Literature DB >> 26548550

Prognostic and predictive biomarkers in prostate cancer.

Christos K Kontos1, Panagiotis G Adamopoulos1, Andreas Scorilas1.   

Abstract

Prostate cancer (PCa) is one of the leading causes of cancer death among males, especially in more developed countries. Diagnosis is often achieved at an early stage of the disease with prostate biopsy, following a screening test showing elevated serum levels of prostate-specific antigen or a positive digital rectal examination. Early detection of PCa has led to a substantial decline in the number of metastatic patients. However, the prostate-specific antigen screening test has proved to be a double-edged sword so far, as it also accounts for PCa overdiagnosis. Due to the variability of PCa features, accurate prognosis of PCa patients is very important for determining treatment options. Therefore, this review focuses on the most promising prognostic and predictive biomarkers in PCa, which are likely to play a pivotal role, alone or in panels, in the personalized medicine era that has recently emerged.

Entities:  

Keywords:  Androgen receptor; KLK; PCA3; PSA; kallikrein-related peptidase; miRNA; prognosis; prostate carcinoma; prostate-specific antigen; tumor marker

Mesh:

Substances:

Year:  2015        PMID: 26548550     DOI: 10.1586/14737159.2015.1110022

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  10 in total

1.  Alternative Splicing Detection Tool-a novel PERL algorithm for sensitive detection of splicing events, based on next-generation sequencing data analysis.

Authors:  Panagiotis G Adamopoulos; Margarita C Theodoropoulou; Andreas Scorilas
Journal:  Ann Transl Med       Date:  2018-06

Review 2.  Non-coding RNAs: the riddle of the transcriptome and their perspectives in cancer.

Authors:  Marios A Diamantopoulos; Panagiotis Tsiakanikas; Andreas Scorilas
Journal:  Ann Transl Med       Date:  2018-06

3.  Elevated Serum PSA is Associated With Human Herpesvirus 8 Infection and Increased Circulating Cytokine Levels in Men From Tobago.

Authors:  Jill D Henning; Jaideep M Karamchandani; Luis A Bonachea; Clareann H Bunker; Alan L Patrick; Frank J Jenkins
Journal:  Prostate       Date:  2017-01-24       Impact factor: 4.104

4.  High Expression of a tRNAPro Derivative Associates with Poor Survival and Independently Predicts Colorectal Cancer Recurrence.

Authors:  Panagiotis Tsiakanikas; Panagiotis G Adamopoulos; Dimitra Tsirba; Pinelopi I Artemaki; Iordanis N Papadopoulos; Christos K Kontos; Andreas Scorilas
Journal:  Biomedicines       Date:  2022-05-12

5.  Quantitative analysis and study of the mRNA expression levels of apoptotic genes BCL2, BAX and BCL2L12 in the articular cartilage of an animal model of osteoarthritis.

Authors:  Aristotelis Kourtis; Panagiotis G Adamopoulos; Apostolos Papalois; Dimitrios C Iliopoulos; George C Babis; Andreas Scorilas
Journal:  Ann Transl Med       Date:  2018-06

Review 6.  Splice Variants of Androgen Receptor and Prostate Cancer.

Authors:  Orazio Caffo; Francesca Maines; Antonello Veccia; Stefania Kinspergher; Enzo Galligioni
Journal:  Oncol Rev       Date:  2016-05-30

7.  Insulin-like growth factor 1 receptor affects the survival of primary prostate cancer patients depending on TMPRSS2-ERG status.

Authors:  Caterina Mancarella; Irene Casanova-Salas; Ana Calatrava; Maria García-Flores; Cecilia Garofalo; Andrea Grilli; José Rubio-Briones; Katia Scotlandi; José Antonio López-Guerrero
Journal:  BMC Cancer       Date:  2017-05-25       Impact factor: 4.430

8.  Liquid Biopsy to Detect DNA/RNA Based Markers of Small DNA Oncogenic Viruses for Prostate Cancer Diagnosis, Prognosis, and Prediction.

Authors:  Maurizio Provenzano; Abdou Kamal Allayeh
Journal:  Front Oncol       Date:  2020-07-08       Impact factor: 6.244

9.  Prognostic value and potential function of splicing events in prostate adenocarcinoma.

Authors:  Zhi-Guang Huang; Rong-Quan He; Zeng-Nan Mo
Journal:  Int J Oncol       Date:  2018-09-17       Impact factor: 5.650

10.  A four-gene signature associated with clinical features can better predict prognosis in prostate cancer.

Authors:  Penghui Yuan; Le Ling; Qing Fan; Xintao Gao; Taotao Sun; Jianping Miao; Xianglin Yuan; Jihong Liu; Bo Liu
Journal:  Cancer Med       Date:  2020-09-13       Impact factor: 4.452

  10 in total

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