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Prognostic significance of EIF4G1 in patients with pancreatic ductal adenocarcinoma

BACKGROUND: Advances in genomics have greatly improved the survival rate in cancer patients. However, due to genetic heterogeneity, pancreatic ductal adenocarcinoma (PDAC) is still difficult to diagnose early, and its survival rate is extremely low. Therefore, we identified biomarkers that predict t...

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Detalles Bibliográficos
Autores principales: Goh, Tae Sik, Ha, Mihyang, Lee, Jung Sub, Jeong, Dae Cheon, Jung, Eun Sang, Han, Myoung-Eun, Kim, Yun Hak, Oh, Sae-Ock
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6472433/
https://www.ncbi.nlm.nih.gov/pubmed/31043796
http://dx.doi.org/10.2147/OTT.S202101
Descripción
Sumario:BACKGROUND: Advances in genomics have greatly improved the survival rate in cancer patients. However, due to genetic heterogeneity, pancreatic ductal adenocarcinoma (PDAC) is still difficult to diagnose early, and its survival rate is extremely low. Therefore, we identified biomarkers that predict the prognosis of PDAC patients using independent cohort data. MATERIALS AND METHODS: To develop a novel prognostic biomarker, we used the gene expression and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Kaplan–Meier survival curve using median values of genes as cutoff showed that EIF4G1 was the only statistically significant gene in the 3 cohorts. We analyzed the prognostic significance of EIF4G1 using the time-dependent area under the curve (AUC) of Uno’s C-index, the AUC value of the receiver operating characteristics (ROC) at 3 years, and multivariate Cox analysis. We also compared EIF4G1 levels between tumors and matched non-tumor tissues. RESULTS: EIF4G1 is the only prognostic gene in patients with PDAC, which was selected by Kaplan–Meier survival analysis. The survival curve showed that high expression of EIF4G1 was associated with poor prognosis of PDAC with a good discriminative ability in 3 independent cohorts. The risk stratifying ability of EIF4G1 was demonstrated by analyzing C-indices and AUC values. Multivariate Cox regression confirmed its prognostic significance. EIF4G1 expression was significantly higher in PDAC tissues than in the matched normal tissues. CONCLUSION: EIF4G1 could be used as a novel prognostic marker for PDAC and to determine suitable treatment options.