Liu Yang, Hu Zhenjun, DeLisi Charles
Bioinformatics Graduate Program and Department of Biomedical Engineering, Boston University, Boston, Massachusetts.
Mol Cancer Ther. 2016 Jan;15(1):184-9. doi: 10.1158/1535-7163.MCT-15-0601. Epub 2015 Dec 1.
Adjuvant therapy following breast cancer surgery generally consists of either a course of chemotherapy, if the cancer lacks hormone receptors, or a course of hormonal therapy, otherwise. Here, we report a correlation between adjuvant strategy and mutated pathway patterns. In particular, we find that for breast cancer patients, pathways enriched in nonsynonymous mutations in the chemotherapy group are distinct from those of the hormonal therapy group. We apply a recently developed method that identifies collaborative pathway groups for hormone and chemotherapy patients. A collaborative group of pathways is one in which each member is altered in the same-generally large-number of samples. In particular, we find the following: (i) a chemotherapy group consisting of three pathways and a hormone therapy group consisting of 20, the members of the two groups being mutually exclusive; (ii) each group is highly enriched in breast cancer drivers; and (iii) the pathway groups are correlates of subtype-based therapeutic recommendations. These results suggest that patient profiling using these pathway groups can potentially enable the development of personalized treatment plans that may be more accurate and specific than those currently available.
如果癌症缺乏激素受体,则进行一个疗程的化疗;否则,进行一个疗程的激素治疗。在此,我们报告辅助治疗策略与突变通路模式之间的相关性。具体而言,我们发现对于乳腺癌患者,化疗组中富含非同义突变的通路与激素治疗组的不同。我们应用一种最近开发的方法来识别激素治疗和化疗患者的协同通路组。协同通路组是指其中每个成员在相同数量(通常是大量)的样本中发生改变的组。具体而言,我们发现以下几点:(i)一个由三条通路组成的化疗组和一个由20条通路组成的激素治疗组,两组成员相互排斥;(ii)每组在乳腺癌驱动因素中高度富集;(iii)通路组与基于亚型的治疗建议相关。这些结果表明,使用这些通路组对患者进行分析有可能制定出比目前可用的治疗方案更准确、更具体的个性化治疗计划。