Chronic obstructive pulmonary disease (COPD) and lung cancer: common pathways for pathogenesis

Technical approaches for breath aldehyde biomarker detection and disease diagnosis: A review

Exhaled breath analysis holds promise as a non-invasive approach for disease diagnosis. Aldehydes represent a class of volatile organic compounds with diagnostic potential as breath biomarkers for cancers and other conditions. However, aldehydes exist at low concentrations in breath and have stability challenges. This review summarizes recent studies on breath aldehyde analysis, focusing on sample collection methodology, analytical techniques implemented, and key findings regarding aldehyde alterations in disease. Breath collection methods examined include commercial bags, end-tidal sampling devices, condensates, and direct analysis. Analytical techniques evaluated gas chromatography, mass spectrometry, and microextraction approaches. Emerging microextraction and sensing technologies are advancing real-time, non-invasive aldehyde detection. Overall, breath aldehyde biomarkers offer immense potential for diagnosis and screening, but continued research is needed to address current limitations. This review provides insights to guide future efforts focused on exhaled aldehyde analysis and disease detection.

Novel association between graft rejection and post-transplant malignancy in solid organ transplantation

BACKGROUND

Advancements in immunosuppressive therapies have improved graft survival by enhancing graft tolerance and preventing organ rejection. However, the risk of malignancy associated with prolonged immunosuppression remains a concern, as it can adversely affect recipients’ quality of life and survival. While the link between immunosuppression and increased cancer risk is well-documented, the specific interactions between graft rejection and post-transplant malignancy (PTM) remain poorly understood. Addressing this knowledge gap is crucial for devising immunosuppressive strategies that balance rejection prevention with cancer risk reduction.

AIM

To investigate whether immunosuppression in PTM reduces rejection risk, while immune activation during rejection protects against malignancy.

METHODS

We analyzed data from the United Network for Organ Sharing’s Organ Procurement and Transplantation Network database (1987–2023) on adult, first-time, single-organ transplant recipients with no prior history of malignancy (in donors or recipients). Landmark analyses at 1, 2, 3, 5, 10, 15, and 20 years post-transplant, Kaplan–Meier analyses, and time-dependent Cox proportional hazards regression models, each incorporating the temporal dimension of outcomes, assessed the association between rejection-induced graft failure (RGF) and PTM. Multivariate models were adjusted for clinical and immunological factors, including immunosuppression regimens.

RESULTS

The cohort included 579905 recipients (kidney: 386878; liver: 108390; heart: 45046; lung: 37643; pancreas: 1948) with a mean follow-up of 7.3 years and a median age of 50.6 ± 13.2 years. RGF was associated with a reduction in PTM risk across all time points [hazard ratio (HR) = 0.07-0.20, P < 0.001], even after excluding mortality cases. Kidney transplant recipients exhibited the most pronounced reduction (HR = 0.22, P < 0.001). Conversely, among recipients with PTM, RGF risk decreased across all time points up to 15 years after excluding mortality cases (HR = 0.49–0.80, P < 0.001). This risk reduction was observed in kidney, liver, heart, and lung transplants (HRs = 0.90, 0.21, 0.21, and 0.18, respectively; P < 0.001) but not in pancreas transplants.

CONCLUSION

RGF reduces PTM risk, particularly in kidney transplants, while PTM decreases RGF risk in kidney, liver, heart, and lung transplants.

Reagentless aptamer based on the ultrasensitive and fast response electrochemical capacitive biosensor for EGFR detection in non-small cell lung cancer

Non-small cell lung cancer (NSCLC) is still the leading cause of lung cancer-related deaths globally, affecting both men and women. Mutations in the epidermal growth factor receptor (EGFR) are most common among patients with NSCLC, especially Asian patients. Here, we introduce an electrochemical capacitive biosensor for the early detection of NSCLC through specific identification of EGFR. A novel and reagentless EGFR aptamer was designed using the systematic evolution of ligands by exponential enrichment (SELEX) process and immobilized on a chromium (Cr)/gold (Au) electrode, with capacitance signals used for detection. The biosensor employs an interdigitated capacitor electrode (IDCE) functionalized with 3-mercaptopropionic acid (MPA), enhancing EGFR aptamer immobilization, while 6-mercapto-1-hexanol (MCH) was used for effective blocking to ensure robust and high-affinity binding to target analytes. The IDCE capacitive biosensor achieved real-time rapid detection within 3 s and demonstrated a detection limit of 0.005 ng/mL for the EGFR peptide, with a dynamic range of 10-11-10-7 ng/mL. Furthermore, the specific EGFR aptamer-immobilized IDCE biosensor was found to be regenerable and reusable up to five times using deionized water. This biosensor offers a rapid, label-free, and highly selective approach for early-stage EGFR detection in NSCLC. Its portability and scalability make it a promising tool for point-of-care diagnostic applications in biomedicine, potentially advancing the field of cancer diagnostics.

Joint Analysis of Diet Quality, Inflammatory Potential of Diet and Ultra-Processed Food Exposure in Relation to Chronic Respiratory Diseases and Lung Cancer Mortality

OBJECTIVE

Examined the combined effects of ultra-processed food (UPF), Dietary Inflammatory Index (DII), Healthy Eating Index-2015 (HEI-2015), and Dietary Antioxidant Index (DAI) on mortality from chronic respiratory diseases (CRDs), chronic obstructive pulmonary disease (COPD), and lung cancer.

METHODS

A prospective analysis included 96,607 participants (53% women). Diet intake was measured using food frequency questionnaire. Associations of dietary exposures with CRD, COPD, and lung cancer mortality were examined using Cox regression.

RESULTS

During 1,459,299 person-years of follow-up, there were 30,623 all-cause deaths, including 5,218 from CRDs, 1,613 from COPD, and 2,127 from lung cancer. A 10% increase in UPF intake (% grams/day) showed a non-linear association with higher CRD and COPD mortality but not lung cancer. Stronger curvature was observed between DII and mortality from all three conditions. However, HEI-2015 was inversely associated with CRD, COPD, and lung cancer mortality, while DAI showed an inverse relationship with CRD and COPD mortality but not lung cancer. Adjusting for DII attenuated UPF-related mortality risks by 39% (CRD), 11% (COPD), and 18% (lung cancer), while HEI-2015 adjustment showed less attenuation. Additionally, the DII-mortality associations were less attenuated after adjusting for UPF intake but were offset after adjusting for HEI-2015. However, the HEI-2015-mortality associations remained unaffected when adjusted for UPF, DII, or DAI.

CONCLUSIONS

The findings highlight that the UPF-mortality relationship is potentially explained by DII and, to a lesser extent, by HEI-2015. Adhering to HEI-2015 guidelines can counterbalance the effects of DII on respiratory health but may not offset the effects associated with UPF.

The Impact of Chronic Obstructive Pulmonary Disease on Immune Checkpoint Inhibitor Effectiveness in Non-small Cell Lung Cancer: A Population Health Study

SUMMARY

Chronic obstructive pulmonary disease (COPD) and lung cancer are associated diseases. COPD confers a negative prognosis in NSCLC, but the clinical benefit of immune checkpoint inhibitors (ICI) in this population is unclear. A population-level analysis of patients in Ontario, Canada was performed through the ICES (formerly known as the Institute for Clinical Evaluative Sciences) administrative database. Patients with NSCLC and treated with PD-1/PD-L1 immune checkpoint inhibitors between Jan 2010 and Dec 2020 were included. Overall survival (OS) was estimated using the Kaplan-Meier method and compared using Cox proportional hazards regression. Hospitalizations and duration of treatment were compared secondarily using logistic and linear regression. A total of 4306 patients received ICI and 54% of patients had a diagnosis of COPD. Median (95% CI) OS was 9.2 (8.5-9.9) months for patients with COPD and 8.2 (7.3-8.8) for patients without COPD, which was not significantly different (adjusted hazard ratio (aHR) = 0.94, 95% CI, 0.87-1.01, P = 0.092). Similarly, the median time on treatment was not different (85 vs. 99 days, multivariable P = 0.10). However, the 90-day hospitalization rate was decreased in the COPD population (multivariable odds ratio 0.76, 95% CI 0.62-0.94, P = 0.011). Among patients with NSCLC receiving ICI, our data suggest that a diagnosis of COPD does not result in shortened treatment, poorer survival, or higher rates of hospitalization. COPD itself should not be considered a contraindication to ICI.

Effect of FLASH proton therapy on primary bronchial epithelial cell organoids

Purpose

The effects of conventional (CONV) and FLASH proton therapy on primary bronchial epithelial cell (PBEC) organoids from individuals with chronic obstructive pulmonary disease (COPD) were investigated. The primary objective was to compare the effect of FLASH and CONV on COPD PBEC organoids with a focus on DNA damage, organoid formation, and gene expression.

Methods

PBECs were obtained from six COPD donors, cultured as three-dimensional (3D) organoids and exposed to 2 and 8 Gy CONV and FLASH proton radiation at the Holland Proton Therapy Center. DNA damage was assessed by γH2AX staining. Organoid formation capacity was assessed by counting the organoids formed after reseeding irradiated cells at 24 h and 7 days. Bulk RNA sequencing (RNAseq) and qPCR analyses were performed to identify pathways and differences in the radiation response.

