scholarly journals Correlations between P2RX1 Expression and Gastrointestinal Cancers Prognosis and Immune Infiltration Based on Bioinformatics Analysis

2021 ◽  
Vol 5 (6) ◽  
pp. 1-15
Author(s):  
Ting Li ◽  
Jiankai Feng ◽  
Pihong Yan ◽  
Hongwei Tan ◽  
Lili Wang ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Immune Checkpoint ◽  
Methylation Level ◽  
Enrichment Analysis ◽  
Gastrointestinal Tumors ◽  
Gastrointestinal Cancers ◽  
Cox Regression Analysis ◽  
Immune Infiltration ◽  
Infiltrating Cells ◽  
Checkpoint Genes

This study was conducted to explore the correlations between the expression, methylation, and various clinicopathological factors of purinergic P2X1 receptor (P2RX1) and the prognosis of patients with gastrointestinal tumors. The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases were used to analyze the expression of P2RX1 in different types of gastrointestinal cancers. Kaplan-Meier analysis and univariate Cox regression analysis were used to analyze the correlations between P2RX1 expression and the prognosis of various gastrointestinal tumors. Correlations between P2RX1 expression and N6 methyladenine (m6A)-related genes as well as immune checkpoint genes were analyzed by R packages (R version: 4.0.3) based on TCGA database. The association between P2RX1 methylation level and the prognosis of patients with gastrointestinal cancers was analyzed using the MethSurv database. In order to explore the biological functions of P2RX1 in hepatocellular carcinoma, the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analysis were carried out using R software. In order to evaluate the correlations between P2RX1 and tumor immune infiltration, Spearman correlation test was performed. The correlations between P2RX1 expression and immune score as well as immune checkpoint genes were analyzed based on TCGA and Tumor Immune Estimation Resource (TIMER) databases. The expression of P2RX1 was found to be significantly downregulated in gastrointestinal tumors except in cholangiocarcinoma (P < 0.05). High expression of P2RX1 tended to present better prognosis in hepatocellular carcinoma (P < 0.05). It was noted that cg06475633 of P2RX1 presented a higher methylation level compared with other CpG sites in hepatocellular carcinoma. Overall, six CpGs of P2RX1 were associated with significant prognosis in patients with hepatocellular carcinoma (P < 0.05). Among all the 20 m6A-related genes, Wilms’ tumor 1-associating protein (WTAP) was the most strongly correlated with P2RX1 in hepatocellular carcinoma. Gene enrichment analysis showed that P2RX1 is widely involved in the proliferation, activation, organization, and differentiation of various immune cells. After investigating the TIMER database, P2RX1 was found to be tightly correlated with immune infiltrating cells in gastrointestinal tumors, especially with dendritic cells. Moreover, P2RX1 was found to be strongly positively associated with programmed cell death 1 (PD1), programmed death-ligand 1 (PD-L1), and cytotoxic T-lymphocyte-associated protein 4 (CTLA4) in hepatocellular carcinoma (P < 0.05). In conclusion, the dual role of P2RX1 in cancers and its involvement in the recruitment as well as regulation of tumor infiltrating cells in gastrointestinal cancers may be appreciated through this study.

scholarly journals Integrated Analysis of FAM57A Expression and Its Potential Roles in Hepatocellular Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
Junwei Wei ◽  
Yun Liu ◽  
Caiyan Zhao
Keyword(s):  
Hepatocellular Carcinoma ◽  
Immune Checkpoint ◽  
Cox Regression ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Functional Enrichment ◽  
Integrated Analysis ◽  
Functional Assay ◽  
Lung Carcinogenesis ◽  
Checkpoint Genes

