Literature DB >> 28521441

The context of prostate cancer genomics in personalized medicine.

Yanling Liu1.   

Abstract

Prostate cancer is one of the most common types of cancer in males. Heterogeneous genomic aberrations may lead to prostate cancer onset, progression and metastasis. This heterogeneity also contributes to the variety in cancer risk and outcomes, different drug responses and progression, observed between individual patients. Classical prognostic factors, including prostate-specific antigen, Gleason Score and clinical tumor staging, are not sufficient to portray the complexity of a clinically relevant cancer diagnosis, risk prognosis, treatment choice and therapy monitoring. There is a requirement for novel genetic biomarkers in order to understand the oncogenic heterogeneity in a patient-personalized clinical setting and to improve the efficacy of risk prognosis and treatment choice. A number of biomarkers and gene panels have been established from patient sample cohort studies. These previous studies have provided distinct information to the investigation of heterogeneous malignancy in prostate cancer, which aids in clinical decision-making. Biomarker-guided therapies may facilitate the effective selection of drugs during early treatment; therefore, are beneficial to the individual patient. A non-invasive approach allows for convenient and repeated sampling to screen for cancer and monitor treatment response without the requirement for invasive tissue biopsies. With the current availability of numerous advanced technologies, reliable detection of the minimal tumor residues present following treatment may become clinical practice and, therefore, inform further in the field of personalized medicine.

Entities:  

Keywords:  cancer detection; genetic biomarker; genomic heterogeneity; non-invasive test; prostate cancer; risk prognosis; treatment prediction

Year:  2017        PMID: 28521441      PMCID: PMC5431214          DOI: 10.3892/ol.2017.5911

Source DB:  PubMed          Journal:  Oncol Lett        ISSN: 1792-1074            Impact factor:   2.967


  78 in total

1.  Characterization of fusion genes and the significantly expressed fusion isoforms in breast cancer by hybrid sequencing.

Authors:  Jason L Weirather; Pegah Tootoonchi Afshar; Tyson A Clark; Elizabeth Tseng; Linda S Powers; Jason G Underwood; Joseph Zabner; Jonas Korlach; Wing Hung Wong; Kin Fai Au
Journal:  Nucleic Acids Res       Date:  2015-06-03       Impact factor: 16.971

2.  Prognostic value of an RNA expression signature derived from cell cycle proliferation genes in patients with prostate cancer: a retrospective study.

Authors:  Jack Cuzick; Gregory P Swanson; Gabrielle Fisher; Arthur R Brothman; Daniel M Berney; Julia E Reid; David Mesher; V O Speights; Elzbieta Stankiewicz; Christopher S Foster; Henrik Møller; Peter Scardino; Jorja D Warren; Jimmy Park; Adib Younus; Darl D Flake; Susanne Wagner; Alexander Gutin; Jerry S Lanchbury; Steven Stone
Journal:  Lancet Oncol       Date:  2011-03       Impact factor: 41.316

Review 3.  Evolving standards in the treatment of docetaxel-refractory castration-resistant prostate cancer.

Authors:  E S Antonarakis; A J Armstrong
Journal:  Prostate Cancer Prostatic Dis       Date:  2011-05-17       Impact factor: 5.554

Review 4.  Treatment of mCRPC in the AR-axis-targeted therapy-resistant state.

Authors:  K Chi; S J Hotte; A M Joshua; S North; A W Wyatt; L L Collins; F Saad
Journal:  Ann Oncol       Date:  2015-06-22       Impact factor: 32.976

Review 5.  Role of epithelial mesenchymal transition in prostate tumorigenesis.

Authors:  Mohammad Imran Khan; Abid Hamid; Vaqar Mustafa Adhami; Rahul K Lall; Hasan Mukhtar
Journal:  Curr Pharm Des       Date:  2015       Impact factor: 3.116

Review 6.  New biomarkers in prostate cancer.

Authors:  E David Crawford; Karen Ventii; Neal D Shore
Journal:  Oncology (Williston Park)       Date:  2014-02       Impact factor: 2.990

Review 7.  ETS transcription factors and prostate cancer: the role of the family prototype ETS-1 (review).

Authors:  David Adler; Nicolas Wernert
Journal:  Int J Oncol       Date:  2012-02-21       Impact factor: 5.650

8.  SPOP mutation leads to genomic instability in prostate cancer.

Authors:  Gunther Boysen; Christopher E Barbieri; Davide Prandi; Mirjam Blattner; Sung-Suk Chae; Arun Dahija; Srilakshmi Nataraj; Dennis Huang; Clarisse Marotz; Limei Xu; Julie Huang; Paola Lecca; Sagar Chhangawala; Deli Liu; Pengbo Zhou; Andrea Sboner; Johann S de Bono; Francesca Demichelis; Yariv Houvras; Mark A Rubin
Journal:  Elife       Date:  2015-09-16       Impact factor: 8.140

Review 9.  Evaluation of prostate cancer antigen 3 for detecting prostate cancer: a systematic review and meta-analysis.

Authors:  Yong Cui; Wenzhou Cao; Quan Li; Hua Shen; Chao Liu; Junpeng Deng; Jiangfeng Xu; Qiang Shao
Journal:  Sci Rep       Date:  2016-05-10       Impact factor: 4.379

10.  Coordinate hypermethylation at specific genes in prostate carcinoma precedes LINE-1 hypomethylation.

Authors:  A R Florl; C Steinhoff; M Müller; H-H Seifert; C Hader; R Engers; R Ackermann; W A Schulz
Journal:  Br J Cancer       Date:  2004-08-31       Impact factor: 7.640

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  2 in total

1.  Prognostic value of serum alkaline phosphatase in the survival of prostate cancer: evidence from a meta-analysis.

Authors:  Dongyang Li; Hang Lv; Xuanyu Hao; Bin Hu; Yongsheng Song
Journal:  Cancer Manag Res       Date:  2018-08-30       Impact factor: 3.989

2.  lncRNA ZFAS1 Is Involved in the Proliferation, Invasion and Metastasis of Prostate Cancer Cells Through Competitively Binding to miR-135a-5p.

Authors:  Jiaqiang Pan; Xingyan Xu; Guangliang Wang
Journal:  Cancer Manag Res       Date:  2020-02-13       Impact factor: 3.989

  2 in total

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