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Understanding the organ tropism of metastatic breast cancer through the combination of liquid biopsy tools.

Publication ,  Journal Article
Gerratana, L; Davis, AA; Polano, M; Zhang, Q; Shah, AN; Lin, C; Basile, D; Toffoli, G; Wehbe, F; Puglisi, F; Behdad, A; Platanias, LC ...
Published in: Eur J Cancer
January 2021

BACKGROUND: Liquid biopsy provides real-time data about prognosis and actionable mutations in metastatic breast cancer (MBC). The aim of this study was to explore the combination of circulating tumour DNA (ctDNA) analysis and circulating tumour cells (CTCs) enumeration in estimating target organs more susceptible to MBC involvement. METHODS: This retrospective study analysed 88 MBC patients characterised for both CTCs and ctDNA at baseline. CTCs were isolated through the CellSearch kit, while ctDNA was analysed using the Guardant360 NGS-based assay. Sites of disease were collected on the basis of imaging. Associations were explored both through uni- and multivariate logistic regression and Fisher's exact test and the random forest machine learning algorithm. RESULTS: After multivariate logistic regression, ESR1 mutation was the only significant factor associated with liver metastases (OR 8.10), while PIK3CA was associated with lung localisations (OR 3.74). CTC enumeration was independently associated with bone metastases (OR 10.41) and TP53 was associated with lymph node localisations (OR 2.98). The metastatic behaviour was further investigated through a random forest machine learning algorithm. Bone involvement was described by CTC enumeration and alterations in ESR1, GATA3, KIT, CDK4 and ERBB2, while subtype, CTC enumeration, inflammatory BC diagnosis, ESR1 and KIT aberrations described liver metastases. PIK3CA, MET, AR, CTC enumeration and TP53 were associated with lung organotropism. The model, moreover, showed that AR, CCNE1, ESR1, MYC and CTC enumeration were the main drivers in HR positive MBC metastatic pattern. CONCLUSIONS: These results indicate that ctDNA and CTCs enumeration could provide useful insights regarding MBC organotropism, suggesting a possible role for future monitoring strategies that dynamically focus on high-risk organs defined by tumourbiology.

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Published In

Eur J Cancer

DOI

EISSN

1879-0852

Publication Date

January 2021

Volume

143

Start / End Page

147 / 157

Location

England

Related Subject Headings

  • Tropism
  • Retrospective Studies
  • Precision Medicine
  • Oncology & Carcinogenesis
  • Neoplastic Cells, Circulating
  • Neoplasm Metastasis
  • Middle Aged
  • Machine Learning
  • Liquid Biopsy
  • Humans
 

Citation

APA
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ICMJE
MLA
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Gerratana, L., Davis, A. A., Polano, M., Zhang, Q., Shah, A. N., Lin, C., … Cristofanilli, M. (2021). Understanding the organ tropism of metastatic breast cancer through the combination of liquid biopsy tools. Eur J Cancer, 143, 147–157. https://doi.org/10.1016/j.ejca.2020.11.005
Gerratana, Lorenzo, Andrew A. Davis, Maurizio Polano, Qiang Zhang, Ami N. Shah, Chenyu Lin, Debora Basile, et al. “Understanding the organ tropism of metastatic breast cancer through the combination of liquid biopsy tools.Eur J Cancer 143 (January 2021): 147–57. https://doi.org/10.1016/j.ejca.2020.11.005.
Gerratana L, Davis AA, Polano M, Zhang Q, Shah AN, Lin C, et al. Understanding the organ tropism of metastatic breast cancer through the combination of liquid biopsy tools. Eur J Cancer. 2021 Jan;143:147–57.
Gerratana, Lorenzo, et al. “Understanding the organ tropism of metastatic breast cancer through the combination of liquid biopsy tools.Eur J Cancer, vol. 143, Jan. 2021, pp. 147–57. Pubmed, doi:10.1016/j.ejca.2020.11.005.
Gerratana L, Davis AA, Polano M, Zhang Q, Shah AN, Lin C, Basile D, Toffoli G, Wehbe F, Puglisi F, Behdad A, Platanias LC, Gradishar WJ, Cristofanilli M. Understanding the organ tropism of metastatic breast cancer through the combination of liquid biopsy tools. Eur J Cancer. 2021 Jan;143:147–157.
Journal cover image

Published In

Eur J Cancer

DOI

EISSN

1879-0852

Publication Date

January 2021

Volume

143

Start / End Page

147 / 157

Location

England

Related Subject Headings

  • Tropism
  • Retrospective Studies
  • Precision Medicine
  • Oncology & Carcinogenesis
  • Neoplastic Cells, Circulating
  • Neoplasm Metastasis
  • Middle Aged
  • Machine Learning
  • Liquid Biopsy
  • Humans