-
Je něco špatně v tomto záznamu ?
Preoperative prostate health index predicts adverse pathology and Gleason score upgrading after radical prostatectomy for prostate cancer
V. Novak, S. Vesely, H. Luksanová, R. Prusa, O. Capoun, V. Fiala, O. Dolejsová, H. Sedlacková, R. Kucera, J. Stejskal, M. Zalesky, M. Babjuk
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, multicentrická studie
NLK
BioMedCentral
od 2001-12-01
BioMedCentral Open Access
od 2001
Directory of Open Access Journals
od 2001
Free Medical Journals
od 2001
PubMed Central
od 2001
Europe PubMed Central
od 2001
ProQuest Central
od 2009-01-01
Open Access Digital Library
od 2001-01-01
Open Access Digital Library
od 2001-08-01
Open Access Digital Library
od 2001-01-01
Medline Complete (EBSCOhost)
od 2001-01-01
Health & Medicine (ProQuest)
od 2009-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2001
Springer Nature OA/Free Journals
od 2001-12-01
- MeSH
- lidé středního věku MeSH
- lidé MeSH
- nádory prostaty krev patologie chirurgie MeSH
- prediktivní hodnota testů MeSH
- předoperační období MeSH
- prospektivní studie MeSH
- prostatektomie * metody MeSH
- prostatický specifický antigen krev MeSH
- senioři MeSH
- stupeň nádoru MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
BACKGROUND: We aimed to explore the utility of prostate specific antigen (PSA) isoform [- 2] proPSA and its derivatives for prediction of pathological outcome after radical prostatectomy (RP). METHODS: Preoperative blood samples were prospectively and consecutivelyanalyzed from 472 patients treated with RP for clinically localized prostate cancerat four medical centers. Measured parameters were PSA, free PSA (fPSA), fPSA/PSA ratio, [- 2] proPSA (p2PSA), p2PSA/fPSA ratio and Prostate Health Index (PHI)(p2PSA/fPSA)*√PSA]. Logistic regression models were fitted to determine the accuracy of markers for prediction of pathological Gleason score (GS) ≥7, Gleason score upgrading, extracapsular extension of the tumor (pT3) and the presence of positive surgical margin (PSM). The accuracy of predictive models was compared using area under the receiver operating curve (AUC). RESULTS: Of 472 patients undergoing RP, 339 (72%) were found to have pathologic GS ≥ 7, out of them 178 (53%) experienced an upgrade from their preoperative GS = 6. The findings of pT3 and PSM were present in 132 (28%) and 133 (28%) cases, respectively. At univariable analysis of all the preoperative parameters, PHI was the most accurate predictor of pathological GS ≥7 (OR 1.02, 95% CI 1.01-1.03, p<0.001), GS upgrading (OR 1.02, 95% CI 1.01-1.03, p<0.003), pT3 disease (OR 1.01, 95% CI 1.00-1.02, p<0.007) and the presence of PSM (OR 1.01, 95% CI 1.00-1.02, p<0.002). Adding of PHI into the base multivariable model increased significantly the accuracy for prediction of pathological GS by 4.4% to AUC = 66.6 (p = 0.015) and GS upgrading by 5.0% to AUC = 65.9 (p = 0.025), respectively. CONCLUSIONS: Preoperative PHI levels may contribute significantly to prediction of prostate cancer aggressiveness and expansion of the tumor detected at final pathology.
