Missouri University of Science and Technology
Investigation of biomarkers for noninvasive early diagnosis of cancer
Abstract
dc:description.abstract<p>"Cancer is the second leading cause of death worldwide, and deaths from cancer worldwide are projected to continue rising, with an estimated 12 million deaths in 2030. Cancer occurs when cells in a part of the body begin to grow out of control. It develops very rapidly, and early diagnosis offers a greater chance of successful treatment and a higher survival rate. Biomarkers are good potential tools for early diagnosis. The main hypothesis of this study is that the levels of certain metabolites present in human urine can indicate the current or future behavior of cancer. Therefore, these studies focused on metabolomics biomarker analysis in urine. Eight pteridine molecules were analyzed using a house-built, high-performance capillary electrophoresis with laser-induced fluorescence detection (HPCE-LIF) in the first study. The results showed that 5 pteridine molecules were elevated in cancer compared to non-cancer urine samples. The second study investigated the levels of proline, kynurenine, uracil, and glycerol-3-phosphate in 126 patients with genitourinary malignancies (63 prostate cancers & 63 bladder cancers) and compared them to 68 normal samples using a validated LC/MS/MS method. Statistical analysis showed that the above biomarkers were not reliable enough for prostate cancer detection or for differentiating the aggressiveness of prostate cancer. The third study describes a validated, reliable, fast, and simple HPLC-MS/MS method to simultaneously separate and detect potential urinary bladder cancer biomarkers such as taurine, L-phenylalanine, hippuric acid and creatinine in urine samples. The final paper is a review article that discusses the applications of different LC-MS/MS and CE-MS techniques in prostate biomarker discovery"--Abstract, page iv.</p>
Degree
thesis:*- Name thesis:degree_name
- Ph. D. in Chemistry
- Grantor
- Missouri University of Science and Technology
- Year dc:date.available
- 2016
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Gamagedara, Sanjeewa Bandara
Subjects
dc:subject × 1Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholarsmine.mst.edu/doctoral_dissertations/2364
- OAI identifier oai:identifier
- oai:scholarsmine.mst.edu:doctoral_dissertations-3366