CTCs Expression Profiling for Advanced Breast Cancer Monitoring

Author:

Pereira-Veiga ThaisORCID,Martínez-Fernández Mónica,Abuin CarmenORCID,Piñeiro Roberto,Cebey Victor,Cueva Juan,Palacios Patricia,Blanco Cristina,Muinelo-Romay LauraORCID,Abalo Alicia,Costa ClotildeORCID,López-López Rafael

Abstract

The study of circulating tumor cells (CTCs) has a huge clinical interest in advance and metastatic breast cancer patients. However, many approaches are biased by the use of epithelial markers, which underestimate non-epithelial CTCs phenotypes. CTCs enumeration provides valuable prognostic information; however, molecular characterization could be the best option to monitor patients throughout the disease since it may provide more relevant clinical information to the physicians. In this work, we aimed at enumerating and performing a molecular characterization of CTCs from a cohort of 20 patients with metastatic breast cancer (MBC), monitoring the disease at different time points of the therapy, and at progression when it occurred. To this end, we used a CTC negative enrichment protocol that allowed us to recover a higher variety of CTCs phenotypes. With this strategy, we were able to obtain gene expression data from CTCs from all the patients. In addition, we found that high expression levels of PALB2 and MYC were associated with a worse outcome. Interestingly, we identified that CTCs with an EpCAMhighVIMlowALDH1A1high signature showed both shorter overall survival (OS) and progression-free survival (PFS), suggesting that CTCs with epithelial-stem features had the most aggressive phenotype.

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Reference68 articles.

1. International Agency for Research on Cancer Breast Cancer Incidence and Mortality Statisticshttps://gco.iarc.fr/

2. Breast cancer metastasis;Scully;Cancer Genom. Proteom.,2012

3. Breast Cancer Metastasis: Challenges and Opportunities

4. Luminal breast cancer: from biology to treatment

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

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