BackgroundFamily with sequence similarity 57 member A (FAM57A) is a membrane associated gene contributing to lung carcinogenesis. In hepatocellular carcinoma (HCC) and other cancers, whether FAM57A exerts similar roles has been rarely reported. Herein, the biological functions and clinical significance of FAM57A in HCC were explored.MethodsInitially the differential expression of FAM57A between nontumor and HCC tissues was validated using a number of publicly accessible databases and immunohistochemistry (IHC). Then, the Kruskal–Wallis rank sum test or the Wilcoxon rank sum test as well as logistic regression were employed to analyze the association of FAM57A expression with clinical characteristics of HCC. The Cox regression and Kaplan–Meier analyses were conducted to assess the prognostic significance. Besides, with the coexpression analysis, Gene Ontology (GO), Gene Set Enrichment Analysis (GSEA), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, the molecular pathomechanisms that were mediated by FAM57A in HCC were elucidated. Furthermore, the correlations between FAM57A expression and tumor-infiltrating immune cells (TIICs) or immune checkpoint genes were analyzed. Finally, in vitro cell functional assay was carried out to preliminarily verify the role of FAM57A in HCC.ResultsFAM57A expression was demonstrated to be higher in HCC samples than in nontumor samples (all p-values &lt;0.05), statistically correlated with clinicopathological characteristics (clinical stage, T stage, pathological grade), and inversely correlated to HCC patient survival. Univariate and multivariate Cox regression analyses showed that FAM57A expression could independently predict prognosis in HCC patients. Functional enrichment analyses further indicated that FAM57A was involved in multiple tumor-related pathways. FAM57A expression was positively correlated with TIICs, gene markers of TIICs, as well as immune checkpoint genes. Also, high expression of FAM57A predicted a poor prognosis for HCC based on immune cell subgroups. Functional assay of FAM57A knockdown significantly inhibited cell proliferation and induced cell apoptosis in HCC cells.ConclusionsOur results indicated that FAM57A could be used as a biomarker to predict the prognosis and immunotherapy response for HCC patients and might function as an oncogene to promote HCC progression.

scholarly journals In Silico Identification of Contradictory Role of ADAMTS5 in Hepatocellular Carcinoma

2021 ◽  
Vol 20 ◽  
pp. 153303382098682
Author(s):  
Zhipeng Zhu ◽  
Jiuhua Xu ◽  
Xiaofang Wu ◽  
Sihao Lin ◽  
Lulu Li ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Subgroup Analysis ◽  
Prognostic Value ◽  
Molecular Mechanisms ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Clinicopathological Parameters ◽  
Free Survival ◽  
Cox Regression Analysis ◽  
The Impact

Background: ADAMTS5 has different roles in multiple types of cancers and participates in various molecular mechanisms. However, the prognostic value of ADAMTS5 in patients with hepatocellular carcinoma (HCC) still remains unclear. We carried the study to evaluate the prognostic value and identified underlying molecular mechanisms in HCC. Methods: Firstly, the association of ADAMTS5 expression and clinicopathological parameters was evaluated by in GSE14520. Next, ADAMTS5 expression in HCC was performed using GSE14520, GSE36376, GSE76427 and The Cancer Genome Atlas (TCGA) profile. Furthermore, Kaplan-Meier analysis, Univariate and Multivariate Cox regression analysis, subgroup analysis was performed to evaluate the prognostic value of ADAMTS5 in HCC. Finally, GO enrichment analysis, gene set enrichment analysis (GSEA) and weighted gene co-expression network analysis (WGCNA) were performed to revealed underlying molecular mechanisms. Result: The expression of ADAMTS5 was positively correlated with the development of HCC. Next, high ADAMTS5 expression was significantly associated with poorer survival (all P < 0.05) and the impact of ADAMTS5 on all overall survival (OS), disease-free survival (DFS), relapse-free survival (RFS), disease specific survival (DSS) and progression free interval (PFI) was specific for HCC among other 29 cancer types. Subgroup analysis showed that ADAMTS5 overexpression was significantly associated with poorer OS in patients with HCC. Finally, ADAMTS5 might participate in the status conversion from metabolic-dominant to extracellular matrix-dominant, and the activation of ECM-related biological process might contribute to high higher mortality risk for patients with HCC. Conclusion: ADAMTS5 may play an important role in the progression of HCC, and may be considered as a novel and effective biomarker for predicting prognosis for patients with HCC.

scholarly journals Identification of a five-gene signature in association with overall survival for hepatocellular carcinoma

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11273
Author(s):  
Lei Yang ◽  
Weilong Yin ◽  
Xuechen Liu ◽  
Fangcun Li ◽  
Li Ma ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Cell Cycle ◽  
Overall Survival ◽  
Cox Regression ◽  
Enrichment Analysis ◽  
Gene Signature ◽  
Gene Set Enrichment Analysis ◽  
Enrichment Score ◽  
Hub Genes ◽  
Cox Regression Analysis

