Splice-switching of the insulin receptor in rhabdomyosarcoma: Rescuing the IR-B isoform for better treatment options.
Khurshid, S.; Montes, M.; Comiskey, D. F.; Shane, B.; Matsa, E.; Brown, C.; Bid, H. K.; Wang, R.; Houghton, P.; Rigo, F.; Chandler, D.
Show abstract
Rhabdomyosarcoma (RMS) is an aggressive pediatric tumor with poor prognosis for metastasis and recurrent disease. Large scale sequencing endeavors demonstrate that RMS tumors have limited mutations and a dearth of driver mutations that are precisely targetable. However, IGF2 signaling is known to be grossly altered in RMS. The IGF2 signalling molecule binds both its innate IGF1 receptor as well as the insulin-receptor-variant-A (IR-A) with high affinity. Mitogenic and proliferative signalling via the canonical IGF2 pathway is therefore augmented by IR-A. The insulin receptor (IR) which is a transmembrane tyrosine-kinase receptor exists in two alternatively spliced isoforms, IR-A and IR-B. In this study, we show that RMS patients express increased IR-A compared to control tissues that express predominantly the IR-B isoform. We also found that Hif1a is significantly increased in RMS tumors, portraying their hypoxic phenotype. Furthermore, the alternative-splicing of IR adapts to produce more IR-A in response to hypoxic stress. Upon examining the pre-mRNA structure of the gene, we identified a hypoxia-responsive-element, which is also the binding site for the RNA-binding protein CUG-BP1. We designed Splice-Switching-Oligonucleotides (SSO) against this binding site to decrease the levels of IR-A in RMS cell-lines and consequently rescue the IR-B expression levels. SSO treatment resulted in significant reductions in proliferation, migration and angiogenesis. Our data show promising insight into how impeding the IGF-2 pathway by reducing IR-A expression mitigates tumor growth. Our data reveal that RMS tumors use IR alternative-splicing as yet another survival strategy which can be exploited as therapeutic intervention in conjunction with already established anti-IGF-1 receptor therapies.
Matching journals
The top 15 journals account for 50% of the predicted probability mass.