Literature DB >> 20014923

Putative molecular signatures for the imaging of prostate cancer.

Yongliang Yang S1, James Adelstein, Amin I Kassis.   

Abstract

Prostate cancer is the most common cancer among men worldwide and is the second leading cause of death among those over 50 years of age in the USA. However, many men who develop a prostate tumor never exhibit symptoms in the early stage of the disease or even before it spreads to other parts of the body, such as bones and lymph nodes. Therefore, the successful prevention and treatment of prostate cancer relies on the early and accurate detection of the disease. Although prostate-specific antigen has been extensively used as a serum biomarker to detect prostate tumors in the past 20 years, this screening method has suffered from a lack of specificities and sensitivities, despite its wide use. Furthermore, fluorine-18-labeled fluorodeoxyglucose, a radiopharmaceutical useful in the detection (using PET) of various solid tumors, is not accurate for imaging cancer of the prostate. Therefore, there is an underlying necessity to discover upregulated tumor-specific markers that may serve as molecular targets for the imaging of prostate cancer. This review summarizes the most recent advances made in the discovery of tumor-specific signatures that could be useful for imaging and accurate detection of prostate cancer, using the tools of bioinformatics, genomics, proteomics and metabolomics approaches. Also introduced is the recent development of a few promising techniques, such as functional MRI, to facilitate the detection of prostate tumor signatures.

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Year:  2010        PMID: 20014923     DOI: 10.1586/erm.09.73

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


  8 in total

Review 1.  NMR-based metabolomics studies of human prostate cancer tissue.

Authors:  Ana Rita Lima; Joana Pinto; Maria de Lourdes Bastos; Márcia Carvalho; Paula Guedes de Pinho
Journal:  Metabolomics       Date:  2018-06-18       Impact factor: 4.290

2.  Analyzing LC/MS metabolic profiling data in the context of existing metabolic networks.

Authors:  Tianwei Yu; Yun Bai
Journal:  Curr Metabolomics       Date:  2013-01-01

Review 3.  Circulating tumor cells as biomarkers in prostate cancer.

Authors:  Daniel C Danila; Martin Fleisher; Howard I Scher
Journal:  Clin Cancer Res       Date:  2011-06-15       Impact factor: 12.531

4.  Metabolomics: a novel approach to early and noninvasive prostate cancer detection.

Authors:  Matthew J Roberts; Horst J Schirra; Martin F Lavin; Robert A Gardiner
Journal:  Korean J Urol       Date:  2011-02-19

5.  Current prostate biopsy protocols cannot reliably identify patients for focal therapy: correlation of low-risk prostate cancer on biopsy with radical prostatectomy findings.

Authors:  Philip Quann; David F Jarrard; Wei Huang
Journal:  Int J Clin Exp Pathol       Date:  2010-03-30

6.  The discovery of putative urine markers for the specific detection of prostate tumor by integrative mining of public genomic profiles.

Authors:  Min Chen; Kai Wang; Liang Zhang; Cheng Li; Yongliang Yang
Journal:  PLoS One       Date:  2011-12-16       Impact factor: 3.240

7.  Heterobivalent agents targeting PSMA and integrin-αvβ3.

Authors:  Hassan M Shallal; Il Minn; Sangeeta R Banerjee; Ala Lisok; Ronnie C Mease; Martin G Pomper
Journal:  Bioconjug Chem       Date:  2014-01-22       Impact factor: 4.774

8.  Genotyping analysis and ¹⁸FDG uptake in breast cancer patients: a preliminary research.

Authors:  Valentina Bravatà; Alessandro Stefano; Francesco P Cammarata; Luigi Minafra; Giorgio Russo; Stefania Nicolosi; Sabina Pulizzi; Cecilia Gelfi; Maria C Gilardi; Cristina Messa
Journal:  J Exp Clin Cancer Res       Date:  2013-04-30
  8 in total

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