Citace poskytuje Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc21020145
- 003
- CZ-PrNML
- 005
- 20210830101747.0
- 007
- ta
- 008
- 210728s2020 xxk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1186/s12894-020-00711-5 $2 doi
- 035 __
- $a (PubMed)32894109
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a xxk
- 100 1_
- $a Novak, Vojtech $u Department of Urology, Charles University 2nd Faculty of Medicine University Hospital Motol, Prague, Czech Republic. vojtech.novak.lf2@gmail.com
- 245 10
- $a Preoperative prostate health index predicts adverse pathology and Gleason score upgrading after radical prostatectomy for prostate cancer / $c V. Novak, S. Vesely, H. Luksanová, R. Prusa, O. Capoun, V. Fiala, O. Dolejsová, H. Sedlacková, R. Kucera, J. Stejskal, M. Zalesky, M. Babjuk
- 520 9_
- $a BACKGROUND: We aimed to explore the utility of prostate specific antigen (PSA) isoform [- 2] proPSA and its derivatives for prediction of pathological outcome after radical prostatectomy (RP). METHODS: Preoperative blood samples were prospectively and consecutivelyanalyzed from 472 patients treated with RP for clinically localized prostate cancerat four medical centers. Measured parameters were PSA, free PSA (fPSA), fPSA/PSA ratio, [- 2] proPSA (p2PSA), p2PSA/fPSA ratio and Prostate Health Index (PHI)(p2PSA/fPSA)*√PSA]. Logistic regression models were fitted to determine the accuracy of markers for prediction of pathological Gleason score (GS) ≥7, Gleason score upgrading, extracapsular extension of the tumor (pT3) and the presence of positive surgical margin (PSM). The accuracy of predictive models was compared using area under the receiver operating curve (AUC). RESULTS: Of 472 patients undergoing RP, 339 (72%) were found to have pathologic GS ≥ 7, out of them 178 (53%) experienced an upgrade from their preoperative GS = 6. The findings of pT3 and PSM were present in 132 (28%) and 133 (28%) cases, respectively. At univariable analysis of all the preoperative parameters, PHI was the most accurate predictor of pathological GS ≥7 (OR 1.02, 95% CI 1.01-1.03, p<0.001), GS upgrading (OR 1.02, 95% CI 1.01-1.03, p<0.003), pT3 disease (OR 1.01, 95% CI 1.00-1.02, p<0.007) and the presence of PSM (OR 1.01, 95% CI 1.00-1.02, p<0.002). Adding of PHI into the base multivariable model increased significantly the accuracy for prediction of pathological GS by 4.4% to AUC = 66.6 (p = 0.015) and GS upgrading by 5.0% to AUC = 65.9 (p = 0.025), respectively. CONCLUSIONS: Preoperative PHI levels may contribute significantly to prediction of prostate cancer aggressiveness and expansion of the tumor detected at final pathology.
- 650 _2
- $a senioři $7 D000368
- 650 _2
- $a lidé $7 D006801
- 650 _2
- $a mužské pohlaví $7 D008297
- 650 _2
- $a lidé středního věku $7 D008875
- 650 _2
- $a stupeň nádoru $7 D060787
- 650 _2
- $a prediktivní hodnota testů $7 D011237
- 650 _2
- $a předoperační období $7 D057234
- 650 _2
- $a prospektivní studie $7 D011446
- 650 _2
- $a prostatický specifický antigen $x krev $7 D017430
- 650 12
- $a prostatektomie $x metody $7 D011468
- 650 _2
- $a nádory prostaty $x krev $x patologie $x chirurgie $7 D011471
- 655 _2
- $a časopisecké články $7 D016428
- 655 _2
- $a multicentrická studie $7 D016448
- 700 1_
- $a Vesely, Stepan $u Department of Urology, Charles University 2nd Faculty of Medicine University Hospital Motol, Prague, Czech Republic
- 700 1_
- $a Luksanová, Hana $u Department of Medical Chemistry and Clinical Biochemistry, Charles University 2nd Faculty of Medicine University Hospital Motol, Prague, Czech Republic
- 700 1_
- $a Prusa, Richard $u Department of Medical Chemistry and Clinical Biochemistry, Charles University 2nd Faculty of Medicine University Hospital Motol, Prague, Czech Republic
- 700 1_
- $a Capoun, Otakar $u Department of Urology, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, Czech Republic
- 700 1_
- $a Fiala, Vojtech $u Department of Urology, General University Hospital and 1st Faculty of Medicine, Charles University, Prague, Czech Republic
- 700 1_
- $a Dolejsová, Olga $u Department of Urology, University Hospital and Faculty of Medicine in Pilsen, Pilsen, Czech Republic
- 700 1_
- $a Sedlacková, Hana $u Department of Urology, University Hospital and Faculty of Medicine in Pilsen, Pilsen, Czech Republic
- 700 1_
- $a Kucera, Radek $u Department of Immunochemistry, University Hospital and Faculty of Medicine in Pilsen, Pilsen, Czech Republic
- 700 1_
- $a Stejskal, Jiri $u Department of Urology and 1st and 3rd Medical Faculty, Thomayer Hospital, Charles University, Prague, Czech Republic
- 700 1_
- $a Zalesky, Miroslav $u Department of Urology and 1st and 3rd Medical Faculty, Thomayer Hospital, Charles University, Prague, Czech Republic
- 700 1_
- $a Babjuk, Marko $u Department of Urology, Charles University 2nd Faculty of Medicine University Hospital Motol, Prague, Czech Republic $u Medical University of Vienna, Vienna, Austria
- 773 0_
- $w MED00008208 $t BMC urology $x 1471-2490 $g Roč. 20, č. 1 (2020), s. 144
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/32894109 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y p $z 0
- 990 __
- $a 20210728 $b ABA008
- 991 __
- $a 20210830101747 $b ABA008
- 999 __
- $a ok $b bmc $g 1690851 $s 1140591
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2020 $b 20 $c 1 $d 144 $e 20200907 $i 1471-2490 $m BMC urology $n BMC Urol $x MED00008208
- LZP __
- $a Pubmed-20210728