Results

γH2AX foci analysis showed a significant dose-dependent increase in DNA damage at 1 h for both CONV and FLASH treatments, without differences between the two modalities. Organoid formation assays revealed a dose-dependent decrease in organoid formation capacity at 24 h for both treatments. At 7 days, 2 Gy FLASH-treated samples showed significantly reduced organoid formation compared to 2 Gy CONV (p = 0.008). RNAseq identified CONV and FLASH-induced changes in expression of DNA-damage response and apoptosis pathway genes. A dose-dependent upregulation of MDM2, GDF15, DDB2, BAX, P21, AEN and a decrease in MKi67 expression was confirmed by qPCR analysis.

Conclusion

No significant differences were found in DNA damage or gene expression profiles between CONV and FLASH. The organoid formation assay showed a prolonged detrimental effect in the FLASH-treated organoids, suggesting a more complex interaction of FLASH with lung epithelial cells. The results of this study contribute to the advancement of robust in vitro human lung models for investigating the mechanisms of action of FLASH, potentially facilitating the treatment of NSCLC patients with proton FLASH therapy.

From chronic obstructive pulmonary disease (COPD) to lung cancer: a Mendelian randomization study revealing mediation pathways through plasma metabolomics, proteomics, and immunophenotyping

BACKGROUND

Chronic obstructive pulmonary disease (COPD) and lung cancer are pathologically intertwined, with chronic inflammation fostering carcinogenic transformation through dynamic interactions in the tumor microenvironment.

METHODS

This investigation utilized a comprehensive two-sample Mendelian randomization (MR) approach on public genetic datasets to mitigate confounding and determine causality between COPD and lung cancer. We integrated 1400 plasma metabolite characteristics (N = 8299), 731 immune cell attributes (N = 3757), and 4907 plasma protein characteristics (N = 35,559), employing two-sample MR to deduce causal correlations with lung cancer. Sensitivity assessments were executed to fortify the robustness of MR outcomes. Finally, Mendelian mediation analysis was administered to delineate the pathways mediated by plasma immune cells, metabolites, and proteins in the COPD-to-lung cancer continuum. Additionally, we validated our findings using external datasets from the NHANES and TCGA databases to further confirm the reliability of the results.

RESULTS

MR analysis confirmed COPD as a causal risk factor for lung cancer (IVW P-value = 1.38 × 10-5, OR = 1.63(1.31-2.02). We recognized 96 plasma metabolites (comprising 77 distinct metabolites and 19 ratios), 30 immune cell categories, and 58 plasma proteins as having putative causal associations with lung cancer. Mediation analysis revealed 9 mediator interactions, implicating 3 immune cell types, 1 metabolite, and 5 proteins, Sensitivity analyses verified homogeneity and negated pleiotropic effects.

CONCLUSION

Our genetic inquiry endorses a causal link from COPD to lung cancer, mediated through plasma-based immunological, metabolic, and proteomic mechanisms. These biomarkers afford groundbreaking insights into the etiology of lung cancer, facilitating its prophylaxis, diagnosis, and therapeutic interventions.

Epigenome-wide association study of household air pollution exposure in an area with high lung cancer incidence

Background

Lung cancer incidence among never-smoking women in Xuanwei, China, ranks among the highest worldwide and is largely attributed to household air pollution (HAP) from smoky (bituminous) coal combustion, with early-life exposures possibly playing a critical role. We conducted an epigenome-wide DNA methylation (DNAm) analysis across multiple exposure windows to elucidate molecular mechanisms.

Methods

Leukocyte DNAm was measured in 106 never-smoking women (23 with repeated measurements). Fuel use was obtained through questionnaires, and extensive personal and environmental monitoring was conducted. Validated exposure models estimated 43 HAP constituents, primarily polycyclic aromatic hydrocarbons (PAHs), across childhood, current, and cumulative exposure windows. Hierarchical clustering derived exposure clusters. We used generalized estimating equations to identify CpG sites associated with HAP exposure and PAH clusters, including 5-methylchrysene, a methylated PAH previously linked to lung cancer.

Results

We identified several differentially methylated CpG sites, predominantly hypomethylated with HAP exposure. Although some DNAm signatures overlapping with smoking (cg05575921; AHRR) were observed, most changes were distinct. A life-course assessment indicated persistent epigenetic variations across childhood and cumulative exposures, suggesting that early-life exposures may have lasting effects at certain sites (SLC43A2). Within the PAH clusters, 5-methylchrysene appears to be a significant contributor to DNAm variations. Top CpG sites were linked to immune regulation, cell growth and proliferation, and molecular mechanisms of cancer, including lung cancer.

Conclusions

Our findings provide novel insights into HAP-induced DNAm changes and their potential health effects. Future studies with larger sample sizes, and diverse coal use settings are needed to validate and extend these findings.

Prediction of visceral pleural invasion of clinical stage IA lung adenocarcinoma based on computed tomography features

Background

In lung cancer, preoperative prediction of visceral pleural invasion (VPI) is helpful for choosing the best treatment plan and improving the prognosis of patients. This study aimed to investigate the usefulness of computed tomography (CT) features in predicting VPI in clinical stage IA peripheral lung adenocarcinoma (LUAD) with pleural contact.

Methods

This study divided the type of contact between tumor and pleura into indirect and direct contacts. This study retrospectively analyzed patients with clinical stage IA peripheral LUAD in three hospitals and enrolled 485 patients. The CT features of lesions were analyzed to predict VPI, including relative pleural features, tumor signs, and characteristics between the tumor and pleura. Univariate and multivariate logistic regression analyses were used to select the best combination of variables to predict VPI, and the prediction models were developed.

Results

The multivariate logistic regression analysis identified solid component size, pleural tag type, and vascular convergence sign to be independent risk factors for VPI in indirect pleural contact type. The area under curve (AUC) values of the model for predicting VPI in the training, internal validation, and external validation sets were 0.887, 0.799, and 0.862, respectively. Solid component size and pleural indentation sign were identified as independent risk factors for predicting VPI in direct pleural contact type. The AUC values of the model for predicting VPI in the training, internal validation, and external validation sets were 0.903, 0.848, and 0.842, respectively.

Conclusions

CT predictors associated with VPI differ based on the type of contact with the pleura. The multivariate logistic regression models utilizing CT features demonstrates acceptable diagnostic accuracy in predicting VPI in clinical stage IA LUAD with pleural contact.

Exploring the regulatory role of mtTFA on inflammation, oxidative stress, and epigenetic alterations in COPD progressed NSCLC patients with smoking history

Oxidative stress and inflammation are pivotal in linking COPD to NSCLC progression, with dysregulated cytokine levels in inflamed COPD airways correlating with disease severity and lung cancer advancement. CD4+ T helper cells, pivotal in the inflammatory response, exhibit altered gene expression patterns in COPD and NSCLC, emphasizing their role in disease pathogenesis. Mitochondrial transcription factor A (mtTFA) dysregulation is implicated in inflammation and oxidative stress, affecting COPD and NSCLC progression. CRISPR/Cas9-mediated mtTFA depletion heightens inflammatory transcription factor expression, whileitsoverexpression reduces inflammation and oxidative stress markers. Histone deacetylases (HDACs) exhibit elevated expression in COPD and NSCLC CD4+ T cells, with inhibition via TSA treatment showing decreased inflammation and oxidative stress. Patients progressing from COPD to NSCLC demonstrate distinct epigeneticsignatures,with altered acetylation and methylation markers. TSA treatment enhances methylation and acetylation at the VEGFA gene locus, mitigating disease progression effects. Overexpression of mtTFA downregulates HDACs, while knockout upregulates them, influencing oxidative stress levels. These findings underscore the interplay between transcription factors, cytokines, and epigenetic regulation in CD4+ T cells, providing insights into disease mechanisms and potential therapeutic avenues. Understanding these pathways and targets may lead to innovative epigenetic therapies for COPD and NSCLC, potentially preventing COPD progression to NSCLC.

Resectable Non-Small Cell Lung Cancer Heterogeneity and Recurrence Assessed by Tissue Next-Generation Sequencing Genotyping and Circulating Tumor Cell EZH2 Characterization

INTRODUCTION

Non-small cell lung cancer (NSCLC) is the most common type of lung neoplasm. Despite surgical resection, it has a high relapse rate, accounting for 30-55% of all cases. Next-generation sequencing (NGS) based on a customized gene panel and the analysis of circulating tumor cells (CTCs) can help identify heterogeneity, stratify high-risk patients, and guide treatment decisions. In this descriptive study involving a small prospective cohort, we focus on the phenotypic characterization of CTCs, particularly concerning EZH2 expression (a member of the Polycomb Repression Complex 2), as well as on the mutation profiles of the tissue using a customized gene panel and their association with poor outcomes in NSCLC.

METHODS

Isolation and characterization of EZH2 on CTCs were evaluated before surgical resection (CTC1) and one month after surgery (CTC2) in resectable NSCLC patients. Targeted NGS was performed using a customized 50-gene panel on tissue samples from a subset of patients.

RESULTS

76 patients with resectable NSCLC were recruited. The top mutated genes in the cohort included TP53, FLT1, MUC5AC, EGFR, and NLRP3. Pair of genes that had mutually exclusive mutations was TP53-RIN3, and pairs of genes with co-occurring mutations were CD163-TLR4, FGF10-FOXP2, ADAMTSL3-FLT1, ADAMTSL3-MUC5AC and MUC5AC-NLRP3. CTCs decreased significantly between the two time points CTC1 and CTC2 (p<0.0001), and CTCs+ patients with high EZH2 expression had an 87% increased risk of death (p=0.018).

