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Overexpressed BSG related to the progression of lung adenocarcinoma with high-throughput data-mining, immunohistochemistry, in vitro validation and in silico investigation.

ABSTRACT: PURPOSE:Lung adenocarcinoma (LUAD) of non-small cell lung cancer (NSCLC) is a highly prevalent cancer with high mortality. The gene basigin (BSG) is strongly expressed in certain tumors. This study investigated the expression level of BSG in LUAD and its role in the poor prognosis of LUAD. METHODS:The mRNA expression of BSG in LUAD was from GEO, Oncomine and TCGA database. Prognostic data were provided by SurvExpress. The expression of BSG protein was detected by immunohistochemistry (IHC). Cell function experiments of viability, proliferation and apoptosis assays were performed in A549. Clustering analysis of BSG co-expressed genes was generated by Gene Ontology (GO) Enrichment, KEGG pathway and protein-protein interaction (PPI) network. RESULTS:BSG mRNA level was significantly over-expressed in LUAD (pooled SMD = 0.564, 0.448-0.681, P<0.001). The analysis in SurvExpress revealed that high expression of BSG indicated significantly poor prognosis (pooled HR = 1.20, 1.10-1.30, P<0.0001). IHC assay also showed that BSG protein expression was significantly up-regulated in LUAD (P<0.001), and positive BSG expression was notably associated with higher pathology grade (P = 0.041) and lymphatic metastasis (P = 0.014). Moreover, BSG can enhance the viability and proliferation ability (both P<0.001) and weaken cell apoptosis (P<0.001) in A549. The most enriched GO terms in the co-expressed genes of BSG were translation related enrichment. The KEGG pathway showed that these genes were markedly involved in Ribosome pathways. CONCLUSION:Up-regulated BSG in LUAD is related to advanced progression and poor prognosis by influencing cell viability, proliferation and apoptosis. BSG could be a potential biomarker for the targeted therapy of LUAD.

SUBMITTER: Huang WT

PROVIDER: S-EPMC6731406 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Overexpressed BSG related to the progression of lung adenocarcinoma with high-throughput data-mining, immunohistochemistry, <i>in vitro</i> validation and <i>in silico</i> investigation.

Huang Wen-Ting WT Yang Xia X He Rong-Quan RQ Ma Jie J Hu Xiao-Hua XH Mo Wei-Jia WJ Chen Gang G

American journal of translational research 20190815 8

<h4>Purpose</h4>Lung adenocarcinoma (LUAD) of non-small cell lung cancer (NSCLC) is a highly prevalent cancer with high mortality. The gene basigin (BSG) is strongly expressed in certain tumors. This study investigated the expression level of BSG in LUAD and its role in the poor prognosis of LUAD.<h4>Methods</h4>The mRNA expression of BSG in LUAD was from GEO, Oncomine and TCGA database. Prognostic data were provided by SurvExpress. The expression of BSG protein was detected by immunohistochemis ...[more]

PMID: 31497203

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Project description:BackgroundIdentifying lymph node metastasis areas during surgery for early invasive lung adenocarcinoma remains challenging. The aim of this study was to develop a nomogram mathematical model before the end of surgery for predicting lymph node metastasis in patients with early invasive lung adenocarcinoma.MethodsIn this study, we included patients with invasive lung adenocarcinoma measuring ≤ 2 cm who underwent pulmonary resection with definite pathology at Qilu Hospital of Shandong University from January 2020 to January 2022. Preoperative biomarker results, clinical features, and computed tomography characteristics were collected. The enrolled patients were randomized into a training cohort and a validation cohort in a 7:3 ratio. The training cohort was used to construct the predictive model, while the validation cohort was used to test the model independently. Univariate and multivariate logistic regression analyses were performed to identify independent risk factors. The prediction model and nomogram were established based on the independent risk factors. Recipient operating characteristic (ROC) curves were used to assess the discrimination ability of the model. Calibration capability was assessed using the Hosmer-Lemeshow test and calibration curves. The clinical utility of the nomogram was assessed using decision curve analysis (DCA).ResultsThe overall incidence of lymph node metastasis was 13.23% (61/461). Six indicators were finally determined to be independently associated with lymph node metastasis. These six indicators were: age (P < 0.001), serum amyloid (SA) (P = 0.008); carcinoma antigen 125 (CA125) (P = 0. 042); mucus composition (P = 0.003); novel aspartic proteinase of the pepsin family A (Napsin A) (P = 0.007); and cytokeratin 5/6 (CK5/6) (P = 0.042). The area under the ROC curve (AUC) was 0.843 (95% CI: 0.779-0.908) in the training cohort and 0.838 (95% CI: 0.748-0.927) in the validation cohort. the P-value of the Hosmer-Lemeshow test was 0.0613 in the training cohort and 0.8628 in the validation cohort. the bias of the training cohort corrected C-index was 0.8444 and the bias-corrected C-index for the validation cohort was 0.8375. demonstrating that the prediction model has good discriminative power and good calibration.ConclusionsThe column line graphs created showed excellent discrimination and calibration to predict lymph node status in patients with ≤ 2 cm invasive lung adenocarcinoma. In addition, the predictive model has predictive potential before the end of surgery and can inform clinical decision making.

Dataset Information

Overexpressed BSG related to the progression of lung adenocarcinoma with high-throughput data-mining, immunohistochemistry, in vitro validation and in silico investigation.

Publications

Overexpressed BSG related to the progression of lung adenocarcinoma with high-throughput data-mining, immunohistochemistry, <i>in vitro</i> validation and <i>in silico</i> investigation.

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