The Genomic Landscape of Lobular Breast Cancer
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 provi...
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doaj-4ccf07bfb294486ab36f66e213eabb372021-04-18T23:01:36ZengMDPI AGCancers2072-66942021-04-01131950195010.3390/cancers13081950The Genomic Landscape of Lobular Breast CancerAmy E. McCart Reed0Samuel Foong1Jamie R. Kutasovic2Katia Nones3Nicola Waddell4Sunil R. Lakhani5Peter T. Simpson6Centre for Clinical Research, The University of Queensland, Herston, Brisbane, QLD 4029, AustraliaCentre for Clinical Research, The University of Queensland, Herston, Brisbane, QLD 4029, AustraliaCentre for Clinical Research, The University of Queensland, Herston, Brisbane, QLD 4029, AustraliaQIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4006, AustraliaQIMR Berghofer Medical Research Institute, Herston, Brisbane, QLD 4006, AustraliaCentre for Clinical Research, The University of Queensland, Herston, Brisbane, QLD 4029, AustraliaCentre for Clinical Research, The University of Queensland, Herston, Brisbane, QLD 4029, AustraliaInvasive 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 (<i>n</i> = 684), whole exome (<i>n</i> = 215) and whole genome sequencing data (<i>n</i> = 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 <i>CDH1</i> (E-cadherin) and <i>PIK3CA</i> 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 <i>TP53</i> 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.https://www.mdpi.com/2072-6694/13/8/1950invasive lobular carcinomabreast cancerlobulargenomicssequencingprecision oncology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Amy E. McCart Reed Samuel Foong Jamie R. Kutasovic Katia Nones Nicola Waddell Sunil R. Lakhani Peter T. Simpson |
spellingShingle |
Amy E. McCart Reed Samuel Foong Jamie R. Kutasovic Katia Nones Nicola Waddell Sunil R. Lakhani Peter T. Simpson The Genomic Landscape of Lobular Breast Cancer Cancers invasive lobular carcinoma breast cancer lobular genomics sequencing precision oncology |
author_facet |
Amy E. McCart Reed Samuel Foong Jamie R. Kutasovic Katia Nones Nicola Waddell Sunil R. Lakhani Peter T. Simpson |
author_sort |
Amy E. McCart Reed |
title |
The Genomic Landscape of Lobular Breast Cancer |
title_short |
The Genomic Landscape of Lobular Breast Cancer |
title_full |
The Genomic Landscape of Lobular Breast Cancer |
title_fullStr |
The Genomic Landscape of Lobular Breast Cancer |
title_full_unstemmed |
The Genomic Landscape of Lobular Breast Cancer |
title_sort |
genomic landscape of lobular breast cancer |
publisher |
MDPI AG |
series |
Cancers |
issn |
2072-6694 |
publishDate |
2021-04-01 |
description |
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 (<i>n</i> = 684), whole exome (<i>n</i> = 215) and whole genome sequencing data (<i>n</i> = 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 <i>CDH1</i> (E-cadherin) and <i>PIK3CA</i> 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 <i>TP53</i> 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. |
topic |
invasive lobular carcinoma breast cancer lobular genomics sequencing precision oncology |
url |
https://www.mdpi.com/2072-6694/13/8/1950 |
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