CONCLUSIONS

Integrating molecular profiling of tumors and CTC characterization can provide valuable insights into tumor heterogeneity and improve patient stratification for resectable NSCLC.

Impact of long-term N-acetylcysteine use on cancer risk

Chronic obstructive pulmonary disease (COPD) patients face an increased risk of developing various malignancies due to shared risk factors and underlying systemic inflammation. N-acetylcysteine (NAC) has shown potential anticancer properties in preclinical studies, but clinical evidence in COPD patients is limited. We conducted a nationwide propensity score-matched cohort study using data from Taiwan's National Health Insurance Research Database to evaluate the anticancer effects of NAC in COPD patients. Patients diagnosed with COPD between 2008 and 2019 were included, and those with pre-existing cancer were excluded. NAC use was defined as consistent administration for most days with an average dose exceeding 28 cumulative defined daily doses (cDDDs) annually. Cox regression models were adjusted for various covariates was employed. PSM yielded 91,546 patients, evenly distributed between NAC and non-NAC groups. Multivariate Cox regression analysis revealed a lower cancer risk in patients with long-term NAC use compared to non-users (adjusted hazard ratio [aHR] 0.69, 95% confidence interval [CI] 0.66-0.72; P<0.001). Dose-dependent relationships were observed, with higher daily NAC intake associated with reduced cancer risk. Time-varying Cox regression analysis demonstrated significant reductions in the risk of specific cancers, including hepatocellular carcinoma, colorectal cancer, and breast cancer, among NAC users compared to non-users. Our study provides clinical evidence supporting the potential anticancer effects of NAC in COPD patients. These findings highlight the importance of exploring NAC as a chemopreventive agent in high-risk populations and inform clinical practice and future research endeavors.

A Comprehensive Review of Advances in Molecular Mechanisms and Targeted Therapies for the Specific Type of Cystic Lung Cancer

BACKGROUND AND OBJECTIVE

Cystic lung cancer (CLC) presents diagnostic and treatment challenges due to its complex imaging features and unclear molecular mechanisms. Although surgery and standard chemotherapy are frequently used, there is limited information on targeted therapy and other precision treatments. It is crucial to comprehensively understand the molecular mechanisms and explore precision treatments based on targeted therapy.

METHODS

Topic keywords including "CLC", "cystic lung cancer", "cavitary lung cancer", "Lung cancer associated with cystic airspaces", and "lung cancer" with ("sac cavity" OR "cystic degeneration" OR "thin-walled cavity" OR "adenocystic carcinoma" OR "cystic airspaces" OR "pulmonary cysts" OR "adenoid cystic carcinoma") searched in the relevant databases, such as PubMed, Google Scholar, and CNKI (China National Knowledge Infrastructure). Then, we reviewed and analyzed the molecular mechanism and its precision therapeutics of CLC.

KEY CONTENT AND FINDINGS

Various subtypes of CLC can be identified through histopathological examination, such as cystic adenocarcinoma, and squamous cell carcinoma. However, we still have much to learn about the molecular mechanisms behind CLC. Gene mutation, the abnormal tumor microenvironment, and immune dysfunction are the main mechanisms, along with potential factors like epigenetic modifications and gene susceptibility related to COPD. Recent advancements in treatment include targeted therapies, such as targeted inhibitors for EGFR, ALK, ROS1, BRAF, and MET. Surgical treatment, standardized chemotherapy, immunotherapy, and combination therapy remain important. Future research should focus on genomic and molecular profiling, and the development of precision medicine based on insights into the heterogeneity of CLC. Additionally, investigating resistance mechanisms and developing predictive biomarkers are important for future CLC research.

CONCLUSION

The key molecular mechanisms of CLC involve gene mutations and TME immune dysfunction. CLC still requires standard comprehensive treatment based on lung cancer staging, and targeted therapy has shown significant advantages and development prospects.

Recent trends and therapeutic potential of phytoceutical-based nanoparticle delivery systems in mitigating non-small cell lung cancer

Lung cancer is the leading cause of cancer death globally, with non-small cell lung cancer accounting for the majority (85%) of cases. Standard treatments including chemotherapy and radiotherapy present multiple adverse effects. Medicinal plants, used for centuries, are traditionally processed by methods such as boiling and oral ingestion, However, water solubility, absorption, and hepatic metabolism reduce phytoceutical bioavailability. More recently, isolated molecular compounds from these plants can be extracted with these phytoceuticals administered either individually or as an adjunct with standard therapy. Phytoceuticals have been shown to alleviate symptoms, may reduce dosage of chemotherapy and, in some cases, enhance pharmaceutical mechanisms. Research has identified many phytoceuticals' actions on cancer-associated pathways, such as oncogenesis, the tumour microenvironment, tumour cell proliferation, metastasis, and apoptosis. The development of novel nanoparticle delivery systems such as solid lipid nanoparticles, liquid crystalline nanoparticles, and liposomes has enhanced the bioavailability and targeted delivery of pharmaceuticals and phytoceuticals. This review explores the biological pathways associated with non-small cell lung cancer, a diverse range of phytoceuticals, the cancer pathways they act upon, and the pros and cons of several nanoparticle delivery systems.

COPD and Immune Checkpoint Inhibitors for Cancer: A Literature Review

Purpose

Immune checkpoint inhibitors are a standard treatment option for many patients with cancer and are most frequently used to treat lung cancer. Chronic obstructive pulmonary disease (COPD) is the most common comorbidity of patients with lung cancer. As the cancer-specific survival of patients with lung cancer continues to increase with modern treatments, it is critical to optimize comorbidities to improve overall survival. This literature review aimed to summarize current research on the impact of COPD upon immunotherapy outcomes.

Methods

A comprehensive search was conducted in the PubMed database using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Inclusion criteria focused on peer-reviewed articles published between 2010 and 2024 that addressed COPD, cancer, and immune checkpoint inhibitors. The study team screened the studies for relevance and then synthesized them narratively.

Results

This review identified 37 studies that met the inclusion criteria. Findings suggest that COPD is predictive of improved efficacy but slightly worse toxicity from immune checkpoint inhibitor therapy. The chronic inflammation of COPD leads to immune exhaustion including the overexpression of immune checkpoints on T-cells. Particularly within "hot" tumors that have higher concentrations of tumor-infiltrating lymphocytes, the COPD-related increase in programmed cell death protein 1 (PD-1) signaling likely creates sensitivity to immune checkpoint inhibitors. However, COPD can also lead to respiratory dysfunction, debility, and interstitial lung disease; each of which increases the severity of immune-related adverse events.

Conclusion

COPD is a critical comorbidity that has a significant impact on many patients with cancer who receive treatment with immune checkpoint inhibitors. Future research is needed to design interventions to optimize COPD care in this high-risk patient population.

Equivocating and Deliberating on the Probability of COVID-19 Infection Serving as a Risk Factor for Lung Cancer and Common Molecular Pathways Serving as a Link

The COVID-19 infection caused by SARS-CoV-2 in late 2019 posed unprecedented global health challenges of massive proportions. The persistent effects of COVID-19 have become a subject of significant concern amongst the medical and scientific community. This article aims to explore the probability of a link between the COVID-19 infection and the risk of lung cancer development. First, this article reports that SARS-CoV-2 induces severe inflammatory response and cellular stress, potentially leading to tumorigenesis through common pathways between SARS-CoV-2 infection and cancer. These pathways include the JAK/STAT3 pathway which is activated after the initiation of cytokine storm following SARS-CoV-2 infection. This pathway is involved in cellular proliferation, differentiation, and immune homeostasis. The JAK/STAT3 pathway is also hyperactivated in lung cancer which serves as a link thereof. It predisposes patients to lung cancer through myriad molecular mechanisms such as DNA damage, genomic instability, and cell cycle dysregulation. Another probable pathway to tumorigenesis is based on the possibility of an oncogenic nature of SARS-CoV-2 through hijacking the p53 protein, leading to cell oxidative stress and interfering with the DNA repair mechanisms. Finally, this article highlights the overexpression of the SLC22A18 gene in lung cancer. This gene can be overexpressed by the ZEB1 transcription factor, which was found to be highly expressed during COVID-19 infection.

Completing the Puzzle: Determinants, Comorbidities and Complications for Different Lung Cancer Subtypes: A Pilot Study

BACKGROUND

Lung cancer remains one of the leading causes of cancer-related mortality worldwide, with multiple independent risk factors contributing to its development. The objective of this study was represented by the impact of independent risk factors, such as smoking, anemia, cachexia or COPD (chronic obstructive pulmonary disease) for lung cancer development.

METHODS

We conducted a retrospective study, and we analyzed a database of 412 patients hospitalized between 1 February and 31 December 2023 in the Pulmonology Department of the Mureș County Clinical Hospital. Following the analysis of the inclusion and exclusion criteria, the final analyzed group included 115 patients.

