Flap endonuclease 1 (FEN1) as a novel diagnostic and prognostic biomarker for gastric cancer

Zhao, Enfa; Zhou, Chang Ling; Chen, Shimin

doi:10.1016/j.clinre.2020.04.019

Cited by 23 publications

(17 citation statements)

References 20 publications

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“…In recent years, microarray technology, together with integrated bioinformatics analysis, has been performed to identify novel genes related to various diseases that might act as diagnostic and prognostic biological markers (10)(11)(12)(13)(14). For example, the expression of FFAR2, also known as GPR43, in AMI patients has been found to be notably lower than in the controls, and low levels of FFAR2 expression in peripheral blood was confirmed as an independent risk predictor for AMI, with an odds ratio of 6.308 (15).…”

Section: Introductionmentioning

confidence: 99%

Predicting Diagnostic Gene Biomarkers Associated With Immune Infiltration in Patients With Acute Myocardial Infarction

Zhao

Xie

Zhang

2020

Front. Cardiovasc. Med.

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The present study was designed to identify potential diagnostic markers for acute myocardial infarction (AMI) and determine the significance of immune cell infiltration in this pathology. Methods: Two publicly available gene expression profiles (GSE66360 and GSE48060 datasets) from human AMI and control samples were downloaded from the GEO database. Differentially expressed genes (DEGs) were screened between 80 AMI and 71 control samples. The LASSO regression model and support vector machine recursive feature elimination (SVM-RFE) analysis were performed to identify candidate biomarkers. The area under the receiver operating characteristic curve (AUC) value was obtained and used to evaluate discriminatory ability. The expression level and diagnostic value of the biomarkers in AMI were further validated in the GSE60993 dataset (17 AMI patients and 7 controls). The compositional patterns of the 22 types of immune cell fraction in AMI were estimated based on the merged cohorts using CIBERSORT. Results: A total of 27 genes were identified. The identified DEGs were mainly involved in carbohydrate binding, Kawasaki disease, atherosclerosis, and arteriosclerotic cardiovascular disease. Gene sets related to atherosclerosis signaling, primary immunodeficiency, IL-17, and TNF signaling pathways were differentially activated in AMI compared with the control. IL1R2, IRAK3, and THBD were identified as diagnostic markers of AMI (AUC = 0.877) and validated in the GSE60993 dataset (AUC = 0.941). Immune cell infiltration analysis revealed that IL1R2, IRAK3, and THBD were correlated with M2 macrophages, neutrophils, monocytes, CD4 + resting memory T cells, activated natural killer (NK) cells, and gamma delta T cells. Conclusion: IL1R2, IRAK3, and THBD can be used as diagnostic markers of AMI, and can provide new insights for future studies on the occurrence and the molecular mechanisms of AMI.

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Section: Introductionmentioning

confidence: 99%

Predicting Diagnostic Gene Biomarkers Associated With Immune Infiltration in Patients With Acute Myocardial Infarction

Zhao

Xie

Zhang

2020

Front. Cardiovasc. Med.

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“…Unexpectedly, UALCAN database showed that FEN1 levels were significantly lower in stage I BC than in normal and stage II BC. Zhao et al reported that FEN1 expression was higher in stage I gastric cancer tissues (n=56) than in normal tissues (36). The ATCG database showed no significant difference in FEN1 expression between stage I and stage II BC tissues (22).…”

Section: Discussionmentioning

confidence: 98%

“…Zhao et al. reported that FEN1 expression was higher in stage I gastric cancer tissues (n=56) than in normal tissues ( 36 ). The ATCG database showed no significant difference in FEN1 expression between stage I and stage II BC tissues ( 22 ).…”

Section: Discussionmentioning

confidence: 99%

Identification of Flap Endonuclease 1 With Diagnostic and Prognostic Value in Breast Cancer

Pan

Wang

et al. 2021

Front. Oncol.

