The present study aimed to investigate the molecular mechanisms underlying glioblastoma multiform (GBM) and its biomarkers. The differentially expressed genes (DEGs) were diagnosed using the limma software package. The ToppGene (ToppFun) was used to perform pathway and Gene Ontology (GO) enrichment analysis of the DEGs. Protein-protein interaction (PPI) networks, extracted modules, miRNA-target genes regulatory network and TF-target genes regulatory network were used to obtain insight into the actions of DEGs. Survival analysis for DEGs was carried out. A total of 590 DEGs, including 243 up regulated and 347 down regulated genes, were diagnosed between scrambled shRNA expression and Lin7A knock down. The up-regulated genes were enriched in ribosome, mitochondrial translation termination, translation, and peptide biosynthetic process. The down-regulated genes were enriched in focal adhesion, VEGFR3 signaling in lymphatic endothelium, extracellular matrix organization, and extracellular matrix. The current study screened the genes in the PPI network, extracted modules, miRNA-target genes regulatory network, and TF-target genes regulatory network with higher degrees as hub genes, which included NPM1, CUL4A, YIPF1, SHC1, AKT1, VLDLR, RPL14, P3H2, DTNA, FAM126B, RPL34, and MYL5. Survival analysis indicated that the high expression of RPL36A and MRPL35 were predicting longer survival of GBM, while high expression of AP1S1 and AKAP12 were predicting shorter survival of GBM. High expression of RPL36A and AP1S1 were associated with pathogenesis of GBM, while low expression of ALPL was associated with pathogenesis of GBM. In conclusion, the current study diagnosed DEGs between scrambled shRNA expression and Lin7A knock down samples, which could improve our understanding of the molecular mechanisms in the progression of GBM, and these crucial as well as new diagnostic markers might be used as therapeutic targets for GBM.

Pharmacovigilance (PV) is critical in determining the risk–benefit ratio of medicines and encouraging their safe, rational, and effective use, hence enhancing patient safety and care. Pharmacists, as drug experts, share responsibility for ensuring that medicines remain safe. The study aimed to assess the knowledge, attitude, and practice of hospital pharmacists towards PV and adverse drug reaction (ADR) reporting and to know factors that discourage them from reporting ADRs in Najran, Saudi Arabia. A pre-tested self-administered questionnaire was distributed to all the pharmacists working in government hospitals who consented to participate in the study. Data was collected over three months, from 01 June 2018 to 31 Aug 2018. Data were analyzed using Statistical Package for Social Science (SPSS) software for Windows, version 23. Descriptive statistics such as frequency and percentages, mean ± standard deviation (SD) were calculated, and the Pearson's Chi-square test was used to examine the relationship between different variables. A total of 145 questionnaires were distributed, and the response rate obtained was 70.3%. The definition of PV and ADR were correctly identified by 42% and 68.3% of participants, respectively. A noteworthy finding is that 95% of participants were aware of the existence of the ADR reporting system, and 88.9% knew the responsible regulatory agency. Participants showed a positive attitude towards PV and ADR reporting; 90.1% considered ADR reporting a part of professional obligation, and 94.1% believed that there should be collaboration between pharmacists and other healthcare professionals. A majority of participants (86.1%) had identified an ADR during their practice, and 71.3% had reported an ADR. The unavailability of a professional environment to discuss ADR and insufficient pharmacotherapy/clinical knowledge was cited as the main factors discouraging from reporting ADRs. Overall, the pharmacists had an average to good knowledge of and positive attitude towards PV and ADR reporting and a good ADR reporting practice. The concept of PV and ADR reporting should be further strengthened, and there is a vast potential for the same.

Breast cancer (BRCA) remains the leading cause of cancer morbidity and mortality worldwide. In the present study, we identified novel biomarkers expressed during estradiol and tamoxifen treatment of BRCA. The microarray dataset of E-MTAB-4975 from Array Express database was downloaded, and the differential expressed genes (DEGs) between estradiol-treated BRCA sample and tamoxifen-treated BRCA sample were identified by limma package. The pathway and gene ontology (GO) enrichment analysis, construction of protein-protein interaction (PPI) network, module analysis, construction of target genes—miRNA interaction network and target genes-transcription factor (TF) interaction network were performed using bioinformatics tools. The expression, prognostic values, and mutation of hub genes were validated by SurvExpress database, cBioPortal, and human protein atlas (HPA) database. A total of 856 genes (421 up-regulated genes and 435 down-regulated genes) were identified in T47D (overexpressing Split Ends (SPEN) + estradiol) samples compared to T47D (overexpressing Split Ends (SPEN) + tamoxifen) samples. Pathway and GO enrichment analysis revealed that the DEGs were mainly enriched in response to lysine degradation II (pipecolate pathway), cholesterol biosynthesis pathway, cell cycle pathway, and response to cytokine pathway. DEGs (MCM2, TCF4, OLR1, HSPA5, MAP1LC3B, SQSTM1, NEU1, HIST1H1B, RAD51, RFC3, MCM10, ISG15, TNFRSF10B, GBP2, IGFBP5, SOD2, DHF and MT1H), which were significantly up- and down-regulated in estradiol and tamoxifen-treated BRCA samples, were selected as hub genes according to the results of protein-protein interaction (PPI) network, module analysis, target genes—miRNA interaction network and target genes-TF interaction network analysis. The SurvExpress database, cBioPortal, and Human Protein Atlas (HPA) database further confirmed that patients with higher expression levels of these hub genes experienced a shorter overall survival. A comprehensive bioinformatics analysis was performed, and potential therapeutic applications of estradiol and tamoxifen were predicted in BRCA samples. The data may unravel the future molecular mechanisms of BRCA.

