Dataset Information

Matrix Metalloproteinase 11 is a Potential Biomarker in Bladder Cancer Diagnosis and Prognosis.

ABSTRACT: Purpose:Bladder cancer is one of the leading causes of cancer death all over the world, and half of patients are diagnosed at advanced stages with poor therapeutic response. Thus, developing new biomarkers for bladder cancer diagnosis and prognosis is urgently needed. Materials and Methods:Bioinformatic and gene ontology (GO) analysis were employed to screen highly upregulated and secretory tumor markers in the TCGA BLCA cohort. IHC in tissue microarray and ELISA in cancer cell culture medium were used to validate the expression of putative biomarkers in bladder cancer. Bisulfite sequencing was used to detect DNA methylation status in the promoter of putative genes. Results:In this study, MMP11 is first identified as one of the most differentially expressed genes (DEGs) in bladder cancer by meta-analysis in a TCGA bladder cancer cohort. The strong upregulation of MMP11 is confirmed at protein levels in both bladder cancer patients and cell lines. Mechanistic studies reveal that MMP11 promoter hypomethylation, but not genomic amplification or mutation, accounts for its enhanced expression in bladder cancer both in vitro and in vivo. Moreover, clinicopathological analysis indicates that MMP11 upregulation is associated with the tumor progression and poor survival in bladder cancer patients. Discussion:These findings suggest that MMP11, as a secretory protein, is a promising biomarker for diagnosis and prognosis in bladder cancer.

SUBMITTER: Chen C

PROVIDER: S-EPMC7494396 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Matrix Metalloproteinase 11 is a Potential Biomarker in Bladder Cancer Diagnosis and Prognosis.

Chen Chen C Liu Xiaoping X Jiang Jiazhi J Li Shenjuan S Wang Gang G Ju Lingao L Wang Fubing F Liu Tongzu T Li Sheng S

OncoTargets and therapy 20200911

<h4>Purpose</h4>Bladder cancer is one of the leading causes of cancer death all over the world, and half of patients are diagnosed at advanced stages with poor therapeutic response. Thus, developing new biomarkers for bladder cancer diagnosis and prognosis is urgently needed.<h4>Materials and methods</h4>Bioinformatic and gene ontology (GO) analysis were employed to screen highly upregulated and secretory tumor markers in the TCGA BLCA cohort. IHC in tissue microarray and ELISA in cancer cell cu ...[more]

PMID: 32982295

Similar Datasets

Project description:Purpose: Prolyl 4-hydroxylase subunit alpha 3 (P4HA3) is implicated in several cancers' development. However, P4HA3 has not been reported in other cancers, and the exact mechanism of action is currently unknown. Materials and methods: First, the expression profile of P4HA3 was analyzed using a combination of the University of California Santa Cruz (UCSC) database, Cancer Cell Line Encyclopedia (CCLE) database, and Genotype-Tissue Expression (GTEx) database. UniCox and Kaplan-Meier were used to analyze the predictive value of P4HA3. The expression of P4HA3 was analyzed in clinical staging, immune subtypes, and Molecular subtypes. Secondly, the correlation of P4HA3 with immunomodulatory genes, immune checkpoint genes, RNA modification genes, immune cell infiltration, cancer-related functional status, tumor stemness index, DNA mismatch repair (MMR) genes and DNA Methyltransferase was examined. The role of P4HA3 in DNA methylation, copy number variation (CNV), mutational status, tumor mutational burden (TMB), and microsatellite instability (MSI) was also analyzed. In addition, gene set enrichment analysis (GSEA) was used to explore the potential functional mechanisms of P4HA3 in pan-cancer. Finally, P4HA3-related drugs were searched in CellMiner, Genomics of Drug Sensitivity in Cancer (GDSC), and Cancer Therapeutics Response Portal (CTRP) databases. Results: P4HA3 is significantly overexpressed in most cancers and is associated with poor prognosis. P4HA3 is strongly associated with clinical cancer stage, immune subtypes, molecular subtypes, immune regulatory genes, immune checkpoint genes, RNA modifier genes, immune cell infiltration, cancer-related functional status, tumor stemness index, MMR Gene, DNA Methyltransferase, DNA methylation, CNV, mutational status, TMB, and MSI are closely related. Available enrichment analysis revealed that P4HA3 is associated with the epithelial-mesenchymal transition and immune-related pathways. There are currently 20 drugs associated with P4HA3. Conclusion: In human pan-cancer, P4HA3 is associated with poor patient prognosis and multiple immune cells and may be a novel immunotherapeutic target. It may act on tumor progression through the epithelial-mesenchymal transition (EMT) pathway.

Dataset Information

Matrix Metalloproteinase 11 is a Potential Biomarker in Bladder Cancer Diagnosis and Prognosis.

Publications

Matrix Metalloproteinase 11 is a Potential Biomarker in Bladder Cancer Diagnosis and Prognosis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets