Bioinformatic Analysis of Prognostic and Immune-Related Genes in Pancreatic Cancer

Li, Ziang; Hu, Chang; Yang, Zhiqiang; Yang, Minlan; Fang, Jiayu; Zhou, Xuhong

doi:10.1155/2021/5549298

Cited by 4 publications

(4 citation statements)

References 32 publications

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“…At the same time, we detected significantly elevated expression of ZNF488 in PC tissues and cells. This is consistent with the report by Li et al [ 11 ]. We, therefore, speculated that ZNF488 might be involved in the development of PC.…”

Section: Discussionsupporting

confidence: 94%

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ZNF488 Promotes the Invasion and Migration of Pancreatic Carcinoma Cells through the Akt/mTOR Pathway

Qiu

Zhang

Wang

et al. 2022

Computational and Mathematical Methods in Medicine

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Objective. Studies have demonstrated that zinc finger protein 488 (ZNF488) is highly expressed in pancreatic carcinoma (PC), but its effect on PC and its molecular mechanism remains unclear. Methods. Real-time fluorescent quantitative PCR (RT-qPCR) was employed to detect the ZNF488 expression in PC patients’ cancer tissues and cell lines. After interfering with or overexpressing ZNF488 in PANC-1 and AsPC-1 cells, respectively, the CCK-8, cell cloning, Transwell, and scratch assays were performed to detect cell proliferation, cell viability, invasion ability, and migration ability. In addition, Western blot was applied to assess the protein expression of Akt, p-Akt, mTOR, and p-mTOR in the Akt-mTOR pathway. Results. The ZNF488 expression was evidently raised in PC tissues and cell lines, and the starBase V3.0 database indicated that the higher the ZNF488 expression, the lower the survival rate of PC patients. Furthermore, we discovered that overexpressing ZNF488 can markedly promote the proliferation, invasion, and migration of PC cells. At the same time, highly expressed ZNF488 distinctly increased the p-Akt and p-mTOR expressions and the p-Akt/Akt and p-mTOR/mTOR ratios. However, after knocking down the ZNF488 expression, it had the opposite results. In addition, the Akt agonist SC79 can alleviate the effect of ZNF488 knockdown on Akt/mTOR pathway-related proteins, while Akt inhibitor AZD5363 had the opposite effect. Conclusion. ZNF488 could promote the proliferation, invasion, and migration of PC cells, and its mechanism may be related to the activation of the Akt/mTOR pathway. This study demonstrated that ZNF488 could be used as a molecular target for diagnosing and treating PC.

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Section: Discussionsupporting

confidence: 94%

“…Besides, ZNF488 can be taken as an independent prognostic indicator for nasopharyngeal carcinoma [ 10 ]. What is more, Li et al predicted that ZNF488 is markedly highly expressed in PC tissues through bioinformatics [ 11 ], but its function in PC, as well as its mechanism, is currently unclear.…”

Section: Introductionmentioning

confidence: 99%

ZNF488 Promotes the Invasion and Migration of Pancreatic Carcinoma Cells through the Akt/mTOR Pathway

Qiu

Zhang

Wang

et al. 2022

Computational and Mathematical Methods in Medicine

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“…Moreover, FHDC1 methylation can be used as a prognostic factor for the survival and recurrence of lung adenocarcinoma ( 32 ). Previous studies showed that LY6D is upregulated in pancreatic cancer tissues and is a likely molecular target for predicting the survival outcomes of patients with pancreatic cancer ( 33 , 34 ). LY6D is also associated with other tumors, such as prostate cancer ( 35 ), non-small cell lung cancer ( 36 ), and breast carcinoma ( 37 ).…”

Section: Discussionmentioning

confidence: 99%

Prognostic biomarkers of pancreatic cancer identified based on a competing endogenous RNA regulatory network

