1. Academic Validation
  2. Expression and prognostic analyses of the insulin-like growth factor 2 mRNA binding protein family in human pancreatic cancer

Expression and prognostic analyses of the insulin-like growth factor 2 mRNA binding protein family in human pancreatic cancer

  • BMC Cancer. 2020 Nov 27;20(1):1160. doi: 10.1186/s12885-020-07590-x.
Xiao-Han Cui 1 2 Shu-Yi Hu 3 Chun-Fu Zhu 4 Xi-Hu Qin 5
Affiliations

Affiliations

  • 1 Department of General Surgery, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, 68 Pohu Middle Road, Changzhou, Jiangsu, 213000, P.R. China.
  • 2 Nanjing Medical University, Nanjing, Jiangsu, 211166, P.R. China.
  • 3 Department of General Surgery, Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, P.R. China.
  • 4 Department of General Surgery, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, 68 Pohu Middle Road, Changzhou, Jiangsu, 213000, P.R. China. zcfmlm@163.com.
  • 5 Department of General Surgery, the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, 68 Pohu Middle Road, Changzhou, Jiangsu, 213000, P.R. China. qinxihu@yeah.net.
Abstract

Background: Despite advances in early diagnosis and treatment, Cancer remains the leading cause of mortality worldwide. The insulin-like growth factor 2 mRNA binding protein (IGF2BP) family has been reported to be involved in a variety of human malignant tumours. However, little is known about their expression and prognostic value in human pancreatic Cancer. Therefore, we performed a detailed Cancer versus normal differential analysis.

Methods: The Cancer Genome Atlas (TCGA) and Gene Expression Profiling Interactive Analysis (GEPIA) databases were used to analyse the mRNA expression levels of the IGF2BP family in various cancers, including pancreatic Cancer. Then, the LinkedOmics and GEPIA databases were used to assess the relation between the expression levels of IGF2BPs and overall survival (OS). Then, univariate and multivariate COX regression analyses were performed, and subgroups based on grade and stage were analysed. The signalling pathways associated with IGF2BP2 and IGF2BP3 were then investigated via gene set enrichment analysis (GSEA).

Results: IGF2BP2 and IGF2BP3 were associated with each subset of OS based on grade and stage. Further clinical correlation analysis of IGF2BP2 and IGF2BP3 confirmed that IGF2BP2 and IGF2BP3 are fundamental factors in promoting pancreatic Cancer progression.

Conclusion: IGF2BP2 and IGF2BP3 are key factors in promoting the progression of pancreatic Cancer and are closely related to overall survival.

Keywords

Bioinformatic; Expression; IGF2BP; Pancreatic Cancer; Prognosis.

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