Development Of Lung Cancer Research Articles

MicroRNA Monitoring in Human Alveolar Macrophages from Patients with Smoking-Related Lung Diseases: A Preliminary Study

Chronic obstructive pulmonary disease (COPD) is a progressive lung disease that is commonly considered to be a potent driver of non-small cell lung cancer (NSCLC) development and related mortality. A growing body of evidence supports a role of the immune system, mainly played by alveolar macrophages (AMs), in key axes regulating the development of COPD or NSCLC phenotypes in response to harmful agents. MicroRNAs (miRNAs) are small non-coding RNAs that influence most biological processes and interfere with several regulatory pathways. The purpose of this study was to assess miRNA expression patterns in patients with COPD, NSCLC, and ever- or never-smoker controls to explore their involvement in smoking-related diseases. Bronchoalveolar lavage (BAL) specimens were collected from a prospective cohort of 43 sex-matched subjects to determine the expressions of hsa-miR-223-5p, 16-5p, 20a-5p, -17-5p, 34a-5p and 106a-5p by RT-PCR. In addition, a bioinformatic analysis of miRNA target genes linked to cancer was performed. Distinct and common miRNA expression levels were identified in each pathological group, suggesting their possible role as an index of NSCLC or COPD microenvironment. Moreover, we identified miRNA targets linked to carcinogenesis using in silico analysis. In conclusion, this study identified miRNA signatures in AMs, allowing us to understand the molecular mechanisms underlying smoking-related conditions and potentially providing new insights for diagnosis or pharmacological treatment.

Microbes for lung cancer detection: feasibility and limitations

As the second most common cancer in the world, the development of lung cancer is closely related to factors such as heredity, environmental exposure, and lung microenvironment, etc. Early screening and diagnosis of lung cancer can be helpful for the treatment of patients. Currently, CT screening and histopathologic biopsy are widely used in the clinical detection of lung cancer, but they have many disadvantages such as false positives and invasive operations. Microbes are another genome of the human body, which has recently been shown to be closely related to chronic inflammatory, metabolic processes in the host. At the same time, they are important players in cancer development, progression, treatment, and prognosis. The use of microbes for cancer therapy has been extensively studied, however, the diagnostic role of microbes is still unclear. This review aims to summarize recent research on using microbes for lung cancer detection and present the current shortcomings of microbes in collection and detection. Finally, it also looks ahead to the clinical benefits that may accrue to patients in the future about screening and early detection.

Tuberculous pleural effusion-induced Arg-1+ macrophage polarization contributes to lung cancer progression via autophagy signaling

BackgroundThe association between tuberculous fibrosis and lung cancer development has been reported by some epidemiological and experimental studies; however, its underlying mechanisms remain unclear, and the role of macrophage (MФ) polarization in cancer progression is unknown. The aim of the present study was to investigate the role of M2 Arg-1+ MФ in tuberculous pleurisy-assisted tumorigenicity in vitro and in vivo.MethodsThe interactions between tuberculous pleural effusion (TPE)-induced M2 Arg-1+ MФ and A549 lung cancer cells were evaluated. A murine model injected with cancer cells 2 weeks after Mycobacterium bovis bacillus Calmette–Guérin pleural infection was used to validate the involvement of tuberculous fibrosis to tumor invasion.ResultsIncreased CXCL9 and CXCL10 levels of TPE induced M2 Arg-1+ MФ polarization of murine bone marrow-derived MФ. TPE-induced M2 Arg-1+ MФ polarization facilitated lung cancer proliferation via autophagy signaling and E-cadherin signaling in vitro. An inhibitor of arginase-1 targeting M2 Arg-1+ MФ both in vitro and in vivo significantly reduced tuberculous fibrosis-induced metastatic potential of lung cancer and decreased autophagy signaling and E-cadherin expression.ConclusionTuberculous pleural fibrosis induces M2 Arg-1+ polarization, and M2 Arg-1+ MФ contribute to lung cancer metastasis via autophagy and E-cadherin signaling. Therefore, M2 Arg-1+ tumor associated MФ may be a novel therapeutic target for tuberculous fibrosis-induced lung cancer progression.

