Expression analysis of necroptosis related genes and lncRNAs in patients with pituitary neuroendocrine tumors.

Necroptosis can either be the cause of tumorigenesis or it can impede its process. Recently, it has been proved that long non-coding RNAs (lncRNAs) have different crucial roles at cellular level, especially on cell death. Regarding the important role of necroptosis and lncRNAs in the pathogenesis of different cancers, especially pituitary adenomas (PAs), we assessed expression levels of two necroptosis related genes, namely TRADD and BIRC2, in addition to three related lncRNAs, namely FLVCR1-DT, MAGI2-AS3, and NEAT1 in PAs compared with adjacent normal tissues (ANTs). TRADD had no significant difference between two groups; however, BIRC2, FLVCR1-DT, MAGI2-AS3, and NEAT1 were upregulated in PAs compared to ANTs (Expression ratios [95% CI] = 2.3 [1.47-3.6], 2.13 [1.02-4.44], 3.01 [1.76-5.16] and 2.47 [1.37-4.45], respectively). When taking into account different types of PAs, significant upregulation of BIRC2, MAGI2-AS3 and NEAT1 was recorded in non-functioning PAs compared with corresponding ANTs (Expression ratios [95% CI] =1.9 [1.04-3.43], 2.69 [1.26-5.72] and 2.22 [0.98-5.01], respectively). Additionally, higher levels of BIRC2 were associated with higher flow of CSF (P value=0.048). Moreover, higher Knosp classified tumors had lower levels of BIRC2 (P value=0.001). Finally, lower levels of MAGI2-AS3 were associated with larger tumor size (P value=0.006). NEAT1 expression was correlated with FLVCR1-DT and TRADD. TRADD expression was correlated with FLVCR1-DT. Additional correlation was observed between expression of BIRC2 and MAGI2-AS3. In sum, this study provides evidence that dysregulated levels of studied genes could contribute to the pathogenesis of pituitary tumors.

Amplification of different satellite-DNAs in prostate cancer.

In various solid tumors and corresponding cell lines, prior research has identified acquired copy number variations (CNVs) encompassing centromeric satellite-DNA sequences. This observation emerged from the application of centromeric probes (satellite-DNA) as controls in molecular cytogenetic investigations and diagnostics, although these accounts were largely anecdotal. In this study, we conducted a systematic screening for satellite-DNA sequence amplification in 31 prostate cancer (PCa) samples, a prevalent malignancy in men characterized by discernible molecular cytogenetic aberrations. Notably, PCa-typical genetic aberrations, such as TMPRSS2-ERG gene rearrangements and PTEN deletion, were identified in 12 and 6 out of the 31 PCa samples, respectively. Overall, PCa exhibited genomic instability marked by chromosomal gain or loss of signals across nearly all tested satellite-DNA regions, with particular emphasis on the Y-chromosome (18/31 cases). Remarkably, 5/12 PCa samples representing more advanced metastatic cancer displayed amplification of one or two satellite DNA stretches each, being detectable as blocks analogous to homogenously staining regions. Notably, these stretches included α-satellite DNA derived from chromosomes 2, 3, 4, 15, and 20, as well as satellite-III DNAs (D1Z1 and DYZ1). These findings align with recent discoveries indicating that α-satellite DNAs are expressed as long-non-coding RNAs in advanced cancer, particularly in the context of PCa.

Integrated bioinformatics approaches and expression assays identified new markers in pituitary adenomas.

