Smoking as a risk factor for lung cancer in women and men: a systematic review and meta-analysis

Temporal trends and risk factors associated with stroke mortality among cancer patients

BACKGROUND

This study aimed to explore the risk of stroke death (SD) in cancer patients, estimate rates, and identify risk factors associated with SD.

METHODS

In this retrospective study, we used the 17 National Cancer Institute Surveillance, Epidemiology, and End Results registries (2000-2020). A total of 5,922,533 patients diagnosed with their first primary cancer were included. The primary outcome was the standardized mortality ratio (SMR) of SD in cancer patients. Secondary outcomes included SD incidence rates and risk factors. Rates were calculated per 100,000 persons with the annual percentage change (APC).

RESULTS

Among included patients, 56,686 (2.0 %) died due to stroke. Compared to the general population, younger patients (≤39 years) (SMR: 2.31) and patients receiving no treatment (SMR: 1.36) had the highest risk. Cancer types with the fastest-declining SD rates were in the male genital (APC: -13.9 %) and breast (APC: -11.8 %). Older age (hazard ratio [HR]: 1.11, p < 0.001), male sex (HR: 1.06, p < 0.001), and non-white race (HR: 1.13, p < 0.001) were associated with increased risk of SD. Cancers of the nervous system (HR: 3.42, p < 0.001), respiratory (HR: 1.38, p < 0.001), and head and neck (HR: 1.37, p < 0.001) had higher risk of SD vs. breast cancer. Patients with primary chemotherapy (HR: 0.69, p < 0.001) and radiotherapy (HR: 0.69, p < 0.001) demonstrated less risk vs. those without treatment.

CONCLUSION

SD has declined over the years for both sexes and all cancer types. Older age, non-white race, and certain cancers (nervous system, respiratory system, and head and neck) pose significant risks for SD.

Multimorbidity: Addressing the Elephant in the Clinic Room

Multimorbidity is the conjoint presence of multiple conditions in patients, which is a public health problem. Multimorbidity is like the elephant in the clinic room because it remains the unaddressed challenge we face in healthcare. Clinical health psychology has a role to play in this undertaking because it recognizes the intersection and interface of concurrent mental and/or behavioral problems and physical diseases. The current article will define multimorbidity, describe current statistics, how it differs from comorbidity, how to use the biopsychosocial model, and ways in which clinical health psychologists can manage and prevent it in their clinics. A model of how to address multimorbidity will be shared using the role of a clinical health psychologist working in a multidisciplinary pain clinic in a hospital setting serving patients who are socioeconomically disadvantaged.

Influence of a History of Malignancy on the Long-Term Survival of Abdominal Aortic Aneurysm Patients with Indication for an Elective Repair

BACKGROUND

The elective repair of aorto-iliac aneurysms (AAAs) in patients with a cancer history is sometimes controversial. Our aim was to evaluate the relationship between the history of a solid tumor and the long-term survival of patients with an AAA within therapeutic range.

METHODS

The consecutive series of patients with an intact AAA within therapeutic range attended in a tertiary hospital (2008-2021) was evaluated. Collected variables included clinical and cancer characteristics, such as time since treatment, location, and extension. The association between cancer history and survival was evaluated with Cox models adjusted by age, sex, the Charlson comorbidity index, and aneurysm treatment.

RESULTS

The study included 416 patients (mean age 75.2 years; 92.2% male; 314 AAA electively treated). Among them, 117 had a history of a solid tumor (61 genitourinary, 30 digestive, and 22 respiratory), 54 were active or treated <6 months, 12 had metastases, and 8 were under palliative care. During follow-up, 248 (59.6%) patients died. Patients with nonadvanced urological cancer had similar survival than those without cancer, while only those with an advanced cancer (metastasis or palliative care) or a currently treated nonurological solid tumor had lower life expectancy (hazard ratio = 1.84, P = 0.04). All AAA patients, regardless their cancer history, had lower survival rates when compared with an age- and sex-matched population.

CONCLUSION

Patients with AAA have a limited life expectancy and a prior cancer history does not commonly worsen their prognosis. Patients with an advanced or a current nonurological cancer had lower survival rates, so in these cases AAA decision-making should be individualized.

Prevalence and sociodemographic determinants of anemia among ever-married women of reproductive age in Jordan: insights from the 2023 Jordan population and family health survey

BACKGROUND

Anemia, characterized by low haemoglobin levels, remains a critical public health issue, particularly among women of reproductive age. Despite global advancements in addressing anemia, it continues to be a widespread concern in Jordan. This study aims to examine the prevalence of anemia and the sociodemographic factors associated with it among ever-married women aged 15-49 in Jordan, utilizing data from the 2023 Jordan Population and Family Health Survey (JPFHS).

METHODS

This is a secondary analysis was conducted using data from the 2023 JPFHS. The survey employed a two-stage stratified cluster sampling method to collect comprehensive information on haemoglobin levels, sociodemographic characteristics, and various health-related factors. Anemia was classified into mild, moderate, and severe categories based on WHO guidelines, using hemoglobin levels obtained from capillary blood samples analyzed with portable HemoCue photometers. Multivariate logistic regression analysis was then performed to identify the independent predictors of anemia.

RESULTS

Among the 6,249 participants, the prevalence of anemia was 35.33%, with 1,089 cases of mild anemia, 1,022 moderate cases, and 96 severe cases. The highest incidence of severe and mild anemia was observed in the 45-49 age group (41.1% and 20.2%, respectively). Moderate anemia was most prevalent among women aged 35-39 (21.5%), while the highest proportion of non-anemic participants was found in the 30-34 age group (19.7%). Multivariable analysis showed that women living in northern regions had higher odds of anemia (P < 0.0001). Conversely, overweight (P = 0.03), obesity (P = 0.04), and daily smoking (P = 0.002) were associated with lower odds of anemia.

CONCLUSION

Anemia remains a moderate yet concerning public health issue in Jordan, particularly among underweight women and those in northern regions. The findings emphasize the need for targeted nutritional interventions and region-specific healthcare strategies to address anemia risk. Public health programs should focus on improving dietary intake, especially among underweight women, to mitigate anemia and enhance overall women's health outcomes.

Cancer incidence in male and female Canadian Armed Forces personnel and Veterans enrolled between 1976 and 2016: a retrospective population-based cohort study

OBJECTIVES

To describe rates of overall and type-specific primary cancers in Canadian Armed Forces (CAF) personnel and Veterans with a first enrolment in the CAF between 1976 and 2016, with comparisons to the Canadian general population (CGP).

METHODS

This retrospective cohort study linked CAF administrative data to national cancer registries. Primary cancer diagnoses were ascertained from 1976 to 2017. Using age, year and sex-specific rates from the CGP, SIRs and 95% CIs were calculated by sex for all cancers combined and specific cancer types. Subgroup analyses were conducted for service status, rank and international deployment.

RESULTS

Among 210 910 male and 34 940 female CAF personnel and Veterans, 6415 and 1620 incident primary cancer cases were observed, respectively. For cancers overall, CAF personnel and Veterans had lower or similar risk compared with the CGP. Subgroup analyses indicated lower or similar risk compared with the CGP for most cancer types but elevated risk for melanoma in male and female personnel, officers, deployers and male senior non-commissioned members (NCMs); lung and bronchus cancer in male and female junior NCMs; pancreatic cancer in male junior NCMs; testicular cancer in male officers; and cervical cancer in female junior NCMs and non-deployers.

CONCLUSION

CAF personnel and Veterans had lower or equal rates of cancer overall compared with the CGP. Elevated rates were observed for certain cancers within subgroups. Further research to examine time trends and risk factors for cancer outcomes in this population is recommended.

Current insights into the clinico-pathologic characteristics of lung cancer in women

INTRODUCTION

Lung cancer is responsible for premature cancer deaths in women and is the first cause of cancer deaths in women in many countries. The problem of lung cancer in women seems to be underestimated in many aspects, including low participation in clinical trials and screening tests.

AREAS COVERED

Current research progress has contributed to a better understanding of the issue and makes it possible to describe the problem in a new light. In our paper, the problem of lung cancer in women was discussed in a broad aspect, taking into account women's health, the harmful effects of smoking and the current diagnostic and treatment process. The results of treatment also differ in relation to sex. All these aspects of the diversity of women's lung cancer were presented on the basis of newest and most comprehensive literature.

EXPERT OPINION

Lung cancer in women is and will remain an important health problem worldwide, which is justified by epidemiological data, basic research and treatment results.

