Department of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin, China.
Cancer Control. 2023 Jan-Dec;30:10732748231202466. doi: 10.1177/10732748231202466.
Tumor markers (TMs) are important for the prognosis of gastric cancer (GC). However, the prognostic importance of the tumor marker index (TMI) based on GC-specific TMs for advanced gastric cancer (AGC) still needs to be further explored.
We retrospectively examined patients who underwent radical gastric cancer surgery between February 2014 and June 2016 at the Department of Gastroenterological Surgery, Affiliated Cancer Hospital, Harbin Medical University. The patients were divided into training and validation groups. TMI was determined as the geometric mean of the standard cancer antigen 19-9 (CA19-9) and carcinoembryonic antigen (CEA) levels. Patient overall survival was assessed using the Kaplan-Meier method. Independent prognosis-associated risk factors were identified using Cox hazard regression models. A nomogram model incorporating TMI and clinicopathological factors was developed, and its performance was evaluated using a decision curve analysis, concordance index, and calibration plots.
In the TMI training cohort, the cutoff value was set at .439, categorizing patients into TMI-High and TMI-Low groups. The 5-year survival rate in the TMI-Low group significantly surpassed that in the TMI-High group (78.2% vs 58.1% and 49.7 vs 41.6, < .001). TMI emerged as an independent prognostic factor. The nomogram accurately predicted patient prognosis by using TMI and clinicopathological characteristics. Validation of the TMI in the independent cohort yielded satisfactory results.
The TMI constructed based on specific TMs associated with gastric cancer can offer a precise prognostic prediction for patients.
肿瘤标志物(TMs)对胃癌(GC)的预后很重要。然而,基于 GC 特异性 TMs 的肿瘤标志物指数(TMI)对晚期胃癌(AGC)的预后重要性仍需进一步探讨。
我们回顾性分析了 2014 年 2 月至 2016 年 6 月在哈尔滨医科大学附属肿瘤医院胃肠外科接受根治性胃癌手术的患者。患者分为训练组和验证组。TMI 被定义为标准癌抗原 19-9(CA19-9)和癌胚抗原(CEA)水平的几何平均值。采用 Kaplan-Meier 法评估患者总生存情况。采用 Cox 风险回归模型确定独立的预后相关危险因素。建立了一个包含 TMI 和临床病理因素的列线图模型,并通过决策曲线分析、一致性指数和校准图评估其性能。
在 TMI 训练队列中,将截断值设定为.439,将患者分为 TMI-高和 TMI-低组。TMI-低组的 5 年生存率明显高于 TMI-高组(78.2%比 58.1%和 49.7%比 41.6%,<.001)。TMI 是一个独立的预后因素。列线图通过使用 TMI 和临床病理特征准确预测患者预后。在独立队列中验证 TMI 也取得了满意的结果。
基于与胃癌相关的特异性 TMs 构建的 TMI 可以为患者提供精确的预后预测。