Background Hepatocellular carcinoma (HCC) is considered to be a malignant tumor with a high incidence and a high mortality. Accurate prognostic models are urgently needed. The present study was aimed at screening the critical genes for prognosis of HCC. Methods The GSE25097, GSE14520, GSE36376 and GSE76427 datasets were obtained from Gene Expression Omnibus (GEO). We used GEO2R to screen differentially expressed genes (DEGs). A protein-protein interaction network of the DEGs was constructed by Cytoscape in order to find hub genes by module analysis. The Metascape was performed to discover biological functions and pathway enrichment of DEGs. MCODE components were calculated to construct a module complex of DEGs. Then, gene set enrichment analysis (GSEA) was used for gene enrichment analysis. ONCOMINE was employed to assess the mRNA expression levels of key genes in HCC, and the survival analysis was conducted using the array from The Cancer Genome Atlas (TCGA) of HCC. Then, the LASSO Cox regression model was performed to establish and identify the prognostic gene signature. We validated the prognostic value of the gene signature in the TCGA cohort. Results We screened out 10 hub genes which were all up-regulated in HCC tissue. They mainly enrich in mitotic cell cycle process. The GSEA results showed that these data sets had good enrichment score and significance in the cell cycle pathway. Each candidate gene may be an indicator of prognostic factors in the development of HCC. However, hub genes expression was weekly associated with overall survival in HCC patients. LASSO Cox regression analysis validated a five-gene signature (including CDC20, CCNB2, NCAPG, ASPM and NUSAP1). These results suggest that five-gene signature model may provide clues for clinical prognostic biomarker of HCC.

scholarly journals Identification and Validation of Immune-Related LncRNA Prognostic Signature for Lung Adenocarcinoma

2021 ◽  
Vol 12 ◽  
Author(s):  
Guomin Wu ◽  
Qihao Wang ◽  
Ting Zhu ◽  
Linhai Fu ◽  
Zhupeng Li ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Lung Adenocarcinoma ◽  
Clinical Features ◽  
Cox Regression ◽  
Differential Expression Analysis ◽  
Enrichment Analysis ◽  
Gene Set Enrichment Analysis ◽  
Prognostic Signature ◽  
Cox Regression Analysis ◽  
Immune Infiltration

This study aimed to establish a prognostic risk model for lung adenocarcinoma (LUAD). We firstly divided 535 LUAD samples in TCGA-LUAD into high-, medium-, and low-immune infiltration groups by consensus clustering analysis according to immunological competence assessment by single-sample gene set enrichment analysis (ssGSEA). Profile of long non-coding RNAs (lncRNAs) in normal samples and LUAD samples in TCGA was used for a differential expression analysis in the high- and low-immune infiltration groups. A total of 1,570 immune-related differential lncRNAs in LUAD were obtained by intersecting the above results. Afterward, univariate COX regression analysis and multivariate stepwise COX regression analysis were conducted to screen prognosis-related lncRNAs, and an eight-immune-related-lncRNA prognostic signature was finally acquired (AL365181.2, AC012213.4, DRAIC, MRGPRG-AS1, AP002478.1, AC092168.2, FAM30A, and LINC02412). Kaplan–Meier analysis and ROC analysis indicated that the eight-lncRNA-based model was accurate to predict the prognosis of LUAD patients. Simultaneously, univariate COX regression analysis and multivariate COX regression analysis were undertaken on clinical features and risk scores. It was illustrated that the risk score was a prognostic factor independent from clinical features. Moreover, immune data of LUAD in the TIMER database were analyzed. The eight-immune-related-lncRNA prognostic signature was related to the infiltration of B cells, CD4+ T cells, and dendritic cells. GSEA enrichment analysis revealed significant differences in high- and low-risk groups in pathways like pentose phosphate pathway, ubiquitin mediated proteolysis, and P53 signaling pathway. This study helps to treat LUAD patients and explore molecules related to LUAD immune infiltration to deeply understand the specific mechanism.

scholarly journals Identification and Validation of an 6-Metabolism-Related Gene Signature and Its Correlation With Immune Checkpoint in Hepatocellular Carcinoma

2021 ◽  
Vol 11 ◽  
Author(s):  
He Ren ◽  
Wanjing Li ◽  
Xin Liu ◽  
Shuliang Li ◽  
Hao Guo ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Immune Checkpoint ◽  
Immune Cell ◽  
Enrichment Analysis ◽  
Gene Signature ◽  
Clinicopathological Characteristics ◽  
Gene Set Enrichment Analysis ◽  
Operating Characteristics ◽  
Kaplan Meier ◽  
Characteristics Analysis

