血清肿瘤标志物结合肿瘤负荷评分在可切除结直肠癌肝转移中的预后判断价值

Prognostic value of tumor burden score combined with serum tumor markers inpatients with resectable colorectal liver metastasis after curative hepatectomy

  • 摘要:
    目的 探究肿瘤负荷评分(tumor burden score,TBS)结合血清肿瘤标志物在结直肠癌肝转移(colorectal liver metastasis,CRLM)根治切除术患者中的预后判断价值。
    方法 回顾性分析2012年1月至2023年12月于重庆医科大学附属第一医院行根治性肝切除术的199例CRLM患者临床病理资料。以血清肿瘤标志物和TBS两项指标建立预测模型,血清肿瘤标志物指标来自癌胚抗原(carcinoembryonic antigen,CEA)及糖类抗原19-9(carbohydrate antigen 19-9,CA19-9)水平之和—癌糖值,TBS指标来自术前影像学。以癌糖值和TBS两项指标将患者分为低危组(无高水平指标)、中危组(有一项高水平指标)、高危组(有两项高水平指标)。Kaplan-Meier生存分析比较分组预后及亚组分析,多因素Cox回归分析影响CRLM患者预后的独立因素,采用ROC曲线和C指数评价模型区分度。
    结果 中位随访时间43(38~54)个月。低危、中危、高危组中位生存时间(median overall survival, mOS)和5年总体生存率(overall survival,OS)分别为64个月、54个月、30个月和55%、38%、23%,P=0.0019;中位无疾病生存期(median disease-free survival, mDFS)和3年无疾病生存率(disease-free survival,DFS)分别为36个月、22个月、11个月和47%、35%、16%,P<0.001。多因素Cox回归分析显示癌糖值(HR=1.81,95%CI:1.09~3.01,P=0.021)、TBS(HR=1.42,95%CI:1.02~2.84,P=0.032)、转移灶双叶分布(HR=1.99,95%CI:1.25~3.16,P=0.004)和原发灶淋巴结侵犯(HR=1.51,95%CI:1.37~3.34,P=0.028)为影响CRLM患者术后远期预后独立危险因素。多因素Logistic回归分析显示,经校正后癌糖值(OR=2.44,95%CI:1.26~4.71,P=0.008)和TBS(OR=2.95,95%CI:1.50~5.78,P=0.002)均为CRLM患者术后复发独立危险因素。ROC曲线分析显示,与CEA或TBS单独指标相比,癌糖值结合TBS模型区分度更优(AUC:0.630,95%CI:0.552~0.707,P<0.05),C指数为0.627。
    结论 基于癌糖值和TBS建立的个体化风险预测模型在可切除转移性结直肠癌患者中预测效能良好,具有较可靠的区分度,可为临床医师判断CRLM患者预后提供新参考。

     

    Abstract:
    Objective To evaluate the prognostic value of tumor burden score (TBS) combined with serum tumor markers in patients with resectable colorectal liver metastasis (CRLM) after curative hepatectomy.
    Methods We retrospectively retrieved and analyzed clinicalpathological data of patients with CRLM who underwent curative hepatectomy between Jan 2012 to Dec 2023 in The First Affiliated Hospital of Chongqing Medical University. Serological tumor markers and TBS were utilized to generate prediction model, where the serological index was derived from the sum of carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) levels, and TBS was calculated from preoperative radiological images. The cutoff values were determined as the sum of CEA and CA19-9 levels and preoperative TBS. The patients were then categorized based on prediction parameters into low-risk (lacking any high-level index), medium-risk (with one high-level index) and high-risk (with two high-level indices) groups. Overall survival (OS) and disease-free survival (DFS) were compared using Kaplan-Meier curves, and multivariate Cox regression analysis was performed to determine possible prognostic risk factors. The receiver operating characteristic curve (ROC) and C-index were employed to assess the discriminatory power of the prediction model.
    Results Median follow-up time was 43(4–112) months. Kaplan–Meier survival analysis suggested that the median OS time and 5-year OS of low-, median-, and high-risk groups were 64, 54, and 30 months and 55%, 38%, and 23% respectively (P=0.0019). The median DFS time and 3-year DFS were 36, 22, and 11 months, and 47%, 35%, and 16% respectively (P<0.001). Multivariate Cox regression analysis revealed that independent prognostic risk factors for postoperative OS were the sum of CEA and CA19-9 level (hazard rstio HR=1.81, 95% confidence interval CI: 1.09-3.01, P=0.021), TBS (HR=1.42, 95%CI:1.02-2.84, P=0.032), bilobar metastasis (HR=1.99, 95%CI:1.25–3.16, P=0.004), and primary tumor nodal invasion (HR=1.51, 95%CI:1.37–3.34, P=0.028). Multivariate Logistic regression analysis showed that the sum of CEA and CA19-9 levels (odds ratio OR=2.44, 95%CI 1.26-4.71, P=0.008) and TBS (OR=2.95, 95%CI:1.50-5.78, P=0.002) associated significantly with postoperative recurrence. The ROC curve and C-index revealed that serum tumor markers combined with TBS (area under the curve=0.630, 95%CI: 0.552–0.707, P<0.05; C-index=0.627) were more effective in predicting the prognosis of patients with CRLM than either CEA or TBS alone.
    Conclusions The prediction model based on serum tumor markers combined with TBS demonstrated better efficacy than any single serological or radiological index and may provide new insights aiding individualized and accurate clinical decision-making for patients with CRLM.

     

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