Identification of EMT-Related Gene Signatures to Predict the Prognosis of Patients With Endometrial Cancer.
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| Title: | Identification of EMT-Related Gene Signatures to Predict the Prognosis of Patients With Endometrial Cancer. |
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| Authors: | Cai L; Department of Obstetrics and Gynecology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Hu C; Department of Orthopaedic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China., Yu S; Department of Chemoradiation Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Liu L; Department of Obstetrics and Gynecology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Zhao J; Department of Obstetrics and Gynecology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Zhao Y; Department of Obstetrics and Gynecology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Lin F; Department of Dermatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Du X; Department of Chemoradiation Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Yu Q; Department of Chemoradiation Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China., Xiao Q; Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. |
| Source: | Frontiers in genetics [Front Genet] 2020 Dec 02; Vol. 11, pp. 582274. Date of Electronic Publication: 2020 Dec 02 (Print Publication: 2020). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101560621 Publication Model: eCollection Cited Medium: Print ISSN: 1664-8021 (Print) Linking ISSN: 16648021 NLM ISO Abbreviation: Front Genet Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-8021 |
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| DOI: | 10.3389/fgene.2020.582274 |
