Literature DB >> 26768791

Biomarkers in localized prostate cancer.

Matteo Ferro1, Carlo Buonerba2, Daniela Terracciano3, Giuseppe Lucarelli4, Vincenzo Cosimato3, Danilo Bottero1, Victor M Deliu1, Pasquale Ditonno4, Sisto Perdonà5, Riccardo Autorino6, Ioman Coman7, Sabino De Placido2, Giuseppe Di Lorenzo2, Ottavio De Cobelli1,7.   

Abstract

Biomarkers can improve prostate cancer diagnosis and treatment. Accuracy of prostate-specific antigen (PSA) for early diagnosis of prostate cancer is not satisfactory, as it is an organ- but not cancer-specific biomarker, and it can be improved by using models that incorporate PSA along with other test results, such as prostate cancer antigen 3, the molecular forms of PSA (proPSA, benign PSA and intact PSA), as well as kallikreins. Recent reports suggest that new tools may be provided by metabolomic studies as shown by preliminary data on sarcosine. Additional molecular biomarkers have been identified by the use of genomics, proteomics and metabolomics. We review the most relevant biomarkers for early diagnosis and management of localized prostate cancer.

Entities:  

Keywords:  biomarkers; prostate cancer

Mesh:

Substances:

Year:  2016        PMID: 26768791      PMCID: PMC5549774          DOI: 10.2217/fon.15.318

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  89 in total

Review 1.  BPH: epidemiology and comorbidities.

Authors:  Kevin T McVary
Journal:  Am J Manag Care       Date:  2006-04       Impact factor: 2.229

2.  Epithelial and stromal expression of miRNAs during prostate cancer progression.

Authors:  Qinghu Ren; Jiaqian Liang; Jianjun Wei; Olca Basturk; Jinhua Wang; Garrett Daniels; Lan Lin Gellert; Yirong Li; Ying Shen; Iman Osman; Jun Zhao; Jonathan Melamed; Peng Lee
Journal:  Am J Transl Res       Date:  2014-07-18       Impact factor: 4.060

3.  Efforts to resolve the contradictions in early diagnosis of prostate cancer: a comparison of different algorithms of sarcosine in urine.

Authors:  D-L Cao; D-W Ye; Y Zhu; H-L Zhang; Y-X Wang; X-D Yao
Journal:  Prostate Cancer Prostatic Dis       Date:  2011-02-15       Impact factor: 5.554

4.  Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression.

Authors:  Arun Sreekumar; Laila M Poisson; Thekkelnaycke M Rajendiran; Amjad P Khan; Qi Cao; Jindan Yu; Bharathi Laxman; Rohit Mehra; Robert J Lonigro; Yong Li; Mukesh K Nyati; Aarif Ahsan; Shanker Kalyana-Sundaram; Bo Han; Xuhong Cao; Jaeman Byun; Gilbert S Omenn; Debashis Ghosh; Subramaniam Pennathur; Danny C Alexander; Alvin Berger; Jeffrey R Shuster; John T Wei; Sooryanarayana Varambally; Christopher Beecher; Arul M Chinnaiyan
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

5.  Can prostate specific antigen derivatives and pathological parameters predict significant change in expectant management criteria for prostate cancer?

Authors:  Masood A Khan; H Ballentine Carter; Jonathan I Epstein; Michael C Miller; Patricia Landis; Patrick W Walsh; Alan W Partin; Robert W Veltri
Journal:  J Urol       Date:  2003-12       Impact factor: 7.450

6.  Prostate specific antigen velocity risk count predicts biopsy reclassification for men with very low risk prostate cancer.

Authors:  Hiten D Patel; Zhaoyong Feng; Patricia Landis; Bruce J Trock; Jonathan I Epstein; H Ballentine Carter
Journal:  J Urol       Date:  2013-09-20       Impact factor: 7.450

7.  Validation of a cell-cycle progression gene panel to improve risk stratification in a contemporary prostatectomy cohort.

Authors:  Matthew R Cooperberg; Jeffry P Simko; Janet E Cowan; Julia E Reid; Azita Djalilvand; Satish Bhatnagar; Alexander Gutin; Jerry S Lanchbury; Gregory P Swanson; Steven Stone; Peter R Carroll
Journal:  J Clin Oncol       Date:  2013-03-04       Impact factor: 44.544

8.  The impact of baseline [-2]proPSA-related indices on the prediction of pathological reclassification at 1 year during active surveillance for low-risk prostate cancer: the Japanese multicenter study cohort.

Authors:  Hiromi Hirama; Mikio Sugimoto; Kazuto Ito; Taizo Shiraishi; Yoshiyuki Kakehi
Journal:  J Cancer Res Clin Oncol       Date:  2013-12-19       Impact factor: 4.553

9.  A panel of kallikrein markers can reduce unnecessary biopsy for prostate cancer: data from the European Randomized Study of Prostate Cancer Screening in Göteborg, Sweden.

