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1.
Biomed Res Int ; 2017: 1038984, 2017.
Article in English | MEDLINE | ID: mdl-28567416

ABSTRACT

Aim. To demonstrate the regulatory role of miRNA in colorectal carcinoma (CRC) and reveal the transcript markers that may be associated with CRC clinical outcomes. Method. Herein, we analyzed both mRNA and miRNA gene expression profiles of 255 CRC tumor samples from The Cancer Genome Atlas project to reveal the regulatory association between miRNA and mRNA. Also, the potential role of gene coexpression network in CRC has been explored. Results. The negative correlation between miR-200c and DCN (Decorin) was calculated in CRC, indicating that DCN could be a potential target of miR-200c. Clinical features indicated that colon polyp history and overall survival were significantly related to the expression level of miR-200c. Three coexpression networks have been constructed, and genes involved in the networks are related to cell cycle, NOTCH, and mTOR signaling pathways. Conclusion. Our result provides a new insight into cancer related mRNA coexpression network in CRC research.


Subject(s)
Colorectal Neoplasms/metabolism , Decorin/biosynthesis , Gene Expression Regulation, Neoplastic , MicroRNAs/biosynthesis , Neoplasm Proteins/biosynthesis , RNA, Neoplasm/biosynthesis , Colorectal Neoplasms/genetics , Colorectal Neoplasms/mortality , Colorectal Neoplasms/pathology , Decorin/genetics , Female , Humans , Male , MicroRNAs/genetics , Neoplasm Proteins/genetics , RNA, Neoplasm/genetics
2.
Int J Clin Exp Pathol ; 8(6): 6181-91, 2015.
Article in English | MEDLINE | ID: mdl-26261495

ABSTRACT

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is the most common form of malignancy in pancreatic carcinoma. Here we report our discovery on the correlations between transcriptional alternative splicing (AS) of NUMB, APP, VEGFA and PDAC in patients. METHODS: The expression of NUMB, APP, VEGFA from patient samples was determined by qRT-PCR. AS of these genes was examined through laser induced fluorescence capillary electrophoresis. Correlation between the AS of the genes and results from clinical laboratory examinations were analyzed. Expression of NOTHC1 and NOTCH4 as downstream target genes was examined by qRT-PCR and Western blot. RESULTS: Quantitative results indicated that expression of NUMB was significantly lower in tumor tissues (TT) than in para-tumor tissues (TP) (P<0.05), while APP (P<0.01) and VEGFA (P<0.05) were significantly higher. AS transcript percentage of NUMB PRR(S) was lower in TT than TP (P<0.05). AS transcript percentage of VEGFA (105+185) was significantly lower in TT than TP (P<0.05) compared to higher expression of VEGFA (206+338) (P<0.05). Regression analysis indicated that AS transcript of NUMB PRR(L) correlated with tumor size (P<0.01), while AS transcripts of APP and VEGFA correlated with results of laboratory examinations. To reveal the correlation between AS and its downstream targets, NOTCH1 and NOTCH4 were selected as NUMB gene targets and detected to be significantly higher in TT than TP (P<0.05). CONCLUSION: Alternative splicing of APP, VEGFA and NUMB may play an important role in pathogenesis of pancreatic ductal adenocarcinoma. Among the 3 genes, PRR(L) form of NUMB gene is highly expressed in TT and positively correlated with tumor size, while PRR(S) is lacking in TT and negatively correlated with NOTCH expression suggesting that PRR(S) might be protective in tumorogenesis and shows NOTCH pathway down regulation ability.


Subject(s)
Alternative Splicing , Amyloid beta-Protein Precursor/genetics , Biomarkers, Tumor/genetics , Carcinoma, Pancreatic Ductal/genetics , Membrane Proteins/genetics , Nerve Tissue Proteins/genetics , Pancreatic Neoplasms/genetics , Vascular Endothelial Growth Factor A/genetics , Biomarkers, Tumor/analysis , Blotting, Western , Carcinoma, Pancreatic Ductal/chemistry , Carcinoma, Pancreatic Ductal/pathology , Gene Expression Regulation, Neoplastic , Humans , Pancreatic Neoplasms/chemistry , Pancreatic Neoplasms/pathology , Proto-Oncogene Proteins/analysis , Proto-Oncogene Proteins/genetics , RNA, Messenger/genetics , Real-Time Polymerase Chain Reaction , Receptor, Notch1/analysis , Receptor, Notch1/genetics , Receptor, Notch4 , Receptors, Notch/analysis , Receptors, Notch/genetics , Tumor Burden
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