1. Zhao X, Mai Z, Liu L, et al.Hypoxia-driven TNS4 fosters HNSCC tumorigenesis by stabilizing integrin α5β1 complex and triggering FAK-mediated Akt and TGFβ signaling pathways. Int J Biol Sci 2024; 20(1):231-48. doi: 10.7150/ijbs.86317. 2. Guo X, Xu L, Nie L, et al.B cells in head and neck squamous cell carcinoma: current opinion and novel therapy. Cancer Cell Int 2024; 24(1):41. doi: 10.1186/s12935-024-03218-3. 3. Mathan SV, Singh R, Kim SH, et al.Diallyl trisulfide induces ROS-mediated mitotic arrest and apoptosis and inhibits HNSCC tumor growth and cancer stemness. Cancers (Basel) 2024; 16(2):378. doi: 10.3390/cancers16020378. 4. Liu S, Wang R, Fang J.Exploring the frontiers: tumor immune microenvironment and immunotherapy in head and neck squamous cell carcinoma. Discov Oncol 2024; 15(1):22, doi: 10.1007/s12672-024-00870-z. 5. Gong X, Xiong J, Gong Y, et al.Deciphering the role of HPV-mediated metabolic regulation in shaping the tumor microenvironment and its implications for immunotherapy in HNSCC. Front Immunol 2023; 14:1275270. doi: 10.3389/fimmu.2023.1275270. 6. Li C, Guo H, Zhai P, et al.Spatial and single-cell transcriptomics reveal a cancer-associated fibroblast subset in HNSCC that restricts infiltration and antitumor activity of CD8+ T cells. Cancer Res 2024; 84(2):258-75. doi: 10.1158/0008-5472.Can-23-1448. 7. Han X, Zhang H, Sun K, et al.Durvalumab with or without tremelimumab for patients with recurrent or metastatic squamous cell carcinoma of the head and neck: a systematic review and meta-analysis. Front Immunol 2023; 14:1302840. doi: 10.3389/fimmu.2023.1302840. 8. Ritchie ME, Phipson B, Wu D, et al.limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res 2015; 43(7):e47. doi: 10.1093/nar/gkv007. 9. Stuart T, Butler A, Hoffman P, et al. Comprehensive integration of single-cell data. Cell2019; 177(7):1888-902.e21. doi: 10.1016/j.cell.2019.05.031. 10. Andreatta M, Carmona SJ.UCell: robust and scalable single-cell gene signature scoring. Comput Struct Biotechnol J 2021; 19:3796-8. doi: 10.1016/j.csbj.2021.06.043. 11. Wu T, Hu E, Xu S, et al.clusterProfiler 4.0: a universal enrichment tool for interpreting omics data. Innovation (Camb) 2021; 2(3):100141. doi: 10.1016/j.xinn.2021.100141. 12. Subramanian A, Tamayo P, Mootha VK, et al.Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA 2005; 102(43):15545-50. doi: 10.1073/pnas.0506580102. 13. Hänzelmann S, Castelo R, Guinney J.GSVA: gene set variation analysis for microarray and RNA-seq data. BMC Bioinformatics 2013; 14:7. doi: 10.1186/1471-2105-14-7. 14. Tibshirani R.Regression shrinkage and selection via the Lasso. J Royal Statistical Society: Series B (Methodological) 1996; 58(1):267-88. 15. Han Y, Huang L, Zhou F.A dynamic recursive feature elimination framework (dRFE) to further refine a set of OMIC biomarkers. Bioinformatics 2021; 37(15):2183-9. doi: 10.1093/bioinformatics/btab055. 16. Newman AM, Liu CL, Green MR, et al.Robust enumeration of cell subsets from tissue expression profiles. Nat Methods 2015; 12(5):453-7. doi: 10.1038/nmeth.3337. 17. Yoshihara K, Shahmoradgoli M, Martínez E, et al.Inferring tumour purity and stromal and immune cell admixture from expression data. Nat Commun 2013; 4:2612. doi: 10.1038/ncomms3612. 18. Gulati GS, Sikandar SS, Wesche DJ, et al.Single-cell transcriptional diversity is a hallmark of developmental potential. Science 2020; 367(6476):405-11. doi: 10.1126/science.aax0249. 19. Cao J, Spielmann M, Qiu X, et al.The single-cell transcriptional landscape of mammalian organogenesis. Nature 2019; 566(7745):496-502. doi: 10.1038/s41586-019-0969-x. 20. Lai Y, Lu X, Liao Y, et al.Crosstalk between glioblastoma and tumor microenvironment drives proneural-mesenchymal transition through ligand-receptor interactions. Genes Dis 2024; 11(2):874-89. doi: 10.1016/j.gendis.2023.05.025. 21. Jin S, Guerrero-Juarez CF, Zhang L, et al.Inference and analysis of cell-cell communication using CellChat. Nat Commun 2021; 12(1):1088. doi: 10.1038/s41467-021-21246-9. 22. Maeser D, Gruener RF, Huang RS. oncoPredict: an R package for predicting in vivo or cancer patient drug response and biomarkers from cell line screening data. Brief Bioinform2021; 22(6):bbab260. doi: 10.1093/bib/bbab260. 23. Fustero-Torre C, Jiménez-Santos MJ, García-Martín S, et al.Beyondcell: targeting cancer therapeutic heterogeneity in single-cell RNA-seq data. Genome Med 2021; 13(1):187. doi: 10.1186/s13073-021-01001-x. 24. Fu J, Li K, Zhang W, et al.Large-scale public data reuse to model immunotherapy response and resistance. Genome Med 2020; 12(1):21. doi: 10.1186/s13073-020-0721-z. 25. Zhao X, Guo B, Sun W, et al.Targeting squalene epoxidase confers metabolic vulnerability and overcomes chemoresistance in HNSCC. Adv Sci (Weinh) 2023; 10(27):e2206878. doi: 10.1002/advs.202206878. 