ArticleOncotarget2017
Eight potential biomarkers for distinguishing between lung adenocarcinoma and squamous cell carcinoma.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed, 73 citations in OpenAlex.
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- SFTPB Expression Predicts Favorable Survival in Lung Adenocarcinoma but Poor Prognosis in Lung Squamous Cell Carcinoma.Medicina (Kaunas, Lithuania) · 2026Article
- Functional roles of Keratin 6A in disease pathogenesis across cancer and skin disorders.Experimental biology and medicine (Maywood, N.J.) · 2026Review
- Unraveling the molecular-pathological characteristics and cellular complexity of the tumor immune microenvironment in metastatic non-small cell lung cancer.Cell communication and signaling : CCS · 2025Review
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- Liquid-Liquid Phase Separation in the Prognosis of Lung Adenocarcinoma: An Integrated Analysis.Current cancer drug targets · 2025Article
- Assessment of Concentration KRT6 Proteins in Tumor and Matching Surgical Margin from Patients with Head and Neck Squamous Cell Carcinoma.International journal of molecular sciences · 2024Article
- Single-cell and spatial transcriptomics analysis of non-small cell lung cancer.Nature communications · 2024Article
- Significance ofPeerJ · 2024Article
- Patterns of Carbon-Bound Exogenous Compounds Impact Disease Pathophysiology in Lung Cancer Subtypes in Different Ways.ACS nano · 2023Article
- Candidate pathway analysis of surfactant proteins identifies CTSH and SFTA2 that influences lung cancer risk.Human molecular genetics · 2023Article
- Comprehensive analysis of the prognosis and immune infiltration of TMC family members in renal clear cell carcinoma.Scientific reports · 2023Article
- Regulation of early diagnosis and prognostic markers of lung adenocarcinoma in immunity and hypoxia.Scientific reports · 2023Article
- Construction of miRNA-mRNA networks for the identification of lung cancer biomarkers in liquid biopsies.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023Article
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- Identification of disulfidptosis-related subgroups and prognostic signatures in lung adenocarcinoma using machine learning and experimental validation.Frontiers in immunology · 2023Article
- Diacetyl inhalation impairs airway epithelial repair in mice infected with influenza A virus.American journal of physiology. Lung cellular and molecular physiology · 2022Article
- Integrative analysis of non-small cell lung cancer patient-derived xenografts identifies distinct proteotypes associated with patient outcomes.Nature communications · 2022Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung adenocarcinoma (LADC) and squamous cell carcinoma (LSCC) are the most common non-small cell lung cancer histological phenotypes. Accurate diagnosis distinguishing between these two lung cancer types has clinical significance. For this study, we analyzed four Gene Expression Omnibus (GEO) datasets (GSE28571, GSE37745, GSE43580, and GSE50081). We then imported the datasets into the Gene-Cloud of Biotechnology Information online platform to identify genes differentially expressed in LADC and LSCC. We identified DSG3 (desmoglein 3), KRT5 (keratin 5), KRT6A (keratin 6A), KRT6B (keratin 6B), NKX2-1 (NK2 homeobox 1), SFTA2 (surfactant associated 2), SFTA3 (surfactant associated 3), and TMC5 (transmembrane channel-like 5) as potential biomarkers for distinguishing between LADC and LSCC. Receiver operating characteristic curve analysis suggested that KRT5 had the highest diagnostic value for discriminating between these two cancer types. Using the PrognoScan online survival analysis tool and the Kaplan-Meier Plotter, we found that high KRT6A or KRT6B levels, or low NKX2-1, SFTA3, or TMC5 levels correlated with unfavorable prognoses in LADC patients. Further studies will be needed to verify our findings in additional patient samples, and to elucidate the mechanisms of action of these potential biomarkers in non-small cell lung cancer.
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