HELLPAR/RRM2 axis related to HMMR as novel prognostic biomarker in gliomas
Abstract Background Gliomas are the most frequent type of central nervous system tumor, accounting for more than 70% of all malignant CNS tumors. Recent research suggests that the hyaluronan-mediated motility receptor (HMMR) could be a novel potential tumor prognostic marker. Furthermore, mounting d...
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BMC
2023-02-01
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Series: | BMC Cancer |
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Online Access: | https://doi.org/10.1186/s12885-023-10596-w |
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author | Huaxin Zhu Jiacong Tan Xinyi Pan Hengyang Ouyang Zhixiong Zhang Meihua Li Yeyu Zhao |
author_facet | Huaxin Zhu Jiacong Tan Xinyi Pan Hengyang Ouyang Zhixiong Zhang Meihua Li Yeyu Zhao |
author_sort | Huaxin Zhu |
collection | DOAJ |
description | Abstract Background Gliomas are the most frequent type of central nervous system tumor, accounting for more than 70% of all malignant CNS tumors. Recent research suggests that the hyaluronan-mediated motility receptor (HMMR) could be a novel potential tumor prognostic marker. Furthermore, mounting data has highlighted the important role of ceRNA regulatory networks in a variety of human malignancies. The complexity and behavioural characteristics of HMMR and the ceRNA network in gliomas, on the other hand, remained unknown. Methods Transcriptomic expression data were collected from TCGA, GTEx, GEO, and CGGA database.The relationship between clinical variables and HMMR was analyzed with the univariate and multivariate Cox regression. Kaplan–Meier method was used to assess OS. TCGA data are analyzed and processed, and the correlation results obtained were used to perform GO, GSEA, and ssGSEA. Potentially interacting miRNAs and lncRNAs were predicted by miRWalk and StarBase. Results HMMR was substantially expressed in gliomas tissues compared to normal tissues. Multivariate analysis revealed that high HMMR expression was an independent predictive predictor of OS in TCGA and CGGA. Functional enrichment analysis found that HMMR expression was associated with nuclear division and cell cycle. Base on ssGSEA analysis, The levels of HMMR expression in various types of immune cells differed significantly. Bioinformatics investigation revealed the HEELPAR-hsa-let-7i-5p-RRM2 ceRNA network, which was linked to gliomas prognosis. And through multiple analysis, the good predictive performance of HELLPAR/RRM2 axis for gliomas patients was confirmed. Conclusion This study provides multi-layered and multifaceted evidence for the importance of HMMR and establishes a HMMR-related ceRNA (HEELPAR-hsa-let-7i-5p-RRM2) overexpressed network related to the prognosis of gliomas. |
first_indexed | 2024-04-10T15:43:01Z |
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issn | 1471-2407 |
language | English |
last_indexed | 2024-04-10T15:43:01Z |
publishDate | 2023-02-01 |
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series | BMC Cancer |
spelling | doaj.art-2486ed1f720d40a1a85131136c661aa02023-02-12T12:14:52ZengBMCBMC Cancer1471-24072023-02-0123112310.1186/s12885-023-10596-wHELLPAR/RRM2 axis related to HMMR as novel prognostic biomarker in gliomasHuaxin Zhu0Jiacong Tan1Xinyi Pan2Hengyang Ouyang3Zhixiong Zhang4Meihua Li5Yeyu Zhao6Department of Neurosurgery, the First Affiliated Hospital of Nanchang UniversityDepartment of Neurosurgery, the First Affiliated Hospital of Nanchang UniversityHuankui Academy, Nanchang UniversityHuankui Academy, Nanchang UniversityDepartment of Neurosurgery, the First Affiliated Hospital of Nanchang UniversityDepartment of Neurosurgery, the First Affiliated Hospital of Nanchang UniversityDepartment of Neurosurgery, the First Affiliated Hospital of Nanchang UniversityAbstract Background Gliomas are the most frequent type of central nervous system tumor, accounting for more than 70% of all malignant CNS tumors. Recent research suggests that the hyaluronan-mediated motility receptor (HMMR) could be a novel potential tumor prognostic marker. Furthermore, mounting data has highlighted the important role of ceRNA regulatory networks in a variety of human malignancies. The complexity and behavioural characteristics of HMMR and the ceRNA network in gliomas, on the other hand, remained unknown. Methods Transcriptomic expression data were collected from TCGA, GTEx, GEO, and CGGA database.The relationship between clinical variables and HMMR was analyzed with the univariate and multivariate Cox regression. Kaplan–Meier method was used to assess OS. TCGA data are analyzed and processed, and the correlation results obtained were used to perform GO, GSEA, and ssGSEA. Potentially interacting miRNAs and lncRNAs were predicted by miRWalk and StarBase. Results HMMR was substantially expressed in gliomas tissues compared to normal tissues. Multivariate analysis revealed that high HMMR expression was an independent predictive predictor of OS in TCGA and CGGA. Functional enrichment analysis found that HMMR expression was associated with nuclear division and cell cycle. Base on ssGSEA analysis, The levels of HMMR expression in various types of immune cells differed significantly. Bioinformatics investigation revealed the HEELPAR-hsa-let-7i-5p-RRM2 ceRNA network, which was linked to gliomas prognosis. And through multiple analysis, the good predictive performance of HELLPAR/RRM2 axis for gliomas patients was confirmed. Conclusion This study provides multi-layered and multifaceted evidence for the importance of HMMR and establishes a HMMR-related ceRNA (HEELPAR-hsa-let-7i-5p-RRM2) overexpressed network related to the prognosis of gliomas.https://doi.org/10.1186/s12885-023-10596-wHMMRHELLPAR/RRM2 axisGliomasPrognosisceRNA network |
spellingShingle | Huaxin Zhu Jiacong Tan Xinyi Pan Hengyang Ouyang Zhixiong Zhang Meihua Li Yeyu Zhao HELLPAR/RRM2 axis related to HMMR as novel prognostic biomarker in gliomas BMC Cancer HMMR HELLPAR/RRM2 axis Gliomas Prognosis ceRNA network |
title | HELLPAR/RRM2 axis related to HMMR as novel prognostic biomarker in gliomas |
title_full | HELLPAR/RRM2 axis related to HMMR as novel prognostic biomarker in gliomas |
title_fullStr | HELLPAR/RRM2 axis related to HMMR as novel prognostic biomarker in gliomas |
title_full_unstemmed | HELLPAR/RRM2 axis related to HMMR as novel prognostic biomarker in gliomas |
title_short | HELLPAR/RRM2 axis related to HMMR as novel prognostic biomarker in gliomas |
title_sort | hellpar rrm2 axis related to hmmr as novel prognostic biomarker in gliomas |
topic | HMMR HELLPAR/RRM2 axis Gliomas Prognosis ceRNA network |
url | https://doi.org/10.1186/s12885-023-10596-w |
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