Abstract
Gliomas are the most common and lethal intracranial tumours. RNA sequencing technologies and advanced data analyses recently enabled the characterization of transcriptomic information, including protein-coding gene expression, non-coding gene expression, alternative splicing, and fusion gene detection, to facilitate detection of diseases and altered phenotypes. As a part of the Chinese Glioma Genome Atlas (CGGA) project, our aim was to delineate comprehensive transcriptome profiling in the malignant progression of human gliomas. Three hundred twenty five gliomas with different grades were collected over the past twelve years. Using the Illumina HiSeq 2,000 system, over 92 million high quality 101-bp paired-end reads were generated per sample, yielding a total of 30 billion reads. This comprehensive dataset will be useful to deepen the comprehensive understanding of gliomas, providing an opportunity to generate new therapies, diagnoses, and preventive strategies.
Highlights
Background & SummaryMalignant gliomas are the most common and lethal primary brain tumours
Recurrent PTPRZ1-MET (ZM) fusion transcript in secondary glioblastomas, which was independently validated in other groups[6]
The principal aim of this study was to provide a comprehensive resource to deposit the raw RNA-seq data sets underpinning the advanced studies on dynamic transcriptomic signatures with the malignant progression of human gliomas
Summary
Malignant gliomas are the most common and lethal primary brain tumours. According to the multicentre cross-sectional study on brain tumours (MCSBT) in China, age standardized prevalence of primary brain tumours is approximately 22.52 per million for all populations, and that of gliomas is 31.1% in those aged 20–59 years[1]. The principal aim of this study was to provide a comprehensive resource to deposit the raw RNA-seq data sets underpinning the advanced studies on dynamic transcriptomic signatures with the malignant progression of human gliomas. To this end, a total of three hundred and twenty five clinical samples were collected from several hospitals in China. Most GBMs are primary, approximately twenty percent of them are secondary from the progression of previous low-grade gliomas of grade II or III11 It is becoming an urgent clinical task to identify early biomarkers for diagnosis and prognosis, as well as to explore the mechanisms underlying the development and progression of gliomas. The data resource provides an opportunity to identify the biomarkers of early warning, diagnosis and prognosis, which have the potential to be applied to clinical treatments of glioma
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
