Assessment of immune status of laryngeal squamous cell carcinoma can predict prognosis and guide treatment

作者:Wang, Xueying; Cao, Kui; Guo, Erliang; Mao, Xionghui; An, Changming; Guo, Lunhua; Zhang, Cong; Guo, Junnan; Yang, Xianguang; Sun, Ji; Yang, Weiwei; Li, Xiaomei*; Miao, Susheng*
来源:Cancer Immunology, Immunotherapy, 2022, 71(5): 1199-1220.
DOI:10.1007/s00262-021-03071-7

摘要

Background In the past few years, immunotherapy has changed the way we treat solid tumors. People pay more and more attention to the immune microenvironment of laryngeal squamous cell carcinoma (LSCC). In this study, our immunotherapy research took advantage of the clinical database and focused our in-depth analysis on the tumor microenvironment (TME). Methods This study evaluated the relationship between the clinical outcome and the local tissue and overall immune status in 412 patients with primary LSCC. We constructed and validated a risk model that could predict prognosis, assess immune status, identify high-risk patients, and develop personalized treatment plans through bioinformatics. In addition, through immunohistochemical analysis, we verified the differential expression of CTSL and KDM5D genes with the largest weight coefficients in the model in LSCC tissues and their influence on the prognosis and tumor-infiltrating lymphocytes (TILs). Results We found that interstitial tumor-infiltrating lymphocytes, tumor parenchymal-infiltrating lymphocyte volume, tumor infiltrates lymphocytes of frontier invasion, and the platelet-to-lymphocyte ratio (PLR) were independent factors affecting the prognosis of patients with LSCC. A novel risk model can guide clinicians to accurately predict prognosis, identify high-risk patients, and formulate personalized treatment plans. The differential expression of genes such as CTSL and KDM5D has a significant correlation with the TILs of LSCC and the prognosis of patients. Conclusion Local and systemic inflammatory markers in patients with laryngeal squamous cell carcinoma are reliable prognostic factors. The risk model and CTSL, KDM5D gene have important potential research value.

  • 单位
    中国医学科学院; 哈尔滨医科大学