Longitudinal analysis of peripheral blood immune status and prognosis dynamic prediction for advanced colon cancer with first-line chemotherapy

一线化疗治疗晚期结肠癌患者外周血免疫状态及预后动态预测的纵向分析

阅读:1

Abstract

BACKGROUND: The prognostic evaluation of advanced CRC patients places increased importance on longitudinal peripheral blood immune status. This study aimed to identify prognosis associated longitudinal immune markers and construct dynamic prognostic models for advanced CRC patients with first-line chemotherapy. METHODS: Metastatic CRC patients treated with standard first-line palliative chemotherapy were retrospectively collected at Shanghai General Hospital from May 2013 to May 2020. Lymphocyte subsets, inflammatory indices, and tumor markers in peripheral blood were repeatedly assessed before each chemotherapy cycle. Joint models were used to identify significant longitudinal prognostic markers. A dynamic prognostic model was established using random forests for time-dependent predictors, and internally validated using tenfold cross-validation. RESULTS: Increased levels of CRP, CEA, CA199, and IL-6, as well as the CD4 + CD29 + cell proportion and the CD4 + CD45RO + /CD4 + ratio were identified as significant risk factors for overall survival (OS) in metastatic CRC patients. Conversely, the increased levels of CD3-CD19 + cell proportion and the CD4 + CD45RA + /CD4 + ratio were identified as favorable factors for OS. A dynamic prognostic model demonstrated good discriminative ability, with AUC values of 0.827, 0.787, 0.726, and 0.693 for 2-, 3-, 4-, and 5-year predictions, respectively. A high ratio of CD4 + CD45RA + /CD4 + before the third to fourth chemotherapy cycle was associated with significantly better OS. Normal CRP and IL-6 levels in the early phase of first-line chemotherapy indicated a good prognosis. CONCLUSION: This study highlights the prognostic significance of measuring longitudinal immune status in advanced CRC patients and develops an internally validated dynamic prediction model. External validation is needed before clinical implementation.

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。