ArticleInternational journal of molecular sciences2022
Genomic Analysis of Waterpipe Smoke-Induced Lung Tumor Autophagy and Plasticity.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 6 citations in OpenAlex.
- Refining Tumor Mutational Burden as a Predictive Biomarker for Pembrolizumab: A Real-World Analysis in Japanese Patients.Cancer science · 2026Article
- Waterpipe smoke condensate activates autophagy in non-tumorigenic lung epithelial cells: Implications for inflammation and stemness.PloS one · 2026Article
- Waterpipe smoke condensate activates the oncogenes and promotes epithelial-mesenchymal transition to cause oral cancer.Odontology · 2026Article
- The impact of chronic exposure to cigarette and waterpipe smoke extracts on telomeres, telomerase, and cancer progression.Frontiers in genetics · 2026Article
- Autophagy and machine learning: Unanswered questions.Biochimica et biophysica acta. Molecular basis of disease · 2024Review
- Artificial intelligence in lung cancer: current applications, future perspectives, and challenges.Frontiers in oncology · 2024Review
- Chronic hypoxia is associated with transcriptomic reprogramming and increased genomic instability in cancer cells.Frontiers in cell and developmental biology · 2023Article
- The Metastatic Process through the Eyes of Epigenetic Regulation: A Promising Horizon for Cancer Therapy.International journal of molecular sciences · 2022Article
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Authors and funding
13 authors at 5 institutions in 4 countries.
Funding
Abstract
The role of autophagy in lung cancer cells exposed to waterpipe smoke (WPS) is not known. Because of the important role of autophagy in tumor resistance and progression, we investigated its relationship with WP smoking. We first showed that WPS activated autophagy, as reflected by LC3 processing, in lung cancer cell lines. The autophagy response in smokers with lung adenocarcinoma, as compared to non-smokers with lung adenocarcinoma, was investigated further using the TCGA lung adenocarcinoma bulk RNA-seq dataset with the available patient metadata on smoking status. The results, based on a machine learning classification model using Random Forest, indicate that smokers have an increase in autophagy-activating genes. Comparative analysis of lung adenocarcinoma molecular signatures in affected patients with a long-term active exposure to smoke compared to non-smoker patients indicates a higher tumor mutational burden, a higher CD8+ T-cell level and a lower dysfunction level in smokers. While the expression of the checkpoint genes tested-PD-1, PD-L1, PD-L2 and CTLA-4-remains unchanged between smokers and non-smokers, B7-1, B7-2, IDO1 and CD200R1 were found to be higher in non-smokers than smokers. Because multiple factors in the tumor microenvironment dictate the success of immunotherapy, in addition to the expression of immune checkpoint genes, our analysis explains why patients who are smokers with lung adenocarcinoma respond better to immunotherapy, even though there are no relative differences in immune checkpoint genes in the two groups. Therefore, targeting autophagy in lung adenocarcinoma patients, in combination with checkpoint inhibitor-targeted therapies or chemotherapy, should be considered in smoker patients with lung adenocarcinoma.
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