ArticleFrontiers in oncology2021
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Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
20 citing papers in PubMed, 29 citations in OpenAlex.
- Unveiling DEFB1 as a novel driver and promising therapeutic target in lung adenocarcinoma.Cell death & disease · 2026Article
- Functional roles of Keratin 6A in disease pathogenesis across cancer and skin disorders.Experimental biology and medicine (Maywood, N.J.) · 2026Review
- Comprehensive pan-cancer analysis of KRT6A as a prognostic and immune biomarker.Scientific reports · 2025Article
- Identification of prognostic genes associated with phase separation in lung adenocarcinoma and construction of prognostic models.Scientific reports · 2025Article
- Integrative analysis of KEAP1/NFE2L2 alterations across 3600+ tumors reveals an NRF2 expression signature as a prognostic biomarker in cancer.NPJ precision oncology · 2025Article
- Article
- Srxn1 Overexpression Protect Against Cardiac Remodelling by Inhibiting Oxidative Stress and Inflammation.Journal of cellular and molecular medicine · 2025Article
- Liquid-Liquid Phase Separation in the Prognosis of Lung Adenocarcinoma: An Integrated Analysis.Current cancer drug targets · 2025Article
- Article
- Machine learning integration with multi-omics data constructs a robust prognostic model and identifies PTGES3 as a therapeutic target for precision oncology in lung adenocarcinoma.Frontiers in immunology · 2025Article
- Single-Cell Transcriptomic Profiling Reveals KRAS/TP53-Driven Neutrophil Reprogramming in Luad: A Multi-Gene Prognostic Model and Therapeutic Targeting of RHOV.Oncology research · 2025Article
- Unraveling the immune mechanisms and therapeutic targets in lung adenosquamous transformation.Frontiers in immunology · 2025Review
- 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
- Construction of inflammatory associated risk gene prognostic model of NSCLC and its correlation with chemotherapy sensitivity.Annals of medicine · 2023Article
- Article
- Molecular Characterization and Prognosis of Lactate-Related Genes in Lung Adenocarcinoma.Current oncology (Toronto, Ont.) · 2023Article
- A Pilot Analysis of Circulating cfRNA Transcripts for the Detection of Lung Cancer.Diagnostics (Basel, Switzerland) · 2022Article
- A Four-Gene Prognostic Signature Based on the TEAD4 Differential Expression Predicts Overall Survival and Immune Microenvironment Estimation in Lung Adenocarcinoma.Frontiers in pharmacology · 2022Article
- Identification of molecular subtypes, risk signature, and immune landscape mediated by necroptosis-related genes in non-small cell lung cancer.Frontiers in oncology · 2022Article
- Chromatin Separation Regulators Predict the Prognosis and Immune Microenvironment Estimation in Lung Adenocarcinoma.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLung cancer is the leading cause of cancer-related mortality worldwide. Although cigarette smoking is an established risk factor for lung cancer, few reliable smoking-related biomarkers for non-small-cell lung cancer (NSCLC) are available. An improved understanding of these biomarkers would further the development of new biomarker-targeted therapies and lead to improvements in overall patient survival.
methodsWe performed bioinformatic analysis to screened potential target genes, then quantitative PCR, western, siRNA, CCK-8, flow cytometry, tumorigenicity assays in nude mice were performed to validated the function.
resultsIn this study, we identified 83 smoking-related genes (SRGs) based on an integration analysis of two Gene Expression Omnibus (GEO) datasets, and 27 hub SRGs with potential carcinogenic effects by analyzing a dataset of smokers with NSCLC in The Cancer Genome Atlas (TCGA) database. A survival analysis revealed three genes with potential prognostic value, namely SRXN1, KRT6A and JAKMIP3. A univariate Cox analysis revealed significant associations of elevated SRXN1 and KRT6A expression with prognosis. A receiver operating characteristic (ROC) curve analysis indicated the high diagnostic value of SRXN1 and KRT6A for smoking and cancer. Quantitative PCR and western blotting validated the increased expression of SRXN1 and KRT6A mRNA and protein, respectively, in lung cancer cell lines and NSCLC tissues. In patients with NSCLC, SRXN1 and KRT6A expression was associated with the tumor-node-metastasis (TNM) stage, presence of metastasis, history of smoking and daily smoking consumption. Furthermore, inhibition of SRXN1 or KRT6A suppressed viability and enhanced apoptosis in the A549 human lung carcinoma cell line. Tumorigenicity assays in nude mice confirmed that the siRNA-mediated downregulation of SRXN1 and KRT6A expression inhibited tumor growth
conclusionsIn summary, SRXN1 and KRT6A act as oncogenes in NSCLC and might be potential biomarkers of smoking exposure and the early diagnosis and prognosis of NSCLC in smokers, which is vital for lung cancer therapy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.