Immunological biomarkers and predictive model for recurrence of esophageal squamous cell carcinoma after combined immunotherapy and neoadjuvant chemotherapy

食管鳞状细胞癌联合免疫治疗和新辅助化疗后复发的免疫标志物及预测模型

阅读:8
作者:Ke Yang, Fangmiao Gao, Chenxuan Zhou, Sinan Cao, Shuaining Chai, Linwei Li

Conclusion

Immunological biomarkers, including tumor-infiltrating lymphocytes, serum tumor antibodies, immune checkpoint expression, and HLA expression are associated with ESCC recurrence risk within 3 years of combined immunotherapy and neoadjuvant chemotherapy. These biomarkers may help stratify patients and guide management decisions.

Methods

This retrospective case-control study included 348 ESCC patients who received immunotherapy and neoadjuvant chemotherapy in Henan Provincial People's Hospital between 2021 and 2023. Patients were divided into a recurrence (n=197) group and a non-recurrence (n=151) group based on their recurrence within 3 years. Tumor-infiltrating lymphocytes, serum tumor-specific antibodies, immune checkpoint expression, and HLA expression were analyzed and compared between groups. Correlation and regression analyses evaluated associations between biomarkers and recurrence risk. Then, a joint prediction model was established.

Objective

To investigate the association between preoperative immunological biomarkers and risk of esophageal squamous cell carcinoma (ESCC) recurrence within 3 years after combined immunotherapy and neoadjuvant chemotherapy.

Results

The study revealed that CD8+ and Perforin+ cell percentages were significantly associated with a lower risk of recurrence (P<0.001), while EGFR, HER2, p53, PD-L1, CTLA-4, Tim-3, and LAG-3 were linked to an increased risk of recurrence (P<0.001). Lifestyle factors like salted food consumption, regular hot drink intake, gastric atrophy, and vitamin A deficiency also contributed to ESCC recurrence prediction (all P<0.05). A predictive model incorporating immune markers and risk factors for predicting ESCC recurrence within three years post-treatment demonstrated an AUC of 0.986.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。