PATH-13. A novel C19orf47-AKT2 chimeric RNA generated by cis-splicing of adjacent genes is associated with glioblastoma prognosis

Abstract Gliomas are the most prevalent and aggressive primary brain tumors in adults, characterized by rapid progression, therapeutic resistance, and a dismal prognosis. The discovery of targetable fusion genes in cancer has spurred interest in detecting chimeric RNAs for precision treatments. This study identified and validated a novel C19orf47-AKT2 fusion in glioma, including an out-of-frame C19orf47e9-AKT2e2 and an in-frame C19orf47e9-AKT2e3 variant, via RNA sequencing and Sanger sequencing. These chimeric RNAs were undetectable in all five non-tumorous brain tissue samples from epilepsy patients but were present in a significant proportion of glioma samples, indicating tumor specificity. Specifically, they were detected in 88.9% (144/162) of glioma core tissues, higher than that in peritumoral tissues (65.2%, 30/46, p<0.001). Quantitative analysis revealed no significant expression difference between these variants in peritumoral tissues. However, in tumor core tissues, the C19orf47e9-AKT2e2 variant was significantly more abundant (p<0.001). High expression of this variant was associated with poor prognosis in glioblastoma patients (p<0.05). Further analysis revealed that C19orf47-AKT2 chimeras arise from cis-splicing of adjacent genes, involving intergenic pre-mRNA splicing without DNA rearrangement. The in-frame variant is predicted to encode a fusion protein containing domains from both parent genes, and this coding potential was validated by transfecting an expression plasmid into 293T cells. However, no endogenous fusion protein was detected in GBM tissues or patient-derived GBM cells, even after proteasome inhibition, implying that the C19orf47-AKT2 fusion may not function through protein translation. We therefore knocked down the expression of C19orf47-AKT2 chimeras via RNA interference techniques. The subsequent CCK-8 assays revealed that the proliferative capacity of GBM primary cells was significantly inhibited following the down-regulation of these chimeric RNAs. In conclusion, this study identifies novel C19orf47-AKT2 chimeras, generated through cis-splicing, that might function as non-coding RNAs to promote glioblastoma proliferation. These chimeras represent potential prognostic markers and therapeutic targets for gliomas.

Authors

Institutions

Publication Details

Journal
Neuro-Oncology
Published
2025-11-01
DOI
https://doi.org/10.1093/neuonc/noaf201.0965
Primary Topic
Protein Degradation and Inhibitors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PATH-13. A novel C19orf47-AKT2 chimeric RNA generated by cis-splicing of adjacent genes is associated with glioblastoma prognosis

Guozhong Yi, Bowen Ni, Guanglong Huang, Kezhi Wu et al.
Neuro-Oncology
Protein Degradation and Inhibitors
article

PATH-13. A novel C19orf47-AKT2 chimeric RNA generated by cis-splicing of adjacent genes is associated with glioblastoma prognosis

Guozhong Yi, Bowen Ni, Guanglong Huang, Kezhi Wu, Runwei Yang, Qi Zhang, Zihan Wang, Ziyu Wang, Yawei Liu, Yimin Xu, Jinglin Guo, Minyi He
article en

Abstract

Abstract Gliomas are the most prevalent and aggressive primary brain tumors in adults, characterized by rapid progression, therapeutic resistance, and a dismal prognosis. The discovery of targetable fusion genes in cancer has spurred interest in detecting chimeric RNAs for precision treatments. This study identified and validated a novel C19orf47-AKT2 fusion in glioma, including an out-of-frame C19orf47e9-AKT2e2 and an in-frame C19orf47e9-AKT2e3 variant, via RNA sequencing and Sanger sequencing. These chimeric RNAs were undetectable in all five non-tumorous brain tissue samples from epilepsy patients but were present in a significant proportion of glioma samples, indicating tumor specificity. Specifically, they were detected in 88.9% (144/162) of glioma core tissues, higher than that in peritumoral tissues (65.2%, 30/46, p<0.001). Quantitative analysis revealed no significant expression difference between these variants in peritumoral tissues. However, in tumor core tissues, the C19orf47e9-AKT2e2 variant was significantly more abundant (p<0.001). High expression of this variant was associated with poor prognosis in glioblastoma patients (p<0.05). Further analysis revealed that C19orf47-AKT2 chimeras arise from cis-splicing of adjacent genes, involving intergenic pre-mRNA splicing without DNA rearrangement. The in-frame variant is predicted to encode a fusion protein containing domains from both parent genes, and this coding potential was validated by transfecting an expression plasmid into 293T cells. However, no endogenous fusion protein was detected in GBM tissues or patient-derived GBM cells, even after proteasome inhibition, implying that the C19orf47-AKT2 fusion may not function through protein translation. We therefore knocked down the expression of C19orf47-AKT2 chimeras via RNA interference techniques. The subsequent CCK-8 assays revealed that the proliferative capacity of GBM primary cells was significantly inhibited following the down-regulation of these chimeric RNAs. In conclusion, this study identifies novel C19orf47-AKT2 chimeras, generated through cis-splicing, that might function as non-coding RNAs to promote glioblastoma proliferation. These chimeras represent potential prognostic markers and therapeutic targets for gliomas.

Neuro-OncologyVol. 27(Supplement_5)
Capital Medical University (CN), Shantou University (CN), Beijing Tian Tan Hospital (CN), Third Affiliated Hospital of Southern Medical University (CN), The First People's Hospital of Shunde (CN), Nanfang Hospital (CN), First Affiliated Hospital of Shantou University Medical College (CN), Southern Medical University (CN)
Openalex Percentile: Top 70%
Protein Degradation and Inhibitors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.