Hepatocellular carcinoma (HCC) is a common malignant tumor with relatively high malignancy and rapid disease progression. Metabolism-related genes (MRGs) are involved in the pathogenesis of HCC. This study explored potential key MRGs and their effect on T-cell immune function in the tumor immune microenvironment to provide new insight for the treatment of HCC. Of 456 differentially expressed MRGs identified from TCGA database, 21 were screened by MCODE and cytoHubba algorithms. From the key module, GAD1, SPP1, WFS1, GOT2, EHHADH, and APOA1 were selected for validation. The six MRGs were closely correlated with survival outcomes and clinicopathological characteristics in HCC. Receiver operating characteristics analysis and Kaplan-Meier plots showed that these genes had good prognostic value for HCC. Gene set enrichment analysis of the six MRGs indicated that they were associated with HCC development. TIMER and GEPIA databases revealed that WFS1 was significantly positively correlated and EHHADH was negatively correlated with tumor immune cell infiltration and immune checkpoint expression. Finally, quantificational real-time polymerase chain reaction (qRT-PCR) confirmed the expression of WFS1 and EHHADH mRNA in our own patients’ cohort samples and four HCC cell lines. Collectively, the present study identified six potential MRG biomarkers associated with the prognosis and tumor immune infiltration of HCC, thus providing new insight into the pathogenesis and treatment of HCC.

scholarly journals The polymorphism rs975484 in the protein arginine methyltransferase 1 gene modulates expression of immune checkpoint genes in hepatocellular carcinoma

2020 ◽  
Vol 295 (20) ◽  
pp. 7126-7137 ◽  
Author(s):  
Michael Schonfeld ◽  
Jie Zhao ◽  
Amberly Komatz ◽  
Steven A. Weinman ◽  
Irina Tikhanovich
Keyword(s):  
Hepatocellular Carcinoma ◽  
Immune Checkpoint ◽  
Immune Checkpoints ◽  
Luciferase Reporter ◽  
Antibody Treatment ◽  
Protein Arginine Methyltransferase ◽  
Arginine Methyltransferase ◽  
Protein Arginine Methyltransferase 1 ◽  
Checkpoint Genes ◽  
Methyltransferase 1

Protein arginine methyltransferase 1 (PRMT1) is a key regulator of hepatic immune responses. Recently, we reported that PRMT1 regulates the tumor immune response in hepatocellular carcinoma (HCC). Here we found that PRMT1 expression in human HCC correlates with that of programmed cell death 1 ligand 1 (PD-L1), PD-L2, and other checkpoint genes. PRMT1 deletion in mice reduced PD-L1 and PD-L2 expression in tumors and reduced the efficiency of PD-1 antibody treatment in a diethylnitrosamine-induced HCC mouse model, suggesting that PRMT1 regulates the hepatic immune checkpoint. Mice had reduced PD-L1 and PD-L2 expression when PRMT1 was specifically deleted in tumor cells or macrophages, but PRMT1 deletion in dendritic cells did not alter PD-L1 and PD-L2 expression. rs975484 is a common polymorphism in the human PRMT1 gene promoter, and we found that it alters PRMT1 expression in blood monocytes and tumor-associated macrophages in human HCC. PRMT1 expression was higher in individuals with a GG genotype than in individuals with a CC genotype, and heterozygous carriers had intermediate expression. Luciferase reporter assays indicated that this differential expression is due to an extra C/EBPβ-binding site in the PRMT1 promoter of individuals carrying the minor G allele. The rs975484 genotype also correlated with PRMT1 target expression in HCC. Individuals with the GG genotype had significantly higher levels of the PRMT1 targets PD-L1, PD-L2, and VISTA than those with the CC genotype. We conclude that PRMT1 critically controls immune checkpoints in mice and humans and that the PRMT1 polymorphism rs975484 affects checkpoint gene expression in HCC.

scholarly journals Identification of the HMMR Gene as a Diagnostic and Prognostic Biomarker in Hepatocellular Carcinoma Based on Integrated Bioinformatics Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Honglan Guo ◽  
Qinqiao Fan
Keyword(s):  
Hepatocellular Carcinoma ◽  
Roc Curve ◽  
Cox Regression ◽  
Enrichment Analysis ◽  
Cancer Genome ◽  
Gene Set Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Roc Curve Analysis ◽  
Cox Regression Analysis ◽  
Normal Tissues