Lung cancer mortality among aircraft manufacturing workers with long-term, low-level, hexavalent chromium exposure

Hexavalent chromium (CrVI) is known to cause lung cancer among workers exposed to high concentrations in certain historical industries. It is also a toxic air contaminant considered to pose a potentially significant cancer risk at comparatively low concentrations in urban air. However, very limited data currently exist to quantify risk at low-concentration occupational or environmental exposures. This study reconstructs individual-level exposures using a job-exposure matrix (JEM) and examines mortality among 3,723 CrVI-exposed aircraft manufacturing workers, including 440 women with long-term low-level CrVI exposures and long-term follow-up. The JEM used Bayesian methods with industrial hygiene data to calculate cumulative worker exposures from 1960 to 1998. A retrospective cohort mortality study was also conducted to calculate standardized mortality ratios (SMRs) by population demographics and to conduct an internally referenced dose-response analysis. CrVI-exposed painters, electroplaters, and aircraft assembly workers, with 1 to 37 years of exposure (median: 8 years) had mean and median cumulative exposures of 16 µg/m3-yrs and 2.9 µg/m3-yrs, respectively. Based on 1,758 observed deaths, mortality from cancer overall (SMR 1.24; 95% CI 1.13-1.36), smoking-related cancers (SMR 1.31; 95% CI 1.15-1.49), and lung cancer (SMR 1.39; 95% CI 1.17-1.63) were significantly elevated and more highly elevated among women (lung cancer SMR 2.61; 95% CI:1.66-3.92). Internal analyses revealed no dose-response relationship between cumulative exposure and lung cancer mortality. Data available for 12% of CrVI-exposed workers showed smoking prevalence higher than general population norms, especially for women. The absence of a dose-response relationship with cumulative exposure suggests that elevated cancer risks are primarily smoking-related in this cohort, and possibly as a consequence, any increased risk associated with CrVI exposure is not observable. Although an association between lung cancer risk and CrVI exposure was not found, this study provides significant new observations in the low exposure range, and among women, which may be useful for quantitative risk assessment.

Video-Assisted vs. Robotic-Assisted Thoracoscopic Surgery in Lung Cancer: A Comprehensive Review of Techniques and Outcomes

Lung cancer is the primary cause of cancer-related mortality globally; hence, several medical and surgical approaches have been developed for its management. This can be easily recognized with the evolution from the traditional open thoracotomy toward minimally invasive procedures-in particular, video-assisted thoracoscopic surgery (VATS) and robotic-assisted thoracoscopic surgery (RATS)-in treating lung cancer. There has been a lot of controversy around the advantages and limitations of these procedures. VATS has been proven to be beneficial in treating early-stage lung cancer. Yet, the restricted mobility of its instruments, as well as the lack of a three-dimensional visualization of anatomical components, make the new RATS desired. RATS uses advanced technology, which has resulted in an exceptional high-definition, three-dimensional image of the working field. This has also led to fine dissection with great precision and accuracy, better lymph node removal, reduced postoperative recovery time, and better outcomes. Compared to VATS, there is less blood loss, shorter hospital stays, and less pleural effusion drainage. Despite its higher cost due to the expensive surgical systems, training and maintenance fees, and longer operative time, RATS has started to gain more use, potentially enhancing patient outcomes as experience and technological improvements progress.

The associations of obesity with demographic and lifestyle factors among Hong Kong adults

Background: Obesity is a risk factor for leading causes of death. Aim: This study investigated the associations of obesity with demographic and lifestyle factors among adults aged 18-64 in Hong Kong. Methods: The study uses data (n = 24,855) from the government online database. It uses T-tests to compare mean values for body mass index (BMI), waist circumference, and weight-to-height ratio obese; analysis of variance for not-obese, BMI-obese-only, central-obese, and BMI + central-obese; Pearson chi-square tests for categorical variables; and multinomial logistic regression to obtain the odd ratios. It uses IBM SPSS version 26 to conduct all analyses, and at a 95% confidence level. Results: The analyses show that the risks of central-obese, and BMI + central-obese increase by 4%, and 4%/year of age, respectively. Females have 60%, 38%, and 60% lower risks of BMI-obese-only, central-obese, and BMI + central-obese, respectively, and people with tertiary education have 28%, 20%, and 20% lower risks, respectively. Employed people have a 40% higher risk of BMI-obese-only when compared with the unemployed; students have a 46% lower risk of BMI + central-obese and home-makers have a 38% higher risk. The risk of central-obese decreases by 14%/10 min/day of moderate physical activity, but could be different among females, and vigorous physical activity yielded mixed results. The risk of BMI + central-obese decreases by 9%/day/week of vegetable intake. Conclusions: Obesity is associated with multiple demographic and lifestyle factors. Keep doing vigorous and moderate physical activity but state alert to obesity risk factors, and frequent vegetable intake are recommended. Lifelong learning and continuing education could be an effective strategy to combat obesity.

Binge drinking and smoking are associated with worse academic performance in Canadian undergraduate students

OBJECTIVE

Test the hypothesis that smoking, fast-food consumption, and binge drinking were negatively associated with academic performance in Canadian undergraduate students.

PARTICIPANTS

Undergraduate students across Canada [n = 411 (335♀) aged: 22 ± 4 years] completed a questionnaire regarding their lifestyle behaviors and academic grades.

METHODS

Relationships between lifestyle behaviors and academic performance were assessed via covariate-adjusted multiple regressions. Mediation models were used to test whether significant relationships between smoking/fast-food and grades were explained by binge drinking.

RESULTS

Smoking (β= -4.00, p < .001) and binge drinking (β= -1.98, p = .002) were independent predictors of grades (average: 84 ± 8%). Binge drinking partially mediated the relationships between smoking (indirect effect β= -1.19, 95%CI [-2.49, -0.08] and fast-food consumption (indirect effect: β= -.75, 95%CI [-1.20, -0.29]), with grades.

CONCLUSIONS

These findings highlight the negative influence of binge drinking, smoking, and fast-food consumption on academic success, with binge drinking as a partial mediator of these relationships.

Radiomics Analysis for the Identification of Invasive Pulmonary Subsolid Nodules From Longitudinal Presurgical CT Scans

PURPOSE

Effective identification of malignant part-solid lung nodules is crucial to eliminate risks due to therapeutic intervention or lack thereof. We aimed to develop delta radiomics and volumetric signatures, characterize changes in nodule properties over three presurgical time points, and assess the accuracy of nodule invasiveness identification when combined with immediate presurgical time point radiomics signature and clinical biomarkers.

MATERIALS AND METHODS

Cohort included 156 part-solid lung nodules with immediate presurgical CT scans and a subset of 122 nodules with scans at 3 presurgical time points. Region of interest segmentation was performed using ITK-SNAP, and feature extraction using CaPTk. Image parameter heterogeneity was mitigated at each time point using nested ComBat harmonization. For 122 nodules, delta radiomics features (ΔR AB = (R B -R A )/R A ) and delta volumes (ΔV AB = (V B -V A )/V A ) were computed between the time points. Principal Component Analysis was performed to construct immediate presurgical radiomics (Rs 1 ) and delta radiomics signatures (ΔRs 31 + ΔRs 21 + ΔRs 32 ). Identification of nodule pathology was performed using logistic regression on delta radiomics and immediate presurgical time point signatures, delta volumes (ΔV 31 + ΔV 21 + ΔV 32 ), and clinical variable (smoking status, BMI) models (train test split (2:1)).

RESULTS

In delta radiomics analysis (n= 122 nodules), the best-performing model combined immediate pre-surgical time point and delta radiomics signatures, delta volumes, and clinical factors (classification accuracy [AUC]): (77.5% [0.73]) (train); (71.6% [0.69]) (test).

CONCLUSIONS

Delta radiomics and volumes can detect changes in nodule properties over time, which are predictive of nodule invasiveness. These tools could improve conventional radiologic assessment, allow for earlier intervention for aggressive nodules, and decrease unnecessary intervention-related morbidity.

Association of Cigarette Smoking and Alcohol Drinking With Risk of 12 Common Cancers Among Low-Income American Adults in the Southeastern United States

IntroductionCigarette smoking and alcohol drinking are well-known risk factors for various cancers. We aimed to determine a comprehensive profile of cancer risk associated with these lifestyle factors in predominantly low-income Americans.MethodsWe prospectively investigated the associations between cigarette smoking, alcohol drinking, and the risk of twelve cancer types among over 74 000 low-income Black and White adults from the Southern Community Cohort Study in the United States. We used the Cox proportional hazards models to estimate the hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) for these associations.ResultsCompared to never smokers, current smokers had an increased HR for cancers of lung (HR: 14.14, 95% CI: 11.47-17.42), liver and bile duct (HR: 3.19, 95% CI: 2.40-4.25), kidney (HR: 1.47, 95% CI: 1.10-1.96), pancreas (HR: 1.88, 95% CI: 1.41-2.50), oral and pharynx (HR: 3.83, 95% CI: 2.70-5.42), and bladder (HR: 2.81, 95% CI: 1.92-4.11), and a reduced risk of prostate cancer (HR: 0.78, 95% CI: 0.68-0.89) and uterine cancer (HR: 0.45, 95% CI: 0.32-0.63); former smokers also exhibited elevated risks for cancers of lung, liver and bile duct, kidney, and bladder; however, a decreased risk for the lung, liver and bile duct, and bladder cancers was observed with longer durations of smoking cessation, with HRs from 9.71, 2.26, and 2.28 for a duration of <10 years down to 4.28, 1.58, and 1.42 for a duration of 10-19 years, respectively. Compared to never-drinkers, participants who consumed more than 2 drinks per day had increased risks of liver and bile duct cancer (HR: 1.66, 95% CI: 1.29-2.13) and oral and pharynx cancer (HR: 2.15, 95% CI: 1.58-2.91).ConclusionCigarette smoking and alcohol drinking were associated with an increased risk of multiple cancers. Our findings support efforts to control cigarette and alcohol consumption for cancer prevention in low-income U.S. populations.

