Applying DDX3X Biomarker to Discriminate Atypical from Benign Meningiomas in Tissue Microarray

Biomarkers for prognosis of meningioma patients: A systematic review and meta-analysis

Meningioma is the most common primary brain tumor and many studies have evaluated numerous biomarkers for their prognostic value, often with inconsistent results. Currently, no reliable biomarkers are available to predict the survival, recurrence, and progression of meningioma patients in clinical practice. This study aims to evaluate the prognostic value of immunohistochemistry-based (IHC) biomarkers of meningioma patients. A systematic literature search was conducted up to November 2023 on PubMed, CENTRAL, CINAHL Plus, and Scopus databases. Two authors independently reviewed the identified relevant studies, extracted data, and assessed the risk of bias of the studies included. Meta-analyses were performed with the hazard ratio (HR) and 95% confidence interval (CI) of overall survival (OS), recurrence-free survival (RFS), and progression-free survival (PFS). The risk of bias in the included studies was evaluated using the Quality in Prognosis Studies (QUIPS) tool. A total of 100 studies with 16,745 patients were included in this review. As the promising markers to predict OS of meningioma patients, Ki-67/MIB-1 (HR = 1.03, 95%CI 1.02 to 1.05) was identified to associate with poor prognosis of the patients. Overexpression of cyclin A (HR = 4.91, 95%CI 1.38 to 17.44), topoisomerase II α (TOP2A) (HR = 4.90, 95%CI 2.96 to 8.12), p53 (HR = 2.40, 95%CI 1.73 to 3.34), vascular endothelial growth factor (VEGF) (HR = 1.61, 95%CI 1.36 to 1.90), and Ki-67 (HR = 1.33, 95%CI 1.21 to 1.46), were identified also as unfavorable prognostic biomarkers for poor RFS of meningioma patients. Conversely, positive progesterone receptor (PR) and p21 staining were associated with longer RFS and are considered biomarkers of favorable prognosis of meningioma patients (HR = 0.60, 95% CI 0.41 to 0.88 and HR = 1.89, 95%CI 1.11 to 3.20). Additionally, high expression of Ki-67 was identified as a prognosis biomarker for poor PFS of meningioma patients (HR = 1.02, 95%CI 1.00 to 1.04). Although only in single studies, KPNA2, CDK6, Cox-2, MCM7 and PCNA are proposed as additional markers with high expression that are related with poor prognosis of meningioma patients. In conclusion, the results of the meta-analysis demonstrated that PR, cyclin A, TOP2A, p21, p53, VEGF and Ki-67 are either positively or negatively associated with survival of meningioma patients and might be useful biomarkers to assess the prognosis.

Prokaryotic Expression and Affinity Purification of DDX3 Protein

BACKGROUND

DDX3 is a protein with RNA helicase activity that is involved in a variety of biological processes, and it is an important protein target for the development of broad-spectrum antiviral drugs, multiple cancers and chronic inflammation.

OBJECTIVES

The objective of this study is to establish a simple and efficient method to express and purify DDX3 protein in E. coli, and the recombinant DDX3 should maintain helicase activity for further tailor-made screening and biochemical function validation.

METHODS

DDX3 cDNA was simultaneously cloned into pET28a-TEV and pNIC28-Bsa4 vectors and transfected into E. coli BL21 (DE3) to compare one suitable prokaryotic expression system. The 6×His-tag was fused to the C-terminus of DDX3 to form a His-tagging DDX3 fusion protein for subsequent purification. Protein dissolution buffer and purification washing conditions were optimized. The His-tagged DDX3 protein would bind with the Ni-NTA agarose by chelation and collected by affinity purification. The 6×His-tag fused with N-terminal DDX3 was eliminated from DDX3 by TEV digestion. A fine purification of DDX3 was performed by gel filtration chromatography.

RESULTS

The recombinant plasmid pNIC28-DDX3, which contained a 6×His-tag and one TEV cleavage site at the N terminal of DDX3 sequence, was constructed for DDX3 prokaryotic expression and affinity purification based on considering the good solubility of the recombinant His-tagging DDX3, especially under 0.5 mM IPTG incubation at 18°C for 18 h to obtain more soluble DDX3 protein. Finally, the exogenous recombinant DDX3 protein was obtained with more than 95% purity by affinity purification on the Ni-NTA column and removal of miscellaneous through gel filtration chromatography. The finely-purified DDX3 still retained its ATPase activity.

CONCLUSION

A prokaryotic expression pNIC28-DDX3 system is constructed for efficient expression and affinity purification of bioactive DDX3 protein in E. coli BL21(DE3), which provides an important high-throughput screening and validation of drugs targeting DDX3.

