Journal: Veterinary Sciences

Article Title: Tumor Growth Progression in Ectopic and Orthotopic Xenografts from Inflammatory Breast Cancer Cell Lines

doi: 10.3390/vetsci8090194

Figure Lengend Snippet: Tumor growth parameters of IPC-366 and SUM149 cell lines in ectopic and orthotopic models.

Article Snippet: The human triple-negative inflammatory breast cancer cell line SUM149 was obtained from Asterand, Inc. (Detroit, MI, USA), (RRID: CVCL_3422).

Techniques: Injection

Journal: Veterinary Sciences

Article Title: Tumor Growth Progression in Ectopic and Orthotopic Xenografts from Inflammatory Breast Cancer Cell Lines

doi: 10.3390/vetsci8090194

Figure Lengend Snippet: IPC-366 and SUM149 xenotransplanted mice, paraffin sections, H-E. ( A ) IPC-366 ectopic xenotransplanted mice. Neoplastic cells arranged in solid masses separated by a scant fibrovascular stroma infiltrating the adjacent dermis (inset: neoplastic cells infiltrating adjacent dermis). ( B ) IPC-366 orthotopic mice. Unencapsulated and densely cellular mass extending into the adjacent adipose tissue. ( C , D ) Ectopic and orthotopic IPC-366 xenotransplanted mice. Tumors are composed of highly pleomorphic cells with marked anisocytosis and anisokaryosis. Binucleated cells are commonly seen (arrow). ( E , F ) Ectopic and orthotopic SUM149 xenografted mice. Solid tumors infiltrate the dermis and adipose tissue. No histological differences were found between the types of SUM149 xenografts. ( G ) Orthotopic SUM149 xenograft. Medium to large round cells with a moderate eosinophilic cytoplasm and large nuclei with one or more evident nucleoli. ( H ) Orthotopic SUM149 xenograft. Presence of neoplastic cells with an elongated and empty cytoplasm that displaced the nuclei to the periphery, suggestive of endothelial-like cells (ELCs) (arrow). Atypical mitoses were frequently seen (arrowhead).

Article Snippet: The human triple-negative inflammatory breast cancer cell line SUM149 was obtained from Asterand, Inc. (Detroit, MI, USA), (RRID: CVCL_3422).

Techniques:

Journal: Veterinary Sciences

Article Title: Tumor Growth Progression in Ectopic and Orthotopic Xenografts from Inflammatory Breast Cancer Cell Lines

doi: 10.3390/vetsci8090194

Figure Lengend Snippet: Estrogen receptor (ER), Progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER-2) expression on ectopic and orthotopic xenografts from IPC-366 and SUM149 cell lines.

Article Snippet: The human triple-negative inflammatory breast cancer cell line SUM149 was obtained from Asterand, Inc. (Detroit, MI, USA), (RRID: CVCL_3422).

Techniques: Expressing

Journal: Veterinary Sciences

Article Title: Tumor Growth Progression in Ectopic and Orthotopic Xenografts from Inflammatory Breast Cancer Cell Lines

doi: 10.3390/vetsci8090194

Figure Lengend Snippet: Steroid hormone secretion studied (P4, DHEA, A4, T, DHT, E1SO4, and E2), on ectopic (subcutaneous) and orthotopic (mammary fat pad) models of IPC-366 and SUM149 xenografts.

Article Snippet: The human triple-negative inflammatory breast cancer cell line SUM149 was obtained from Asterand, Inc. (Detroit, MI, USA), (RRID: CVCL_3422).

Techniques:

Journal: Bioinformatics and Biology Insights

Article Title: CellTrans: An R Package to Quantify Stochastic Cell State Transitions

doi: 10.1177/1177932217712241

Figure Lengend Snippet: CellTrans model predictions and validations. (A) to (G) We used CellTrans to analyze data of the evolution of cell state proportions of publicly available data. The data are plotted by colored dots. (A) to (F) The data originate from the work by Gupta et al4 with 3 different cell states (stem, basal, and luminal) from SUM149 and SUM159 breast cancer cell lines. The predictions of our analysis are plotted by colored curves. The color indicates the state of the cells at the beginning of the corresponding experiment. (G) Analysis of composition data (dots) of human mammary epithelial cell lines with cell states CD44−/CD24+ and CD44+/CD24−. The corresponding predictions are plotted as colored curves. (H) to (I) We excluded several of the late data points from the data of the proportions of cancer stem cells (CSCs) and nonstem cancer cells from the work by Yang et al and the data with adherent and suspended cells from the work by Geng et al. The predictions based on the remaining data are plotted, compare also with . This investigation indicates that CellTrans is able to predict cell state proportions even beyond the duration of experiments and that only a few data points are needed to reliably predict the equilibrium.

Article Snippet: CellTrans is able to recover the transition matrices for both cell lines SUM149 and SUM159 presented in the work by Gupta et al ( ). illustrates the predicted evolution of cell fractions for both cell lines.

Techniques: