Literature DB >> 28648414

Prognostic role of Ki-67 score in localized prostate cancer: A systematic review and meta-analysis.

Alejandro Berlin1, Julio F Castro-Mesta2, Laura Rodriguez-Romo2, David Hernandez-Barajas2, Juan F González-Guerrero2, Iván A Rodríguez-Fernández2, Galileo González-Conchas2, Adrian Verdines-Perez2, Francisco E Vera-Badillo3.   

Abstract

BACKGROUND: Ki-67 for quantifying tumor proliferation is widely used. In localized prostate cancer (PCa), despite a suggested predictive role of Ki-67 for outcomes after therapies, it has not been incorporated into clinical practice. Herein, we conduct a systematic review and meta-analysis of the literature reporting the association of Ki-67 and disease outcomes in PCa treated radically.
METHODS: Medline and EMBASE databases were searched without date or language restrictions, using "KI67" and "prostate cancer" MeSH terms. Studies reporting Ki-67 association with clinical outcomes (disease-free survival [DFS], biochemical failure-free survival, rate of distant metastases [DM], disease-specific survival [DSS], or overall survival [OS], or all of these) in patients with PCa managed actively were included, and relevant data extracted by 2 independent reviewers. Odds ratios (OR) were weighted and pooled in a meta-analysis using Mantel-Haenszel random-effect modeling.
RESULTS: Twenty-one studies comprising 5,419 patients met eligibility for analysis, and 67.6% of patients had low Ki-67. Mean Ki-67 was 6.14%. High Ki-67 was strongly associated with worse clinical outcomes. DFS was better in those patients with low Ki-67 at 5 and 10 years (OR = 0.32, 95% CI: 0.23-0.44, P<0.00001; OR = 0.31, 95% CI: 0.20-0.48, P<0.00001). Similarly, low Ki-67 was related to improved DSS at 5 and 10 years (OR = 0.15, 95% CI: 0.10-0.21, P<0.00001; OR = 0.16, 95% CI: 0.06-0.40, P<0.00001). Association between low Ki-67 scores with improved OS (OR = 0.47; 95% CI: 0.37-0.61; P<0.00001) and high Ki-67 scores with DM at 5 years (OR = 4.07; 95% CI: 2.52-6.58; P<0.00001) was consistently observed.
CONCLUSIONS: High Ki-67 expression in localized PCa is a factor of poor prognosis for DSS, biochemical failure-free survival, DFS, DM, and OS after curative-intent treatments. Incorporation into clinical routine of this widely available and standardized biomarker should be strongly considered.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ki-67; Meta-analysis; Prostate cancer

Mesh:

Substances:

Year:  2017        PMID: 28648414     DOI: 10.1016/j.urolonc.2017.05.004

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  19 in total

1.  Is Ki67 prognostic for aggressive prostate cancer? A multicenter real-world study.

Authors:  Joseph J Fantony; Lauren E Howard; Ilona Csizmadi; Andrew J Armstrong; Amy L Lark; Colette Galet; William J Aronson; Stephen J Freedland
Journal:  Biomark Med       Date:  2018-06-15       Impact factor: 2.851

2.  Comparison of cell cycle progression score with two immunohistochemical markers (PTEN and Ki-67) for predicting outcome in prostate cancer after radical prostatectomy.

Authors:  Priscilla Léon; Geraldine Cancel-Tassin; Sara Drouin; Marie Audouin; Justine Varinot; Eva Comperat; Xavier Cathelineau; François Rozet; Christophe Vaessens; Steven Stone; Julia Reid; Zaina Sangale; Patrick Korman; Morgan Rouprêt; Gaelle Fromond-Hankard; Olivier Cussenot
Journal:  World J Urol       Date:  2018-04-20       Impact factor: 4.226

3.  Advanced glycation end-products (AGEs) are lower in prostate tumor tissue and inversely related to proportion of West African ancestry.

Authors:  Morgan L Zenner; Yves B Helou; Ryan J Deaton; Maria Sverdlov; Heng Wang; Andre Kajdacsy-Balla; Virgilia Macias; Cindy Voisine; Marcus Murray; Sarki A Abdulkadir; Adam B Murphy; Larisa Nonn
Journal:  Prostate       Date:  2021-12-02       Impact factor: 4.104

4.  The role of 18F-FDG PET/CT in diagnosis and treatment evaluation for ocular adnexal mucosa-associated lymphoid tissue lymphoma.

Authors:  Weifang Wang; Xiaochen Ni; Tianci Tang; Jie Wang; Yi Li; Xinmao Song
Journal:  Br J Radiol       Date:  2021-12-17       Impact factor: 3.039

5.  Machine Learning Using Multiparametric Magnetic Resonance Imaging Radiomic Feature Analysis to Predict Ki-67 in World Health Organization Grade I Meningiomas.

Authors:  Omaditya Khanna; Anahita Fathi Kazerooni; Christopher J Farrell; Michael P Baldassari; Tyler D Alexander; Michael Karsy; Benjamin A Greenberger; Jose A Garcia; Chiharu Sako; James J Evans; Kevin D Judy; David W Andrews; Adam E Flanders; Ashwini D Sharan; Adam P Dicker; Wenyin Shi; Christos Davatzikos
Journal:  Neurosurgery       Date:  2021-10-13       Impact factor: 5.315

6.  High Inter- and Intratumoral Variability of Ki67 Labeling Index in Newly Diagnosed Prostate Cancer with High Gleason Scores.

Authors:  Tatjana Vlajnic; Patrik Brunner; Serenella Eppenberger-Castori; Cyrill A Rentsch; Tobias Zellweger; Lukas Bubendorf
Journal:  Pathobiology       Date:  2021-09-23       Impact factor: 3.916

Review 7.  Novel insights in cell cycle dysregulation during prostate cancer progression.

Authors:  Salma Ben-Salem; Varadha Balaji Venkadakrishnan; Hannelore V Heemers
Journal:  Endocr Relat Cancer       Date:  2021-05-11       Impact factor: 5.900

Review 8.  Translational AI and Deep Learning in Diagnostic Pathology.

Authors:  Ahmed Serag; Adrian Ion-Margineanu; Hammad Qureshi; Ryan McMillan; Marie-Judith Saint Martin; Jim Diamond; Paul O'Reilly; Peter Hamilton
Journal:  Front Med (Lausanne)       Date:  2019-10-01

9.  Dose Escalation of Vitamin D3 Yields Similar Cryosurgical Outcome to Single Dose Exposure in a Prostate Cancer Model.

Authors:  Kimberly L Santucci; John M Baust; Kristi K Snyder; Robert G Van Buskirk; John G Baust
Journal:  Cancer Control       Date:  2018 Jan-Mar       Impact factor: 3.302

10.  Preoperative histogram parameters of dynamic contrast-enhanced MRI as a potential imaging biomarker for assessing the expression of Ki-67 in prostate cancer.

Authors:  Yongsheng Zhang; Zhiping Li; Chen Gao; Jianliang Shen; Mingtao Chen; Yufeng Liu; Zhijian Cao; Peipei Pang; Feng Cui; Maosheng Xu
Journal:  Cancer Med       Date:  2021-06-12       Impact factor: 4.452

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