中医辨证论治对Ⅲ~Ⅳ期结直肠癌患者生存的影响与治疗获益的亚组识别

Traditional Chinese medicine syndrome differentiation and treatment in stage Ⅲ-Ⅳ colorectal cancer: a survival and subgroup identification study

  • 摘要:
    目的 探讨中医辨证论治对Ⅲ~Ⅳ期结直肠癌患者远期生存的影响,并探讨其对此类患者的疗效。
    方法 本研究采用回顾性队列研究设计纳入2015年1月—2019年12月于扬州市中医院就诊的201例Ⅲ~Ⅳ期结直肠癌患者。根据是否接受中医辨证论治,将患者分为对照组(未接受中医辨证论治, n=61)和治疗组(接受中医辨证论治, n=140)。根据中医辨证论治时间将治疗组分为治疗1组(1~<6个月, n=51)和治疗2组(≥6个月, n=89)。在倾向评分匹配队列和全队列中,分别采用Cox比例风险模型和逆概率加权分析中医辨证论治与生存结局的关联。通过临床分层分析和基于K-medoids共识聚类的无监督机器学习方法,识别中医治疗获益的潜在亚组。
    结果 全队列逆概率加权分析显示,治疗2组死亡风险降低(HR=0.29, 95%CI: 0.18~0.47, P<0.001)。将治疗2组(其中86例被匹配)与对照组进行倾向得分匹配,匹配后纳入中医治疗组与匹配后对照组,每组86例。在倾向得分匹配队列中,单变量Cox比例风险回归模型显示,与匹配后对照组相比,中医治疗组死亡概率降低(HR=0.69, 95%CI: 0.41~1.17, P=0.168)。校正结果显示,中医治疗组死亡概率也较匹配后对照组降低(HR=0.31, 95%CI: 0.16~0.60, P<0.001)。进一步的Cox比例风险模型表明,在倾向得分匹配队列中,中医治疗组3年与5年生存率分别为92.5%和72.4%, 优于匹配后对照组的73.5%和60.7%。倾向得分匹配队列结果显示,在中低Ki67表达患者中,中医辨证论治未能改善患者生存率(HR=0.57, 95%CI: 0.10~3.37, P=0.540); 在高Ki67患者中,中医辨证论治可显著降低死亡风险(HR=0.53, 95%CI: 0.29~0.96, P=0.037); 在病理分级为低分化患者中,中医辨证论治的死亡风险显著降低(HR=0.41, 95%CI: 0.24~0.70, P=0.001); 在病理分级为中高分化患者中,中医辨证论治可降低死亡风险,但差异无统计学意义(HR=0.52, 95%CI: 0.26~1.02, P=0.057)。经Bonferroni校正后,仅在病理分级为低分化的患者中,中医辨证论治对生存具有显著改善作用(校正后P=0.002)。使用无监督机器学习算法,将倾向得分匹配队列患者群体划分为Clsuter1(n=93)和Clsuter2 (n=79)2个亚组。经Bonferroni校正后,在Cluster1亚组中,中医辨证论治对患者生存具有显著改善作用(校正后P=0.023)。
    结论 中医辨证论治与Ⅲ~Ⅳ期结直肠癌患者的生存改善显著相关,且持续治疗6个月以上效果更优。低分化肿瘤或具备低炎症水平、无远处转移等特征的患者可能为优势治疗人群。

     

    Abstract:
    Objective To explore the long-term survival impact of traditional Chinese medicine (TCM) syndrome differentiation and treatment in patients with stage Ⅲ-Ⅳ colorectal cancer and its therapeutic efficacy for such patients.
    Methods This retrospective cohort study included 201 patients with stage Ⅲ-Ⅳ colorectal cancer who were treated at Yangzhou City Hospital of Traditional Chinese Medicine from January 2015 to December 2019. Based on whether they received TCM syndrome differentiation and treatment, the patients were divided into control group (not receiving TCM syndrome differentiation and treatment, n=61) and treatment group (receiving TCM syndrome differentiation andtreatment, n=140). According to the duration of TCM syndrome differentiation and treatment, the treatment group was further divided into treatment subgroup 1 (1- < 6 months, n=51) and treatment subgroup 2 (≥6 months, n=89). The associations between TCM syndrome differentiation and treatment and survival outcomes were analyzed using the Cox proportional hazards model and inverse probability weighting in both the propensity score-matched cohort and the full cohort. Potential subgroups benefiting from TCM treatment were identified through clinical stratified analysis and an unsupervised machine learning method based on K-medoids consensus clustering.
    Results Inverse probability weighting analysis of the full cohort showed a reduced risk of death in treatment subgroup 2 (HR=0.29, 95%CI, 0.18 to 0.47, P < 0.001). Treatment subgroup 2 (with 86 patients matched) was matched with the control group, resulting in 86 patients in each of the matched TCM treatment group and the matched control group. In the propensity score-matched cohort, the univariate Cox proportional hazards regression model showed a reduced probability of death in the TCM treatment group compared with the matched control group (HR=0.69, 95%CI, 0.41 to 1.17, P=0.168). After adjustment, the probability of death in the TCM treatment group wasalso lower than that in the matched control group (HR=0.31, 95%CI, 0.16 to 0.60, P < 0.001). Further Cox proportional hazards model analysis indicated that in the propensity score-matched cohort, the 3-year and 5-year survival rates in the TCM treatment group were 92.5% and 72.4%, respectively, which were better than those in the matched control group (73.5% and 60.7%, respectively). The propensity score-matched cohort results showed that in patients with low Ki67 expression, TCM syndrome differentiation and treatment did not improve survival (HR=0.57, 95%CI, 0.10 to 3.37, P=0.540); in patients with high Ki67 expression, TCM syndrome differentiation and treatment significantly reduced the risk of death (HR=0.53, 95%CI, 0.29 to 0.96, P=0.037); in patients with poorly differentiated pathology, TCM syndrome differentiation and treatment significantly reduced the risk of death (HR=0.41, 95%CI, 0.24 to 0.70, P=0.001); in patients with moderately to well-differentiated pathology, TCM syndrome differentiation and treatment reduced the risk of death, but the difference was not statistically significant (HR=0.52, 95%CI, 0.26 to 1.02, P=0.057). After Bonferroni correction, TCM syndrome differentiation and treatment significantly improved survival only in patients with poorly differentiated pathology (corrected P=0.002). Using an unsupervised machine learning algorithm, the patient population in the propensity score-matched cohort was divided into two subgroups: Cluster 1 (n=93) and Cluster 2 (n=79). After Bonferroni correction, TCM syndrome differentiation and treatment significantly improved survival in the Cluster 1 patient subgroup (corrected P=0.023).
    Conclusion TCM syndrome differentiation and treatment is significantly associated with improved survival in patients with stage Ⅲ-Ⅳ colorectal cancer, and continuous treatment for more than 6 months yields better results. Patients with poorly differentiated tumors or those with characteristics such as low inflammation levels and no distant metastasis may be the preferred treatment population.

     

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