Analyses of metastasis-associated genes in IDH wild-type glioma

Li, Xiaozhi; Meng, Yutong

doi:10.1186/s12885-020-07628-0

Cited by 8 publications

(10 citation statements)

References 30 publications

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“…Initially reported as an important component of immunological mucosal defences [ 60 ], FCGBP gained more interest recently due to the fact of its variable expression and contradictory roles in different types of malignancies, where it seems to be involved in the immune response associated with cancer development [ 61 , 62 , 63 , 64 ]. Of note, it has been shown to be a metastasis-associated gene in IDH wild-type gliomas [ 65 ] and a tumour antigen in low-grade gliomas [ 61 ].…”

Section: Discussionmentioning

confidence: 99%

Definition of an Inflammatory Biomarker Signature in Plasma-Derived Extracellular Vesicles of Glioblastoma Patients

et al. 2022

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Glioblastoma (GB) is an aggressive type of tumour for which therapeutic options and biomarkers are limited. GB diagnosis mostly relies on symptomatic presentation of the tumour and, in turn, brain imaging and invasive biopsy that can delay its diagnosis. Description of easily accessible and effective biomarkers present in biofluids would thus prove invaluable in GB diagnosis. Extracellular vesicles (EVs) derived from both GB and stromal cells are essential to intercellular crosstalk in the tumour bulk, and circulating EVs have been described as a potential reservoir of GB biomarkers. Therefore, EV-based liquid biopsies have been suggested as a promising tool for GB diagnosis and follow up. To identify GB specific proteins, sEVs were isolated from plasma samples of GB patients as well as healthy volunteers using differential ultracentrifugation, and their content was characterised through mass spectrometry. Our data indicate the presence of an inflammatory biomarker signature comprising members of the complement and regulators of inflammation and coagulation including VWF, FCGBP, C3, PROS1, and SERPINA1. Overall, this study is a step forward in the development of a non-invasive liquid biopsy approach for the identification of valuable biomarkers that could significantly improve GB diagnosis and, consequently, patients’ prognosis and quality of life.

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Section: Discussionmentioning

confidence: 99%

Definition of an Inflammatory Biomarker Signature in Plasma-Derived Extracellular Vesicles of Glioblastoma Patients

et al. 2022

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“…This may be because protein expression in GBM and META are different, persumely due to the isocitrate dehydrogenase (IDH) state is highly related to glioma tumors. 43,44 If there are sufficient MR data for alleviating the overfitting problem, PRF could also segment lesion regions on the test dataset. However, lesion segmentation is not the main purpose of this study, therefore the lesion segmentation-related parts are described in the supporting information (Table A.…”

Section: Discussionmentioning

confidence: 99%

“…The preliminary 3‐T brain tumor experiments showed that CEST frequency importance suggested GBM and META had significant difference at 3.5 and 2.7 ppm, but not at −3.5 ppm. This may be because protein expression in GBM and META are different, persumely due to the isocitrate dehydrogenase (IDH) state is highly related to glioma tumors 43,44 …”

Section: Discussionmentioning

confidence: 99%

Frequency importance analysis for chemical exchange saturation transfer magnetic resonance imaging using permuted random forest

et al. 2022

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Chemical exchange saturation transfer magnetic resonance imaging (CEST MRI) is a promising molecular imaging tool that allows sensitive detection of endogenous metabolic changes. However, because the CEST spectrum does not display a clear peak like MR spectroscopy, its signal interpretation is challenging, especially under 3‐T field strength or with a large saturation B1. Herein, as an alternative to conventional Z‐spectral fitting approaches, a permuted random forest (PRF) method is developed to determine featured saturation frequencies for lesion identification, so‐called CEST frequency importance analysis. Briefly, voxels in the CEST dataset were labeled as lesion and control according to multicontrast MR images. Then, by considering each voxel's saturation signal series as a sample, a permutation importance algorithm was employed to rank the contribution of saturation frequency offsets in the differentiation of lesion and normal tissue. Simulations demonstrated that PRF could correctly determine the frequency offsets (3.5 or −3.5 ppm) for classifying two groups of Z‐spectra, under a range of B0, B1 conditions and sample sizes. For ischemic rat brains, PRF only displayed high feature importance around amide frequency at 2 h postischemia, reflecting that the pH changes occurred at an early stage. By contrast, the data acquired at 24 h postischemia exhibited high feature importance at multiple frequencies (amide, water, and lipids), which suggested the complex tissue changes that occur during the later stages. Finally, PRF was assessed using 3‐T CEST data from four brain tumor patients. By defining the tumor region on amide proton transfer‐weighted images, PRF analysis identified different CEST frequency importance for two types of tumors (glioblastoma and metastatic tumor) (p < 0.05, with each image slice as a subject). In conclusion, the PRF method was able to rank and interpret the contribution of all acquired saturation offsets to lesion identification; this may facilitate CEST analysis in clinical applications, and open up new doors for comprehensive CEST analysis tools other than model‐based approaches.

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“…High-grade malignant tumor tissues are hyperactive and may progress through the steps of the invasion-metastasis cascade within a short period of time ( 103 ). Glioma is an invasive disease that tends to propagate locally and migrate to other parts of the brain ( 104 ). It is increasingly apparent that dysregulation of circRNAs may contribute to the aggressive growth and migration of glioma.…”

Section: Circrnas and Gliomamentioning

confidence: 99%

Circular RNA: A novel type of biomarker for glioma (Review)

et al. 2021

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With the rapid development of sequencing technologies, the characteristics and functions of circular RNAs (circRNAs) in different tissues, and their underlying pathophysiological mechanisms, have been identified. circRNAs are significantly enriched in the brain and are continually expressed from the embryonic stage to the adult stage in rats. Previous studies have reported that certain circRNAs are differentially expressed in glioma and regulate a number of biological processes, such as cell proliferation, metastasis and oncogenesis of glioma. Furthermore, certain circRNAs have been associated with tumor size, World Health Organization tumor grade and poor prognosis in patients with glioma. It has been hypothesized that circRNAs may be involved in the onset and progression of glioma through transcriptional regulation, protein translation and binding to microRNAs. These properties and functions suggest the potential of circRNAs as prognostic biomarkers and therapeutic targets for glioma. For the present review, published studies were examined from PubMed, Embase, Cochrane Central and the reference lists of the retrieved articles. The aim of the present review was to summarize the progress of circRNA research in glioma, discuss the potential diagnostic and prognostic values, and the roles of circRNAs in glioma, and provide a novel theoretical basis and research concepts for the prediction, diagnosis and treatment of glioma.

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Analyses of metastasis-associated genes in IDH wild-type glioma

Cited by 8 publications

References 30 publications

Definition of an Inflammatory Biomarker Signature in Plasma-Derived Extracellular Vesicles of Glioblastoma Patients

Definition of an Inflammatory Biomarker Signature in Plasma-Derived Extracellular Vesicles of Glioblastoma Patients

Frequency importance analysis for chemical exchange saturation transfer magnetic resonance imaging using permuted random forest

Circular RNA: A novel type of biomarker for glioma (Review)

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