Reyes-Gibby Cielito C, Wu Xifeng, Spitz Margaret, Kurzrock Razelle, Fisch Michael, Bruera Eduardo, Shete Sanjay
Department of Epidemiology, Division of Cancer Prevention and Population Sciences, The University of Texas, MD Anderson Cancer Center, Houston, TX 77030-4009, USA.
Lancet Oncol. 2008 Aug;9(8):777-85. doi: 10.1016/S1470-2045(08)70197-9.
The Human Genome Project and HapMap have led to a better appreciation of the importance of common genetic variation in determining cancer risk, created potential for predicting response to therapy, and made possible the development of targeted prevention and therapeutic interventions. Advances in molecular epidemiology can be used to explore the role of genetic variation in modulating the risk for severe and persistent symptoms, such as pain, depression, and fatigue, in patients with cancer. The same genes that are implicated in cancer risk might also be involved in the modulation of therapeutic outcomes. For example, polymorphisms in several cytokine genes are potential markers for genetic susceptibility both for cancer risk and for cancer-related symptoms. These genetic polymorphisms are stable markers and easily and reliably assayed to explore the extent to which genetic variation might prove useful in identifying patients with cancer at high-risk of symptom development. Likewise, they could identify subgroups who might benefit most from symptom intervention, and contribute to developing personalized and more effective therapies for persistent symptoms.
人类基因组计划和国际人类基因组单体型图计划使人们更好地认识到常见基因变异在确定癌症风险中的重要性,为预测治疗反应创造了潜力,并使靶向预防和治疗干预措施的开发成为可能。分子流行病学的进展可用于探索基因变异在调节癌症患者出现严重和持续症状(如疼痛、抑郁和疲劳)风险中的作用。与癌症风险相关的相同基因也可能参与治疗结果的调节。例如,几种细胞因子基因的多态性是癌症风险和癌症相关症状遗传易感性的潜在标志物。这些基因多态性是稳定的标志物,易于且可靠地检测,以探索基因变异在识别有症状发展高风险的癌症患者中可能有用的程度。同样,它们可以识别出可能从症状干预中获益最大的亚组,并有助于开发针对持续症状的个性化和更有效的疗法。