Low-mass-ion discriminant equation (LOME) for ovarian cancer screening
DC Field | Value | Language |
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dc.contributor.author | Lee, Jun Hwa | - |
dc.contributor.author | Yoo, Byong Chul | - |
dc.contributor.author | Kim, Yun Hwan | - |
dc.contributor.author | Ahn, Sun-A | - |
dc.contributor.author | Yeo, Seung-Gu | - |
dc.contributor.author | Cho, Jae Youl | - |
dc.contributor.author | Kim, Kyung-Hee | - |
dc.contributor.author | Kim, Seung Cheol | - |
dc.date.accessioned | 2021-08-11T16:45:22Z | - |
dc.date.available | 2021-08-11T16:45:22Z | - |
dc.date.issued | 2016-10-12 | - |
dc.identifier.issn | 1756-0381 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/8678 | - |
dc.description.abstract | Background: A low-mass-ion discriminant equation (LOME) was constructed to investigate whether systematic low-mass-ion (LMI) profiling could be applied to ovarian cancer (OVC) screening. Results: Matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry was performed to obtain mass spectral data on metabolites detected as LMIs up to a mass-to-charge ratio (m/z) of 2500 for 1184 serum samples collected from healthy individuals and patients with OVC, other types of cancer, or several types of benign tumor. Principal component analysis-based discriminant analysis and two search algorithms were employed to identify discriminative low-mass ions for distinguishing OVC from non-OVC cases. OVC LOME with 13 discriminative LMIs produced excellent classification results in a validation set (sensitivity, 93. 10 %; specificity, 100.0 %). Among 13 LMIs showing differential mass intensities in OVC, 3 metabolic compounds were identified and semi-quantitated. The relative amount of LPC 16: 0 was somewhat decreased in OVC, but not significantly so. In contrast, (D,L)-glutamine and fibrinogen alpha chain fragment were significantly increased in OVC compared to the control group (p = 0.001 and 0.002, respectively). Conclusion: The present study suggested that OVC LOME might be a useful non-invasive tool with high sensitivity and specificity for OVC screening. The LOME approach could enable screening for multiple diseases, including various types of cancer, based on a single blood sample. Furthermore, the serum levels of three metabolic compounds-(D,L)-glutamine, LPC 16: 0 and fibrinogen alpha chain fragment-might facilitate screening for OVC. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | BioMed Central | - |
dc.title | Low-mass-ion discriminant equation (LOME) for ovarian cancer screening | - |
dc.type | Article | - |
dc.publisher.location | 영국 | - |
dc.identifier.doi | 10.1186/s13040-016-0111-7 | - |
dc.identifier.scopusid | 2-s2.0-84991585081 | - |
dc.identifier.wosid | 000386171500001 | - |
dc.identifier.bibliographicCitation | BioData Mining, v.9 | - |
dc.citation.title | BioData Mining | - |
dc.citation.volume | 9 | - |
dc.type.docType | Article | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Mathematical & Computational Biology | - |
dc.relation.journalWebOfScienceCategory | Mathematical & Computational Biology | - |
dc.subject.keywordPlus | SQUAMOUS-CELL CARCINOMA | - |
dc.subject.keywordPlus | POTENTIAL BIOMARKERS | - |
dc.subject.keywordPlus | BREAST-CANCER | - |
dc.subject.keywordPlus | GLUTAMINE | - |
dc.subject.keywordPlus | IDENTIFICATION | - |
dc.subject.keywordPlus | LYSOPHOSPHOLIPIDS | - |
dc.subject.keywordPlus | METABOLISM | - |
dc.subject.keywordPlus | SERUM | - |
dc.subject.keywordAuthor | Ovarian cancer | - |
dc.subject.keywordAuthor | Screening | - |
dc.subject.keywordAuthor | Serum profiling | - |
dc.subject.keywordAuthor | MALDI-TOF mass spectrometry | - |
dc.subject.keywordAuthor | Pattern recognition | - |
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