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...

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Published in:BMC Medical Informatics & Decision Making Vol. 16; pp. 1 - 10
Main Authors: Yejin Kim, Park, Yong Hyun, Ji Youl Lee, In Young Choi, Hwanjo Yu, Kim, Yejin, Lee, Ji Youl, Choi, In Young, Yu, Hwanjo
Format: research Journal Article
Published: BioMed Central 7/18/2016
Online Access:View this record in EBSCOhost
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      dt: 7/18/2016
      vid: 16
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      pub: BioMed Central
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        10.1186/s12911-016-0297-0
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        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
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