Literature DB >> 33562508

Grading Evolution and Contemporary Prognostic Biomarkers of Clinically Significant Prostate Cancer.

Konrad Sopyllo1, Andrew M Erickson2, Tuomas Mirtti1,3.   

Abstract

Gleason grading remains the strongest prognostic parameter in localized prostate adenocarcinoma. We have here outlined the evolution and contemporary practices in pathological evaluation of prostate tissue samples for Gleason score and Grade group. The state of more observer-independent grading methods with the aid of artificial intelligence is also reviewed. Additionally, we conducted a systematic review of biomarkers that hold promise in adding independent prognostic or predictive value on top of clinical parameters, Grade group and PSA. We especially focused on hard end points during the follow-up, i.e., occurrence of metastasis, disease-specific mortality and overall mortality. In peripheral blood, biopsy-detected prostate cancer or in surgical specimens, we can conclude that there are more than sixty biomarkers that have been shown to have independent prognostic significance when adjusted to conventional risk assessment or grouping. Our search brought up some known putative markers and panels, as expected. Also, the synthesis in the systematic review indicated markers that ought to be further studied as part of prospective trials and in well characterized patient cohorts in order to increase the resolution of the current clinico-pathological prognostic factors.

Entities:  

Keywords:  Gleason grading; biomarker; grade grouping; prostate cancer; survival

Year:  2021        PMID: 33562508      PMCID: PMC7914622          DOI: 10.3390/cancers13040628

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  110 in total

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3.  Artificial intelligence for diagnosis and grading of prostate cancer in biopsies: a population-based, diagnostic study.

Authors:  Peter Ström; Kimmo Kartasalo; Henrik Olsson; Leslie Solorzano; Brett Delahunt; Daniel M Berney; David G Bostwick; Andrew J Evans; David J Grignon; Peter A Humphrey; Kenneth A Iczkowski; James G Kench; Glen Kristiansen; Theodorus H van der Kwast; Katia R M Leite; Jesse K McKenney; Jon Oxley; Chin-Chen Pan; Hemamali Samaratunga; John R Srigley; Hiroyuki Takahashi; Toyonori Tsuzuki; Murali Varma; Ming Zhou; Johan Lindberg; Cecilia Lindskog; Pekka Ruusuvuori; Carolina Wählby; Henrik Grönberg; Mattias Rantalainen; Lars Egevad; Martin Eklund
Journal:  Lancet Oncol       Date:  2020-01-08       Impact factor: 41.316

4.  MUC1-C oncoprotein confers androgen-independent growth of human prostate cancer cells.

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Journal:  Prostate       Date:  2012-04-02       Impact factor: 4.104

5.  Genomic Prostate Score, PI-RADS™ version 2 and Progression in Men with Prostate Cancer on Active Surveillance.

Authors:  Zachary Kornberg; Janet E Cowan; Antonio C Westphalen; Matthew R Cooperberg; June M Chan; Shoujun Zhao; Katsuto Shinohara; Peter R Carroll
Journal:  J Urol       Date:  2019-02       Impact factor: 7.450

6.  mRNA expression signature of Gleason grade predicts lethal prostate cancer.

Authors:  Kathryn L Penney; Jennifer A Sinnott; Katja Fall; Yudi Pawitan; Yujin Hoshida; Peter Kraft; Jennifer R Stark; Michelangelo Fiorentino; Sven Perner; Stephen Finn; Stefano Calza; Richard Flavin; Matthew L Freedman; Sunita Setlur; Howard D Sesso; Swen-Olof Andersson; Neil Martin; Philip W Kantoff; Jan-Erik Johansson; Hans-Olov Adami; Mark A Rubin; Massimo Loda; Todd R Golub; Ove Andrén; Meir J Stampfer; Lorelei A Mucci
Journal:  J Clin Oncol       Date:  2011-05-02       Impact factor: 44.544

7.  Report From the International Society of Urological Pathology (ISUP) Consultation Conference on Molecular Pathology of Urogenital Cancers. I. Molecular Biomarkers in Prostate Cancer.

Authors:  Tamara L Lotan; Scott A Tomlins; Tarek A Bismar; Theodorus H Van der Kwast; David Grignon; Lars Egevad; Glen Kristiansen; Colin C Pritchard; Mark A Rubin; Lukas Bubendorf
Journal:  Am J Surg Pathol       Date:  2020-07       Impact factor: 6.394

8.  The prognostic role of immune checkpoint markers programmed cell death protein 1 (PD-1) and programmed death ligand 1 (PD-L1) in a large, multicenter prostate cancer cohort.

Authors:  Nora Ness; Sigve Andersen; Mehrdad Rakaee Khanehkenari; Cecilie V Nordbakken; Andrej Valkov; Erna-Elise Paulsen; Yngve Nordby; Roy M Bremnes; Tom Donnem; Lill-Tove Busund; Elin Richardsen
Journal:  Oncotarget       Date:  2017-04-18

9.  Low Expression of miR-424-3p is Highly Correlated with Clinical Failure in Prostate Cancer.

Authors:  E Richardsen; S Andersen; S Al-Saad; M Rakaee; Y Nordby; M I Pedersen; N Ness; L M Ingebriktsen; A Fassina; K A Taskén; I G Mills; T Donnem; R M Bremnes; L T Busund
Journal:  Sci Rep       Date:  2019-07-23       Impact factor: 4.379

10.  GOLPH3 modulates mTOR signalling and rapamycin sensitivity in cancer.

Authors:  Kenneth L Scott; Omar Kabbarah; Mei-Chih Liang; Elena Ivanova; Valsamo Anagnostou; Joyce Wu; Sabin Dhakal; Min Wu; Shujuan Chen; Tamar Feinberg; Joseph Huang; Abdel Saci; Hans R Widlund; David E Fisher; Yonghong Xiao; David L Rimm; Alexei Protopopov; Kwok-Kin Wong; Lynda Chin
Journal:  Nature       Date:  2009-06-25       Impact factor: 49.962

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2.  Prognostic values of the core components of the mammalian circadian clock in prostate cancer.

Authors:  Wenchang Yue; Xiao Du; Xuhong Wang; Niu Gui; Weijie Zhang; Jiale Sun; Jiawei You; Dong He; Xinyu Geng; Yuhua Huang; Jianquan Hou
Journal:  PeerJ       Date:  2021-12-09       Impact factor: 2.984

3.  Impact of Surgeon's Experience in Rigid versus Elastic MRI/TRUS-Fusion Biopsy to Detect Significant Prostate Cancer Using Targeted and Systematic Cores.

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Journal:  Cancers (Basel)       Date:  2022-02-10       Impact factor: 6.639

  3 in total

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