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Subtype-specific characterization of breast cancer invasion using a microfluidic tumor platform. | LitMetric

AI Article Synopsis

  • Understanding how breast cancers progress to invasive ductal carcinoma (IDC) could lead to better treatments, but it's tough to identify genetic markers and the influence of the tumor environment due to the many subtypes of breast cancer.
  • A new in-vitro microfluidic assay was created to measure the invasion capabilities of different breast cancer subtypes within a 3D collagen matrix surrounding cancer cell structures.
  • The study found that while two aggressive subtypes (MDA-MB-231 and SUM-159PT) invaded the matrix, the less aggressive luminal A subtype (MCF-7) did not, with SUM-159PT showing greater invasive behavior, suggesting the assay could help predict the invasive potential of various breast cancer types.

Article Abstract

Understanding progression of breast cancers to invasive ductal carcinoma (IDC) can significantly improve breast cancer treatments. However, it is still difficult to identify genetic signatures and the role of tumor microenvironment to distinguish pathological stages of pre-invasive lesion and IDC. Presence of multiple subtypes of breast cancers makes the assessment more challenging. In this study, an in-vitro microfluidic assay was developed to quantitatively assess the subtype-specific invasion potential of breast cancers. The developed assay is a microfluidic platform in which a ductal structure of epithelial cancer cells is surrounded with a three-dimensional (3D) collagen matrix. In the developed platform, two triple negative cancer subtypes (MDA-MB-231 and SUM-159PT) invaded into the surrounding matrix but the luminal A subtype, MCF-7, did not. Among invasive subtypes, SUM-159PT cells showed significantly higher invasion and degradation of the surrounding matrix than MDA-MB-231. Interestingly, the cells cultured on the platform expressed higher levels of CD24 than in their conventional 2D cultures. This microfluidic platform may be a useful tool to characterize and predict invasive potential of breast cancer subtypes or patient-derived cells.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7297326PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0234012PLOS

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