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<ArticleSet>
<Article>
<Journal>
				<PublisherName>West Asia Organization for Cancer Prevention (WAOCP), APOCP's West Asia Chapter.</PublisherName>
				<JournalTitle>Asian Pacific Journal of Cancer Prevention</JournalTitle>
				<Issn>1513-7368</Issn>
				<Volume>20</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2019</Year>
					<Month>01</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Identification of Key Candidate Genes and Pathways for Relationship between Ovarian Cancer and Diabetes Mellitus Using Bioinformatical Analysis</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>145</FirstPage>
			<LastPage>155</LastPage>
			<ELocationID EIdType="pii">81666</ELocationID>
			
<ELocationID EIdType="doi">10.31557/APJCP.2019.20.1.145</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Yi </FirstName>
					<LastName>Sun</LastName>
<Affiliation>Department of Toxicology, Guilin Medical University School of Public Health, Guilin, China.</Affiliation>

</Author>
<Author>
					<FirstName>Huang </FirstName>
					<LastName>Xiaoyan</LastName>
<Affiliation>Department of Toxicology, Guilin Medical University School of Public Health, Guilin, China.</Affiliation>

</Author>
<Author>
					<FirstName>Liu </FirstName>
					<LastName>Yun</LastName>
<Affiliation>Department of Gynaecology and Obstetrics,
Kailuan General Hospital, Tangshan, Hebei, China.</Affiliation>

</Author>
<Author>
					<FirstName>Liu </FirstName>
					<LastName>Chaoqun</LastName>
<Affiliation>Department of Nutrition, School of Medicine, Jinan University, Guangzhou,
Guangdong, China.</Affiliation>

</Author>
<Author>
					<FirstName>Wen </FirstName>
					<LastName>Jialing</LastName>
<Affiliation>Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun
Yat-sen University, Guangzhou, China.</Affiliation>

</Author>
<Author>
					<FirstName>Yang </FirstName>
					<LastName>Liu</LastName>
<Affiliation>Department of Toxicology, Guilin Medical University School of Public Health, Guilin, China.</Affiliation>

</Author>
<Author>
					<FirstName>Zhao </FirstName>
					<LastName>Yingqi</LastName>
<Affiliation>Department of Toxicology, Guilin Medical University School of Public Health, Guilin, China.</Affiliation>

</Author>
<Author>
					<FirstName>Yi </FirstName>
					<LastName>Peipei</LastName>
<Affiliation>Department of Toxicology, Guilin Medical University School of Public Health, Guilin, China.</Affiliation>

</Author>
<Author>
					<FirstName>Peng </FirstName>
					<LastName>Junjun</LastName>
<Affiliation>Department of Toxicology, Guilin Medical University School of Public Health, Guilin, China.</Affiliation>

</Author>
<Author>
					<FirstName>Lu </FirstName>
					<LastName>Yuanming</LastName>
<Affiliation>Department of Toxicology, Guilin Medical University School of Public Health, Guilin, China.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2018</Year>
					<Month>06</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract>Ovarian cancer is one of the three major gynecologic cancers in the world. The aim of this study is to find the&lt;br /&gt;relationship between ovarian cancer and diabetes mellitus by using the genetic screening technique. By GEO database&lt;br /&gt;query and related online tools of analysis, we analyzed 185 cases of ovarian cancer and 10 control samples from&lt;br /&gt;GSE26712, and a total of 379 different genes were identified, including 104 up-regulated genes and 275 down-regulated&lt;br /&gt;genes. The up-regulated genes were mainly enriched in biological processes, including cell adhesion, transcription of&lt;br /&gt;nucleic acid and biosynthesis, and negative regulation of cell metabolism. The down-regulated genes were enriched in&lt;br /&gt;cell proliferation, migration, angiogenesis and macromolecular metabolism. Protein-protein interaction was analyzed&lt;br /&gt;by network diagram and module synthesis analysis. The top ten hub genes (CDC20, H2AFX, ENO1, ACTB, ISG15,&lt;br /&gt;KAT2B, HNRNPD, YWHAE, GJA1 and CAV1) were identified, which play important roles in critical signaling&lt;br /&gt;pathways that regulate the process of oxidation-reduction reaction and carboxylic acid metabolism. CTD analysis&lt;br /&gt;showed that the hub genes were involved in 1,128 distinct diseases (bonferroni-corrected P&lt;0.05). Further analysis by&lt;br /&gt;drawing the Kaplan-Meier survival curve indicated that CDC20 and ISG15 were statistically significant (P&lt;0.05). In&lt;br /&gt;conclusion, glycometabolism was related to ovarian cancer and genes and proteins in glycometabolism could serve as&lt;br /&gt;potential targets in ovarian cancer treatment.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Bioinformatics analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Microarray</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ovarian Cancer</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Diabetes Mellitus</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://journal.waocp.org/article_81666_21ec5aabfa24eba655698d1694814448.pdf</ArchiveCopySource>
</Article>
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