Mortality In Lung Cancer Patients Research Articles

Risk factors of SARS-CoV-2 infection and complications from COVID-19 in lungcancer patients.

Identifying lung cancer patients at an increased risk of getting SARS-CoV-2-related complications will facilitate tailored therapy to maximize the benefit of anti-cancer therapy, while decreasing the likelihood of COVID-19 complications. This analysis aimed to identify the characteristics of lung cancer patients that predict for increased risk of death or serious SARS-CoV-2 infection. This was a retrospective cohort study of patients with lung cancer diagnosed October 1, 2015, and December 1, 2020, and a diagnosis of COVID-19 between February 2, 2020, and December 1, 2020, within the Veterans Health Administration. Serious SARS-CoV-2 infection was defined as hospitalization, ICU admission, or mechanical ventilation or intubation within 2weeks of COVID-19 diagnosis. For categorical variables, differences were assessed using Χ2 tests, while Kruskal-Wallis rank-sum test was used for continuous variables. Multivariable logistic regression models were fit relative to onset of serious SARS-CoV-2 infection and death from SARS-CoV-2 infection. COVID-19 infection was diagnosed in 352 lung cancer patients. Of these, 61 patients (17.3%) died within four weeks of diagnosis with COVID-19, and 42 others (11.9%) experienced a severe infection. Patients who had fatal or severe infection were older and had lower hemoglobin levels than those with mild or moderate infection. Factors associated with death from SARS-CoV-2 infection included increasing age, immune checkpoint inhibitor therapy and low hemoglobin level. The mortality of lung cancer patients from COVID-19 disease in the present cohort was less than previously reported in the literature. The identification of risk factors associated with severe or fatal outcomes informs management of patients with lung cancer who develop COVID-19 disease.

MicroRNA in lung cancer-a novel potential way for early diagnosis and therapy.

Lung cancer is the most common cause of cancer-related deaths in the world. One of the reasons of poor prognosis and high mortality of lung cancer patients is the diagnosis of the disease in its advanced stage. Despite innovative diagnostic methods and multiple completed and ongoing clinical trials aiming at therapy improvement, no significant increase in patients' long-term survival has been noted over last decades. Patients would certainly benefit from early detection of lung cancer. Therefore, it is crucial to find new biomarkers that can help predict outcomes and tumor responses in order to maximize therapy effectiveness and avoid over- or under-treating patients with lung cancer. Nowadays, scientists' attention is mainly dedicated to so-called liquid biopsy, which is fully non-invasive and easily available method based on simple blood draw. Among common liquid biopsy elements, circulating tumor nucleic acids are worth mentioning. Epigenetic biomarkers, particularly miRNA expression, have several distinct features that make them promising prognostic markers. In this review, we described miRNA's involvement in tumorigenesis and present it as a predictor of cancer development and progression, potential indicator of treatment efficacy, and most importantly promising therapeutic target.

OBESITY AND LUNG CANCER (INVESTIGATING THE RELATIONSHIP)

Obesity is a global issue, and it leads to various health comorbidities like cardiovascular disease, diabetes type II and certain cancers. The relationship between obesity and cancer, specifically the lung cancer has been studied by many researchers, and they have revealed a positive association of lung cancer with obese individuals, but the mechanism is still not completely understood. Higher BMI which usually falls between 25 to 34.9 kg/m2 is found to reduce the rate of mortality in lung cancer patients. It has been found that in obese individual the p53 tumor suppressor gene is highly upregulated which play a critical role in decreasing the risk of lung cancer. Different studies have suggested that lung cancer has different progression rates depending on smokers and nonsmokers, and the size of the waist including the waist circumference (WC), waist-to-hip ratio (WHR), and the measures of overall obesity in the body, is associated with increased in risk of lung cancer regardless of BMI. This review unveils the major relation between obesity with lung cancer.

Machine learning for prediction of in-hospital mortality in lung cancer patients admitted to intensive care unit.

The in-hospital mortality in lung cancer patients admitted to intensive care unit (ICU) is extremely high. This study intended to adopt machine learning algorithm models to predict in-hospital mortality of critically ill lung cancer for providing relative information in clinical decision-making. Data were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) for a training cohort and data extracted from the Medical Information Mart for eICU Collaborative Research Database (eICU-CRD) database for a validation cohort. Logistic regression, random forest, decision tree, light gradient boosting machine (LightGBM), eXtreme gradient boosting (XGBoost), and an ensemble (random forest+LightGBM+XGBoost) model were used for prediction of in-hospital mortality and important feature extraction. The AUC (area under receiver operating curve), accuracy, F1 score and recall were used to evaluate the predictive performance of each model. Shapley Additive exPlanations (SHAP) values were calculated to evaluate feature importance of each feature. Overall, there were 653 (24.8%) in-hospital mortality in the training cohort, and 523 (21.7%) in-hospital mortality in the validation cohort. Among the six machine learning models, the ensemble model achieved the best performance. The top 5 most influential features were the sequential organ failure assessment (SOFA) score, albumin, the oxford acute severity of illness score (OASIS) score, anion gap and bilirubin in random forest and XGBoost model. The SHAP summary plot was used to illustrate the positive or negative effects of the top 15 features attributed to the XGBoost model. The ensemble model performed best and might be applied to forecast in-hospital mortality of critically ill lung cancer patients, and the SOFA score was the most important feature in all models. These results might offer valuable and significant reference for ICU clinicians' decision-making in advance.

Prognostic significance of frailty status in patients with primary lung cancer

Lung cancer has one of the highest morbidity and mortality rates in the world. Frailty is common in many countries and is a major cause of premature functional decline and premature death in older adults, and may affect the treatment and prognosis of lung cancer patients. To investigate the predictive value of frailty at diagnosis on all-cause mortality in lung cancer patients, this study retrospectively collected and analysed clinical information on lung cancer patients from 2015–2018. A total of 1667 patients with primary lung cancer were finally included in this study. The median follow-up time of patients was 650 (493, 1001.5) days. A total of 297(17.8%) patients had FI-LAB(the frailty index based on laboratory test) status of frail at the moment of diagnosis and the all-cause mortality rate for all patients was 61.1% (1018/1667). In a univariate model, we found a higher total all-cause mortality risk in frail patients (frail vs. robust, HR(hazard ratio) = 1.616, 95% CI(confidence interval) = 1.349,1.936), after balancing other variables combined into model 1 to model 6. The results were analyzed visually using ROC(Receiver operating characteristic) curves with nomogram and the AUC values ranged from 0.866–0.874. The final inclusion of age, TNM stage, CCI(Charlson comorbidity index) score, surgery history and chemotherapy into a multifactorial model balanced the predictive power of frailty grading on all-cause mortality. The study showed that for lung cancer patients, the higher the level of frailty at diagnosis, the higher the risk of all-cause mortality. In the context of widespread electronic medical records in hospitals, it is convenient and feasible to use FI-LAB to assess the prognosis of lung cancer patients.

Incidentally Diagnosed With Pulmonary Embolism in Lung Cancer Patients: Comparison of Clinical Characteristics and Mortality With Symptomatic Pulmonary Embolism.

The purpose of this work was to compare the clinical characteristics, rate of recurrent venous thromboembolism (VTE), bleeding complications and mortality of incidental and symptomatic pulmonary embolism (PE) detected on computed tomography in patients with lung cancer. Clinical data of lung cancer patients with PE were obtained from the Department of Respiratory and Critical Care Medicine of Ningbo First affiliated hospital of Ningbo University during January 2016 and June 2021 and were reviewed retrospectively. We compared clinical and radiological characteristics in lung cancer patients with incidental PE (IPE) and symptomatic PE (SPE) and identified variables associated with the 1-year survival on multivariate Cox analysis. All patients were followed up for 1 year to compare the risks of recurrent VTE, bleeding complications, and mortality. Survival analysis was performed by use of Kaplan-Meier. A total of 223 lung cancer patients with PE were enrolled over the period. Of these, 117 (52%) patients had symptomatic whereas 106 (48%) patients had incidental PE. Those with IPE were more likely to have adenocarcinoma, VTE history, chronic respiratory disease and chemotherapy within 30 days prior to PE, while SPE was more frequently observed in patients with squamous cancer, concomitant VTE, performance status 0-1, chronic heart disease and major surgery within 30 days prior to PE. During 1 year of follow-up, recurrent VTE was diagnosed in 10 patients (9.3%) in lung cancer patients with IPE and 13 patients (11.2%) with SPE. The 12-month cumulative recurrent VTE incidence was 9.6% for patients with incidental and 11.4% for patients with symptomatic PE (P = .61). The 12-month cumulative incidences of major bleeding complications were also comparable in the 2 groups (8.1% for incidental patients and 9.8% for symptomatic patients; P = .62). However, the respective 12-month mortality risks were 34.6% and 30.2% in lung cancer patients with IPE and SPE respectively (P = .03). On multivariate Cox analysis, we found that IPE occurrence was an independent risk factor associated with 1-year mortality in lung cancer patients complicated with PE after adjusting for age and sex (HR 1.517; 95% CI: 1.366-1.684; P = .027). Our findings suggest that lung cancer patients diagnosed with and treated for incidental PE had a similar rate of recurrent VTE, and incidence of hemorrhagic complications, but a significantly higher 1-year cumulative mortality rate after PE compared to those with symptomatic PE. IPE may be a marker of poor prognosis.

