4.8 Article

Intrinsic Subtypes and Gene Expression Profiles in Primary and Metastatic Breast Cancer

Journal

CANCER RESEARCH
Volume 77, Issue 9, Pages 2213-2221

Publisher

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/0008-5472.CAN-16-2717

Keywords

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Categories

Funding

  1. Instituto de Salud Carlos III [PI13/ 01718]
  2. Susan Komen Foundation
  3. Banco Bilbao Vizcaya Argentaria (BBVA) Foundation
  4. Breast Cancer Research Foundation
  5. FEDER [(RETICC): RD12/0036/0051, RD12/0036/0070, RD12/0036/0076, CIBERONC-CB16/12/00241, CIBERONC-CB16/12/00481]
  6. PhD4MD, a Collaborative Research Training Programme for Medical Doctors (IDIBAPS, August Pi i Sunyer Institute for Biomedical Research) - Instituto de Salud Carlos III (ISCIII) [II14/00019]
  7. PhD4MD, a Collaborative Research Training Programme for Medical Doctors (IRB Barcelona, Institute for Research in Biomedicine) - Instituto de Salud Carlos III (ISCIII) [II14/00019]
  8. Spanish Ministry of Science and Innovation [SAF2013-46196]
  9. Generalitat de Catalunya AGAUR [535]
  10. ICREA Funding Source: Custom

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Biological changes that occur during metastatic progression of breast cancer are still incompletely characterized. In this study, we compared intrinsic molecular subtypes and gene expression in 123 paired primary and metastatic tissues from breast cancer patients. Intrinsic subtype was identified using a PAM50 classifier and chi(2) tests determined the differences in variable distribution. The rate of subtype conversion was 0% in basal-like tumors, 23.1% in HER2-enriched (HER2-E) tumors, 30.0% in luminal B tumors, and 55.3% in luminal A tumors. In 40.2% of cases, luminal A tumors converted to luminal B tumors, whereas in 14.3% of cases luminal A and B tumors converted to HER2-E tumors. We identified 47 genes that were expressed differentially in metastatic versus primary disease. Metastatic tumors were enriched for proliferation-related and migration-related genes and diminished for luminal-related genes. Expression of proliferation-related genes were better at predicting overall survival in metastatic disease (OSmet) when analyzed in metastatic tissue rather than primary tissue. In contrast, a basal-like gene expression signature was better at predicting OSmet in primary disease compared with metastatic tissue. We observed correlations between time to tumor relapse and the magnitude of changes of proliferation, luminal B, or HER2-E signatures in metastatic versus primary disease. Although the intrinsic subtype was largely maintained during metastatic progression, luminal/HER2-negative tumors acquired a luminal B or HER2-E profile during metastatic progression, likely reflecting tumor evolution or acquisition of estrogen independence. Overall, our analysis revealed the value of stratifying gene expression by both cancer subtype and tissue type, providing clinicians more refined tools to evaluate prognosis and treatment. (C) 2017 AACR.

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