Pankaj Joshi, Kumari Joshi Rakhi, Kim Wj, Lee Sang-Ah
Department of Preventive Medicine, Kangwon National University School of Medicine, Korea E-mail :
Asian Pac J Cancer Prev. 2015;16(9):3735-40. doi: 10.7314/apjcp.2015.16.9.3735.
Insulin-like growth factor peptides play important roles in regulating cell growth, cell differentiation, and apoptosis, and have been demonstrated to promote the development of colorectal cancer (CRC).
To examine the association of insulin-related biomarkers including insulin-like growth factor-1 (IGF-1), insulin-like growth factor binding protein-3 (IGFBP-3) and C-peptide with CRC risk and assess their relevance in predictive models.
The odds ratios of colorectal cancer for serum levels of IGF-1, IGFBP-3 and C-peptide were estimated using unconditional logistic regression models in 100 colorectal cancer cases and 100 control subjects. Areas under the receiving curve (AUC) and integrated discrimination improvement (IDI) statistics were used to assess the discriminatory potential of the models.
Serum levels of IGF-1 and IGFBP-3 were negatively associated with colorectal cancer risk (OR=0.07, 95%CI: 0.03-0.16, P for trend <.01, OR=0.06, 95%CI: 0.03-0.15, P for trend <.01 respectively) and serum C-peptide was positively associated with risk of colorectal cancer (OR=4.38, 95%CI: 2.13-9.06, P for trend <.01). Compared to the risk model, prediction for the risk of colorectal cancer had substantially improved when all selected biomarkers IGF-1, IGFBP-3 and inverse value of C-peptide were simultaneously included inthe reference model [P for AUC improvement was 0.02 and the combined IDI reached 0.166% (95 % CI; 0.114-0.219)].
The results provide evidence for an association of insulin-related biomarkers with colorectal cancer risk and point to consideration as candidate predictor markers.
胰岛素样生长因子肽在调节细胞生长、细胞分化和细胞凋亡中发挥重要作用,并且已被证明可促进结直肠癌(CRC)的发展。
研究包括胰岛素样生长因子-1(IGF-1)、胰岛素样生长因子结合蛋白-3(IGFBP-3)和C肽在内的胰岛素相关生物标志物与CRC风险的关联,并评估它们在预测模型中的相关性。
使用无条件逻辑回归模型估计100例结直肠癌病例和100例对照受试者血清中IGF-1、IGFBP-3和C肽水平的结直肠癌比值比。采用接受曲线下面积(AUC)和综合判别改善(IDI)统计量评估模型的判别潜力。
血清IGF-1和IGFBP-3水平与结直肠癌风险呈负相关(OR = 0.07,95%CI:0.03 - 0.16,趋势P <.01;OR = 0.06,95%CI:0.03 - 0.15,趋势P <.01),血清C肽与结直肠癌风险呈正相关(OR = 4.38,95%CI:2.13 - 9.06,趋势P <.01)。与风险模型相比,当将所有选定的生物标志物IGF-1、IGFBP-3和C肽的倒数同时纳入参考模型时,结直肠癌风险预测有显著改善[改善AUC的P值为0.02,联合IDI达到0.166%(95%CI;0.114 - 0.219)]。
结果为胰岛素相关生物标志物与结直肠癌风险的关联提供了证据,并表明可考虑将其作为候选预测标志物。