Supplementation with omega fatty acids increases the mRNA expression level of PLA2G4A in patients with gastric cancer

Bazhan, Donya; Khaniani, Mahmoud Shekari

doi:10.21037/jgo.2018.08.12

Cited by 6 publications

(5 citation statements)

References 38 publications

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“…FGB 85 has been known to be involved in gastric carcinoma. Phospholipase A2 group IVA ( PLA2G4A ), 86 FGG , 87 thymidylatesynthetase ( TYMS ), 88 RAB32 , 89 SEPTIN4 , 90 TPM2 , 91 acyl-CoA thioesterase 7 ACOT7 , 92 phosphoribosyl transferase domain containing 1 ( PRTFDC1 ), 93 Cdk5 and Abl enzyme substrate 1 ( CABLES1 ), 94 major histocompatibility complex, class II, DM beta ( HLA-DMB ), 95 protein tyrosine phosphatase receptor type C ( PTPRC ), 96 CD5 molecule ( CD5 ), 97 CD6 molecule ( CD6 ), 97 membrane spanning 4-domains A1 ( MS4A1 ), 98 CD22 molecule ( CD22 ), 99 CD27 molecule ( CD27 ), 100 mannose receptor C type 2 ( MRC2 ), 101 C-type lectin domain family 2 member D ( CLEC2D ), 102 EEF1A1, 103 and apolipoprotein B ( APOB ) 104 have a significant prognostic potential in various types of cancer. Sphingomyelin phosphodiesterase 1 ( SMPD1 ) 105 expression in colorectal cancer results in drug resistance.…”

Section: Discussionmentioning

confidence: 99%

Identification and Interaction Analysis of Molecular Markers in Pancreatic Ductal Adenocarcinoma by Bioinformatics and Next-Generation Sequencing Data Analysis

Giriyappagoudar,

Vastrad,

Horakeri

et al. 2023

Bioinform Biol Insights

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Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the most common cancers worldwide. Intense efforts have been made to elucidate the molecular pathogenesis, but the molecular mechanisms of PDAC are still not well understood. The purpose of this study is to further explore the molecular mechanism of PDAC through integrated bioinformatics analysis. Methods: To identify the candidate genes in the carcinogenesis and progression of PDAC, next-generation sequencing (NGS) data set GSE133684 was downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and Gene Ontology (GO) and pathway enrichment analyses were performed. The protein-protein interaction network (PPI) was constructed and the module analysis was performed using Integrated Interactions Database (IID) interactome database and Cytoscape. Subsequently, miRNA-DEG regulatory network and TF-DEG regulatory network were constructed using miRNet database, NetworkAnalyst database, and Cytoscape software. The expression levels of hub genes were validated based on Kaplan-Meier analysis, expression analysis, stage analysis, mutation analysis, protein expression analysis, immune infiltration analysis, and receiver operating characteristic (ROC) curve analysis. Results: A total of 463 DEGs were identified, consisting of 232 upregulated genes and 233 downregulated genes. The enriched GO terms and pathways of the DEGs include vesicle organization, secretory vesicle, protein dimerization activity, lymphocyte activation, cell surface, transferase activity, transferring phosphorus-containing groups, hemostasis, and adaptive immune system. Four hub genes (namely, cathepsin B [CCNB1], four-and-a-half LIM domains 2 (FHL2), major histocompatibility complex, class II, DP alpha 1 (HLA-DPA1) and tubulin beta 1 class VI (TUBB1)) were obtained via taking interaction of different analysis results. Conclusions: On the whole, the findings of this investigation enhance our understanding of the potential molecular mechanisms of PDAC and provide potential targets for further investigation.

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Section: Discussionmentioning

confidence: 99%

Identification and Interaction Analysis of Molecular Markers in Pancreatic Ductal Adenocarcinoma by Bioinformatics and Next-Generation Sequencing Data Analysis

Giriyappagoudar,

Vastrad,

Horakeri

et al. 2023

Bioinform Biol Insights

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“…Similarly, Hudson et al [ 36 ] found that the impact of PLA2G4A on brain phospholipid metabolism is closely related to the occurrence of schizophrenia. PLA2G4A has also been shown to have a clear preference for membrane phospholipids to catalyze AA, thus playing an important role in the occurrence and progression of various types of cancer[ 7 , 29 , 31 , 37 ]. PLA2G4A is increasingly being implicated in the onset and progression of diabetes, blood disorders, and other diseases.…”

Section: Discussionmentioning

confidence: 99%

Link between mutations in ACVRL1 and PLA2G4A genes and chronic intestinal ulcers: A case report and review of literature

