Literature DB >> 30215331

Novel Diagnostic Biomarkers of Prostate Cancer: An Update.

Umberto Anceschi1, Gabriele Tuderti1, Franco Lugnani2, Pier Mario Biava3, Gianni Malossini4, Lorenzo Luciani4, Tommaso Cai4, Davide Marsiliani4, Alessio Filianoti5, Daniele Mattevi4, Manuela Costantini1, Leonardo Misuraca1, Giuseppe Simone1.   

Abstract

OBJECTIVE: In recent years, several biomarkers alternative to standard prostate specific antigen (PSA) for prostate cancer (PCa) diagnosis have become available. The aim of this systematic review is to assess the current knowledge about alternative serum and urinary biomarkers for the diagnosis of PCa.
MATERIAL AND METHODS: A research was conducted in Medline, restricted to English language articles published between December 2014 and June 2018 with the aim to update previously published series on PCa biomarkers. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) criteria were used for selecting studies with the lowest risk of bias.
RESULTS: Emerging role and actual controversies on serum and urine alternative biomarkers to standard PSA for PCa diagnosis, staging and prognosis assessment, such as prostate health index (PHI), PCA3, ConfirmMDx, Aberrant PSA glycosylation, MiPS, miRNAs are critically presented in the current review.
CONCLUSION: Although the use of several biomarkers has been recommended or questioned by different international guidelines, larger prospective randomized studies are still necessary to validate their efficacy in PCa detection, discrimination, prognosis and treatment effectiveness. To date, only PHI and 4Kscore have shown clinical relevance for discriminating more aggressive PCa. Furthermore, a new grading classification based on molecular features relevant for PCa risk-stratification and tailoring treatment is still needed. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Biomarkers; diagnosis; prognosis; prostate cancer; serum; urine.

Mesh:

Substances:

Year:  2019        PMID: 30215331     DOI: 10.2174/0929867325666180914115416

Source DB:  PubMed          Journal:  Curr Med Chem        ISSN: 0929-8673            Impact factor:   4.530


  10 in total

Review 1.  Prostate-specific antigen glycoprofiling as diagnostic and prognostic biomarker of prostate cancer.

Authors:  Jan Tkac; Veronika Gajdosova; Stefania Hroncekova; Tomas Bertok; Michal Hires; Eduard Jane; Lenka Lorencova; Peter Kasak
Journal:  Interface Focus       Date:  2019-02-15       Impact factor: 3.906

2.  Urinary microRNA-1913 to microRNA-3659 expression ratio as a non-invasive diagnostic biomarker for prostate cancer.

Authors:  Young Joon Byun; Xuan Mei Piao; Pildu Jeong; Ho Won Kang; Sung Phil Seo; Sung Kwon Moon; Jong Young Lee; Yung Hyun Choi; Hee Youn Lee; Won Tae Kim; Sang Cheol Lee; Eun Jong Cha; Seok Joong Yun; Wun Jae Kim
Journal:  Investig Clin Urol       Date:  2021-03-16

3.  An Ultra-Rapid Biosensory Point-of-Care (POC) Assay for Prostate-Specific Antigen (PSA) Detection in Human Serum.

Authors:  Sophie Mavrikou; Georgia Moschopoulou; Athanasios Zafeirakis; Konstantina Kalogeropoulou; Georgios Giannakos; Athanasios Skevis; Spyridon Kintzios
Journal:  Sensors (Basel)       Date:  2018-11-08       Impact factor: 3.576

4.  Expression of AR-V7 (Androgen Receptor Variant 7) Protein in Granular Cytoplasmic Structures Is an Independent Prognostic Factor in Prostate Cancer Patients.

Authors:  Paul König; Markus Eckstein; Rudolf Jung; Amer Abdulrahman; Juan Guzman; Katrin Weigelt; Ginette Serrero; Jun Hayashi; Carol Geppert; Robert Stöhr; Arndt Hartmann; Bernd Wullich; Sven Wach; Helge Taubert; Verena Lieb
Journal:  Cancers (Basel)       Date:  2020-09-16       Impact factor: 6.639

5.  LMTK2 as Potential Biomarker for Stratification between Clinically Insignificant and Clinically Significant Prostate Cancer.

Authors:  Alvydas Vezelis; Julija Simiene; Daiva Dabkeviciene; Marius Kincius; Albertas Ulys; Kestutis Suziedelis; Sonata Jarmalaite; Feliksas Jankevicius
Journal:  J Oncol       Date:  2021-01-05       Impact factor: 4.375

Review 6.  The Potential Diagnostic and Prognostic Value of Circulating MicroRNAs in the Assessment of Patients With Prostate Cancer: Rational and Progress.

Authors:  Elham Samami; Ghazaleh Pourali; Mahla Arabpour; Azar Fanipakdel; Soodabeh Shahidsales; Seyed Alireza Javadinia; Seyed Mahdi Hassanian; Saeid Mohammadparast; Amir Avan
Journal:  Front Oncol       Date:  2022-02-04       Impact factor: 6.244

7.  A Novel Nomogram Based on Initial Features to Predict BPH Progression.

Authors:  Lorenzo G Luciani; Daniele Mattevi; Daniele Ravanelli; Umberto Anceschi; Guido Giusti; Tommaso Cai; Umberto Rozzanigo
Journal:  Int J Environ Res Public Health       Date:  2022-08-08       Impact factor: 4.614

8.  Expression of GP88 (Progranulin) Protein Is an Independent Prognostic Factor in Prostate Cancer Patients.

Authors:  Amer Abdulrahman; Markus Eckstein; Rudolf Jung; Juan Guzman; Katrin Weigelt; Ginette Serrero; Binbin Yue; Carol Geppert; Robert Stöhr; Arndt Hartmann; Bernd Wullich; Sven Wach; Helge Taubert; Verena Lieb
Journal:  Cancers (Basel)       Date:  2019-12-16       Impact factor: 6.639

Review 9.  Clinical utility of current biomarkers for prostate cancer detection.

Authors:  Jeong Hyun Kim; Sung Kyu Hong
Journal:  Investig Clin Urol       Date:  2021-01

10.  CALCB rs3829222 T/T Genotype and Low Expression of CALCB Are High-Risk Factors for Adenoid Cystic Carcinoma of Salivary Gland.

Authors:  Chaobin Dai; Bin Zhang; Yunyang Liao; Qicai Liu; Feiguang Wu; Xiaoting Lv; Kai Zeng; Xiaofeng Zhu
Journal:  Dis Markers       Date:  2021-06-12       Impact factor: 3.434

  10 in total

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