Identification of a seven-cell cycle signature predicting overall survival for gastric cancer.

While genetic alterations in several regulators of the cell cycle have a significant impact on the gastric carcinogenesis process, the prognostic role of them remains to be further elucidated. The TCGA-STAD training set were downloaded and the mRNA expression matrix of cell cycle genes was extracted and corrected for further analysis after taking the intersection with GSE84437 dataset. Differentially expressed mRNAs were identified between tumor and normal tissue samples in TCGA-STAD. Univariate Cox regression analysis and lasso Cox regression model established a novel seven-gene cell cycle signature (including GADD45B, TFDP1, CDC6, CDC25A, CDC7, SMC1A and MCM3) for GC prognosis prediction. Patients in the high-risk group shown significantly poorer survival than patients in the low-risk group. The signature was found to be an independent prognostic factor for GC survival. Nomogram including the signature shown some clinical net benefit for overall survival prediction. The signature was further validated in the GSE84437 dataset. In tissue microarray, CDC6 and MCM3 protein expression were significant differences by the immunohistochemistry-based H-score between tumor tissues and adjacent tissues, and CDC6 is an independent prognostic factor for GC. Interestingly, our GSEA revealed that low-risk patients were more related to cell cycle pathways and might benefit more from therapies targeting cell cycle. Our study identified a novel robust seven-gene cell cycle signature for GC prognosis prediction that may serve as a beneficial complement to clinicopathological staging. The signature might provide potential biomarkers for the application of cell cycle regulators to therapies and treatment response prediction.

ADAMTS9-AS2 and CADM2 expression and association with the prognosis in esophageal squamous cell carcinoma.

Background: We investigated whether ADAMTS9-AS2 and CADM2 were related to esophageal squamous cell carcinoma (ESCC). Methodology: ESCC microarray datasets and reverse transcriptase qualitative PCR were used to analyze ADAMTS9-AS2 and CADM2 expression. Results: The GSE120356 and GSE33810 datasets identified ADAMTS9-AS2 and CADM2 as the candidates and ADAMTS9-AS2 and CADM2 expression was downregulated in ESCC. ADAMTS9-AS2 and CADM2 were positively correlated with ESCC. ADAMTS9-AS2 and CADM2 expression could discriminate ESCC from normal tissue. Five-year overall survival was shorter in underexpressed ADAMTS9-AS2 patients, and CADM2 expression level was related to 5-year overall survival. ADAMTS9-AS2 and CADM2 expression were independent prognosis indicators in ESCC patients. Conclusion: Our findings shed new light on the clinical significance of ADAMTS9-AS2 and CADM2 in ESCC carcinogenesis.

piR-823 demonstrates tumor oncogenic activity in esophageal squamous cell carcinoma through DNA methylation induction via DNA methyltransferase 3B.

Piwi-interacting RNAs (piRNAs) dysregulation occurs frequently in extensive cancers. However, there was no report about piRNA expression in esophageal cancer (EC). In this study, the expression levels of piR-823 and DNMT1, DNMT3A, DNMT3B were detected in 54 pairs of ESCC tissues and adjacent normal tissues using the quantitative real-time polymerase chain reaction method. Pearson's chi-squared test and receiver operating characteristic curves were established to evaluate the diagnostic and prognostic value of piR-823 in ESCC. Spearman's correlation analysis was used to evaluate the association between piR-823 and DNMTs. We found that piR-823 was significantly upregulated in ESCC tissues compared with matched normal tissues (P = 0.0213), the level of piR-823 was significantly associated with lymph node metastasis (P = 0.042). The ROC curve analysis of piR-823 expression level yielded an area under the ROC curve value of 0.713 (P = 0.0001). DNMT3B was upregulated in ESCC tissues compared with matched normal tissues (P = 0.0286). There was an obvious positive correlation between piR-823 and DNMT3B expression (r = 0.6420, P < 0.0001). In conclusion, for the first time, we provided evidence about piRNA expression in EC. piRNA-823 and DNMT3B were both upregulated in ESCC and positively correlated with each other, suggesting the tumor oncogenic role of piR-823 in ESCC to epigenetically induce aberrant DNA methylation through DNMT3B. In addition, piRNA-823 showed high specificity in detecting ESCC and higher piRNA-823 level indicated higher risk of lymph node metastasis, suggesting its diagnostic and prognostic biomarker potential.