Advances in systemic immune inflammatory indices in non-small cell lung cancer: A review.

Lung cancer is one of the most prevalent cancers globally, with non-small cell lung cancers constituting the majority. These cancers have a high incidence and mortality rate. In recent years, a growing body of research has demonstrated the intricate link between inflammation and cancer, highlighting that inflammation and cancer are inextricably linked and that inflammation plays a pivotal role in cancer development, progression, and prognosis of cancer. The Systemic Immunoinflammatory Index (SII), comprising neutrophil, lymphocyte, and platelet counts, is a more comprehensive indicator of the host's systemic inflammation and immune status than a single inflammatory index. It is widely used in clinical practice due to its cost-effectiveness, simplicity, noninvasiveness, and ease of acquisition. This paper reviews the impact of SII on the development, progression, and prognosis of non-small cell lung cancer.

TCF19 promotes cell proliferation and tumor formation in lung cancer by activating the Raf/MEK/ERK signaling pathway

ObjectiveThis study aimed to investigate TCF19′s role in lung cancer development, specifically its involvement in the RAF/MEK/ERK signaling pathway. MethodsLung cancer tissue analysis revealed significant TCF19 overexpression. In vitro experiments using A549 and Hop62 cells with TCF19 overexpression demonstrated enhanced cell growth. Transgenic mouse models confirmed TCF19′s role in primary tumor development. Transcriptome sequencing identified altered gene expression profiles, linking TCF19 to RAF/MEK/ERK pathway activation. Functional assays elucidated underlying mechanisms, revealing increased phosphorylation of Raf1, MEK1/2, and ERK1/2. Inhibiting RAF1 or ERK through shRaf1 or ERK inhibitor reduced cell cycle-related proteins and inhibited TCF19-overexpressing cell growth. ResultsTCF19 was identified as an oncogene in lung carcinoma, specifically impacting the RAF/MEK/ERK pathway. Elevated TCF19 levels in lung cancer suggest targeting TCF19 or its associated pathways as a promising strategy for disease management. ConclusionThis study unveils TCF19′s oncogenic role in lung cancer, emphasizing its modulation of the RAF/MEK/ERK pathway and presenting a potential therapeutic target for TCF19-overexpressing lung cancers.

Abstract PO4-11-08: Risk of second malignancies in breast cancer patients. A population-based retrospective cohort study between 2010-2020

