@article {323,
	title = {From Mouse to Human: Cellular Morphometric Subtype Learned From Mouse Mammary Tumors Provides Prognostic Value in Human Breast Cancer.},
	journal = {Front Oncol},
	volume = {11},
	year = {2021},
	month = {2021},
	pages = {819565},
	abstract = {<p>Mouse models of cancer provide a powerful tool for investigating all aspects of cancer biology. In this study, we used our recently developed machine learning approach to identify the cellular morphometric biomarkers (CMB) from digital images of hematoxylin and eosin (H\&amp;E) micrographs of orthotopic -null mammary tumors (n = 154) and to discover the corresponding cellular morphometric subtypes (CMS). Of the two CMS identified, CMS-2 was significantly associated with shorter survival (p = 0.0084). We then evaluated the learned CMB and corresponding CMS model in transgenic mouse mammary tumors (n = 53) in which CMS-2 was significantly correlated with the presence of metastasis (p = 0.004). We next evaluated the mouse CMB and CMS model on The Cancer Genome Atlas breast cancer (TCGA-BRCA) cohort (n = 1017). Kaplan-Meier analysis showed significantly shorter overall survival (OS) of CMS-2 patients compared to CMS-1 patients (p = 0.024) and added significant prognostic value in multi-variable analysis of clinical and molecular factors, namely, age, pathological stage, and PAM50 molecular subtype. Thus, application of CMS to digital images of routine workflow H\&amp;E preparations can provide unbiased biological stratification to inform patient care.</p>
},
	issn = {2234-943X},
	doi = {10.3389/fonc.2021.819565},
	author = {Chang, Hang and Yang, Xu and Moore, Jade and Liu, Xiao-Ping and Jen, Kuang-Yu and Snijders, Antoine M and Ma, Lin and Chou, William and Corchado-Cobos, Roberto and Garc{\'\i}a-Sancha, Natalia and Mendiburu-Eli{\c c}abe, Marina and Perez-Losada, Jesus and Barcellos-Hoff, Mary Helen and Mao, Jian-Hua}
}
@article {205,
	title = {FAM83D promotes cell proliferation and motility by downregulating tumor suppressor gene FBXW7.},
	journal = {Oncotarget},
	volume = {4},
	year = {2013},
	month = {2013 Dec},
	pages = {2476-86},
	abstract = {<p>Amplification of chromosome 20q is frequently found in various types of human cancers, including breast cancer. The list of candidate oncogenes in 20q has expanded over the past decade. Here, we investigate whether FAM83D (family with sequence similarity 83, member D) on chromosome 20q plays any role in breast cancer development. The expression level of FAM83D is significantly elevated in breast cancer cell lines and primary human breast cancers. High expression levels of FAM83D are significantly associated with poor clinical outcome and distant metastasis in breast cancer patients. We show that ectopic expression of FAM83D in human mammary epithelial cells promotes cell proliferation, migration and invasion along with epithelial-mesenchymal transition (EMT). Ablation of FAM83D in breast cancer cells induces apoptosis and consequently inhibits cell proliferation and colony formation. Mechanistic studies reveal that overexpression of FAM83D downregulates FBXW7 expression levels through a physical interaction, which results in elevated protein levels of oncogenic substrates downstream to FBXW7, such as mTOR, whose inhibition by rapamycin can suppress FAM83D-induced cell migration and invasion. The results demonstrate that FAM83D has prognostic value for breast cancer patients and is a novel oncogene in breast cancer development that at least in part acts through mTOR hyper-activation by inhibiting FBXW7.</p>},
	keywords = {Apoptosis, Breast Neoplasms, Cell Cycle Proteins, Cell Growth Processes, Cell Line, Chromosomal Proteins, Down-Regulation, Epithelial-Mesenchymal Transition, F-Box Proteins, Genes, Humans, Microtubule-Associated Proteins, Non-Histone, Prognosis, Transfection, Tumor, Tumor Suppressor, Ubiquitin-Protein Ligases},
	issn = {1949-2553},
	doi = {10.18632/oncotarget.1581},
	author = {Wang, Zeran and Liu, Yueyong and Zhang, Pengju and Zhang, Weiguo and Wang, Weijing and Curr, Kenneth and Wei, Guangwei and Jiang-Hua Mao}
}
