Carcinoembryonic antigen trajectory predicts pathological complete response in advanced gastric cancer after neoadjuvant chemotherapy.

IF 3.5 3区 医学 Q2 ONCOLOGY Frontiers in Oncology Pub Date : 2025-02-10 eCollection Date: 2025-01-01 DOI:10.3389/fonc.2025.1525324
Yonghe Chen, Dan Liu, Kaikai Wei, Yi Lin, Zhong Wang, Qian Sun, Huashe Wang, Junsheng Peng, Lei Lian
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Abstract

Aims: This study aims to develop a simple, clinically applicable classification system to predict pCR based on carcinoembryonic antigen (CEA) trajectory during NAC.

Methods: This study included 366 AGC patients who received NAC followed by radical gastrectomy. CEA levels were measured before, during, and after NAC, with changes classified into three trajectory types: Type I (>=80% decline), Type II (>=40% but <80% decline), and Type III (<40% decline or increase). We analyzed associations between these CEA trajectories, pCR, lymph node remission, and survival.

Results: pCR was achieved in 10.4% (38/366) of patients. pCR rates were significantly higher in Type I (41%) and Type II (15.8%) trajectories compared to Type III (6.7%). Lymph node remission also correlated with CEA trajectories, with Type I having the highest proportion of ypN0 (79.2%). Multivariate analysis identified CEA trajectory subtypes and tumor differentiation as independent predictors of pCR. This classification system proved robust across subgroups. Although no significant differences in overall survival were observed between subtypes, higher initial CEA levels were associated with worse survival.

Conclusion: The trajectory of CEA change during NAC is a promising predictor of pCR in AGC. This simple and accessible classification system may facilitate personalized surgical strategies for patients with AGC.

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癌胚抗原轨迹预测晚期胃癌新辅助化疗后病理完全缓解。
目的:本研究旨在建立一种简单、临床适用的基于癌胚抗原(CEA)轨迹的pCR预测分类系统。方法:366例AGC患者行NAC术后根治性胃切除术。在NAC之前,期间和之后测量CEA水平,其变化分为三种轨迹类型:I型(>=80%下降),II型(>=40%),但结果:10.4%(38/366)的患者实现了pCR。与III型(6.7%)相比,I型(41%)和II型(15.8%)轨迹的pCR率显著更高。淋巴结缓解也与CEA轨迹相关,其中I型患者的ypN0比例最高(79.2%)。多变量分析发现CEA轨迹亚型和肿瘤分化是pCR的独立预测因子。这个分类系统被证明在各个子组中都是健壮的。虽然不同亚型之间的总生存率没有显著差异,但较高的初始CEA水平与较差的生存率相关。结论:NAC期间CEA的变化轨迹可作为AGC的pCR预测指标。这种简单易懂的分类系统可以为AGC患者提供个性化的手术策略。
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来源期刊
Frontiers in Oncology
Frontiers in Oncology Biochemistry, Genetics and Molecular Biology-Cancer Research
CiteScore
6.20
自引率
10.60%
发文量
6641
审稿时长
14 weeks
期刊介绍: Cancer Imaging and Diagnosis is dedicated to the publication of results from clinical and research studies applied to cancer diagnosis and treatment. The section aims to publish studies from the entire field of cancer imaging: results from routine use of clinical imaging in both radiology and nuclear medicine, results from clinical trials, experimental molecular imaging in humans and small animals, research on new contrast agents in CT, MRI, ultrasound, publication of new technical applications and processing algorithms to improve the standardization of quantitative imaging and image guided interventions for the diagnosis and treatment of cancer.
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