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PubMed:23007704 JSONTXT 9 Projects

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Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-115 Sentence denotes Identification of recurrence-related genes by integrating microRNA and gene expression profiling of gastric cancer.
T1 0-115 Sentence denotes Identification of recurrence-related genes by integrating microRNA and gene expression profiling of gastric cancer.
TextSentencer_T2 116-331 Sentence denotes We previously analyzed the microRNA (miRNA) expression pattern in gastric cancer with and without recurrence and obtained 17 differentially expressed miRNAs with potential to predict recurrence risk for GC patients.
T2 116-331 Sentence denotes We previously analyzed the microRNA (miRNA) expression pattern in gastric cancer with and without recurrence and obtained 17 differentially expressed miRNAs with potential to predict recurrence risk for GC patients.
TextSentencer_T3 332-498 Sentence denotes In the present study, we aimed to investigate recurrence-related genes which may be regulated by the differentially expressed miRNAs identified in our prior research.
T3 332-498 Sentence denotes In the present study, we aimed to investigate recurrence-related genes which may be regulated by the differentially expressed miRNAs identified in our prior research.
TextSentencer_T4 499-640 Sentence denotes Three different miRNA target gene databases (miRanda, TargetScan and PicTar) were used for searching the potential genes regulated by miRNAs.
T4 499-640 Sentence denotes Three different miRNA target gene databases (miRanda, TargetScan and PicTar) were used for searching the potential genes regulated by miRNAs.
TextSentencer_T5 641-745 Sentence denotes A combination was performed between miRNA target genes and recurrence-related gene expression profiling.
T5 641-745 Sentence denotes A combination was performed between miRNA target genes and recurrence-related gene expression profiling.
TextSentencer_T6 746-851 Sentence denotes Three bioinformatics algorithms (PAM, SVM and RF) were used to feature recurrence-related gene selection.
T6 746-851 Sentence denotes Three bioinformatics algorithms (PAM, SVM and RF) were used to feature recurrence-related gene selection.
TextSentencer_T7 852-948 Sentence denotes In addition, we validated the expression levels of the genes in GC patients using real-time PCR.
T7 852-948 Sentence denotes In addition, we validated the expression levels of the genes in GC patients using real-time PCR.
TextSentencer_T8 949-1022 Sentence denotes A total of 3,263 genes were identified as potential targets of 17 miRNAs.
T8 949-1022 Sentence denotes A total of 3,263 genes were identified as potential targets of 17 miRNAs.
TextSentencer_T9 1023-1192 Sentence denotes We identified 2,736 differential expressed genes using the SAM method based on 22K oligo microarray data which included 7 recurrence and 4 without recurrence GC samples.
T9 1023-1192 Sentence denotes We identified 2,736 differential expressed genes using the SAM method based on 22K oligo microarray data which included 7 recurrence and 4 without recurrence GC samples.
TextSentencer_T10 1193-1380 Sentence denotes Combining the target genes regulated by miRNAs and the differentially expressed genes between recurrence and non-recurrence groups, we identified 228 differential genes for further study.
T10 1193-1380 Sentence denotes Combining the target genes regulated by miRNAs and the differentially expressed genes between recurrence and non-recurrence groups, we identified 228 differential genes for further study.
TextSentencer_T11 1381-1522 Sentence denotes Finally, we identified HNRPA0 and PRDM4 as risk biomarkers of GC patients, which were regulated by hsa-miR‑194 and hsa-miR-373, respectively.
T11 1381-1522 Sentence denotes Finally, we identified HNRPA0 and PRDM4 as risk biomarkers of GC patients, which were regulated by hsa-miR‑194 and hsa-miR-373, respectively.
TextSentencer_T12 1523-1725 Sentence denotes Our data indicated that HNRPA0 and PRDM4 may be involved in the recurrence process of GC and have potential to act as new prognostic biomarkers in predicting recurrence risk for gastric cancer patients.
T12 1523-1725 Sentence denotes Our data indicated that HNRPA0 and PRDM4 may be involved in the recurrence process of GC and have potential to act as new prognostic biomarkers in predicting recurrence risk for gastric cancer patients.