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University of Texas Health Science Center at Houston

Integrative Bioinformatics Approaches to Elucidating Prostate Cancer Cell Heterogeneity, Plasticity, and Treatment Response

Abstract

dc:description.abstract

<p>Prostate cancer (PCa) is the most common non-cutaneous tumor in American men, and the second leading cause of cancer-related deaths. PCa-related deaths can be attributed to heterogeneous tumors containing metastatic and therapy-resistant cancer cells. Cancer stem cells (CSC) are an important contributor to this tumor heterogeneity, which are present in primary tumors and become enriched in castration resistant PCa (CRPC). Our lab has demonstrated that the prostate cancer stem cells (PCSCs) are enriched in the phenotypically undifferentiated PCa cell population that lacks the expression of differentiation marker prostate-specific antigen (PSA). Our work has also demonstrated that PCa cells manifest significant plasticity such that phenotypically differentiated PSA+ PCa cells can be reprogrammed to the castrationresistant, stem-like state by chronic castration or overexpression of the stemness factor NANOG. Therefore, my overarching hypothesis is that PSA-/lo cells possess intrinsic molecular and epigenetic features that regulate their aggressiveness and stemness and contribute to tumor progression and therapy resistance, and that these properties can be gained through epigenetic reprogramming of more differentiated PSA+ PCa cell population. Throughout my Ph.D. thesis research, I employed an integrative bioinformatics approach to test this hypothesis.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation (PhD)
Year dc:date.available
2018

Author and committee

dc:creator, dc:contributor.*
Authors dc:creator
  • Chao, Hsueh-Ping
  • <p>https://orcid.org/0000-0001-9404-4300</p>
Contributors dc:contributor
  • Dean G. Tang, Ph.D.
  • Sharon Y.R. Dent, Ph.D.
  • Vishwanath Iyer, Ph.D.

Subjects

dc:subject × 11

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:digitalcommons.library.tmc.edu:utgsbs_dissertations-1961

Chain of custody

source
Harvested from
University of Texas Health Science Center at Houston
Base URL
digitalcommons.library.tmc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Chao, Hsueh-Ping; <p>https://orcid.org/0000-0001-9404-4300</p>. Integrative Bioinformatics Approaches to Elucidating Prostate Cancer Cell Heterogeneity, Plasticity, and Treatment Response. Dissertation (PhD) thesis, 2018. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/913