Prediction of breast cancer metastasis by genomic profiling: where do we stand? Clin Exp Metastasis. 2009; 26 :547–558.Pfeffer U , Romeo F , Noonan DM , Albini A . 2009 . Prediction of breast cancer metastasis by genomic profiling: Where do we stand? Clin Exp Metastasis 26 : 547 – ...
We sought to examine the stability of prognostic signatures based on gene sets rather than individual genes. We classified breast cancer cases from five microarray studies according to the risk of metastasis, using features derived from predefined gene sets. The expression levels of genes in the set...
Polygenic risk scores (PRS) have been shown to predict breast cancer risk in European women, but their utility in Asian women is unclear. Here we evaluate the best performing PRSs for European-ancestry women using data from 17,262 breast cancer cases and 17,695 controls of Asian ancestry from...
Metastatic Breast Cancer (MBC) is one of the primary causes of cancer-related deaths in women. Despite several limitations, histopathological information about the malignancy is used for the classification of cancer. The objective of our study is to develop a non-invasive breast cancer classification...
Breast cancer is one of the most commonly found and dangerous cancer among women which leads to a major research topic in medical science. Most of the times, it is identified by using a biopsy method where tissue is removed and studied under a microscope. If a...
Considering the lack of efficient breast cancer prediction models suitable for general population screening in China. We aimed to develop a risk prediction model to identify high-risk populations, to help with primary prevention of breast cancer among Ha
Development and validation of polygenic risk scores for prediction of breast cancer and breast cancer subtypes in Chinese women C Hou,D Yang,Y Hao,... 被引量: 0发表: 2021年 Evaluation of Polygenic Risk Scores for Breast and Ovarian Cancer Risk Prediction in BRCA1 and BRCA2 Mutation Carriers...
As the incidence of this disease has increased significantly in the recent years,machine learning applications to this problem have also took a great attention as well as medicalconsideration. This paper presents an automatic diagnosis system for predicting breast cancer based onassociation rules (AR)...
One model (PredictCBC-1A) was developed including information about BRCA1/2 mutation status and another model (PredictCBC-1B) for the general breast cancer population of genetically untested women. Two other specific CBC prediction tools are currently available in the literature: the Manchester ...
Iconography : MR Imaging for Assessment of Breast Cancer Response to Neoadjuvant Chemotherapydoi:10.1148/RADIOL.12124051Nola HyltonRadiologyHylton N. MR imaging for the prediction of breast cancer response to neoadjuvant chemotherapy. Radiology . 2013;266:367....