Pituitary adenomas (PA) include about one third of primary central nervous tumors in adolescent and young adult. Despite extensive research, the underlying mechanism of PA tumorigenesis is still unknown. In the present study, through bioinformatics analysis of a PA-related dataset downloaded from GEO database, we attempted to identify pair(s) of lncRNA/target mRNA whose expression changes may be involved in the tumorigenesis of PAs. For this end, we evaluated expression of a set of bioinformatically obtained genes in 46 PA tissues against adjacent non-tumor pituitary tissues. The bioinformatics step led to selection of four genes for validation through expression assays. Expression levels of HIF1A and MAPK1 were increased in NFPA tissues (P < 0.0001 and =0.0042, respectively). Expression level of BANCR was significantly decreased in tumor tissues (P < 0.0001). However, expression of STAT3 was not meaningfully different between the two tissue types (P = 0.56). Since there was no significant correlation between MAPK1 and BANCR expressions in either tumor or adjacent normal tissues, the regulatory effect of BANCR on MAPK1 was not confirmed. In conclusion, this study offers information about deregulation of bioinformatically identified genes in PA tumors and indicates that further studies in this field is needed to understand the involved molecular mechanisms.

A bioinformatics-based approach and expression assay for identification of dysregulated genes in pituitary adenoma.

Non-functioning pituitary adenomas (NFPAs) are a group of pituitary neuroendocrine tumors that are associated with morbidity. The exact pathophysiological process leading to this pathology is not known. Nerve growth factor (NGF) is a neurotropic factor that might be involved in this process. We used bioinformatics tools to analyze expression of genes in NFPA samples. Our analyses led to identification of NGF-related genes, namely ARC, ID1, and SH3GL3 - as well as one long non-coding RNA (lncRNA) called myocardial infarction associated transcript (MIAT). Then, we assessed their expression in NFPAs and their adjacent non-cancerous samples. While expression levels of SH3GL3 and MIAT were different between NFPA samples and control samples, expressions of ARC and ID1 were not meaningfully different between these two groups of specimens. SH3GL3 was over-expressed in NFPA samples compared with control samples (expression ratio (95% CI)= 8.22 (1.51-44.6), P value= 0.03). Similarly, expression of MIAT was higher in NFPAs compared with controls (expression ratio (95% CI)= 7.7 (1.7-33.6), P value= 0.009). Taken together, we validated the bioinformatics results regarding the expression of SH3GL3 and MIAT. This study provides a deeper understanding of the involvement of these genes in the pituitary tumorigenesis.

Mucormycosis, New Causative Agents, and New Susceptible Populations: Review of Cases in a Tertiary Care Hospital in Iran (2007-2021).

Background: Mucormycosis is an aggressive opportunistic fungal infection that afflicts patients with severe underlying immunosuppression, uncontrolled hyperglycemia and/or ketoacidosis, iron overload, and occasionally healthy patients who are inoculated with fungal spores through traumatic injuries. The epidemiology of mucormycosis has changed after the COVID-19 pandemic, with mucormycosis becoming the most common and the fatal coinfection. Methods: In a retrospective, cross-sectional study, 82 hospitalized patients with a definite diagnosis of mucormycosis were reported from 2007 to 2021 in a referral, tertiary care center in Tehran, Iran. Results: The number of post-COVID cases increased 4.6 times per year, with 41.5% of patients admitted during the two years of the pandemic. Mucormycosis was more common in women (57.3%), and the most common underlying diseases were diabetes (43.7%), both COVID-19 and diabetes (23.2%), cancer (11%), rheumatic diseases (7.3%), COVID-19 without other underlying diseases (6.1%), and transplantation (4.9%). Rhino-orbito-cerebral Mucormycosis (54.9%) followed by Sino-orbital infection (23.2%) was the most common presentation. There was a significant relationship between the use of immunosuppressive agents and the development of Mucormycosis (P<0.005) The average mortality was 41.5%, but this ratio decreased to 35% during the pandemic era. Conclusion: The COVID-19 pandemic caused a 4.6-fold increase in the number of mucormycosis patients, and there was a significant relationship between hyperglycemia, corticosteroid use, and mucormycosis. The death rate during the COVID-19 pandemic has decreased by 6.5%, and during the COVID period, the interval between the arrival of a patient with mucormycosis and the start of the correct treatment was significantly decreased.

Expression analysis of PPAR-related lncRNAs in breast cancer.

