TMPO-AS1-hsa-let-7b-5p-EZH2-RNA network predicts poor survival in basal-like breast cancer patients.

Background: The study explores the role of non-coding ribonucleic acids (ncRNAs) and higher enhancer of zeste homolog 2 (EZH2) gene in breast cancer progression, examining how microRNA (miRNA) and long noncoding RNA (lncRNA) control EZH2, potentially influencing oncogene growth and treatment failure.

Materials And Methods: The databases used in the study included Cyclebase 3.0 and CellTracer to determine EZH2's role in cell cycle, Oncomine, OncoMX and The University of Alabama At Birmingham Cancer Data Analysis Portal (UALCAN) for Pan-cancer analysis, The Cancer Genomic Atlas Portal (TCGA Portal), Gene Expression Profiling Interactive Analysis (GEPIA2), OncoDB, CR2Cancer, Encyclopaedia of RNA Interactomes (ENCORI), and The Cancer Genome Altas Analyzer (TCGAnalyzeR v1.

In-silico analysis of CEP55/E2F1/hsa-let-7b-5p/TMPO-AS1 axis-based ceRNA network promoting poor prognosis in lung adenocarcinoma smokers.

Introduction: Smoking causes severe lung adenocarcinoma. High CEP55 expression correlates with clinico-pathological features, suggesting the mRNA/miRNA/lncRNA-ceRNA network's crucial to prognosis.

Methods: The study used databases like TIMER 2.

hsa-let-7b-5p/TMPO-AS1-mediated ceRNA networks are linked to poor prognosis for lung cancer patients with FOXM1/MAD2L1 axis.

Objectives: MAD2L1, a spindle assembly checkpoint molecule, is associated in cancer cell proliferation and carcinogenesis, although its ceRNA network is unknown.

Methods: Initially, patient's survivability associated with the gene expression was analysed by using the Kaplan-Meier plotter database. Here, we used several TCGA databases such as UALCAN, OncoDB, ENCORI, lung cancer explorer, GEPIA2, TCGAnalyzer, and CancerMIRNome to identify differential mRNA, miRNA, and lncRNA expression.

In Silico Analysis Revealed a Role for NUSAP1 in Lung Adenocarcinoma through E2F1/hsa-let-7b-5p/lncRNA-TMPO-AS1.

Objectives: Nucleolar and spindle-associated protein 1 (NUSAP1) is crucial for chromosomal segregation and spindle assembly, its expression correlates with high morbidity and mortality rates, necessitating better understanding of prognosis-related networks.

Methods: The study used databases like KM Plotter, TNMplot, UALCAN, OncoMX, GEPIA2, OncoDB, ENCORI, TIMER 2.0, CancerSEA, miRNet, CellTracer, TISIDB, GSCA, and the Enrichr database to analyze NUSAP1 expression in lung cancer tumors and normal tissues.

In smokers, the axis NCAPG/hsa-let-7b-5p/TMPO-AS1 promotes lung adenocarcinoma.

Background: Smoking is linked to high morbidity and mortality rates of lung cancer, emphasizing the need for a better understanding of prognosis-related mRNA/miRNA/lncRNA-ceRNA networks.

Materials And Methods: The study utilized databases like OncoMX, The University of ALabama at Birmingham CANcer data (UALCAN), OncoDB, ENCORI, Kaplan-Meier (KM) Plotter, miRNet, CancerMIRNome, TISIDB, and TIMER2.0 to analyze /miRNA and LncRNA expression in lung cancer tumors and healthy tissues.

Polymeric Nanoparticles Revolutionizing Brain Cancer Therapy: A Comprehensive Review of Strategies and Advances.

Brain cancer continues to be one of the most formidable malignancies to manage, mainly attributable to the presence of the blood-brain barrier (BBB) limiting the permeability of drugs and the diverse characteristics of brain tumors complicating treatment. The management of brain tumors has been hampered by many different factors, including the impermeability of the BBB, which restricts the delivery of chemotherapeutic agents to the tumor site, as well as intertumoral heterogeneity and the influence of brain tumor stem cells. In addition, small molecular weight drugs cannot specifically accumulate in malignant cells and have a limited circulation half-life.