Integrating features of clonal evolution in the modeling of disease risk and drug sensitivity in acute myeloid leukemia

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Abstract/Contents

Abstract
Accurately predicting the severity of a cancer patient's disease and identifying targetable drivers of malignant transformation are critical for guiding tolerable treatment regiments, selecting optimal therapeutic interventions, and ultimately improving a patient's quality of life. However, even within a specific type of cancer, the combinatorial and heterogeneous nature of how different genetic mutations cooperate to initiate and drive disease often limits our ability to make such predictions. With the emergence of large, clinically annotated, and genetically profiled cohorts of cancer patients, more accurate predictions of patient risk and drug treatment have been developed. Despite these advances, little is known about how nuances in the evolutionary history of mutational acquisition in cancer impact disease aggressiveness or sensitivity to drugs. Towards this goal, my dissertation focuses on the following areas: First, I summarize available datasets and computational approaches for predicting mutation-specific drug sensitivity. Second, I describe how the clonal abundance and temporal associations of specific mutations are associated with poor survival. Third, I show how the interplay of mutational burden and architecture of cancer evolution are correlated with aggressive disease. Finally, I demonstrate novel associations between the clonal prevalence of mutations and drug sensitivity.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2023; ©2023
Publication date 2023; 2023
Issuance monographic
Language English

Creators/Contributors

Author Benard, Brooks Avery
Degree supervisor Majeti, Ravindra, 1972-
Thesis advisor Majeti, Ravindra, 1972-
Thesis advisor Attardi, Laura
Thesis advisor Gentles, Andrew J
Thesis advisor Jaiswal, Siddhartha
Degree committee member Attardi, Laura
Degree committee member Gentles, Andrew J
Degree committee member Jaiswal, Siddhartha
Associated with Stanford University, School of Medicine
Associated with Stanford University, Cancer Biology Program

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Brooks Avery Benard.
Note Submitted to the Cancer Biology Program.
Thesis Thesis Ph.D. Stanford University 2023.
Location https://purl.stanford.edu/zk840bq5946

Access conditions

Copyright
© 2023 by Brooks Avery Benard
License
This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

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