Preexisting psychological illness and its association with mortality in lung cancer patients with access to support resources.

Diagnosis of lung cancer often results in tremendous stress for most patients, especially in patients with underlying psychological illness. Psychosocial support (consultation with psychologist, psychotherapist, or social worker) referral is considered standard for quality cancer care; however, which patients utilize these resources and how these resources affect patient outcomes remain unclear. We aimed to identify which newly diagnosed lung cancer patients accessed available psychosocial resources and assessed how utilization of these resources correlated with treatment and survival outcomes. Data were collected from National Cancer Institute-designated cancer center at the University of New Mexico. We analyzed lung cancer registry and mortality data at the cancer center and bronchoscopy suite data to retrospectively identify patients diagnosed with lung cancer between 2012 and 2017. We used a logistic regression model to compare psychological support utilization at the cancer center between patients with and without history of psychiatric illness. We used a Cox proportional hazards model to identify individual risk factors for mortality. Patients with a previous psychological diagnosis were 2.4 times more likely (odds ratio = 2.443; confidence interval [CI], 1.130-5.284) to utilize psychological resources than patients without a pre-cancer psychological diagnosis. Patients who received psychosocial intervention had a 120.4% higher hazard of dying than those who did not (hazard ratio = 2.204; 95% CI, 1.240-3.917). One-year survival probability among those who did not utilize resources was 62.65% (95% CI, 55.24%-71.06%) and 43.0% (95% CI, 31.61%-58.50%) among those who did. Patients with a previous psychiatric diagnosis were more likely to utilize psychosocial resources within 1 year of lung cancer diagnosis. Patients with previous psychiatric illness are more likely to utilize psychosocial resources at the cancer center after a new diagnosis of lung cancer. Patients who utilize psychosocial interventions have higher 1-year mortality than those who do not.

Glutathione peroxidase 8 expression on cancer cells and cancer-associated fibroblasts facilitates lung cancer metastasis.

Lung cancer is the leading cause of cancer death worldwide, of which lung adenocarcinoma (LUAD) is the most common subtype. Metastasis is the major cause of poor prognosis and mortality for lung cancer patients, which urgently needs great efforts to be further explored. Herein, glutathione peroxidase 8 (GPX8) was identified as a novel potential pro‐metastatic gene in LUAD metastatic mice models from GEO database. GPX8 was highly expressed in tumor tissues, predicting poor prognosis in LUAD patients. Knockdown of GPX8 inhibited LUAD metastasis in vitro and in vivo, while it did not obviously affect tumor growth. Knockdown of GPX8 decreased the levels of p‐FAK and p‐Paxillin and disturbed the distribution of focal adhesion. Furthermore, GPX8 was overexpressed in cancer‐associated fibroblast (CAF) and associated with CAF infiltration in tumor microenvironment of lung cancer. GPX8 silence on fibroblasts suppressed lung cancer cell migration in the coculture system. BRD2 and RRD4 were the potential transcriptionally regulators for GPX8. Bromodomain extra‐terminal inhibitor JQ1 downregulated GPX8 expression and suppressed lung cancer cell migration. Our findings indicate that highly expressed GPX8 in lung cancer cells and fibroblasts functions as a pro‐metastatic factor in lung cancer. JQ1 is identified as a potential inhibitor against GPX8‐mediated lung cancer metastasis.

