BACKGROUND: Long noncoding RNAs (lncRNAs) have roles in regulating metabolism; however, the global expression profile of metabolic pathway-associated lncRNAs in gastric cancer is unknown. The purpose of our study was to examine metabolic pathway-related lncRNAs in gastric cancer and their possible diagnostic values. METHODS: Differential expression patterns of metabolic pathway-related lncRNAs between gastric cancer and paired nontumor tissues were detected using metabolic pathway-associated lncRNA microarrays. The expression of RP11-555H23.1, one representative metabolic pathway-associated lncRNA, was validated using quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR). The associations between RP11-55H23.1 expression and the clinicopathological features of gastric cancer patients were analyzed. A receiver operating characteristic (ROC) curve was further established. RESULTS: A total of 114 differentially expressed metabolic pathway-associated lncRNAs (fold change >2, P < 0.05) between cancer and nontumor tissues were found (GEO No. GSE96856). Among them, TUG1, RP11-555H23.1, RP1-257I20.13, UGP2, GCSHP3, and XLOC_000889 lncRNAs were downregulated more than sixfold in gastric cancer tissues. In contrast, RP11-605F14.2, TBC1D3P5, BC130595, LINC00475, RP11-19P22.6, BC080653, XLOC_004923, AFAP1-AS1, EPB49, and RP11-296I10.3 lncRNAs were upregulated more than sixfold in gastric cancer tissues. We further demonstrated that RP11-555H23.1 expression was significantly correlated with TNM stage (P = 0.038). The area under the ROC curve (AUC) was 0.65, and the specificity and sensitivity were 62% and 81%, respectively. CONCLUSIONS: Metabolic pathway-associated lncRNAs play an important role in the occurrence of gastric cancer, and metabolic pathway-associated lncRNAs, such as RP11-555H23.1, may represent novel biomarkers of gastric cancer.
BACKGROUND: Long noncoding RNAs (lncRNAs) have roles in regulating metabolism; however, the global expression profile of metabolic pathway-associated lncRNAs in gastric cancer is unknown. The purpose of our study was to examine metabolic pathway-related lncRNAs in gastric cancer and their possible diagnostic values. METHODS: Differential expression patterns of metabolic pathway-related lncRNAs between gastric cancer and paired nontumor tissues were detected using metabolic pathway-associated lncRNA microarrays. The expression of RP11-555H23.1, one representative metabolic pathway-associated lncRNA, was validated using quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR). The associations between RP11-55H23.1 expression and the clinicopathological features of gastric cancerpatients were analyzed. A receiver operating characteristic (ROC) curve was further established. RESULTS: A total of 114 differentially expressed metabolic pathway-associated lncRNAs (fold change >2, P < 0.05) between cancer and nontumor tissues were found (GEO No. GSE96856). Among them, TUG1, RP11-555H23.1, RP1-257I20.13, UGP2, GCSHP3, and XLOC_000889 lncRNAs were downregulated more than sixfold in gastric cancer tissues. In contrast, RP11-605F14.2, TBC1D3P5, BC130595, LINC00475, RP11-19P22.6, BC080653, XLOC_004923, AFAP1-AS1, EPB49, and RP11-296I10.3 lncRNAs were upregulated more than sixfold in gastric cancer tissues. We further demonstrated that RP11-555H23.1 expression was significantly correlated with TNM stage (P = 0.038). The area under the ROC curve (AUC) was 0.65, and the specificity and sensitivity were 62% and 81%, respectively. CONCLUSIONS: Metabolic pathway-associated lncRNAs play an important role in the occurrence of gastric cancer, and metabolic pathway-associated lncRNAs, such as RP11-555H23.1, may represent novel biomarkers of gastric cancer.
Authors: C A Melo; N Léveillé; K Rooijers; P J Wijchers; G Geeven; A Tal; S A Melo; W de Laat; R Agami Journal: Oncogene Date: 2016-01-18 Impact factor: 9.867
Authors: Sven Diederichs; Lorenz Bartsch; Julia C Berkmann; Karin Fröse; Jana Heitmann; Caroline Hoppe; Deetje Iggena; Danny Jazmati; Philipp Karschnia; Miriam Linsenmeier; Thomas Maulhardt; Lino Möhrmann; Johannes Morstein; Stella V Paffenholz; Paula Röpenack; Timo Rückert; Ludger Sandig; Maximilian Schell; Anna Steinmann; Gjendine Voss; Jacqueline Wasmuth; Maria E Weinberger; Ramona Wullenkord Journal: EMBO Mol Med Date: 2016-05-02 Impact factor: 12.137