ArticleCancer cell international2016
Time course analysis based on gene expression profile and identification of target molecules for colorectal cancer.
Article in Cancer cell international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 26 citations in OpenAlex.
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- MEF2C and miR-194-5p: New Players in Triple Negative Breast Cancer Tumorigenesis.International journal of molecular sciences · 2023Article
- Uncovering potential genes in colorectal cancer based on integrated and DNA methylation analysis in the gene expression omnibus database.BMC cancer · 2022Article
- Expression and methylation status ofGastroenterology and hepatology from bed to bench · 2022Article
- Knockdown of circROBO2 attenuates acute myocardial infarction through regulating the miR-1184/TRADD axis.Molecular medicine (Cambridge, Mass.) · 2021Article
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- miR-326 inhibits the cell proliferation and cancer stem cell-like property of cervical cancerAnnals of translational medicine · 2020Article
- Circ0120816 acts as an oncogene of esophageal squamous cell carcinoma by inhibiting miR-1305 and releasing TXNRD1.Cancer cell international · 2020Article
- Hsa_circ_0128846 promotes tumorigenesis of colorectal cancer by sponging hsa-miR-1184 and releasing AJUBA and inactivating Hippo/YAP signalling.Journal of cellular and molecular medicine · 2020Article
- Comprehensive analysis of competitive endogenous RNA network in colorectal cancer.Translational cancer research · 2020Article
- A novel plasma circular RNA circFARSA is a potential biomarker for non-small cell lung cancer.Cancer medicine · 2018Article
- Time-series expression profile analysis of fracture healing in young and old mice.Molecular medicine reports · 2017Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe study aimed to investigate the expression changes of genes in colorectal cancer (CRC) and screen the potential molecular targets.
methodsThe GSE37178 of mRNA expression profile including the CRC samples extracted by surgical resection and the paired normal samples was downloaded from Gene Expression Omnibus database. The genes whose expressions were changed at four different time points were screened and clustered using Mfuzz package. Then DAVID was used to perform the functional and pathway enrichment analysis for genes in different clusters. The protein-protein interaction (PPI) networks were constructed for genes in the clusters according to the STRING database. Furthermore, the related-transcription factors (TFs) and microRNAs (miRNAs) were obtained based on the resources in databases and then were combined with the PPI networks in each cluster to construct the integrated network containing genes, TFs and miRNAs.
resultsAs a result, 314 genes were clustered into four groups. Genes in cluster 1 and cluster 2 showed a decreasing trend, while genes in cluster 3 and cluster 4 presented an increasing trend. Then 18 TFs (e.g., TCF4, MEF2C and FOS) and 18 miRNAs (e.g., miR-382, miR-217, miR-1184, miR-326 and miR-330-5p) were identified and three integrated networks for cluster 1, 3, and 4 were constructed.
conclusionsThe results implied that expression of PITX2, VSNL1, TCF4, MEF2C and FOS are time-related and associated with CRC development, accompanied by several miRNAs including miR-382, miR-217, miR-21, miR-1184, miR-326 and miR-330-5p. All of them might be used as potential diagnostic or therapeutic target molecules for CRC.
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