Breast cancer is a genetically heterogeneous disorder associated with dysregulation of several genes. Peroxisome proliferator-activated receptor gamma (PPARγ) is a ligand-dependent transcription factor that is expressed by many tumoral cells such as transformed breast cancer cells. We investigated expressions of nine PPARγ-related lncRNAs, namely KCNIP2-AS1, TRHDE-AS1, FAM13A-AS1, ALDH1A1-AS2, SH3BP5-AS1, HID1-AS1, LINC01140, LIPE-AS1 and ABCA9-AS1 in paired breast cancer samples and non-tumoral tissues. Expression assays showed lower expression levels of TRHDE-AS1, ALDH1L1-AS2, KCNIP2-AS1, ABCA9-AS1, LIPE-AS1 and LINC01140 in tumoral compared with non-tumoral samples. The mentioned genes could differentiate between breast tumors and non-tumoral samples with AUC values ranging from 0.77 to 0.62 for LINC01140 and LIPE-AS1, respectively. The highest specificity and sensitivity values were reported for KCNIP2-AS1 and LINC01140, respectively. Significant correlations were reported between all pairs of genes in both tumoral and non-tumoral tissues. The most robust ones were between ABCA9-AS1 and KCNIP2-AS1 (correlation coefficient=0.85) in non-tumoral tissues and between LIPE-AS1 and TRHDE-AS1 (correlation coefficient=0.83) in tumoral tissues. There was a significant negative association between expression levels of KCNIP2-AS1 gene in tumor tissues and different histological grades. Besides, there was a significant negative association between expression levels of FAM13A-AS1, KCNIP2-AS1and LIPE-AS1 genes in tumor tissues and different mitotic rates. Taken together, PPARγ-related lncRNAs might be regarded as potential contributors to the pathogenesis of breast cancer.

Identification of diagnostic biomarkers via weighted correlation network analysis in colorectal cancer using a system biology approach.

Colorectal cancer (CRC) is the third most frequent cancer to be diagnosed in both females and males necessitating identification of effective biomarkers. An in-silico system biology approach called weighted gene co-expression network analysis (WGCNA) can be used to examine gene expression in a complicated network of regulatory genes. In the current study, the co-expression network of DEGs connected to CRC and their target genes was built using the WGCNA algorithm. GO and KEGG pathway analysis were carried out to learn more about the biological role of the DEmRNAs. These findings revealed that the genes were mostly enriched in the biological processes that were involved in the regulation of hormone levels, extracellular matrix organization, and extracellular structure organization. The intersection of genes between hub genes and DEmRNAs showed that DKC1, PA2G4, LYAR and NOLC1 were the clinically final hub genes of CRC.

The interaction between miRNAs and hazardous materials.

Toxic agents are broadly present in the environment, households, and workplaces. Contamination of food and drinking water with these agents results in entry of these materials to the body. The crosstalk between these agents and microRNAs (miRNAs) affects pathoetiology of several disorders. These agents can influence the redox status, release of inflammatory cytokines and mitochondrial function. Altered expression of miRNA is involved in the dysregulation of several pathophysiological conditions and signaling pathways. These molecules are also implicated in the adaption to environmental stimuli. Thus, the interactions between miRNAs and toxic materials might participate in the hazardous effects of these materials in the body. This review describes the effects of the toxic materials on miRNAs and the consequences of these interactions on the human health.

Single cell RNA-seq analysis with a systems biology approach to recognize important differentially expressed genes in pancreatic ductal adenocarcinoma compared to adjacent non-cancerous samples by targeting pancreatic endothelial cells.

Pancreatic ductal adenocarcinoma (PDAC) is a cancer that is usually diagnosed at late stages. This highly aggressive tumor is resistant to most therapeutic approaches, necessitating identification of differentially expressed genes to design new therapies. Herein, we have analyzed single cell RNA-seq data with a systems biology approach to identify important differentially expressed genes in PDAC samples compared to adjacent non-cancerous samples. Our approach revealed 1462 DEmRNAs, including 1389 downregulated DEmRNAs (like PRSS1 and CLPS) and 73 upregulated DEmRNAs (like HSPA1A and SOCS3), 27 DElncRNAs, including 26 downregulated DElncRNAs (like LINC00472 and SNHG7) and 1 upregulated DElncRNA (SNHG5). We also listed a number of dysregulated signaling pathways, abnormally expressed genes and aberrant cellular functions in PDAC which can be used as possible biomarkers and therapeutic targets in this type of cancer.

