[Representativeness of the Spanish Thoracic Tumour Registry. Comparison of sociodemographic data with other national registries]

Analysis of Diagnostic Delay and its Impact on Lung Cancer Survival: Results From the Spanish Thoracic Tumor Registry

BACKGROUND

Early detection is crucial to improve lung cancer survival rates. Delays in diagnosis might negatively impact the prognosis of the disease. This study aims to analyze the diagnostic delay in lung cancer patients and describe if there is an association between delay and survival.

METHODS

The data source used was the Thoracic Tumor Registry of the Spanish Lung Cancer Group. This analysis was restricted to lung cancer cases with information on the first date of consultation by symptoms and date of diagnosis. The delay was calculated as the number of days between the two dates. A descriptive analysis was performed, and ordinal logistic regressions were fitted with delay as the dependent variable. Kaplan-Meier survival analysis and Cox regression were performed.

RESULTS

22,755 lung cancer cases were included. Never smokers were 1.16 (95%CI: 1.06-1.27) times more likely to register longer delay than smokers. Stage 0-I-II cases had a 3.09 (95%CI: 2.88-3.32) higher risk of longer delay compared to III-IV stages. Overall, 5-year survival rate after diagnosis was 23.64% (95%CI: 22.88-24.41). In those categorized as having the shortest delay 5-year survival was 17.67% (95%CI: 16.31-19.07) and in the extreme delay it was 32.98% (95%CI: 31.28-34.69) (p<0.001). Adjusted mortality risk was higher in those with the shortest delay (HR 1.36, CI95%: 1.30-1.43) in comparison with the extreme delay.

CONCLUSIONS

Diagnostic delay is short among Spanish lung cancer patients, indicating a relatively quick diagnostic process. Extreme delays appear to be associated with higher survival rates, possibly attributed to slow-growing tumors, earlier stage at diagnosis or basically the natural history of this disease.

Describing differences among populations of thoracic tumors patients under and over 80 years: Data analysis from the SLCG thoracic tumor registry

OBJECTIVES

Cancer is a disease of old age; however, most studies usually included minority of patients fit elderly. The purpose is to investigate the clinical characteristics and genetic information of patients with thoracic tumors who are 80 years old or older compared to those under 80 years old.

STUDY DESIGN AND METHODS

The Thoracic Tumor Registry (TTR) is a Spanish observational, prospective cohort study that included patients diagnosed with thoracic tumors. Data were collected from medical records related to sociodemographic, epidemiological, clinical, molecular/genetic, and treatment outcome variables.

RESULTS

The total number of patients, recruited from August 2016 to April 2023, was 26.193 (93,1 % were younger than 80 years and 6,9 % were 80 years or older). In the group of older patients: the male ratio increased (72,9 % vs. 80 %); the number of elderly people who had never smoked or were ex-smokers increased (9,9 % vs. 21,1 % and 44,8 % vs. 61,3 %, respectively) and the number of current smokers decreased (43,3 % vs. 17,5 %); had higher ECOG performance status at diagnosis (for ECOG ≥ 2, 15 % vs. 32,9 %), and there were more patients with previous cancer (17,3 % vs. 28 %). The proportion of men is higher than that of women (73 % vs. 27 % in <80 years and 80 % vs. 20 % in ≥80 years). For all biomarkers, the proportion of patients who had a molecular determination was lower in older patients. There were no differences in terms of alterations in the biomarkers tested; except for EGFR, for which the positivity rate was higher in patients aged 80 years and older (25 % vs. 15,3 %).

CONCLUSION

The proportion of older patients with targeted mutations is higher. So, at least at diagnosis, it should be proceeded in a standard way. Then, when it comes to treatment, comorbidities and patient's baseline situation should be considered.

CLINICAL TRIAL REGISTRATION

NCT02941458.

Comparison of Clinical and Genetic Characteristics Between Younger and Older Lung Cancer Patients

INTRODUCTION

The aim of this study was to analyze the clinical and genetic characteristics of young lung cancer cases, and to compare them with those of older cases.

METHODS

We used the Thoracic Tumors Registry (TTR) as a data source representative of lung cancer cases diagnosed in Spain, and included all cases registered until 9/01/2023 which had information on age at diagnosis or the data needed to calculate it. We performed a descriptive statistical analysis and fitted logistic regressions to analyze how different characteristics influenced being a younger lung cancer patient.

RESULTS

A total of 26,336 subjects were included. Lung cancer cases <50 years old had a higher probability of being women (OR: 1.38; 95% CI: 1.21-1.57), being in stage III or IV (OR: 1.32; 95% CI: 1.08-1.62), not having comorbidities (OR: 5.21; 95% CI: 4.59-5.91), presenting with symptoms at diagnosis (OR: 1.53; 95% CI: 1.29-1.81), and having ALK translocation (OR: 7.61; 95% CI: 1.25-46.32) and HER2 mutation (OR: 5.71; 95% CI: 1.34-24.33), compared with subjects ≥50 years. Among subjects <35 years old (n=61), our study observed a higher proportion of women (59.0% vs. 26.6%; p<0.001), never smokers (45.8% vs. 10.3%; p<0.001), no comorbidities (21.3% vs. 74.0%; p<0.001); ALK translocation (33.3% vs. 4.4%; p<0.001) and ROS1 mutation (14.3% vs. 2.3%; p=0.01), compared with subjects ≥35 years.

CONCLUSIONS

Lung cancer displays differences by age at diagnosis which may have important implications for its clinical management.