Abstract Introduction: Breast cancer survivors live longer due to early detection programs and therapeutic advances. Staging and molecular classification are important for prognosis and treatment. At the same time these patients are at increased risk for second primary cancers. Comprehensive evaluation of second cancer risk among patients treated in recent decade with early detection and prevention programs of other tumors lacking. This study aims to identify, characterize and associate breast cancers with second primary malignancies based on different variables. Methods: We identified 3487 females with a first primary breast cancer between 2010 and 2020 in medical records at University Hospital of A Coruña in Spain. Over a median follow-up of 8 years, one hundred patients (2,9%) develop second cancer. According National Cancer Institute, second primary tumor (SPT) was defined as an invasive primary cancer after a first primary cancer. In our case a breast carcinoma. Second cancer risk was evaluated for all cancers (excluding ipsilateral breast carcinoma) which were diagnosed at least 12 months after primary breast tumor. We analyzed breast cancer subtype, family history and pathogenic genetic variants, tobacco use and second primary tumor type. Results: Several clinical characteristics were evaluated, including breast cancer stage, histological type and subtype. The incidence of breast cancer and SPT was increased with age with peaks in the 60’s and 70’s, respectively. Only 13% had SPT between 40-49 years. Approximately 10 women a year, in our study, developed second cancer. 52% of SPT patients had cancer family history. Pathogenic variant study was carried in 25% of women with SPT, 46% of them no mutation were found, but in 17% was detected a germline BRCA1 deleterious variant. Other pathogenic variants were founded: 4% in BRCA2, and 33% in others genes (CHEK2, MSH2, MSH6, PMS2, CDH1, FANC1 y SMAD4) Regards tobacco use, active smokers were 13% and 12% of women had been smoking years ago. Of these 13 active smokers, 10 develop lung cancer (77%) an 5 of former smokers (42%). Luminal subtype was the most common breast cancer (33% Luminal A, 34% Luminal B Her2 negative, 10% Luminal B Her2 positive, 4% Her2-enriched, 10% Triple negative and 3% carcinoma in situ with estrogen and progesterone expression) and stage I and II were most frequent (80%). The most usual second primary neoplasms were lung, colorectal and pancreatic carcinoma (21%, 17% and 7% respectively), and only 2% contralateral breast cancer, with an average of approximately 4 years between breast cancer and the SPT. In 11% of patients were found more than 2 tumors. At the time of the analysis, 73% of these patients are free of disease. In SPT study population few recurrences were described, 2 relapses of breast cancer and 9 of SPT. The median between breast cancer diagnosis and the SPT diagnosis was 54 months [0,7 – 129]. The median to relapse of breast cancer was 73 months [68 – 77]. The median between SPT diagnosis and relapse was 39,25 months [1 - 134]. STP recurrences were observed in colorectal and lung cancer, mainly. Data on recurrences and mutations were not significative. Conclusion: In our breast cancer population the incidence of second primary tumors is around 3% over a 10 – year period. The diagnosis of the SPT arises several years after breast cancer and generally has a worse prognosis. Elevated risks of second cancer among breast cancer survivors treated in recent decade suggests that heightened surveillance is warranted and continued efforts to reduce second cancers are needed. It is mandatory make an effort and focusing in recommendations and advise about tobacco consumption, healthy lifestyle and adherence to Pap test and stool test in survivors. Citation Format: Guadalupe Rama, Maria-Eva Perez-Lopez, Silvia Antolin Novoa, Cristina Reboredo, Beatriz Alonso, Sofia Silva Diaz, Begoña Graña, Lourdes Calvo, Tomas Garcia-Caballero. Risk of second malignancies in breast cancer patients. A population-based retrospective cohort study between 2010-2020 [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-11-08.

Impaired lung function and lung cancer risk in 461 183 healthy individuals: a cohort study

BackgroundIt has been known that smoking and various lung diseases including lung cancer can cause lung function impairment. However, the impact of different types of lung function impairments, such as...

CD47-mediated immune evasion in early-stage lung cancer progression

Alveolar and interstitial macrophages play crucial roles in eradicating pathogens and transformed cells in the lungs. The immune checkpoint CD47, found on normal and malignant cells, interacts with the SIRPα ligand on macrophages, inhibiting phagocytosis, antigen presentation, and promoting immune evasion. In this study, we demonstrated that CD47 is not only a transmembrane protein, but that it is also highly concentrated in extracellular vesicles from lung cancer cell lines and patient plasma. Abundant CD47 was observed in the cytoplasm of lung cancer cells, aligning with our finding that it was packed into extracellular vesicles for physiological and pathological functions. In our clinical cohort, extracellular vesicle CD47 was significantly higher in the patients with early-stage lung cancer, emphasizing innate immunity inactivation in early tumor progression. To validate our hypothesis, we established an orthotopic xenograft model mimicking lung cancer development, which showed increased serum soluble CD47 and elevated IL-10/TNF-α ratio, indicating an immune-suppressive tumor microenvironment. CD47 expression led to reduced tumor-infiltrating macrophages during progression, while there was a post-xenograft increase in tumor-associated macrophages. In conclusion, CD47 is pivotal in early lung cancer progression, with soluble CD47 emerging as a key pathological effector.

