Relationship between polymorphisms of the lipid metabolism-related gene PLA2G16 and risk of colorectal cancer in the Chinese population

Xie, Xiao-Nv; Yu, Jing; Zhang, Lihua; Luo, Zhicheng; Ouyang, Dongsheng; Zheng, Lingjie; Wang, Chunyang; Yang, Li; Chen, Ling; Tan, Zhi‐Rong

doi:10.1007/s10142-018-0642-8

Cited by 3 publications

(2 citation statements)

References 43 publications

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“…Del et al (40) reported that KRAS and NRAS proto-oncogene GTPase genes were associated with poor response to anti-epidermal growth factor receptor therapies in patients with metastatic CRC. Furthermore, Xie et al (41) reported that phospholipase A and acyltransferase 3 may increase the risk of CRC in the Chinese population, while Yu et al (42) reported that Bcl-2 was associated with favorable prognosis. These reports mainly discussed the association between biomarkers and colon cancer, taking into consideration two primary aspects.…”

Section: Discussionmentioning

confidence: 99%

Identification of key pathways and genes in colorectal cancer to predict the prognosis based on mRNA interaction network

Zhu

Li³

et al. 2019

Oncol Lett

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The aim of the present study was to identify key genes in colorectal cancer (CRC) that could be used to reliably diagnose this disease and to explore the potential underlying mechanisms in silico. The gene expression profiles of primary human cancer datasets GSE21510 and GSE32323 were downloaded from the Gene Expression Omnibus database. The limma R software package was used to identify differentially expressed (DE) genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed on DE genes using the Database for Annotation, Visualization and Integrated Discovery. The Search Tool for the Retrieval of Interacting Genes/Proteins database was used to construct a protein-protein interaction (PPI) network of the DE genes. Survival rate was analyzed and visualized using The Cancer Genome Atlas (TCGA). A total of 1,126 genes were significantly DE in the present study. All DE genes were enriched in KEGG pathways including 'cell cycle', 'mineral absorption', 'pancreatic secretion', 'pathways in cancer', 'metabolic pathways', 'aldosterone-regulated sodium reabsorption' and 'Wnt signaling pathway'. A total of 5 hub genes enriched in cell cycle and tumor-associated pathways, including E2F2, SKP2, MYC, CDKN1A and CDKN2B, were significantly DE and validated between tumor and normal tissues. CDKN1A and CDKN2B were identified within the PPI network using the Molecular Complex Detection algorithm. Survival and content distribution analyses of 362 clinical samples from TCGA revealed that CDKN1A effectively predicted the prognosis of patients. The present study identified key genes and potential signaling pathways involved in CRC. These findings may provide new insights for survival assessment during the clinical diagnosis of CRC.

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Section: Discussionmentioning

confidence: 99%

Identification of key pathways and genes in colorectal cancer to predict the prognosis based on mRNA interaction network

Zhu

Li³

et al. 2019

Oncol Lett

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“…Colon cancer is the third most common cancer diagnosis among men and women in the United States. 1,2 Although surgical resection is a relatively effective method for the treatment of colon cancer, metastasis and recurrence often occur after surgery, which greatly shortens the survival time of patients. Along with the development of big data analysis came the discovery of a wealth of genetic prognostic factors, like microsatellite instability for colon cancer, which need to be taken into consideration when evaluating new biomarkers for this disease.…”

Section: Introductionmentioning

confidence: 99%

<p>The role of PEG3 in the occurrence and prognosis of colon cancer</p>

Zhou¹,

Lin²,

Zhu³

et al. 2019

OTT

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Purpose Imprinted genes are often identified as key players in the etiology and prognosis of many tumors; however, the role they play in colon cancer remains unclear. Along with the development of big data analysis came the discovery of a wealth of genetic prognostic factors, like microsatellite instability for colon cancer, which need to be taken into consideration when evaluating new biomarkers for the disease. Methods We systematically mined public databases to find recurrence free survival (RFS)-related imprinted genes for colon cancer patients on the mRNA level by univariate and multivariate survival analyses. We then investigated the association of methylation status and microRNA expression of the targeted imprinted genes with survival rate of colon cancer patients. Lastly, in a clinical study we used qRT-PCR and immunohistochemistry to quantify mRNA and protein expression of the imprinted genes that related to RFS in our bioinformatics screening, respectively, in 20 tumor tissues compared to paired adjacent tissues. Results The results show that paternally expressed gene 3 (PEG3) is the only imprinted gene related to colon cancer patient prognosis on the mRNA level in our datasets, and high mRNA expression of PEG3 is associated with a poor prognosis. Furthermore, the methylation beta value of cg13960339, as well as the expression of 4 microRNAs, negatively correlated with PEG3 mRNA level and were correlated with the prognosis of colon cancer patients. Moreover, the expression of PEG3 mRNA in colon cancer is significantly lower, but PEG3 protein expression is significantly higher compared to that in normal tissues. Conclusion PEG3 is likely associated with the progression and prognosis of colon cancer.

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Phospholipase A2, a nonnegligible enzyme superfamily in gastrointestinal diseases

Huang

2022

Biochimie

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Relationship between polymorphisms of the lipid metabolism-related gene PLA2G16 and risk of colorectal cancer in the Chinese population

Cited by 3 publications

References 43 publications

Identification of key pathways and genes in colorectal cancer to predict the prognosis based on mRNA interaction network

Identification of key pathways and genes in colorectal cancer to predict the prognosis based on mRNA interaction network

<p>The role of PEG3 in the occurrence and prognosis of colon cancer</p>

Phospholipase A2, a nonnegligible enzyme superfamily in gastrointestinal diseases

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