4.6 Article

Upregulation of FGD6 Predicts Poor Prognosis in Gastric Cancer

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FRONTIERS IN MEDICINE
卷 8, 期 -, 页码 -

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FRONTIERS MEDIA SA
DOI: 10.3389/fmed.2021.672595

关键词

FGD6; gastric cancer; TCGA; prognosis; GSEA

资金

  1. Priority Union Foundation of Yunnan Provincial Science and Technology Department and Kunming Medical University [2019FE001(-175)]
  2. Ten Thousand Person Plan for Famous Doctors of Yunnan Province [YNWR-MY-2018-015]

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This study revealed that FGD6 was significantly overexpressed in GC tissues and associated with higher histological grade, stage, and poor prognosis. Multivariate Cox regression analysis indicated that FGD6 was an independent prognostic factor for survival in GC patients.
Background: The aim of this study was to investigate the prognostic significance of faciogenital dysplasia 6 (FGD6) in gastric cancer (GC). Methods: The data of GC patients from The Cancer Genome Atlas (TCGA) database were used for the primary study. Then, our data were validated by the GEO database and RuiJin cohort. The relationship between the FGD6 level and various clinicopathological features was analyzed by logistic regression and univariate Cox regression. Multivariate Cox regression analysis was used to evaluate whether FGD6 was an independent prognostic factor for survival of patients with GC. The relationship between FGD6 and overall survival time was explored by the Kaplan-Meier method. In addition, gene set enrichment analysis (GSEA) was performed to investigate the possible biological processes of FGD6. Results: The FGD6 level was significantly overexpressed in GC tissues, compared with adjacent normal tissues. The high expression of FGD6 was related to a high histological grade, stage, and T classification and poor prognosis of GC. Multivariate Cox regression analysis showed that FGD6 was an independent prognostic factor for survival of patients with GC. GSEA identified that the high expression of FGD6 was mainly enriched in regulation of actin cytoskeleton. Conclusion: FGD6 may be a prognostic biomarker for predicting the outcome of patients with GC.

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