Kratzer TB, Jemal A, Miller KD, Nash S, Wiggins C, Redwood D, et al. Cancer statistics for American Indian and Alaska native individuals, 2022: including increasing disparities in early onset colorectal cancer. CA Cancer J Clin. 2023;73(2):120–46.
Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J Clin. 2022;72(1):7–33.
Mourad M, Jetmore T, Jategaonkar AA, Moubayed S, Moshier E, Urken ML. Epidemiological trends of head and neck cancer in the United States: a SEER population study. J Oral Maxillofac Surg. 2017;75(12):2562–72.
Article PubMed PubMed Central Google Scholar
Fitzmaurice C, Allen C, Barber RM, Barregard L, Bhutta ZA, Brenner H, et al. 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. JAMA Oncol. 2017;3(4):524–48.
Gillison ML, Chaturvedi AK, Anderson WF, Fakhry C. Epidemiology of human papillomavirus-positive head and neck squamous cell carcinoma. J Clin Oncol. 2015;33(29):3235–42.
Article CAS PubMed PubMed Central Google Scholar
Jin S, Li M, Chang H, Wang R, Zhang Z, Zhang J, et al. The m6A demethylase ALKBH5 promotes tumor progression by inhibiting RIG-I expression and interferon alpha production through the IKKε/TBK1/IRF3 pathway in head and neck squamous cell carcinoma. Mol Cancer. 2022;21(1):97.
Article CAS PubMed PubMed Central Google Scholar
Li S, Wu Q, Liu J, Zhong Y. Identification of Two m6A readers YTHDF1 and IGF2BP2 as immune biomarkers in head and neck squamous cell carcinoma. Front Genet. 2022;13: 903634.
Article CAS PubMed PubMed Central Google Scholar
Li Y, Zheng JN, Wang EH, Gong CJ, Lan KF, Ding X. The m6A reader protein YTHDC2 is a potential biomarker and associated with immune infiltration in head and neck squamous cell carcinoma. PeerJ. 2020;8: e10385.
Article PubMed PubMed Central Google Scholar
Leemans CR, Snijders PJF, Brakenhoff RH. The molecular landscape of head and neck cancer. Nat Rev Cancer. 2018;18(5):269–82.
Article CAS PubMed Google Scholar
Van den Bossche V, Zaryouh H, Vara-Messler M, Vignau J, Machiels JP, Wouters A, et al. Microenvironment-driven intratumoral heterogeneity in head and neck cancers: clinical challenges and opportunities for precision medicine. Drug Resist Updat. 2022;60: 100806.
Weber P, Künstner A, Hess J, Unger K, Marschner S, Idel C, et al. Therapy-related transcriptional subtypes in matched primary and recurrent head and neck cancer. Clin Cancer Res. 2022;28(5):1038–52.
Article CAS PubMed Google Scholar
Tahara M, Kiyota N, Yokota T, Hasegawa Y, Muro K, Takahashi S, et al. Phase II trial of combination treatment with paclitaxel, carboplatin and cetuximab (PCE) as first-line treatment in patients with recurrent and/or metastatic squamous cell carcinoma of the head and neck (CSPOR-HN02). Ann Oncol. 2018;29(4):1004–9.
Article CAS PubMed Google Scholar
Rodon J, Soria JC, Berger R, Miller WH, Rubin E, Kugel A, Tsimberidou A, Saintigny P, Ackerstein A, Braña I, Loriot Y. Genomic and transcriptomic profiling expands precision cancer medicine: the WINTHER trial. Nature Med. 2019;25(5):751–8.
Article CAS PubMed Google Scholar
Hlevnjak M, Schulze M, Elgaafary S, Fremd C, Michel L, Beck K, Pfütze K, Richter D, Wolf S, Horak P, Kreutzfeldt S. CATCH: a prospective precision oncology trial in metastatic breast cancer. JCO Precis Oncol. 2021;5:676–86.
Necchi A, Bajorin DF, Tomita Y, Ye D, Agerbæk M, Enting D, Peer A, Milowsky M, Kobayashi K, Grimm MO, Stenner-Liewen F. 1737MO tumor and immune features associated with disease-free survival with adjuvant nivolumab in the phase III CheckMate 274 trial. Annals of Oncol. 2022;1(33):S1331.
Supplitt S, Karpinski P, Sasiadek M, Laczmanska I. Current achievements and applications of transcriptomics in personalized cancer medicine. Int J Mol Sci. 2021;22:1422.
Article CAS PubMed PubMed Central Google Scholar
Hedberg ML, Goh G, Chiosea SI, Bauman JE, Freilino ML, Zeng Y, et al. Genetic landscape of metastatic and recurrent head and neck squamous cell carcinoma. J Clin Invest. 2016;126(1):169–80.