26. Guo Y, Nakashima T, Cho BC, et al.Clinical decision pathway and management of locally advanced head and neck squamous cell carcinoma: A multidisciplinary consensus in Asia-Pacific. Oral Oncol 2024; 148:106657. doi: 10.1016/j.oraloncology.2023.106657. 27. Runnels J, Bloom JR, Hsieh K, et al.Combining radiotherapy and immunotherapy in head and neck cancer. Biomedicines 2023; 11(8):2097. doi: 10.3390/biomedicines11082097. 28. Zhang J, Joshua AM, Li Y, et al.Targeted therapy, immunotherapy, and small molecules and peptidomimetics as emerging immunoregulatory agents for melanoma. Cancer Lett 2024; 586:216633. doi: 10.1016/j.canlet.2024.216633. 29. Yin J, Gu T, Chaudhry N, et al.Epigenetic modulation of antitumor immunity and immunotherapy response in breast cancer: biological mechanisms and clinical implications. Front Immunol 2023; 14:1325615. doi: 10.3389/fimmu.2023.1325615. 30. Iwasa YI, Nakajima T, Hori K, et al.A spatial transcriptome reveals changes in tumor and tumor microenvironment in oral cancer with acquired resistance to immunotherapy. Biomolecules 2023; 13(12):1685. doi: 10.3390/biom13121685. 31. Meliante PG, Zoccali F, de Vincentiis M, et al. Diagnostic predictors of immunotherapy response in head and neck squamous cell carcinoma. Diagnostics (Basel) 2023; 13(5):862. doi: 10.3390/diagnostics13050862. 32. Wei F, Fang R, Lyu K, et al.Exosomal PD-L1 derived from head and neck squamous cell carcinoma promotes immune evasion by activating the positive feedback loop of activated regulatory T cell-M2 macrophage. Oral Oncol 2023; 145:106532. doi: 10.1016/j.oraloncology.2023.106532. 33. Jin Y, Qin X.Profiles of immune cell infiltration and their clinical significance in head and neck squamous cell carcinoma. Int Immunopharmacol 2020; 82:106364. doi: 10.1016/j.intimp.2020.106364. 34. Bao J, Betzler AC, Hess J, et al.Exploring the dual role of B cells in solid tumors: implications for head and neck squamous cell carcinoma. Front Immunol 2023; 14:1233085. doi: 10.3389/fimmu.2023.1233085. 35. Stelzer G, Rosen N, Plaschkes I, et al. The GeneCards suite: from gene data mining to disease genome sequence analyses. Curr Protoc Bioinformatics2016; 54:1.30.1-1.30.33. doi: 10.1002/cpbi.5. 36. Thul PJ, Åkesson L, Wiking M, et al. A subcellular map of the human proteome. Science2017; 356(6340):eaal3321. doi: 10.1126/science.aal3321. 37. Wang Z, Huang R, Wang H, et al.Prognostic and immunological role of PPP1R14A as a Pan-cancer analysis candidate. Front Genet 2022; 13:842975. doi: 10.3389/fgene.2022.842975. 38. Tian Y, Soupir A, Liu Q, et al.Novel role of prostate cancer risk variant rs7247241 on PPP1R14A isoform transition through allelic TF binding and CpG methylation. Hum Mol Genet 2022; 31(10):1610-21. doi: 10.1093/hmg/ddab347. 39. Liu L, Zhu H, Wang P, et al.Construction of a six-gene prognostic risk model related to hypoxia and angiogenesis for cervical cancer. Front Genet 2022; 13:923263. doi: 10.3389/fgene.2022.923263. 40. Yu QS, Feng WQ, Shi LL, et al.Integrated analysis of cortex single-cell transcriptome and serum proteome reveals the novel biomarkers in Alzheimer's disease. Brain Sci 2022; 12(8):1022. doi: 10.3390/brainsci12081022. 41. Zou W, Green DR.Beggars banquet: Metabolism in the tumor immune microenvironment and cancer therapy. Cell Metab 2023; 35(7):1101-13. doi: 10.1016/j.cmet.2023.06.003. 42. Liu N, Yan M, Tao Q, et al.Inhibition of TCA cycle improves the anti-PD-1 immunotherapy efficacy in melanoma cells via ATF3-mediated PD-L1 expression and glycolysis. J Immunother Cancer 2023; 11(9):e007146. doi: 10.1136/jitc-2023-007146. 43. Yang L, Chu Z, Liu M, et al.Amino acid metabolism in immune cells: essential regulators of the effector functions, and promising opportunities to enhance cancer immunotherapy. J Hematol Oncol 2023; 16(1):59. doi: 10.1186/s13045-023-01453-1. 44. Liu Y, Li S, Wang S, et al.LIMP-2 enhances cancer stem-like cell properties by promoting autophagy-induced GSK3β degradation in head and neck squamous cell carcinoma. Int J Oral Sci 2023; 15(1):24. doi: 10.1038/s41368-023-00229-0. 45. Swiecicki P L, Spector M, Worden F P.Axitinib in the treatment of head and neck malignancies. Curr Clin Pharmacol 2016; 11(2):72-6. doi: 10.2174/1574884711666160518120622. 46. qaQAQA-3Swiecicki PL, Bellile EL, Brummel CV, et al. Efficacy of axitinib in metastatic head and neck cancer with novel radiographic response criteria. Cancer 2021; 127(2):219-28. doi: 10.1002/cncr.33226. |