Computational Analysis and NGS for Human LDHC Complexed with NAD+ and Ethylamino Acetic Acid (Lung Cancer)

Abstract: This study presents a multidimensional exploration of the structural and functional characteristics of the human Lactate Dehydrogenase C (LDHC) complexed with NAD+ and ethylamino acetic acid (EAA), focusing on its implications in lung cancer. Leveraging data from the Protein Data Bank (PDB) and Molecular Modeling Database (MMDB), a comprehensive analysis was conducted using various computational tools and resources. Structural insights were gained through PDBsum and RasMol, elucidating molecular interactions and identifying potential drug-target sites. Sequence analysis via BLAST and Multiple Sequence Alignment provided further understanding of conserved sequences and structural motifs. Visualization and manipulation of molecular structures were facilitated by PyMOL, enabling the identification of active drug-target sites. Proteinligand docking studies using the CB-Dock2 server assessed the efficiency of LDHC complexation with NAD+. Structural validation through the SAVES server ensured the reliability of the complex structure. Additionally, biological network analysis using the STRING database revealed associations with gene ontology and structural classification of the protein, offering insights into targeted interventions in the ancestry of the protein. This comprehensive approach provides valuable insights into LDHC's role in cancer biology and offers promising avenues for therapeutic development in lung cancer.

The Biological Role of Macrophage in Lung and Its Implications in Lung Cancer Immunotherapy.

The lungs are the largest surface of the body and the most important organ in the respiratory system, which are constantly exposed to the external environment. Tissue Resident Macrophages in lung constitutes the important defense against external pathogens. Macrophages connects the innate and adaptive immune system, and also plays important roles in carcinogenesis and cancer immunotherapy. Lung cancer is the leading cause of cancer-related death worldwide, with an overall five-year survival rate of only 21%. Macrophages that infiltrate or aggregate in lung tumor microenvironment are defined as tumor-associated macrophages (TAMs). TAMs are the main components of immune cells in the lung tumor microenvironment. The differentiation and maturation process of TAMs can be roughly divided into two different types: classical activation pathway produces M1 tumor-associated macrophages, and bypass activation pathway produces M2 tumor-associated macrophages. Studies have found that TAMs are related to tumor invasion, metastasis, and treatment resistance, and show potential as a new target for tumor immunotherapy. Therefore, the biological function of macrophages in lung and the role of TAMs in the occurrence, development, and treatment of lung cancer are discussed in this paper.

P108 Filgotinib for Rheumatoid Arthritis: an observational cohort to assess clinical effectiveness in a single centre

Abstract Background/Aims Filgotinib, a Janus-kinase (JAK) 1 preferential inhibitor, was approved for use in the UK in moderate or severe rheumatoid arthritis (RA) in 2021, as monotherapy or in combination with Methotrexate. Evidence of real-world effectiveness is currently limited. Methods Patients prescribed Filgotinib between December 2021 and August 2022 in NHS Lothian were identified from pharmacy registration data. All underwent clinical efficacy assessment at three months. Electronic patient records (EPR) were reviewed to record baseline data including previous and current treatments. Duration of Filgotinib treatment was recorded, and discontinuation reason if applicable. DAS-28 scores within six months prior to starting Filgotinib were recorded, along with available subsequent scores. Pre-existing interstitial lung disease (ILD), venous thromboembolism (VTE), major adverse cardiovascular events (MACE) and malignancy were recorded, along with incident events during treatment. Results 145 patients were prescribed Filgotinib; 106 (73.1%) females and 39 (26.9%) males, with median age 64 years. Median treatment duration was 447 days. 35 (24.1%) were treated with the reduced 100mg dose. 81 (55.9%) received conventional disease-modifying anti-rheumatic drugs (DMARDs) alongside Filgotinib. 41 (28.3%) patients discontinued treatment: 10 (6.9%) due to loss of effect; 16 (11.0%) due to lack of efficacy; six (4.1%) experienced side effects leading to cessation; five (3.4%) stopped for alternative reasons; one (0.7%) experienced a severe allergic drug reaction; three (2.1%) developed lung cancer and treatment was stopped in each case. 12 (8.3%) patients had ILD prior to treatment. 10 (6.9%) had prior major cardiovascular events, eight (5.5%) had previously treated malignancy, and six (4.1%) had previous VTE. During treatment, 1 (0.7%) patient developed ILD and two (1.4%) developed VTE. There were three (2.1%) new malignancies, all lung cancer. No new MACE occurred. 120 (82.8%) patients were previously treated with biologic or targeted synthetic DMARDs. 59 (40.7%) had failed multiple biologic DMARDs of different classes. 19 (13.1%) switched to Filgotinib from another JAK inhibitor. Pre-treatment DAS-28 scores were recorded in 55 (37.9%) patients with mean 5.1, and during treatment in 44 patients (30.3%) with mean 3.5. 17 (11.7%) patients had DAS-28 recorded both before and during treatment, with pre-treatment mean 5.0 and subsequent mean 2.9. Of these, 10 (58.8%) were classified as a good response by EULAR disease activity criteria, and four (23.5%) as a moderate response. Three (17.6%) were non-responders. Conclusion Our cohort includes 40.7% difficult-to-treat RA. Drug survival as a clinical efficacy surrogate was 71.7% at median duration 447 days, demonstrating patient acceptability and clinical effectiveness. Our service is poor at DAS-28 recording in the EPR, which may partly reflect imaging use at response assessment. Since this cohort was established, the European Medicines Agency has issued guidance advising caution using JAK inhibitors in high-risk groups to minimise the chance of serious side effects. Disclosure C.D. Box: None. S. Ramsay: None. N.D. McKay: Other; N.D.M. has received funding for conference registrations from Abbvie, UCB and Novartis, fees for lecturing from Gilead, and has taken part in advisory board meetings for UCB and Gilead.