Schinke H, Shi E, Lin Z, Quadt T, Kranz G, Zhou J, et al. A transcriptomic map of EGFR-induced epithelial-to-mesenchymal transition identifies prognostic and therapeutic targets for head and neck cancer. Mol Cancer. 2022;21(1):178.
Article CAS PubMed PubMed Central Google Scholar
Schinke H, Pan M, Akyol M, Zhou J, Shi E, Kranz G, et al. SLUG-related partial epithelial-to-mesenchymal transition is a transcriptomic prognosticator of head and neck cancer survival. Mol Oncol. 2022;16(2):347–67.
Article CAS PubMed Google Scholar
Chen Y, Li ZY, Zhou GQ, Sun Y. An Immune-related gene prognostic index for head and neck squamous cell carcinoma. Clin Cancer Res. 2021;27(1):330–41.
Zhu W, Ye Z, Chen L, Liang H, Cai Q. A pyroptosis-related lncRNA signature predicts prognosis and immune microenvironment in head and neck squamous cell carcinoma. Int Immunopharmacol. 2021;101(Pt B): 108268.
Article CAS PubMed Google Scholar
Li Z, Shen L, Li Y, Shen L, Li N. Identification of pyroptosis-related gene prognostic signature in head and neck squamous cell carcinoma. Cancer Med. 2022;11(24):5129–44.
Article CAS PubMed PubMed Central Google Scholar
Lê Cao KA, Meugnier E, McLachlan GJ. Integrative mixture of experts to combine clinical factors and gene markers. Bioinformatics. 2010;26(9):1192–8.
Article PubMed PubMed Central Google Scholar
Nan Z, Dou Y, Chen A, Wang K, Sun J, Meng Z, et al. Identification and validation of a prognostic signature of autophagy, apoptosis and pyroptosis-related genes for head and neck squamous cell carcinoma: to imply therapeutic choices of HPV negative patients. Front Immunol. 2022;13:1100417.
Article CAS PubMed Google Scholar
Budach V, Tinhofer I. Novel prognostic clinical factors and biomarkers for outcome prediction in head and neck cancer: a systematic review. Lancet Oncol. 2019;20(6):e313–26.
Weng Y, Ning P. Construction of a prognostic prediction model for renal clear cell carcinoma combining clinical traits. Sci Rep. 2023;13(1):3358.
Article CAS PubMed PubMed Central Google Scholar
Xie G, Dong C, Kong Y, Zhong JF, Li M, Wang K. Group lasso regularized deep learning for cancer prognosis from multi-omics and clinical features. Genes. 2019;10(3):240.
Article CAS PubMed PubMed Central Google Scholar
Yin F, Shao X, Zhao L, Li X, Zhou J, Cheng Y, He X, Lei S, Li J, Wang J. Predicting prognosis of endometrioid endometrial adenocarcinoma on the basis of gene expression and clinical features using random forest. Oncol Let. 2019;18(2):1597–606.
Sun C, Li H, Mills RE, Guan Y. Prognostic model for multiple myeloma progression integrating gene expression and clinical features. Gigascience. 2019;8(12):giz153.
Article PubMed PubMed Central Google Scholar
Cai HY, Yang HS, Shan SC, Lei YY, Zou JY, Zhu Y, Luo HH. A novel signature based on immune-related gene pairs and clinical features to predict prognosis and treatment effect in “driver gene negative” lung adenocarcinoma. Cancer Med. 2022;11(11):2259–70.
Article CAS PubMed PubMed Central Google Scholar
Fan C, Prat A, Parker JS, Liu Y, Carey LA, Troester MA, Perou CM. Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures. BMC Medical Genom. 2011;4:1–5.
Howard FM, Kochanny S, Koshy M, Spiotto M, Pearson AT. Machine learning-guided adjuvant treatment of head and neck cancer. JAMA Netw Open. 2020;3(11): e2025881.
Article PubMed PubMed Central Google Scholar
Peng Z, Wang Y, Wang Y, Jiang S, Fan R, Zhang H, et al. Application of radiomics and machine learning in head and neck cancers. Int J Biol Sci. 2021;17(2):475–86.
Article PubMed PubMed Central Google Scholar
Alabi RO, Youssef O, Pirinen M, Elmusrati M, Mäkitie AA, Leivo I, et al. Machine learning in oral squamous cell carcinoma: current status, clinical concerns and prospects for future-A systematic review. Artif Intell Med. 2021;115: 102060.
Charoentong P, Finotello F, Angelova M, Mayer C, Efremova M, Rieder D, Hackl H, Trajanoski Z. Pan-cancer immunogenomic analyses reveal genotype-immunophenotype relationships and predictors of response to checkpoint blockade. Cell Rep. 2017;18(1):248–62.
Article CAS PubMed Google Scholar
Cox DR. Regression models and life-tables. J Royal Stat Soc Series B. 1972;34(2):187–202.
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