The role of caveolin-1 in tumors of the brain - functional and clinical implications

Ocak, Pınar Eser; Ocak, Umut; Tang, Jiping; Zhang, Junyi

doi:10.1007/s13402-019-00447-x

Cited by 11 publications

(4 citation statements)

References 252 publications

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“…Cav-1 is a integrin membrane protein with 178 amino acid (22 kD), which is widely expressed in various cell types such as adipocytes, endothelial cells, broblasts, smooth muscle cells and epithelial cells. Various evidences indicate that cav-1 plays an important role in several molecular pathways involving the pathobiology and natural behavior of brain tumors (especially glioblastoma), leading to tumor growth, progression, invasion, invasion, metastasis and resistance to radiotherapy and chemotherapy, thus playing an important role in cancer prognosis [35]. Studies have shown that LEKHA4 is elevated in most tumors, such as LGG [36].…”

Section: Discussionmentioning

confidence: 99%

RETRACTED ARTICLE: Integration of clinical and spatial data to explore lipid metabolism-related genes for predicting prognosis and immune microenvironment in gliomas

Zhou

et al. 2023

Funct Integr Genomics

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Lipid metabolism is crucial to tumor growth and immune microenvironment as well as drug sensitivity in glioma. Identifying prognostic indicators of glioma and elucidating the mechanisms of glioma progression is for improving glioma patient prognosis. In this study, we investigated the role and prognostic value of metabolism-related genes in glioma by GEO, CGGA, and TCGA. Based on clinical data and transcriptome data, We found that the expression pattern of three major pathways of lipid metabolism is fatty acid high -phospholipid high -triglyceride low , which is associated with better prognosis and immune in ltration. Using the related genes of these three pathways constructed a prognostic model, and the model showed stability and e ciency in the test set and validation set. In the spatial transcriptome of glioma patients, the microenvironment of the regions with high expression of risk gene CAV1 and SCD is in a state of hypoxia, EMT, and cell cycle arrest, and thus can be used as markers of metabolic reprogramming in the tumor microenvironment. In the high-risk group, M0 macrophages and M1 macrophages were signi cantly enriched, and the risk score was signi cantly correlated with gene mutation and methylation. screened the sensitive drugs corresponding to different risk genes. This study provided novel insights into the differential immune microenvironment with different metabolic expression patterns and highlighted the spatial and temporal synergy of tumor progression and metabolic reprogramming.

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Section: Discussionmentioning

confidence: 99%

RETRACTED ARTICLE: Integration of clinical and spatial data to explore lipid metabolism-related genes for predicting prognosis and immune microenvironment in gliomas

Zhou

et al. 2023

Funct Integr Genomics

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“…Caveolin-1 promoted tumor growth (52,53), while in others, it slowed down proliferation and increased sensitivity to the therapy (54,55). In this study, using GBM patient clinical samples, we demonstrated Caveolin-1 expression varies across the tumor.…”

Section: Discussionmentioning

confidence: 61%

Investigation of Inter- and Intratumoral Heterogeneity of Glioblastoma Using TOF-SIMS

Gularyan

Гулин

Anufrieva

et al. 2020

Molecular & Cellular Proteomics

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Glioblastoma (GBM) is one of the most aggressive human cancers with a median survival of less than two years. A distinguishing pathological feature of GBM is a high degree of inter- and intratumoral heterogeneity. Intertumoral heterogeneity of GBM has been extensively investigated on genomic, methylomic, transcriptomic, proteomic and metabolomics levels, however only a few studies describe intratumoral heterogeneity because of the lack of methods allowing to analyze GBM samples with high spatial resolution. Here, we applied TOF-SIMS (Time-of-flight secondary ion mass spectrometry) for the analysis of single cells and clinical samples such as paraffin and frozen tumor sections obtained from 57 patients. We developed a technique that allows us to simultaneously detect the distribution of proteins and metabolites in glioma tissue with 800 nm spatial resolution. Our results demonstrate that according to TOF-SIMS data glioma samples can be subdivided into clinically relevant groups and distinguished from the normal brain tissue. In addition, TOF-SIMS was able to elucidate differences between morphologically distinct regions of GBM within the same tumor. By staining GBM sections with gold-conjugated antibodies against Caveolin-1 we could visualize border between zones of necrotic and cellular tumor and subdivide glioma samples into groups characterized by different survival of the patients. Finally, we demonstrated that GBM contains cells that are characterized by high levels of Caveolin-1 protein and cholesterol. This population may partly represent a glioma stem cells. Collectively, our results show that the technique described here allows to analyze glioma tissues with a spatial resolution beyond reach of most of other omics approaches and the obtained data may be used to predict clinical behavior of the tumor.

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“…Currently, several studies have shown that the overexpression of CAV-1 is related to cancer progression, angiogenesis and metastasis [ 17 , 18 ]. Some studies have found that CAV-1 has the potential to alter the molecular basis underlying the pathobiology of brain tumors, particularly the malignant glial subtype [ 19 ]. However, the molecular mechanism and functional effects of CAV-1 in glioma are still elusive.…”

Section: Introductionmentioning

confidence: 99%

Caveolin-1 promotes glioma proliferation and metastasis by enhancing EMT via mediating PAI-1 activation and its correlation with immune infiltrates

Wang,

Chen,

Yuan

et al. 2024

Heliyon

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The role of caveolin-1 in tumors of the brain - functional and clinical implications

Cited by 11 publications

References 252 publications

RETRACTED ARTICLE: Integration of clinical and spatial data to explore lipid metabolism-related genes for predicting prognosis and immune microenvironment in gliomas

RETRACTED ARTICLE: Integration of clinical and spatial data to explore lipid metabolism-related genes for predicting prognosis and immune microenvironment in gliomas

Investigation of Inter- and Intratumoral Heterogeneity of Glioblastoma Using TOF-SIMS

Caveolin-1 promotes glioma proliferation and metastasis by enhancing EMT via mediating PAI-1 activation and its correlation with immune infiltrates

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