Oral premalignant lesions of smokers and non-smokers show similar carcinogenic pathways and outcomes. A clinicopathological and molecular comparative analysis.

BACKGROUND: Oral premalignant lesions (OPML) are frequently extensive and multifocal leading high morbidity for patients. Although oral squamous carcinoma (OSCC) in non-smoker patients is increasing, little is known about OPML and the carcinogenesis process in these patients. The aims of the study were to insight and compare the clinicopathological and molecular characteristics of OPML of non-smoker and smoker patients from which one or multiple OSCC have developed. METHODS: Eighty-one patients showing extensive and/or multifocal OPML were included in the survey. HPV and EBV were investigated by PCR and in situ hybridization respectively. Cytogenetic studies were performed by microarray in sequential progressive 30 lesions; p53 expression was investigated by immunohistochemistry. RESULTS: The patients were 41 males and 40 females, ages ranging from 32 to 93 years (median 64); 43 (53%) were smokers. Non-smokers were more frequently female with a median age of 68, whereas smokers were men with a median age of 60 (P = 0.005). HPV and EBV were negative in all cases. The most consistent and earliest cytogenetic alterations in both non-smokers and smokers were loss of heterozygosity (LOH) and losses of locus harboring tumor suppressor genes. Progression to high-grade dysplasia and OSCC showed progressive addition of LOH, tumor suppressor losses, and oncogenic gains. CONCLUSION: Non-smoker patients are mostly elderly female and show oral carcinogenic pathways and outcomes similar to smoker patients.

Transcriptome and cytogenetic profiling analysis of matched in situ/invasive cutaneous squamous cell carcinomas from immunocompetent patients.

Although most cutaneous squamous cell carcinomas (cSCCs) develop from actinic keratoses (AKs), the key events in this evolution remain unclear. We have combined the results of different genomic and expression array platforms on matched concomitant samples of sun-exposed skin (SES), AK, and cSCC from 10 immunocompetent patients. Gene expression analysis and copy number alterations were assessed using GeneChip Human Gene 2.0 ST Array (Affymetrix, Santa Clara, CA) and CytoScan HD Cytogenetics Solution (Affymetrix) platforms, respectively. Integration of transcriptome and genome results was evaluated using the DR-Integrator tool. Additional studies (qPCR, immunohistochemistry, and Western blot) were performed for selected genes. FOSL1 and BNC1 encode transcription factors whose expression was increased in cSCC in the expression array and the qPCR. By immunohistochemistry, FOSL1 showed an intense staining at the invasive front of cSCC samples and BNC1 expression varied from a nuclear (SES) to a cytoplasmic location (cSCC). Western blot analyses confirmed the enhancement of FOSL1 and BNC1. In addition, the smallest overlapping regions (SORIs) of genomic imbalance involving at least three of the samples were selected. One of the SORIs was a deletion in the p24.1 band of chromosome 3, shared by seven of the cSCCs. A strong correlation in the integration analysis was found for NEK10, a gene contained in the previously mentioned SORI. Loss of NEK10 expression in cSCC was confirmed by immunohistochemistry and Western blot analyses. In addition, functional studies in NEK10 depleted cells were performed. In conclusion, we identified FOSL1 and BNC1, which could act as tumor drivers, and NEK10, which could function as a tumor suppressor, to be differentially expressed during cSCC development.

Whole-Blood Gene Expression Profiles Associated with Mortality in Community-Acquired Pneumonia.

