Date of Award
Spring 5-15-2018
Degree Name
Doctor of Philosophy (PhD)
Degree Type
Dissertation
Abstract
Precision oncology demands accurate portrayal of a disease at all molecular levels. However, current large-scale studies of omics are often isolated by data types. I have been developing computational tools to conduct integrative analyses of omics data, identifying unique molecular etiology in each tumor. Particularly, this dissertation presents the following contributions to the computational omics of cancer: (1) uncovering the predisposition landscape in 33 cancers and how germline genome collaborates with somatic alterations in oncogenesis; (2) pioneering methods to combine genomic and proteomic data to identify treatment opportunities; and (3) revealing selective phosphorylation of kinase-substrate pairs. These findings advance our understanding of tumor biology on a systematic scale and inform clinical practice of cancer diagnosis and treatment design.
Language
English (en)
Chair and Committee
Li Ding
Committee Members
Kimberly J. Johnson, Cynthia Ma, Nancy L. Saccone, James B. Skeath,
Recommended Citation
Huang, Kuan-Lin, "Multi-omics Portraits of Cancer" (2018). Arts & Sciences Electronic Theses and Dissertations. 1538.
https://openscholarship.wustl.edu/art_sci_etds/1538
Comments
Permanent URL: https://doi.org/10.7936/K7WM1CVN