Department of Preventative Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
Medical Research Center, Genomic Medicine Institute, Seoul National University College of Medicine, Seoul, South Korea.
Cancer Med. 2024 Mar;13(5):e7084. doi: 10.1002/cam4.7084.
Clinical diabetic traits have been reported to be associated with increased colorectal cancer (CRC) risk in observational studies. Using the Mendelian randomization (MR) analysis method, we examined the causal association between glycemic traits, such as fasting glucose (FG), fasting insulin (FI), and glycosylated hemoglobin A1c (HbA1c), and survival in a cohort of CRC patients.
We conducted a two-sample MR analysis among a cohort of patients with locally advanced CRC at Seoul National University Hospital. Single-nucleotide polymorphisms robustly associated (p < 5 × 10 ) with the three glycemic traits were obtained from the Meta-Analyses of Glucose and Insulin-related traits Consortium, Asian Genetic Epidemiology Network, and Korea Biobank Array. Three-year and 5-year overall survival (OS) and progression-free survival (PFS) were used as outcomes. Survival analysis was conducted using subgroup analysis by cancer stage and subsite in a multivariate Cox proportional hazards model adjusted for age and sex to examine whether glycemic traits affected survival.
A total of 509 patients were included in our final analysis. MR analysis showed that HbA1c levels were associated with poor 3-year OS (β = 4.20, p = 0.02). Sensitivity analyses did not show evidence of any violations of the MR assumptions. In the cancer subgroup analysis of the Cox proportional hazards model, pooled hazard ratios for FG were significantly associated with poor 3-year OS and PFS regardless of cancer stage. FI was not significantly associated with any 3-year survival endpoints. Among Stage III patients, three glycemic traits were significantly associated with both 5-year OS and PFS. Location-specific subgroup analysis showed a significant association between three glycemic traits and 5-year PFS in patients with left-sided colon cancer. FG was associated with poor 3-year survival for colon cancer but not rectal cancer.
Our results suggest that FG and HbA1c could be used to predict prognosis in CRC patients. Lifestyle and/or pharmacological interventions targeting glycemic traits could help improve survival for CRC patients.
观察性研究表明,临床糖尿病特征与结直肠癌(CRC)风险增加相关。我们使用孟德尔随机化(MR)分析方法,在一组 CRC 患者中检查了血糖特征(如空腹血糖(FG)、空腹胰岛素(FI)和糖化血红蛋白 A1c(HbA1c))与生存之间的因果关系。
我们在首尔国立大学医院的局部晚期 CRC 患者队列中进行了两样本 MR 分析。从代谢与胰岛素相关特征荟萃分析联盟、亚洲遗传流行病学网络和韩国生物银行阵列中获得与三种血糖特征(p < 5 × 10)稳健相关的单核苷酸多态性。使用多变量 Cox 比例风险模型进行生存分析,该模型按癌症分期和亚部位进行亚组分析,并调整年龄和性别,以检查血糖特征是否影响生存。
共有 509 名患者纳入最终分析。MR 分析表明,HbA1c 水平与 3 年总生存率(OS)差相关(β=4.20,p=0.02)。敏感性分析未显示出任何违背 MR 假设的证据。在 Cox 比例风险模型的癌症亚组分析中,FG 的合并危险比与 3 年 OS 和 PFS 差显著相关,无论癌症分期如何。FI 与任何 3 年生存终点均无显著关联。在 III 期患者中,三种血糖特征与 5 年 OS 和 PFS 均显著相关。位置特异性亚组分析显示,三种血糖特征与左半结肠癌患者的 5 年 PFS 显著相关。FG 与结肠癌的 3 年生存率差相关,但与直肠癌无关。
我们的结果表明,FG 和 HbA1c 可用于预测 CRC 患者的预后。针对血糖特征的生活方式和/或药物干预可能有助于改善 CRC 患者的生存。