ArticleJournal of personalized medicine2022
Novel Potential Therapeutic Targets of PTPN Families for Lung Cancer.
Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Article
- The inhibitory effect and targets of CRM197 on tumor growth in arsenic-transformed cells and lung cancer cells.Scientific reports · 2025Article
- Multi-omic analyses reveal PTPN6's impact on tumor immunity across various cancers.Scientific reports · 2025Article
- Comprehensive multimodal and multiomic profiling reveals epigenetic and transcriptional reprogramming in lung tumors.Communications biology · 2025Article
- Structural analysis of the FERM domain of human protein tyrosine phosphatase non-receptor type 21.Acta crystallographica. Section F, Structural biology communications · 2024Article
- Multiple Comprehensive Analyses Identify Lysine Demethylase KDM as a Potential Therapeutic Target for Pancreatic Cancer.International journal of medical sciences · 2024Article
- Penetrating Exploration of Prognostic Correlations of the FKBP Gene Family with Lung Adenocarcinoma.Journal of personalized medicine · 2022Article
Corrections and comments
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Authors and funding
11 authors at 6 institutions in 4 countries.
Funding
Abstract
Despite the treatment of lung adenocarcinoma (LUAD) having partially improved in recent years, LUAD patients still have poor prognosis rates. Therefore, it is especially important to explore effective biomarkers and exploit novel therapeutic developments. High-throughput technologies are widely used as systematic approaches to explore differences in expressions of thousands of genes for both biological and genomic systems. Recently, using big data analyses in biomedicine research by integrating several high-throughput databases and tools, including The Cancer Genome Atlas (TCGA), cBioportal, Oncomine, and Kaplan-Meier plotter, is an important strategy to identify novel biomarkers for cancer therapy. Here, we used two different comprehensive bioinformatics analysis and revealed protein tyrosine phosphatase non-receptor type (PTPN) family genes, especially PTPN1 and PTPN22, were downregulated in lung cancer tissue in comparison with normal samples. The survival curves indicated that LUAD patients with high transcription levels of PTPN5 were significantly associated with a good prognosis. Meanwhile, Gene Ontology (GO) and MetaCore analyses indicated that co-expression of the PTPN1, PTPN5, and PTPN21 genes was significantly enriched in cancer development-related pathways, including GTPase activity, regulation of small GTPase-mediated signal transduction, response to mechanical stimuli, vasculogenesis, organ morphogenesis, regulation of stress fiber assembly, mitogen-activated protein kinase (MAPK) cascade, cell migration, and angiogenesis. Collectively, this study revealed that PTPN family members are both significant prognostic biomarkers for lung cancer progression and promising clinical therapeutic targets, which provide new targets for treating LUAD patients.
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