Leveraging multi-omics integration to characterize human cancer
Abstract/Contents
- Abstract
- Omic technologies have been applied to cancer since they were invented and have yielded extremely powerful results. Common tumor types have been profiled extensively for their cancer drivers and genetic landscapes, identifying the extent of to which mutations alter the gene expression in cancer. However, other molecular features have not been comprehensively studied. As omic technologies become more widely available and more accurate, the unprofiled molecular landscape of cancer is ripe for investigation. This dissertation focuses on scientific investigations that utilize state-of-the-art omic tools to characterize the molecular phenotypes in human cancers. In addition, this dissertation addresses the topic of diversity, equity, and inclusion (DEI) and shares results from a program that I founded for Stanford Biosciences and the Medical Scientist Training Program (MSTP). The first chapter provides an overview of gene regulation studies based on multi-omics methodology, current molecular knowledge of thyroid cancer, and the state of DEI in biomedical graduate training programs. Chapter 2 clarifies mechanisms in which chromatin regulation affects protein-transcript correlation in progression and development of thyroid and breast cancer. It points to an interesting mechanism by which transcription factors mediate coordinated transcription and translation. Chapter 3 outlines the preliminary findings from a multi-omic analysis of genotype, chromatin regulatory landscape, transcripts, and proteins in metastatic thyroid cancer. This analysis classifies tumors and metastases according to regulons that have direct and indirect effects on the comprehensive profile of biomolecules. Chapter 4 describes an approach to a diversity recruitment program that has potential to scale across biomedical graduate programs. Results from the program show there are many underrepresented minorities that have the potential to thrive in biomedical training if supported. Lastly, Chapter 5 discusses the potential impact of multi-omics integration on the cancer field and other disease types. Taken together, these chapters represent key insights, improvements, and applications of multi-omics integration on human disease and opportunities for our graduate programs to be more engaged with DEI.
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 | 2020; ©2020 |
| Publication date | 2020; 2020 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Sanghi, Akshay |
|---|---|
| Degree supervisor | Snyder, Michael, Ph. D. |
| Thesis advisor | Snyder, Michael, Ph. D. |
| Thesis advisor | Curtis, Christina |
| Thesis advisor | Sidow, Arend |
| Thesis advisor | Winslow, Monte |
| Degree committee member | Curtis, Christina |
| Degree committee member | Sidow, Arend |
| Degree committee member | Winslow, Monte |
| Associated with | Stanford University, Department of Genetics |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Akshay Sanghi. |
|---|---|
| Note | Submitted to the Department of Genetics. |
| Thesis | Thesis Ph.D. Stanford University 2020. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Akshay Sanghi
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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