Lymphangioleiomyomatosis as a potent lung cancer risk factor: Insights from a Japanese large cohort study.

Lymphangioleiomyomatosis (LAM) is a rare neoplastic disease associated with the functional tumour suppressor genes TSC1 and TSC2 and causes structural destruction in the lungs, which could potentially increase the risk of lung cancer. However, this relationship remains unclear because of the rarity of the disease. We investigated the relative risk of developing lung cancer among patients diagnosed with LAM between 2001 and 2022 at a single high-volume centre in Japan, using data from the Japanese Cancer Registry as the reference population. Next-generation sequencing (NGS) was performed in cases where tumour samples were available. Among 642 patients diagnosed with LAM (sporadic LAM, n = 557; tuberous sclerosis complex-LAM, n = 80; unclassified, n = 5), 13 (2.2%) were diagnosed with lung cancer during a median follow-up period of 5.13 years. All patients were female, 61.5% were never smokers, and the median age at lung cancer diagnosis was 53 years. Eight patients developed lung cancer after LAM diagnosis. The estimated incidence of lung cancer was 301.4 cases per 100,000 person-years, and the standardized incidence ratio was 13.6 (95% confidence interval, 6.2-21.0; p = 0.0008). Actionable genetic alterations were identified in 38.5% of the patients (EGFR: 3, ALK: 1 and ERBB2: 1). No findings suggested loss of TSC gene function in the two patients analysed by NGS. Our study revealed that patients diagnosed with LAM had a significantly increased risk of lung cancer. Further research is warranted to clarify the carcinogenesis of lung cancer in patients with LAM.

A nested case-control study of untargeted plasma metabolomics and lung cancer among never-smoking women within the prospective Shanghai Women's Health Study.

The etiology of lung cancer in never-smokers remains elusive, despite 15% of lung cancer cases in men and 53% in women worldwide being unrelated to smoking. Here, we aimed to enhance our understanding of lung cancer pathogenesis among never-smokers using untargeted metabolomics. This nested case-control study included 395 never-smoking women who developed lung cancer and 395 matched never-smoking cancer-free women from the prospective Shanghai Women's Health Study with 15,353 metabolic features quantified in pre-diagnostic plasma using liquid chromatography high-resolution mass spectrometry. Recognizing that metabolites often correlate and seldom act independently in biological processes, we utilized a weighted correlation network analysis to agnostically construct 28 network modules of correlated metabolites. Using conditional logistic regression models, we assessed the associations for both metabolic network modules and individual metabolic features with lung cancer, accounting for multiple testing using a false discovery rate (FDR) < 0.20. We identified a network module of 121 features inversely associated with all lung cancer (p = .001, FDR = 0.028) and lung adenocarcinoma (p = .002, FDR = 0.056), where lyso-glycerophospholipids played a key role driving these associations. Another module of 440 features was inversely associated with lung adenocarcinoma (p = .014, FDR = 0.196). Individual metabolites within these network modules were enriched in biological pathways linked to oxidative stress, and energy metabolism. These pathways have been implicated in previous metabolomics studies involving populations exposed to known lung cancer risk factors such as traffic-related air pollution and polycyclic aromatic hydrocarbons. Our results suggest that untargeted plasma metabolomics could provide novel insights into the etiology and risk factors of lung cancer among never-smokers.

