Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김승철 | * |
dc.contributor.author | 김윤환 | * |
dc.date.accessioned | 2016-12-27T02:12:22Z | - |
dc.date.available | 2016-12-27T02:12:22Z | - |
dc.date.issued | 2016 | * |
dc.identifier.issn | 1756-0381 | * |
dc.identifier.other | OAK-19854 | * |
dc.identifier.uri | https://dspace.ewha.ac.kr/handle/2015.oak/233141 | - |
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. © 2016 The Author(s). | * |
dc.language | English | * |
dc.publisher | BioMed Central Ltd. | * |
dc.subject | MALDI-TOF mass spectrometry | * |
dc.subject | Ovarian cancer | * |
dc.subject | Pattern recognition | * |
dc.subject | Screening | * |
dc.subject | Serum profiling | * |
dc.title | Low-mass-ion discriminant equation (LOME) for ovarian cancer screening | * |
dc.type | Article | * |
dc.relation.issue | 1 | * |
dc.relation.volume | 9 | * |
dc.relation.index | SCIE | * |
dc.relation.index | SCOPUS | * |
dc.relation.startpage | 1 | * |
dc.relation.lastpage | 14 | * |
dc.relation.journaltitle | BioData Mining | * |
dc.identifier.doi | 10.1186/s13040-016-0111-7 | * |
dc.identifier.wosid | WOS:000386171500001 | * |
dc.identifier.scopusid | 2-s2.0-84991585081 | * |
dc.author.google | Lee J.H. | * |
dc.author.google | Yoo B.C. | * |
dc.author.google | Kim Y.H. | * |
dc.author.google | Ahn S.-A. | * |
dc.author.google | Yeo S.-G. | * |
dc.author.google | Cho J.Y. | * |
dc.author.google | Kim K.-H. | * |
dc.author.google | Kim S.C. | * |
dc.contributor.scopusid | 김승철(35264000100) | * |
dc.contributor.scopusid | 김윤환(55763947200) | * |
dc.date.modifydate | 20240220115825 | * |