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Translational Cancer Mechanisms and Therapy

An Immune-Related Gene Prognostic Index for Head and Neck Squamous Cell Carcinoma

Yue Chen, Zhi-Yong Li, Guan-Qun Zhou and Ying Sun
Yue Chen
1Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P.R. China.
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Zhi-Yong Li
2Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, P.R. China.
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Guan-Qun Zhou
1Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P.R. China.
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  • For correspondence: zhougq@sysucc.org.cn sunying@sysucc.org.cn
Ying Sun
1Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, P.R. China.
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  • For correspondence: zhougq@sysucc.org.cn sunying@sysucc.org.cn
DOI: 10.1158/1078-0432.CCR-20-2166 Published January 2021
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Abstract

Purpose: To construct an immune-related gene prognostic index (IRGPI) for head and neck squamous cell carcinoma (HNSCC) and clarify the molecular and immune characteristics and the benefit of immune checkpoint inhibitor (ICI) therapy in IRGPI-defined subgroups of HNSCC.

Experimental Design: On the basis of The Cancer Genome Atlas HNSCC immune dataset (n = 546), 22 immune-related hub genes were identified by weighted gene coexpression network analysis. Three genes were identified to construct an IRGPI by using the Cox regression method and validated with the Gene Expression Omnibus (GEO) dataset (n = 270). Afterward, the molecular and immune characteristics and the benefit of ICI therapy in IRGPI-defined subgroups were analyzed.

Results: The IRGPI was constructed on the basis of SFRP4, CPXM1, and COL5A1 genes. IRGPI-high patients had a better overall survival than IRGPI-low patients, consistent with the results in the GEO cohort. The comprehensive results showed that a high IRGPI score was correlated with DNA repair–related pathways; low TP53 mutation rate; high infiltration of CD8 T cells, CD4 T cells, and M1 macrophages; active immunity and less aggressive phenotypes; and more benefit from ICI therapy. In contrast, a low IRGPI score was associated with cancer and metastasis-related pathways; high TP53 and PIK3CA mutation rate; high infiltration of B cells, M0 macrophages, and M2 macrophages; suppressive immunity and more aggressive phenotypes; and less benefit from ICI therapy.

Conclusions: IRGPI is a promising biomarker to distinguish the prognosis, the molecular and immune characteristics, and the immune benefit from ICI therapy in HNSCC.

Footnotes

  • Note: Supplementary data for this article are available at Clinical Cancer Research Online (http://clincancerres.aacrjournals.org/).

  • Clin Cancer Res 2021;27:330–41

  • Received June 4, 2020.
  • Revision received August 7, 2020.
  • Accepted October 19, 2020.
  • Published first October 23, 2020.
  • ©2020 American Association for Cancer Research.
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Clinical Cancer Research: 27 (1)
January 2021
Volume 27, Issue 1
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An Immune-Related Gene Prognostic Index for Head and Neck Squamous Cell Carcinoma
Yue Chen, Zhi-Yong Li, Guan-Qun Zhou and Ying Sun
Clin Cancer Res January 1 2021 (27) (1) 330-341; DOI: 10.1158/1078-0432.CCR-20-2166

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An Immune-Related Gene Prognostic Index for Head and Neck Squamous Cell Carcinoma
Yue Chen, Zhi-Yong Li, Guan-Qun Zhou and Ying Sun
Clin Cancer Res January 1 2021 (27) (1) 330-341; DOI: 10.1158/1078-0432.CCR-20-2166
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