Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer | Zendy

Philippe Pérot | Zendy; Valérie Cheynet | Zendy; Myriam DecaussinPetrucci | Zendy; Guy Oriol | Zendy; Nathalie Mugnier | Zendy; Claire RodriguezLafrasse | Zendy; A. Ruffion | Zendy; François Mallet | Zendy

Open Access

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Author(s) -

Philippe Pérot,

Valérie Cheynet,

Myriam DecaussinPetrucci,

Guy Oriol,

Nathalie Mugnier,

Claire RodriguezLafrasse,

A. Ruffion,

François Mallet

Publication year - 2013

Publication title -

journal of visualized experiments

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.596

H-Index - 91

ISSN - 1940-087X

DOI - 10.3791/50713

Subject(s) - biology , prostate cancer , human genome , genome , biomarker discovery , computational biology , genetics , biomarker , exon , cancer , gene , proteomics

doi:10.3791/50713 (2013). The prostate-specific antigen (PSA) is the main diagnostic biomarker for prostate cancer in clinical use, but it lacks specificity and sensitivity, particularly in low dosage values1. ‘How to use PSA ' remains a current issue, either for diagnosis as a gray zone corresponding to a concentration in serum of 2.5-10 ng/ml which does not allow a clear differentiation to be made between cancer and noncancer2 or for patient follow-up as analysis of post-operative PSA kinetic parameters can pose considerable challenges for their practical application3,4. Alternatively, noncoding RNAs (ncRNAs) are emerging as key molecules in human cancer, with the potential to serve as novel markers of disease, e.g

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