Cell morphology best predicts tumorigenicity and metastasis in vivo across multiple TNBC cell lines of different metastatic potential.
Adhesion
Cell lines
Invasion
Metastasis
Migration
Triple-negative breast cancer
Journal
Breast cancer research : BCR
ISSN: 1465-542X
Titre abrégé: Breast Cancer Res
Pays: England
ID NLM: 100927353
Informations de publication
Date de publication:
11 Mar 2024
11 Mar 2024
Historique:
received:
14
06
2023
accepted:
26
02
2024
medline:
12
3
2024
pubmed:
12
3
2024
entrez:
12
3
2024
Statut:
epublish
Résumé
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 in vitro morphological, proliferative, migratory, and invasive behavior of these cell lines and their correlation to in vivo 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 in vivo metastasis. 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. 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 in vitro motility assay in 2D or 3D significantly correlated with metastasis in vivo. 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 in vitro motility metrics using multiple cell lines to represent the heterogeneity of metastasis in vivo.
Sections du résumé
BACKGROUND
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 in vitro morphological, proliferative, migratory, and invasive behavior of these cell lines and their correlation to in vivo 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 in vivo metastasis.
METHODS
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
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 in vitro motility assay in 2D or 3D significantly correlated with metastasis in vivo.
CONCLUSIONS
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 in vitro motility metrics using multiple cell lines to represent the heterogeneity of metastasis in vivo.
Identifiants
pubmed: 38468326
doi: 10.1186/s13058-024-01796-8
pii: 10.1186/s13058-024-01796-8
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
43Subventions
Organisme : NCI NIH HHS
ID : R00-CA207866
Pays : United States
Organisme : NCI NIH HHS
ID : R00-CA207866
Pays : United States
Organisme : NCI NIH HHS
ID : DP2CA271387
Pays : United States
Organisme : NCI NIH HHS
ID : R00-CA207866
Pays : United States
Organisme : NCI NIH HHS
ID : R00-CA207866
Pays : United States
Organisme : NCI NIH HHS
ID : R00-CA207866
Pays : United States
Organisme : NCI NIH HHS
ID : DP2CA271387
Pays : United States
Organisme : NCI NIH HHS
ID : DP2CA271387
Pays : United States
Organisme : NCI NIH HHS
ID : DP2CA271387
Pays : United States
Organisme : NCI NIH HHS
ID : R01CA255742
Pays : United States
Organisme : NCI NIH HHS
ID : DP2CA271387
Pays : United States
Organisme : NCI NIH HHS
ID : R01CA255742
Pays : United States
Organisme : NCI NIH HHS
ID : R00-CA207866
Pays : United States
Organisme : NIDDK NIH HHS
ID : 1T32DK124170-01
Pays : United States
Informations de copyright
© 2024. The Author(s).
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