ArticleOncoTargets and therapy2018
Bioinformatic analysis of prognostic value of ZW10 interacting protein in lung cancer.
Article in OncoTargets and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 27 citations in OpenAlex.
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- Identifying General Tumor and Specific Lung Cancer Biomarkers by Transcriptomic Analysis.Biology · 2022Article
- Integrative transcriptional characterization of cell cycle checkpoint genes promotes clinical management and precision medicine in bladder carcinoma.Frontiers in oncology · 2022Article
- Identification of candidate biomarkers correlated with poor prognosis of breast cancer based on bioinformatics analysis.Bioengineered · 2021Article
- [BUB1 gene is highly expressed in gastric cancer:analysis based on Oncomine database and bioinformatics].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020Article
- ZW10 Binding Factor (ZWINT), a Direct Target of Mir-204, Predicts Poor Survival and Promotes Proliferation in Breast Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- Common and distinct features of potentially predictive biomarkers in small cell lung carcinoma and large cell neuroendocrine carcinoma of the lung by systematic and integrated analysis.Molecular genetics & genomic medicine · 2020Article
- Clinical Implications of Chromosomal Instability (CIN) and Kinetochore Abnormalities in Breast Cancers.Molecular diagnosis & therapy · 2019Review
- Identification of candidate genes associated with the pathogenesis of small cell lung cancer via integrated bioinformatics analysis.Oncology letters · 2019Article
- Trans-omics biomarker model improves prognostic prediction accuracy for early-stage lung adenocarcinoma.Aging · 2019Article
- Identification of important invasion and proliferation related genes in adrenocortical carcinoma.Medical oncology (Northwood, London, England) · 2019Article
- Gene set enrichment analysis and meta-analysis to identify six key genes regulating and controlling the prognosis of esophageal squamous cell carcinoma.Journal of thoracic disease · 2018Article
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundZWINT is a crucial component of the mitotic checkpoint. However, its possible role in lung cancer is unclear. In this study, we determined its correlation with lung cancer.
methodsReal-time PCR and immunohistochemistry (IHC) were used to determine 40 collected clinical lung cancer samples. Chi-square test was used to examine possible correlations between ZWINT expression and clinicopathological factors. The prognostic significance of mRNA expression of ZWINT in lung cancer was evaluated using the Kaplan-Meier plotter. Univariate and multivariate Cox proportional hazards regression analysis were performed to determine whether ZWINT is an independent risk factor for overall survival (OS) and disease-free survival (DFS) of lung cancer patients. Additionally, STRING database was used to analyze protein-protein interactions.
resultsIn this study, we screened 13 GSE datasets and detected that ZWINT is highly expressed in multiple carcinomas including lung, melanoma, prostate, nasopharyngeal, gastric, pancreatic, colon, esophageal, ovarian, renal, breast and liver cancer. Real-time PCR and IHC results of collected clinical lung cancer samples confirmed that ZWINT is highly expressed in tumor tissues compared with adjacent non-tumor tissues. Additionally, high expression of ZWINT might predict poor OS and DFS in lung cancer patients. Moreover, disease stage and expression level of ZWINT were correlated with recurrence-free survival and OS in lung cancer. Analysis of protein-protein interaction based on STRING database gained 8 top genes which could interact with ZWINT, including
conclusionZWINT is aberrantly highly expressed in lung tumor tissues and might be involved in the pathogenesis of lung cancer.
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