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Multimodal Data Integration Applied to Cancer Evolution and Signaling.
Содержание
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  
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Control Number  
joongbu:657022
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