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中华肝脏外科手术学电子杂志 ›› 2023, Vol. 12 ›› Issue (02) : 173 -178. doi: 10.3877/cma.j.issn.2095-3232.2023.02.010

所属专题: 临床研究

临床研究

胆囊癌临床分型的合理性及其与预后关系——单中心486例分析
付佳禄1, 张景玮2, 金哲川3, 张东3, 耿智敏3,()   
  1. 1. 710061 西安交通大学第一附属医院肝胆外科;710004 西安交通大学第二附属医院小儿外科
    2. 710072 西安,西北工业大学机电学院
    3. 710061 西安交通大学第一附属医院肝胆外科
  • 收稿日期:2022-11-23 出版日期:2023-03-28
  • 通信作者: 耿智敏
  • 基金资助:
    国家自然科学基金(62076194); 陕西省重点研发计划(2021-SF-016,2022SF-606); 西安交通大学第一附属医院临床研究基金(XJTU1AF-CRF-2018-022)

Rationality of clinical classification of gallbladder carcinoma and its relationship with clinical prognosis: a single-center analysis of 486 cases

Jialu Fu1, Jingwei Zhang2, Zhechuan Jin3, Dong Zhang3, Zhimin Geng3,()   

  1. 1. Department of Hepatobiliary Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China; Department of Pediatric Surgery, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
    2. School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China
    3. Department of Hepatobiliary Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710061, China
  • Received:2022-11-23 Published:2023-03-28
  • Corresponding author: Zhimin Geng
引用本文:

付佳禄, 张景玮, 金哲川, 张东, 耿智敏. 胆囊癌临床分型的合理性及其与预后关系——单中心486例分析[J]. 中华肝脏外科手术学电子杂志, 2023, 12(02): 173-178.

Jialu Fu, Jingwei Zhang, Zhechuan Jin, Dong Zhang, Zhimin Geng. Rationality of clinical classification of gallbladder carcinoma and its relationship with clinical prognosis: a single-center analysis of 486 cases[J]. Chinese Journal of Hepatic Surgery(Electronic Edition), 2023, 12(02): 173-178.

目的

探讨胆囊癌临床分型的合理性及其与预后的关系。

方法

回顾性分析2011年1月1日至2020年12月31日在西安交通大学第一附属医院行根治性切除术的486例胆囊癌患者临床资料。患者均签署知情同意书,符合医学伦理学规定。其中男164例,女322例;年龄30~88岁,中位年龄63岁。胆囊癌临床分型:腹腔型234例,肝脏型138例,肝门型49例,混合型65例。临床分型与临床病理学参数的关系分析采用秩和检验和χ2检验;临床分型与预后的关系分析采用Kaplan-Meier法和Log-rank检验。建立胆囊癌树增强朴素贝叶斯(TAN)网络生存预测模型,采用ROC曲线下面积(AUC)评估该模型的预测能力。

结果

胆囊癌患者的临床分型与患者的年龄、术前TB、CEA、CA19-9、CA125(H=20.45,56.90,24.10,55.62,31.19;P<0.05)以及病理分型、组织学分化、血管侵犯、神经浸润、T分期、N分期(χ2=11.50,15.44,119.69,38.95,255.57,25.34;P<0.05)有关。腹腔型、肝脏型、肝门型、混合型胆囊癌患者的中位生存时间分别为44.7、18.5、17.0、10.0个月,临床分型与预后明显相关(χ2=71.14,P<0.05)。TAN网络生存预测模型显示,胆囊癌临床分型和T分期、周围组织器官侵犯、CA19-9及TB相关。ROC曲线分析显示,该模型对胆囊癌患者术后1、2、3、5年生存预测的AUC分别为0.83、0.78、0.70和0.69,准确度分别为0.76、0.66、0.73和0.84。

结论

胆囊癌临床分型与患者临床病理特征及预后有关,基于临床分型建立的TAN网络生存预测模型能有效预测预后,本中心数据验证了该临床分型的合理性。

Objective

To explore the rationality of clinical classification of gallbladder carcinoma and its relationship with clinical prognosis.

Methods

Clinical data of 486 patients with gallbladder carcinoma who underwent radical resection in the First Affiliated Hospital of Xi'an Jiaotong University from January 1, 2011 to December 31, 2020 were retrospectively analyzed. The informed consents of all patients were obtained and the local ethical committee approval was received. Among them, 164 patients were male and 322 female, aged from 30 to 88 years, with a median age of 63 years. Clinical classification of gallbladder carcinoma: 234 cases were classified as abdominal type, 138 as hepatic type, 49 as hilar type and 65 as mixed type. The relationship between clinical classification and clinicopathological parameters was analyzed by rank-sum test and Chi-square test. The relationship between clinical classification and prognosis was assessed by Kaplan-Meier method and Log-rank test. The Tree-Augmented Naive (TAN) Bayesian network model was established for the survival prediction of gallbladder carcinoma, and the prediction efficiency of this model was assessed by the area under ROC curve (AUC).

