Literature DB >> 15217924

Detection of prostate cancer and predicting progression: current and future diagnostic markers.

James V Tricoli1, Mason Schoenfeldt, Barbara A Conley.   

Abstract

Carcinoma of the prostate is the second leading cause of male cancer-related death in the United States. Better indicators of prostate cancer presence and progression are needed to avoid unnecessary treatment, predict disease course, and develop more effective therapy. Numerous molecular markers have been described in human serum, urine, seminal fluid, and histological specimens that exhibit varying capacities to detect prostate cancer and predict disease course. However, to date, few of these markers have been adequately validated for clinical use. The purpose of this review is to examine the current status of these markers in prostate cancer and to assess the diagnostic potential for future markers from identified genes and molecules that display loss, mutation, or alteration in expression between tumor and normal prostate tissues. In this review we cite 91 molecular markers that display some level of correlation with prostate cancer presence, disease progression, cancer recurrence, prediction of response to therapy, and/or disease-free survival. We suggest criteria to consider when selecting a marker for further development as a clinical tool and discuss five examples of markers (chromogranin A, glutathione S-transferase pi 1, prostate stem cell antigen, prostate-specific membrane antigen, and telomerase reverse transcriptase) that fulfill some of these criteria. Finally, we discuss how to conduct evaluations of candidate prostate cancer markers and some of the issues involved in the validation process.

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Year:  2004        PMID: 15217924     DOI: 10.1158/1078-0432.CCR-03-0200

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  52 in total

1.  Label-free in vitro prostate cancer cell detection via photonic-crystal biosensor.

Authors:  Frank DeLuna; XiaoFei Ding; Ismael Sagredo; Gilbert Bustamante; Lu-Zhe Sun; Jing Yong Ye
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-02-20

2.  Low serum testosterone levels are predictive of prostate cancer.

Authors:  Luigi Mearini; Alessandro Zucchi; Elisabetta Nunzi; Tommaso Villirillo; Vittorio Bini; Massimo Porena
Journal:  World J Urol       Date:  2011-11-09       Impact factor: 4.226

3.  Reduced Kv1.3 potassium channel expression in human prostate cancer.

Authors:  Mansoor Abdul; Naseema Hoosein
Journal:  J Membr Biol       Date:  2007-06-02       Impact factor: 1.843

4.  Molecular alterations in primary prostate cancer after androgen ablation therapy.

Authors:  Carolyn J M Best; John W Gillespie; Yajun Yi; Gadisetti V R Chandramouli; Mark A Perlmutter; Yvonne Gathright; Heidi S Erickson; Lauren Georgevich; Michael A Tangrea; Paul H Duray; Sergio González; Alfredo Velasco; W Marston Linehan; Robert J Matusik; Douglas K Price; William D Figg; Michael R Emmert-Buck; Rodrigo F Chuaqui
Journal:  Clin Cancer Res       Date:  2005-10-01       Impact factor: 12.531

5.  Adoptive T-Cell Therapy for Solid Tumors.

Authors:  Oladapo Yeku; Xinghuo Li; Renier J Brentjens
Journal:  Am Soc Clin Oncol Educ Book       Date:  2017

6.  Akt/cAMP-responsive element binding protein/cyclin D1 network: a novel target for prostate cancer inhibition in transgenic adenocarcinoma of mouse prostate model mediated by Nexrutine, a Phellodendron amurense bark extract.

Authors:  Addanki P Kumar; Shylesh Bhaskaran; Manonmani Ganapathy; Katherine Crosby; Michael D Davis; Peter Kochunov; John Schoolfield; I-Tien Yeh; Dean A Troyer; Rita Ghosh
Journal:  Clin Cancer Res       Date:  2007-05-01       Impact factor: 12.531

7.  p300 (histone acetyltransferase) biomarker predicts prostate cancer biochemical recurrence and correlates with changes in epithelia nuclear size and shape.

Authors:  Sumit Isharwal; Michael C Miller; Cameron Marlow; Danil V Makarov; Alan W Partin; Robert W Veltri
Journal:  Prostate       Date:  2008-07-01       Impact factor: 4.104

8.  Loss of Nkx3.1 leads to the activation of discrete downstream target genes during prostate tumorigenesis.

Authors:  H Song; B Zhang; M A Watson; P A Humphrey; H Lim; J Milbrandt
Journal:  Oncogene       Date:  2009-07-13       Impact factor: 9.867

9.  Using the ratio of means as the effect size measure in combining results of microarray experiments.

Authors:  Pingzhao Hu; Celia M T Greenwood; Joseph Beyene
Journal:  BMC Syst Biol       Date:  2009-11-05

10.  An improved method for constructing tissue microarrays from prostate needle biopsy specimens.

Authors:  F McCarthy; A Fletcher; N Dennis; C Cummings; H O'Donnell; J Clark; P Flohr; R Vergis; S Jhavar; C Parker; C S Cooper
Journal:  J Clin Pathol       Date:  2009-08       Impact factor: 3.411

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