Lung cancer among native and foreign-born Swedes: histopathology, treatment, and survival

Patterns of care and outcomes in immigrants with non-small cell lung cancer. A population-based study (Sweden)

OBJECTIVES

While studies have found lower cancer risks and better cancer survival in immigrant populations, it is debated whether cancer care is offered on equal terms to all residents regardless of background. Our aim was to study patterns of care and outcomes in immigrants in a country with a tax-financed universal health care system.

MATERIAL AND METHODS

We used a population-based database to compare clinical presentation, management and mortality between Swedish-born and immigrant patients with non-small cell lung cancer (NSCLC). Analyses were adjusted for potential confounders.

RESULTS

We identified 40,075 patients diagnosed with NSCLC of which 84% were born in Sweden, 7% in Nordic and 9% in Non-Nordic countries. Non-Nordic immigrants were to a higher extent male, smokers, younger at diagnosis, had a better performance status and a higher educational level. No differences were seen regarding comorbidity burden or stage at diagnosis. Non-Nordic immigrants more often underwent positron emission tomography (PET) (aHR 1.32; 95% CI 1.19-1.45) and were more often discussed in a multidisciplinary team setting (aHR 1.30; 95% CI 1.17-1.44). There were no differences in treatment modalities following adjustment for age, with the exception of concurrent chemoradiotherapy in stage IIIA disease which was more common in Non-Nordic immigrants (aOR 1.34; 95% CI 1.03-1.74). Both overall and cause specific survival in non-metastatic disease were higher among Non-Nordic immigrants. Overall mortality in stage I-II: HR 0.81; 95% CI 0.73-0.90 and stage IIIA: HR 0.75; 95% CI 0.65-0.86. Following full adjustments, cause-specific mortality in stage I-II was aHR 0.86, 95% CI 0.75-0.98.

CONCLUSION

Taken together, only minor differences in management and outcomes were observed between Swedish-born and immigrant patients. We conclude that lung cancer care is offered on equal terms. If anything, outcomes were better in Non-Nordic immigrants with early stage NSCLC.

Epidemiology and Survival Outcomes for Patients With NSCLC in Scandinavia in the Preimmunotherapy Era: A SCAN-LEAF Retrospective Analysis From the I-O Optimise Initiative

Introduction

SCAN-LEAF, part of the I-O Optimise initiative, is a retrospective, longitudinal study investigating the epidemiology, clinical care, and outcomes for patients with NSCLC in Scandinavia. We report overall survival (OS) trends for patients diagnosed with NSCLC in Sweden and Denmark between 2005 and 2015.

Methods

Swedish and Danish cohorts were established by linking national registries. Data on all adults diagnosed with incident NSCLC from January 1, 2005, to December 31, 2015, were included. For temporal analyses of OS trends, patients were stratified by TNM stage and histology.

Results

Between 2005 and 2015, a total of 30,067 and 31,939 patients from Sweden and Denmark, respectively, were diagnosed with NSCLC; the most common histological subtype was nonsquamous cell carcinoma (56.9% and 53.0%) and 48.4% and 51.6% were diagnosed at stage IV. Over the study period, significant improvements in short-term survival (1 y) were observed for patients with nonsquamous cell carcinoma in both countries, regardless of disease stage at diagnosis; however, improvements in longer-term survival (5 y) were limited to patients with stage I and II disease only. Conversely, among patients with squamous cell histology, improvements in short-term survival were only observed for stage I disease in Sweden and stage IIIA disease in Denmark, while significant improvements in longer-term survival were seen only for stage IIIA NSCLC in both countries.

Conclusions

Despite some survival improvements between 2005 and 2015, an unmet need remains for patients with advanced NSCLC, particularly those with squamous cell histology. Future analyses will evaluate the impact of newer treatments on OS in NSCLC.

Treatment patterns and survival outcomes for patients with non-small cell lung cancer in the UK in the preimmunology era: a REAL-Oncology database analysis from the I-O Optimise initiative

OBJECTIVES

To report characteristics, treatment and overall survival (OS) trends, by stage and pathology, of patients diagnosed with non-small cell lung cancer (NSCLC) at Leeds Teaching Hospital NHS Trust in 2007-2018.

DESIGN

Retrospective cohort study based on electronic medical records.

SETTING

Large NHS university hospital in Leeds.

PARTICIPANTS

3739 adult patients diagnosed with incident NSCLC from January 2007 to August 2017, followed up until March 2018.

MAIN OUTCOME MEASURES

Patient characteristics at diagnosis, treatment patterns and OS.

RESULTS

34.3% of patients with NSCLC were clinically diagnosed (without pathological confirmation). Among patients with known pathology, 45.2% had non-squamous cell carcinoma (NSQ) and 33.3% had squamous cell carcinoma (SQ). The proportion of patients diagnosed at stage I increased (16.4%-27.7% in 2010-2017); those diagnosed at stage IV decreased (57.0%-39.1%). Surgery was the most common initial treatment for patients with pathologically confirmed stage I NSCLC. Use of radiotherapy alone increased over time in patients with clinically diagnosed stage I NSCLC (39.1%-60.3%); chemoradiation increased in patients with stage IIIA NSQ (21.6%-33.3%) and SQ (24.2%-31.9%). Initial treatment with systemic anticancer therapy (SACT) increased in patients with stages IIIB-IV NSQ (49.0%-67.5%); the proportion of untreated patients decreased (30.6%-15.0%). Median OS improved for patients diagnosed with stage I NSQ and SQ and stage IIIA NSQ over time. Median OS for patients with stages IIIB-IV NSQ and SQ remained stable, <10% patients were alive 3 years after diagnosis. Median OS for clinically diagnosed stages IIIB-IV patients was 1.2 months in both periods.

CONCLUSIONS

OS for stage I and IIIA patients improved over time, likely due to increased use of stereotactic ablative radiation, surgery (stage I) and chemoradiation (stage IIIA). Conversely, OS outcomes remained poor for stage IIIB-IV patients despite increasing use of SACT for NSQ. Many patients with advanced-stage disease remained untreated.

Predict multicategory causes of death in lung cancer patients using clinicopathologic factors

BACKGROUND

Random forests (RF) is a widely used machine-learning algorithm, and outperforms many other machine learning algorithms in prediction-accuracy. But it is rarely used for predicting causes of death (COD) in cancer patients. On the other hand, multicategory COD are difficult to classify in lung cancer patients, largely because they have multiple labels (versus binary labels).

METHODS

We tuned RF algorithms to classify 5-category COD among the lung cancer patients in the surveillance, epidemiology and end results-18, whose lung cancers were diagnosed in 2004, for the completeness in their follow-up. The patients were randomly divided into training and validation sets (1:1 and 4:1 sample-splits). We compared the prediction accuracy of the tuned RF and multinomial logistic regression (MLR) models.

RESULTS

We included 42,257 qualified lung cancers in the database. The COD were lung cancer (72.41%), other causes or alive (14.43%), non-lung cancer (6.85%), cardiovascular disease (5.35%), and infection (0.96%). The tuned RF model with 300 iterations and 10 variables outperformed the MLR model (accuracy = 69.8% vs 64.6%, 1:1 sample-split), while 4:1 sample-split produced lower prediction-accuracy than 1:1 sample-split. The top-10 important factors in the RF model were sex, chemotherapy status, age (65+ vs < 65 years), radiotherapy status, nodal status, T category, histology type and laterality, all of which except T category and laterality were also important in MLR model.

CONCLUSION

We tuned RF models to predict 5-category CODs in lung cancer patients, and show RF outperforms MLR in prediction accuracy. We also identified the factors associated with these COD.