Valproic Acid: A Promising Therapeutic Agent in Glioma Treatment

Han, Wei; Guan, Wei

doi:10.3389/fonc.2021.687362

Cited by 22 publications

(21 citation statements)

References 97 publications

(130 reference statements)

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“…We observed that a low degree of enrichment, i.e., low activity, for “IDL particle”, “negative regulation of sterol transport” and “Valproic acid” corresponded to poor survival in samples with higher glioma grade. Interestingly, “Valproic acid” ( Figure 5 C,G,K) has been recently proposed as a promising therapeutic target for gliomas [ 71 ]. We also noticed that microtubule-related annotations did not influence the overall survival ( Figure 5 D,H).…”

Section: Resultsmentioning

confidence: 99%

Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment

Garbulowski

Smolinska

Çabuk

et al. 2022

Cancers

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Gliomas develop and grow in the brain and central nervous system. Examining glioma grading processes is valuable for improving therapeutic challenges. One of the most extensive repositories storing transcriptomics data for gliomas is The Cancer Genome Atlas (TCGA). However, such big cohorts should be processed with caution and evaluated thoroughly as they can contain batch and other effects. Furthermore, biological mechanisms of cancer contain interactions among biomarkers. Thus, we applied an interpretable machine learning approach to discover such relationships. This type of transparent learning provides not only good predictability, but also reveals co-predictive mechanisms among features. In this study, we corrected the strong and confounded batch effect in the TCGA glioma data. We further used the corrected datasets to perform comprehensive machine learning analysis applied on single-sample gene set enrichment scores using collections from the Molecular Signature Database. Furthermore, using rule-based classifiers, we displayed networks of co-enrichment related to glioma grades. Moreover, we validated our results using the external glioma cohorts. We believe that utilizing corrected glioma cohorts from TCGA may improve the application and validation of any future studies. Finally, the co-enrichment and survival analysis provided detailed explanations for glioma progression and consequently, it should support the targeted treatment.

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Section: Resultsmentioning

confidence: 99%

Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment

Garbulowski

Smolinska

Çabuk

et al. 2022

Cancers

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“…The above studies suggest that though VPA possesses substantial advantages in the treatment of cancer both in vitro and in vivo, the controversial treatment effects of VPA on certain types of cancer can still be observed. Further studies to access the efficacy, safety, and durability of VPA treatment Due to its inhibitory effect on HDAC, which is shown to be involved in cancer progression, metastasis, and recurrent, numerous reports have demonstrated the potential anti-cancer properties of VPA [100,[105][106][107][108]. Indeed, there have been reports showing the application of VPA in clinical trials.…”

Section: The Effect Of Valproic Acid In Anti-cancer Therapymentioning

confidence: 99%

“…Due to its inhibitory effect on HDAC, which is shown to be involved in cancer progression, metastasis, and recurrent, numerous reports have demonstrated the potential anti-cancer properties of VPA [ 100 , 105 , 106 , 107 , 108 ]. Indeed, there have been reports showing the application of VPA in clinical trials.…”

Section: Repurposing Anesthetic/sedative Drugs Into Anticancer Treatmentmentioning

confidence: 99%

“…The dotted line represents the proven pathway, but the mechanism is unknown. This figure is made by an online tool at BioRender.com (accessed on 15 June 2022)Due to its inhibitory effect on HDAC, which is shown to be involved in cancer progression, metastasis, and recurrent, numerous reports have demonstrated the potential anti-cancer properties of VPA[100,[105][106][107][108]. Indeed, there have been reports showing the application of VPA in clinical trials.…”

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confidence: 99%

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Drug Repurposing: The Mechanisms and Signaling Pathways of Anti-Cancer Effects of Anesthetics

Liao

Yeh

et al. 2022

Biomedicines

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Cancer is one of the leading causes of death worldwide. There are only limited treatment strategies that can be applied to treat cancer, including surgical resection, chemotherapy, and radiotherapy, but these have only limited effectiveness. Developing a new drug for cancer therapy is protracted, costly, and inefficient. Recently, drug repurposing has become a rising research field to provide new meaning for an old drug. By searching a drug repurposing database ReDO_DB, a brief list of anesthetic/sedative drugs, such as haloperidol, ketamine, lidocaine, midazolam, propofol, and valproic acid, are shown to possess anti-cancer properties. Therefore, in the current review, we will provide a general overview of the anti-cancer mechanisms of these anesthetic/sedative drugs and explore the potential underlying signaling pathways and clinical application of these drugs applied individually or in combination with other anti-cancer agents.

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“…Another approved drug that emerged as an interesting therapeutic in GBM is valproic acid (VPA). It has been demonstrated that VPA inhibited glioma cell proliferation, migration, and invasion [ 362 ]. Experiments on human GBM cell lines have shown that VPA had a strong antiproliferative effect and also led to a reduction in CD44 expression (a cancer stem cell marker) [ 363 ].…”

Section: Targeting Hippo Signaling Pathway In Gbmmentioning

confidence: 99%

Current Opportunities for Targeting Dysregulated Neurodevelopmental Signaling Pathways in Glioblastoma

Drakulić

Schwirtlich

Petrović

et al. 2022

Cells

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Glioblastoma (GBM) is the most common and highly lethal type of brain tumor, with poor survival despite advances in understanding its complexity. After current standard therapeutic treatment, including tumor resection, radiotherapy and concomitant chemotherapy with temozolomide, the median overall survival of patients with this type of tumor is less than 15 months. Thus, there is an urgent need for new insights into GBM molecular characteristics and progress in targeted therapy in order to improve clinical outcomes. The literature data revealed that a number of different signaling pathways are dysregulated in GBM. In this review, we intended to summarize and discuss current literature data and therapeutic modalities focused on targeting dysregulated signaling pathways in GBM. A better understanding of opportunities for targeting signaling pathways that influences malignant behavior of GBM cells might open the way for the development of novel GBM-targeted therapies.

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Valproic Acid: A Promising Therapeutic Agent in Glioma Treatment

Cited by 22 publications

References 97 publications

Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment

Machine Learning-Based Analysis of Glioma Grades Reveals Co-Enrichment

Drug Repurposing: The Mechanisms and Signaling Pathways of Anti-Cancer Effects of Anesthetics

Current Opportunities for Targeting Dysregulated Neurodevelopmental Signaling Pathways in Glioblastoma

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