<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>20(1)</volume><submitter>Sun Y</submitter><pubmed_abstract>Ovarian cancer is one of the three major gynecologic cancers in the world. The aim of this study is to find the</pubmed_abstract><journal>Asian Pacific journal of cancer prevention : APJCP</journal><pagination>145-155</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6485580</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Identification of Key Candidate Genes and Pathways for Relationship between Ovarian Cancer and Diabetes Mellitus Using Bioinformatical Analysis</pubmed_title><pmcid>PMC6485580</pmcid><pubmed_authors>Peipei Y</pubmed_authors><pubmed_authors>Xiaoyan H</pubmed_authors><pubmed_authors>Liu Y</pubmed_authors><pubmed_authors>Junjun P</pubmed_authors><pubmed_authors>Yun L</pubmed_authors><pubmed_authors>Yuanming L</pubmed_authors><pubmed_authors>Yingqi Z</pubmed_authors><pubmed_authors>Jialing W</pubmed_authors><pubmed_authors>Chaoqun L</pubmed_authors><pubmed_authors>Sun Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Identification of Key Candidate Genes and Pathways for Relationship between Ovarian Cancer and Diabetes Mellitus Using Bioinformatical Analysis</name><description>Ovarian cancer is one of the three major gynecologic cancers in the world. The aim of this study is to find the</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Jan</publication><modification>2025-04-04T22:18:41.605Z</modification><creation>2025-04-04T22:18:41.605Z</creation></dates><accession>S-EPMC6485580</accession><cross_references><pubmed>30678426</pubmed><doi>10.31557/APJCP.2019.20.1.145</doi></cross_references></HashMap>