The Insulin-Like Growth Factor 2 mRNA Binding Protein IMP2/IGF2BP2 is Overexpressed and Correlates with Poor Survival in Pancreatic Cancer

A five-gene signature derived from m6A regulators to improve prognosis prediction of neuroblastoma

BACKGROUND AND OBJECTIVE

N6-methyladenosine (m6a) is the most abundant form of methylated modification in eukaryotic mRNA. However, the role of m6A-related genes in neuroblastoma (NB), one of the most common paediatric malignant tumours, is not well known. This study aimed to determine the prognostic role of m6A-related genes in neuroblastoma.

METHODS

We analysed the expression of 20 published m6A methylation regulators in 498 patients with NB from the Gene Expression Omnibus database. To determine the independent prognostic factors, we used univariate Cox analysis, the least absolute shrinkage and selection operator (LASSO) regression. The multivariate Cox analysis was used to construct a prognostic risk prediction model. 120 NB tissues from "Therapeutically Applicable Research To Generate Effective Treatments" (TARGET ) database was used to test the prognostic value. Gene set enrichment analysis was performed to discover the potential biological function of the m6A signature.

RESULTS

The risk prediction model consisted of five genes (METT14, WTAP, HNRNPC, YTHDF1 and IGF2BP2). The receiving operating characteristic curve showed the high exactitude of the risk model. Cox regression analysis revealed that the risk model was an independent prognostic factor of overall survival. These results were reproduced using another published independent dataset. Further functional enrichment analysis suggested the involvement of the 5-gene signature in several malignancies.

CONCLUSION

The five m6A regulatory genes identified in this study enable clinical prognosis of NB and may serve as novel therapeutic targets for NB.

Up-regulation of IGF2BP2 by multiple mechanisms in pancreatic cancer promotes cancer proliferation by activating the PI3K/Akt signaling pathway

Background

The survival of pancreatic cancer patients remains poor. However, the underlying molecular mechanism and new therapeutic target of pancreatic cancer are still needed to be found. Many studies have shown that the IGF2 mRNA-binding protein 2 (IGF2BP2) plays oncogenic roles in cancers. However, the clinical significance, role and molecular mechanisms of IGF2BP2 in pancreatic cancer remain unclear.

Methods

The expression of IGF2BP2 and miR-141 was detected in pancreatic cancer, and clinical significances were analyzed by statistical analysis. The function of IGF2BP2 and miR-141 was determined in vitro and in vivo, and the underlying mechanism was investigated. The gene copy number variation (CNV) of IGF2BP2 was analyzed based on The Cancer Genome Atlas (TCGA) dataset. microRNAs (miRNAs) regulating IGF2BP2 were predicted by online tools and confirmed by experiments.

Results

IGF2BP2 is overexpressed in pancreatic cancer tissues compared with control tissues. Upregulation of IGF2BP2 predicts shorter overall survival (OS) in pancreatic cancer patients by statistical analysis. IGF2BP2 overexpression is partially due to genomic amplification. Bioinformatics analyses and validation experiments showed that IGF2BP2 is a direct target of miR-141. A negative correlation between IGF2BP2 mRNA expression and the expression of miR-141 was observed in pancreatic cancer tissues and more importantly, reexpression of miR-141 rescued the oncogenic role of IGF2BP2. Moreover, upregulating IGF2BP2 expression promotes pancreatic cancer cell growth by activating the PI3K/Akt signaling pathway in vitro and in vivo.

Conclusions

We comprehensively reveal the oncogenic role of IGF2BP2 in pancreatic cancer carcinogenesis and confirm that genomic amplification and the silencing of miR-141 contribute to its activation. Our findings highlight that IGF2BP2 may be a promising molecular target for the treatment of pancreatic cancer.