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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<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>19</Volume>
				<Issue>4</Issue>
				<PubDate PubStatus="epublish">
					<Year>2018</Year>
					<Month>04</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Identification of Key Candidate Genes and Pathways in Endometrial Cancer by Integrated Bioinformatical Analysis</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>969</FirstPage>
			<LastPage>975</LastPage>
			<ELocationID EIdType="pii">59575</ELocationID>
			
<ELocationID EIdType="doi">10.22034/APJCP.2018.19.4.969</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Lihong </FirstName>
					<LastName>Liu</LastName>

						<AffiliationInfo>
						<Affiliation>Department of Gynecological Ward, The Third Affiliated Hospital ,Jinzhou Medical University, Jinzhou, China.</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Liaoning Provincial Key Laboratory of Follicle Development and Reproductive Health (Office of Science and Technology)
, Jinzhou, China.</Affiliation>
						</AffiliationInfo>
<Identifier Source="ORCID">0000-0001-7643-4583</Identifier>

</Author>
<Author>
					<FirstName>Fangxu </FirstName>
					<LastName>Chen</LastName>
<Affiliation>Department of Gynecological Ward, The First Affiliated Hospital ,Jinzhou Medical University, Jinzhou, China.</Affiliation>

</Author>
<Author>
					<FirstName>Aihui </FirstName>
					<LastName>Xiu</LastName>
<Affiliation>Department of Gynecological Ward, The First Affiliated Hospital ,Jinzhou Medical University, Jinzhou, China.</Affiliation>

</Author>
<Author>
					<FirstName>Bo </FirstName>
					<LastName>Du</LastName>

						<AffiliationInfo>
						<Affiliation>Department of Gynecological Ward, The Third Affiliated Hospital ,Jinzhou Medical University, Jinzhou, China.</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Liaoning Provincial Key Laboratory of Follicle Development and Reproductive Health (Office of Science and Technology)
, Jinzhou, China.</Affiliation>
						</AffiliationInfo>

</Author>
<Author>
					<FirstName>Hao </FirstName>
					<LastName>Ai</LastName>

						<AffiliationInfo>
						<Affiliation>Liaoning Provincial Key Laboratory of Follicle Development and Reproductive Health (Office of Science and Technology)
, Jinzhou, China.</Affiliation>
						</AffiliationInfo>

						<AffiliationInfo>
						<Affiliation>Department of Gynecological Ward, The First Affiliated Hospital ,Jinzhou Medical University, Jinzhou, China.</Affiliation>
						</AffiliationInfo>

</Author>
<Author>
					<FirstName>Wei </FirstName>
					<LastName>Xie</LastName>
<Affiliation>Department of Gynecological Ward,Dongzhimen Hospital of Traditional Chinese Medicine,Beijing University of Chinese Medicine ,Beijing,China.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2017</Year>
					<Month>10</Month>
					<Day>14</Day>
				</PubDate>
			</History>
		<Abstract>Endometrial Cancer is the most common female genital tract malignancy, its pathogenesis is complex, not yet&lt;br /&gt;fully described. To identify key genes of Endometrial Cancer we downloaded the gene chip GSE17025 from the Gene&lt;br /&gt;Expression Omnibus database. Differentially expressed genes (DEGs) were identified through the GEO2R analysis&lt;br /&gt;tool. Functional and pathway enrichment analysis were performed for DEGs using DAVID database. The network of&lt;br /&gt;protein–protein-interaction (PPI) was established by STRING website and visualized by Cytoscape. Then, functional&lt;br /&gt;and pathway enrichment analysis of DEGS were performed by DAVID database. A total of 1000 significant differences&lt;br /&gt;genes were obtained, contain 362 up-regulated genes and 638 down-regulated genes. PCDH10, SLC6A2, OGN,&lt;br /&gt;SFRP4, TRH, ANGPTL, FOSB are down-regulated genes. The gene of IGH, CCL20, ELF5, LTF, ASPM expression&lt;br /&gt;level in tumor patients are up-regulated. Biological function of enrichment include metabolism of xenobiotics by&lt;br /&gt;cytochrome P450, MAPK signaling pathway, Serotonergic synapse, Protein digestion and absorption, IL-17 signaling&lt;br /&gt;pathway, Chemokine signaling pathway, HIF-1 signaling pathway, p53 signaling pathway. All in all, the current study&lt;br /&gt;to determine endometrial differentially expressed genes and biological function, comprehensive analysis of intrauterine&lt;br /&gt;membrane carcinoma pathogenesis mechanism, and might be used as molecular targets and diagnostic biomarkers for&lt;br /&gt;the treatment of endometrial cancer.</Abstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Endometrial cancer</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">bioinformatical analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">differentially expressed genes</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">functional enrichment analysis . protein–protein interaction</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://journal.waocp.org/article_59575_3450d0036d9de8c98bed7543df9d72c5.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
