Integrated analysis of competing endogenous RNA in esophageal carcinoma.

BACKGROUND: The Competing endogenous RNA (CeRNA) network plays important roles in the development and progression of multiple human cancers. Increasing attention has been paid to CeRNA in esophageal carcinoma (ESCA). METHODS: We explored The Cancer Genome Atlas (TCGA) database and then analyzed the RNAs of 142 samples to obtain long non-coding RNAs (lncRNAs), micro RNAs (miRNAs), and messenger RNAs (mRNAs) with different expression trends alongside the progress of ESCA. A series test of cluster (STC) analysis was carried out to identify a set of unique model expression tendencies. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used to validate the function of key genes that were obtained from the STC analysis. RESULTS: Through our analysis, 272 lncRNAs, 87 miRNAs, and 692 mRNAs showed upward expression or downward expression trends, and these molecules were tightly involved in cell cycle, pathways in cancer, metabolic processes, and protein phosphorylation, among others. Ultimately, we constructed a CeRNA network containing a total of 71 lncRNAs, 56 miRNAs, and 125 mRNAs. The overall survival (OS) was analyzed using univariate Cox regression analysis to clarify the relationship between these key molecules from the CeRNA network and the prognosis of ESCA patients. Through survival analysis, we finally screened out two lncRNAs (DLEU2, RP11-890B15.3), three miRNAs (miR-26b-3p, miR-92a-3p, miR-324-5p), and one mRNA (SIK2) as crucial prognostic factors for ESCA. CONCLUSIONS: The novel CeRNA network that we constructed will provide new novel prognostic biomarkers and therapeutic targets for patients with ESCA.

The change of health-related quality of life after minimally invasive esophagectomy for esophageal cancer: a meta-analysis.

BACKGROUND: Short- and long-term health-related quality of life (HRQL) was severely affected after surgery. This study aimed to assess the direction and duration of HRQL from 3- to 24-month follow-ups after minimally invasive esophagectomy (MIE) for esophageal cancer. METHODS: A systematic literature search in MEDLINE, EMBASE, and the Cochrane database was performed for all potentially relevant studies published until February 2017. Studies were included if they addressed the question of HRQL with OERTC-QLQ-C30 and OES18. Primary outcomes were HRQL change at 3-month follow-up. Secondary outcomes were HRQL change from 3-, 6- (short-term) to 12- (mid-term), and/or 24-month (long-term) follow-ups. RESULTS: Six articles were included to estimate the change in 24 HRQL outcomes after MIE. Most of the patients' HRQL outcomes deteriorated at short-term follow-up and some lasted to mid- or long-term after MIE. Patients' physical function and global QOL deteriorated from short- to long-term follow-ups, and emotional function had no change. The directions of dyspnea, pain, fatigue, insomnia, constipation, diarrhea, cough, and speech problems were increased. The deterioration in global function lasted 6 months, the increase in constipation and speech problems lasted 12 months, and insomnia increased more than 12 months after MIE. CONCLUSIONS: The emotional function had no change after MIE. The global QOL become worse during early postoperative period; the symptoms of constipation, speech problems, and insomnia increased for a long time after MIE.

Association of polymorphisms in the telomere-related gene ACYP2 with lung cancer risk in the Chinese Han population.

Single nucleotide polymorphisms (SNPs) in the telomere-associated gene ACYP2 are associated with increased lung cancer risk. We explored the correlation between ACYP2 SNPs and lung cancer susceptibility in the Chinese Han population. A total of 554 lung cancer patients and 603 healthy controls were included in this study. Thirteen SNPs in ACYP2 were selected. Odds ratios (ORs) and 95% confidence intervals (95% CIs) were calculated using unconditional logistic regression analysis. Multivariate logistic regression analysis was used assess the correlation between SNPs and lung cancer. We found that rs1682111 was associated with increased lung cancer risk in the recessive model (crude, OR=1.50, 95%CI: 1.04-2.16, p=0.029; adjusted for age, OR=1.55, 95%CI: 1.04-2.30, p=0.029), as was rs11896604 in the codominant model (crude, OR=0.65, 95%CI: 0.33-1.28, p=0.045; adjusted for age, OR=0.74, 95%CI: 0.36-1.53, p=0.049) and over-dominant model (crude, OR=1.30, 95%CI: 1.02-1.66, p=0.032; adjusted for age, OR=1.37, 95%CI: 1.05-1.78, p=0.020). Finally, rs843720 was associated with increased lung cancer risk in the recessive model (crude, OR=1.43, 95%CI: 1.02-2.02, p=0.040; adjusted for age, OR=1.48, 95%CI: 1.02-2.15, p=0.040). Thus three SNPs in ACYP2 (rs1682111, rs11896604 and rs843720) associate with lung cancer in the Chinese Han population.