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1. Asbestosis

4. Integrated metabolomics and proteomics highlight altered nicotinamide and polyamine pathways in lung adenocarcinoma

5. Risk Factors Associated With Quantitative Evidence of Lung Emphysema and Fibrosis in an HIV-Infected Cohort

6. Serum phosphatidylethanolamine levels distinguish benign from malignant solitary pulmonary nodules and represent a potential diagnostic biomarker for lung cancer

7. Enrichment of the lung microbiome with oral taxa is associated with lung inflammation of a Th17 phenotype

8. Differential N‑Glycosylation Patterns in Lung Adenocarcinoma Tissue

10. Metabolomic markers of altered nucleotide metabolism in early stage adenocarcinoma.

14. Experimental Human Exposure to Air Pollutants Is Essential to Understand Adverse Health Effects

17. Figure S1 from Metabolomic Markers of Altered Nucleotide Metabolism in Early Stage Adenocarcinoma

18. Supplemental Table S4 from Metabolomic Markers of Altered Nucleotide Metabolism in Early Stage Adenocarcinoma

20. Supplementary File Table All (excel) from Lower Airway Dysbiosis Affects Lung Cancer Progression

21. Supplementary Table from Lower Airway Dysbiosis Affects Lung Cancer Progression

22. Supplementary Figure All from Lower Airway Dysbiosis Affects Lung Cancer Progression

23. Data from Lower Airway Dysbiosis Affects Lung Cancer Progression

24. Supplemental Material from Metabolomic Markers of Altered Nucleotide Metabolism in Early Stage Adenocarcinoma

26. Supplementary Table S4 from A Panel of Novel Detection and Prognostic Methylated DNA Markers in Primary Non–Small Cell Lung Cancer and Serum DNA

27. Data from A Gene Expression Classifier from Whole Blood Distinguishes Benign from Malignant Lung Nodules Detected by Low-Dose CT

28. Supplementary information from A Panel of Novel Detection and Prognostic Methylated DNA Markers in Primary Non–Small Cell Lung Cancer and Serum DNA

29. Supplementary File S1 from A Gene Expression Classifier from Whole Blood Distinguishes Benign from Malignant Lung Nodules Detected by Low-Dose CT

30. Figure S3 from A Gene Expression Classifier from Whole Blood Distinguishes Benign from Malignant Lung Nodules Detected by Low-Dose CT

31. Table S3 from A Gene Expression Classifier from Whole Blood Distinguishes Benign from Malignant Lung Nodules Detected by Low-Dose CT

33. Data from Optical Detection of Buccal Epithelial Nanoarchitectural Alterations in Patients Harboring Lung Cancer: Implications for Screening

34. Data from Gene Expression Profiles in Peripheral Blood Mononuclear Cells Can Distinguish Patients with Non–Small Cell Lung Cancer from Patients with Nonmalignant Lung Disease

35. Supplementary Figure 1 from Optical Detection of Buccal Epithelial Nanoarchitectural Alterations in Patients Harboring Lung Cancer: Implications for Screening

36. Supplementary Methods, Figure Legend from Optical Detection of Buccal Epithelial Nanoarchitectural Alterations in Patients Harboring Lung Cancer: Implications for Screening

41. Contributors

44. Fibrogenesis

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