Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy.
Background: Prostate specific antigen (PSA) is an important biomarker to monitor the response to the treatment, but has not been fully utilized as a whole sequence. We used a longitudinal biomarker PSA to discover a new prognostic pattern that predicts castration-resistant prostate cancer (CRPC) aft...
| Published in: | BMC Medical Informatics & Decision Making Vol. 16; pp. 1 - 10 |
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| Main Authors: | , , , , , , , , |
| Format: | research Journal Article |
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BioMed Central
7/18/2016
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=116902345&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 116902345 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14726947 1CI0 jtl: BMC Medical Informatics & Decision Making issn: 14726947 maglogo: N pubinfo: dt: 7/18/2016 vid: 16 pid: 24147 pub: BioMed Central artinfo: ui: 116902345 116902345 NLM27453983 116902345 10.1186/s12911-016-0297-0 NLM27453983 PMC4959354 116902345 ppf: 1 ppct: 9 formats: tig: atl: Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy. aug: au: Yejin Kim Park, Yong Hyun Ji Youl Lee In Young Choi Hwanjo Yu Kim, Yejin Lee, Ji Youl Choi, In Young Yu, Hwanjo affil: Department of Creative IT Engineering, POSTECH, Pohang, South Korea sug: subj: Androgen Antagonists Therapeutic Use Data Mining Methods Prostate-Specific Antigen Blood Prostatic Neoplasms, Castration-Resistant Diagnosis Male Prognosis Male ab: Background: Prostate specific antigen (PSA) is an important biomarker to monitor the response to the treatment, but has not been fully utilized as a whole sequence. We used a longitudinal biomarker PSA to discover a new prognostic pattern that predicts castration-resistant prostate cancer (CRPC) after androgen deprivation therapy.Methods: We transformed the longitudinal PSA into a discrete sequence, used frequent sequential pattern mining to find candidate patterns from the sequences, and selected the most predictive and informative pattern among the candidates.Results: Patients were less likely to be CRPC if, after PSA values reach nadir, the PSA decreases more than 0.048 ng/ml during a month, and the decrease occurs again. This pattern significantly increased the accuracy of predicting CRPC by supplementing information provided by existing PSA patterns such as pretreatment PSA.Conclusions: This result can help clinicians to stratify men by the risk of CRPC and to determine the patient that needs intensive follow-up. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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