McCart Reed Amy E, Foong Samuel, Kutasovic Jamie R, Nones Katia, Waddell Nicola, Lakhani Sunil R, Simpson Peter T
Centre for Clinical Research, The University of Queensland, Herston, Brisbane, QLD 4029, Australia.
Pathology Queensland, Royal Brisbane and Women's Hospital, Herston, Brisbane, QLD 4029, Australia.
Cancers (Basel). 2021 Apr 18;13(8):1950. doi: 10.3390/cancers13081950.
Invasive lobular carcinoma (ILC) is the second most common breast cancer histologic subtype, accounting for approximately 15% of all breast cancers. It is only recently that its unique biology has been assessed in high resolution. Here, we present a meta-analysis of ILC sequencing datasets, to provide a long-awaited ILC-specific resource, and to confirm the prognostic value and strength of association between a number of clinico-pathology features and genomics in this special tumour type. We consider panel ( = 684), whole exome ( = 215) and whole genome sequencing data ( = 48), and review histology of The Cancer Genome Atlas cases to assign grades and determine whether the ILC is of classic type or a variant, such as pleomorphic, prior to performing statistical analyses. We demonstrate evidence of considerable genomic heterogeneity underlying a broadly homogeneous tumour type (typically grade 2, estrogen receptor (ER)-positive); with genomes exhibiting few somatic mutations or structural alterations, genomes with a hypermutator phenotype, and tumours with highly rearranged genomes. We show that while (E-cadherin) and mutations do not significantly impact survival, overall survival is significantly poorer for patients with a higher tumour mutation burden; this is also true for grade 3 tumours, and those carrying a somatic mutation (and these cases were more likely to be ER-negative). Taken together, we have compiled a meta-dataset of ILC with molecular profiling, and our analyses show that the genomic landscape significantly impacts the tumour's variable natural history and overall survival of ILC patients.
浸润性小叶癌(ILC)是第二常见的乳腺癌组织学亚型,约占所有乳腺癌的15%。直到最近,其独特的生物学特性才得到高分辨率评估。在此,我们对ILC测序数据集进行荟萃分析,以提供期待已久的ILC特异性资源,并确认在这种特殊肿瘤类型中一些临床病理特征与基因组学之间的预后价值和关联强度。我们考虑了基因panel(=684)、全外显子组(=215)和全基因组测序数据(=48),并在进行统计分析之前,回顾了癌症基因组图谱病例的组织学情况,以进行分级并确定ILC是经典型还是变异型,如多形性。我们证明,在一种广泛同质的肿瘤类型(通常为2级、雌激素受体(ER)阳性)背后存在相当大的基因组异质性;基因组表现出很少的体细胞突变或结构改变、具有高突变表型的基因组以及基因组高度重排的肿瘤。我们表明,虽然E-钙黏蛋白(E-cadherin)和PIK3CA突变对生存率没有显著影响,但肿瘤突变负担较高的患者总体生存率明显较差;3级肿瘤以及携带体细胞PIK3CA突变的患者也是如此(而且这些病例更可能是ER阴性)。综上所述,我们编制了一个具有分子谱分析的ILC荟萃数据集,我们的分析表明,基因组格局显著影响ILC患者肿瘤的可变自然史和总体生存率。