Risk of Lung Cancer and Risk Factors of Lung Cancer in People Infected with Tuberculosis

This study investigated lung cancer risk in people infected with tuberculosis (TB) compared to the general population and evaluated factors associated with lung cancer in TB-infected individuals. Mandatory reported TB infection case data in Gyeonggi Province, South Korea (2010 to 2016) were obtained and linked with medical usage and health screening data from the National Health Information Database. Lung cancer incidence in patients with TB was compared to that in the general population using standardized incidence ratio (SIR), adjusted for age and sex. Lung cancer risk factors in patients with TB were studied using the Cox proportional hazards model. By April 2022, 1.26% (n = 444) of 35,140 patients developed lung cancer after TB diagnosis. Compared to the incidence in the general population, increased lung cancer risk in people with TB was observed (SIR: 2.04, 95% CI: 1.85-2.23). Multivariate analysis showed increased lung cancer in TB-infected individuals, associated with being male (hazard ratio [HR]: 2.24, 95% CI: 1.65-3.04), 1-year increase of age (HR: 1.09, 95% CI: 1.08-1.10), ever smoking (HR: 1.42, 95% CI: 1.02-1.97), and amount of daily smoking with one pack or more (HR: 2.17, 95% CI: 1.63-2.89). Increased lung cancer risk was noted in patients with TB compared to the general population, and sex, age, and smoking were factors associated with lung cancer in patients with TB.

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.

Berberine and Lung Cancer: From Pure Form to Its Nanoformulations

Lung cancer is the most fatal cancer worldwide. The etiology of lung cancer has yet to be fully characterized. Smoking and air pollution are several risk factors for lung cancer. Berberine, an isoquinoline alkaloid, is an antihyperglycemic, antidepressant, antioxidative, anti-inflammatory, and anticancer compound. Evidence substantiates that berberine has antitumor effects, exerting its effects by targeting a variety of cellular and molecular processes, such as apoptosis, autophagy, cell cycle arrest, migration, and metastasis. Although the beneficial effects of berberine have been reported, some limitations including low bioavailability and absorption as well as poor aqueous solubility have hindered its clinical application. Nanotechnology and nanodelivery bioformulation approaches may bypass these limitations. In addition, the combination of berberine with other therapies has been shown to result in greater treatment efficacy for lung cancer. Herein, we summarize cellular and molecular pathways that are affected by berberine, its clinical efficacy upon various combinations, and the potential for nanotechnology in lung cancer therapy.

Advances and perspectives in use of semisolid formulations for photodynamic methods

Although nearly 30 years have passed since the introduction of the first clinically approved photosensitizer for photodynamic therapy, progress in developing new pharmaceutical formulations remains unsatisfactory. This review highlights that despite years of research, many recurring challenges and issues remain unresolved. The paper includes an analysis of selected essential studies involving aminolevulinic acid and its derivatives, as well as other photosensitizers with potential for development as medical products. Among various possible vehicles, special attention is given to gelatin, alginates, poly(ethylene oxide), polyacrylic acid, and chitosan. The focus is particularly on infectious and cancerous diseases. Key aspects of developing new semi-solid drug forms should prioritize the creation of easily manufacturable and biocompatible preparations for clinical use. At the same time, new formulations should preserve the primary function of photosensitizers, which is the generation of reactive oxygen species capable of destroying pathogenic cells or tumors. Additionally, the use of adjuvant properties of carriers, which can enhance the effectiveness of macrocycles, is emphasized, especially in chitosan-based antibacterial formulations. Current research indicates that many promising dyes and macrocyclic compounds with high potential as photosensitizers in photodynamic therapy remain unexplored in formulation and development work. This review outlines potential new and previously explored pathways for advancing photosensitizers as active pharmaceutical ingredients (APIs).

The Microbe, the Infection Enigma, and the Host

Human infectious diseases are unique in that the discovery of their environmental trigger, the microbe, was sufficient to drive the development of extraordinarily effective principles and tools for their prevention or cure. This unique medical prowess has outpaced, and perhaps even hindered, the development of scientific progress of equal magnitude in the biological understanding of infectious diseases. Indeed, the hope kindled by the germ theory of disease was rapidly subdued by the infection enigma, in need of a host solution, when it was realized that most individuals infected with most infectious agents continue to do well. The root causes of disease and death in the unhappy few remained unclear. While canonical approaches in vitro (cellular microbiology), in vivo (animal models), and in natura (clinical studies) analyzed the consequences of infection with a microbe, considered to be the cause of disease, in cells, tissues, or organisms seen as a uniform host, alternative approaches searched for preexisting causes of disease, particularly human genetic and immunological determinants in populations of diverse individuals infected with a trigger microbe.

Association between second-hand smoke exposure and lung cancer risk in never-smokers: a systematic review and meta-analysis

BACKGROUND

Lung cancer ranks as the leading cause of cancer-related deaths worldwide. There is evidence that second-hand smoke (SHS) exposure is a risk factor for the development of lung cancer in never-smokers. This systematic review and meta-analysis aims to provide the most accurate quantification of the association between SHS exposure and lung cancer risk in never-smokers.

MATERIALS AND METHODS

Through the use of an innovative method to identify original publications, we conducted a systematic review of the literature, with corresponding meta-analysis, of all epidemiological studies evaluating the association between SHS exposure and lung cancer risk among never-smokers, published up to May 2023. Pooled relative risks were obtained using random-effects models. Dose-response relationships were derived using log-linear functions or cubic splines.

RESULTS

Out of 126 identified eligible studies, 97 original articles were included in the meta-analysis. The pooled relative risk for lung cancer for overall exposure to SHS was 1.24 (95% CI 1.16-1.32, number of articles, n=82). Setting-specific relative risks were 1.20 (95% CI 1.12-1.28, n=67) for SHS exposure at home, 1.38 (95% CI 1.28-1.62, n=30) at a workplace, 1.37 (95% CI 1.22-1.53, n=28) at home or a workplace and 1.27 (95% CI 1.11-1.44, n=24) in nonspecified settings. The risk of lung cancer significantly increased with the duration, intensity and pack-years of SHS exposure.

CONCLUSIONS

This meta-analysis shows that exposure to SHS increases by more than 20% the risk of lung cancer among never-smokers, providing definitive evidence of the association between SHS exposure and lung cancer risk.

Machine learning for automated classification of lung collagen in a urethane-induced lung injury mouse model

Dysregulation of lung tissue collagen level plays a vital role in understanding how lung diseases progress. However, traditional scoring methods rely on manual histopathological examination introducing subjectivity and inconsistency into the assessment process. These methods are further hampered by inter-observer variability, lack of quantification, and their time-consuming nature. To mitigate these drawbacks, we propose a machine learning-driven framework for automated scoring of lung collagen content. Our study begins with the collection of a lung slide image dataset from adult female mice using second harmonic generation (SHG) microscopy. In our proposed approach, first, we manually extracted features based on the 46 statistical parameters of fibrillar collagen. Subsequently, we pre-processed the images and utilized a pre-trained VGG16 model to uncover hidden features from pre-processed images. We then combined both image and statistical features to train various machine learning and deep neural network models for classification tasks. We employed advanced unsupervised techniques like K-means, principal component analysis (PCA), t-distributed stochastic neighbour embedding (t-SNE), and uniform manifold approximation and projection (UMAP) to conduct thorough image analysis for lung collagen content. Also, the evaluation of the trained models using the collagen data includes both binary and multi-label classification to predict lung cancer in a urethane-induced mouse model. Experimental validation of our proposed approach demonstrates promising results. We obtained an average accuracy of 83% and an area under the receiver operating characteristic curve (ROC AUC) values of 0.96 through the use of a support vector machine (SVM) model for binary categorization tasks. For multi-label classification tasks, to quantify the structural alteration of collagen, we attained an average accuracy of 73% and ROC AUC values of 1.0, 0.38, 0.95, and 0.86 for control, baseline, treatment_1, and treatment_2 groups, respectively. Our findings provide significant potential for enhancing diagnostic accuracy, understanding disease mechanisms, and improving clinical practice using machine learning and deep learning models.

Interaction of Purine and its Derivatives with A1, A2-Adenosine Receptors and Vascular Endothelial Growth Factor Receptor-1 (Vegf-R1) as a Therapeutic Alternative to Treat Cancer

BACKGROUND

There are several studies that indicate that cancer development may be conditioned by the activation of some biological systems that involve the interaction of different biomolecules, such as adenosine and vascular endothelial growth factor. These biomolecules have been targeted of some drugs for treat of cancer; however, there is little information on the interaction of purine derivatives with adenosine and vascular endothelial growth factor receptor (VEGF-R1).

OBJECTIVE

The aim of this research was to determine the possible interaction of purine (1: ) and their derivatives (2-31: ) with A1, A2-adenosine receptors, and VEGF-R1.

METHODS

Theoretical interaction of purine and their derivatives with A1, A2-adenosine receptors and VEGF-R1 was carried out using the 5uen, 5mzj and 3hng proteins as theoretical tools. Besides, adenosine, cgs-15943, rolofylline, cvt-124, wrc-0571, luf-5834, cvt-6883, AZD-4635, cabozantinib, pazopanib, regorafenib, and sorafenib drugs were used as controls.

RESULTS

The results showed differences in the number of aminoacid residues involved in the interaction of purine and their derivatives with 5uen, 5mzj and 3hng proteins compared with the controls. Besides, the inhibition constants (Ki) values for purine and their derivatives 5: , 9: , 10: , 14: , 15: , 16: , and 20: were lower compared with the controls CONCLUSIONS: Theoretical data suggest that purine and their derivatives 5: , 9: , 10: , 14: , 15: , 16: , and 20: could produce changes in cancer cell growth through inhibition of A1, A2-adenosine receptors and VEGFR-1 inhibition. These data indicate that these purine derivatives could be a therapeutic alternative to treat some types of cancer.

No genetic causal association between human papillomavirus and lung cancer risk: a bidirectional two-sample Mendelian randomization analysis

INTRODUCTION

Several observational or retrospective studies have previously been conducted to explore the possible association between lung cancer and human papillomavirus (HPV) infection. However, there may be inconsistencies in the data and conclusions due to differences in study design and HPV testing methods. There are currently no studies that provide conclusive evidence to support the involvement of HPV in the occurrence and development of lung cancer. Therefore, the relationship between HPV and lung cancer remains controversial and uncertain. This study aimed to explore whether HPV infection is causally related to lung cancer risk by systematically performing a two-way Two-Sample Mendelian Randomization (TSMR) analysis.

METHODS

In the International Lung Cancer Consortium (ILCCO) genome-wide association study dataset, we included 11,348 lung cancer (LUCA) cases, including 3275 squamous cell carcinoma (LUSC) cases, 3442 adenocarcinoma (LUAD) cases, and 15,861 cases of control. Using genetic variants associated with the HPV E7 protein as instrumental variables, we summarized statistics associated with HPV infection in the MRC IEU OpenGWAS database, which included the HPV-16 E7 protein and the HPV-18 E7 protein. Two-sample Mendelian randomization (MR) results are expressed as odds ratios (OR) and 95% confidence intervals (CI).

RESULTS

Based on a comprehensive analysis of genome-wide association study (GWAS) data from public databases, we mainly used inverse-variance weighted (IVW) to estimate causal relationships, while using MR-Egger, weighted median, simple mode, and weighted mode, and other four methods as supplements. Two-sample MR Analysis revealed no causal relationship between exposure factors (HPV-16 E7 protein and HPV-18 E7 protein) and outcome factors (lung cancer (LUCA) and its subtypes squamous cell carcinoma (LUSC) and adenocarcinoma (LUAD)) in forward MR Analysis using the IVW approach.HPV-16 E7 protein and LUCA and its subtypes LUSC and LUAD by IVW method results: [OR] = 1.002; 95% [CI]: 0.961 - 1.045; p = 0.920; [OR] = 1.023; 95% [CI]: 0.966 - 1.084; p = 0.438; [OR] = 0.994; 95% [CI]: 0.927 - 1.066; p = 0.872); HPV-18 E7 protein and LUCA and its subtypes LUSC and LUAD by IVW method results: [OR] = 0.965; 95% [CI]: 0.914 - 1.019; p = 0.197; [OR] = 0.933; 95% [CI]: 0.834 - 1.043; p = 0.222; [OR] = 1.028; 95% [CI]: 0.945 - 1.118; p = 0.524. It was observed through reverse MR that LUCA and its subtypes LUSC and LUAD were used as exposure factors, and HPV infection (HPV-16 E7 protein and HPV-18 E7 protein) was used as the outcome factors, the results of the IVW method are also invalid.LUCA and HPV-16 E7 protein and HPV-18 E7 protein by IVW method results: [OR] = 1.036; 95% [CI]: 0.761 - 1.411; p = 0.82; [OR] = 1.318; 95% [CI]: 0.949 - 1.830; p = 0.099; LUSC and HPV-16 E7 protein and HPV-18 E7 protein by IVW method results: [OR] = 1.123; 95% [CI]0.847 - 1.489; p = 0.421; [OR] = 0.931; 95% [CI]: 0.660 - 1.313; p = 0.682; LUAD and HPV-16 E7 protein and HPV-18 E7 protein by IVW method results: [OR] = 1.182; 95% [CI] 0.983 - 1.421; p = 0.075; [OR] = 1.017; 95% [CI]: 0.817 - 1.267; p = 0.877.Our results indicate that there is no causal relationship between genetically predicted HPV infection and LUCA and its subtypes LUSC and LUAD. In addition, in the reverse MR analysis, we did not observe a significant causal relationship between LUCA and its subtypes LUSC and LUAD on HPV infection.

CONCLUSIONS

Our findings do not support a genetic association between HPV infection and lung cancer.

Cardiovascular disease and cancer: shared risk factors and mechanisms

Cardiovascular disease (CVD) and cancer are among the leading causes of morbidity and mortality globally, and these conditions are increasingly recognized to be fundamentally interconnected. In this Review, we present the current epidemiological data for each of the modifiable risk factors shared by the two diseases, including hypertension, hyperlipidaemia, diabetes mellitus, obesity, smoking, diet, physical activity and the social determinants of health. We then review the epidemiological data demonstrating the increased risk of CVD in patients with cancer, as well as the increased risk of cancer in patients with CVD. We also discuss the shared mechanisms implicated in the development of these conditions, highlighting their inherent bidirectional relationship. We conclude with a perspective on future research directions for the field of cardio-oncology to advance the care of patients with CVD and cancer.

The Association between Dyslipidemia and Pulmonary Diseases

Dyslipidemia is one of the most common diseases worldwide. As a component of metabolic syndrome, the prevalence and mechanism by which dyslipidemia promotes cardiovascular diseases has been well studied, although the relationship between pulmonary diseases is not well understood. Because the lung is a respiratory organ with a large surface area and is exposed to the environment outside the body, it continuously inhales various substances. As a result, pulmonary diseases have a vast diversity, including chronic inflammatory diseases, allergic diseases, cancers, and infectious diseases. Recently, growing evidence has suggested that dyslipidemia plays a role in the pathogenesis and prognosis of various pulmonary diseases. We herein review the current understanding of the relationship between dyslipidemia and pulmonary diseases, including chronic obstructive pulmonary diseases, asthma, and lung cancer, and infectious pulmonary diseases, including community-acquired pneumonia, tuberculosis, nontuberculous mycobacterial pulmonary disease, and COVID-19. In addition, we focus on recent evidence of the utility of statins, specifically 3-hydroxy-3-methylglutaryl-coA reductase inhibitors, in the prevention and treatment of the various pulmonary diseases described above.

Advancements of gene therapy in cancer treatment: A comprehensive review

Cancer is the main contributor for mortality in the world. Conventional therapy that available as the treatment options are chemotherapy, radiotherapy and surgery. However, these treatments are hardly cell-specific most of the time. Nowadays, extensive research and investigations are made to develop cell-specific approaches prior to cancer treatment. Some of them are photodynamic therapy, hyperthermia, immunotherapy, stem cell transplantation and targeted therapy. This review article will be focusing on the development of gene therapy in cancer. The objective of gene therapy is to correct specific mutant genes causing the excessive proliferation of the cell that leads to cancer. There are lots of explorations in the approach to modify the gene. The delivery of this therapy plays a big role in its success. If the inserted gene does not find its way to the target, the therapy is considered a failure. Hence, vectors are needed and the common vectors used are viral, non viral or synthetic, polymer based and lipid based vectors. The advancement of gene therapy in cancer treatment will be focussing on the top three cancer cases in the world which are breast, lung and colon cancer. In breast cancer, the discussed therapy are CRISPR/Cas9, siRNA and gene silencing whereas in colon cancer miRNA and suicide gene therapy and in lung cancer, replacement of tumor suppressor gene, CRISPR/Cas9 and miRNA.

Fibrosis to carcinogenesis: unveiling the causal dynamics between pulmonary fibrosis and lung cancer

Background

Previous clinical evidence has shown a correlation between pulmonary fibrosis (PF) and lung cancer (LC), but their causal relationship remains unknown.

Methods

This study utilized a bidirectional two-sample Mendelian randomization (MR) approach to explore the causal relationship between PF and LC, including its subtypes. Genetic data were obtained from the IEU and FinnGen Genome-Wide Association Studies (GWAS). SNPs with genome-wide significance were selected, and analyses were conducted using Inverse-Variance Weighted (IVW), MR Egger, and Weighted Median methods. The IVW results for various subtypes of lung cancer and PF were used in a meta-analysis to investigate the overall causal effect between PF and lung cancer. Sensitivity analysis was used for both MR and meta-analysis to investigate the robustness of the results.