RESULTS

From the study group, 88 patients were diagnosed with non-small cell lung cancer and 27 with small cell lung cancer. Of the non-small cell lung cancer patients, 50% had adenocarcinoma and 50% had squamous cell carcinoma. Chronic obstructive pulmonary disease and cardiovascular diseases predominate as concomitant pathologies, with 82 and 81 cases identified among the patients evaluated, respectively. The incidence of diabetes mellitus was n = 20 for the patients, followed by asthma and other neoplasms. The body mass index was also analyzed with an average of 24.6. Body mass index does not correlate with histological type. The mean hemoglobin value in the group of patients was 12.8, and this could not be correlated with the histopathological type.

CONCLUSIONS

Chronic obstructive pulmonary disease and lung cancer may just be two different clinical presentations based on the same etiological factors, which also have a lot of overlapping pathophysiological mechanisms. Therefore, Chronic obstructive pulmonary disease represents an individual risk factor for developing lung cancer. Smoking, as well as anemia, cachexia or other comorbidities (COPD), are individual risk factors for lung cancer.

Pulmonary Epithelium Cell Fate Determination: Chronic Obstructive Pulmonary Disease, Lung Cancer, or Both

The concurrence of chronic obstructive pulmonary disease (COPD) and lung cancer has been widely reported and extensively addressed by pulmonologists and oncologists. However, most studies have focused on shared risk factors, DNA damage pathways, immune microenvironments, inflammation, and imbalanced proteases/antiproteases. In the present review, we explore the association between COPD and lung cancer in terms of airway pluripotent cell fate determination and discuss the various cell types and signaling pathways involved in the maintenance of lung epithelium homeostasis and their involvement in the pathogenesis of co-occurring COPD and lung cancer.

Lysimachia mauritiana Lam. Extract Alleviates Airway Inflammation Induced by Particulate Matter Plus Diesel Exhaust Particles in Mice

Exposure to air pollution poses a risk to human respiratory health, and a preventive and therapeutic remedy against fine dust-induced respiratory disease is needed.

BACKGROUND/OBJECTIVES

The respiratory-protective effects of Lysimachia mauritiana (LM) against airway inflammation were evaluated in a mouse model exposed to a fine dust mixture of diesel exhaust particles and particulate matter with a diameter of less than 10 µm (PM10D).

METHODS

To induce airway inflammation, PM10D was intranasally injected into BALB/c mice three times a day for 12 days, and LM extracts were given orally once per day. The immune cell subtypes, histopathology, and expression of inflammatory mediators were analyzed from the bronchoalveolar lavage fluid (BALF) and lungs.

RESULTS

LM alleviated the accumulation of neutrophils and the number of inflammatory cells in the lungs and the BALF of the PM10D-exposed mice. LM also reduced the release of inflammatory mediators (MIP-2, IL-17, IL-1α, CXCL1, TNF-α, MUC5AC, and TRP receptor channels) in the BALF and lungs. Lung histopathology was used to examine airway inflammation and the accumulation of collagen fibers and inflammatory cells after PM10D exposure and showed that LM administration improved this inflammation. Furthermore, LM extract inhibited the MAPK and NF-κB signaling pathway in the lungs and improved expectoration activity through an increase in phenol red release from the trachea.

CONCLUSIONS

LM alleviated PM10D-exposed neutrophilic airway inflammation by suppressing MAPK/NF-κB activation. This study indicates that LM extract may be an effective therapeutic agent against inflammatory respiratory diseases.

Oncogenic potential of SARS-CoV-2-targeting hallmarks of cancer pathways

The 2019 outbreak of SARS-CoV-2 has caused a major worldwide health crisis with high rates of morbidity and death. Interestingly, it has also been linked to cancer, which begs the issue of whether it plays a role in carcinogenesis. Recent studies have revealed various mechanisms by which SARS-CoV-2 can influence oncogenic pathways, potentially promoting cancer development. The virus encodes several proteins that alter key signaling pathways associated with cancer hallmarks. Unlike classical oncogenic viruses, which transform cells through viral oncogenes or by activating host oncogenes, SARS-CoV-2 appears to promote tumorigenesis by inhibiting tumor suppressor genes and pathways while activating survival, proliferation, and inflammation-associated signaling cascades. Bioinformatic analyses and experimental studies have identified numerous interactions between SARS-CoV-2 proteins and cellular components involved in cancer-related processes. This review explores the intricate relationship between SARS-CoV-2 infection and cancer, focusing on the regulation of key hallmarks driving initiation, promotion and progression of cancer by viral proteins. By elucidating the underlying mechanisms driving cellular transformation, the potential of SARS-CoV-2 as an oncovirus is highlighted. Comprehending these interplays is essential to enhance our understanding of COVID-19 and cancer biology and further formulating strategies to alleviate SARS-CoV-2 influence on cancer consequences.

MMPs as potential molecular targets in epithelial-to-mesenchymal transition driven COPD progression

Chronic obstructive pulmonary disease (COPD) is the third leading cause of mortality globally and the risk of developing lung cancer is six times greater in individuals with COPD who smoke compared to those who do not smoke. Matrix metalloproteinases (MMPs) play a crucial role in the pathophysiology of respiratory diseases by promoting inflammation and tissue degradation. Furthermore, MMPs are involved in key processes like epithelial-to-mesenchymal transition (EMT), metastasis, and invasion in lung cancer. While EMT has traditionally been associated with the progression of lung cancer, recent research highlights its active involvement in individuals with COPD. Current evidence underscores its role in orchestrating airway remodeling, fostering airway fibrosis, and contributing to the potential for malignant transformation in the complex pathophysiology of COPD. The precise regulatory roles of diverse MMPs in steering EMT during COPD progression needs to be elucidated. Additionally, the less-understood aspect involves how these MMPs bi-directionally activate or regulate various EMT-associated signaling cascades during COPD progression. This review article explores recent advancements in understanding MMPs' role in EMT during COPD progression and various pharmacological approaches to target MMPs. It also delves into the limitations of current MMP inhibitors and explores novel, advanced strategies for inhibiting MMPs, potentially offering new avenues for treating respiratory diseases.

Association between common chronic pulmonary diseases and lung cancer: Mendelian randomization analysis

BACKGROUND

Lung cancer is a leading public health concern worldwide. Previous evidence suggests that chronic obstructive pulmonary disease (COPD) and asthma may contribute to its development. However, whether these common chronic pulmonary diseases are causal factors of lung cancer remained unclear.

METHODS

Summary statistics from genome-wide association studies (GWAS) were used for Mendelian randomization (MR) analysis. Genetic data for COPD were obtained from the Global Biobank Meta-Analysis Initiative, and asthma data were retrieved from the UK Biobank cohort. Suitable instrumental variables were selected based on quality control measures. GWAS summary data for lung cancer were obtained from a large study involved 85,716 participants. MR analysis was performed using various methods, and sensitivity analyses were conducted. Multivariable MR (MVMR) analysis was employed to account for potential confounding factors.

RESULTS

Our MR analysis revealed a significant causal association between COPD and lung cancer, including its subtypes such as lung squamous cell carcinoma, lung adenocarcinoma, and small cell lung carcinoma. Genetically predicted COPD was associated with a 64% increased risk of lung cancer and a 2.3 to 2.8-fold increased risk of the different subtypes. However, in the MVMR analysis adjusting for smoking, alcohol drinking, and body mass index, the association between COPD and lung cancer became non-significant. No significant association was observed between asthma (childhood-onset and adult-onset) and lung cancer and its histological subtypes.

CONCLUSIONS

Our study suggests a potential causal association between COPD and lung cancer. However, this association became non-significant after adjusting for smoking in the multivariable analysis.

Single-cell transcriptome analysis deciphers the CD74-mediated immune evasion and tumour growth in lung squamous cell carcinoma with chronic obstructive pulmonary disease

BACKGROUND

Chronic obstructive pulmonary disease (COPD) contributes to the incidence and prognosis of lung cancer. The presence of COPD significantly increases the risk of lung squamous cell carcinoma (LSCC). COPD may promote an immunosuppressive microenvironment in LSCC by regulating the expression of immune-inhibitory factors in T cells, although the mechanisms remain unclear. In this study, we aimed to decipher the tumour microenvironment signature for LSCC with COPD at a single-cell level.

METHODS

We performed single-cell RNA sequencing on tumour tissues from LSCC with or without COPD, then investigated the features of the immune and tumour cells. We employed multiple techniques, including multispectral imaging, flow cytometry, tissue microarray analysis, survival analysis, co-culture systems and in vitro and in vivo treatment experiments, to validate the findings obtained from single-cell analyses.

RESULTS

LSCC with COPD showed increased proportions of tumour-associated macrophages (TAMs) and higher levels of CD8+ T cell exhaustion molecules, which contributed to an immunosuppressive microenvironment. Further analysis revealed a critical cluster of CD74+ tumour cells that expressed both epithelial and immune cell signatures, exhibited a stronger capacity for tumorigenesis and predicted worse overall survival. Notably, migration inhibitory factor (MIF) secreted by TAMs from LSCC with COPD may promote the activation of CD74. MIF-CD74 may interact with CD8+ T cells and impair their anti-tumour activity by regulating the PI3K-STAT3-programmed cell death-1 ligand 1 signalling pathway, facilitating tumour proliferation and immune evasion.

CONCLUSIONS

Our comprehensive picture of the tumour ecosystem in LSCC with COPD provides deeper insights into relevant immune evasion mechanisms and potential targets for immunotherapy.