Tumor microenvironment in lung cancer-derived brain metastasis.

Brain metastasis (BM) is the leading cause of mortality in lung cancer patients. The process of BM (from initial primary tumor development, migration and intravasation, dissemination and survival in the bloodstream, extravasation, to colonization and growth to metastases) is a complex process for which few tumor cells complete the entire process. Recent research on BM of lung cancer has recently stressed the essential role of tumor microenvironment (TME) in assisting tumor cells in the completion of each BM step. This review summarizes recent studies regarding the effects of TME on tumor cells in the entire process of BM derived from lung cancer. The identification of vulnerable targets in the TME and their prospects to provide novel therapeutic opportunities are also discussed.

Risk factors for early mortality of lung cancer patients in France: A nationwide analysis.

Despite therapeutic advances, lung cancer remains the first cause of death from cancer. The main objective of this study was to identify risk factors associated with death within 3-months of the first hospitalization for lung cancer in France. This analysis included patients with a first hospitalization for lung cancer (between January 1, 2016 and December 31, 2018) according to diagnosis-related groups entered into the French national medical-administrative database. Clinical and socioeconomic parameters and characteristics of that first hospitalization were analyzed. A model predictive of early mortality was developed based on those variables. The 144,087 included patients were 67% men; median age of 68 [interquartile range 60-76] years; 47% had metastatic disease at diagnosis; and 34% and 23%, respectively, had received systemic treatment or undergone curative surgery. The 3-month mortality was 19%, and significantly higher for those ≥70 versus <70 years old (OR 1.33, 1.22-1.45), men versus. women (OR 1.50, 1.44-1.55), those with metastatic disease at diagnosis (OR, 3.30, 3.18-3.43), first hospitalization via the emergency room (OR 1.65 1.59-1.71) and first hospitalization lasting >30 days (OR, 1.58 1.49-1.68). In contrast, no socioeconomic characteristic was associated with early mortality. Almost 1 in 5 patients diagnosed with lung cancer in France died within 3months post-diagnosis. Improving survival requires diagnosis at an earlier stage and better organization of diagnosis and specific care pathways.

Circulating D-Dimers Increase the Risk of Mortality and Venous Thromboembolism in Patients With Lung Cancer: A Systematic Analysis Combined With External Validation.

BackgroundD-dimer is a fibrin-degrading substance that is soluble and whose degradation is produced by plasma protein-mediated degradation of cross-linked fibrin. Previous investigations have shown a link between D-dimer and the mortality in lung cancer patients. However, different investigations varied whether D-dimer could predict prognosis in these patients.MethodsA meta-analysis and systematic review of all available cohort studies were performed on the link between circulating D-dimer levels and survival of lung cancer patients. Relevant studies were searched in Embase, Cochrane Library, and PubMed databases. Data from 540 lung cancer patients from the First Hospital of Soochow University and Sichuan Cancer Hospital were used for external validation.ResultsWe finally obtained 19 eligible cohort studies with pooled HR showing that high D-dimer levels contribute to death in tumor group (HR 1.62, 95% CI: 1.39–1.88, I2 = 75.0%). Further stratified analysis showed that higher circulating D-dimer in the advanced lung cancer group was linked to a 1.91-fold risk (HR = 2.91, 95% CI: 2.24–3.78, I2 = 6.0%). Incorporation of other variables, including days of follow-up, country, design, public year, population, disease status, and quality score, into the meta-regression model, indicated that disease status was an additional source of heterogeneity (p < 0.001). External validation of 540 patients also showed that high levels of D-dimer showed a higher risk of overall mortality (HR 1.39, 95% CI: 1.13–1.72, p = 0.002) and VTE events (HR 3.98, 95% CI: 1.99–8.70, p = 0.002) in lung cancer patients.ConclusionsHigh circulating plasma D-dimer levels independently predict long-term prognosis and the risk of venous thromboembolism in lung cancer.

Lymphocyte percentage as a valuable predictor of prognosis in lung cancer.

