Seminar on Subgroup Analysis with Differential Treatment Effects and Biomarker Identification at 2 pm on December 6, 2022

Title: Subgroup Analysis with Differential Treatment Effects and Biomarker Identification

Abstract:

In the process of drug development and regulatory decision making, it is important to characterize heterogeneity of subject response to treatment. The heterogenous effect is typically assessed based on variety of information on clinical, gene and protein expression markers, commonly known as biomarkers. Previous studies have shown that mRNA expression patterns of tumor samples can predict clinical outcome of cancer patients. Altered mRNA expression profiles from tumor samples can serve as the
molecular basis of the cancer patients and hence can be used as the molecular signatures for subgrouping of patients with different survival. The primary objective of this research is two-fold: i) to integrate multi-omic data such as mRNA expression profiles and the copy number variations in order to identify mutated driver genes, and ii) to use a significant set of driver mutated latent gene structures to identify breast cancer patient subgroups with distinguishable clinical outcomes. As an example, differential treatment effects of cardio-respiratory fitness (CRF) are assessed on survival experience of a group of individuals from an observational study. Similar approach will be considered to identify subgroups of breast cancer patients with different clinical outcomes.

Speaker:

Dr. Munni Begum
PROFESSOR OF MATHEMATICAL SCIENCES AND DIRECTOR OF THE DATA SCIENCE AND ANALYTICS PROGRAMS
Ball State University
https://www.bsu.edu/academics/collegesanddepartments/math/about/facultyandstaff/faculty/begummunni