HIGHLIGHT

Our results demonstrated higher proportions of tumour-associated macrophages (TAMs) and higher levels of exhaustion molecules in CD8+ T cells in the microenvironment of LSCC with COPD. CD74+tumour cells were associated with poor disease prognosis. Migration inhibitory factor (MIF)-CD74 may interact with CD8+ T cells and impair their anti-tumour activity by regulating the PI3K-STAT3-PD-L1 signalling pathway, facilitating immune evasion.

Non-adherence to COPD medications and its association with adverse events: A longitudinal population based cohort study of older adults

OBJECTIVE

To determine the association between non-adherence to long term chronic obstructive pulmonary disease (COPD) medications and COPD related emergency department (ED) visits and hospitalizations in patients with incident COPD, utilizing time varying measures of adherence as well as accounting for time-varying confounding impacted by prior adherence.

STUDY DESIGN AND SETTING

We conducted a population-based retrospective cohort study between 2007-2017 among individuals aged 66 years and older with incident COPD using multiple linked administrative health databases from the province of Ontario, Canada. Adherence to COPD medications was measured using time varying proportion of days covered based on insurance claims for medications dispensed at community pharmacies. The parametric g-formula was used to assess the association between time-varying adherence (in the last 90-days) to COPD medications and risk of COPD related hospitalizations and ED visits while accounting for time varying confounding by COPD severity.

RESULTS

Overall, 60,251 individuals with incident COPD were included; mean age was 76 (SD 7) and 59% were male. Mean adherence over the entire follow-up was 23% (SD 0.3). There were 7248 (12%) COPD related ED visits (2.8 events per 100 person years [PY]) and 9188 (15%) COPD related hospitalizations (3.5 events per 100 PY). Compared to those with 0% 90-day adherence, those with adherence between 1-33% had a 19% decreased risk of COPD related ED visits (adjusted risk ratio[aRR]:0.81, 95% confidence interval [CI]:0.78-0.83), those with adherence between 34%-67% had a 18% decreased risk (aRR: 0.82, 95% CI: 0.77-0.85) while those with 68%-100% 90-day adherence had a 63% increased risk of COPD related ED visits (aRR: 1.63, 95% CI: 1.47-1.78). Nearly identical results were obtained for COPD specific hospitalizations.

CONCLUSION

After accounting for time varying confounding by COPD severity, the highest time varying 90-days adherence was associated with an increased risk of both COPD related ED visits and hospitalizations compared to the lowest adherence categories. Differences in COPD severity between adherence categories, perception of need for medication management in the higher adherence categories, and potential residual confounding makes it difficult to disentangle the independent effects of adherence from the severity of the condition itself.

Natural Compounds for Preventing Age-Related Diseases and Cancers

Aging is a multifaceted process influenced by hereditary factors, lifestyle, and environmental elements. As time progresses, the human body experiences degenerative changes in major functions. The external and internal signs of aging manifest in various ways, including skin dryness, wrinkles, musculoskeletal disorders, cardiovascular diseases, diabetes, neurodegenerative disorders, and cancer. Additionally, cancer, like aging, is a complex disease that arises from the accumulation of various genetic and epigenetic alterations. Circadian clock dysregulation has recently been identified as an important risk factor for aging and cancer development. Natural compounds and herbal medicines have gained significant attention for their potential in preventing age-related diseases and inhibiting cancer progression. These compounds demonstrate antioxidant, anti-inflammatory, anti-proliferative, pro-apoptotic, anti-metastatic, and anti-angiogenic effects as well as circadian clock regulation. This review explores age-related diseases, cancers, and the potential of specific natural compounds in targeting the key features of these conditions.

Lung cancer among outpatients with COPD: a 7-year cohort study

Introduction

Lung cancer (LC) is the most common cause of cancer-related deaths worldwide, and its prognosis upon metastasis remains poor. Patients with COPD face a significantly elevated LC risk, up to six times greater than those with normal lung function. We aimed to investigate LC prevalence and stage distribution among COPD outpatients. Furthermore, we aimed to outline the COPD-related variables associated with referral for LC examination.

Methods

We conducted a retrospective analysis encompassing the period from 1 January 2012 to 31 December 2018 on all outpatients with COPD and LC and individuals referred for LC examinations.

Results

Among all COPD outpatients, 2231 patients (18%) were referred for LC examinations and 565 (4.6%) were diagnosed with LC. LC patients with COPD were more likely to be stage I-II, in contrast to the non-COPD LC population (46% versus 26%, p<0.001 for all). Patients referred for LC examinations exhibited higher use of COPD-related medications, reported more severe dyspnoea (69% versus 66% with Medical Research Council dyspnoea score >2) and experienced a greater frequency of exacerbations (30% versus 24% with two or more exacerbations).

Conclusion

Our study revealed a notably high LC incidence among COPD outpatients. LC patients with COPD were diagnosed at earlier stages, and outpatients with more pronounced COPD symptoms were more inclined to undergo LC diagnostics. The overrepresentation of LC cases among COPD outpatients emphasises the importance of tailoring specific screening initiatives for this demographic.

Complications and comorbidities associated with antineoplastic chemotherapy: Rethinking drug design and delivery for anticancer therapy

Despite the considerable advancements in chemotherapy as a cornerstone modality in cancer treatment, the prevalence of complications and pre-existing diseases is on the rise among cancer patients along with prolonged survival and aging population. The relationships between these disorders and cancer are intricate, bearing significant influence on the survival and quality of life of individuals with cancer and presenting challenges for the prognosis and outcomes of malignancies. Herein, we review the prevailing complications and comorbidities that often accompany chemotherapy and summarize the lessons to learn from inadequate research and management of this scenario, with an emphasis on possible strategies for reducing potential complications and alleviating comorbidities, as well as an overview of current preclinical cancer models and practical advice for establishing bio-faithful preclinical models in such complex context.

Anticancer Effects of Spiperone in C57BL/6 Mice with Emphysema and Lung Carcinoma

The antitumor and antimetastatic activity of dopamine D2 receptor antagonists spiperone was studied in C57BL/6 mice in a model of combined pathology (emphysema and lung cancer). Emphysema was induced by administration of LPS and cigarette smoke extract. Lung cancer was induced by injection of Lewis lung carcinoma cells into the lung. It has been shown that under conditions of combined lung pathology, spiperone prevents inflammatory infiltration and emphysematous expansion of the lungs and reduces the size of the primary tumor node, the number of metastases, and the area of the lungs affected by metastases. Spiperone reduces the number of cancer stem cells (CSCs) in the lungs and blood of mice with combined pathology. CSCs isolated from the lungs and blood of mice with combined pathology treated with spiperone had a significantly lower potential to form a tumorosphere in vitro than CSCs from untreated mice with emphysema and lung carcinoma. Thus, blockade of dopamine D2 receptors is a promising approach for correcting combined lung pathology and can be used in the development of a method for treating lung cancer in patients with emphysema.

Glucocorticoids in lung cancer: Navigating the balance between immunosuppression and therapeutic efficacy

Glucocorticoids (GCs), a class of hormones secreted by the adrenal glands, are released into the bloodstream to maintain homeostasis and modulate responses to various stressors. These hormones function by binding to the widely expressed GC receptor (GR), thereby regulating a wide range of pathophysiological processes, especially in metabolism and immunity. The role of GCs in the tumor immune microenvironment (TIME) of lung cancer (LC) has been a focal point of research. As immunosuppressive agents, GCs exert a crucial impact on the occurrence, progression, and treatment of LC. In the TIME of LC, GCs act as a constantly swinging pendulum, simultaneously offering tumor-suppressive properties while diminishing the efficacy of immune-based therapies. The present study reviews the role and mechanisms of GCs in the TIME of LC.

Autocrine insulin-like growth factor 2 signaling as a potential target in the associated development of pulmonary emphysema and cancer in smokers

BACKGROUND

Tobacco smoking causes pulmonary inflammation, resulting in emphysema, an independent risk factor for lung cancer. Induction of insulin-like growth factor 2 (IGF2) in response to lung injury by tobacco carcinogens, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol and polycyclic aromatic hydrocarbon benzo[a]pyrene in combination (NB), is critical for the proliferation of alveolar type 2 cells (AT2s) for lung repair. However, persistent IGF2 overexpression during NB-induced severe injury results in hyperproliferation of AT2s without coordinated AT2-to-AT1 differentiation, disrupting alveolar repair, which leads to the concurrent development of emphysema and lung cancer. The current study aims to verify the role of IGF2 signaling in the associated development of emphysema and cancer and develop effective pharmaceuticals for the diseases using animal models that recapitulate the characteristics of these chronic diseases.

METHODS

The pathogenesis of pulmonary emphysema and cancer was analyzed by lung function testing, histological evaluation, in situ zymography, dihydroethidium staining, and immunofluorescence and immunohistochemistry analyses utilizing mouse models of emphysema and cancer established by moderate exposure to NB for up to seven months.

RESULTS

Moderate NB exposure induced IGF2 expression in AT2s during the development of pulmonary emphysema and lung cancer in mice. Using AT2-specific insulin receptor knockout mice, we verified the causative role of sustained IGF2 signaling activation in AT2s in emphysema development. IGF2-targeting strategies, including voltage-dependent calcium channel blocker (CCB) and a neutralizing antibody, significantly suppressed the NB-induced development of emphysema and lung cancer. A publicly available database revealed an inverse correlation between the use of calcium channel blockers and a COPD diagnosis.

