Search citation statements
Paper Sections
Citation Types
Year Published
Publication Types
Relationship
Authors
Journals
Glioma is one of the most common malignant tumors and shows a high metastasis rate and poor prognosis. KLHDC8A has been implicated in several cancers, but its role in glioma and its potential as a biomarker remain unclear. We conducted a pan-cancer analysis of KLHDC8A using multiple databases and assessed its expression levels, survival associations, and diagnostic utility. Kaplan–Meier survival analysis and Receiver Operating Characteristic (ROC) curves were utilized to evaluate KLHDC8A’s prognostic and diagnostic potential. Additionally, we investigated KLHDC8A's role in glioma cell proliferation and its involvement in the Wnt/β-catenin signaling pathway. Our pan-cancer analysis revealed significant dysregulation of KLHDC8A across various tumors. Elevated KLHDC8A expression was associated with poor overall survival (OS) in cancers including ACC, KIRP, LGG, and STAD. Disease-specific survival (DSS) analysis indicated worse outcomes in ACC, KIRP, and LGG with high KLHDC8A levels. ROC curve analysis demonstrated KLHDC8A's strong diagnostic potential for glioblastoma multiforme (GBM) and lower-grade gliomas (LGG), with AUC values of 0.920 and 0.748, respectively. In glioma patients, high KLHDC8A expression correlated with shorter OS and DSS in LGG, while no significant correlation was observed in GBM. Multivariate Cox regression confirmed KLHDC8A as an independent prognostic factor for OS and DSS in LGG. Knockdown experiments in glioma cell lines U251 and U87 showed that KLHDC8A silencing led to reduced cell proliferation and colony formation, which was associated with downregulation of key proteins in the Wnt/β-catenin pathway. Overall, KLHDC8A is a promising biomarker for the diagnosis and prognosis of LGG, and its high expression is linked to poor survival outcomes. The gene's involvement in the Wnt/β-catenin signaling pathway underscores its role in glioma progression, highlighting KLHDC8A’s potential as a therapeutic target and diagnostic marker, particularly for LGG.
Glioma is one of the most common malignant tumors and shows a high metastasis rate and poor prognosis. KLHDC8A has been implicated in several cancers, but its role in glioma and its potential as a biomarker remain unclear. We conducted a pan-cancer analysis of KLHDC8A using multiple databases and assessed its expression levels, survival associations, and diagnostic utility. Kaplan–Meier survival analysis and Receiver Operating Characteristic (ROC) curves were utilized to evaluate KLHDC8A’s prognostic and diagnostic potential. Additionally, we investigated KLHDC8A's role in glioma cell proliferation and its involvement in the Wnt/β-catenin signaling pathway. Our pan-cancer analysis revealed significant dysregulation of KLHDC8A across various tumors. Elevated KLHDC8A expression was associated with poor overall survival (OS) in cancers including ACC, KIRP, LGG, and STAD. Disease-specific survival (DSS) analysis indicated worse outcomes in ACC, KIRP, and LGG with high KLHDC8A levels. ROC curve analysis demonstrated KLHDC8A's strong diagnostic potential for glioblastoma multiforme (GBM) and lower-grade gliomas (LGG), with AUC values of 0.920 and 0.748, respectively. In glioma patients, high KLHDC8A expression correlated with shorter OS and DSS in LGG, while no significant correlation was observed in GBM. Multivariate Cox regression confirmed KLHDC8A as an independent prognostic factor for OS and DSS in LGG. Knockdown experiments in glioma cell lines U251 and U87 showed that KLHDC8A silencing led to reduced cell proliferation and colony formation, which was associated with downregulation of key proteins in the Wnt/β-catenin pathway. Overall, KLHDC8A is a promising biomarker for the diagnosis and prognosis of LGG, and its high expression is linked to poor survival outcomes. The gene's involvement in the Wnt/β-catenin signaling pathway underscores its role in glioma progression, highlighting KLHDC8A’s potential as a therapeutic target and diagnostic marker, particularly for LGG.
Glioma is a primary brain tumor that grows quickly, has an unfavorable prognosis, and can spread intracerebrally. Glioma cells rely on glucose as the major energy source, and glycolysis plays a critical role in tumorigenesis and progression. Substrate utilization shifts throughout glioma progression to facilitate energy generation and biomass accumulation. This metabolic reprogramming promotes glioma cell proliferation and metastasis and ultimately decreases the efficacy of conventional treatments. Non-coding RNAs (ncRNAs) are involved in several glucose metabolism pathways during tumor initiation and progression. These RNAs influence cell viability and glucose metabolism by modulating the expression of key genes of the glycolytic pathway. They can directly or indirectly affect glycolysis in glioma cells by influencing the transcription and post-transcriptional regulation of oncogenes and suppressor genes. In this review, we discussed the role of ncRNAs in the metabolic reprogramming of glioma cells and tumor microenvironments and their abnormal expression in the glucometabolic pathway in glioma. In addition, we consolidated the existing theoretical knowledge to facilitate the use of this emerging class of biomarkers as biological indicators and potential therapeutic targets for glioma.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.