Association between asthma, chronic bronchitis, emphysema, chronic obstructive pulmonary disease, and lung cancer in the US population

Rahman, Humairat H; Niemann, Danielle; Munson-McGee, Stuart H.

doi:10.1007/s11356-022-23631-3

Cited by 15 publications

(6 citation statements)

References 26 publications

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“…Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality (1). Emphysema, a major COPD phenotype, has been independently associated with an increased risk for cardiovascular disease, lung cancer, and mortality (2)(3)(4). While some progress has been made in treating COPD, much work remains in identifying therapeutic targets specifically for emphysema (5).…”

Section: Introductionmentioning

confidence: 99%

Blood-Based Transcriptomic and Proteomic Biomarkers of Emphysema

Suryadevara

Gregory

et al. 2022

Preprint

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Rationale: Emphysema is a key component of COPD with important prognostic implications. Identifying blood-based biomarkers of emphysema will facilitate early diagnosis and possible development of targeted therapies. Objectives: Discover blood transcriptomic and proteomic biomarkers for chest computed tomography-quantified emphysema in smokers and develop predictive biomarker panels. Methods: Emphysema blood biomarker discovery was performed using differential gene expression, alternative splicing, and protein association analyses in a training set of 2,370 COPDGene participants with available whole blood RNA sequencing, plasma SomaScan proteomics, and clinical data. Validation was conducted in a testing set of 1,016 COPDGene subjects. Since body mass index (BMI) and emphysema often co-occur, we performed a mediation analysis to quantify the effect of BMI on gene and protein associations with emphysema. Predictive models were also developed using elastic net to predict quantitative emphysema from cell blood count, RNA sequencing, and proteomic biomarkers. Model accuracy was assessed by area under the receiver-operator-characteristic-curves (AUROC) for subjects stratified into tertiles of emphysema severity. Measurements and Main Results: 4,913 genes, 1,478 isoforms, 386 exons, and 881 proteins were significantly associated with emphysema (FDR 10%). 75% and 77% of genes and proteins, respectively, were mediated by BMI. The significantly enriched biological pathways were involved in inflammation and cell differentiation, differing between the most and least BMI-mediated genes. The cell blood count plus protein model achieved the highest performance with an AUROC of 0.89. Conclusions: Blood transcriptome and proteome-wide analyses reveal key biological pathways of emphysema and enhance the prediction of emphysema.

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Section: Introductionmentioning

confidence: 99%

Blood-Based Transcriptomic and Proteomic Biomarkers of Emphysema

Suryadevara

Gregory

et al. 2022

Preprint

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“…It has been observed that high protein concentration in the everyday nutrition reduces COPD exacerbations [13]. Moreover; the nutritional status of lung cancer patients has been closely associated with treatment efficiency and survival [14][15][16][17][18]. In our current study we evaluated the chronic obstructive disease of the patients along with their cancer treatment and their nutritional status and metabolic rate, in an effort to identify how these three parameters interact.…”

Section: Ivyspringmentioning

confidence: 99%

Chronic Obstructive Pulmonary Disease and Non-Small Cell Lung Cancer an association

