RESUMEN

BACKGROUND: Glioblastoma multiforme (GBM) is a highly malignant brain tumor with a worst prognosis of less than one year despite advance treatment facilities. Among various signaling pathway genes displaying genetic modifications, aberrant expression of Notch pathway genes is frequent in GBM offering novel therapeutic targets. Herbal extracts having anticancer properties are used in adjuvant therapy that is safe and affordable as compared to chemotherapeutics. Bacopa monnieri has been used for the development of brain cells because of its neuroprotective properties. Its anticancer properties have shown to be promising in cancer treatment. METHODS: The anticancer properties of Bacoside A, an active and abundant component of Bacopa monnieri was assessed on U-87 MG cell line and its effects on expression of Notch pathway genes were studied. Cell cycle arrest and apoptosis were studied using flow cytometry. Expression of Notch pathway genes comprising of Notch receptors (notch1, notch2, notch3 and notch4), ligands (jagged1 and jagged2), a component of gamma-secretase complex (APH1A) and downstream target (HES1) were evaluated by quantitative real-time PCR. RESULTS: Bacoside A exhibited considerable cytotoxicity on U-87 MG cells inducing cell cycle arrest and apoptosis. Cell cycle analysis revealed a significant arrest of 39.21% cells in sub-G0 phase at 80 µg/mL concentration, increasing to 53.21% at a higher concentration of 100 µg/mL. The fraction of early apoptotic cells in control was low (3.48%) that increased substantially to 31.36% and 41.11% after 80 µg/mL and 100 µg/mL of Bacoside A treatment respectively. Additionally, the expression of notch1 gene decreased after exposure to Bacoside A with a fold change of 0.05, whereas HES1 gene expression was increased by 25 fold. CONCLUSION: These data indicate that Bacoside A has a possible anticancer activity that could be inducing cell cycle arrest and apoptosis through Notch pathway in GBM in vitro.

RESUMEN

Glioblastoma is the most common malignant brain tumor accounting for more than 54 % of all gliomas. Despite aggressive treatments, median survival remains less than 1 year. This might be due to the unavailability of effective molecular diagnostic markers and targeted therapy. Thus, it is essential to discover molecular mechanisms underlying disease by identifying dysregulated pathways involved in tumorigenesis. Notch signaling is one such pathway which plays an important role in determining cell fates. Since it is found to play a critical role in many cancers, we investigated the role of Notch genes in glioblastoma with an aim to identify biomarkers that can improve diagnosis. Using real-time PCR, we assessed the expression of Notch genes including receptors (Notch1, Notch2, Notch3, and Notch4), ligands (JAG1, JAG2, and DLL3), downstream targets (HES1 and HEY2), regulator Deltex1 (DTX1), inhibitor NUMB along with transcriptional co-activator MAML1, and a component of gamma-secretase complex APH1A in 15 formalin-fixed paraffin-embedded (FFPE) patient samples. Relative quantification was done by the 2(-ΔΔCt) method; the data are presented as fold change in gene expression normalized to an internal control gene and relative to the calibrator. The data revealed aberrant expression of Notch genes in glioblastoma compared to normal brain. More than 85 % of samples showed high Notch1 (P = 0.0397) gene expression and low HES1 (P = 0.011) and DTX1 (P = 0.0001) gene expression. Our results clearly show aberrant expression of Notch genes in glioblastoma which can be used as putative biomarkers together with histopathological observation to improve diagnosis, therapeutic strategies, and patient prognosis.

Asunto(s)

RESUMEN

BACKGROUND: Quantitative real-time polymerase chain reaction (qPCR) is the most reliable tool for gene expression studies. Selection of housekeeping genes (HKGs) that are having most stable expression is critical to carry out accurate gene expression profiling. There is no 'universal' HKG having stable expression in all kinds of tissues under all experimental conditions. METHODS: The present study aims to identify most appropriate HKGs for gene expression analysis in glioblastoma (GBM) samples. Based on literature survey, six most commonly used HKGs that are invariant in GBM were chosen. We performed qPCR using RNA from formalin fixed paraffin embedded GBM samples and normal brain samples to investigate the expression pattern of HPRT, GAPDH, TBP, B2M, B2M, RPL13A, and RN18S1 with different abundance. A simple Δcycle threshold approach was employed to calculate the fold change. RESULTS: Our study shows that the expression of RPL13A and TBP were found to be most stable across all the samples and are thus suitable for gene expression analysis in human GBM. Except for TBP, none of the other conventionally used HKGs in GBM studies e.g., HPRT and GAPDH were found to be suitable as they showed variation in RNA expression. CONCLUSION: Validation of HKGs is therefore immensely specific for a particular experimental setup and is crucial in assessing any new setup.

RESUMEN

The Notch signalling pathway is an evolutionarily conserved cell signalling pathway involved in the development of organisms as diverse as humans and fruit flies. It plays a pivotal role in cell fate determination. Dysregulated Notch signalling is oncogenic, inhibits apoptosis and promotes cell survival. Abnormal Notch signalling is seen in many cancers like T-cell acute lymphoblastic leukaemia, acute myeloid leukaemia and cancers of the breast, cervix, colon, pancreas, skin and brain. Inhibition of Notch signalling leads to growth arrest and differentiation in those cells in which Notch pathway is activated and this represents a new target for cancer therapy. Cancer develops from genome defects, including both genetic and epigenetic alterations. Epigenetics deals with heritable changes in gene function that occur without a change in the DNA sequence. Among various epigenetic alterations such as acetylation, phosphorylation, ubiquitylation and sumoylation, promoter region methylation is considered as an important component in cancer development. Epigenetic alterations can be used as biomarkers in screening, detection, diagnosis, staging and risk stratification of various cancers. DNA methylation can be therapeutically reversed and demethylating drugs have proven to be promising in cancer treatment. This review focusses on the methylation status of genes in Notch signalling pathway from various cancers and how this epigenetic alteration can be used as a biomarker for cancer diagnosis and subsequent treatment.

Asunto(s)