RESUMEN
Based on its absence in normal tissues and its role in tumorigenesis and tumor progression, insulin-like growth factor 2 mRNA-binding protein 3 (IGF2BP3), a reader of N6-methyladenosine (M6A) on RNA, represents a putative valuable and specific target for some cancer therapy. In this study, we performed bioinformatic analysis and immunohistochemistry (IHC) to find that IGF2BP3 was highly expressed in tumor epithelial cells and fibroblasts of ovarian cancer (OC), and was associated with poor prognosis, metastasis, and chemosensitivity in OC patients. In particular, we discovered that knockdown IGF2BP3 expression inhibited the malignant phenotype of OC cell lines by decreasing the protein levels of c-MYC, VEGF, CDK2, CDK6, and STAT1. To explore the feasibility of IGF2BP3 as a therapeutic target for OC, a small molecular AE-848 was designed and screened by molecular operating environment (MOE), which not only could duplicate the above results of knockdown assay but also reduced the expression of c-MYC in M2 macrophages and tumor-associated macrophages and promoted the cytokine IFN-γ and TNF-α secretion. The pharmacodynamic models of two kinds of OC bearing animals were suggested that systemic therapy with AE-848 significantly inhibited tumor growth by reducing the expression of tumor-associated antigen (c-MYC/VEGF/Ki67/CDK2) and improving the anti-tumor effect of macrophages. These results suggest that AE-848 can inhibit the growth and progression of OC cells by disrupting the stability of the targeted mRNAs of IGF2BP3 and may be a targeted drug for OC treatment.
RESUMEN
Interferon gamma (IFN-γ) is a potent proinflammatory cytokine which plays a pivotal role in the antiviral, antiproliferative, and antitumor activities. A T-to-A transition at the position +874 of human IFN-γ gene (IFNG) has been reported to influence the secretion of IFN-γ and affect cancer susceptibility. However, results from published studies on the association between IFNG +874 T/A polymorphism and cancer risk are inconclusive or even controversial. In order to derive a more precise estimation of the association, a meta-analysis of 38 eligible studies including 5,630 cases and 6,096 controls was conducted with odds ratio (OR) and its corresponding 95 % confidence interval (95 % CI). Overall, no significant association was detected in allelic model (A allele vs. T allele-OR = 0.96, 95 % CI, 0.86-1.08), homozygote comparison (AA vs. TT-OR = 0.97, 95 % CI, 0.79-1.21), heterozygote comparison (AT vs. TT-OR = 1.03, 95 % CI, 0.87-1.23), dominant model (AA + AT vs. TT-OR = 1.00, 95 % CI, 0.87-1.15), nor recessive model (AA vs. AT + TT-OR = 0.93, 95 % CI, 0.78-1.12). Further subgroup analyses based on ethnicity, cancer types, and Hardy-Weinberg equilibrium status failed to demonstrate any significant relationship except in African population under recessive model (AA vs. AT + TT-OR = 0.68, 95 % CI, 0.47-0.97). In conclusion, the current meta-analysis suggested that IFNG +874 T/A polymorphism may not contribute to cancer susceptibility, and further well-designed studies with large sample size are warranted to validate our conclusion.
