Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Predicting the evolution of metastatic disease in breast cancer: results from 50 years of autopsies

ABSTRACT: This is a genomic analysis of breast cancer metastasis using array based CGH and is part of a large study investigating the patterns and evolution of metastases from breast cancer using autopsy material accumulated over the last 50 years from a single institution. The samples used in the genomic profiling comprise the primary breast tumour and multiple matched metastases from each patient. The data demonstrate both the clonal nature of metastatic progression and the role of clonal evolution during progression. This study comprises six patients who died of metastatic breast cancer. For some patients the breast primary tumour and lymph node metastasis was obtained from previous surgical excision, otherwise material was obtained from a resulting autopsy. Each patient set of samples involves the primary breast tumour and multiple metastases, including from lung, liver, lymph node, adrenal gland, brain etc. DNA was extracted from formalin fixed paraffin embedded (FFPE) tissue blocks and analysed for DNA copy number alterations using an Agilent aCGH platform.

ORGANISM(S): Homo sapiens

SUBMITTER: Peter Simpson

PROVIDER: E-GEOD-46826 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Metastatic progression of breast cancer: insights from 50 years of autopsies.

Cummings Margaret C MC Simpson Peter T PT Reid Lynne E LE Jayanthan Janani J Skerman Joanna J Song Sarah S McCart Reed Amy E AE Kutasovic Jamie R JR Morey Adrienne L AL Marquart Louise L O'Rourke Peter P Lakhani Sunil R SR

The Journal of pathology 20140101 1

There remain no clear guidelines for the optimal management of patients with metastatic breast cancer. To better understand its natural history, we undertook a detailed examination of 197 autopsies performed on women who died of breast cancer. We reviewed clinical, treatment and pathological aspects of all cases and, additionally, pathological features and biomarker expression (ER, PgR, HER2, EGFR, p53, Ki67, c-Kit, CK AE1/AE3) were assessed in detail for the primary tumour and matched metastase ...[more]

PMID: 24122263

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Project description:Lymph-node (LN) metastases predict for high recurrence rates in breast cancer patients. Eradication of micro-metastatic tumor cells is the primary goal of adjuvant systemic treatment. Decisions regarding systemic treatment depend largely on primary tumor characteristics rather than on characteristics of their LN metastases. However, it remains unclear to what extent LN metastases, having already metastasized locally, resemble their primary breast tumors and as such will be eradicated by the systemic therapy chosen. In this study we investigated the genetic differences between primary breast cancers and their paired LN metastases using array comparative genomic hybridization analyses on a high resolution 720K Nimblegen platform. Thus far, no metastasis-specific genomic aberrations have been identified. We hypothesized that this is due to low-resolution platforms and lack of stratification on breast cancer subtypes (specifically, triple-negative (TN) versus luminal). Furthermore, we speculated that as TN tumours are known to be more genetically unstable, their LN metastases would show an increase in random copy number aberrations (CNAs). Therefore, we studied 10 primary TN breast tumourM-bM-^@M-^SLN pairs and 10 luminal pairs and found that all LN metastases clustered nearest to their matched tumour except for two. These two were explained by poor hybridization quality and, interestingly, the presence of two histological components in one tumour. We found no significantly altered CNAs between pairs in the whole group, nor when subdivided over subtypes; neither did we find a CNA increase in LN metastases compared to primary tumours within the TN subgroup, suggesting most CNAs are functional and not random. Our findings suggest a strong clonal relationship between primary breast tumours and its LN metastases and support the use of the primary tumor characteristics to guide adjuvant systemic chemotherapy in breast cancer patients, since primary tumors and their subsequent LN metastases seem remarkably similar, at least prior to treatment. The experiment contains 20 paired primary breast cancer samples with their lymph node metastases, analysed on a 720 whole genome CGH array. Additionally, for one sample its two distinct histological subpopulations were analysed on the same platform.

Project description:Lymph-node (LN) metastases predict for high recurrence rates in breast cancer patients. Eradication of micro-metastatic tumor cells is the primary goal of adjuvant systemic treatment. Decisions regarding systemic treatment depend largely on primary tumor characteristics rather than on characteristics of their LN metastases. However, it remains unclear to what extent LN metastases, having already metastasized locally, resemble their primary breast tumors and as such will be eradicated by the systemic therapy chosen. In this study we investigated the genetic differences between primary breast cancers and their paired LN metastases using array comparative genomic hybridization analyses on a high resolution 720K Nimblegen platform. Thus far, no metastasis-specific genomic aberrations have been identified. We hypothesized that this is due to low-resolution platforms and lack of stratification on breast cancer subtypes (specifically, triple-negative (TN) versus luminal). Furthermore, we speculated that as TN tumours are known to be more genetically unstable, their LN metastases would show an increase in random copy number aberrations (CNAs). Therefore, we studied 10 primary TN breast tumour–LN pairs and 10 luminal pairs and found that all LN metastases clustered nearest to their matched tumour except for two. These two were explained by poor hybridization quality and, interestingly, the presence of two histological components in one tumour. We found no significantly altered CNAs between pairs in the whole group, nor when subdivided over subtypes; neither did we find a CNA increase in LN metastases compared to primary tumours within the TN subgroup, suggesting most CNAs are functional and not random. Our findings suggest a strong clonal relationship between primary breast tumours and its LN metastases and support the use of the primary tumor characteristics to guide adjuvant systemic chemotherapy in breast cancer patients, since primary tumors and their subsequent LN metastases seem remarkably similar, at least prior to treatment. The experiment contains 27 paired primary breast cancer samples with their lymph node metastases, analysed on a 135K whole genome CGH array

Dataset Information

Predicting the evolution of metastatic disease in breast cancer: results from 50 years of autopsies

Publications

Metastatic progression of breast cancer: insights from 50 years of autopsies.

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