Background. We aimed to investigate the expression of the hyaluronan-mediated motility receptor (HMMR) gene in hepatocellular carcinoma (HCC) and nonneoplastic tissues and to investigate the diagnostic and prognostic value of HMMR. Method. With the reuse of the publicly available The Cancer Genome Atlas (TCGA) data, 374 HCC patients and 50 nonneoplastic tissues were used to investigate the diagnostic and prognostic values of HMMR genes by receiver operating characteristic (ROC) curve analysis and survival analysis. All patients were divided into low- and high-expression groups based on the median value of HMMR expression level. Univariate and multivariate Cox regression analysis were used to identify prognostic factors. Gene set enrichment analysis (GSEA) was performed to explore the potential mechanism of the HMMR genes involved in HCC. The diagnostic and prognostic values were further validated in an external cohort from the International Cancer Genome Consortium (ICGC). Results. HMMR mRNA expression was significantly elevated in HCC tissues compared with that in normal tissues from both TCGA and the ICGC cohorts (all P values <0.001). Increased HMMR expression was significantly associated with histologic grade, pathological stage, and survival status (all P values <0.05). The area under the ROC curve for HMMR expression in HCC and normal tissues was 0.969 (95% CI: 0.948–0.983) in the TCGA cohort and 0.956 (95% CI: 0.932–0.973) in the ICGC cohort. Patients with high HMMR expression had a poor prognosis than patients with low expression group in both cohorts (all P < 0.001 ). Univariate and multivariate analysis also showed that HMMR is an independent predictor factor associated with overall survival in both cohorts (all P values <0.001). GSEA showed that genes upregulated in the high-HMMR HCC subgroup were mainly significantly enriched in the cell cycle pathway, pathways in cancer, and P53 signaling pathway. Conclusion. HMMR is expressed at high levels in HCC. HMMR overexpression may be an unfavorable prognostic factor for HCC.

scholarly journals A Cholesterol Homeostasis-Related Gene Signature Predicts Prognosis of Endometrial Cancer and Correlates With Immune Infiltration

2021 ◽  
Vol 12 ◽  
Author(s):  
Yili Chen ◽  
Kaping Lee ◽  
Yanchun Liang ◽  
Shuhang Qin ◽  
Yuan Zhu ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Roc Curve ◽  
Cholesterol Metabolism ◽  
Enrichment Analysis ◽  
Gene Signature ◽  
Cholesterol Homeostasis ◽  
Related Gene ◽  
Training Cohort ◽  
Cox Regression Analysis ◽  
Immune Infiltration

Background: Endometrial cancer (EC) is one of the most common gynecological malignancies in women. Cholesterol metabolism has been confirmed to be closely related to tumor proliferation, invasion and metastasis. However, the correlation between cholesterol homeostasis-related genes and prognosis of EC remains unclear.Methods: EC patients from the Cancer Genome Atlas (TCGA) database were randomly divided into training cohort and test cohort. Transcriptome analysis, univariate survival analysis and LASSO Cox regression analysis were adopted to construct a cholesterol homeostasis-related gene signature from the training cohort. Subsequently, Kaplan-Meier (KM) plot, receiver operating characteristic (ROC) curve and principal component analysis (PCA) were utilized to verify the predictive performance of the gene signature in two cohorts. Additionally, enrichment analysis and immune infiltration analysis were performed on differentially expressed genes (DEGs) between two risk groups.Results: Seven cholesterol homeostasis-related genes were selected to establish a gene signature. KM plot, ROC curve and PCA in two cohorts demonstrated that the gene signature was an efficient independent prognostic indicator. The enrichment analysis and immune infiltration analysis indicated that the high-risk group generally had lower immune infiltrating cells and immune function.Conclusion: We constructed and validated a cholesterol homeostasis-related gene signature to predict the prognosis of EC, which correlated to immune infiltration and expected to help the diagnosis and precision treatment of EC.

scholarly journals Nuclear Respiratory Factor 1 Associated with Prognosis and Immune Infiltration in Hepatocellular Carcinoma

2020 ◽  
Author(s):  
Dan Wang ◽  
Linlin Huang ◽  
Xiaojing Zhang ◽  
Pingping Sun ◽  
Yapeng Lu ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
T Cells ◽  
Chronic Hepatitis ◽  
Mrna Expression ◽  
Tumor Infiltrating Lymphocytes ◽  
Cox Regression Analysis ◽  
Nuclear Respiratory Factor ◽  
Immune Infiltration ◽  
Nuclear Respiratory Factor 1 ◽  
Infiltrating Lymphocytes