Genetic correlation and causal associations between psychiatric disorders and lung cancer risk

BackgroundPatients with certain psychiatric disorders have increased lung cancer incidence. However, establishing a causal relationship through traditional epidemiological methods poses challenges. MethodsAvailable summary statistics of genome-wide association studies of cigarette smoking, lung cancer, and eight psychiatric disorders, including attention deficit/hyperactivity disorder (ADHD), autism, depression, major depressive disorder, bipolar disorder, insomnia, neuroticism, and schizophrenia (range N: 46,350-1,331,010) were leveraged to estimate genetic correlations using Linkage Disequilibrium Score Regression and assess causal effect of each psychiatric disorder on lung cancer using two-sample Mendelian randomization (MR) models, comprising inverse-variance weighted (IVW), weighted median, MR-Egger, pleiotropy residual sum and outlier testing (MR-PRESSO), and a constrained maximum likelihood approach (cML-MR). ResultsSignificant positive correlations were observed between each psychiatric disorder and both smoking and lung cancer (all FDR < 0.05), except for the correlation between autism and lung cancer. Both univariable and the cML-MA MR analyses demonstrated that liability to schizophrenia, depression, ADHD, or insomnia was associated with an increased risk of overall lung cancer. Genetic liability to insomnia was linked specifically to squamous cell carcinoma (SCC), while genetic liability to ADHD was associated with an elevated risk of both SCC and small cell lung cancer (all P < 0.05). The later was further supported by multivariable MR analyses, which accounted for smoking. LimitationsParticipants were constrained to European ancestry populations. Causal estimates from binary psychiatric disorders may be biased. ConclusionOur findings suggest appropriate management of several psychiatric disorders, particularly ADHD, may potentially reduce the risk of developing lung cancer.

Identifying the Multitarget Pharmacological Mechanism of Action of Genistein on Lung Cancer by Integrating Network Pharmacology and Molecular Dynamic Simulation.

Food supplements have become beneficial as adjuvant therapies for many chronic disorders, including cancer. Genistein, a natural isoflavone enriched in soybeans, has gained potential interest as an anticancer agent for various cancers, primarily by modulating apoptosis, the cell cycle, and angiogenesis and inhibiting metastasis. However, in lung cancer, the exact impact and mechanism of action of genistein still require clarification. To provide more insight into the mechanism of action of genistein, network pharmacology was employed to identify the key targets and their roles in lung cancer pathogenesis. Based on the degree score, the hub genes AKT1, CASP3, EGFR, STAT3, ESR1, SRC, PTGS2, MMP9, PRAG, and AR were significantly correlated with genistein treatment. AKT1, EGFR, and STAT3 were enriched in the non-small cell lung cancer (NSCLC) pathway according to Kyoto Encyclopedia of Genes and Genomes analysis, indicating a significant connection to lung cancer development. Moreover, the binding affinity of genistein to NSCLC target proteins was further verified by molecular docking and molecular dynamics simulations. Genistein exhibited potential binding to AKT1, which is involved in apoptosis, cell migration, and metastasis, thus holding promise for modulating AKT1 function. Therefore, this study aimed to investigate the mechanism of action of genistein and its therapeutic potential for the treatment of NSCLC.

