Cargando…
Metabolic profiling and novel plasma biomarkers for predicting survival in epithelial ovarian cancer
Epithelial ovarian cancer (EOC) is one of the most lethal gynecological malignancies around the world, and patients with ovarian cancer always have an extremely poor chance of survival. Therefore, it is meaningful to develop a highly efficient model that can predict the overall survival for EOC. In...
Autores principales: | Xie, Hongyu, Hou, Yan, Cheng, Jinlong, Openkova, Margarita S., Xia, Bairong, Wang, Wenjie, Li, Ang, Yang, Kai, Li, Junnan, Xu, Huan, Yang, Chunyan, Ma, Libing, Li, Zhenzi, Fan, Xin, Li, Kang, Lou, Ge |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5458273/ https://www.ncbi.nlm.nih.gov/pubmed/28389631 http://dx.doi.org/10.18632/oncotarget.16739 |
Ejemplares similares
-
Distinct plasma lipids profiles of recurrent ovarian cancer by liquid chromatography-mass spectrometry
por: Li, Junnan, et al.
Publicado: (2016) -
A Comprehensive Analysis of Metabolomics and Transcriptomics in Cervical Cancer
por: Yang, Kai, et al.
Publicado: (2017) -
Identification of a six-lncRNA signature associated with recurrence of ovarian cancer
por: Yang, Kai, et al.
Publicado: (2017) -
Erratum: Identification of a six-lncRNA signature associated with recurrence of ovarian cancer
por: Yang, Kai, et al.
Publicado: (2017) -
Metabolomics for biomarker discovery in the diagnosis, prognosis, survival and recurrence of colorectal cancer: a systematic review
por: Zhang, Fan, et al.
Publicado: (2017)