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      A novel immune-related prognostic model with surgical status to predict tumor immune cell infiltration and drug sensitivity in head and neck squamous cell carcinoma

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          Abstract

          Tumor-infiltrating immune cells (TICs) affect tumorigenesis and tumor development in head and neck squamous cell carcinoma (HNSCC). We constructed a novel predictive model for HNSCC based on immune-related genes (IRGs) from The Cancer Genome Atlas and the Immunology Database and Analysis Portal. After identifying the IRGs, a predictive model involving 13 IRGs with high stratification value of overall survival ( OS) was constructed by multiple support vector machine recursive feature elimination and least absolute shrinkage and selection operator regression. We explored the relationship between the risk score (RS) and clinical characteristics. The nomogram showed high concordance and good agreement in OS. Four TICs affected the OS and were in agreement with the abundance analysis of the RS levels. Furthermore, the low-risk HNSCC group showed higher expression of PD-1, CTLA4, and TIGIT, while the high-risk group showed higher expression of EGFR. The high-risk HNSCC showed high sensitivity to eight drugs.

          Highlights

          • •

            LASSO and mSVM-RFE optimize prognostic model.

          • •

            RS predicts TICs of HNSCC.

          • •

            Therapeutic target and drug sensitivity are predicted.

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          Most cited references35

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          Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

          Hyuna Sung, Jacques Ferlay, Rebecca Siegel … (2021)
          This article provides an update on the global cancer burden using the GLOBOCAN 2020 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer. Worldwide, an estimated 19.3 million new cancer cases (18.1 million excluding nonmelanoma skin cancer) and almost 10.0 million cancer deaths (9.9 million excluding nonmelanoma skin cancer) occurred in 2020. Female breast cancer has surpassed lung cancer as the most commonly diagnosed cancer, with an estimated 2.3 million new cases (11.7%), followed by lung (11.4%), colorectal (10.0 %), prostate (7.3%), and stomach (5.6%) cancers. Lung cancer remained the leading cause of cancer death, with an estimated 1.8 million deaths (18%), followed by colorectal (9.4%), liver (8.3%), stomach (7.7%), and female breast (6.9%) cancers. Overall incidence was from 2-fold to 3-fold higher in transitioned versus transitioning countries for both sexes, whereas mortality varied <2-fold for men and little for women. Death rates for female breast and cervical cancers, however, were considerably higher in transitioning versus transitioned countries (15.0 vs 12.8 per 100,000 and 12.4 vs 5.2 per 100,000, respectively). The global cancer burden is expected to be 28.4 million cases in 2040, a 47% rise from 2020, with a larger increase in transitioning (64% to 95%) versus transitioned (32% to 56%) countries due to demographic changes, although this may be further exacerbated by increasing risk factors associated with globalization and a growing economy. Efforts to build a sustainable infrastructure for the dissemination of cancer prevention measures and provision of cancer care in transitioning countries is critical for global cancer control.
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            Robust enumeration of cell subsets from tissue expression profiles

            Aaron Newman, Chih Long Liu, Michael Green … (2015)
            We introduce CIBERSORT, a method for characterizing cell composition of complex tissues from their gene expression profiles. When applied to enumeration of hematopoietic subsets in RNA mixtures from fresh, frozen, and fixed tissues, including solid tumors, CIBERSORT outperformed other methods with respect to noise, unknown mixture content, and closely related cell types. CIBERSORT should enable large-scale analysis of RNA mixtures for cellular biomarkers and therapeutic targets (http://cibersort.stanford.edu).
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              Head and Neck Cancer

              Dan L Longo, Laura Q.M. Chow (2020)
              Article 0 comments Cited 562 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Chenglong Wang
                Journal
                Journal ID (nlm-ta): Biochem Biophys Rep
                Journal ID (iso-abbrev): Biochem Biophys Rep
                Title: Biochemistry and Biophysics Reports
                Publisher: Elsevier
                ISSN (Electronic): 2405-5808
                Publication date PMC-release: 14 October 2023
                Publication date Collection: December 2023
                Publication date (Electronic): 14 October 2023
                Volume: 36
                Electronic Location Identifier: 101557
                Affiliations
                [a ]Department of Radiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, PR China
                [b ]School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan Province, 611731, PR China
                [c ]Department of Radiology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, Sichuan Province, 621000, PR China
                Author notes
                [∗ ]Corresponding author. Department of Radiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, 18 3rd Section, Renmin Nanlu Road, Chengdu, Sichuan Province, 610041, PR China. wcl_scu2017@ 123456163.com
                [1]

                These authors contribute equally.

                Article
                Publisher Item ID: S2405-5808(23)00138-3 Publisher ID: 101557
                DOI: 10.1016/j.bbrep.2023.101557
                PMC ID: 10585349
                PubMed ID: 37868302
                SO-VID: 2c8b4f5e-0bbd-4fa9-9559-1a679270e169
                Copyright © © 2023 The Authors
                License:

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                Date received : 3 August 2023
                Date revision received : 13 September 2023
                Date accepted : 10 October 2023
                Categories
                Subject: Research Article

                Keywords: hnscc,tumor-infiltrating immune cell,prognostic model,drug sensitivity
                Data availability:
                Keywords: hnscc, tumor-infiltrating immune cell, prognostic model, drug sensitivity

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