Literature DB >> 18949633

Ki-67 in screen-detected, low-grade, low-stage prostate cancer, relation to prostate-specific antigen doubling time, Gleason score and prostate-specific antigen relapse after radical prostatectomy.

Ali Khatami1, Jonas Hugosson, Wanzhong Wang, Jan-Erik Damber.   

Abstract

OBJECTIVE: To evaluate the correlation of Ki-67 as a proliferation marker to prostate-specific antigen doubling time (PSADT), Gleason score and its possible role as a predictor of PSA relapse after radical prostatectomy in early prostate cancer (PC).
MATERIAL AND METHODS: Out of 660 patients detected with PC in the Swedish branch of the European Randomized Study of Prostate Cancer, 270 were managed with active surveillance. During follow-up (mean 63 months), 70 men were treated with radical retropubic prostatectomy (RRP). In 50 of these patients the preoperative PSADT was calculated and archive prostatectomy specimens were stained for Ki-67. The quantification of positive staining cells was performed by counting five to 15 randomly selected microscopic fields using an eyepiece graticule at 400 x magnification and at least 1000 tumour cells were counted for each patient. One pathologist, blinded to the PSADT values, performed the pathological assessment. The correlation between Ki-67, PSADT and Gleason grade was explored. Cox proportional hazard model was used to evaluate the prognostic power for Ki-67 and other markers on the risk of PSA relapse after RRP.
RESULTS: Ki-67 was not correlated with PSADT (p=0.45) but was correlated with Gleason grade (p<0.0001). In the Cox proportional hazard model Ki-67 (p=0.03) [hazard ratio (HR) 2.49, 95% confidence interval (CI) 1.07-5.80] and total PSA (p=0.0068) (HR 1.86, 95% 1.19-2.92) were associated significantly with the risk of disease progression.
CONCLUSION: In men with screen-detected, clinically low-grade, low-stage prostate cancer, Ki-67 may be a valuable prognostic marker of PSA relapse after radical prostatectomy.

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Year:  2009        PMID: 18949633     DOI: 10.1080/00365590802469543

Source DB:  PubMed          Journal:  Scand J Urol Nephrol        ISSN: 0036-5599


  12 in total

1.  Circulating Ki-67 index in plasma as a biomarker and prognostic indicator in chronic lymphocytic leukemia.

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Journal:  Leuk Res       Date:  2010-04-01       Impact factor: 3.156

2.  Immunohistochemical expression of minichromosome maintenance complex protein 2 predicts biochemical recurrence in prostate cancer: a tissue microarray and digital imaging analysis-based study of 428 cases.

Authors:  Antoun Toubaji; Siobhan Sutcliffe; Alcides Chaux; Kristen Lecksell; Jessica Hicks; Angelo M De Marzo; Elizabeth A Platz; George J Netto
Journal:  Hum Pathol       Date:  2012-05-02       Impact factor: 3.466

3.  Novel diagnostic biomarkers for prostate cancer.

Authors:  Chikezie O Madu; Yi Lu
Journal:  J Cancer       Date:  2010-10-06       Impact factor: 4.207

4.  Circulating Ki-67 protein in plasma as a biomarker and prognostic indicator of acute lymphoblastic leukemia.

Authors:  Jean-Marie Bruey; Hagop Kantarjian; Zeev Estrov; Zhong Zhang; Wanlong Ma; Ferras Albitar; Adam Abdool; Deborah Thomas; Chenhsiung Yeh; Susan O'Brien; Maher Albitar
Journal:  Leuk Res       Date:  2009-08-12       Impact factor: 3.156

5.  Personalized management in low-risk prostate cancer: the role of biomarkers.

Authors:  Siebren Dijkstra; Agus Rizal A H Hamid; Gisèle H J M Leyten; Jack A Schalken
Journal:  Prostate Cancer       Date:  2012-12-13

6.  Using molecular markers to help predict who will fail after radical prostatectomy.

Authors:  Gregory P Swanson; David Quinn
Journal:  Prostate Cancer       Date:  2011-04-14

7.  Comparison of digital image analysis and visual scoring of KI-67 in prostate cancer prognosis after prostatectomy.

Authors:  Patrice Desmeules; Hélène Hovington; Molière Nguilé-Makao; Caroline Léger; André Caron; Louis Lacombe; Yves Fradet; Bernard Têtu; Vincent Fradet
Journal:  Diagn Pathol       Date:  2015-06-13       Impact factor: 2.644

8.  Reduced expression of PinX1 correlates to progressive features in patients with prostate cancer.

Authors:  Rong Shi; Zhen Zhao; Hui Zhou; Min Wei; Wen-Li Ma; Jue-Yu Zhou; Wan-Long Tan
Journal:  Cancer Cell Int       Date:  2014-06-06       Impact factor: 5.722

Review 9.  Incorporation of tissue-based genomic biomarkers into localized prostate cancer clinics.

Authors:  Marco Moschini; Martin Spahn; Agostino Mattei; John Cheville; R Jeffrey Karnes
Journal:  BMC Med       Date:  2016-04-04       Impact factor: 8.775

10.  Targeting of cytosolic phospholipase A2α impedes cell cycle re-entry of quiescent prostate cancer cells.

Authors:  Mu Yao; Chanlu Xie; Mei-Yee Kiang; Ying Teng; David Harman; Jessamy Tiffen; Qian Wang; Paul Sved; Shisan Bao; Paul Witting; Jeff Holst; Qihan Dong
Journal:  Oncotarget       Date:  2015-10-27
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