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Novel Bioinformatics Tools for Biomarker Discovery in Prostate Cancer.
Novel Bioinformatics Tools for Biomarker Discovery in Prostate Cancer.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0017161009
- International Standard Book Number
- 9798382295978
- Dewey Decimal Classification Number
- 574
- Main Entry-Personal Name
- Webster, Jace.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Washington University in St. Louis., 2024
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- Physical Description
- 115 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 85-10, Section: B.
- General Note
- Advisor: Maher, Christopher.
- Dissertation Note
- Thesis (Ph.D.)--Washington University in St. Louis, 2024.
- Summary, Etc.
- 요약Prostate cancer (PCa) accounts for 29% of all expected cancer diagnoses in men in 2024, but patients presenting with different disease stages can have significantly different outcomes. Patients with indolent PCa may experience little to no impact on their quality of life and have a 5-year survival as high as 98%, but progression to aggressive disease causes 5-year survival to plummet to 30%. Patients with the most lethal form of the disease, metastatic castration-resistant PCa (mCRPC), have a median survival of only 5.5 months if they become resistant to treatment. Due to this clinical heterogeneity, it is critical to quickly and accurately stratify patients to match them with the appropriate treatment plans. To address this need, this thesis focuses on the development of novel tools that may be applied to diagnostic and prognostic biomarker detection in PCa by 1) creating a pipeline to aid in analysis of liquid biopsies, 2) developing a tool for discovering fusion-derived circular RNAs as potential biomarkers and 3) identifying an epigenetic signature for stratification of localized PCa.
- Subject Added Entry-Topical Term
- Bioinformatics.
- Subject Added Entry-Topical Term
- Cellular biology.
- Subject Added Entry-Topical Term
- Oncology.
- Subject Added Entry-Topical Term
- Genetics.
- Index Term-Uncontrolled
- Biomarker
- Index Term-Uncontrolled
- Genomics
- Index Term-Uncontrolled
- Liquid biopsies
- Index Term-Uncontrolled
- Prostate cancer
- Added Entry-Corporate Name
- Washington University in St. Louis Biology & Biomedical Sciences (Human & Statistical Genetics)
- Host Item Entry
- Dissertations Abstracts International. 85-10B.
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:656156
MARC
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■006m o d
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■020 ▼a9798382295978
■035 ▼a(MiAaPQ)AAI31235319
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a574
■1001 ▼aWebster, Jace.▼0(orcid)0000-0002-9396-5658
■24510▼aNovel Bioinformatics Tools for Biomarker Discovery in Prostate Cancer.
■260 ▼a[S.l.]▼bWashington University in St. Louis. ▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a115 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 85-10, Section: B.
■500 ▼aAdvisor: Maher, Christopher.
■5021 ▼aThesis (Ph.D.)--Washington University in St. Louis, 2024.
■520 ▼aProstate cancer (PCa) accounts for 29% of all expected cancer diagnoses in men in 2024, but patients presenting with different disease stages can have significantly different outcomes. Patients with indolent PCa may experience little to no impact on their quality of life and have a 5-year survival as high as 98%, but progression to aggressive disease causes 5-year survival to plummet to 30%. Patients with the most lethal form of the disease, metastatic castration-resistant PCa (mCRPC), have a median survival of only 5.5 months if they become resistant to treatment. Due to this clinical heterogeneity, it is critical to quickly and accurately stratify patients to match them with the appropriate treatment plans. To address this need, this thesis focuses on the development of novel tools that may be applied to diagnostic and prognostic biomarker detection in PCa by 1) creating a pipeline to aid in analysis of liquid biopsies, 2) developing a tool for discovering fusion-derived circular RNAs as potential biomarkers and 3) identifying an epigenetic signature for stratification of localized PCa.
■590 ▼aSchool code: 0252.
■650 4▼aBioinformatics.
■650 4▼aCellular biology.
■650 4▼aOncology.
■650 4▼aGenetics.
■653 ▼aBiomarker
■653 ▼aGenomics
■653 ▼aLiquid biopsies
■653 ▼aProstate cancer
■690 ▼a0715
■690 ▼a0379
■690 ▼a0992
■690 ▼a0369
■71020▼aWashington University in St. Louis▼bBiology & Biomedical Sciences (Human & Statistical Genetics).
■7730 ▼tDissertations Abstracts International▼g85-10B.
■790 ▼a0252
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17161009▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
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