Dysregulation of non-coding RNAs in Wilms tumor.

Wilms tumor (WT) as the most frequent pediatric tumor of kidney has been shown to be associated with dysregulation of non-coding RNAs. miR-200c, miR-155-5p, miR-1180, miR-22-3p, miR-483-5p, miR-140-5p, miR-92a-3p, miR-483-3p, miR-572, miR-539 and miR-613 are among dysregulated miRNAs in this tumor. Moreover, a number of long non-coding RNAs such as CRNDE, XIST, SNHG6, MEG3, LINC00667, MEG8, DLGAP1-AS2 and SOX21-AS1 have been shown to be dysregulated in WT. Finally, distinct studies have reported down-regulation of circCDYL and up-regulation of circ0093740 and circSLC7A6 in this tumor. Dysregulation of these transcripts represents a new avenue for identification of the pathetiology of this pediatric tumor as well as design of targeted therapies.

Exosomal circular RNAs: New player in breast cancer progression and therapeutic targets.

Breast cancer is the most prevalent type of malignancy among women. Exosomes are extracellular vesicles of cell membrane origin that are released via exocytosis. Their cargo contains lipids, proteins, DNA, and different forms of RNA, including circular RNAs. Circular RNAs are new class of non-coding RNAs with a closed-loop shape involved in several types of cancer, including breast cancer. Exosomes contained a lot of circRNAs which are called exosomal circRNAs. By interfering with several biological pathways, exosomal circRNAs can have either a proliferative or suppressive role in cancer. The involvement of exosomal circRNAs in breast cancer has been studied with consideration to tumor development and progression as well as its effects on therapeutic resistance. However, its exact mechanism is still unclear, and there have not been available clinical implications of exo-circRNAs in breast cancer. Here, we highlight the role of exosomal circRNAs in breast cancer progression and to highlight the most recent development and potential of circRNAas therapeutic targets and diagnostics for breast cancer.

Expression analysis of Rho GTPase-related lncRNAs in breast cancer.

The Rho GTPases have prominent roles in cell cycle transition and cell migration. Some members of this family have been found to be mutated in cancers. Moreover, alterations in expression levels and/or activity of these proteins have been reported in many types of cancers. Thus, Rho GTPases are involved in the carcinogenesis. Rho GTPases regulate growth, motility, invasiveness and metastatic ability of breast cancer cells. Long non-coding RNAs (lncRNAs) have been revealed to exert significant effect in the regulation of these proteins via direct routes or through sequestering microRNAs that inhibit Rho GTPases. We aimed to assess expression levels of four Rho GTPase-related lncRNAs, namely NORAD, RAD51-AS1, NRAV and DANCR in breast cancer samples versus non-cancerous specimens from the same individuals. Expression levels of NORAD were shown to be elevated in tumoral tissues compared with non-tumoral tissues (Expression ratio (95% CI)= 5.85 (3.16-10.83), Standard error of mean (SEM)= 0.44, P value< 0.0001). NRAV expression was also higher in tumoral tissues compared with control tissues (Expression ratio=2.85 (1.52-5.35), SEM= 0.45, P value= 0.0013). Similar to these lncRNAs, RHOA was demonstrated to be up-regulated in malignant tissues (Expression ratio=6.58 (3.17-13.63), SEM= 0.52, P value< 0.0001). Although expression ratio values showed up-regulation of RAD51-AS1 and DANCR in cancerous tissues (Expression ratio (95% CI)= 2.2 (1.05-4.6) and 1.35 (0.72-2.53), respectively), P values did not reach significance level (P values=0.0706 and 0.3746, respectively). There were significant associations between expression level of NRAV gene in tumor tissues and a number of parameters including age, histological tumor grade and tubule formation. Taken together, the current study shows dysregulation of a number of RHOA-related lncRNAs in breast cancer in association with abnormal up-regulation of this member of Rho GTPase family and suggests conduction of additional functional studies to unravel their mode of participation in the breast carcinogenesis.