Tang,

Zhang,

Wang

et al. 2024

World J Gastrointest Surg

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BACKGROUND Genetic factors of chronic intestinal ulcers are increasingly garnering attention. We present a case of chronic intestinal ulcers and bleeding associated with mutations of the activin A receptor type II-like 1 (ACVRL1 ) and phospholipase A2 group IVA (PLA2G4A ) genes and review the available relevant literature. CASE SUMMARY A 20-year-old man was admitted to our center with a 6-year history of recurrent abdominal pain, diarrhea, and dark stools. At the onset 6 years ago, the patient had received treatment at a local hospital for abdominal pain persisting for 7 d, under the diagnosis of diffuse peritonitis, acute gangrenous appendicitis with perforation, adhesive intestinal obstruction, and pelvic abscess. The surgical treatment included exploratory laparotomy, appendectomy, intestinal adhesiolysis, and pelvic abscess removal. The patient’s condition improved and he was discharged. However, the recurrent episodes of abdominal pain and passage of black stools started again one year after discharge. On the basis of these features and results of subsequent colonoscopy, the clinical diagnosis was established as inflammatory bowel disease (IBD). Accordingly, aminosalicylic acid, immunotherapy, and related symptomatic treatment were administered, but the symptoms of the patient did not improve significantly. Further investigations revealed mutations in the ACVRL1 and PLA2G4A genes. ACVRL1 and PLA2G4A are involved in angiogenesis and coagulation, respectively. This suggests that the chronic intestinal ulcers and bleeding in this case may be linked to mutations in the ACVRL1 and PLA2G4A genes. Oral Kangfuxin liquid was administered to promote healing of the intestinal mucosa and effectively manage clinical symptoms. CONCLUSION Mutations in the ACVRL1 and PLA2G4A genes may be one of the causes of chronic intestinal ulcers and bleeding in IBD. Orally administered Kangfuxin liquid may have therapeutic potential.

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“…The eicosanoid signaling pathway based on arachidonic acid (AA) is involved in the development of human cancer. The cytoplasmic phospholipase A2-α (cPLA2α) encoded by the PLA2G4A gene acts as an upstream regulator of the eicosanoid signaling pathway by providing intracellular AA ( Bazhan and Khaniani, 2018 ). Studies have shown that the PLA2G4A gene can be used as a biomarker in various diseases such as gastric cancer ( Bazhan and Khaniani, 2018 ), acute myeloid leukemia ( Hassan et al, 2021 ; Lai et al, 2021 ), cholangiocarcinoma ( Sun et al, 2019 ), and colorectal cancer ( Zhan et al, 2021a ).…”

Section: Discussionmentioning

confidence: 99%

“…The cytoplasmic phospholipase A2-α (cPLA2α) encoded by the PLA2G4A gene acts as an upstream regulator of the eicosanoid signaling pathway by providing intracellular AA ( Bazhan and Khaniani, 2018 ). Studies have shown that the PLA2G4A gene can be used as a biomarker in various diseases such as gastric cancer ( Bazhan and Khaniani, 2018 ), acute myeloid leukemia ( Hassan et al, 2021 ; Lai et al, 2021 ), cholangiocarcinoma ( Sun et al, 2019 ), and colorectal cancer ( Zhan et al, 2021a ). PLA2G4A activates the colorectal cancer microenvironment to produce pro-cytokines IL-17A and adenosine, thereby establishing an effective immunosuppressive microenvironment and promoting immune evasion and tumor metastasis ( Zhan et al, 2021b ).…”

Section: Discussionmentioning

confidence: 99%

Integrated bioinformatical analysis, machine learning and in vitro experiment-identified m6A subtype, and predictive drug target signatures for diagnosing renal fibrosis

Feng

Wang²,

Liu³

et al. 2022

Front. Pharmacol.

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Renal biopsy is the gold standard for defining renal fibrosis which causes calcium deposits in the kidneys. Persistent calcium deposition leads to kidney inflammation, cell necrosis, and is related to serious kidney diseases. However, it is invasive and involves the risk of complications such as bleeding, especially in patients with end-stage renal diseases. Therefore, it is necessary to identify specific diagnostic biomarkers for renal fibrosis. This study aimed to develop a predictive drug target signature to diagnose renal fibrosis based on m6A subtypes. We then performed an unsupervised consensus clustering analysis to identify three different m6A subtypes of renal fibrosis based on the expressions of 21 m6A regulators. We evaluated the immune infiltration characteristics and expression of canonical immune checkpoints and immune-related genes with distinct m6A modification patterns. Subsequently, we performed the WGCNA analysis using the expression data of 1,611 drug targets to identify 474 genes associated with the m6A modification. 92 overlapping drug targets between WGCNA and DEGs (renal fibrosis vs. normal samples) were defined as key drug targets. A five target gene predictive model was developed through the combination of LASSO regression and stepwise logistic regression (LASSO-SLR) to diagnose renal fibrosis. We further performed drug sensitivity analysis and extracellular matrix analysis on model genes. The ROC curve showed that the risk score (AUC = 0.863) performed well in diagnosing renal fibrosis in the training dataset. In addition, the external validation dataset further confirmed the outstanding predictive performance of the risk score (AUC = 0.755). These results indicate that the risk model has an excellent predictive performance for diagnosing the disease. Furthermore, our results show that this 5-target gene model is significantly associated with many drugs and extracellular matrix activities. Finally, the expression levels of both predictive signature genes EGR1 and PLA2G4A were validated in renal fibrosis and adjacent normal tissues by using qRT-PCR and Western blot method.

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Supplementation with omega fatty acids increases the mRNA expression level of PLA2G4A in patients with gastric cancer

Cited by 6 publications

References 38 publications

Identification and Interaction Analysis of Molecular Markers in Pancreatic Ductal Adenocarcinoma by Bioinformatics and Next-Generation Sequencing Data Analysis

Identification and Interaction Analysis of Molecular Markers in Pancreatic Ductal Adenocarcinoma by Bioinformatics and Next-Generation Sequencing Data Analysis

Link between mutations in ACVRL1 and PLA2G4A genes and chronic intestinal ulcers: A case report and review of literature

Integrated bioinformatical analysis, machine learning and in vitro experiment-identified m6A subtype, and predictive drug target signatures for diagnosing renal fibrosis

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