Abstract

Colon adenocarcinoma (COAD) is one of the most common cancer happened in gastrointestinal tract, with the overall incidence rate of 4%-5% among human beings. Like most malignancies, we uncovered the exact mechanisms of the pathogenesis of colorectal cancer yet. Therefore, there is an urgent need to explore the molecules that can be used as diagnostic maker at early stage. In addition, we also need to define the essential factors that related to the prognosis and treatment of the colon carcinoma. The study was conducted at the Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China in September 2020. The R language was used to identify the differentially expressed genes. We performed receiver operating characteristic curve analysis to determine the diagnostic markers for COAD. The machine learning strategy was used to assess the effectiveness of genes in the diagnosis of COAD. The molecular mechanism and prognostic value of genes were explored by bioinformatics analysis and molecular experiments. The expression level of heat shock factor 4 (HSF4) was significantly elevated in COAD patients (P=1.89×10-29), according to The Cancer Genome Atlas (TCGA) database. Additionally, survival analysis showed the higher expression level of the HSF4 was correlated with the poor prognosis in COAD. The HSF4 was the target gene of zinc finger protein 692(ZNF692). HSF4 might promote the progression of COAD through the apoptosis pathway. It was diagnostic and prognosis maker of COAD. Furthermore, the upstream gene of HSF4, ZNF692, promotes the progression of colorectal cancer by regulating HSF4 expression.

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