2019
DOI: 10.1038/s41598-019-46531-y
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Identifying chemopreventive agents for obesity-associated cancers using an efficient, 3D high-throughput transformation assay

Abstract: Obesity is associated with ~40% of cancer diagnoses but there are currently no effective preventive strategies, illustrating a need for chemoprevention. We previously demonstrated that fibroblast growth factor 2 (FGF2) from adipose tissue stimulates malignant transformation, as measured by growth in soft agar, the gold-standard in vitro transformation assay. Because the soft agar assay is unsuitable for high throughput screens (HTS), we developed a novel method using 3D growth in ultra-l… Show more

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Cited by 5 publications
(3 citation statements)
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“…Considering MCF10A as a representative of normal breast epithelial cells, it could be assumed that SVA had a small protective function. This could be attributed to the fact that at a concentration of 2.5 μM SVA, MCF10A cannot undergo a FGF2-driven malignant transformation in 3D cell cultures (led by using ultra-low attachment plates) [ 32 ].…”
Section: Discussionmentioning
confidence: 99%
“…Considering MCF10A as a representative of normal breast epithelial cells, it could be assumed that SVA had a small protective function. This could be attributed to the fact that at a concentration of 2.5 μM SVA, MCF10A cannot undergo a FGF2-driven malignant transformation in 3D cell cultures (led by using ultra-low attachment plates) [ 32 ].…”
Section: Discussionmentioning
confidence: 99%
“…The fibroblast growth factor receptor-1 (FGFR1) inhibitor, PD166866, was purchased from SelleckChem, growth factors were purchased from R&D Systems (insulin-like growth factor-1 (IGF1) and FGF2) and estradiol was purchased from Sigma-Aldrich. The PD166866 concentration used herein was based upon our previously published dose-response studies showing that 2.5 µM blocks FGF2-stimulated malignant transformation in JB6 P + cells [11].…”
Section: Methodsmentioning
confidence: 99%
“…109,110 Statins block the malignant transformation of human MCF10A breast cells by factors released from VAT. 111 These studies suggest the potential for adipocyte-derived lipids and obesity-associated metabolites to exert a negative impact on breast cancer risk and prognosis.…”
Section: Lipid Mediators and Metabolitesmentioning
confidence: 98%