CONCLUSIONS

Our work confirms sustained IGF2 signaling activation in AT2s couples impaired lung repair to the concurrent development of emphysema and cancer in mice. Additionally, CCB and IGF2-specific neutralizing antibodies are effective pharmaceuticals for the two diseases.

Shared genetic aetiology of respiratory diseases: a genome-wide multitraits association analysis

OBJECTIVE

This study aims to explore the common genetic basis between respiratory diseases and to identify shared molecular and biological mechanisms.

METHODS

This genome-wide pleiotropic association study uses multiple statistical methods to systematically analyse the shared genetic basis between five respiratory diseases (asthma, chronic obstructive pulmonary disease, idiopathic pulmonary fibrosis, lung cancer and snoring) using the largest publicly available genome wide association studies summary statistics. The missions of this study are to evaluate global and local genetic correlations, to identify pleiotropic loci, to elucidate biological pathways at the multiomics level and to explore causal relationships between respiratory diseases. Data were collected from 27 November 2022 to 30 March 2023 and analysed from 14 April 2023 to 13 July 2023.

MAIN OUTCOMES AND MEASURES

The primary outcomes are shared genetic loci, pleiotropic genes, biological pathways and estimates of genetic correlations and causal effects.

RESULTS

Significant genetic correlations were found for 10 paired traits in 5 respiratory diseases. Cross-Phenotype Association identified 12 400 significant potential pleiotropic single-nucleotide polymorphism at 156 independent pleiotropic loci. In addition, multitrait colocalisation analysis identified 15 colocalised loci and a subset of colocalised traits. Gene-based analyses identified 432 potential pleiotropic genes and were further validated at the transcriptome and protein levels. Both pathway enrichment and single-cell enrichment analyses supported the role of the immune system in respiratory diseases. Additionally, five pairs of respiratory diseases have a causal relationship.

CONCLUSIONS AND RELEVANCE

This study reveals the common genetic basis and pleiotropic genes among respiratory diseases. It provides strong evidence for further therapeutic strategies and risk prediction for the phenomenon of respiratory disease comorbidity.

Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinoma

BACKGROUND

Accurate prediction of visceral pleural invasion (VPI) in lung adenocarcinoma before operation can provide guidance and help for surgical operation and postoperative treatment. We investigate the value of intratumoral and peritumoral radiomics nomograms for preoperatively predicting the status of VPI in patients diagnosed with clinical stage IA lung adenocarcinoma.

METHODS

A total of 404 patients from our hospital were randomly assigned to a training set (n = 283) and an internal validation set (n = 121) using a 7:3 ratio, while 81 patients from two other hospitals constituted the external validation set. We extracted 1218 CT-based radiomics features from the gross tumor volume (GTV) as well as the gross peritumoral tumor volume (GPTV5, 10, 15), respectively, and constructed radiomic models. Additionally, we developed a nomogram based on relevant CT features and the radscore derived from the optimal radiomics model.

RESULTS

The GPTV10 radiomics model exhibited superior predictive performance compared to GTV, GPTV5, and GPTV15, with area under the curve (AUC) values of 0.855, 0.842, and 0.842 in the three respective sets. In the clinical model, the solid component size, pleural indentation, solid attachment, and vascular convergence sign were identified as independent risk factors among the CT features. The predictive performance of the nomogram, which incorporated relevant CT features and the GPTV10-radscore, outperformed both the radiomics model and clinical model alone, with AUC values of 0.894, 0.828, and 0.876 in the three respective sets.

CONCLUSIONS

The nomogram, integrating radiomics features and CT morphological features, exhibits good performance in predicting VPI status in lung adenocarcinoma.

A new frontier in precision medicine: Exploring the role of extracellular vesicles in chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory airway disease characterized by progressive respiratory difficulties. It has a high incidence and disability rate worldwide. However, currently there is still a lack of highly effective treatment methods for COPD, only symptom relief is possible. Therefore, there is an urgent need to explore new treatment options. Almost all cells can secrete extracellular vesicles (EVs), which participate in many physiological activities by transporting cargoes and are associated with the pathogenesis of various diseases. Recently, many scholars have extensively studied the relationship between COPD and EVs, which has strongly demonstrated the significant impact of EVs from different sources on the occurrence and development of COPD. Therefore, EVs are a good starting point and new opportunity for the diagnosis and treatment of COPD. In this review, we mainly describe the current mechanisms of EVs in the pathogenesis of COPD, also the relationship between diagnosis, prognosis, and treatment. At the same time, we also introduce some new methods for COPD therapy based on EVs. It is hoped that this article can provide new ideas for future research and contribute to the development of precision medicine.

From Case Reports to Molecular Insight: Examining the Outcomes and Underlying Mechanisms of Squamous Cell Carcinoma in Breast Implant Patients-A Systematic Review

There is extensive coverage in the existing literature on implant-associated lymphomas like anaplastic large-cell lymphoma, but breast implant-associated squamous cell carcinoma (BIA-SCC) has received limited scholarly attention since its first case in 1992. Thus, this study aims to conduct a qualitative synthesis focused on the underexplored association between breast implants and BIA-SCC. A systematic review was conducted utilizing the PubMed, Web of Science, and Cochrane databases to identify all currently reported cases of BIA-SCC. Additionally, a literature review was performed to identify potential biochemical mechanisms that could lead to BIA-SCC. Studies were vetted for quality using the NIH quality assessment tool. From an initial pool of 246 papers, 11 met the quality criteria for inclusion, examining a total of 14 patients aged between 40 and 81 years. BIA-SCC was found in a diverse range of implants, including those with smooth and textured surfaces, as well as those filled with saline and silicone. The condition notably manifested a proclivity for aggressive clinical progression, as evidenced by a mortality rate approximating 21.4% within a post-diagnostic interval of six months. Our literature review reveals that chronic inflammation, driven by various external factors such as pathogens and implants, can initiate carcinogenesis through epigenetic modifications and immune system alterations. This includes effects from exosomes and macrophage polarization, showcasing potential pathways for the pathogenesis of BIA-SCC. The study highlights the pressing need for further investigation into BIA-SCC, a subject hitherto inadequately addressed in the academic sphere. This necessitates the urgency for early screening and intervention to improve postoperative outcomes. While the review is confined by its reliance on case reports and series, it serves as a valuable reference for future research endeavors.

Oxidative Damage and Telomere Length as Markers of Lung Cancer Development among Chronic Obstructive Pulmonary Disease (COPD) Smokers

Lung cancer (LC) constitutes an important cause of death among patients with Chronic Obstructive Pulmonary Disease (COPD). Both diseases may share pathobiological mechanisms related to oxidative damage and cellular senescence. In this study, the potential value of leucocyte telomere length, a hallmark of aging, and 8-OHdG concentrations, indicative of oxidative DNA damage, as risk biomarkers of LC was evaluated in COPD patients three years prior to LC diagnosis. Relative telomere length measured using qPCR and serum levels of 8-OHdG were determined at the baseline in 99 COPD smokers (33 with LC and 66 age-matched COPD without LC as controls). Of these, 21 COPD with LC and 42 controls had the biomarkers measured 3 years before. Single nucleotide variants (SNVs) in TERT, RTEL, and NAF1 genes were also determined. COPD cases were evaluated, which showed greater telomere length (p < 0.001) and increased serum 8-OHdG levels (p = 0.004) three years prior to LC diagnosis compared to the controls. This relationship was confirmed at the time of LC diagnosis. No significant association was found between the studied SNVs in cases vs. controls. In conclusion, this preliminary study shows that longer leucocyte telomere length and increased 8-OHdG serum levels can be useful as early biomarkers of the risk for future lung cancer development among COPD patients.

Lung microbiome: new insights into the pathogenesis of respiratory diseases

The lungs were long thought to be sterile until technical advances uncovered the presence of the lung microbial community. The microbiome of healthy lungs is mainly derived from the upper respiratory tract (URT) microbiome but also has its own characteristic flora. The selection mechanisms in the lung, including clearance by coughing, pulmonary macrophages, the oscillation of respiratory cilia, and bacterial inhibition by alveolar surfactant, keep the microbiome transient and mobile, which is different from the microbiome in other organs. The pulmonary bacteriome has been intensively studied recently, but relatively little research has focused on the mycobiome and virome. This up-to-date review retrospectively summarizes the lung microbiome's history, composition, and function. We focus on the interaction of the lung microbiome with the oropharynx and gut microbiome and emphasize the role it plays in the innate and adaptive immune responses. More importantly, we focus on multiple respiratory diseases, including asthma, chronic obstructive pulmonary disease (COPD), fibrosis, bronchiectasis, and pneumonia. The impact of the lung microbiome on coronavirus disease 2019 (COVID-19) and lung cancer has also been comprehensively studied. Furthermore, by summarizing the therapeutic potential of the lung microbiome in lung diseases and examining the shortcomings of the field, we propose an outlook of the direction of lung microbiome research.