Lymphocytes and neutrophils are involved in the immune response against cancer. This study aimed to investigate the relationship between lymphocyte percentage/neutrophil percentage and the clinical characteristics of lung cancer patients, and to explore whether they could act as valuable predictors to ameliorate lung cancer prognosis. A total of 1312 patients were eligible to be recruited. Lymphocyte percentage and neutrophil percentage were classified based on their reference ranges. Survival curves were determined using Kaplan–Meier method, and univariate and multivariate cox regression analyses were performed to identify the significant predictors. Decision curve analysis was used to evaluate the clinical benefit. The results of both training and validation cohorts indicated that lymphocyte percentage exhibited high correlation with clinical characteristics and metastasis of lung cancer patients. Both lymphocyte percentage and neutrophil percentage were closely associated with survival status (all p < 0.0001). Low lymphocyte percentage could act as an indicator of poor prognosis; it offered a higher clinical benefit when combined with the clinical characteristic model. Our findings suggested that pretreatment lymphocyte percentage served as a reliable predictor of lung cancer prognosis, and it was also an accurate response indicator in lung adenocarcinoma and advanced lung cancer. Measurement of lymphocyte percentage improved the clinical utility of patient characteristics in predicting mortality of lung cancer patients.

Risk factors for in‐hospital mortality in patients with advanced lung cancer with interstitial pneumonia undergoing systemic chemotherapy: A retrospective and observational study using a nationwide administrative database in Japan

BackgroundThe safety profile of systemic chemotherapy for lung cancer patients with interstitial pneumonia (IP) in clinical practice remains unclear. Using Diagnostic Procedure Combination (DPC) data from the Japanese administrative database, we investigated the mortality of hospitalized lung cancer patients with IP as they underwent a course of systemic chemotherapy nationwide.MethodsThe DPC data of patients with stage IIIB or IV lung cancer as defined by the Union for International Cancer Control Tumor‐Nodes‐Metastases 6th and 7th editions from April 2014 to March 2016 were obtained. Among those patients, only patients with concomitant IP and receiving systemic chemotherapy without radiotherapy were included.ResultsAmong 1524 included patients, 70 (4.6%) died in the hospital. Multivariate analysis revealed that low activities of daily living (ADL) scores on admission (hazard ratio [HR] 2.26, 95% confidence interval [CI] 1.24–4.12, p = 0.008) and high‐dose corticosteroid therapy following chemotherapy (HR 2.62, 95% CI 1.44–4.77, p = 0.002) were strongly associated with in‐hospital mortality. It was determined that patients possibly received high‐dose corticosteroids for IP exacerbations; these patients had a higher in‐hospital mortality rate of 67.7% (21/31 patients) and a significantly shorter median survival time of 55 days (95% CI 31–69 days, p < 0.001) than those who did not receive high‐dose corticosteroids.ConclusionAcute exacerbation of IP treated with systemic high‐dose corticosteroids is significantly associated with in‐hospital mortality, and a low ADL score on admission is a risk factor for in‐hospital mortality in lung cancer patients with IP who undergo systemic chemotherapy.

Gut microbiome functionality might be associated with exercise tolerance and recurrence of resected early-stage lung cancer patients

Impaired exercise tolerance and lung function is a marker for increased mortality in lung cancer patients undergoing lung resection surgery. Recent data suggest that the gut-lung axis regulates systemic metabolic and immune functions, and microbiota might alter exercise tolerance. Here, we aimed to evaluate the associations between gut microbiota and outcomes in lung cancer patients who underwent lung resection surgery. We analysed stool samples, from 15 early-stage lung cancer patients, collected before and after surgical resection using shotgun metagenomic and Internal Transcribed Spacer (ITS) sequencing. We analysed microbiome and mycobiome associations with post-surgery lung function and cardiopulmonary exercise testing (CPET) to assess the maximum level of work achieved. There was a significant difference, between pre- and post-surgical resection samples, in microbial community functional profiles and several species from Alistipes and Bacteroides genus, associated with the production of SCFAs, increased significantly in abundance. Interestingly, an increase in VO2 coincides with an increase in certain species and the "GABA shunt" pathway, suggesting that treatment outcome might improve by enriching butyrate-producing species. Here, we revealed associations between specific gut bacteria, fungi, and their metabolic pathways with the recovery of lung function and exercise capacity.

COVID and Lung Cancer.

