Assessment of Association between NINJ2 Polymorphisms and Suicide Attempts in an Iranian Population.

Suicidal behavior as a psychological problem with high public health burden is associated with a number of genetically determined risk factors. In the current study, we investigated the association between two polymorphisms within the NINJ2 gene and risk of suicide in an Iranian population. The study included 295 individuals who attempted suicide with soft suicide methods, 234 suicide victims and 410 normal controls. The rs11833579 SNP was associated with death from suicide in a codominant model in that the AG genotype decreased the risk of death from suicide compared with the GG genotype (OR (95% CI) = 0.49 (0.34-0.71), adjusted P value = 4e-04). This SNP was also associated with death from suicide in dominant (AG + AA versus GG: OR (95% CI) = 0.63 (0.46-0.87), adjusted P value = 0.011) and overdominant (AG versus GG + AA: OR (95% CI) = 0.49 (0.35-0.69), adjusted P value < 0.0001) models. In addition, this SNP was associated with soft suicide attempts in a codominant model (AG versus AA + GG: OR (95% CI) = 0.7 (0.5-0.98), adjusted P value = 0.02). The rs3806263 SNP was associated with death from suicide in allelic (A versus G: OR (95% CI) = 1.48 (1.17-1.88), adjusted P value = 0.002), codominant (AA versus GG: OR (95% CI) = 3.14 (1.89-5.21), adjusted P value < 0.0001), recessive (AA versus GG + AG: OR (95% CI) = 3.47 (2.15-5.61), adjusted P value < 0.0001), overdominant (AG versus AA + GG: OR (95% CI) = 0.62 (0.45-0.87), adjusted P value = 0.0092) and log-additive models (OR (95% CI) = 1.45 (1.15-1.83), adjusted P value = 0.0034). When comparing allele/genotype frequencies of this SNP between suicide victims and soft suicide attempters, significant associations were found in allelic, codominant, recessive and log-additive models. The AG haplotype (rs11833579 and rs3806263, respectively) was significantly less prevalent among suicide victims compared with controls (OR (95% CI) = 0.37 (0.26-0.52), adjusted P value < 0.0001). This haplotype was also less prevalent among suicide victims vs. soft suicide attempters (OR (95% CI) = 0.43 (0.31-0.61), adjusted P value < 0.0001). The GA haplotype (rs11833579 and rs3806263, respectively) was less frequent among suicide victims compared with controls (OR (95% CI) = 0.63 (0.45-0.89), adjusted P value = 0.0156). Finally, the AA haplotype was more prevalent among suicide victims compared with both controls (OR (95% CI) = 2.37 (1.56-3.6), adjusted P value = 0.0002) and soft suicide attempters (OR (95% CI) = 1.92 (1.32-2.78), adjusted P value = 0.0012). Thus, these two SNPs might be regarded as genetic determinants of suicide risk in Iranian populations. Further studies in different populations are needed to verify these results.

Expression assessment of a panel of long non-coding RNAs in gastric malignancy.

BACKGROUND: Long non-coding RNAs (lncRNAs) have several important functions in the regulation of cell homeostasis and cell fate. Consequently, abnormal transcription of lncRNAs has been correlated with malignant transformation of cells. These human transcripts have been shown to participate in the progression of gastric cancer. METHODS: In the current project, we evaluated expression of a panel of lncRNAs including HULC, MALAT1, FAS-AS1, GAS5, PVT1, OIP5-AS1 and THRIL in 30 gastric cancer tissues and paired adjacent non-cancerous tissues (ANCTs) using quantitative real-time PCR. RESULTS: HULC, OIP5-AS1 and THRIL transcription quantities were significantly lower in gastric tumors compared to ANCTs (P values = .02, 0.02 and 0.007, respectively). Relative transcription quantities of HULC, MALAT1, OIP5-AS1, PVT1, FAS-AS1 and THRIL were associated with the site of the primary tumor (P values = .002, 0.003, 0.002, 0.002, 0.002, and 0.001, respectively). Moreover, relative expression levels of PVT1 were associated with history of smoking (P value = .04). Correlations were identified between transcript quantities of these lncRNAs in both tumor samples and ANCTs. Receiver operating characteristic curve assessment demonstrated that THRIL had the highest diagnostic power among the mentioned lncRNAs (area under curve (AUC) = 0.72, P value = .001). HULC and OIP5-AS1 ranked afterwards (AUC values of 0.69 and 0.68; P values = .005 and 0.007, respectively). CONCLUSION: The current investigation underscores the dysregulation of these transcripts in gastric cancer specimens and suggests a number of these transcripts for further assessments of their suitability as cancer biomarkers.