Authors:  Andrew J Vickers; Angel M Cronin; Gunnar Aus; Carl-Gustav Pihl; Charlotte Becker; Kim Pettersson; Peter T Scardino; Jonas Hugosson; Hans Lilja
Journal:  BMC Med       Date:  2008-07-08       Impact factor: 8.775

Review 10.  Future prospects in the diagnosis and management of localized prostate cancer.

Authors:  Ahmet Tefekli; Murat Tunc
Journal:  ScientificWorldJournal       Date:  2013-09-14
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  19 in total

1.  Analysis of differentially expressed genes, clinical value and biological pathways in prostate cancer.

Authors:  Zhaohui He; Fucai Tang; Zechao Lu; Yucong Huang; Hanqi Lei; Zhibiao Li; Guohua Zeng
Journal:  Am J Transl Res       Date:  2018-05-15       Impact factor: 4.060

2.  Prostate MRI, with or without MRI-targeted biopsy, and systematic biopsy for detecting prostate cancer.

Authors:  Frank-Jan H Drost; Daniël F Osses; Daan Nieboer; Ewout W Steyerberg; Chris H Bangma; Monique J Roobol; Ivo G Schoots
Journal:  Cochrane Database Syst Rev       Date:  2019-04-25

Review 3.  The emerging role of obesity, diet and lipid metabolism in prostate cancer.

Authors:  Matteo Ferro; Daniela Terracciano; Carlo Buonerba; Giuseppe Lucarelli; Danilo Bottero; Sisto Perdonà; Riccardo Autorino; Alessandro Serino; Francesco Cantiello; Rocco Damiano; Iulia Andras; Sabino De Placido; Giuseppe Di Lorenzo; Michele Battaglia; Barbara A Jereczek-Fossa; Vincenzo Mirone; Ottavio De Cobelli
Journal:  Future Oncol       Date:  2016-09-14       Impact factor: 3.404

4.  Structure and biochemical properties of recombinant human dimethylglycine dehydrogenase and comparison to the disease-related H109R variant.

Authors:  Peter Augustin; Altijana Hromic; Tea Pavkov-Keller; Karl Gruber; Peter Macheroux
Journal:  FEBS J       Date:  2016-10       Impact factor: 5.542

5.  Low serum total testosterone level as a predictor of upstaging and upgrading in low-risk prostate cancer patients meeting the inclusion criteria for active surveillance.

Authors:  Matteo Ferro; Giuseppe Lucarelli; Dario Bruzzese; Giuseppe Di Lorenzo; Sisto Perdonà; Riccardo Autorino; Francesco Cantiello; Roberto La Rocca; Gian Maria Busetto; Amelia Cimmino; Carlo Buonerba; Michele Battaglia; Rocco Damiano; Ottavio De Cobelli; Vincenzo Mirone; Daniela Terracciano
Journal:  Oncotarget       Date:  2017-03-14

Review 6.  Metabolomics Contributions to the Discovery of Prostate Cancer Biomarkers.

Authors:  Nuria Gómez-Cebrián; Ayelén Rojas-Benedicto; Arturo Albors-Vaquer; José Antonio López-Guerrero; Antonio Pineda-Lucena; Leonor Puchades-Carrasco
Journal:  Metabolites       Date:  2019-03-08

7.  Olfactomedin 4 downregulation is associated with tumor initiation, growth and progression in human prostate cancer.

Authors:  Hongzhen Li; Christine Kim; Wenli Liu; Jianqiong Zhu; Kay Chin; Jaime Rodriguez-Canales; Griffin P Rodgers
Journal:  Int J Cancer       Date:  2019-07-09       Impact factor: 7.396

8.  Aberrant Promoter Methylation of Protocadherin8 (PCDH8) in Serum is a Potential Prognostic Marker for Low Gleason Score Prostate Cancer.

Authors:  Ying-Li Lin; Yan-Li Li; Jian-Guo Ma
Journal:  Med Sci Monit       Date:  2017-10-13

9.  Next Generation Sequencing of urine exfoliated cells: an approach of prostate cancer microRNAs research.

Authors:  Gabriella Guelfi; Giovanni Cochetti; Valentina Stefanetti; Danilo Zampini; Silvana Diverio; Andrea Boni; Ettore Mearini
Journal:  Sci Rep       Date:  2018-05-08       Impact factor: 4.379

10.  XPC exon15 Lys939Gln variant increase susceptibility to prostate adenocarcinoma: Evidence based on 4306 patients and 4779 controls.

Authors:  Feng Qin; Sheng-Lin Gao; Kai Xu; Quan-Xin Su; Ze Zhang; Li Shi; Li-Jie Zhu; Li-Feng Zhang; Li Zuo
Journal:  Medicine (Baltimore)       Date:  2020-07-10       Impact factor: 1.817

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