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. 2019 Feb 7;11(2):194.
doi: 10.3390/cancers11020194.

CircSMARCA5 Regulates VEGFA mRNA Splicing and Angiogenesis in Glioblastoma Multiforme Through the Binding of SRSF1

Affiliations

CircSMARCA5 Regulates VEGFA mRNA Splicing and Angiogenesis in Glioblastoma Multiforme Through the Binding of SRSF1

Davide Barbagallo et al. Cancers (Basel). .

Abstract

Circular RNAs are a large group of RNAs whose cellular functions are still being investigated. We recently proposed that circSMARCA5 acts as sponge for the splicing factor Serine and Arginine Rich Splicing Factor 1 (SRSF1) in glioblastoma multiforme (GBM). After demonstrating by RNA immunoprecipitation a physical interaction between SRFS1 and circSMARCA5, we assayed by real-time PCR in a cohort of 31 GBM biopsies and 20 unaffected brain parenchyma controls (UC) the expression of total, pro-angiogenic (Iso8a) and anti-angiogenic (Iso8b) mRNA isoforms of Vascular Endothelial Growth Factor A (VEGFA), a known splicing target of SRSF1. The Iso8a to Iso8b ratio: (i) increased in GBM biopsies with respect to UC (p-value < 0.00001); (ii) negatively correlated with the expression of circSMARCA5 (r-value = -0.46, p-value = 0.006); (iii) decreased in U87-MG overexpressing circSMARCA5 with respect to negative control (p-value = 0.0055). Blood vascular microvessel density, estimated within the same biopsies, negatively correlated with the expression of circSMARCA5 (r-value = -0.59, p-value = 0.00001), while positively correlated with that of SRSF1 (r-value = 0.38, p-value = 0.00663) and the Iso8a to Iso8b ratio (r-value = 0.41, p-value = 0.0259). Kaplan-Meier survival analysis showed that GBM patients with low circSMARCA5 expression had lower overall and progression free survival rates than those with higher circSMARCA5 expression (p-values = 0.033, 0.012, respectively). Our data convincingly suggest that circSMARCA5 is an upstream regulator of pro- to anti-angiogenic VEGFA isoforms ratio within GBM cells and a highly promising GBM prognostic and prospective anti-angiogenic molecule.

Keywords: RNA binding proteins; VEGFA; alternative splicing; angiogenesis; circular RNA; glioblastoma multiforme; hsa_circ_0001445.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
CircSMARCA5 and SRSF1 physically interact within U87-MG cells. (A) SRSF1 binding sites predicted by RBPMap database (http://rbpmap.technion.ac.il/) are highlighted with different colors within circSMARCA5 sequence. * indicates sequence conservation among twelve primates, including Homo sapiens (see [19]). (B) Fold enrichment (FC) of circSMARCA5, SRSF3 and GAPDH are shown as IPed samples/input. See [22] and Section 4 Materials and Methods for further details (* p-value < 0.05; ** p-value < 0.01, N = 4, two-samples t-test). (C) Representative western blot of U87-MG Input, SRSF1 and normal IgG RIPed samples. Antibodies against SRSF1 and Actin Beta (ACTB) were used as described in Section 4 Materials and Methods.
Figure 1
Figure 1
CircSMARCA5 and SRSF1 physically interact within U87-MG cells. (A) SRSF1 binding sites predicted by RBPMap database (http://rbpmap.technion.ac.il/) are highlighted with different colors within circSMARCA5 sequence. * indicates sequence conservation among twelve primates, including Homo sapiens (see [19]). (B) Fold enrichment (FC) of circSMARCA5, SRSF3 and GAPDH are shown as IPed samples/input. See [22] and Section 4 Materials and Methods for further details (* p-value < 0.05; ** p-value < 0.01, N = 4, two-samples t-test). (C) Representative western blot of U87-MG Input, SRSF1 and normal IgG RIPed samples. Antibodies against SRSF1 and Actin Beta (ACTB) were used as described in Section 4 Materials and Methods.
Figure 2
Figure 2
SRSF1, circSMARCA5 and VEGFA expression in GBM biopsies and unaffected controls (UC). (A) Box-and-whisker plots, representing the expression of SRSF1, circSMARCA5 and total VEGFA RNA in the studied cohort. Data are represented as log2 fold change (FC) values versus UC. (*** p-value < 0.001, N(GBM) = 31, N(UC) = 20, Mann–Whitney test). (B) Western blot of SRSF1 in a selection of UC (N) and GBM (T) samples. ACTB was used as a loading control. (C) Bar graph representing densitometric quantification of SRSF1. Data, shown as mean ± standard deviation, represent fold change versus UC (* p-value < 0.05, N(GBM) = 14, N(UC) = 8, two-sample t-test).
Figure 3
Figure 3
Iso8a-to-Iso8b ratio in GBM biopsies vs. UC. (A) Box-and-whisker plots, representing the ratios between fold changes of Iso8a and total VEGFA (VEGFAtot) and Iso8b and VEGFAtot in GBM compared to UC (*** p-value < 0.00001, N = 27, Mann–Whitney test) (see Section 4 Materials and Methods for details on data analysis). (B) Correlation matrix among the expression of circSMARCA5 and SRSF1 and Iso8a-to-Iso8b ratio. Positive and negative correlations are displayed in blue and red colors, respectively. The color scale bar indicates r values. Color intensity and the size of the circle are proportional to the correlation coefficients into the correlogram. (C) Box-and-whisker plots, representing the ratios between fold changes of Iso8a and VEGFAtot and Iso8b and VEGFAtot in U87-MG overexpressing circSMARCA5 with respect to U87-MG transfected with the empty vector (NC) (** p-value < 0.001, N = 3, two-sample t-test) (see Section 4 Materials and Methods for details on data analysis).
Figure 4
Figure 4
MVD in GBM and UC samples. (A) Representative immunohistochemical staining for CD31 showing areas of high MVD with multiple branching vessels in glioblastoma tissue (1 and 2) and a lower MVD in unaffected brain tissue (3 and 4). Immunoperoxidase staining; 400× magnification (B) Bar graph representing the mean MVD in GBM and UC samples. Data are represented as mean ± standard deviation (*** p-value < 0.00001, N(GBM) = 31, N(UC) = 18, two sample t-test). (C) Correlation matrix among MVD, circSMARCA5 and SRSF1 expression and Iso8a to Iso8b ratio. Positive and negative correlations are displayed in blue and red color, respectively. Color scale bar indicates r values. Color intensity and the size of the circle are proportional to the correlation coefficients into the correlogram.
Figure 5
Figure 5
Kaplan–Meier overall survival (OS) and progression-free survival (PFS) curves of GBM patients, based on the expression of circSMARCA5. Patients having a lower expression of circSMARCA5 (DCt ≥ Median DCt) survive less (A) show a shorter PFS (B) than patients with a higher expression of circSMARCA5 (DCt < Median DCt).

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