[新辅助免疫化疗后头颈部鳞癌患者病理缓解的预测及基于临床特征和炎症标志物的临床模型的构建]。

Q. Lin, S. Yan, X. Zhang, S. W. Chen, X. Y. Li, Y. Zhang, S. T. Zhang, M. Song
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引用次数: 0

摘要

目的分析影响可切除头颈部鳞状细胞癌(HNSCC)患者新辅助免疫化疗主要病理反应(MPR)的潜在临床生物学因素。研究方法这项回顾性研究纳入了2019年6月1日至2021年12月31日期间在中山大学肿瘤防治中心接受新辅助免疫化疗的可切除HNSCC患者。采用二元逻辑回归分析临床特征、炎症标志物和MPR之间的相关性,并构建了提名图模型。采用校准曲线和决策曲线分析来验证提名图模型的预测能力和准确性。结果本研究共纳入 173 例患者,其中男性 141 例,女性 32 例,年龄在 22 岁至 83 岁之间。病理评估后,患者被分为两组:MPR组(108例)和非MPR组(65例)。物流回归分析表明,HPV+口咽癌、影像学评估为部分反应或完全反应、治疗前血小板/淋巴细胞比值较低、治疗前 C 反应蛋白/白蛋白比值较低、治疗前后 C 反应蛋白/白蛋白比值差异较小的患者更有可能出现 MPR(均 P<0.05)。根据上述因素构建的提名图模型的 C 指数为 0.826(95%CI:0.760-0.892),校准曲线和决策曲线分析证实了该模型的预测准确性。结论本研究表明,许多因素与接受新辅助免疫化疗的可切除HNSCC患者的MPR有关,所构建的提名图模型有助于为患者制定个性化治疗策略。
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[Prediction of pathological remission of head and neck squamous cell carcinoma patients after neoadjuvant immunochemotherapy and construction of clinical model based on clinical features and inflammatory markers].
Objective: To analyze the potential clinical biological factors influencing the major pathological response (MPR) to neoadjuvant immunochemotherapy in patients with resectable head and neck squamous cell carcinoma (HNSCC). Methods: This retrospective study enrolled patients with resectable HNSCC who underwent neoadjuvant immunochemotherapy at Sun Yat-sen University Cancer Center from June 1, 2019 to December 31, 2021. Binary logistic regression was used to analyze the correlation between clinical characteristics, inflammatory markers and MPR, and a nomogram model was constructed. The calibration curve and decision curve analysis were used to verify the predictive ability and accuracy of the nomogram model. Results: A total of 173 patients were included in the study, with 141 males and 32 females, aged from 22 to 83 years. After pathological assessment, the patients were divided into two groups: MPR group (108 cases) and non MPR group (65 cases). Logistics regression analysis indicated that the patients with HPV+oropharyngeal cancer, partial response or complete response by imaging assessment, low pre-treatment platelet/lymphocyte ratio, low pre-treatment C reactive protein/albumin ratio and lower pre-and post-treatment C reactive protein/albumin ratio difference were more likely to have MPR (all P<0.05). Nomogram model was constructed based on the above factors, with a C-index of 0.826 (95%CI: 0.760-0.892), and the calibration curve and decision curve analysis confirmed the prediction accuracy of the model. Conclusion: This study shows that many factors are related to MPR of patients with resectable HNSCC receiving neoadjuvant immunochemotherapy and the constructed nomogram model helps to develop personalized treatment strategies for the patients.
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