Multi omics analysis of mitophagy subtypes and integration of machine learning for predicting immunotherapy responses in head and neck squamous cell carcinoma-Reference-Cited by-同舟云学术

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Multi omics analysis of mitophagy subtypes and integration of machine learning for predicting immunotherapy responses in head and neck squamous cell carcinoma

Published:2024-06-21 Issue:12 Volume:16 Page:10579-10614
ISSN:1945-4589
Container-title:Aging
language:en
Short-container-title:Aging

Author:

Liu Junzhi¹,Li Huimin²,Dong Qiuping²,Liang Zheng¹

Affiliation:

1. Department of Otorhinolaryngology, Tianjin Medical University General Hospital, Tianjin 300052, China

2. Laboratory of Cancer Cell Biology, National Clinical Research Center for Cancer, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin’s Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China

Publisher

Impact Journals, LLC

Reference96 articles.

1. Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life-years for 32 Cancer Groups, 1990 to 2015: A Systematic Analysis for the Global Burden of Disease Study.;Hancock;JAMA Oncol,2017

2. New developments in the management of head and neck cancer - impact of pembrolizumab.;Kourie;Ther Clin Risk Manag,2018

3. Tumor hypoxia is associated with resistance to PD-1 blockade in squamous cell carcinoma of the head and neck.;Delgoffe;J Immunother Cancer,2021

4. Tumor microenvironment and immune evasion in head and neck squamous cell carcinoma.;Wang;Int J Oral Sci,2021

5. Mitochondrial quality control: a matter of life and death for neurons.;Langer;EMBO J,2012

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