Results

The bidirectional MR analysis showed no significant causal relationship between PF and overall, LC or its subtypes, except for SCLC, which had a significant positive association (OR = 1.29, 95% CI 1.07-1.57, p = 0.009). The meta-analysis results indicated no overall causal effect (OR = 1.067, 95% CI: 0.952-1.195, P = 0.265, I² = 57.3%). In the reverse MR analysis, NSCLC and LUSC showed significant associations with PF (OR = 1.12, 95% CI 1.01-1.23, p = 0.028 and OR = 1.04, 95% CI 1.01-1.08, p = 0.012, respectively), while the meta-analysis results indicated no significant causal effect (OR = 1.006, 95% CI: 0.973-1.040, P = 0.734, I² = 55.9%). Sensitivity analyses indicated no evidence of horizontal pleiotropy or significant heterogeneity.

Conclusion

This study suggests a potential causal relationship between PF and SCLC, as well as between NSCLC and LUSC with PF. However, the overall causal relationship between PF and LC was not statistically significant, possibly due to individual variability and other influencing factors. Further research using data from diverse populations is needed to validate these findings.

Breastfeeding may reduce the effects of maternal smoking on lung cancer mortality in adult offspring: a prospective cohort study

BACKGROUND

Although previous research has indicated a correlation between smoking and the mortality rate in patients with lung cancer, the impact of early life factors on this relationship remains unclear and requires further investigation. This study aimed to investigate the hypothesis that breastfeeding reduces the risk of lung cancer-related death.

METHODS

The authors conducted a prospective cohort study involving 501 859 participants recruited from the United Kingdom Biobank to explore the potential association between breastfeeding and the risk of lung cancer mortality using a Cox proportional hazards model. Subsequently, the polygenic risk score for lung cancer was calculated to detect interactions between genes and the environment.

RESULTS

Over a median follow-up duration of 11.8 years, encompassing a total of 501 859 participants, breastfeeding was found to reduce the risk of lung cancer-related death and the impact of maternal smoking on lung cancer mortality in adult offspring. This association remained consistent after stratification. Furthermore, the influence of maternal smoking and breastfeeding on the risk of lung cancer mortality was significant at a high genetic risk level.

CONCLUSION

Breastfeeding can reduce the risk of lung cancer-related death and the impact of maternal smoking on lung cancer mortality in adult offspring. This correlation has the potential to reduce the probability of lung-cancer-related deaths in subsequent generations.

Additional impact of genetic ancestry over race/ethnicity to prevalence of KRAS mutations and allele-specific subtypes in non-small cell lung cancer

The KRAS mutation is the most common oncogenic driver in patients with non-small cell lung cancer (NSCLC). However, a detailed understanding of how self-reported race and/or ethnicity (SIRE), genetically inferred ancestry (GIA), and their interaction affect KRAS mutation is largely unknown. Here, we investigated the associations between SIRE, quantitative GIA, and KRAS mutation and its allele-specific subtypes in a multi-ethnic cohort of 3,918 patients from the Boston Lung Cancer Survival cohort and the Chinese OrigiMed cohort with an independent validation cohort of 1,450 patients with NSCLC. This comprehensive analysis included detailed covariates such as age at diagnosis, sex, clinical stage, cancer histology, and smoking status. We report that SIRE is significantly associated with KRAS mutations, modified by sex, with SIRE-Asian patients showing lower rates of KRAS mutation, transversion substitution, and the allele-specific subtype KRASG12C compared to SIRE-White patients after adjusting for potential confounders. Moreover, GIA was found to correlate with KRAS mutations, where patients with a higher proportion of European ancestry had an increased risk of KRAS mutations, especially more transition substitutions and KRASG12D. Notably, among SIRE-White patients, an increase in European ancestry was linked to a higher likelihood of KRAS mutations, whereas an increase in admixed American ancestry was associated with a reduced likelihood, suggesting that quantitative GIA offers additional information beyond SIRE. The association of SIRE, GIA, and their interplay with KRAS driver mutations in NSCLC highlights the importance of incorporating both into population-based cancer research, aiming to refine clinical decision-making processes and mitigate health disparities.

Modification Role of Dietary Antioxidants in the Association of High Red Meat Intake and Lung Cancer Risk: Evidence from a Cancer Screening Trial

Evidence on the association between red meat consumption and lung cancer risk is weak. This study examined the associations between red meat and lung cancer across levels of antioxidant intake from foods or supplements. Cox proportional hazard models were applied to assess hazard ratios (HRs) for lung cancer incidence in the Prostate, Lung, Colorectal, and Ovarian (PLCO) cancer screening trial. Baseline food frequency questionnaires measured red meat and antioxidant intake. The food-based Composite Dietary Antioxidant Index (fCDAI) evaluated the overall natural intake of vitamin A, vitamin C, vitamin E, zinc, magnesium, and selenium. During 13 years of follow-up, 95,647 participants developed 1599 lung cancer cases. Higher red meat consumption was associated with a higher risk of lung cancer (HRQ4vsQ1 1.43, 95%CI 1.20-1.71, p-trend < 0.001). We observed similar trends across groups with low or medium levels of antioxidant intake. However, no association was noticed in the group with the highest fCDAI (HRQ4vsQ1 1.24, 95%CI 0.90-1.72, p-trend = 0.08) and highest independent natural antioxidant intake. The attenuated risk was not consistently observed among groups with high supplement use. Lastly, we did not notice evidence of interactions between red meat and antioxidant intake. Our findings emphasize the importance of limiting red meat in lung cancer prevention.

Validation of a Blood-Based Protein Biomarker Panel for a Risk Assessment of Lethal Lung Cancer in the Physicians' Health Study

This study aimed to assess a four-marker protein panel (4MP)'s performance, including the precursor form of surfactant protein B, cancer antigen 125, carcinoembryonic antigen, and cytokeratin-19, for predicting lung cancer in a cohort enriched with never- and ever-smokers. Blinded pre-diagnostic plasma samples collected within 2 years prior to a lung cancer diagnosis from 25 cases and 100 sex-, age-, and smoking-matched controls were obtained from the Physicians' Health Study (PHS). The 4MP yielded AUC performance estimates of 0.76 (95% CI: 0.61-0.92) and 0.69 (95% CI: 0.56-0.82) for predicting lung cancer within one year and within two years of diagnosis, respectively. When stratifying into ever-smokers and never-smokers, the 4MP had respective AUCs of 0.77 (95% CI: 0.63-0.92) and 0.72 (95% CI: 0.17-1.00) for a 1-year risk of lung cancer. The AUCs of the 4MP for predicting metastatic lung cancer within one year and two years of the blood draw were 0.95 (95% CI: 0.87-1.00) and 0.78 (95% CI: 0.62-0.94), respectively. Our findings indicate that a blood-based biomarker panel may be useful in identifying ever- and never-smokers at high risk of a diagnosis of lung cancer within one-to-two years.

Biochemical changes in lipid and protein metabolism caused by mannose-Raman spectroscopy studies

Biochemical analysis of human normal bronchial cells (BEpiC) and human cancer lung cells (A549) has been performed by using Raman spectroscopy and Raman imaging. Our approach provides a biochemical compositional mapping of the main cell components: nucleus, mitochondria, lipid droplets, endoplasmic reticulum, cytoplasm and cell membrane. We proved that Raman spectroscopy and Raman imaging can distinguish successfully BEpiC and A549 cells. In this study, we have focused on the role of mannose in cancer development. It has been shown that changes in the concentration of mannose can regulate some metabolic processes in cells. Presented results suggest lipids and proteins can be considered as Raman biomarkers during lung cancer progression. Analysis obtained for bands 1444 cm-1, and 2854 cm-1 characteristic for lipids and derivatives proved that the addition of mannose reduced levels of these compounds. Results obtained for protein compounds based on bands 858 cm-1, 1004 cm-1 and 1584 cm-1 proved that the addition of mannose increases the values of protein in BEpiC cells and blocks protein glycolisation in A549 cells. Noticing Raman spectral changes in BEpiC and A549 cells supplemented with mannose can help to understand the mechanism of sugar metabolism during cancer development and could play in the future an important role in clinical treatment.

Smoking, mortality, access to diagnosis, and treatment of lung cancer in Brazil

INTRODUCTION

Lung cancer (LC) is a relevant public health problem in Brazil and worldwide, given its high incidence and mortality. Thus, the objective of this study is to analyze the distribution of smoking and smoking status according to sociodemographic characteristics and disparities in access, treatment, and mortality due to LC in Brazil in 2013 and 2019.

METHOD

Retrospective study of triangulation of national data sources: a) analysis of the distribution of smoking, based on the National Survey of Health (PNS); b) investigation of LC records via Hospital-based Cancer Registry (HCR); and c) distribution of mortality due to LC in the Mortality Information System (SIM).

