التفاصيل البيبلوغرافية
| العنوان: |
From Mouse to Human: Cellular Morphometric Subtype Learned From Mouse Mammary Tumors Provides Prognostic Value in Human Breast Cancer |
| المؤلفون: |
Chang, Hang, Yang, Xu, Moore, Jade, Liu, Xiao-Ping, Jen, Kuang-Yu, Snijders, Antoine M, Ma, Lin, Chou, William, Corchado-Cobos, Roberto, García-Sancha, Natalia, Mendiburu-Eliçabe, Marina, Pérez-Losada, Jesus, Barcellos-Hoff, Mary Helen, Mao, Jian-Hua |
| بيانات النشر: |
eScholarship, University of California |
| سنة النشر: |
2022 |
| المجموعة: |
University of California: eScholarship |
| مصطلحات موضوعية: |
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Breast Cancer, Human Genome, Cancer, Genetics, Detection, screening and diagnosis, 4.1 Discovery and preclinical testing of markers and technologies, Good Health and Well Being, mouse mammary tumor, metastasis, human breast cancers, transfer learning, cellular morphometric biomarkers, cellular morphometric subtypes, overall survival, Clinical sciences |
| الوصف: |
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. |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
unknown |
| العلاقة: |
qt1pw5w78x; https://escholarship.org/uc/item/1pw5w78xTest |
| الإتاحة: |
https://escholarship.org/uc/item/1pw5w78xTest |
| حقوق: |
public |
| رقم الانضمام: |
edsbas.6692C161 |
| قاعدة البيانات: |
BASE |