Assessment of SGO1 and SGO1-AS1 contribution in breast cancer.

Shugoshin-like protein 1 (SGO1) participated in the proper progression of mitosis. This fundamental role has indicated the importance of this gene in the pathogenesis of cancer as a disorder of mitotic cell division. A previous high throughput study of long non-coding RNAs (lncRNAs) expression in lung cancer has identified aberrant expression of SGO1-antisense 1 (SGO1-AS1) in these specimens. In the current study, we quantified expression of SGO1 and SGO1-AS1 in 39 breast cancer tissues and their paired adjacent non-cancerous tissues (ANCTs). Expression of SGO1-AS1 was considerably decreased in tumoral tissues compared with ANCTs (expression ratio = 0.49, P value = 0.03). However, we could not identify significant difference in expression of SGO1 between these two sets of specimens (expression ratio = 2.9, P value = 0.2). Transcript quantities of SGO1-AS1 were associated with age at disease onset (P= 0.01). Expression of either gene was associated with hormone receptors status or clinical features such as grade and stage. There was an inverse correlation between expressions of genes in both sets of samples. Finally, transcript amounts of SGO1-AS1 could distinguish these two sets of samples with accuracy of 63% (P value = 0.03). Our results imply significance of SGO1-AS1 in breast cancer and necessitate conduction of mechanistic studies to find the molecular pathways in this regard.

DSCAM-AS1 up-regulation in invasive ductal carcinoma of breast and assessment of its potential as a diagnostic biomarker.

BACKGROUND: The long non-coding RNA (lncRNA) DSCAM-AS1 has been demonstrated to participate in the pathogenesis of breast cancer and tamoxifen resistance. OBJECTIVE: To evaluate expression profile of DSCAM-AS1 in invasive ductal carcinoma of breast and its suitability as a biomarker for diagnosis of breast cancer. METHODS: We evaluated expression of DSCAM-AS1 in 108 breast tissues including tumoral and adjacent non-cancerous tissues (ANCTs) by means of quantitative real time PCR. RESULTS: DSCAM-AS1 was up-regulated in tumoral tissues compared with ANCTs (Fold change = 2.86, P = 0.011). Its expression was significantly higher in patients aged less than 55 compared with older patients (P = 0.02). However, its expression levels had not a good performance as a diagnostic biomarker for breast cancer. CONCLUSIONS: The significant up-regulation of DSCAM-AS1 in tumoral tissues compared with ANCTs provides further evidences for participation of this lncRNA in the pathogenesis of breast cancer.

Assessment of expression of interferon γ (IFN-G) gene and its antisense (IFNG-AS1) in breast cancer.

BACKGROUND: The role of long non-coding RNAs has been extensively appreciated in the contexts of cancer. Interferon γ-antisense RNA1 (IFNG-AS1) is an lncRNA located near to IFN-γ-encoding (IFNG) gene and regulates expression of IFNG in Th1 cells. METHODS: In the present study, we evaluated expression of IFNG and IFNG-AS1 in 108 breast samples including tumoral tissues and their adjacent non-cancerous tissues (ANCTs) using real-time PCR. IFNG-AS1 was significantly upregulated in tumoral tissues compared with ANCTs (expression ratio = 2.23, P = 0.03). RESULTS: Although the expression of IFNG was higher in tumoral tissues compared with ANCTs (relative expression = 1.89), it did not reach the level of significance (P = 0.07). IFNG expression was significantly higher in HER2-negative tumoral tissues compared with HER2-positive ones (P = 0.01) and in grade 1 samples compared with grade 2 ones (P = 0.03). No other significant difference was found in expressions of genes between other groups. CONCLUSION: Significant strong correlations were detected between expression of IFNG and IFNG-AS1 in both tumoral tissues and ANCTs. The present study provides evidences for participation of IFNG and IFNG-AS1 in the pathogenesis of breast cancer and warrants future studies to elaborate the underlying mechanism.