- Baylor College of Medicine, 1 Baylor Plaza, BCM-Jewish Institute for Research Room 645D, Mail Stop: BCM600 Houston, Texas 77030 United States (713) 798-4298
- Assistant Professor
- Department of Medicine
- Baylor College of Medicine
- Houston, TX
- PhD from Institute of Genomics & Integrative Biology
- Cancer multi-omics analysis
The primary goal of my research is to improve breast cancer diagnosis, treatment and survival by precision data science.
Breast cancer is a diverse and heterogeneous disease, hence one therapy will not be uniformly beneficial to all patients. To dissect the molecular level heterogeneity of these tumors, we employ multi-omics and big data analysis on patient’s next generation sequencing data. We implement bioinformatics to understand the role of mutations, structural variations, gene expressions, copy number variations and genomic aberrations in promoting breast cancer.
In the past, we have shown role of DNA damage repair defects as a new class of endocrine treatment resistance driver. Exploring the cause and effect relationship further, we are trying to understanding the contribution of immune-checkpoint and other immune-tolerance factors in therapeutic resistant and advancement of estrogen-receptor positive disease. This warrants for integration of patient genome, transcriptome and metabolome with their clinical data.
- "Loss of MutL Disrupts Chk2-dependent Cell Cycle Control Through CDK4/6 to Promote Intrinsic Endocrine Therapy Resistance in Primary Breast Cancer." Cancer Discovery. 2017 Pubmed PMID: 28801307
- "Amplification of TLK2 Induces Genomic Instability via Impairing the G2-M Checkpoint." Mol. Cancer Res.. 2016 Pubmed PMID: 27489360
- "Comprehensive profiling of DNA repair defects in breast cancer identifies a novel class of endocrine therapy resistance drivers." Clinical Cancer Research. 2018 May Pubmed PMID: 29793947
- "The prognostic effects of somatic mutations in ER-positive breast cancer." Nature Communications. 2018 September Pubmed PMID: 30181556
- NGS-data analysis
- Cancer genomics