The objectives of this research were to carry out GC–MS and LC–MS-based phytochemical profiling of Barleria hochstetteri, as well as flow cytometry-based mechanistic investigations of the cytotoxic effect of its extracts against breast and lung cancer cell lines. This preclinical in vitro study was carried out in Saudi Arabia and India, from 11 August to 15 January 2022. Barleria hochstetteri was sequentially extracted using the Soxhlet extraction technique. Utilizing LC–MS and GC–MS methods, the phytochemical profiling was performed. Additionally, the total phenolic compounds and flavonoids were quantified in the plant extract using spectrophotometric techniques. In this study, we first examined the cytotoxicity of the plant extract on non-malignant L929 cells and on the carcinogenic MCF-7 and A549 cell lines. Then, we studied the underlying molecular pathways by means of Anti-Bcl-2, caspase-3, and DNA fragmentation (TUNEL) assays, using flow cytometry. The results revealed phenolic compounds and flavonoids to be the two major components in the methanolic extract of B. hochstetteri, with concentrations of 3210 µg GAE/g dwt and 1863 µg QE/g dwt, respectively. Results from GC–MS and LC–MS analyses revealed the presence of bioactive phytochemicals with known cytotoxicity. From the MTT assay on cell viability, the IC₅₀ of the methanol extract for the MCF-7 and A549 cell lines were 219.67 and 144.30 µg/mL, respectively. With IC₅₀ values of 324.24 and 266.66 µg/mL, respectively, the aqueous and methanol extracts were less toxic when tested against the non-cancerous L929 cell line. The extract caused early and late apoptosis in the tested breast and lung cancer cells by activating caspase-3 and inhibiting Bcl-2 protein, and it also caused cell death via DNA damage, based on flow cytometric and molecular marker analyses. These findings indicate that the methanol extract of B. hochstetteri was cytotoxic on breast cancer and lung cancer cell lines. To uncover cancer-fighting chemicals, there is a need for further research on B. hochstetteri, as it is a promising source of anti-cancer chemotherapeutic drugs.

Aim: The objective of this research is to present a phytochemical profile of Fagonia arabica and to investigate the cytotoxic potential of its extracts against breast, oral, and lung cancer cell lines using MTT assay and dual staining-based mechanistic analysis. Methods: The progressive extraction of F. arabica was carried out using the Soxhlet extraction technique. The total phenolic and flavonoid content was calculated as part of the phytochemical profiling performed using GCMS and LCMS methods. The MTT assay was utilized to assess the cytotoxicity against normal L929 cells, as well as malignant A549, MCF-7, and KB-3-1cell lines. Results: The phenolic compounds and flavonoids were the two main elements of the F. arabica methanolic extract, with 1323 µg GAE/g of dry weight and 523.07 µg QE/g of dry weight, respectively. The presence of the functional phytochemicals was verified by GCMS and LCMS analyses. Toxicity testing on the L929 cell line found that the F. arabica methanol extract was the least harmful, with the highest IC₅₀ (296.11 µg/mL). The MTT assay for cell viability against MCF-7 and KB-3-1 yielded significant results, with IC₅₀ values of 135.02 µg/mL and 195.21 µg/mL, respectively. The aqueous extract exhibited significant cytotoxicity against the A549 cell lines (IC₅₀ 116.06 µg/mL). The molecular marker analyses using dual staining revealed that the methanolic extract successfully triggered apoptosis in the different cancer cells tested. Conclusion: The present data suggest that the methanol extract of F. arabica has substantial cytotoxic action against lung, breast, and oral cancer cell lines. Thus, F. Arabica would be a promising source of anticancer medicines, warranting more research to identify the lead molecules with anticancer properties.

The objectives of this study are to investigate the cytotoxic effect of different Citrullus colocynthis extracts on breast and lung cancer cell lines using flow cytometry to gain mechanistic insights. C. colocynthis was extracted sequentially using the Soxhlet method. We first tested the plant extracts’ cytotoxicity on non-malignant L929 cells and cancerous breast (MCF-7) and lung (A549) cell lines. We observed that the IC₅₀ of the methanol extract on the viability of MCF-7 and A549 cell lines was 81.08 µg/mL and 17.84 µg/mL, respectively, using the MTT assay. The aqueous and methanol extracts were less toxic when tested against the non-cancerous L929 cell line, with IC₅₀ values of 235.48 µg/mL and 222.29 µg/mL, respectively. Then, using flow cytometry, we investigated the underlying molecular pathways with Annexin-V, Anti-Bcl-2, Caspase-3, and DNA fragmentation (TUNEL) assays. Flow cytometric and molecular marker analyses revealed that the methanol extract activated caspase-3 and inhibited Bcl-2 protein, causing early and late apoptosis, as well as cell death via DNA damage in breast and lung cancer cells. These findings indicate that the methanol extract of C. colocynthis is cytotoxic to breast and lung cancer cell lines. The total phenolic and flavonoid content analysis results showed the methanolic extract of C. colocynthis has a concentration of 326.25 μg GAE/g dwt and 274.61 μg QE/g dwt, respectively. GC-MS analysis of the methanol extract revealed phytochemicals relevant to its cytotoxicity.