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

作者信息

Cejalvo Juan M, Martínez de Dueñas Eduardo, Galván Patricia, García-Recio Susana, Burgués Gasión Octavio, Paré Laia, Antolín Silvia, Martinello Rosella, Blancas Isabel, Adamo Barbara, Guerrero-Zotano Ángel, Muñoz Montserrat, Nucíforo Paolo, Vidal María, Pérez Ramón M, Chacón López-Muniz José I, Caballero Rosalía, Peg Vicente, Carrasco Eva, Rojo Federico, Perou Charles M, Cortés Javier, Adamo Vincenzo, Albanell Joan, Gomis Roger R, Lluch Ana, Prat Aleix

机构信息

Translational Genomics and Targeted Therapeutics in Solid Tumors, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.

Oncology Program, Institute for Research in Biomedicine (IRB Barcelona), Barcelona, Spain.

出版信息

Cancer Res. 2017 May 1;77(9):2213-2221. doi: 10.1158/0008-5472.CAN-16-2717. Epub 2017 Mar 1.


DOI:10.1158/0008-5472.CAN-16-2717
PMID:28249905
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5822682/
Abstract

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 χ 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. .

摘要

相似文献

[1]
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[6]
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本文引用的文献

[1]
Gene Expression Profiling of Breast Cancer Brain Metastasis.

Sci Rep. 2016-6-24

[2]
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JAMA Oncol. 2016-10-1

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J Natl Cancer Inst. 2014-8-12

[10]
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Mol Cancer Ther. 2014-3-7

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