Publications by authors named "Sydney Conner"
Obesity is associated with increased incidence and metastasis of triple-negative breast cancer, an aggressive breast cancer subtype. The extracellular matrix (ECM) is a major component of the tumor microenvironment that drives metastasis. To characterize the temporal effects of age and high-fat diet (HFD)-driven weight gain on the ECM, we injected allograft tumor cells at 4-week intervals into mammary fat pads of mice fed a control or HFD, assessing tumor growth and metastasis and evaluating the ECM composition of the mammary fat pads, lungs, and livers.
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- Metastasis is the leading cause of death in breast cancer, necessitating an understanding of tumor cell migration and its correlation between in vitro and in vivo behavior.
- In a study using immunocompromised mice, six human triple-negative breast cancer (TNBC) cell lines were evaluated for their tumor growth, metastasis, and characteristics such as morphology, proliferation, and motility.
- The findings categorized cell lines by their metastatic potential and showed that morphological metrics were the best predictors of tumor growth and metastasis, while in vitro motility assays did not significantly correlate with in vivo outcomes.
Younger age and obesity increase the incidence and metastasis of triple-negative breast cancer (TNBC), an aggressive subtype of breast cancer. The extracellular matrix (ECM) promotes tumor invasion and metastasis. We characterized the effect of age and obesity on the ECM of mammary fat pads, lungs, and liver using a diet-induced obesity (DIO) model.
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- 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.
The extracellular matrix (ECM), a major component of the tumor microenvironment, promotes local invasion to drive metastasis. Here, we describe a method to study whole-tissue ECM effects from disease states associated with metastasis on tumor cell phenotypes and identify the individual ECM proteins and signaling pathways that are driving these effects. We show that decellularized ECM from tumor-bearing and obese mammary glands drives TNBC cell invasion.
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