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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Isfahan University of Medical Sciences</PublisherName>
				<JournalTitle>Journal of Isfahan Medical School</JournalTitle>
				<Issn>1027-7595</Issn>
				<Volume>40</Volume>
				<Issue>677</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>08</Month>
					<Day>23</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Evaluation of Long Noncoding RNA-NORAD in Breast Tumor Tissues of Iranian Women</ArticleTitle>
<VernacularTitle>Evaluation of Long Noncoding RNA-NORAD in Breast Tumor Tissues of Iranian Women</VernacularTitle>
			<FirstPage>467</FirstPage>
			<LastPage>473</LastPage>
			<ELocationID EIdType="pii">26122</ELocationID>
			
<ELocationID EIdType="doi">10.48305/jims.v40.i677.0467</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Gazal</FirstName>
					<LastName>Orak</LastName>
<Affiliation>MSc Student of Clinical Biochemistry, Department of Clinical Biochemistry, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-0054-2702</Identifier>

</Author>
<Author>
					<FirstName>Maryam</FirstName>
					<LastName>Cheraghzadeh</LastName>
<Affiliation>Assistant Professor, Department of Clinical Biochemistry, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-5271-0181</Identifier>

</Author>
<Author>
					<FirstName>Fatemeh</FirstName>
					<LastName>Maghsoodi</LastName>
<Affiliation>MSc of Biostatistics, Department of Public Health, School of Health, Abadan University of Medical Sciences, Abadan, Iran</Affiliation>
<Identifier Source="ORCID">0000-0003-2508-3212</Identifier>

</Author>
<Author>
					<FirstName>Fereshteh</FirstName>
					<LastName>Ameli</LastName>
<Affiliation>Assistant Professor, Department of Pathology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran</Affiliation>
<Identifier Source="ORCID">0000-0001-7441-7675</Identifier>

</Author>
<Author>
					<FirstName>Maryam</FirstName>
					<LastName>Adelipour</LastName>
<Affiliation>Assistant Professor, Department of Clinical Biochemistry, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran</Affiliation>
<Identifier Source="ORCID">0000-0002-5670-3595</Identifier>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>08</Month>
					<Day>27</Day>
				</PubDate>
			</History>
		<Abstract>&lt;strong&gt;Background:&lt;/strong&gt;&lt;em&gt; &lt;/em&gt;Breast cancer is the leading cause of cancer death for women worldwide. Identification of novel molecular markers that are involved in tumor development has allowed cancer diagnosis, targeted therapy and monitoring the response to cancer treatment. Long non-coding RNAs (lncRNAs) are involved in the regulation of various cellular processes, including chromosome transcription and remodeling. This study aimed to investigate the expression and significance of long noncoding RNA NORAD (Non-Coding RNA Activated by DNA Damage) (lncRNA-NORAD) in breast cancer.
&lt;strong&gt;Methods:&lt;/strong&gt;&lt;strong&gt; &lt;/strong&gt;Breast cancer samples were obtained from Iran National Tumor bank. Total RNA was extracted from each sample and then treated with DNase. Q-PCR was used to detect the mRNA expression of lncRNA-NORAD in breast cancer and adjacent noncancerous tissues as respective controls.
&lt;strong&gt;Findings:&lt;/strong&gt;&lt;strong&gt; &lt;/strong&gt;Analysis of Real Time-PCR data showed that NORAD gene expression increased significantly in the breast tumor tissues compared to adjacent noncancerous tissues (P &lt; 0.05).
&lt;strong&gt;Conclusion:&lt;/strong&gt; Since the expression of lncRNA-NORAD gene is increased in breast tumor tissues compared to the normal tissue adjacent to the tumor, this gene can be considered as a suitable biomarker for breast cancer.</Abstract>
			<OtherAbstract Language="FA">&lt;strong&gt;Background:&lt;/strong&gt;&lt;em&gt; &lt;/em&gt;Breast cancer is the leading cause of cancer death for women worldwide. Identification of novel molecular markers that are involved in tumor development has allowed cancer diagnosis, targeted therapy and monitoring the response to cancer treatment. Long non-coding RNAs (lncRNAs) are involved in the regulation of various cellular processes, including chromosome transcription and remodeling. This study aimed to investigate the expression and significance of long noncoding RNA NORAD (Non-Coding RNA Activated by DNA Damage) (lncRNA-NORAD) in breast cancer.
&lt;strong&gt;Methods:&lt;/strong&gt;&lt;strong&gt; &lt;/strong&gt;Breast cancer samples were obtained from Iran National Tumor bank. Total RNA was extracted from each sample and then treated with DNase. Q-PCR was used to detect the mRNA expression of lncRNA-NORAD in breast cancer and adjacent noncancerous tissues as respective controls.
&lt;strong&gt;Findings:&lt;/strong&gt;&lt;strong&gt; &lt;/strong&gt;Analysis of Real Time-PCR data showed that NORAD gene expression increased significantly in the breast tumor tissues compared to adjacent noncancerous tissues (P &lt; 0.05).
&lt;strong&gt;Conclusion:&lt;/strong&gt; Since the expression of lncRNA-NORAD gene is increased in breast tumor tissues compared to the normal tissue adjacent to the tumor, this gene can be considered as a suitable biomarker for breast cancer.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Biomarkers</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Breast Neoplasms</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Long Noncoding RNA</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Gene Expression</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">NORAD</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jims.mui.ac.ir/article_26122_8da841c8feca719f04ae6ec316aaf361.pdf</ArchiveCopySource>
</Article>
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