前面我们说到文章 Oncotarget. 2016 Mar 使用pyclone计算的克隆数量来代表肿瘤异质性,发现肿瘤内部异质性在不同癌症里面都显著影响生存。
但是今天要分享的文章Breast Cancer Research and Treatment February 2017 , 题目是:Clinical and molecular relevance of mutant-allele tumor heterogeneity in breast cancer 使用了另外一个肿瘤异质性量化指标,就是MATH.
First, imperfections in clinical data, especially in survival data held us back from further investigating the potential clinical value of MATH in breast cancer.
Second, while MATH provided a more quantifiable estimation of ITH and is less affected by the limitation of somatic mutation number and sequencing depth in TCGA breast cancer cohort comparing with clustering based strategies like PyClone and EXPAND, it introduced another drawback that the ITH represented by the MATH value might be confounded by the load of SCNA, a phenomenon that cannot be ignored, although the fraction of the genome altered was adjusted in calculations involving SCNAs.