Zarogoulidis,

Oikonomidou,

Petridis

et al. 2024

J. Cancer

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Objectives: Lung cancer is known to be associated with chronic obstructive pulmonary disease. Moreover; nutritional status is associated with chronic obstructive disease treatment and lung cancer. Our aim was to evaluate the interaction of the COPD status and treatment of non-small cell lung cancer. Methods: Eighty-two patients were enrolled in our multicenter study. Chronic obstructive disease stage, spirometry and treatment was recorded along with the treatment and Body Mass Index (BMI), Mediterranian Diet Score, Pack Years, Basic Metabolsim (RMR) (kcal/day), VO₂ (ml/min), Ve (lt/min) and Physical Activity. The statistical analysis was performed using the JMP 14.3 (SAS Inc 2018) software. Results: The drug pairs showed a steady and unchanged by time health condition for 48 patients. Overall, 31 patients were recorded with worse COPD health conditions. The one-way ANOVA clearly indicated that chemotherapy induced the best FEV 1 -difference conditions with a positive effect of 8.56 mean FEV volume, the combined treatment simply did not have an effect (-0.9), while immunotherapy and patients receiving radiation decreased their FEV 1 volume down to -4.23 and -5.15 mean values. Conclusions: Patients receiving chemotherapy alone had their chronic obstructive disease improved with less drugs and exacerbations, while patients receiving immunotherapy had their chronic obstructive disease stable, while all other treatment combinations worsened the patients chronic obstructive disease. Nutritional status did not affect the chronic obstructive disease of these patients in any way.

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“…The attacks usually occur in the early morning, and most patients resolve them independently or with treatment. Studies have shown that asthma has a potential risk of progression to lung cancer 21 and that the lipid metabolism cellular pathway plays a vital role in this process 22,23 …”

Section: Introductionmentioning

confidence: 99%

“…19,20 The attacks usually occur in the early morning, and most patients resolve them independently or with treatment. Studies have shown that asthma has a potential risk of progression to lung cancer 21 and that the lipid metabolism cellular pathway plays a vital role in this process. 22,23 In the era of precision medicine, clinical predictive models are becoming integral to medical diagnosis, treatment decision-making, prognosis management, and public health resource allocation.…”

mentioning

confidence: 99%

Tumor markers for lipid metabolism‐related genes: Based on small cell lung cancer and bronchial asthma dual analysis

Wang,

Gao,

Wang

et al. 2024

Environmental Toxicology

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Numerous studies have elucidated the intricate relationship between bronchial asthma and small cell lung cancer (SCLC), as well as the role lipid metabolism genes play in transitioning from bronchial asthma to SCLC. Despite this, the predictive power of single gene biomarkers remains insufficient and necessitates the development of more accurate prognostic models. In our study, we downloaded and preprocessed scRNA‐seq of SCLC from the GEO database GSE164404 and severe asthma scRNA‐seq from GSE145013 using the Seurat package. Using the MSigDB database and geneCard database, we selected lipid metabolism‐related genes and performed scRNA‐seq data analysis from the gene expression GEO database, aiming to uncover potential links between immune signaling pathways in bronchial asthma and SCLC. Our investigations yielded differentially expressed genes based on the scRNA‐seq dataset related to lipid metabolism. We executed differential gene analysis, gene ontology, and Kyoto Encyclopedia of Genes and Genomes analyses. In‐depth GSEA pathway activation analysis, crucial target gene predictions via protein–protein interactions, and key cluster gene evaluations for differential and diagnostic ROC values correlation analysis confirmed that key cluster genes are significant predictors for the progression of bronchial asthma to SCLC. To validate our findings, we performed wet laboratory experiments using real‐time quantitative PCR to assess the expression of these relevant genes in SCLC cell lines. In conclusion, this research proposes a novel lipid metabolism‐related gene marker that can offer comprehensive insights into the pathogenesis of bronchial asthma leading to SCLC. Although this study does not directly focus on senescence‐associated molecular alterations, our findings in the lipid metabolism genes associated with inflammation and cancer progression offer valuable insights for further research targeting senescence‐related changes in treating inflammatory diseases.

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Association between asthma, chronic bronchitis, emphysema, chronic obstructive pulmonary disease, and lung cancer in the US population

Cited by 15 publications

References 26 publications

Blood-Based Transcriptomic and Proteomic Biomarkers of Emphysema

Blood-Based Transcriptomic and Proteomic Biomarkers of Emphysema

Chronic Obstructive Pulmonary Disease and Non-Small Cell Lung Cancer an association

Tumor markers for lipid metabolism‐related genes: Based on small cell lung cancer and bronchial asthma dual analysis

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