Department of Head and Neck Surgery, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Department of Laboratory, Harbin Medical University Cancer Hospital, Harbin, 150081, China.
Cancer Immunol Immunother. 2022 May;71(5):1199-1220. doi: 10.1007/s00262-021-03071-7. Epub 2021 Oct 13.
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).
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).
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.
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.
在过去的几年中,免疫疗法改变了我们治疗实体瘤的方式。人们越来越关注喉鳞状细胞癌(LSCC)的免疫微环境。在这项研究中,我们的免疫治疗研究利用了临床数据库,并深入分析了肿瘤微环境(TME)。
本研究评估了 412 例原发性 LSCC 患者的临床结局与局部组织和整体免疫状态之间的关系。我们通过生物信息学构建并验证了一个风险模型,该模型可以预测预后、评估免疫状态、识别高危患者,并制定个性化治疗计划。此外,通过免疫组织化学分析,我们验证了模型中具有最大权重系数的 CTSL 和 KDM5D 基因在 LSCC 组织中的差异表达及其对预后和肿瘤浸润淋巴细胞(TIL)的影响。
我们发现间质肿瘤浸润淋巴细胞、肿瘤实质浸润淋巴细胞体积、肿瘤前沿浸润肿瘤浸润淋巴细胞和血小板与淋巴细胞比值(PLR)是影响 LSCC 患者预后的独立因素。一个新的风险模型可以指导临床医生准确预测预后、识别高危患者,并制定个性化治疗计划。CTSL 和 KDM5D 等基因的差异表达与 LSCC 的 TIL 和患者的预后有显著相关性。
喉鳞状细胞癌患者的局部和全身炎症标志物是可靠的预后因素。风险模型和 CTSL、KDM5D 基因具有重要的潜在研究价值。