RESULTS

There was a decrease in the percentage of people who had never smoked from 2013 (68.5%) to 2019 (60.2%) and in smoking history (pack-years). This was observed to be greater in men, people of older age groups, and those with less education. Concerning patients registered in the HCR, entry into the healthcare service occurs at the age of 50, and only 19% have never smoked. While smokers in the population are mainly Mixed-race, patients in the HCR are primarily White. As for the initial stage (I and II), it is more common in White people and people who have never smoked. The mortality rate varied from 1.00 for people with higher education to 3.36 for people without education. Furthermore, White people have a mortality rate three times higher than that of Black and mixed-race people.

CONCLUSION

This article highlighted relevant sociodemographic disparities in access to LC diagnosis, treatment, and mortality. Therefore, the recommendation is to strengthen the Population-Based Cancer Registry and develop and implement a nationwide LC screening strategy in Brazil since combined prevention and early diagnosis strategies work better in controlling mortality from the disease and continued investment in tobacco prevention and control policies.

[Why did I get cancer?]

Two interesting papers explore the beliefs of individuals (general population, or cancer survivors) on the causes of cancer. They reveal a huge discrepancy between scientifically proven factors and spontaneous opinions, that consider "stress" as the major cause of cancer. This is understandable in terms of psychological needs, and must be taken into account in cancer information campaigns.

CT Imaging Patterns in Major Histological Types of Lung Cancer

Lung cancer ranks as the second most prevalent cancer globally and is the primary contributor to neoplastic-related deaths. The approach to its treatment relies on both tumour staging and histological type determination. Data indicate that the prognosis of lung cancer is strongly linked to its clinical stage, underscoring the importance of early diagnosis in enhancing patient outcomes. Consequently, the choice of an appropriate diagnostic method holds significant importance in elevating both the early detection rate and prognosis of lung cancer. This paper aims to assess computer tomography features specific to the most common lung cancer types (adenocarcinoma, squamous cell carcinomas and small cell lung cancer). Data were collected retrospectively from CT scans of 58 patients pathologically diagnosed with lung cancer. The following CT features were evaluated and recorded for each case: location, margins, structure, lymph node involvement, cavitation, vascular bundle-thickening, bronchial obstruction, and pleural involvement. Squamous cell carcinoma (SQCC) and small cell lung cancer (SCLC) showed a higher incidence of central location, while adenocarcinoma (ADC) showed a significant predilection for a peripheral location. Internal cavitation was mostly observed in SQCC, and a solid structure was observed in almost all cases of ADC. These features can provide information about the prognosis of the patient, considering that NSCLCs are more frequent but tend to demonstrate positive results for targetable driver mutations, such as EGFR, thereby increasing the overall survival. In addition, SCLC presents with early distant spreads, which limits the opportunity to investigate the evolution of tumorigenesis and gene alterations at early stages but can have a rapidly positively response to chemotherapy. The location of the lung cancer exhibits distinct forecasts, with several studies suggesting that peripheral lung tumours offer a more favourable prognosis. Cavity formation appears correlate with a poorer prognosis. Histopathological analysis is the gold standard for diagnosing the type of lung cancer; however, using CT scanning for the purpose of a rough, but fast, preliminary diagnosis has the potential to shorten the waiting time for treatment by helping clinicians and patients to know more about the diagnosis and prognosis.

Hyperthyroidism and the risk of non-thyroid cancer: a Danish register-based long-term follow-up study

Objective

Cancer is the second most common cause of death worldwide. It is currently debated whether thyroid dysfunction is a modifiable cancer risk factor. Our aim was to evaluate the risk of cancer in patients with hyperthyroidism.

Methods

This is a register-based nationwide cohort study of individuals with a diagnosis of hyperthyroidism. Each hyperthyroid case was matched with four reference individuals according to age and sex. Using Fine and Gray competing risk regression models, we studied the association of hyperthyroidism and subsequent all-cause cancer diagnoses, adjusted for preexisting morbidity. Sub-analyses were stratified for cause of hyperthyroidism (Graves' disease and toxic nodular goiter, age when diagnosed with hyperthyroidism, sex, and cancer localization (lung, prostate, breast, and colorectal cancer)).

Results

The cohort consisted of 95,469 patients with hyperthyroidism (followed for a median of 10.9 years (range: 5.2-17.2)), and 364,494 reference individuals (followed for a median of 11.2 years (range: 5.4-17.4)). Hyperthyroidism was associated with increased all-cause cancer risk (sub-distribution hazard ratio (SHR): 1.12; 95% CI: 1.10-1.14), as well as an increased risk of breast (SHR: 1.07; 95% CI: 1.02-1.13), lung (SHR: 1.20; 95% CI: 1.16-1.26), and prostate cancer (SHR: 1.10; 95% CI: 1.02-1.19), but not colorectal cancer (SHR: 1.04; 95% CI: 0.99-1.09). Sub-analyses stratified for age when diagnosed with hyperthyroidism and cause of hyperthyroidism yielded similar results.

Conclusion

In this register-based study, patients with hyperthyroidism had an increased risk of cancer, in particular lung, prostate, and breast cancer. Whether a causal link exists remains to be proven.

Molecular mechanisms underlying the regulation of tumour suppressor genes in lung cancer

Tumour suppressor genes play a cardinal role in the development of a large array of human cancers, including lung cancer, which is one of the most frequently diagnosed cancers worldwide. Therefore, extensive studies have been committed to deciphering the underlying mechanisms of alterations of tumour suppressor genes in governing tumourigenesis, as well as resistance to cancer therapies. In spite of the encouraging clinical outcomes demonstrated by lung cancer patients on initial treatment, the subsequent unresponsiveness to first-line treatments manifested by virtually all the patients is inherently a contentious issue. In light of the aforementioned concerns, this review compiles the current knowledge on the molecular mechanisms of some of the tumour suppressor genes implicated in lung cancer that are either frequently mutated and/or are located on the chromosomal arms having high LOH rates (1p, 3p, 9p, 10q, 13q, and 17p). Our study identifies specific genomic loci prone to LOH, revealing a recurrent pattern in lung cancer cases. These loci, including 3p14.2 (FHIT), 9p21.3 (p16INK4a), 10q23 (PTEN), 17p13 (TP53), exhibit a higher susceptibility to LOH due to environmental factors such as exposure to DNA-damaging agents (carcinogens in cigarette smoke) and genetic factors such as chromosomal instability, genetic mutations, DNA replication errors, and genetic predisposition. Furthermore, this review summarizes the current treatment landscape and advancements for lung cancers, including the challenges and endeavours to overcome it. This review envisages inspired researchers to embark on a journey of discovery to add to the list of what was known in hopes of prompting the development of effective therapeutic strategies for lung cancer.

Exploring the contribution of lifestyle to the impact of education on the risk of cancer through Mendelian randomization analysis

Educational attainment (EA) has been linked to the risk of several types of cancer, despite having no expected direct biological connection. In this paper, we investigate the mediating role of alcohol consumption, smoking, vegetable consumption, fruit consumption and body mass index (BMI) in explaining the effect of EA on 7 cancer groupings. Large-scale genome wide association study (GWAS) results were used to construct the genetic instrument for EA and the lifestyle factors. We conducted GWAS in the UK Biobank sample in up to 335,024 individuals to obtain genetic association data for the cancer outcomes. Univariable and multivariable two-sample Mendelian randomization (MR) analyses and mediation analyses were then conducted to explore the causal effect and mediating proportions of these relations. MR mediation analysis revealed that reduced lifetime smoking index accounted for 81.7% (49.1% to 100%) of the protective effect of higher EA on lower respiratory cancer. Moreover, the effect of higher EA on lower respiratory cancer was mediated through vegetable consumption by 10.2% (4.4% to 15.9%). We found genetic evidence that the effect of EA on groups of cancer is due to behavioural changes in avoiding well established risk factors such as smoking and vegetable consuming.

Multisampling-based docking reveals Imidazolidinyl urea as a multitargeted inhibitor for lung cancer: an optimisation followed multi-simulation and in-vitro study

Lung Cancer is one of the deadliest cancers, responsible for more than 1.80 million deaths annually worldwide, and it is on the priority list of WHO. In the current scenario, when cancer cells become resistant to the drug, making it less effective leaves the patient in vulnerable conditions. To overcome this situation, researchers are constantly working on new drugs and medications that can help fight drug resistance and improve patients' outcomes. In this study, we have taken five main proteins of lung cancer, namely RSK4 N-terminal kinase, guanylate kinase, cyclin-dependent kinase 2, kinase CK2 holoenzyme, tumour necrosis factor-alpha and screened the prepared Drug Bank library with 1,55,888 compounds against all using three Glide-based docking algorithms namely HTVS, standard precision and extra precise with a docking score ranging from -5.422 to -8.432 Kcal/mol. The poses were filtered with the MM\GBSA calculations, which helped to identify Imidazolidinyl urea C11H16N8O8 (DB14075) as a multitargeted inhibitor for lung cancer, validated with advanced computations like ADMET, interaction pattern fingerprints, and optimised the compound with Jaguar, producing satisfied relative energy. All five complexes were performed with MD Simulation for 100 ns with NPT ensemble class, producing cumulative deviation and fluctuations < 2 Å and a web of intermolecular interaction, making the complexes stable. Further, the in-vitro analysis for morphological imaging, Annexin V/PI FACS assay, ROS and MMP analysis caspase3//7 activity were performed on the A549 cell line producing promising results and can be an option to treat lung cancer at a significantly cheaper state.Communicated by Ramaswamy H. Sarma.

