Area of research
Cancer Research · Oncology
Research interest
Research interests include Breast cancer, Medicine, Oncology, Internal medicine, Cancer, and Hazard ratio.
Exogenous Hormones, Tumor Intrinsic Subtypes, and Breast Cancer
Lessons learned from a candidate gene study investigating aromatase inhibitor treatment outcome in breast cancer
Risk factors for breast cancer subtypes by race and ethnicity: a scoping review
Polygenic score distribution differences across European ancestry populations: implications for breast cancer risk prediction
Differences in polygenic score distributions in European ancestry populations: implications for breast cancer risk prediction
Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing dataset
Risk factors for breast cancer subtypes by race and ethnicity: A scoping review of the literature
Analysis of variants in untranslated and promoter regions and breast cancer risk using whole genome sequencing data
Incorporating progesterone receptor expression into the PREDICT breast prognostic model
Abstract 3670: Systematic literature review of risk factor associations with breast cancer subtypes in women of African, Asian, Hispanic, and European descents
Characterizing the tumor microenvironment in rare renal cancer histological types
Circulating tumor DNA is readily detectable among Ghanaian breast cancer patients supporting non-invasive cancer genomic studies in Africa
Circulating tumor DNA is readily detectable among Ghanaian breast cancer patients supporting non-invasive cancer genomic studies in Africa
Combined quantitative measures of ER, PR, HER2, and KI67 provide more prognostic information than categorical combinations in luminal breast cancer
Etiology of hormone receptor positive breast cancer differs by levels of histologic grade and proliferation
A Nested Case–Control Study of Metabolically Defined Body Size Phenotypes and Risk of Colorectal Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC)
Prognostic value of automated KI67 scoring in breast cancer: a centralised evaluation of 8088 patients from 10 study groups
High‐throughput automated scoring of Ki67 in breast cancer tissue microarrays from the Breast Cancer Association Consortium
High-throughput automated scoring of Ki67 in breast cancer tissue microarrays from the Breast Cancer Association Consortium (BCAC) : Large-scale scoring of Ki67 in breast cancer TMAs
2016cited by 0position: first