In our studies, we utilize data from local breast cancer cohorts to uncover potential predictors of treatment response. In our proposed project, we aim at exploring several data layers (e.g. SNPs, mRNA, and clinical information) from local cohorts of primary breast cancer patients to explore predictors of prognosis after radiotherapy treatment. More specifically, we aim at finding predictors of locoregional (indicating treatment resistance) or contralateral disease (indicating potential side-effects) after radiotherapy. In this project, several techniques can be utilized such as SNP imputation, statistical assessment of genotypes/haplotypes/combined genotypes in relation to patient outcomes, differential gene expression, pathway enrichment analysis, and others. The project can be tailored according to student’s interest, but a base knowledge of R and use of command line is necessary beforehand. You will get acquainted with real‑world cohort data while contributing to breast cancer treatment research.
Contact: Helena.Jernstrom@med.lu.se
Helena Jernström, PhD, Professor in Experimental Oncology with focus on Integrative Cancer Epidemiology
Coordinator of the LUCC Cancer Prevention Network Head of office Cancerepi & Radiation Unit
Division of Oncology, Department of Clinical Sciences, Lund
Lund University Cancer Center/Kamprad