Lung Cancer Prevalence in Virginia: A Spatial Zipcode-Level Analysis via INLA

BACKGROUND

Examining lung cancer (LC) cases in Virginia (VA) is essential due to its significant public health implications. By studying demographic, environmental, and socioeconomic variables, this paper aims to provide insights into the underlying drivers of LC prevalence in the state adjusted for spatial associations at the zipcode level.

METHODS

We model the available VA zipcode-level LC counts via (spatial) Poisson and negative binomial regression models, taking into account missing covariate data, zipcode-level spatial association and allow for overdispersion. Under latent Gaussian Markov Random Field (GMRF) assumptions, our Bayesian hierarchical model powered by Integrated Nested Laplace Approximation (INLA) considers simultaneous (spatial) imputation of all missing covariates through elegant prediction. The spatial random effect across zip codes follows a Conditional Autoregressive (CAR) prior.

RESULTS

Zip codes with elevated smoking indices demonstrated a corresponding increase in LC counts, underscoring the well-established connection between smoking and LC. Additionally, we observed a notable correlation between higher Social Deprivation Index (SDI) scores and increased LC counts, aligning with the prevalent pattern of heightened LC prevalence in regions characterized by lower income and education levels. On the demographic level, our findings indicated higher LC counts in zip codes with larger White and Black populations (with Whites having higher prevalence than Blacks), lower counts in zip codes with higher Hispanic populations (compared to non-Hispanics), and higher prevalence among women compared to men. Furthermore, zip codes with a larger population of elderly people (age ≥ 65 years) exhibited higher LC prevalence, consistent with established national patterns.

CONCLUSIONS

This comprehensive analysis contributes to our understanding of the complex interplay of demographic and socioeconomic factors influencing LC disparities in VA at the zip code level, providing valuable information for targeted public health interventions and resource allocation. Implementation code is available at GitHub.

Impact of individual level uncertainty of lung cancer polygenic risk score (PRS) on risk stratification

BACKGROUND

Although polygenic risk score (PRS) has emerged as a promising tool for predicting cancer risk from genome-wide association studies (GWAS), the individual-level accuracy of lung cancer PRS and the extent to which its impact on subsequent clinical applications remains largely unexplored.

METHODS

Lung cancer PRSs and confidence/credible interval (CI) were constructed using two statistical approaches for each individual: (1) the weighted sum of 16 GWAS-derived significant SNP loci and the CI through the bootstrapping method (PRS-16-CV) and (2) LDpred2 and the CI through posteriors sampling (PRS-Bayes), among 17,166 lung cancer cases and 12,894 controls with European ancestry from the International Lung Cancer Consortium. Individuals were classified into different genetic risk subgroups based on the relationship between their own PRS mean/PRS CI and the population level threshold.

RESULTS

Considerable variances in PRS point estimates at the individual level were observed for both methods, with an average standard deviation (s.d.) of 0.12 for PRS-16-CV and a much larger s.d. of 0.88 for PRS-Bayes. Using PRS-16-CV, only 25.0% of individuals with PRS point estimates in the lowest decile of PRS and 16.8% in the highest decile have their entire 95% CI fully contained in the lowest and highest decile, respectively, while PRS-Bayes was unable to find any eligible individuals. Only 19% of the individuals were concordantly identified as having high genetic risk (> 90th percentile) using the two PRS estimators. An increased relative risk of lung cancer comparing the highest PRS percentile to the lowest was observed when taking the CI into account (OR = 2.73, 95% CI: 2.12-3.50, P-value = 4.13 × 10-15) compared to using PRS-16-CV mean (OR = 2.23, 95% CI: 1.99-2.49, P-value = 5.70 × 10-46). Improved risk prediction performance with higher AUC was consistently observed in individuals identified by PRS-16-CV CI, and the best performance was achieved by incorporating age, gender, and detailed smoking pack-years (AUC: 0.73, 95% CI = 0.72-0.74).

CONCLUSIONS

Lung cancer PRS estimates using different methods have modest correlations at the individual level, highlighting the importance of considering individual-level uncertainty when evaluating the practical utility of PRS.

Outdoor Ultrafine Particulate Matter and Risk of Lung Cancer in Southern California

Rationale: Particulate matter ⩽2.5 μm in aerodynamic diameter (PM2.5) is an established cause of lung cancer, but the association with ultrafine particulate matter (UFP; aerodynamic diameter < 0.1 μm) is unclear. Objectives: To investigate the association between UFP and lung cancer overall and by histologic subtype. Methods: The Los Angeles Ultrafines Study includes 45,012 participants aged ⩾50 years in southern California at enrollment (1995-1996) followed through 2017 for incident lung cancer (n = 1,770). We estimated historical residential ambient UFP number concentrations via land use regression and back extrapolation using PM2.5. In Cox proportional hazards models adjusted for smoking and other confounders, we estimated associations between 10-year lagged UFP (per 10,000 particles/cm3 and quartiles) and lung cancer overall and by major histologic subtype (adenocarcinoma, squamous cell carcinoma, and small cell carcinoma). We also evaluated relationships by smoking status, birth cohort, and historical duration at the residence. Measurements and Main Results: UFP was modestly associated with lung cancer risk overall (hazard ratio [HR], 1.03 [95% confidence interval (CI), 0.99-1.08]). For adenocarcinoma, we observed a positive trend among men; risk was increased in the highest exposure quartile versus the lowest (HR, 1.39 [95% CI, 1.05-1.85]; P for trend = 0.01) and was also increased in continuous models (HR per 10,000 particles/cm3, 1.09 [95% CI, 1.00-1.18]), but no increased risk was apparent among women (P for interaction = 0.03). Adenocarcinoma risk was elevated among men born between 1925 and 1930 (HR, 1.13 [95% CI, 1.02-1.26] per 10,000) but not for other birth cohorts, and was suggestive for men with ⩾10 years of residential duration (HR, 1.11 [95% CI, 0.98-1.26]). We found no consistent associations for women or other histologic subtypes. Conclusions: UFP exposure was modestly associated with lung cancer overall, with stronger associations observed for adenocarcinoma of the lung.

Predicting lung cancer survival prognosis based on the conditional survival bayesian network

Lung cancer is a leading cause of cancer deaths and imposes an enormous economic burden on patients. It is important to develop an accurate risk assessment model to determine the appropriate treatment for patients after an initial lung cancer diagnosis. The Cox proportional hazards model is mainly employed in survival analysis. However, real-world medical data are usually incomplete, posing a great challenge to the application of this model. Commonly used imputation methods cannot achieve sufficient accuracy when data are missing, so we investigated novel methods for the development of clinical prediction models. In this article, we present a novel model for survival prediction in missing scenarios. We collected data from 5,240 patients diagnosed with lung cancer at the Weihai Municipal Hospital, China. Then, we applied a joint model that combined a BN and a Cox model to predict mortality risk in individual patients with lung cancer. The established prognostic model achieved good predictive performance in discrimination and calibration. We showed that combining the BN with the Cox proportional hazards model is highly beneficial and provides a more efficient tool for risk prediction.

Measuring the impact of COVID-19 on cancer survival using an interrupted time series analysis

BACKGROUND

Few studies have investigated the impact of the COVID-19 pandemic on cancer survival. Those studies that have included pandemic vs prepandemic comparisons can mask differences during different periods of the pandemic such as COVID-19 waves. The objective of this study was to investigate the impact of the COVID-19 pandemic on cancer survival using an interrupted time series analysis and to identify time points during the pandemic when observed survival deviated from expected survival.

METHODS

A retrospective population-based cohort study that included individuals diagnosed with cancer between January 2015 and September 2021 from Manitoba, Canada, was performed. Interrupted time series analyses with Royston-Parmar models as well as Kaplan-Meier survival estimates and delta restricted mean survival times at 1 year were used to compare survival rates for those diagnosed before and after the pandemic. Analyses were performed for 11 cancer types.

RESULTS

Survival at 1 year for most cancer types was not statistically different during the pandemic compared with prepandemic except for individuals aged 50-74 years who were diagnosed with lung cancer from April to June 2021 (delta restricted mean survival times = -31.6 days, 95% confidence interval [CI] = -58.3 to -7.2 days).

CONCLUSIONS

With the exception of individuals diagnosed with lung cancer, the COVID-19 pandemic did not impact overall 1-year survival in Manitoba. Additional research is needed to examine the impact of the pandemic on long-term cancer survival.