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ObjectiveThis study aims to identify the potential value of flap endonuclease 1 (FEN1) as a diagnostic and prognostic marker for breast cancer (BC).MethodsELISA was used to measure serum FEN1 levels and ECLIA for CA153 and CEA levels. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic value. Oncomine and UALCAN databases were used to analyze the differences in FEN1 mRNA and protein expressions. Kaplan-Meier Plotter database was then used to assess the prognostic value.ResultsBioinformatics analysis showed that the FEN1 mRNA and protein levels were significantly higher in BC tissues than in normal tissues. FEN1 was detected in culture medium of BC cell lines and serum FEN1 concentrations were significantly increased in BC patients than in cancer-free individuals. Besides, FEN1 exhibited higher diagnostic accuracy (AUC values>0.800) than CA153 and CEA for distinguishing BC patients, especially early BC, from the healthy and benign groups, or individually. Additionally, serum FEN1 levels were significantly associated with the stage (P=0.001) and lymph invasion (P=0.016), and serum FEN1 levels were increased with the development of BC. Furthermore, serum FEN1 levels were significantly decreased in post-operative patients than in pre-operative patients (P=0.016). Based on the Kaplan-Meier Plotter database, the survival analysis indicated that FEN1 overexpression was associated with poor prognoses for overall survival (OS), relapse-free survival (RFS), and distant metastasis-free survival (DMFS) in BC patients.ConclusionFEN1 might be a novel diagnostic and prognostic marker for BC.

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“…Since we aimed to analyze the relationship of MAL2 with clinical features and its significance on the survival of patients with breast cancer, the median expression value of MAL2 was applied as a cut-off value for further analysis according to the previous studies [18][19][20][21].…”

Section: E Verification Of Mal2 By Qrt-pcrmentioning

confidence: 99%

Overexpression of MAL2 Correlates with Immune Infiltration and Poor Prognosis in Breast Cancer

Zhong

Zhuang

et al. 2021

Evidence-Based Complementary and Alternative Medicine

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Background. Myelin and lymphocyte, T cell differentiation protein 2 (MAL2) is highly expressed in various cancers and associated with the development and prognosis of cancer. However, the relationship between MAL2 and breast cancer requires further investigation. This study aimed to explore the prognostic significance of MAL2 in breast cancer. Methods. MAL2 expression was initially assessed using the Oncomine database and The Cancer Genome Atlas (TCGA) database and verified by quantitative real-time polymerase chain reaction (RT-qPCR). The chi-square test or Fisher’s exact test was used to explore the association between clinical characteristics and MAL2 expression. The prognostic value of MAL2 in breast cancer was assessed by the Kaplan–Meier method and Cox regression analysis. Gene set enrichment analysis (GSEA) was performed to identify the biological pathways correlated with MAL2 expression in breast cancer. Besides, a single-sample GSEA (ssGSEA) was used to assess the relationship between the level of immune infiltration and MAL2 in breast cancer. Results. Both bioinformatics and RT-qPCR results showed that MAL2 was expressed at high levels in breast cancer tissues compared with the adjacent tissues. The chi-square test or Fisher’s exact test indicated that MAL2 expression was related to stage, M classification, and vital status. Kaplan–Meier curves implicated that high MAL2 expression was significantly associated with the poor prognosis. Cox regression models showed that high MAL2 expression could be an independent risk factor for breast cancer. GSEA showed that 14 signaling pathways were enriched in the high-MAL2-expression group. Besides, the MAL2 expression level negatively correlated with infiltrating levels of eosinophils and plasmacytoid dendritic cells in breast cancer. Conclusion. Overexpression of MAL2 correlates with poor prognosis and lower immune infiltrating levels of eosinophils and plasmacytoid dendritic cells in breast cancer and may become a biomarker for breast cancer prognosis.

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Flap endonuclease 1 (FEN1) as a novel diagnostic and prognostic biomarker for gastric cancer

Cited by 23 publications

References 20 publications

Predicting Diagnostic Gene Biomarkers Associated With Immune Infiltration in Patients With Acute Myocardial Infarction

Predicting Diagnostic Gene Biomarkers Associated With Immune Infiltration in Patients With Acute Myocardial Infarction

Identification of Flap Endonuclease 1 With Diagnostic and Prognostic Value in Breast Cancer

Overexpression of MAL2 Correlates with Immune Infiltration and Poor Prognosis in Breast Cancer

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