(1) Background: Information regarding gene expression profiles and the prognosis of community-acquired pneumonia (CAP) is scarce. We aimed to examine the differences in the gene expression profiles in peripheral blood at hospital admission between patients with CAP who died during hospitalization and those who survived. (2) Methods: This is a multicenter study of nonimmunosuppressed adult patients who required hospitalization for CAP. Whole blood samples were obtained within 24 h of admission for genome-expression-profile analysis. Gene expression profiling identified both differentially expressed genes and enriched gene sets. (3) Results: A total of 198 samples from adult patients who required hospitalization for CAP were processed, of which 13 were from patients who died. Comparison of gene expression between patients who died and those who survived yielded 49 differentially expressed genes, 36 of which were upregulated and 13 downregulated. Gene set enrichment analysis (GSEA) identified four positively enriched gene sets in survivors, mainly associated with the interferon-alpha response, apoptosis, and sex hormone pathways. Similarly, GSEA identified seven positively enriched gene sets, associated with the oxidative stress, endoplasmic reticulum stress, oxidative phosphorylation, and angiogenesis pathways, in the patients who died. Protein-protein-interaction-network analysis identified FOS, CDC42, SLC26A10, EIF4G2, CCND3, ASXL1, UBE2S, and AURKA as the main gene hubs. (4) Conclusions: We found differences in gene expression profiles at hospital admission between CAP patients who died and those who survived. Our findings may help to identify novel candidate pathways and targets for potential intervention and biomarkers for risk stratification.

Dynamics of Gene Expression Profiling and Identification of High-Risk Patients for Severe COVID-19.

The clinical manifestations of SARS-CoV-2 infection vary widely, from asymptomatic infection to the development of acute respiratory distress syndrome (ARDS) and death. The host response elicited by SARS-CoV-2 plays a key role in determining the clinical outcome. We hypothesized that determining the dynamic whole blood transcriptomic profile of hospitalized adult COVID-19 patients and characterizing the subgroup that develops severe disease and ARDS would broaden our understanding of the heterogeneity in clinical outcomes. We recruited 60 hospitalized patients with RT-PCR-confirmed SARS-CoV-2 infection, among whom 19 developed ARDS. Peripheral blood was collected using PAXGene RNA tubes within 24 h of admission and on day 7. There were 2572 differently expressed genes in patients with ARDS at baseline and 1149 at day 7. We found a dysregulated inflammatory response in COVID-19 ARDS patients, with an increased expression of genes related to pro-inflammatory molecules and neutrophil and macrophage activation at admission, in addition to an immune regulation loss. This led, in turn, to a higher expression of genes related to reactive oxygen species, protein polyubiquitination, and metalloproteinases in the latter stages. Some of the most significant differences in gene expression found between patients with and without ARDS corresponded to long non-coding RNA involved in epigenetic control.

Circulating microRNA profiling is altered in the acute respiratory distress syndrome related to SARS-CoV-2 infection.

One of the hallmarks of SARS-CoV-2 infection is an induced immune dysregulation, in some cases resulting in cytokine storm syndrome and acute respiratory distress syndrome (ARDS). Several physiological parameters are altered as a result of infection and cytokine storm. Among them, microRNAs (miRNAs) might reflect this poor condition since they play a significant role in immune cellular performance including inflammatory responses. Circulating miRNAs in patients who underwent ARDS and needed mechanical ventilation (MV+; n = 15) were analyzed by next generation sequencing in comparison with patients who had COVID-19 poor symptoms but without intensive care unit requirement (MV-; n = 13). A comprehensive in silico analysis by integration with public gene expression dataset and pathway enrichment was performed. Whole miRNA sequencing identified 170 differentially expressed miRNAs between patient groups. After the validation step by qPCR in an independent sample set (MV+ = 10 vs. MV- = 10), the miR-369-3p was found significantly decreased in MV+ patients (Fold change - 2.7). After integrating with gene expression results from COVID-19 patients, the most significant GO enriched pathways were acute inflammatory response, regulation of transmembrane receptor protein Ser/Thr, fat cell differentiation, and regulation of biomineralization and ossification. In conclusion, miR-369-3p was altered in patients with mechanical ventilation requirement in comparison with COVID-19 patients without this requirement. This miRNA is involved in inflammatory response which it can be considered as a prognosis factor for ARDS in COVID-19 patients.