Particulate Matter and Its Impact on Macrophages: Unraveling the Cellular Response for Environmental Health

Particulate matter (PM) imposes a significant impact to environmental health with deleterious effects on the human pulmonary and cardiovascular systems. Macrophages (Mφ), key immune cells in lung tissues, have a prominent role in responding to inhaled cells, accommodating inflammation, and influencing tissue repair processes. Elucidating the critical cellular responses of Mφ to PM exposure is essential to understand the mechanisms underlying PM-induced health effects. The present review aims to give a glimpse on literature about the PM interaction with Mφ, triggering the cellular events causing the inflammation, oxidative stress (OS) and tissue damage. The present paper reviews the different pathways involved in Mφ activation upon PM exposure, including phagocytosis, intracellular signaling cascades, and the release of pro-inflammatory mediators. Potential therapeutic strategies targeting Mφ-mediated responses to reduce PM-induced health effects are also discussed. Overall, unraveling the complex interplay between PM and Mφ sheds light on new avenues for environmental health research and promises to develop targeted interventions to reduce the burden of PM-related diseases on global health.

E3 ubiquitin ligases in lung cancer: Emerging insights and therapeutic opportunities

Aim In this review, we have attempted to provide the readers with an updated account of the role of a family of proteins known as E3 ligases in different aspects of lung cancer progression, along with insights into the deregulation of expression of these proteins during lung cancer. A detailed account of the therapeutic strategies involving E3 ligases that have been developed or currently under development has also been provided in this review. MATERIALS AND METHODS: The review article employs extensive literature search, along with differential gene expression analysis of lung cancer associated E3 ligases using the DESeq2 package in R, and the Gene Expression Profiling Interactive Analysis (GEPIA) database (http://gepia.cancer-pku.cn/). Protein expression analysis of CPTAC lung cancer samples was carried out using the UALCAN webtool (https://ualcan.path.uab.edu/index.html). Assessment of patient overall survival (OS) in response to high and low expression of selected E3 ligases was performed using the online Kaplan-Meier plotter (https://kmplot.com/analysis/index.php?p=background). KEY FINDINGS: SIGNIFICANCE: The review provides an in-depth understanding of the role of E3 ligases in lung cancer progression and an up-to-date account of the different therapeutic strategies targeting oncogenic E3 ligases for improved lung cancer management.

A Bibliometric Analysis of Comorbidity of COPD and Lung Cancer: Research Status and Future Directions

Objective

Although studies on the association between COPD and lung cancer are of great significance, no bibliometric analysis has been conducted in the field of their comorbidity. This bibliometric analysis explores the current situation and frontier trends in the field of COPD and lung cancer comorbidity, and to lay a new direction for subsequent research.

Methods

Articles in the field of COPD and cancer comorbidity were retrieved from Web of Science Core Collections (WoSCC) from 2004 to 2023, and analyzed by VOSviewer, CiteSpace, Biblimatrix and WPS Office.

Results

In total, 3330 publications were included. The USA was the leading country with the most publications and great influence. The University of Groningen was the most productive institution. Edwin Kepner Silverman was the most influential scholar in this field. PLOS One was found to be the most prolific journal. Mechanisms and risk factors were of vital importance in this research field. Environmental pollution and pulmonary fibrosis may be future research prospects.

Conclusion

This bibliometric analysis provided new guidance for the development of the field of COPD and lung cancer comorbidity by visualizing current research hotspots, and predicting possible hot research directions in the future.

CT-Based Radiomic Nomogram for the Prediction of Chronic Obstructive Pulmonary Disease in Patients with Lung cancer

RATIONALE AND OBJECTIVES

To develop and validate a model for predicting chronic obstructive pulmonary disease (COPD) in patients with lung cancer based on computed tomography (CT) radiomic signatures and clinical and imaging features.

MATERIALS AND METHODS

We retrospectively enrolled 443 patients with lung cancer who underwent pulmonary function test as the primary cohort. They were randomly assigned to the training (n = 311) or validation (n = 132) set in a 7:3 ratio. Additionally, an independent external cohort of 54 patients was evaluated. The radiomic lung nodule signature was constructed using the least absolute shrinkage and selection operator algorithm, while key variables were selected using logistic regression to develop the clinical and combined models presented as a nomogram.

RESULTS

COPD was significantly related to the radiomics signature in both cohorts. Moreover, the signature served as an independent predictor of COPD in the multivariate regression analysis. For the training, internal, and external cohorts, the area under the receiver operating characteristic curve (ROC, AUC) values of our radiomics signature for COPD prediction were 0.85, 0.85, and 0.76, respectively. Additionally, the AUC values of the radiomic nomogram for COPD prediction were 0.927, 0.879, and 0.762 for the three cohorts, respectively, which outperformed the other two models.

CONCLUSION

The present study presents a nomogram that incorporates radiomics signatures and clinical and radiological features, which could be used to predict the risk of COPD in patients with lung cancer with one-stop chest CT scanning.

The dual-targeting mechanism of an anti-inflammatory diarylheptanoid from Curcuma zedoaria (Christm.) Roscoe with the capacity for β2-adrenoreceptor agonism and NLRP3 inhibition

Chronic obstructive pulmonary disease (COPD) is a common respiratory disease characterized by symptoms of shortness of breath and chronic inflammation. Curcuma zedoaria (Christm.) Roscoe is a well-documented traditional medical herb that is frequently used in the treatment of COPD. Previously, we identified a diarylheptanoid compound (1-(4-hydroxy-5-methoxyphenyl)-7-(4,5-dihydroxyphenyl)-3,5-dihydroxyheptane; abbreviated as HMDD) from this herb that exhibited potent agonistic activity on β2-adrenergic receptors (β2 adrenoreceptor) that are present on airway smooth muscle cells. In this work, we used chemically synthesized HMDD compound, and confirmed its bioactivity on β2 adrenoreceptors. Then by a proteomics study and anti-inflammatory evaluation detections, we found that HMDD downregulated the nucleotide-binding oligomerization domain (NOD)-like receptor (NLR) signaling pathway and suppressed the NLRP3 receptor expression in RAW264.7 macrophages and in a COPD model in A549 lung carcinoma cells. HMDD also decreased nitric oxide production levels, and impacted other interleukins and the phosphorylation of NF-κB and ERK pathways. We performed molecular docking of HMDD on β2 adrenoreceptor and NLRP3 protein models. This work reports the anti-inflammatory effects of HMDD and suggests a dual-targeting mechanism of β2-adrenoreceptor agonism and NLRP3 inhibition. Such a mechanism scientifically supports the clinical uses of Curcuma zedoaria (Christm.) Roscoe in treating COPD, as it can simultaneously relieve persistent breathlessness and inflammation. HMDD can be considered as a potential non-steroidal anti-inflammatory drug in novel therapy design for the treatment of COPD and other inflammatory diseases.

Extracellular vesicles from subjects with COPD modulate cancer initiating cells phenotype through HIF-1α shuttling

Chronic obstructive pulmonary disease (COPD) is a risk factor for lung cancer development. COPD induces activation of hypoxia-induced signaling, causing remodeling of surrounding microenvironmental cells also modulating the release and cargo of their extracellular vesicles (EVs). We aimed to evaluate the potential role of circulating EVs from COPD subjects in lung cancer onset. Plasma-EVs were isolated by ultracentrifugation from heavy smoker volunteers with (COPD-EVs) or without (heavy smoker-EVs, HS-EV) COPD and characterized following MISEV guidelines. Immortalized human bronchial epithelial cells (CDK4, hTERT-HBEC3-KT), genetically modified with different oncogenic alterations commonly found in lung cancer (sh-p53, KRASV12), were used to test plasma-EVs pro-tumorigenic activity in vitro. COPD-EVs mainly derived from immune and endothelial cells. COPD-EVs selectively increased the subset of CD133+CXCR4+ metastasis initiating cells (MICs) in HBEC-sh-p53-KRASV12high cells and stimulated 3D growth, migration/invasion, and acquisition of mesenchymal traits. These effects were not observed in HBEC cells bearing single oncogenic mutation (sh-p53 or KRASV12). Mechanistically, hypoxia-inducible factor 1-alpha (HIF-1α) transferred from COPD-EVs triggers CXCR4 pathway activation that in turn mediates MICs expansion and acquisition of pro-tumorigenic effects. Indeed, HIF-1α inhibition or CXCR4 silencing prevented the acquisition of malignant traits induced by COPD-EVs alone. Hypoxia recapitulates the effects observed with COPD-EVs in HBEC-sh-p53-KRASV12high cells. Notably, higher levels of HIF-1α were observed in EVs from COPD subjects who subsequently developed cancer compared to those who remained cancer-free. Our findings support a role of COPD-EVs to promote the expansion of MICs in premalignant epithelial cells through HIF-1α-CXCR4 axis activation thereby potentially sustaining lung cancer progression.

Baseline whole-lung CT features deriving from deep learning and radiomics: prediction of benign and malignant pulmonary ground-glass nodules

Objective

To develop and validate the model for predicting benign and malignant ground-glass nodules (GGNs) based on the whole-lung baseline CT features deriving from deep learning and radiomics.

Methods

This retrospective study included 385 GGNs from 3 hospitals, confirmed by pathology. We used 239 GGNs from Hospital 1 as the training and internal validation set; 115 and 31 GGNs from Hospital 2 and Hospital 3 as the external test sets 1 and 2, respectively. An additional 32 stable GGNs from Hospital 3 with more than five years of follow-up were used as the external test set 3. We evaluated clinical and morphological features of GGNs at baseline chest CT and extracted the whole-lung radiomics features simultaneously. Besides, baseline whole-lung CT image features are further assisted and extracted using the convolutional neural network. We used the back-propagation neural network to construct five prediction models based on different collocations of the features used for training. The area under the receiver operator characteristic curve (AUC) was used to compare the prediction performance among the five models. The Delong test was used to compare the differences in AUC between models pairwise.