Qu¹,

Lu²,

Mei³

et al. 2022

Transl Cancer Res TCR

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Background: Pancreatic cancer is an insidious and heterogeneous malignancy with poor prognosis that is often locally unresectable. Therefore, determining the underlying mechanisms and effective prognostic indicators of pancreatic cancer may help optimize clinical management. This study was conducted to develop a prognostic model for pancreatic cancer based on a competing endogenous RNA (ceRNA) network.Methods: We obtained transcriptomic data and corresponding clinicopathological information of pancreatic cancer samples from The Cancer Genome Atlas (TCGA) database (training set). Based on the ceRNA interaction network, we screened candidate genes to build prediction models. Univariate Cox regression analysis was performed to screen for genes associated with prognosis, and least absolute shrinkage and selection operator (LASSO) regression analysis was conducted to construct a predictive model. A receiver operating characteristic (ROC) curve was drawn, and the C-index was calculated to evaluate the accuracy of the prediction model. Furthermore, we downloaded transcriptomic data and related clinical information of pancreatic cancer samples from the Gene Expression Omnibus database (validation set) to evaluate the robustness of our prediction model.Results: Eight genes (ANLN, FHDC1, LY6D, SMAD6, ACKR4, RAB27B, AUNIP, and GPRIN3) were used to construct the prediction model, which was confirmed as an independent predictor for evaluating the prognosis of patients with pancreatic cancer through univariate and multivariate Cox regression analysis. By plotting the decision curve, we found that the risk score model is an independent predictor has the greatest impact on survival compared to pathological stage and targeted molecular therapy.Conclusions: An eight-gene prediction model was constructed for effectively and independently predicting the prognosis of patients with pancreatic cancer. These eight genes identified show potential as diagnostic and therapeutic targets.

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“…The high expression level of ANLN in breast cancer cells is related to the poor prognosis of patients with breast cancer [14]. ANLN is related to T lymphocyte infiltration in pancreatic cancer and has certain potential value in immunotherapy [15]. ANLN enhances the metastasis of lung adenocarcinoma by promoting epithelial-mesenchymal transformation [16].…”

Section: Introductionmentioning

confidence: 99%

Network Analysis of Differential Expression of ANLN and Its Interacting Proteins in Esophageal Squamous Cell Carcinoma

Sun,

Cao,

et al. 2023

austinjbiosensbioelectron

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Anillin (ANLN) is an actin binding protein, which was originally extracted from Drosophila melanogaster embryos. As a key regulatory factor in cytokinesis, ANLN is highly expressed in various tumors, leading to abnormal cell division and promoting the proliferation, migration, and invasion of cancer cells. At present, the role and regulatory mechanism of ANLN in human Esophageal Squamous Cell Carcinoma (ESCC) are not fully understood. The purpose of this study is to construct a Protein-Protein Interaction Network (PPIN) to reveal the characteristics of ANLN and its interacting proteins, by the integration of their expression in ESCC. The differentially expressed ANLN and its interacting proteins in ESCC were identified from our previous RNA-seq data. By constructing a specific PPI network, it was found that many differentially expressed genes/proteins may interact with ANLN. Multiple enrichment pathways of ANLN and its differentially expressed genes were explained by functional enrichment analysis, Gene Ontology (GO) analysis and KEGG pathway analysis. In addition, it is revealed that ANLN, ECT2, ACADM and PPP1R9A play an important role in the occurrence and development of ESCC, and they are proposed as new prognostic factors for ESCC. These bioinformatics analyses provide a comprehensive perspective for the role of ANLN in ESCC.

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Bioinformatic Analysis of Prognostic and Immune-Related Genes in Pancreatic Cancer

Cited by 4 publications

References 32 publications

ZNF488 Promotes the Invasion and Migration of Pancreatic Carcinoma Cells through the Akt/mTOR Pathway

ZNF488 Promotes the Invasion and Migration of Pancreatic Carcinoma Cells through the Akt/mTOR Pathway

Prognostic biomarkers of pancreatic cancer identified based on a competing endogenous RNA regulatory network

Network Analysis of Differential Expression of ANLN and Its Interacting Proteins in Esophageal Squamous Cell Carcinoma

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