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Multimodal Data Integration Applied to Cancer Evolution and Signaling.
Multimodal Data Integration Applied to Cancer Evolution and Signaling.
- 자료유형
- 학위논문
- Control Number
- 0017161973
- International Standard Book Number
- 9798383280287
- Dewey Decimal Classification Number
- 574
- Main Entry-Personal Name
- Officer, Adam.
- Publication, Distribution, etc. (Imprint
- [S.l.] : University of California, San Diego., 2024
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- Physical Description
- 88 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 86-01, Section: B.
- General Note
- Advisor: Tamayo, Pablo;Gutkind, J. Silvio.
- Dissertation Note
- Thesis (Ph.D.)--University of California, San Diego, 2024.
- Summary, Etc.
- 요약Tumors evolve from normal cells due to aberrant activation or repression of cell signaling. Our understanding of how these signaling pathways affect the phenotype of the malignant cells themselves, as well as the surrounding microenvironment, is lacking. As the era of precision medicine approaches, a more holistic understanding of cancer intrinsic signaling and its effect on the epigenome of tumor cells, as well as how these tumor cells interact with surrounding normal cells, is key to unlocking novel therapeutic targets and biomarkers. Through three examples of cancer evolution and signaling I will show the value of integrative data modeling to better understand the biology of this disease.First, in the context of breast cancer progression, I developed a microenvironment modeling approach to identify several novel intercellular signaling pathways that are altered in the transition from in situ to invasive disease. Second, in uveal melanoma, a cancer caused by aberrant GNAQ signaling, I generated and integrated transcriptional and protein level datasets together to nominate p53, and other pathways, as novel downstream targets of GNAQ. And third, in the context of head and neck cancer progression, I characterized the role of YAP activation in malignant transformation and cell signaling through EGFR and mTOR.
- Subject Added Entry-Topical Term
- Bioinformatics.
- Subject Added Entry-Topical Term
- Cellular biology.
- Subject Added Entry-Topical Term
- Biomedical engineering.
- Subject Added Entry-Topical Term
- Oncology.
- Index Term-Uncontrolled
- Tumors
- Index Term-Uncontrolled
- Cancer progression
- Index Term-Uncontrolled
- Cancer evolution
- Index Term-Uncontrolled
- Cell signaling
- Added Entry-Corporate Name
- University of California, San Diego Bioinformatics and Systems Biology
- Host Item Entry
- Dissertations Abstracts International. 86-01B.
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:657022
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