Results

The model integrated clinical-morphological features, whole-lung radiomic features, and whole-lung image features (CMRI) performed best among the five models, and achieved the highest AUC in the internal validation set, external test set 1, and external test set 2, which were 0.886 (95% CI: 0.841-0.921), 0.830 (95%CI: 0.749-0.893) and 0.879 (95%CI: 0.712-0.968), respectively. In the above three sets, the differences in AUC between the CMRI model and other models were significant (all P < 0.05). Moreover, the accuracy of the CMRI model in the external test set 3 was 96.88%.

Conclusion

The baseline whole-lung CT features were feasible to predict the benign and malignant of GGNs, which is helpful for more refined management of GGNs.

Circulating miR-206 and miR-1246 as Markers in the Early Diagnosis of Lung Cancer in Patients with Chronic Obstructive Pulmonary Disease

Lung cancer (LC) is the most common cause of cancer death, with 75% of cases being diagnosed in late stages. This study aimed to determine potential miRNAs as biomarkers for the early detection of LC in chronic obstructive pulmonary disease (COPD) cases. Ninety-nine patients were included, with registered clinical and lung function parameters followed for 6 years. miRNAs were determined in 16 serum samples from COPD patients (four with LC and four controls) by next generation sequencing (NGS) at LC diagnosis and 3 years before. The validation by qPCR was performed in 33 COPD-LC patients and 66 controls at the two time points. Over 170 miRNAs (≥10 TPM) were identified; among these, miR-224-5p, miR-206, miR-194-5p, and miR-1246 were significantly dysregulated (p < 0.001) in COPD-LC 3 years before LC diagnosis when compared to the controls. The validation showed that miR-1246 and miR-206 were differentially expressed in COPD patients who developed LC three years before (p = 0.035 and p = 0.028, respectively). The in silico enrichment analysis showed miR-1246 and miR-206 to be linked to gene mediators in various signaling pathways related to cancer. Our study demonstrated that miR-1246 and miR-206 have potential value as non-invasive biomarkers of early LC detection in COPD patients who could benefit from screening programs.

The Lung Microbiome in COPD and Lung Cancer: Exploring the Potential of Metal-Based Drugs

Chronic obstructive pulmonary disease (COPD) and lung cancer 17 are two of the most prevalent and debilitating respiratory diseases worldwide, both associated with high morbidity and mortality rates. As major global health concerns, they impose a substantial burden on patients, healthcare systems, and society at large. Despite their distinct aetiologies, lung cancer and COPD share common risk factors, clinical features, and pathological pathways, which have spurred increasing research interest in their co-occurrence. One area of particular interest is the role of the lung microbiome in the development and progression of these diseases, including the transition from COPD to lung cancer. Exploring novel therapeutic strategies, such as metal-based drugs, offers a potential avenue for targeting the microbiome in these diseases to improve patient outcomes. This review aims to provide an overview of the current understanding of the lung microbiome, with a particular emphasis on COPD and lung cancer, and to discuss the potential of metal-based drugs as a therapeutic strategy for these conditions, specifically concerning targeting the microbiome.

The Health Status of the US Veterans: A Longitudinal Analysis of Surveillance Data Prior to and during the COVID-19 Pandemic

Chronic diseases affect a disproportionate number of United States (US) veterans, causing significant long-term health issues and affecting entitlement spending. This longitudinal study examined the health status of US veterans as compared to non-veterans pre- and post-COVID-19, utilizing the annual Center for Disease Control and Prevention (CDC) behavioral risk factor surveillance system (BRFSS) survey data. Age-adjusted descriptive point estimates were generated independently for 2003 through 2021, while complex weighted panel data were generated from 2011 and onward. General linear modeling revealed that the average US veteran reports a higher prevalence of disease conditions except for mental health disorders when compared to a non-veteran. These findings were consistent with both pre- and post-COVID-19; however, both groups reported a higher prevalence of mental health issues during the pandemic years. The findings suggest that there have been no improvements in reducing veteran comorbidities to non-veteran levels and that COVID-19 adversely affected the mental health of both populations.

Perinodular Parenchymal Features Improve Indeterminate Lung Nodule Classification

BACKGROUND

Radiomics, defined as quantitative features extracted from images, provide a non-invasive means of assessing malignant versus benign pulmonary nodules. In this study, we evaluate the consistency with which perinodular radiomics extracted from low-dose computed tomography images serve to identify malignant pulmonary nodules.

MATERIALS AND METHODS

Using the National Lung Screening Trial (NLST), we selected individuals with pulmonary nodules between 4mm to 20mm in diameter. Nodules were segmented to generate four distinct datasets; 1) a Tumor dataset containing tumor-specific features, 2) a 10 mm Band dataset containing parenchymal features between the segmented nodule boundary and 10mm out from the boundary, 3) a 15mm Band dataset, and 4) a Tumor Size dataset containing the maximum nodule diameter. Models to predict malignancy were constructed using support-vector machine (SVM), random forest (RF), and least absolute shrinkage and selection operator (LASSO) approaches. Ten-fold cross validation with 10 repetitions per fold was used to evaluate the performance of each approach applied to each dataset.

RESULTS

With respect to the RF, the Tumor, 10mm Band, and 15mm Band datasets achieved areas under the receiver-operator curve (AUC) of 84.44%, 84.09%, and 81.57%, respectively. Significant differences in performance were observed between the Tumor and 15mm Band datasets (adj. p-value <0.001). However, when combining tumor-specific features with perinodular features, the 10mm Band + Tumor and 15mm Band + Tumor datasets (AUC 87.87% and 86.75%, respectively) performed significantly better than the Tumor Size dataset (66.76%) or the Tumor dataset. Similarly, the AUCs from the SVM and LASSO were 84.71% and 88.91%, respectively, for the 10mm Band + Tumor.

CONCLUSIONS

The combined 10mm Band + Tumor dataset improved the differentiation between benign and malignant lung nodules compared to the Tumor datasets across all methodologies. This demonstrates that parenchymal features capture novel diagnostic information beyond that present in the nodule itself. (data agreement: NLST-163).

Common variants of pro-inflammatory gene IL1B and interactions with PPP1R13L and POLR1G in relation to lung cancer among Northeast Chinese

Lung cancer is a complex disease influenced by a variety of genetic and environmental factors. The cytokine interleukin 1 encoded by IL1B is an important mediator of the inflammatory response, and is involved in a variety of cellular activities. The effect of single nucleotide polymorphisms (SNP) at IL1B has been investigated in relation to cancer with inconsistent results. This Northeastern-Chinese case-control study involving 627 cases and 633 controls evaluated the role of three haplotype-tagging single nucleotide polymorphisms (htSNP) (rs1143633, rs3136558 and rs1143630) representing 95% of the common haplotype diversity across the IL1B gene and assessed interactions with IL1B, PPP1R13L, POLR1G and smoking duration in relation to lung cancer risk. The analyses of five genetic models showed associations with lung cancer risk for rs1143633 in the dominant model [adjusted-OR (95% CI) = 0.67 (0.52-0.85), P = 0.0012] and rs3136558 in the recessive model [adjusted-OR (95% CI) = 1.44 (1.05-1.98), P = 0.025]. Haplotype4 was associated with increased lung cancer risk [adjusted-OR (95% CI) = 1.55 (1.07-2.24), P = 0.021]. The variant G-allele of rs1143633 was protective in smoking sub-group of > 20 years. Using multifactor dimensionality reduction (MDR) analyses, we identified the three best candidate models of interactions and smoking-duration or IL1B rs1143633 as main effect. In conclusion, our findings suggest that IL1B SNP rs1143633 may associate with lower risk of lung cancer, confirming previously identified marker; IL1B SNP rs3136558 and haplotype4 consisting of IL1B htSNPs may associate with increasing risk of lung cancer; interactions of IL1B with POLR1G or PPP1R13L or smoking-duration, which is independent or combined, may involve in risk of lung cancer and lung squamous cell carcinoma.

De novo discovery of traits co-occurring with chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) is a heterogeneous group of chronic lung conditions. Genome-wide association studies have identified single-nucleotide polymorphisms (SNPs) associated with COPD and the co-occurring conditions, suggesting common biological mechanisms underlying COPD and these co-occurring conditions. To identify them, we have integrated information across different biological levels (i.e., genetic variants, lung-specific 3D genome structure, gene expression and protein-protein interactions) to build lung-specific gene regulatory and protein-protein interaction networks. We have queried these networks using disease-associated SNPs for COPD, unipolar depression and coronary artery disease. COPD-associated SNPs can control genes involved in the regulation of lung or pulmonary function, asthma, brain region volumes, cortical surface area, depressed affect, neuroticism, Parkinson's disease, white matter microstructure and smoking behaviour. We describe the regulatory connections, genes and biochemical pathways that underlay these co-occurring trait-SNP-gene associations. Collectively, our findings provide new avenues for the investigation of the underlying biology and diverse clinical presentations of COPD. In so doing, we identify a collection of genetic variants and genes that may aid COPD patient stratification and treatment.