NRF2 signaling pathway: A comprehensive prognostic and gene expression profile analysis in breast cancer.

Breast cancer is the most frequently diagnosed malignant tumor in women and a major public health concern. NRF2 axis is a cellular protector signaling pathway protecting both normal and cancer cells from oxidative damage. NRF2 is a transcription factor that binds to the gene promoters containing antioxidant response element-like sequences. In this report, differential expression of NRF2 signaling pathway elements, as well as the correlation of NRF2 pathway mRNAs with various clinicopathologic characteristics, including molecular subtypes, tumor grade, tumor stage, and methylation status, has been investigated in breast cancer using METABRIC and TCGA datasets. In the current report, our findings revealed the deregulation of several NRF2 signaling elements in breast cancer patients. Moreover, there were negative correlations between the methylation of NRF2 genes and mRNA expression. The expression of NRF2 genes significantly varied between different breast cancer subtypes. In conclusion, substantial deregulation of NRF2 signaling components suggests an important role of these genes in breast cancer. Because of the clear associations between mRNA expression and methylation status, DNA methylation could be one of the mechanisms that regulate the NRF2 pathway in breast cancer. Differential expression of Hippo genes among various breast cancer molecular subtypes suggests that NRF2 signaling may function differently in different subtypes of breast cancer. Our data also highlights an interesting link between NRF2 components' transcription and tumor grade/stage in breast cancer.

Expression of Treg-associated lncRNAs in breast cancer.

Regulatory T cells (Tregs) have important functions in tumor microenvironment, particularly for induction of immune evasion. In order to find the underlying mechanism of dysregulation of Tregs in breast cancer tissues, we designed the current study to appraise expression of five Treg-related long non-coding RNAs (lncRNAs), namely FLICR (FOXP3 Regulating Long Intergenic Non-Coding RNA), NEST (IFNG-AS1), RMRP (RNA Component of Mitochondrial RNA Processing Endoribonuclease), MAFTRR (MAF Transcriptional Regulator RNA) and TH2-LCR (Th2 Cytokine Locus Control Region) in paired breast cancer and nearby noncancerous tissues. Expression levels of RMRP, TH2-LCR, MAFTRR and GATA3-AS1 were significantly higher in breast cancer samples compared with non-tumoral tissues. The calculated AUC values for GATA3-AS1, TH2-LCR, RMRP and MAFTRR were 0.66, 0.63, 0.63 and 0.60, respectively. There were significant positive associations between expression level of RMRP gene in tumor tissues and nuclear grade, tubule formation and tumor sizes. In addition, there was a significant positive association between expression levels of MAFTRR genes in tumor tissues and nuclear grade. Besides, expression levels of FLICR were different among tumors with different levels of HER2/neu receptor. Taken together, Treg-associated lncRNAs might contribute to the pathogenesis of breast cancer.

Role of lncRNAs and circRNAs in epilepsy.

Epilepsy is a chronic disorder of with a high prevalence and extensive health burden in almost all age groups of the population. This condition is resulted from disturbance in the balance between excitatory and inhibitory factors in the brain. Genetic elements that affect synaptic connectivity, receptors functions or ion channels have been shown to predispose individuals to the epilepsy. More recently, a body of evidence points to the role of non-coding part of the transcriptome in the pathology of epilepsy. Expression levels of NEAT1, H19, PVT1, ILF3-AS1, GAS5, ZFAS1, UCA1, MALAT1 and SNHG1 have been changed in epileptic patients or animal models of epilepsy. Moreover, circ_ANKMY2, circRNA-0067835 and circHivep2 are among circRNAs which are involved in the pathogenesis of epilepsy. Although the mechanistical impact of these transcripts in the pathogenesis of epilepsy has not been fully explored, disturbances in neuron plasticity, apoptosis or differentiation might be implicated in this process. Expression levels of lncRNAs can be used for discrimination of epileptic patients from normal controls or refractory patients from non-refractory ones. JAK/STAT, Wnt, PI3K/AKT and NF-κB signaling pathways are among the regulated pathways by lncRNAs in the context of epilepsy. In the present review, we summarize the role of lncRNAs and circRNAs in the pathogenesis of epilepsy.

