: Glioblastoma (GBM) is the most common and malignant astrocytic glioma, accounting for about 90% of all brain tumors with poor prognosis. Despite recent advances in understanding molecular mechanisms of oncogenesis and the improved neuroimaging technologies, surgery, and adjuvant treatments, the clinical prognosis of patients with GBM remains persistently unfavorable. The signaling pathways and the regulation of growth factors of glioblastoma cells are very abnormal. The various signaling pathways have been suggested to be involved in cellular proliferation, invasion, and glioma metastasis. The Wnt signaling pathway with its pleiotropic functions in neurogenesis and stem cell proliferation is implicated in various human cancers, including glioma. In addition, the PI3K/Akt/mTOR pathway is closely related to growth, metabolism, survival, angiogenesis, autophagy, and chemotherapy resistance of GBM. Understanding the mechanisms of GBM’s invasion, represented by invasion and migration, is an important tool in designing effective therapeutic interventions. This review will investigate two main signaling pathways in GBM: PI3K/Akt/mTOR and Wnt/beta-catenin signaling pathways.
The COVID-19 pandemic continues to endanger world health and the economy. The causative SARS-CoV-2 coronavirus has a unique replication system. The end point of the COVID-19 pandemic is either herd...
Glioblastoma multiforme (GBM) is the most common primary malignant brain tumor. Despite standard multimodality treatment, the highly aggressive nature of GBM makes it one of the deadliest human malignancies. The anti-cancer effects of dietary phytochemicals like curcumin provide new insights to cancer treatment. Evaluation of curcumin’s efficacy against different malignancies including glioblastoma has been a motivational research topic and widely studied during the recent decade. In this review, we discuss the recent observations on the potential therapeutic effects of curcumin against glioblastoma. Curcumin can target multiple signaling pathways involved in developing aggressive and drug-resistant features of glioblastoma, including pathways associated with glioma stem cell activity. Notably, combination therapy with curcumin and chemotherapeutics like temozolomide, the GBM standard therapy, as well as radiotherapy has shown synergistic response, highlighting curcumin’s chemo- and radio-sensitizing effect. There are also multiple reports for curcumin nanoformulations and targeted forms showing enhanced therapeutic efficacy and passage through blood-brain barrier, as compared with natural curcumin. Furthermore, in vivo studies have revealed significant anti-tumor effects, decreased tumor size and increased survival with no notable evidence of systemic toxicity in treated animals. Finally, a pharmacokinetic study in patients with GBM has shown a detectable intratumoral concentration, thereby suggesting a potential for curcumin to exert its therapeutic effects in the brain. Despite all the evidence in support of curcumin’s potential therapeutic efficacy in GBM, clinical reports are still scarce. More studies are needed to determine the effects of combination therapies with curcumin and importantly to investigate the potential for alleviating chemotherapy- and radiotherapy-induced adverse effects.
One of the most challenging aspects of treating patients facing primary ovarian insufficiency, especially those eligible for controlled ovarian hyperstimulation (COH), is the assessment of ovarian function and response to stimulatory protocols in terms of the number of oocytes retrieved. The lack of consistency between studies regarding the best parameter for response evaluation necessitates a comprehensive statistical analysis of the most commonly utilized ovarian reserve markers (ORM). This systematic review and meta-analysis aims to establish the optimal metric for assessing ovarian reserve among COH candidates. The PubMed/MEDLINE, Scopus, and ISI Web of Science databases were searched until July 2024, with no date or language limitations. The Newcastle–Ottawa scale was used to evaluate the validity of anti-Mullerian hormone (AMH), antral follicle count (AFC), follicle-stimulating hormone (FSH), and estradiol (E2) in patients receiving controlled ovarian hyperstimulation. Studies on the diagnostic accuracy of ovarian reserve markers in predicting ovarian response to controlled ovarian hyperstimulation in assisted reproduction technology (ART) candidates were reviewed. The diagnostic odds ratio (DOR) was determined using the Der Simonian-Laird random effects model meta-analysis to assess the likelihood of detecting low or high ovarian responses in COH candidates. Cochran’s Q, and I-squared, were used to analyze between-study heterogeneity. This systematic review and meta-analysis included 26 studies including 17 cohorts, 4 case controls, and 5 cross-sectional studies. AFC and AMH demonstrated significant diagnostic performance compared to FSH and E2 in poor and high response category. AMH slightly outperformed AMH and had the highest logarithm of DOR for detecting poor [2.68 (95% CI 1.90, 3.45)] and high ovarian response [2.76 (95% CI 1.57, 3.95)]. However, it showed a high between-study heterogeneity (I2 = 95.65, Q = 189.65, p < 0.05). AFC and AMH were the most accurate predictors of poor and high ovarian response to controlled ovarian hyperstimulation. However, further research is needed to develop models assessing the combined impact of AMH and AFC on ovarian response prediction. PROSPERO CRD42021245380.