Proteomics and metabolomics approach in adult and pediatric glioma diagnostics

Pienkowski, Tomasz; Kowalczyk, Tomasz; García-Romero, Noemí; Ayuso-Sacido, Ángel; Ciborowski, Michał

doi:10.1016/j.bbcan.2022.188721

Cited by 18 publications

(13 citation statements)

References 111 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The epidermal growth factor receptor (EGFR) is gliomas’ most commonly overexpressed protein. The EGFR is a transmembrane glycoprotein that, upon stimulation, leads to the activation of PI3K signaling as well as intracellular MAPK pathways, SRC kinase, and STAT transcription factors ( 61 ). These metabolic markers can be used as characteristic indicators in blood or tissue samples to guide personalized management of gliomas.…”

Section: Introductionmentioning

confidence: 99%

Alterations in cellular metabolism under different grades of glioma staging identified based on a multi-omics analysis strategy

Yan,

Li,

Zhang

et al. 2023

Front. Endocrinol.

View full text Add to dashboard Cite

Glioma is a type of brain tumor closely related to abnormal cell metabolism. Firstly, multiple combinatorial sequencing studies have revealed this relationship. Genomic studies have identified gene mutations and gene expression disorders related to the development of gliomas, which affect cell metabolic pathways. In addition, transcriptome studies have revealed the genes and regulatory networks that regulate cell metabolism in glioma tissues. Metabonomics studies have shown that the metabolic pathway of glioma cells has changed, indicating their distinct energy and nutritional requirements. This paper focuses on the retrospective analysis of multiple groups combined with sequencing to analyze the changes in various metabolites during metabolism in patients with glioma. Finally, the changes in genes, regulatory networks, and metabolic pathways regulating cell metabolism in patients with glioma under different metabolic conditions were discussed. It is also proposed that multi-group metabolic analysis is expected to better understand the mechanism of abnormal metabolism of gliomas and provide more personalized methods and guidance for early diagnosis, treatment, and prognosis evaluation of gliomas.

show abstract

Section: Introductionmentioning

confidence: 99%

Alterations in cellular metabolism under different grades of glioma staging identified based on a multi-omics analysis strategy

Yan,

Li,

Zhang

et al. 2023

Front. Endocrinol.

View full text Add to dashboard Cite

show abstract

“…As a result, early detection and identification of glioma growth, as well as the discovery of new treatment targets and the development of new therapeutic techniques, are critical [51,52]. The rapid development of sequencing and omics technologies in recent years has given researchers greater opportunity to learn more about the pathophysiology of gliomas and to investigate diagnostic and therapeutic targets [53][54][55]. Previous research has linked high HMMR expression to a bad prognosis in a variety of malignancies, such as breast, colorectal, gastric, endometrial, prostate, and multiple myeloma [56][57][58][59][60][61].…”

Section: Discussionmentioning

confidence: 99%

HELLPAR/RRM2 axis related to HMMR as novel prognostic biomarker in gliomas

et al. 2023

View full text Add to dashboard Cite

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.

show abstract

“…Goryńska et al [ 35 ] reported several metabolites, including amino acids, nucleotides, and acylcarnitines, that could be used to discriminate the IDH wildtype from mutants, 1p19q codeletion from the wildtype, and various malignancy grades of gliomas [ 35 ]. In a recent review, Pienkowski et al [ 36 ] discuss metabolites that have emerged as significant for the characterization and diagnosis of gliomas [ 36 ].…”

Section: Metabolic Changes In Gliomasmentioning

confidence: 99%

Metabolomic and Lipidomic Profiling of Gliomas—A New Direction in Personalized Therapies

Gaca-Tabaszewska,

Bogusiewicz,

Bojko

2022

Cancers

View full text Add to dashboard Cite

In addition to being the most common primary brain tumor, gliomas are also among the most difficult to diagnose and treat. At present, the “gold standard” in glioma treatment entails the surgical resection of the largest possible portion of the tumor, followed by temozolomide therapy and radiation. However, this approach does not always yield the desired results. Additionally, the ability to cross the blood-brain barrier remains a major challenge for new potential drugs. Thus, researchers continue to search for targeted therapies that can be individualized based on the specific characteristics of each case. Metabolic and lipidomic research may represent two of the best ways to achieve this goal, as they enable detailed insights into the changes in the profile of small molecules in a biological system/specimen. This article reviews the new approaches to glioma therapy based on the analysis of alterations to biochemical pathways, and it provides an overview of the clinical results that may support personalized therapies in the future.

show abstract

Proteomics and metabolomics approach in adult and pediatric glioma diagnostics

Cited by 18 publications

References 111 publications

Alterations in cellular metabolism under different grades of glioma staging identified based on a multi-omics analysis strategy

Alterations in cellular metabolism under different grades of glioma staging identified based on a multi-omics analysis strategy

HELLPAR/RRM2 axis related to HMMR as novel prognostic biomarker in gliomas

Metabolomic and Lipidomic Profiling of Gliomas—A New Direction in Personalized Therapies

Contact Info

Product

Resources

About