Purpose of ReviewSince the past year, the fast spread of coronavirus disease 2019 (COVID-19) has represented a global health threat, especially for cancer patients, that has required an urgent reorganization of clinical activities. Here, we will critically revise the profound impact that the pandemic has generated in lung cancer patients, as well the most significant challenges that oncologists have to face to maintain the highest possible standards in the management of lung cancer patients in the pandemic era.Recent FindingsEvidences suggested a higher susceptibility and mortality of lung cancer patients due to COVID-19. The hard management of this patient population has been also due to the potential cross interference of anti-tumor drugs on SARS-Cov-2 infection and to the differential diagnosis between COVID-19 pneumonitis and drug-related pneumonitis.SummaryCOVID-19 pandemic has generated a profound reshaping of oncological activities and the development of recommendations by the oncology scientific community to prioritize anti-tumor treatments for lung cancer patients.

Serum Total SOD Activity and SOD1/2 Concentrations in Predicting All-Cause Mortality in Lung Cancer Patients.

Redox status disturbances are known during carcinogenesis and may have influence on patients’ survival. However, the prediction of mortality in lung cancer patients based on serum total SOD activity, and concentrations of its isoforms, has not been studied to date. This prospective cohort study has following aims: (1) to evaluate the disturbances in serum SOD activity and SOD1/2 concentrations; (2) to assess the implications of these alterations with regard to biochemical variables and clinical data, and (3) to investigate the association between serum SOD activity, SOD1/2 concentrations, and all-cause mortality in lung cancer patients. Serum total SOD activity and SOD1, SOD2, albumin, CRP, and ceruloplasmin concentrations were determined in lung cancer patients (n = 190) and control subjects (n = 52). Additionally, patients were characterized in terms of biochemical, clinical, and sociodemographic data. Multiple Cox regression models were used to estimate the association between all-cause death and SOD-related parameters. All-cause mortality in lung cancer was positively associated with serum SOD1 and SOD2 concentrations. Clinical stage III and IV disease was the strongest predictor. The utility of the evaluated parameters in predicting overall survival was demonstrated only for SOD1. Serum SOD1 and SOD2 concentrations were shown to positively affect all-cause mortality in lung cancer patients, but SOD1 seems to be a better predictor than SOD2.

The role of multimorbidity in short-term mortality of lung cancer patients in Spain: a population-based cohort study

AimChronic diseases often occur simultaneously and tend to be associated with adverse health outcomes, but limited research has been undertaken to understand their role in lung cancer mortality. Therefore, this study aims to describe the prevalence and patterns of having one (comorbidity) or ≥ 2 chronic diseases (multimorbidity) among lung cancer patients in Spain, and to examine the association between comorbidity or multimorbidity and short-term mortality risk at six months after cancer diagnosis.MethodsIn this population-based cohort study, data were drawn from two Spanish population-based cancer registries, Girona and Granada, and electronic health records. We identified 1259 adult lung cancer patients, diagnosed from 1st January 2011 to 31st December 2012. We identified the most common patterns of individual comorbidities and their pairwise correlations. We used a flexible parametric modelling approach to assess the overall short-term mortality risk 6 months after cancer diagnosis by levels of comorbidity after adjusting for age, sex, smoking status, province of residence, surgery, cancer stage, histology, and body mass index.ResultsWe found high prevalence of comorbidity in lung cancer patients, especially among the elderly, men, those diagnosed with advanced-stage tumours, smokers, and obese patients. The most frequent comorbidities were chronic obstructive pulmonary disease (36.6%), diabetes (20.7%) and heart failure (16.8%). The strongest pairwise correlation was the combination of heart failure with renal disease (r = 0.20, p < 0.01), and heart failure with diabetes (r = 0.16, p < 0.01). Patients with either one or two or more comorbidities had 40% higher overall mortality risk than those without comorbidities (aHR for comorbidity: 1.4, 95%CI: 1.1–1.7; aHR for multimorbidity: 1.4, 95%CI: 1.1–1.8), when relevant confounding factors were considered.ConclusionsThe presence of comorbid diseases, rather than the number of comorbidities, was associated with increasing the risk of short-term lung cancer mortality in Spain. Comorbidity was a consistent and independent predictor of mortality among lung cancer patients, six months after diagnosis. The most common comorbid conditions were age-, obesity- and tobacco-related diseases. Our findings highlight the need to develop targeted preventive interventions and more personalised clinical guidelines to address the needs of lung cancer patients with one or more comorbidities in Spain.