Optimizing lung cancer classification through hyperparameter tuning

Artificial intelligence is steadily permeating various sectors, including healthcare. This research specifically addresses lung cancer, the world's deadliest disease with the highest mortality rate. Two primary factors contribute to its onset: genetic predisposition and environmental factors, such as smoking and exposure to pollutants. Recognizing the need for more effective diagnosis techniques, our study embarked on devising a machine learning strategy tailored to boost precision in lung cancer detection. Our aim was to devise a diagnostic method that is both less invasive and cost-effective. To this end, we proposed four methods, benchmarking them against prevalent techniques using a universally recognized dataset from Kaggle. Among our methods, one emerged as particularly promising, outperforming the competition in accuracy, precision and sensitivity. This method utilized hyperparameter tuning, focusing on the Gamma and C parameters, which were set at a value of 10. These parameters influence kernel width and regularization strength, respectively. As a result, we achieved an accuracy of 99.16%, a precision of 98% and a sensitivity rate of 100%. In conclusion, our enhanced prediction mechanism has proven to surpass traditional and contemporary strategies in lung cancer detection.

Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program

OBJECTIVE

The All of Us Research Program (All of Us) aims to recruit over a million participants to further precision medicine. Essential to the verification of biobanks is a replication of known associations to establish validity. Here, we evaluated how well All of Us data replicated known cigarette smoking associations.

MATERIALS AND METHODS

We defined smoking exposure as follows: (1) an EHR Smoking exposure that used International Classification of Disease codes; (2) participant provided information (PPI) Ever Smoking; and, (3) PPI Current Smoking, both from the lifestyle survey. We performed a phenome-wide association study (PheWAS) for each smoking exposure measurement type. For each, we compared the effect sizes derived from the PheWAS to published meta-analyses that studied cigarette smoking from PubMed. We defined two levels of replication of meta-analyses: (1) nominally replicated: which required agreement of direction of effect size, and (2) fully replicated: which required overlap of confidence intervals.

RESULTS

PheWASes with EHR Smoking, PPI Ever Smoking, and PPI Current Smoking revealed 736, 492, and 639 phenome-wide significant associations, respectively. We identified 165 meta-analyses representing 99 distinct phenotypes that could be matched to EHR phenotypes. At P < .05, 74 were nominally replicated and 55 were fully replicated. At P < 2.68 × 10-5 (Bonferroni threshold), 58 were nominally replicated and 40 were fully replicated.

DISCUSSION

Most phenotypes found in published meta-analyses associated with smoking were nominally replicated in All of Us. Both survey and EHR definitions for smoking produced similar results.

CONCLUSION

This study demonstrated the feasibility of studying common exposures using All of Us data.

A systematic review of preclinical studies evaluating the association between nicotine and the initiation and progression of cancer

Background

The association between cigarette smoking and the increased risk of many cancers is well established. Conversely, epidemiological studies of smokeless tobacco demonstrate decreased risk, or no elevated risk, of certain cancers versus smoking. However, it is unclear what role, if any, nicotine plays in these associations. The objective of this systematic review was to synthesize the available evidence from preclinical studies that examined the potential association between nicotine and the initiation and/or progression of cancer.

Methods

MEDLINE, Embase, PsychInfo, and Cochrane Database of Systematic Reviews were searched for articles published from inception until February 13, 2022. Studies were eligible for inclusion if they evaluated animal cancer or tumor models, compared nicotine and non-nicotine groups, and evaluated measures of cancer initiation or progression.

Results

Among 1,137 identified articles, 61 were included in qualitative synthesis. Twelve studies reported data on tumor initiation, and 54 studies reported data on tumor progression. The majority of the tumor initiation studies did not identify an association between nicotine exposure and an increased risk of spontaneous tumor initiation. Results of tumor progression studies were inconsistent and varied across the reported measures, cancer type being evaluated, and animal cancer model used. Overall, the quality of reporting was poor, with many studies not demonstrating a high level of internal and/or external validity.

Conclusions

In conclusion, although animal models have provided invaluable data for human health risk assessments of chemical exposures, the heterogeneity across the studies included in this systematic review make the interpretation and generalizability of the results difficult.

Semisynthesis of 5-O-ester derivatives of renieramycin T and their cytotoxicity against non-small-cell lung cancer cell lines

The semisynthesis of 5-O-ester derivatives of renieramycin T was accomplished through the photoredox reaction of renieramycin M (1), a bistetrahydroisoquinolinequinone alkaloid isolated from the Thai blue sponge Xestospongia sp. This process led to the conversion of compound 1 to renieramycin T (2), which was subsequently subjected to Steglich esterification with appropriate acylating agents containing linear alkyl, N-tert-butoxycarbonyl-L-amino, and heterocyclic aromatic substituent. Notably, the one-pot transformation, combining the photoredox reaction and esterification led to the formation of 7-O-ester derivatives of renieramycin S due to hydrolysis. Subsequently, the in vitro cytotoxicity of the 17 semisynthesized derivatives against human non-small-cell lung cancer (NSCLC) cells in parallel with normal cell lines was evaluated. Among the tested compounds, 5-O-(3-propanoyl) ester of renieramycin T (3b) exhibited potent cytotoxic activity with half-maximal inhibitory concentration (IC50) values at 33.44 and 33.88 nM against H292 and H460 cell lines, respectively. These values were within the same range as compound 1 (IC50 = 34.43 and 35.63 nM) and displayed twofold higher cytotoxicity compared to compound 2 (IC50 = 72.85 and 83.95 nM). The steric characteristics and aromatic orientation of the 5-O-ester substituents played significant roles in their cytotoxicity. Notably, derivative 3b induced apoptosis with minimal necrosis, in contrast to the parental compound 1. Hence, the relationship between the structure and cytotoxicity of renieramycin-ecteinascidin hybrid alkaloids was investigated. This study emphasizes the potential of the series of 5-O-ester derivatives of renieramycin T as promising leads for the further development of potential anti-NSCLC agents.

Genetic polymorphisms in CYP2B6 may be associated with lung cancer risk in the Chinese Han population

BACKGROUND

Our study aimed to elucidate the association between single nucleotide polymorphisms (SNPs) in CYP2B6 gene and susceptibility to lung cancer (LC).

METHODS

Five SNPs in CYP2B6 were genotyped in Chinese Han population (507 cases and 505 controls) utilizing Agena MassARRAY. The relationship between these SNPs and LC susceptibility was assessed using odds ratios, 95% confidence intervals, and χ2 tests. Additionally, multifactor dimensionality reduction was employed to analyze SNP-SNP interactions. Bioinformatics methods were applied to investigate the function of these SNPs.

RESULTS

We found that rs2099361 was associated with an increased susceptibility to LC in the codominant model (OR = 1.31, p = 0.045). Stratification analysis revealed the allele G at rs4803418 and the allele T at rs4803420 of CYP2B6 (BMI >24 kg/m2) were significantly linked to decreased susceptibility of LC. Conversely, the allele C at rs12979270 (BMI >24 kg/m2) showed increased susceptibility to LC. Moreover, a robust redundant relationship between rs12979270 and rs4803420 was identified in the study. According to the VannoPortal database, we found that rs4803420, rs12979270 and rs2099361 may modulate the binding affinity of LMNB1, SP1 and HDAC2, respectively.

CONCLUSIONS

Our results suggest that SNPs in the CYP2B6 gene play crucial roles in LC susceptibility.

The Burden of Lung Cancer in Women Compared With Men in the US

This cross-sectional study examines the incidence rates of lung cancer in women compared with men from 2000 to 2019.

Increased Lung Cancer Risk and Associated Risk Factors in Tuberculosis Survivors: A Korean Population-Based Study

BACKGROUND

Few studies have comprehensively evaluated the risk of lung cancer in tuberculosis survivors with consideration of smoking status and chronic obstructive pulmonary disease (COPD). Furthermore, little is known about lung cancer risk factors in tuberculosis survivors.

METHODS

This population-based cohort study enrolled tuberculosis survivors (n = 75 467) between 2010 and 2017 and 1:1 age- and sex-matched controls. Subjects were followed up for 1 year from the date of tuberculosis diagnosis to the date of the incident lung cancer, death, or December 2018, whichever came first. The risk of lung cancer was evaluated according to smoking and COPD status. We also evaluated the risk factors for lung cancer and developed an individualized lung cancer prediction model for tuberculosis survivors.

RESULTS

During a median follow-up duration of 4.8 years, the incident lung cancer risk was 1.72-fold higher in tuberculosis survivors than in the controls. Among tuberculosis survivors, those who were current smokers with ≥20 pack-years showed the highest risk of lung cancer (adjusted hazard ratio, 6.78) compared with never-smoker, non-tuberculosis-infected controls. tuberculosis survivors with COPD had a higher risk (2.43) than non-COPD, non-tuberculosis-infected controls. Risk factors for lung cancer in tuberculosis survivors were pulmonary tuberculosis, age >60 years, smoking, and the presence of COPD or asthma. The individualized lung cancer risk model showed good discrimination (concordance statistic = 0.827).

CONCLUSIONS

Previous tuberculosis infection is an independent risk factor regardless of smoking status or amount and COPD. Closer monitoring of tuberculosis survivors, especially heavy smokers or those with COPD, is needed for early lung cancer diagnosis.