Identification of novel cell glycolysis related gene signature predicting survival in patients with endometrial cancer
Abstract Background Endometrial cancer (EC) is one of the three major gynecological malignancies. Numerous biomarkers that may be associated with survival and prognosis have been identified through database mining in previous studies. However, the predictive ability of single-gene biomarkers is not...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-11-01
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Series: | Cancer Cell International |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12935-019-1001-0 |