Cell morphology best predicts tumorigenicity and metastasisin vivoacross multiple TNBC cell lines of different metastatic potential

Author:

Conner SydneyORCID,Guarin Justinne R.ORCID,Le Thanh T.ORCID,Fatherree JacksonORCID,Kelley CharlotteORCID,Payne SamanthaORCID,Salhany Ken,McGinn RachelORCID,Henrich Emily,Yui AnnaORCID,Parker Savannah,Srinivasan DeeptiORCID,Bloomer HananORCID,Borges Hannah,Oudin Madeleine J.ORCID

Abstract

AbstractBackgroundMetastasis 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, thein vitromorphological, proliferative, migratory, and invasive behavior of these cell lines and their correlation toin vivobehavior 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 predictin vivometastasis.MethodsWe 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.ResultsWe 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 singlein vitromotility assay in 2D or 3D significantly correlated with metastasisin vivo.ConclusionsOur 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 multiplein vitromotility metrics using multiple cell lines to represent the heterogeneity of metastasisin vivo.

Publisher

Cold Spring Harbor Laboratory

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