Garcia-Anguita Alicia, Kakourou Artemisia, Tsilidis Konstantinos K
Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Stavros Niarchos Av., University Campus, Ioannina, Greece.
Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Stavros Niarchos Av., University Campus, Ioannina, Greece ; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK.
Curr Colorectal Cancer Rep. 2015;11(5):250-258. doi: 10.1007/s11888-015-0282-5.
A substantial number of prospective epidemiological studies have been conducted to investigate the association between biomarkers of inflammation and immune function and risk of colorectal cancer. Although pre-diagnostic concentrations of these biomarkers, especially C-reactive protein, have been associated with a higher risk of colorectal cancer in some studies, this association does not seem to have a robust support without hints of bias. Future prospective studies should evaluate multiple inflammatory biomarkers with longitudinal measures over the follow-up taking advantage of new multiplex cytokine quantification arrays and use more sophisticated joint or biomarker pattern statistical approaches to capture the complex and dynamic interplay between biomarkers and risk of colorectal cancer. Large collaborative consortia and Mendelian randomization studies should be encouraged to diminish the threat of biases and improve the reliability of this literature.
已经开展了大量前瞻性流行病学研究,以调查炎症和免疫功能生物标志物与结直肠癌风险之间的关联。尽管在一些研究中,这些生物标志物(尤其是C反应蛋白)的诊断前浓度与较高的结直肠癌风险相关,但在没有偏倚迹象的情况下,这种关联似乎缺乏有力支持。未来的前瞻性研究应利用新的多重细胞因子定量阵列,通过随访期间的纵向测量来评估多种炎症生物标志物,并使用更复杂的联合或生物标志物模式统计方法,以捕捉生物标志物与结直肠癌风险之间复杂而动态的相互作用。应鼓励大型协作联盟和孟德尔随机化研究,以减少偏倚的威胁并提高该文献的可靠性。