Digital droplet PCR analysis of organoids generated from mouse mammary tumors demonstrates proof-of-concept capture of tumor heterogeneity

Breast cancer metastases exhibit many different genetic alterations, including copy number amplifications (CNA). CNA are genetic alterations that are increasingly becoming relevant to breast oncology clinical practice. Here we identify CNA in metastatic breast tumor samples using publicly available...

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Published inFrontiers in cell and developmental biology Vol. 12; p. 1358583
Main Authors Lake, Katherine E, Colonnetta, Megan M, Smith, Clayton A, Saunders, Kaitlyn, Martinez-Algarin, Kenneth, Mohta, Sakshi, Pena, Jacob, McArthur, Heather L, Reddy, Sangeetha M, Roussos Torres, Evanthia T, Chen, Elizabeth H, Chan, Isaac S
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 15.05.2024
Subjects
breast cancer
ddPCR
FGFR1
heterogeneity
metastasis
ddPCR
breast cancer
metastasis
heterogeneity
FGFR1
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Summary:Breast cancer metastases exhibit many different genetic alterations, including copy number amplifications (CNA). CNA are genetic alterations that are increasingly becoming relevant to breast oncology clinical practice. Here we identify CNA in metastatic breast tumor samples using publicly available datasets and characterize their expression and function using a metastatic mouse model of breast cancer. Our findings demonstrate that our organoid generation can be implemented to study clinically relevant features that reflect the genetic heterogeneity of individual tumors.
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ISSN:2296-634X
2296-634X
DOI:10.3389/fcell.2024.1358583