clinical characteristics were taken into consideration. This correlated with their immunization therapy responses.ConclusionsOur work provides insights into explaining the restricted responses of current immunization checkpoint inhibiting substances in HPV+ HNSCC patients. A novel genetic signature to predict the prognosis and immunization-correlated therapeutic responses is presented. This will provide potential new therapeutic opportunities for HPV+ HNSCC patients.https://www.frontiersin.org/articles/10.3389/fonc.2021.749398/fullCD8+ T cellsHPVimmunization-correlated genesimmunization-correlated therapydifferentially expressed genespredicted prognosis