Characterization of estrogen receptor mutant breast cancer in 3D cell culture.

Authors

null

Olivia Mayer

Texas College of Osteopathic Medicine, Fort Worth, TX

Olivia Mayer , Jordan Wright , Caroline Rinderle , Bruce Bunnell

Organizations

Texas College of Osteopathic Medicine, Fort Worth, TX, University of North Texas Health Science Center, School of Biomedical Sciences, Fort Worth, TX

Research Funding

University of Texas North Science Center

Background: Breast cancer is a leading cancer in women worldwide. Many primary breast cancers are estrogen receptor positive (ER+) and responsive to anti-estrogenic therapies. These tumors can mutate estrogen receptors to survive, allowing the tumors to become more triple-negative-like and therefore more dangerous. Triple-negative breast cancer (TNBC) has been particularly challenging to treat due to its lack of estrogen (ER), progesterone (PR), and human epidermal growth factor (HER2) receptors. Due to the lack of treatment options, TNBC has a poor prognosis and contributes to a significant percentage of breast cancer mortalities. These ER mutants act more like TNBC, resulting in worse clinical outcomes. Current research on these ER mutants has been conducted using two-dimensional (2D), monolayer cell culture, which does not translate effectively in animal models, and ultimately, humans. Three-dimensional (3D) cell culture, which allows for the formation of spheroids, mimics actual tumors and provides results more consistent with tumor treatment in vitro. Due to the lack of research on these ER mutants in 3D culture, they must be characterized to determine baseline gene expression and behavior. After characterization, identifying changes resulting from drug treatment will be possible. Methods: Parental, ER+ MCF7-Luc cells, and daughter D538G and Y537S mutants were seeded at a density of 3000 cells/well in a low-attachment, round-bottomed 96-well plate. 48 hours and 7 days post-seeding, newly-formed spheroids were imaged. Using ImageJ analysis software, diameter, area, perimeter, circularity, aspect ratio, roundness, and solidity were determined. After 7 days in culture, spheres were collected for RNA extraction. Next, cDNA was synthesized, and qRT-PCR was performed to assess gene expression differences. Results: The wild-type ER+ spheres have smaller diameters, spherocity values closer to one, and are more compact. They express different levels of EMT markers from the controls, indicating alterations to signaling pathways. These 3D cultures vary in expression from the 2D cultures of the same cell lines. Conclusions: MCF-7 ER+ breast cancer cells aggregate more readily than ER+ mutants. The ER must be involved in signaling that promotes aggregation, as reduced ER signaling decreases the ability for spheroid formation. This phenomenon and the differences in gene expression may explain why mutants tend to behave in a more triple-negative manner. Cells cultured in 3D express some genes to different extents, confirming the importance of 3D culture for identifying future therapies – cells behave differently in different culturing contexts, 3D being more consistent with tumor behavior. Therefore, characterizing ER+ mutants prior to drug treatment studies is crucial to understanding how compounds affect cancer cells, as well as for identifying differences in various ER+ mutants for better treatment outcomes.

Disclaimer

This material on this page is ©2024 American Society of Clinical Oncology, all rights reserved. Licensing available upon request. For more information, please contact licensing@asco.org

Abstract Details

Meeting

2024 ASCO Breakthrough

Session Type

Poster Session

Session Title

Poster Session B

Track

Thoracic Cancers,Breast Cancer,Gynecologic Cancer,Head and Neck Cancer,Hematologic Malignancies,Genetics/Genomics/Multiomics,Healthtech Innovations,Models of Care and Care Delivery,Viral-Mediated Malignancies,Other Malignancies or Topics

Sub Track

Novel preclinical models

Citation

J Clin Oncol 42, 2024 (suppl 23; abstr 14)

DOI

10.1200/JCO.2024.42.23_suppl.14

Abstract #

14

Poster Bd #

B3

Abstract Disclosures