<ArticleSet>
<Article>
<Journal>
<PublisherName>Pakistan Society for Gene and Cell Therapy</PublisherName>
<JournalTitle>Journal of Genes and Cells</JournalTitle>
<Issn>2410-6887</Issn>
<Volume>1</Volume>
<Issue>4</Issue>
<PubDate>
<Year>2015</Year>
<Month>10</Month>
<Day>02</Day>
</PubDate>
</Journal>
<ArticleTitle>MicroRNAs and Prostate Cancer Detection: A Continous Quest</ArticleTitle>
<FirstPage>73</FirstPage>
<LastPage>75</LastPage>
<ELocationID>10.15562/gnc.30</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Muhammad</FirstName>
<LastName>Ali</LastName>
<Affiliation>University of Lahore. mali855@yahoo.com</Affiliation>
</Author>
</AuthorList>
<History>
<PubDate>
<Year>2016</Year>
<Month>01</Month>
<Day>15</Day>
</PubDate>
<PubDate>
<Year>2016</Year>
<Month>01</Month>
<Day>15</Day>
</PubDate>
</History>
<Abstract>Prostate cancer is one of the deadliest male malignancy in the worldwide. It has been estimated that 1.1 million cases of prostate cancer were diagnosed in 2012 and within coming 10 years, the prostate cancer cases will be increased by 15 per cent in men. The multifaceted molecular anomaly of prostate cancer has confronted it from being dated owing to the orchestrated carcinogenic functions of negative regulators which work in a network. An as yet blurred view of therapeutic interventions of prostate cancer has been acknowledged, resulting from the addition of substantial fraction of information. Prostate-specific antigen (PSA) screening is currently known as a method for early detection of prostate cancer but its validity as prostate cancer biomarker is still controversial. Information obtained from the sequencing data of prostate cancer tissue biopsy, it has been described that non-coding RNAs such as microRNAs are good source of information to detect the prostate cancer. This information can be used to detect, predict metastatic state and even the state of prostate cancer progression. In this commentary, the role of microRNAs has been discussed in prostate cancer detection. </Abstract>
</Article>
</ArticleSet>
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