2026-06-27T23:05:21Zhttps://docta.ucm.es/rest/oai/request
oai:docta.ucm.es:20.500.14352/1004382025-08-28T15:07:59Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense author Chang, Hang author Yang, Xu author Moore, Jade author Liu, Xiao Ping author Jen, Kuang Yu author Snijders, Antoine M. author Ma, Lin author Chou, William author Corchado Cobos, Roberto author García Sancha, Natalia author Mendiburu-Eliçabe Garganta, Marina author Pérez Losada, Jesús author Barcellos Hoff, Mary Helen author Mao, Jian Hua 2024-02-08T12:54:07Z 2024-02-08T12:54:07Z 2022 Chang H, Yang X, Moore J, Liu X-P, Jen K-Y, Snijders AM, et al. From Mouse to Human: Cellular Morphometric Subtype Learned From Mouse Mammary Tumors Provides Prognostic Value in Human Breast Cancer. Front Oncol 2022;11:819565. https://doi.org/10.3389/fonc.2021.819565. 2234-943X 10.3389/fonc.2021.819565 https://hdl.handle.net/20.500.14352/100438 https://doi.org/10.3389/fonc.2021.819565 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&E) micrographs of orthotopic Trp53-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 MMTV-Erbb2 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&E preparations can provide unbiased biological stratification to inform patient care. eng Attribution 4.0 International From Mouse to Human: Cellular Morphometric Subtype Learned From Mouse Mammary Tumors Provides Prognostic Value in Human Breast Cancer journal article 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