Abstract Background: Recent studies have shown that functional mitochondria are essential for cancer cells. Nuclear respiratory factor 1 (NRF1) is a transcription factor that activates mitochondrial biogenesis and the expression of the respiratory chain, but little is known about its prognostic value and tumor-infiltrating lymphocytes association. Here, we evaluated the association among expression of NRF1, clinicopathological characteristics, survival and immune infiltration in hepatocellular carcinoma (HCC).Methods: We used the Tumor Immune Estimation Resource (TIMER) to analyze the difference of NRF1 mRNA expression in human cancers. Clinical-pathological information and follow-up data were collected from HCC (n = 171) and chronic hepatitis (n = 113) patients. NRF1 expression were scored based on the percentage and intensity of immunohistochemical staining in pathological slides. Correlations between clinical features and the expression of NRF1 were evaluated by Chi-square test, Kaplan-Meier curves, logrank tests and multivariate Cox regression analysis. The correlations between NRF1 expression and gene marker sets of tumor infiltrating lymphocytes (TILs) were analyzed by TIMER and Gene Expression Profiling Interactive Analysis (GEPIA) databases. Results: NRF1 mRNA expression was significantly higher in HCC than in normal tissue. Compared with chronic hepatitis, more frequency of NRF1 high expression are found in HCC (31.58 % vs 13.27 %, P < 0.001, P < 0.001). In addition, the NRF1 expression was significantly associated with hepatic cirrhosis (P = 0.021) and vascular invasion (P = 0.025). NRF1 expression was also a significant independent predictor of survival in HCC (P = 0.003; HRadj = 0.20; 95% CI = 0.09 – 0.44). NRF1 showed positively correlated with TILs, including B cell (r = 0.384, P = 1.68e-13), CD8+ T cells (r = 0.246, P = 3.99e-06), CD4+ T cells (r = 0.535, P = 6.90e-27), macrophage (r = 0.506, P = 1.52e-23), neutrophils (r = 0.465, P = 6.08e-20) and dendritic cell (r = 0.404, P = 8.61e-15). The marker genes of TILs correlated significantly with NRF1 expression.Conclusions: NRF1 expression was a useful independent prognostic factor and correlated with tumor immune infiltration in HCC.

scholarly journals Immune infiltration of MMP14 in Pan-cancer and its prognostic effect on tumor

2021 ◽  
Author(s):  
Minde Li ◽  
Shaoyang Li ◽  
Lin Zhou ◽  
Le Yang ◽  
Xiao Wu ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Microsatellite Instability ◽  
Mismatch Repair ◽  
Immune Checkpoint ◽  
Mutation Load ◽  
Immune Infiltration ◽  
Tumor Prognosis ◽  
Checkpoint Genes ◽  
The Relationship ◽  
Pan Cancer

Abstract Background: Matrix metallopeptidase 14(MMPL4) is a member of the matrix metalloproteinase family, which interacts with tissue metalloproteinase inhibitors (TIMPs), and is involved in normal physiological functions such as cell migration, invasion, metastasis, angiogenesis and proliferation, as well as tumor genesis and progression. However, there has been a lack of relevant reports on the effect of MMP14 on pan-cancer. This study aims to explore the correlation between MMP14 and pan-cancer prognosis, immune infiltration, and the effects of pan-cancer gene mismatch repair (MMR), microsatellite instability (MSI), tumor mutation load (TMB), DNA methylation, and immune checkpoint genes.Methods: In this study, we used bioinformatics to analyze data from multiple databases, including TCGA, Oncomine and Kaplan-Meier Plotter. We investigated the relationship between the expression of MMP14 in tumors and tumor prognosis, the relationship between MMP14 expression and tumor cell immune infiltration, and the relationship between MMR gene mismatch repair (MMR), microsatellite instability (MSI), tumor mutation load (TMB), DNA methylation, and immune checkpoint genes.Results: MMP14 expression is highly associated with prognosis of a variety of cancers, tumor immunoinvasion, and has important effects on pan-oncologic mismatch repair (MMR), microsatellite instability (MSI), tumor mutation load (TMB), DNA methylation, and immune checkpoint genes. Conclusion: MMP14 is highly correlated with tumor prognosis and immunoinvasion, and affects the occurrence and progression of many tumors. All these fully indicate that MMP14 may be a biomarker for the prognosis, diagnosis and treatment of many tumors, and provide a new idea and direction for subsequent tumor immune research and treatment strategies.

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