Abstract
Glioblastoma multiforme (GBM) is the most common and also the most invasive brain cancer. GBM progression is rapid and its prognosis is poor. Therefore, finding molecular targets in GBM is a critical goal that could also play important roles in clinical diagnostics and treatments to improve patient prognosis. We jointly analyzed the GSE103227, GSE103229, and TCGA databases for differentially expressed RNA species, obtaining 52 long non-coding RNAs (lncRNAs), 31 microRNAs (miRNAs), and 186 mRNAs, which were used to build a competing endogenous RNA network. Kaplan–Meier and receiver operating characteristic (ROC) analyses revealed five survival-related lncRNAs: H19, LINC01574, LINC01614, RNF144A-AS1, and OSMR-AS1. With multiple optimization mRNAs, we found the H19-hsa-miR-338-3P-NRP1 regulatory pathway. Additionally, we noted high NRP1 expression in GBM patients, and Kaplan–Meier and ROC analyses showed that NRP1 expression was associated with GBM prognosis. Cox analysis indicated that NRP1 is an independent prognostic factor in GBM patients. In conclusion, H19 and hsa-miR-338-3P regulate NRP1 expression, and this pathway plays an important role in GBM.
Highlights
Glioblastoma multiforme (GBM) is the most malignant pathological type of glioma
To obtain reliable long non-coding RNAs (lncRNAs), miRNAs, and mRNAs associated with GBM patient prognosis, we jointly analyzed the GSE103227, GSE103229, and The Cancer Genome Atlas (TCGA) databases
MiRcode was used to predict miRNAs that could interact with the obtained lncRNAs; mRNAs that could interact with these miRNAs were predicted
Summary
Glioblastoma multiforme (GBM) is the most malignant pathological type of glioma. GBMs grow rapidly, are highly malignant, and generally progress rapidly, leading to an average survival period of approximately 12 months [1, 2]. Comprehensive treatments including surgery, radiotherapy, and chemotherapy have recently improved, the survival time of GBM patients remains unsatisfactory [3, 4]. Tumor genomics provides a basis for discovering pathogenic alterations in malignant cells that can become therapeutic targets, offering hope for GBM patients [5]. Our early bioinformatics analysis found molecules related to the prognosis of glioma patients and ubiquitinated molecules related to the prognosis of glioma [3, 5].
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.
