Breast Cancer

Preexisting Somatic Mutations of Estrogen Receptor Alpha (ESR1) in Early-Stage Primary Breast Cancer

More than three-quarters of primary breast cancers are positive for estrogen receptor alpha (ER; encoded by the gene *ESR1*), the most important factor for directing anti-estrogenic endocrine therapy (ET). Recently, mutations in *ESR1* were …

PhD Project: RNA Sequencing-based Tools for Breast Cancer Diagnostics

My PhD work in developing RNA sequencing-based diagnostic tools for breast cancer.

RNA Sequencing for Molecular Diagnostics in Breast Cancer

Breast cancer is the most common type of cancer in women and, in Sweden, is the most deadly second only to lung cancer. While treatment and diagnostic options have improved in the past decades and short- to mid-term survival is good, long-term …

The mutational landscape of the SCAN-B real-world primary breast cancer transcriptome

Breast cancer is a disease of genomic alterations, of which the panorama of somatic mutations and how these relate to subtypes and therapy response is incompletely understood. Within SCAN‐B (ClinicalTrials.gov: NCT02306096), a prospective study …

Defining the Mutational Landscape of 3,217 Primary Breast Cancer Transcriptomes through large-scale RNA-seq within the Sweden Cancerome Analysis Network: Breast Project (SCAN-B; NCT03430492)

SCAN-B MutationExplorer

A web-based application for exploring tumor somatic mutations.

Defining the Mutational Landscape of the Primary Breast Cancer Transcriptome through large-scale RNA-seq in the Sweden Cancerome Analysis Network–Breast (SCAN-B) Project

Detection of circulating tumor cells and circulating tumor DNA before and after mammographic breast compression in a cohort of breast cancer patients scheduled for neoadjuvant treatment

It is not known if mammographic breast compression of a primary tumor causes shedding of tumor cells into the circulatory system. Little is known about how the detection of circulating biomarkers such as circulating tumor cells (CTCs) or circulating …

Towards Better Breast Cancer Diagnostics: Large-scale Profiling of Tumor Transcriptomes

RNA-seq-Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers in the Population-Based Multicenter SCAN-B Study