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HDGF and PRKCA upregulation is associated with a poor prognosis in patients with lung adenocarcinoma.

ABSTRACT: Lung adenocarcinoma is the most common histologic subtype of lung cancer. The aim of the present study was to assess the expression of hepatoma-derived growth factor (HDGF) and protein kinase C? (PRKCA) in lung adenocarcinoma (LADC), and to determine the association between the combined expression of these two proteins and clinicopathological characteristics of patients with LADC. The expression of HDGF and PRKCA mRNA was assessed by GEO database analysis, and HDGF and PRKCA protein levels were examined by immunohistochemistry using a tissue microarray. High HDGF and PRKCA expression was observed in LADC tissue compared to normal samples, and increased HDGF and PRKCA expression was associated with AJCC clinical stage, tumor classification, node classification, and lymph node metastasis. GEO database analysis revealed no significant differences between HDGF mRNA and PRKCA mRNA in LADC tissue. However, high PRKCA protein expression was associated with high HDGF protein expression, and patients with high HDGF and PRKCA expression exhibited poorer overall survival rates than patients with low expression levels of the two proteins. The results of the present study suggest that upregulation of both HDGF and PRKCA may be an unfavourable factor for lung adenocarcinoma progression.

SUBMITTER: Jiang H

PROVIDER: S-EPMC6781745 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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HDGF and PRKCA upregulation is associated with a poor prognosis in patients with lung adenocarcinoma.

Jiang Honghong H Fu Qiaofen Q Song Xin X Ge Chunlei C Li Ruilei R Li Zhen Z Zeng Baozhen B Li Chunyan C Wang Ying Y Xue Yuanbo Y Luo Rongcheng R Fang Weiyi W

Oncology letters 20190905 5

Lung adenocarcinoma is the most common histologic subtype of lung cancer. The aim of the present study was to assess the expression of hepatoma-derived growth factor (HDGF) and protein kinase Cα (PRKCA) in lung adenocarcinoma (LADC), and to determine the association between the combined expression of these two proteins and clinicopathological characteristics of patients with LADC. The expression of HDGF and PRKCA mRNA was assessed by GEO database analysis, and HDGF and PRKCA protein levels were ...[more]

PMID: 31612005

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Project description:BackgroundGlucosamine 6-phosphate N-acetyltransferase (GNPNAT1) is a key enzyme in the hexosamine biosynthetic pathway (HBP), which functions as promoting proliferation in some tumors, yet its potential biological function and mechanism in lung adenocarcinoma (LUAD) have not been explored.MethodsThe mRNA differential expression of GNPNAT1 in LUAD and normal tissues was analyzed using the Cancer Genome Atlas (TCGA) database and validated by real-time PCR. The clinical value of GNPNAT1 in LUAD was investigated based on the data from the TCGA database. Then, immunohistochemistry (IHC) of GNPNAT1 was applied to verify the expression and clinical significance in LUAD from the protein level. The relationship between GNPNAT1 and epigenetics was explored using the cBioPortal database, and the miRNAs regulating GNPNAT1 were found using the miRNA database. The association between GNPNAT1 expression and tumor-infiltrating immune cells in LUAD was observed through the Tumor IMmune Estimation Resource (TIMER). Finally, Gene set enrichment analysis (GSEA) was used to explore the biological signaling pathways involved in GNPNAT1 in LUAD.ResultsGNPNAT1 was upregulated in LUAD compared with normal tissues, which was verified through qRT-PCR in different cell lines (P < 0.05), and associated with patients' clinical stage, tumor size, and lymphatic metastasis status (all P < 0.01). Kaplan-Meier (KM) analysis suggested that patients with upregulated GNPNAT1 had a relatively poor prognosis (P < 0.0001). Furthermore, multivariate Cox regression analysis indicated that GNPNAT1 was an independent prognostic factor for LUAD (OS, TCGA dataset: HR = 1.028, 95% CI: 1.013-1.044, P < 0.001; OS, validation set: HR = 1.313, 95% CI: 1.130-1.526, P < 0.001). GNPNAT1 overexpression was correlated with DNA copy amplification (P < 0.0001), low DNA methylation (R = -0.52, P < 0.0001), and downregulation of hsa-miR-30d-3p (R = -0.17, P < 0.001). GNPNAT1 expression was linked to B cells (R = -0.304, P < 0.0001), CD4+T cells (R = -0.218, P < 0.0001), and dendritic cells (R = -0.137, P = 0.002). Eventually, GSEA showed that the signaling pathways of the cell cycle, ubiquitin-mediated proteolysis, mismatch repair and p53 were enriched in the GNPNAT1 overexpression group.ConclusionGNPNAT1 may be a potential prognostic biomarker and novel target for intervention in LUAD.

Project description:BackgroundProtein-coding gene LIM Domain Kinase 1 (LIMK1) is upregulated in various tumors and reported to promote tumor invasion and metastasis. However, the prognostic values of LIMK1 and correlation with immune infiltrates in lung adenocarcinoma are still not understood. Therefore, we evaluated the prognostic role of LIMK1 and its correlation with immune infiltrates in lung adenocarcinoma.MethodsTranscriptional expression profiles of LIMK1 between lung adenocarcinoma tissues and normal tissues were downloaded from the Cancer Genome Atlas (TCGA). The LIMK1 protein expression was assessed by the Clinical Proteomic Tumor Analysis Consortium (CPTAC) and the Human Protein Atlas. Receiver operating characteristic (ROC) curve was used to differentiate lung adenocarcinoma from adjacent normal tissues. Kaplan-Meier method was conducted to assess the effect of LIMK1 on survival. Protein-protein interaction (PPI) networks were constructed by the STRING. Functional enrichment analyses were performed using the "ClusterProfiler" package. The relationship between LIMK1 mRNA expression and immune infiltrates was determined by tumor immune estimation resource (TIMER) and tumor-immune system interaction database (TISIDB).ResultsThe expression of LIMK1 in lung adenocarcinoma tissues was significantly upregulated than those in adjacent normal tissues. Increased LIMK1 mRNA expression was associated with lymph node metastases and high TNM stage. The ROC curve analysis showed that with a cutoff level of 4.908, the accuracy, sensitivity, and specificity for LIMK1 differentiate lung adenocarcinoma from adjacent controls were 69.5, 93.2, and 71.9%, respectively. Kaplan-Meier survival analysis showed lung adenocarcinoma patients with high- LIMK1 had a worse prognosis than those with low- LIMK1 (43.1 vs. 55.1 months, P = 0.028). Correlation analysis indicated LIMK1 mRNA expression was correlated with tumor purity and immune infiltrates.ConclusionUpregulated LIMK1 is significantly correlated with poor survival and immune infiltrates in lung adenocarcinoma. Our study suggests that LIMK1 can be used as a biomarker of poor prognosis and potential immune therapy target in lung adenocarcinoma.

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HDGF and PRKCA upregulation is associated with a poor prognosis in patients with lung adenocarcinoma.

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HDGF and PRKCA upregulation is associated with a poor prognosis in patients with lung adenocarcinoma.

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