Results

Clinical classification of gallbladder carcinoma patients was associated with patients' age, preoperative TB, CEA, CA19-9 and CA125 levels (H=20.45, 56.90, 24.10, 55.62, 31.19; P<0.05) and the pathological classification, histological differentiation, vascular invasion, nerve infiltration, T stage and N stage (χ2=11.50, 15.44, 119.69, 38.95, 255.57, 25.34; P<0.05). The median survival of patients with abdominal, hepatic, hilar and mixed type gallbladder carcinoma was 44.7, 18.5, 17.0 and 10.0 months, respectively. Clinical classification was significantly related with clinical prognosis (χ2=71.14, P<0.05). TAN network survival prediction model showed that clinical classification of gallbladder carcinoma was associated with T stage, invasion of surrounding tissues and organs, CA19-9 and TB levels. ROC curve analysis revealed that the AUC of this model for predicting the 1-, 2-, 3-, 5-year survival of gallbladder carcinoma patients was 0.83, 0.78, 0.70, 0.69, and the accuracy was 0.76, 0.66, 0.73, 0.84, respectively.

Conclusions

Clinical classification of gallbladder carcinoma is correlated with the clinicopathological features and clinical prognosis of patients. TAN network survival prediction model based on clinical classification can effectively predict the prognosis. The data from our center can validate the rationality of this clinical classification.

表1 胆囊癌患者临床分型与临床病理参数的关系
参数 腹腔型 肝脏型 肝门型 混合型 统计值 P
年龄[岁,MQR)] 63.0(14.0) 65.5(12.0) 63.0(12.0) 59.0(15.0) H=20.45 <0.05
性别(例,男/女) 75/159 52/86 16/33 21/44 χ2=1.34 >0.05
BMI(kg/m2±s 23±3 23±4 22±3 23±3 F=0.87 >0.05
术前TB [μmol/L,MQR)] 11.6(6.7) 11.9(7.9) 37.0(165.4) 18.1(90.9) H=56.90 <0.05
CEA [μg/L,MQR)] 2.2(1.6) 2.5(4.4) 2.3(3.2) 3.7(5.5) H=24.10 <0.05
CA19-9 [kU/L,MQR)] 15(22) 22(57) 86(316) 99(405) H=55.62 <0.05
CA125 [kU/L,MQR)] 15(19) 23(38) 21(24) 35(53) H=31.19 <0.05
病理分型[例(%)] χ2=11.50 <0.05
腺癌 193(83.2) 95(69.3) 42(85.7) 50(76.9)
非腺癌 39(16.8) 42(30.7) 7(14.3) 15(23.1)
组织学分化[例(%)] χ2=15.44 <0.05
低分化 82(36.3) 70(52.2) 25(53.2) 33(50.8)
中分化 120(53.1) 51(38.1) 20(42.6) 30(46.2)
高分化 24(10.6) 13(9.7) 2(4.3) 2(3.1)
血管侵犯[例(%)] 0(0) 0(0) 7(14.3) 22(33.9) χ2=119.69 <0.05
神经浸润[例(%)] 14(6.0) 11(8.0) 13(26.5) 19(29.2) χ2=38.95 <0.05
T分期[例(%)] χ2=255.57 <0.05
T2 18(7.7) 13(9.4) 1(2.0) 1(1.5)
T3 216(92.3) 124(89.9) 40(81.6) 21(32.3)
T4 0(0) 1(0.7) 8(16.3) 43(66.2)
N分期[例(%)] χ2=25.34 <0.05
N0 171(73.1) 73(52.9) 29(59.2) 31(47.7)
N1 44(18.8) 44(31.9) 16(32.7) 21(32.3)
N2 19(8.1) 21(15.2) 4(8.2) 13(20.0)
图1 不同临床分型胆囊癌患者的Kaplan-Meier生存曲线
表2 不同临床分型胆囊癌患者手术方式与预后的关系
图2 胆囊癌树增强朴素贝叶斯网络生存预测模型
图3 树增强朴素贝叶斯网络生存模型预测胆囊癌患者术后生存的ROC曲线注:a、b、c、d分别术后生存1、2、3、5年ROC曲线,AUC为曲线下面积
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