Higher mortality in lung cancer patients with COVID-19? A systematic review and meta-analysis

ObjectiveGiven that the coronavirus disease 2019 (COVID-19) mainly spreads through the respiratory system and is associated with severe pulmonary complications, lung cancer patients may have worse outcomes than those with other tumors. There is no confirmed evidence about the mortality comparison between COVID-19 patients with lung cancer and other tumors. We performed a systematic review and pooled analysis to provide precise estimates of the mortality rate of COVID-19 patients with lung cancer and other tumors. Materials and MethodsOur study systemically included and reviewed 13 studies on the characteristics of COVID-19 patients with lung cancer published up to November 1, 2020. The primary endpoint was all-cause mortality. We also compared the all-cause mortality rates in China and other regions as a secondary endpoint. The mortality rate was assessed with a fixed-effects model, which was used to derive the pooled mortality and 95 % confidence interval (CI). ResultsThirteen studies from different countries, involving 1,229 patients with both COVID-19 and cancer, were selected for the pooled analysis. A total of 343 deaths were recorded in this population: 86 for lung cancers and 257 for other tumors. The mortality rate varies from 18 % to 60 % for patients with lung cancer and COVID-19 and 10%–41% for other tumor patients with COVID-19. The overall meta-analysis did not show a significant mortality difference for the lung cancer and other tumor subgroups (OR = 1.47, 95 %CI = 0.98–2.20, p = 0.06, I2 = 23 %). Nevertheless, in regions other than China, the pooled mortality of lung cancer patients with COVID-19 was 42 %, which was significantly higher than that of other tumors (24 %) (OR = 2.73, 95 % CI = 1.54–4.86, p = 0.0006, I2 = 16 %). ConclusionAppropriate and aggressive preventive measures should be implemented to reduce the risk of COVID-19 in patients with cancer and optimally manage those who contract the infection.

Does Delaying Time in Cancer Treatment Affect Mortality? A Retrospective Cohort Study of Korean Lung and Gastric Cancer Patients.

The aim of this study is to investigate the association between delays in surgical treatment and five- and one- year mortality in patients with lung or gastric cancer. The National Health Insurance claims data from 2006 to 2015 were used. The association between time to surgical treatment, in which the cut-off value was set at average time (30 or 50 days), and five year mortality was analyzed using the Cox proportional hazard model. Subgroup analysis was performed based on treatment type and location of medical institution. A total of 810 lung and 2659 gastric cancer patients were included, in which 74.8% of lung and 71.2% of gastric cancer patients received surgery within average. Compared to lung cancer patients who received treatment within 50 days, the five-year (HR 1.826, 95% CI 1.437–2.321) mortality of those who received treatment afterwards was higher. The findings were not significant for gastric cancer based on the after 30 days standard (HR: 1.003, 95% CI: 0.822–1.225). In lung cancer patients, time-to-treatment and mortality risk were significantly different depending on region. Delays in surgical treatment were associated with mortality in lung cancer patients. The findings imply the importance of monitoring and assuring timely treatment in lung cancer patients.

Factors leading to the risk of stroke mortality: a cross-sectional study with lung cancer patient-based large sample.

To identify the risk factors for stroke mortality among lung cancer patients on the basis of the Surveillance, Epidemiology, and End Results (SEER) database. The clinical data of lung cancer patients diagnosed between 2004 and 2016 were collected in the SEER database. The stroke mortality of lung cancer patients was compared with the general population using standardized mortality ratios (SMRs). COX proportional hazard model was applied to analyze the risk factors for stroke mortality among lung cancer patients. Among 82 454 patients, 4821 (5.85%) died of stroke. The stroke mortality rate in lung cancer patients significantly increased compared with the general population [SMR: 1.73, 95% confidential interval (95% CI), 1.69–1.78]. Differences were pronounced between the patients with stroke death and those without regarding all the basic characteristics (P < 0.001). Multivariate COX analysis showed that the risk factors for stroke mortality among lung cancer patients included increasing age, males, the black, grade II–III, distant metastasis and higher American Joint Committee on Cancer (AJCC) TNM stage, whereas adenocarcinoma was found to be a protective factor compared with squamous cell carcinoma. Increasing age, males, the black, grade II–III, distant metastasis and higher TNM stage are associated with an increased risk of stroke mortality among lung cancer patients, but adenocarcinoma with a lowered risk.