Accuracy of Paris 2016 System for Non-invasive Diagnosis Bladder Malignancy.

Background & Objective: The Paris System for Reporting Urinary Cytology (TPS) is a new method for evaluating urinary cytology designed to reduce unreproducible reports. The aim of this study was to reclassify and compare urinary cytology reports with TPS criteria to determine the frequency of unreproducible reports compared to the previous system. Methods: In this study, the laboratory electronic registration system analyzed patients' urine samples taken by voided or washing and brushing methods. The cytological evaluation was performed considering the previous system and TPS by a pathologist. The results of the two systems were compared, and the sensitivity and specificity of TPS were calculated. Results: Urine samples were taken from 876 patients. The mean age of patients was 63.36 ± 12.62. Comparing the routine classification system and TPS, it was observed that the number of atypical reports in the TPS system decreased by 12%, and all of these cases were downgraded to the negative group in the new classification. The sensitivity and specificity of TPS were 29.4% and 95.1%, respectively, if suspected malignancy and positive reports for malignancy were considered. Finally, if positive reports for malignancy were selected, sensitivity and specificity changed to 11.8% and 100%, respectively. Conclusion: Although the TPS system has low sensitivity for the diagnosis of urothelial malignancies, due to its high specificity, it is possible to consider and use this classification for screening patients.

Role of PI3K/AKT pathway in squamous cell carcinoma with an especial focus on head and neck cancers.

PI3K/AKT pathway is an important pathway in the carcinogenesis since it has central impacts in the regulation of metabolic pathways, cell proliferation and survival, gene expression and protein synthesis. This pathway has been reported to be dysregulated in several types of cancers. In the current review, we summarize the role of this signaling pathway in squamous cell carcinomas (SCCs) originated from different parts of body cervix, oral cavity, head and neck and skin. The data presented in the current review shows the impact of dysregulation of PI3K/AKT pathway in survival of patients with SCC. Moreover, targeted therapies against this pathway have been found to be effective in reduction of tumor burden both in animal models and clinical settings. Finally, a number of molecules that regulate PI3K/AKT pathway can be used as diagnostic markers for different types of SCCs.

Aggressive prolactinomas responsive to temozolomide treatment: Report of two cases.

Refractory aggressive prolactinomas are detected after the unresponsiveness to conventional therapies. We report two cases that underwent temozolomide treatment and have been in near-complete remission ever since. We suggest the pathology techniques for earlier detection and, subsequently, treatment with temozolomide to reduce morbidities and better respond to therapy.

Interaction Between Non-Coding RNAs and Interferons: With an Especial Focus on Type I Interferons.

Interferons (IFNs) are a group of cellular proteins with critical roles in the regulation of immune responses in the course of microbial infections. Moreover, expressions of IFNs are dysregulated in autoimmune disorders. IFNs are also a part of immune responses in malignant conditions. The expression of these proteins and activities of related signaling can be influenced by a number of non-coding RNAs. IFN regulatory factors (IRFs) are the most investigated molecules in the field of effects of non-coding RNAs on IFN signaling. These interactions have been best assessed in the context of cancer, revealing the importance of immune function in the pathoetiology of cancer. In addition, IFN-related non-coding RNAs may contribute to the pathogenesis of neuropsychiatric conditions, systemic sclerosis, Newcastle disease, Sjögren's syndrome, traumatic brain injury, lupus nephritis, systemic lupus erythematosus, diabetes mellitus, and myocardial ischemia/reperfusion injury. In the current review, we describe the role of microRNAs and long non-coding RNAs in the regulation of IFN signaling.