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Unlocking Cancer Insights: A Data-Driven Approach to Unravel Genomic Variations in Kinome and Genomic and Proteome Remodeling by Mechano-Chemical Signals Jonathan Nukpezah
- Format:
- Book
- Thesis/Dissertation
- Author/Creator:
- Nukpezah, Jonathan, author.
- Language:
- English
- Subjects (All):
- 0202.
- 0541.
- 0648.
- 0992.
- Local Subjects:
- 0202.
- 0541.
- 0648.
- 0992.
- Physical Description:
- 1 electronic resource (261 pages)
- Contained In:
- Dissertations Abstracts International 87-08B
- Place of Publication:
- Ann Arbor : ProQuest Dissertations and Theses, 2025
- Language Note:
- English
- Summary:
- Cancer progression is fundamentally shaped by the dynamic interplay between tumor cells and their extracellular matrix (ECM), making a deeper understanding of these interactions critical for developing effective therapeutic strategies. This thesis examines cancer cell-ECM interactions through multiple lenses: mechanobiology, proteomics, and machine learning. It identifies distinct mechanotypes in tumor-derived cells, discovers protein signatures predicting cellular behaviors, applies topological analysis to develop integrated models for predicting oncogenic kinase mutations. These findings enhance our understanding of ECM influence on cancer cell behavior and provide new frameworks for predicting cancer-associated mutations. The integration of these diverse methodological approaches reveals a unified picture of cancer cell adaptation to environmental cues. By bridging molecular mechanisms with cellular phenotypes, this work establishes a foundation for developing targeted therapeutic strategies that disrupt the ECM-cancer cell communication axis, potentially leading to more effective treatments for tissue-specific malignancies
- Notes:
- Advisors: Radhakrishnan, Ravi Committee members: Janmey, Paul; Ko, Jina; Heo, Su Chin
- Source: Dissertations Abstracts International, Volume: 87-08, Section: B.
- Ph.D. University of Pennsylvania 2025
- Vendor supplied data
- Local Notes:
- School code: 0175
- ISBN:
- 9798276001555
- Access Restriction:
- Restricted for use by site license
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