Integrating features of clonal evolution in the modeling of disease risk and drug sensitivity in acute myeloid leukemia
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 |
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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 |
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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 |
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Genre | Text |
Bibliographic information
Statement of responsibility | Brooks Avery Benard. |
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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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