Expression Profile, Molecular Association, and Clinical Significance of POLD4 in Glioblastoma.

The POLD4 gene encodes a subunit (δ4) of DNA polymerase delta, which is a key enzyme involved in DNA replication and repair. Recent studies have suggested that POLD4 plays a crucial role in developing certain cancers. However, there is a lack of knowledge regarding the role of POLD4 in the context of glioblastoma (GBM). Therefore, in this study we have used various cancer bioinformatics tools to explore the role of POLD4 in glioblastoma. Data from various sources were accessed to analyze POLD4 gene expression and estimate tumor-infiltrating immune cells in glioblastoma. Methylation data were retrieved using the MEXPRESS web browser and analyzed. UALCAN webserver was used to analyze the protein expression of POLD4. Gene correlation and pathway enrichment analysis were performed using cBioPortal and GSEA software, respectively. Afterward, survival analysis was performed. POLD4 was significantly upregulated in glioblastoma at both gene and protein levels in GBM, and ROC curve analysis revealed it as a potential biomarker in glioblastoma. GSEA analysis of TCGA-GBM pan-cancer study exhibited that POLD4 expression was associated with critical pathways, such as interferon-gamma response, G2M checkpoint, inflammatory response, E2F targets, EMT transition, and KRAS signaling pathways. Furthermore, POLD4 expression was positively correlated with DNA methylation at 3 CpG sites, including Cg16509978, with a Pearson correlation coefficient value of 0.398 (p-value ≤ 0.01), while the promoter region had a positive correlation but was not significant. In addition, POLD4 is significantly linked with poor OS, PFS, and DFS. We also found association of POLD4 expression with altered immune cell infiltration. In conclusion, POLD4 is significantly upregulated in glioblastoma and may be used as a potential diagnostic or prognostic biomarker for GBM patients. However, to establish the same a large cohort study is needed. Using TCGA data and various cancer bioinformatics tools mentioned above we observed very high level of gene and protein expression of POLD4 in glioblastoma patients. The expression of POLD4 was significantly correlated with inflammatory and oncogenic pathways and it also has a significant correlation with adverse outcome in patients with glioblastoma.

Non-coding RNA in idiopathic interstitial pneumonia and Covid-19 pulmonary fibrosis.

Pulmonary fibrosis is the key feature of majority of idiopathic interstitial pneumonias (IIPs) as well as many patients with post-COVID-19. The pathogenesis of pulmonary fibrosis is a complex molecular process that involves myriad of cells, proteins, genes, and regulatory elements. The non-coding RNA mainly miRNA, circRNA, and lncRNA are among the key regulators of many protein coding genes and pathways that are involved in pulmonary fibrosis. Identification and molecular mechanisms, by which these non-coding RNA molecules work, are crucial to understand the molecular basis of the disease. Additionally, elucidation of molecular mechanism could also help in deciphering a potential diagnostic/prognostic marker as well as therapeutic targets for IIPs and post-COVID-19 pulmonary fibrosis. In this review, we have provided the latest findings and discussed the role of these regulatory elements in the pathogenesis of pulmonary fibrosis associated with Idiopathic Interstitial Pneumonia and Covid-19.

Prognostic relevance of surface expression of cytokine receptor-like factor 2 in pediatric B-lineage acute lymphoblastic leukemia.

Overexpression of cytokine receptor-like factor 2 (CRLF2) resulting from its genomic rearrangement is the most frequent genetic alteration found in Philadelphia chromosome-like (Ph-like) B-cell acute lymphoblastic leukemia (B-ALL), a high-risk leukemia. Detection of CRLF2 expression by multiparameter flow cytometry has been proposed as a screening tool for the identification of Ph-like B-ALL. However, the prognostic relevance of flow cytometric expression of CRLF2 in pediatric B-ALL is not very clear. Additionally, its association with common copy number alterations (CNA) has not been studied in detail. Hence, in this study, we prospectively evaluated the flow cytometric expression of CRLF2 in 256 pediatric B-ALL patients and determined its association with molecular features such as common CNAs detected using Multiplex ligation-dependent probe amplification and mutations in CRLF2, JAK2 and IL7RA genes. Further, its association with clinicopathological features including patient outcome was assessed. We found that 8.59% (22/256) pediatric B-ALL patients were CRLF2-positive at diagnosis. Among CNAs, CRLF2 positivity was associated with presence of PAX5 alteration (P=0.041). JAK2 and IL-7R mutations were found in 9% and 13.6% CRLF2-positive patients, respectively. IGH::CRLF2 or P2RY8::CRLF2 fusions were each found in 1/22 individuals. CRLF2-positive patients were found to have inferior overall (hazard ratio (HR) =4.39, P=0.006) and event free survival (HR=2.62, P=0.045), independent to other clinical features. Furthermore, concomitant CNA of IKZF1 in CRLF2 positive patients was associated with a greater hazard for poor overall and event free survival, compared to patients without these alterations or presence of any one of them. Our findings demonstrate that the surface CRLF2 expression in association with IKZF1 copy number alteration can be used to risk stratify pediatric B-ALL patients.