Lung cancer in older patients with granulomatosis with polyangiitis: a report of three cases

BackgroundGranulomatosis with polyangiitis (GPA) is characterized by necrotizing granulomatous inflammation with necrotizing vasculitis predominantly affecting small to medium vessels. The survival rates have drastically improved; however, GPA can be lethal, with older patients having a worse prognosis and higher mortality than younger patients. Moreover, the incidence of various cancers has been reported to increase in patients with GPA. We aimed to discuss possible associations between GPA and lung cancer and emphasize the associated diagnostic challenges.Case presentationWe encountered three older patients with chronic GPA who developed lung cancer during long-term follow-up. Two of the patients had a smoking history, with one having silicosis and the other having chronic obstructive pulmonary disease. Furthermore, all of them had radiation exposure from repeated radiography/computed tomography. All the patients had confirmed GPA, and vasculitis relapse was first suspected when new lung lesions were noted during follow-up. However, they had no new clinical symptoms, and serum ANCA titer increased only in one patient. All the patients received standard immunosuppressive treatment but eventually died.ConclusionsLung cancer is uncommon in patients with GPA; however, the similarity between the imaging findings of lung cancer and GPA may pose a diagnostic challenge. Clinicians should be particularly vigilant when treating older patients with an increased risk of cancer, as they are often asymptomatic or have poorly apparent clinical features.

Lung Cancer Prediction and Classification Using Decision Tree and VGG16 Convolutional Neural Networks

Introduction A malignant abnormal growth that starts in the tissues of the lungs is called Lung Cancer. It ranks among the most common and lethal cancers globally. Lung Cancer is particularly dangerous because of its aggressive nature and how quickly it can extend to other areas of the body. We propose a two-step verification architecture to check the presence of Lung Cancer. The model proposed by this paper first assesses the patient based on a few questions about the patient's symptoms and medical background. Then, the algorithm determines whether the patient has a low, medium, or high risk of developing lung cancer by diagnosing the response using the “Decision Tree” classification at an accuracy of 99.67%. If the patient has a medium or high risk, we further validate the finding by examining the patient's CT scan image using the “VGG16” CNN model at an accuracy of 92.53%. Background One of the key areas of research on Lung Cancer prediction is to identify patients based on symptoms and medical history. Its subjective nature makes it challenging to apply in real-world scenarios. Another research area in this field involves forecasting the presence of cancer cells using CT scan imagery, providing high accuracy. However, it requires physician intervention and is not appropriate for early-stage prediction. Objective This research aims to forecast the severity of Lung Cancer by analyzing the patient with a few questions regarding the symptoms and past medical conditions. If the patient has a medium or a high risk, we further examine their CT scan, validate the result and also predict the type of Lung Cancer. Methodology This paper uses the “Decision Tree” algorithm and the Customised “VGG16” model of CNN for the implementation. The “Decision Tree” algorithm is used to analyze the answers given by the patient to distinguish the severity of Lung Cancer. We further use Convolution Neural Networks with a Customised “VGG16” model to examine the patient's CT scan image, validate the result and categorize the type of Lung Cancer. Results The “Decision Tree” approach for forecasting the severity of lung cancer yields an accuracy of 99.67%. The accuracy of the customized “VGG16” CNN model to indicate the type of Lung Cancer suffered by the patient is 92.53% Conclusion This research indicates that our technique provides greater accuracy than the prior approaches for this problem and has extensive use in the prognosis of Lung Cancer.

Barriers and Facilitators Impacting Lung Cancer Screening Uptake Among Black Veterans: A Qualitative Study.

Racial disparities in lung cancer screening (LCS) are well established. Black Veterans are among those at the highest risk for developing lung cancer but are less likely to complete LCS. We sought to identify barriers and facilitators to LCS uptake among Black Veterans. A qualitative study using semistructured interviews was conducted with 32 Black Veterans to assess for barriers, facilitators, and contextual factors for LCS and strategies to improve screening. Veterans were purposively sampled by age, sex, and LCS participation status (ie, patients who received a low-dose CT [LDCT], patients who contacted the screening program but did not receive an LDCT, and patients who did not connect with the screening program nor receive an LDCT). Interview guides were developed using the Theoretical Domains Framework and Health Belief Model. Data were analyzed using rapid qualitative analysis. Barriers of LCS uptake among Black Veterans include self-reported low LCS knowledge and poor memory, attention, and decision processes associated with the centralized LCS process. Facilitators of LCS uptake among Black Veterans include social/professional role; identity and social influences; perceived susceptibility, threat, and consequences due to smoking status and military or occupational exposures; emotion, behavioral regulation, and intentions; and high trust in providers. Environmental context and resources (eg, transportation) and race and racism serve as contextual factors that did not emerge as having a major impact on LCS uptake. Strategies to improve LCS uptake included increased social messaging surrounding LCS, various forms of information dissemination, LCS reminders, balanced and repeated shared decision-making discussions, and streamlined referrals. We identified addressable barriers and facilitators for LCS uptake among Black Veterans that can help focus efforts to improve disparities in screening. Future studies should explore provider perspectives and test interventions to improve equity in LCS.