Decreased expression of SPINT1-AS1 and SPINT1 mRNA might be independent unfavorable prognostic indicators in esophageal squamous cell carcinoma.

Purpose: The serine peptidase inhibitor, Kunitz type 1 antisense RNA1 (SPINT1-AS1), a long non-coding RNA , has been linked to cancer progression. In this study, we aimed to explore the SPINT1-AS1 expression in matched esophageal squamous cell carcinoma (ESCC) and normal tissues, and analyze the potential correlations of SPINT1-AS1 expression with clinicopathological characteristics, in order to evaluate its prognosis and therapeutic value. Methods: SPINT1-AS1 expression was detected in 99 cases of matched ESCC and normal tissues samples using the quantitative real-time polymerase chain reaction method. Results: The expression level (△Ct) of SPINT1-AS1 and SPINT1 mRNA was significantly downregulated in ESCC tissues compared with matched normal tissues (P=0.0005; P=0.0002, respectively), and there was an obvious positive correlation between SPINT1-AS1 and SPINT1 mRNA expression. Clinicopathological characteristics indicated that SPINT1-AS1 expression was correlated with age and tumor size, while SPINT1 mRNA expression was correlated with age and gender. The receiver operating characteristic (ROC) curve analysis of the expression level of SPINT1-AS1 and SPINT1 mRNA yielded an area under the ROC curve value of 0.638 and 0.625, respectively. The overall survival is shorter in patients with low SPINT1-AS1 expressed than those with high levels of SPINT1-AS1 (P=0.044), and SPINT1 mRNA expression level is associated with the OS (P=0.001). Univariate and multivariate analysis suggested that SPINT1-AS1 was an independent prognostic indicator in ESCC. Conclusions: We found that the expression of SPINT1-AS1 and SPINT1 mRNA is downregulated in ESCC tissues, which could contribute to tumor progression. SPINT1-AS1 and SPINT1 mRNA may be therapeutic targets and prognosis markers for ESCC.

High expression of HLA-DQA1 predicts poor outcome in patients with esophageal squamous cell carcinoma in Northern China.

BACKGROUND: Our previous studies demonstrate that the major histocompatibility complex (MHC) is associated with the progression of esophageal squamous cell carcinoma (ESCC). HLA-DQA1, which belongs to the MHC Class II family, may be a potential biomarker in ESCC progression. However, the association between HLA-DQA1 and ESCC in high-incidence area of northern China has not been well characterized. The purpose of this study is to investigate the relationship of HLA-DQA1 expression with the progression and prognosis of ESCC. METHODS: We analyzed the expression profiles of HLA-DQA1 in esophageal cancer (EC) samples in the TCGA database and validated HLA-DQA1 expression by immunohistochemistry, western blotting, and quantitative reverse-transcription polymerase chain reaction in matched EC and normal tissues, respectively. The correlation between HLA-DQA1 expression and clinicopathologic characteristics of ESCC was further analyzed. RESULT: Immunohistochemical analysis indicated that the expression level of HLA-DQA1 in ESCC tissues was significantly higher than the matched normal tissues (P < .001). HLA-DQA1 mRNA and protein expression were significantly higher in ESCC tissues compared to the matched normal tissues. Patients with family history negative or with tumor sizes >4 cm were associated with higher HLA-DQA1 expression levels. A prognostic significance of HLA-DQA1 was also found by the Log-rank method, in which high expression of HLA-DQA1 was correlated with a shorter overall survival time. The receiver operating characteristic (ROC) curve analysis yielded the area under the ROC curve value of 0.693. Univariate and multivariate analyses also suggest that high expression of HLA-DQA1 is a potential indicator for poor prognosis of ESCC. CONCLUSIONS: Our results demonstrate that HLA-DQA1 plays an important role in ESCC progression and may be a biomarker for ESCC diagnosis and prognosis, as well as a potential target for the treatment of patients with ESCC.