Literature DB >> 26266534

Correction: Analysis of Deregulated microRNAs and Their Target Genes in Gastric Cancer.

Simonas Juzėnas, Violeta Saltenienė, Juozas Kupcinskas, Alexander Link, Gediminas Kiudelis, Laimas Jonaitis, Sonata Jarmalaite, Limas Kupcinskas, Peter Malfertheiner, Jurgita Skieceviciene.   

Abstract

Entities:  

Year:  2015        PMID: 26266534      PMCID: PMC4534416          DOI: 10.1371/journal.pone.0135762

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


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The order of figure legends for Figs 4, 5 and 6 are switched in the published article. Please view Figs 4, 5 and 6 with their correct figure legends here.
Fig 4

Receiver operating characteristic (ROC) curves of differentially expressed miRNAs in plasma between GC patients and healthy controls.

ROC curves of miR-375 (a), miR-148a-3p (b) and miR-223 (c). The combination of miR-375 and miR-148a-3p (d).

Fig 5

Network of candidate miRNAs and their putative target genes.

Network includes the individual miRNAs (red circles) and four types of their predicted mRNA target genes (hexagons), obtained from miRTarBase and miRecords databases. The pink color represents target genes which are regulated by a single miRNA. The orange and green colors indicate target genes regulated simultaneously by two or three distinct miRNAs, respectively. GC-associated target genes retrieved from DisGeNet database are represented by blue hexagons. The databases included in the regulatory interaction networks are identified by the color of the connecting arrows: miRTarBase (blue) and miRecords (red).

Fig 6

Expression levels of BCL2 and DNMT3B in GC tissue and correlation analysis with their putatively targeting miRNAs.

(a) Expression levels of BCL2 and DNMT3B was analyzed using qRT-PCR. The data are represented as log2 2-(deltaCt) values. (b) Pearson correlation analysis between relative expression levels of DNMT3B and relative expression levels miR-375, (c) between relative expression levels of DNMT3B and relative expression levels miR-148a-3p, (d) between relative expression levels of BCL2 and relative expression levels miR-148a-3p, (e) between relative expression levels of BCL2 and relative expression levels miR-204-5p, (f) between relative expression levels of BCL2 and relative expression levels miR-375 in gastric tissue samples. P value below 0.05 was considered significant.

Receiver operating characteristic (ROC) curves of differentially expressed miRNAs in plasma between GC patients and healthy controls.

ROC curves of miR-375 (a), miR-148a-3p (b) and miR-223 (c). The combination of miR-375 and miR-148a-3p (d).

Network of candidate miRNAs and their putative target genes.

Network includes the individual miRNAs (red circles) and four types of their predicted mRNA target genes (hexagons), obtained from miRTarBase and miRecords databases. The pink color represents target genes which are regulated by a single miRNA. The orange and green colors indicate target genes regulated simultaneously by two or three distinct miRNAs, respectively. GC-associated target genes retrieved from DisGeNet database are represented by blue hexagons. The databases included in the regulatory interaction networks are identified by the color of the connecting arrows: miRTarBase (blue) and miRecords (red).

Expression levels of BCL2 and DNMT3B in GC tissue and correlation analysis with their putatively targeting miRNAs.

(a) Expression levels of BCL2 and DNMT3B was analyzed using qRT-PCR. The data are represented as log2 2-(deltaCt) values. (b) Pearson correlation analysis between relative expression levels of DNMT3B and relative expression levels miR-375, (c) between relative expression levels of DNMT3B and relative expression levels miR-148a-3p, (d) between relative expression levels of BCL2 and relative expression levels miR-148a-3p, (e) between relative expression levels of BCL2 and relative expression levels miR-204-5p, (f) between relative expression levels of BCL2 and relative expression levels miR-375 in gastric tissue samples. P value below 0.05 was considered significant.
  1 in total

1.  Analysis of Deregulated microRNAs and Their Target Genes in Gastric Cancer.

Authors:  Simonas Juzėnas; Violeta Saltenienė; Juozas Kupcinskas; Alexander Link; Gediminas Kiudelis; Laimas Jonaitis; Sonata Jarmalaite; Limas Kupcinskas; Peter Malfertheiner; Jurgita Skieceviciene
Journal:  PLoS One       Date:  2015-07-14       Impact factor: 3.240

  1 in total
  4 in total

1.  MicroRNA-421 promotes the proliferation and metastasis of gastric cancer cells by targeting claudin-11.

Authors:  Peng Yang; Mei Zhang; Xiting Liu; Huayun Pu
Journal:  Exp Ther Med       Date:  2017-07-17       Impact factor: 2.447

2.  Bioinformatics identification of potentially involved microRNAs in Tibetan with gastric cancer based on microRNA profiling.

Authors:  Yushuang Luo; Chengwu Zhang; Feng Tang; Junhui Zhao; Cunfang Shen; Cheng Wang; Pengjie Yu; Miaozhou Wang; Yan Li; J I Di; Rong Chen; Ge Rili
Journal:  Cancer Cell Int       Date:  2015-12-12       Impact factor: 5.722

Review 3.  Small Molecules in Rare Tumors: Emerging Role of MicroRNAs in GIST.

Authors:  Juozas Kupcinskas
Journal:  Int J Mol Sci       Date:  2018-01-30       Impact factor: 5.923

4.  LncRNA OIP5-AS1 is overexpressed in undifferentiated oral tumors and integrated analysis identifies as a downstream effector of stemness-associated transcription factors.

Authors:  Ganesan Arunkumar; Shankar Anand; Partha Raksha; Shankar Dhamodharan; Harikrishnan Prasanna Srinivasa Rao; Shanmugam Subbiah; Avaniyapuram Kannan Murugan; Arasambattu Kannan Munirajan
Journal:  Sci Rep       Date:  2018-05-04       Impact factor: 4.379

  4 in total

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