Anthocyanins prevent the development and progression of urethane-induced lung cancer by regulating energy metabolism in mice.

Anthocyanin (ACN) is a natural antioxidant with multiple biological activities, and the aim of this study was to evaluate the protective effect of ACN on the development and progression of lung cancer and to further explore its possible mechanism of action. In vivo, we fed C57BL/6J mice a 0.5%ACN diet or a control diet to observe their effects on the development and progression of urethane-induced lung cancer. In vitro, multiple lung cancer cell lines were used to investigate the effects of C3G on cell viability. The results showed a reduction in lung tumor burden and downregulation of oxidative phosphorylation and fatty acid degradation pathways in lung tissue of urethane-administrated ACN-fed mice compared with control diet-fed mice. In vitro, cyanidin-3-O-glucoside chloride (C3G) intervention treatment significantly inhibited proliferation and apoptosis of A549 cells. This process is likely due to the modulation of AMPK/mTOR signaling pathway by C3G to regulate cellular fatty acid metabolism and reduce intracellular lipid accumulation which affects the growth of lung cancer cells. These results suggest that ACN can inhibit the development and progression of urethane-induced lung tumors and alter the lipid metabolism of tumors in C57BL/6J mice.

Composition of the sputum bacterial microbiome of patients with different pathomorphological forms of non-small-cell lung cancer.

Recent studies have shown that the bacterial microbiome of the respiratory tract influences the development of lung cancer. Changes in the composition of the microbiome are observed in patients with chronic inflammatory processes. Such microbiome changes may include the occurrence of bacteria that cause oxidative stress and that are capable of causing genome damage in the cells of the host organism directly and indirectly. To date, the composition of the respiratory microbiome in patients with various histological variants of lung cancer has not been studied. In the present study, we determined the taxonomic composition of the sputum microbiome of 52 patients with squamous cell carcinoma of the lung, 52 patients with lung adenocarcinoma and 52 healthy control donors, using next-generation sequencing (NGS) on the V3-V4 region of the bacterial gene encoding 16S rRNA. The sputum microbiomes of patients with different histological types of lung cancer and controls did not show significant differences in terms of the species richness index (Shannon); however, the patients differed from the controls in terms of evenness index (Pielou). The structures of bacterial communities (beta diversity) in the adenocarcinoma and squamous cell carcinoma groups were also similar; however, when analyzed according to the matrix constructed by the Bray-Curtis method, there were differences between patients with squamous cell carcinoma and healthy subjects, but not between those with adenocarcinoma and controls. Using the LEFse method it was possible to identify an increase in the content of Bacillota (Streptococcus and Bacillus) and Actinomycetota (Rothia) in the sputum of patients with squamous cell carcinoma when compared with samples from patients with adenocarcinoma. There were no differences in the content of bacteria between the samples of patients with adenocarcinoma and the control ones. The content of representatives of the genera Streptococcus, Bacillus, Peptostreptococcus (phylum Bacillota), Prevotella, Macellibacteroides (phylum Bacteroidota), Rothia (phylum Actinomycetota) and Actinobacillus (phylum Pseudomonadota) was increased in the microbiome of sputum samples from patients with squamous cell carcinoma, compared with the control. Thus, the sputum bacterial microbiome of patients with different histological types of non-small-cell lung cancer has significant differences. Further research should be devoted to the search for microbiome biomarkers of lung cancer at the level of bacterial species using whole-genome sequencing.