Synthetic lethal interactions of DEAD/H-box helicases as targets for cancer therapy

DEAD/H-box helicases are implicated in virtually every aspect of RNA metabolism, including transcription, pre-mRNA splicing, ribosomes biogenesis, nuclear export, translation initiation, RNA degradation, and mRNA editing. Most of these helicases are upregulated in various cancers and mutations in some of them are associated with several malignancies. Lately, synthetic lethality (SL) and synthetic dosage lethality (SDL) approaches, where genetic interactions of cancer-related genes are exploited as therapeutic targets, are emerging as a leading area of cancer research. Several DEAD/H-box helicases, including DDX3, DDX9 (Dbp9), DDX10 (Dbp4), DDX11 (ChlR1), and DDX41 (Sacy-1), have been subjected to SL analyses in humans and different model organisms. It remains to be explored whether SDL can be utilized to identity druggable targets in DEAD/H-box helicase overexpressing cancers. In this review, we analyze gene expression data of a subset of DEAD/H-box helicases in multiple cancer types and discuss how their SL/SDL interactions can be used for therapeutic purposes. We also summarize the latest developments in clinical applications, apart from discussing some of the challenges in drug discovery in the context of targeting DEAD/H-box helicases.

Molecular docking, synthesis, and biological evaluation of 7-azaindole-derivative (7AID) as novel anti-cancer agent and potent DDX3 inhibitor:-an in silico and in vitro approach

The DEAD-box helicase family member DDX3 is involved in many diseases, such as viral infection, inflammation, and cancer. Many studies in the last decade have revealed the role of DDX3 in tumorigenesis and metastasis. DDX3 has both tumour suppressor and oncogenic effect, in the present study we have evaluated the expression levels of DDX3 in cervical squamous cell carcinoma at mRNA level via real-time PCR and protein level via Immunohistochemistry. DDX3 has become a molecule of interest in cancer biology that promotes drug resistance by adaptive response inevitably leading to treatment failure. One approach to avoid the development of resistant to disease is to create novel drugs that target the overexpressed proteins, we designed and synthesized a novel 7-azaindole derivative (7-AID) compound, {5-[1H-pyrrolo (2, 3-b) pyridin-5-yl] pyridin-2-ol]} that could lodge within the adenosine-binding pocket of the DDX3 (PDB ID: 2I4I). The binding efficacy of 7-AID compound with DDX3 was analysed by molecular docking studies. 7-AID was found to interact with the key residues Tyr200 and Arg202 from the Q-motif rendered by π-interactions and hydrogen bonds within the binding pocket with good docking score - 7.99 kcal/mol. The cytotoxicity effect of 7-AID compound was evaluated using MTT assay on human cervical carcinoma cells (HeLa) and breast cancer cells (MCF-7 and MDA MB-231) and the compound shown effective inhibitory concentration (IC₅₀) on Hela cells 16.96 µM/ml and 14.12 and 12.69 µM/ml on MCF-7 and MDA MB-231, respectively. Further, the in-vitro, in-vivo anti-cancer and anti-angiogenic assessment of 7-AID compound was evaluated on Hela cells using scratch wound-healing assay, DAPI staining, cell cycle analysis, immunoblotting, and chorioallontoic membrane assay. Furthermore, the inhibitory effect of derivative compound on DDX3 was investigated in HeLa, MCF-7, and MDA MB-231 cells at the mRNA and protein levels. The results showed that the 7-AID compound effectively inhibited DDX3 in a dose-dependent manner, and the findings suggest that the compound could be used as a potential DDX3 inhibitor.

DDX3X: structure, physiologic functions and cancer

The DEAD-box helicase family member DDX3X (DBX, DDX3) functions in nearly all stages of RNA metabolism and participates in the progression of many diseases, including virus infection, inflammation, intellectual disabilities and cancer. Over two decades, many studies have gradually unveiled the role of DDX3X in tumorigenesis and tumour progression. In fact, DDX3X possesses numerous functions in cancer biology and is closely related to many well-known molecules. In this review, we describe the function of DDX3X in RNA metabolism, cellular stress response, innate immune response, metabolic stress response in pancreatic β cells and embryo development. Then, we focused on the role of DDX3X in cancer biology and systematically demonstrated its functions in various aspects of tumorigenesis and development. To provide a more intuitive understanding of the role of DDX3X in cancer, we summarized its functions and specific mechanisms in various types of cancer and presented its involvement in cancer-related signalling pathways.