AI Article Synopsis

  • Metastasis is a major cause of death in breast cancer, involving processes like local invasion and colonization of distant organs, which are poorly understood across different human breast cancer cell lines.
  • This study classified six triple-negative breast cancer cell lines in a mouse model based on their tumor growth and metastasis characteristics, revealing varying levels of tumorigenicity and metastatic potential.
  • The researchers found that cell morphology metrics were the best predictors of metastasis, while no single motility assay consistently correlated with metastatic potential.

Article Abstract

Background: Metastasis is the leading cause of death in breast cancer patients. For metastasis to occur, tumor cells must invade locally, intravasate, and colonize distant tissues and organs, all steps that require tumor cell migration. The majority of studies on invasion and metastasis rely on human breast cancer cell lines. While it is known that these cells have different properties and abilities for growth and metastasis, the morphological, proliferative, migratory, and invasive behavior of these cell lines and their correlation to behavior is poorly understood. Thus, we sought to classify each cell line as poorly or highly metastatic by characterizing tumor growth and metastasis in a murine model of six commonly used human triple-negative breast cancer xenografts, as well as determine which in vitro assays commonly used to study cell motility best predict metastasis.

Methods: We evaluated the liver and lung metastasis of human TNBC cell lines MDA-MB-231, MDA-MB-468, BT549, Hs578T, BT20, and SUM159 in immunocompromised mice. We characterized each cell line's cell morphology, proliferation, and motility in 2D and 3D to determine the variation in these parameters between cell lines.

Results: We identified MDA-MB-231, MDA-MB-468, and BT549 cells as highly tumorigenic and metastatic, Hs578T as poorly tumorigenic and metastatic, BT20 as intermediate tumorigenic with poor metastasis to the lungs but highly metastatic to the livers, and SUM159 as intermediate tumorigenic but poorly metastatic to the lungs and livers. We showed that metrics that characterize cell morphology are the most predictive of tumor growth and metastatic potential to the lungs and liver. Further, we found that no single motility assay in 2D or 3D significantly correlated with metastasis .

Conclusions: Our results provide an important resource for the TNBC research community, identifying the metastatic potential of 6 commonly used cell lines. Our findings also support the use of cell morphological analysis to investigate the metastatic potential and emphasize the need for multiple motility metrics using multiple cell lines to represent the heterogeneity of metastasis .

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312673PMC
http://dx.doi.org/10.1101/2023.06.14.544969DOI Listing

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