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胃癌预后中血管血栓与临床病理因素分析:一项回顾性队列研究

Analysis of vascular thrombus and clinicopathological factors in prognosis of gastric cancer: A retrospective cohort study.

作者信息

Chen Guo-Yue, Ren Ping, Gao Zhen, Yang Hao-Ming, Jiao Yan

机构信息

Department of Radiology, Jinan Central Hospital, Jinan 250013, Shandong Province, China.

Department of Gastrointestinal Surgery, Jiangsu Provincial People's Hospital, Nanjing 210029, Jiangsu Province, China.

出版信息

World J Gastrointest Oncol. 2024 Aug 15;16(8):3436-3444. doi: 10.4251/wjgo.v16.i8.3436.

DOI:10.4251/wjgo.v16.i8.3436
PMID:39171182
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11334030/
Abstract

BACKGROUND

Gastric cancer (GC) is one of the most common malignant tumors in the world, and its prognosis is closely related to many factors. In recent years, the incidence of vascular thrombosis in patients with GC has gradually attracted increasing attention, and studies have shown that it may have a significant impact on the survival rate and prognosis of patients. However, the specific mechanism underlying the association between vascular thrombosis and the prognosis of patients with GC remains unclear.

AIM

To analyze the relationships between vascular cancer support and other clinicopathological factors and their influence on the prognosis of patients with GC.

METHODS

This study retrospectively analyzed the clinicopathological data of 621 patients with GC and divided them into a positive group and a negative group according to the presence or absence of a vascular thrombus. The difference in the 5-year cumulative survival rate between the two groups was compared, and the relationships between vascular cancer thrombus and other clinicopathological factors and their influence on the prognosis of patients with GC were analyzed.

RESULTS

Among 621 patients with GC, the incidence of vascular thrombi was 31.7% (197 patients). Binary logistic regression analysis revealed that the degree of tumor differentiation, depth of invasion, and extent of lymph node metastasis were independent influencing factors for the occurrence of vascular thrombi in GC patients ( < 0.01). The trend of the test showed that the degree of differentiation, depth of invasion, and extent of lymph node metastasis were linearly correlated with the percentage of vascular thrombi in GC patients ( < 0.01), and the correlation between lymph node metastasis and vascular thrombi was more significant ( = 0.387). Univariate analysis revealed that the 5-year cumulative survival rate of the positive group was significantly lower than that of the negative group (46.7% 73.3%, < 0.01). Multivariate analysis revealed that age, tumor diameter, TNM stage, and vascular thrombus were independent risk factors for the prognosis of GC patients (all < 0.05). Further stratified analysis revealed that the 5-year cumulative survival rate of stage III GC patients in the thrombolase-positive group was significantly lower than that in the thrombolase-negative group (36.1% 51.4%; < 0.05).

CONCLUSION

Vascular cancer status is an independent risk factor affecting the prognosis of patients with GC. The combination of vascular cancer suppositories and TNM staging can better judge the prognosis of patients with GC and guide more reasonable treatment.

摘要

背景

胃癌(GC)是世界上最常见的恶性肿瘤之一,其预后与许多因素密切相关。近年来,GC患者血管血栓形成的发生率逐渐引起越来越多的关注,研究表明,它可能对患者的生存率和预后产生重大影响。然而,血管血栓形成与GC患者预后之间关联的具体机制仍不清楚。

目的

分析血管癌栓与其他临床病理因素之间的关系及其对GC患者预后的影响。

方法

本研究回顾性分析了621例GC患者的临床病理资料,并根据是否存在血管血栓将其分为阳性组和阴性组。比较两组5年累积生存率的差异,分析血管癌栓与其他临床病理因素之间的关系及其对GC患者预后的影响。

结果

在621例GC患者中,血管血栓的发生率为31.7%(197例)。二元logistic回归分析显示,肿瘤分化程度、浸润深度和淋巴结转移范围是GC患者血管血栓形成的独立影响因素(<0.01)。检验趋势显示,分化程度、浸润深度和淋巴结转移范围与GC患者血管血栓百分比呈线性相关(<0.01),且淋巴结转移与血管血栓之间的相关性更显著(=0.387)。单因素分析显示阳性组5年累积生存率显著低于阴性组(46.7%对73.3%,<0.01)。多因素分析显示,年龄﹑肿瘤直径﹑TNM分期和血管血栓是GC患者预后的独立危险因素(均<0.05)。进一步分层分析显示,III期GC患者中溶栓阳性组的5年累积生存率显著低于溶栓阴性组(36.1%对51.4%;<0.05)。

结论

血管癌栓状态是影响GC患者预后的独立危险因素。血管癌栓与TNM分期相结合可以更好地判断GC患者的预后并指导更合理的治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2db3/11334030/b123d942c50e/WJGO-16-3436-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2db3/11334030/d2bd9732a819/WJGO-16-3436-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2db3/11334030/b123d942c50e/WJGO-16-3436-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2db3/11334030/d2bd9732a819/WJGO-16-3436-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2db3/11334030/b123d942c50e/WJGO-16-3436-g002.jpg

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