2020
DOI: 10.3390/cancers12071809
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Identification of GSN and LAMC2 as Key Prognostic Genes of Bladder Cancer by Integrated Bioinformatics Analysis

Abstract: Bladder cancer is a common malignancy with mechanisms of pathogenesis and progression. This study aimed to identify the prognostic hub genes, which are the central modulators to regulate the progression and proliferation in the specific subtype of bladder cancer. The identification of the candidate hub gene was performed by weighted gene co-expression network analysis to construct a free-scale gene co-expression network. The gene expression profile of GSE97768 from the Gene Expression Omnibus database … Show more

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Cited by 25 publications
(21 citation statements)
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“…Bioinformatics can help identify potential biomarkers of prognosis and progression, and in this way to predict survival outcomes in patients with cancer [ 9 , 10 ]. Long noncoding RNAs (lncRNAs) constitute a class of noncoding RNA molecules that regulate the growth of cancer cells and progression [ 11 ], and they are potential biomarkers to predict cancer risk and survival outcomes [ 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…Bioinformatics can help identify potential biomarkers of prognosis and progression, and in this way to predict survival outcomes in patients with cancer [ 9 , 10 ]. Long noncoding RNAs (lncRNAs) constitute a class of noncoding RNA molecules that regulate the growth of cancer cells and progression [ 11 ], and they are potential biomarkers to predict cancer risk and survival outcomes [ 12 ].…”
Section: Introductionmentioning
confidence: 99%
“…cancer [4], gastric cancer [5], colorectal cancer [6], hepatocellular carcinoma [7], cholangiocarcinoma [8], bladder cancer [9], anaplastic thyroid carcinoma [10]. Besides, the expression levels of LAMC2 are often correlated with survival time in human cancers [3].…”
mentioning
confidence: 99%
“…Moreover, LAMC2 expression upregulation lowered the sensitivity of OC cells to the chemotherapeutic agents docetaxel and taxane via the PI3K/Akt axis[ 38 ]. LAMC2 expression upregulation was usually associated with worse prognosis for patients with head and neck squamous cell carcinoma (HNSC) [ 39 ], colorectal cancer[ 40 ], lung adenocarcinoma[ 41 ] and bladder cancer[ 42 ]. However, our bioinformatics analysis in the Kaplan-Meier plotter showed that OC patients with upregulated LAMC2 expression levels had better PFS and OS than those with low LAMC2 expression levels.…”
Section: Discussionmentioning
confidence: 99%