General population reference values for the Functional Assessment of Cancer Therapy-Lung and PROMIS-29

Comparing the EORTC QLQ-LC13, EORTC QLQ-LC29, and the FACT-L for assessment of quality of life in patients with lung cancer - an updated systematic review

PURPOSE OF REVIEW

Two commonly used quality of life (QoL) questionnaires in lung cancer patients are the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire Lung Cancer 13 (QLQ-LC13) and the Functional Assessment of Cancer Therapy-Lung (FACT-L). More recently, the EORTC QLQ-LC29 was developed. This systematic review compares the EORTC QLQ-LC29, EORTC QLQ-LC13 and FACT-L in terms of the content, validity and psychometric properties in assessing the QoL of lung cancer patients.

RECENT FINDINGS

Fourteen studies were included. The EORTC QLQ-LC29 is a 29-item scale that serves as an update of the EORTC QLQ-LC13 to include symptoms from surgery and new targeted therapies. It shows validity, high internal consistency, test-retest reliability, and sensitivity. The FACT-L continues to assess general quality of life and lung cancer-specific symptoms.

SUMMARY

The EORTC QLQ-LC29, EORTC QLQ-LC13, and FACT-L were reviewed to assess their validity in measuring QoL of lung cancer patients. All were found to be sufficiently validated, The choice of which to use should depend on the primary goals of the study.

ALKTERNATE: A Pilot Study Alternating Lorlatinib With Crizotinib in ALK-Positive NSCLC With Prior ALK Inhibitor Resistance

Introduction

ALK-positive lung cancers represent a molecularly diverse disease. With drug exposure, driving selection pressure, and resistance pathways, disease relapse will emerge. There is compelling rationale to investigate novel treatment strategies, informed by dynamic circulating tumor DNA (ctDNA) monitoring.

Methods

The single-arm, pilot study ALKTERNATE investigated fixed alternating cycles of lorlatinib intercalated with crizotinib in individuals resistant to second-generation ALK inhibitors. Dynamic ctDNA explored the correlation with disease response and disease recurrence and defined disease resistance. The primary outcome was time-to-treatment failure, a composite of tolerability, feasibility, and efficacy. Secondary outcomes included standard survival measures, toxicity, pharmacokinetic analysis, and patient-reported outcomes. Tertiary outcomes were proteogenomic analyses of tissue and plasma.

Results

A total of 15 individuals were enrolled; three encountered primary resistance to lorlatinib induction. There were 12 participants who received alternating therapy, and this approach revealed safety, feasibility, and effectiveness. Patient-reported outcomes were maintained or improved on therapy, and toxicity was consistent with previous reports. The pharmacokinetic measures were similar to the single-arm drug experience. Median time-to-treatment failure was 10 months; overall survival was 23 months. ctDNA profiles indicated inferior survival in those with preexistent TP53 mutations and those without clear or cleared ctDNA at trial induction. The study defined a vastly heterogeneous population with an abundance of ALK coexisting with non-ALK resistance variants.

Conclusions

ALKTERNATE revealed feasibility with a novel alternating ALK inhibitor strategy in ALK-positive NSCLC. Results support progressing inquiry into this approach and propose a flexible design with drug(s) selected and alternating time frames, informed by real-time plasma profiling. Moving this concept to treatment naive may also optimize impact.

Patient-reported outcomes in advanced NSCLC before and during the COVID-19 pandemic: Real-world data from the German prospective CRISP Registry (AIO-TRK-0315)

Patients with lung cancer under treatment have been associated with a high risk of COVID-19 infection and potentially worse outcome, but real-world data on patient-reported outcomes (PROs) are rare. We assess patients' characteristics and PROs before and during the COVID-19 pandemic in an advanced non-small cell lung cancer (NSCLC) cohort in Germany. Patients with locally advanced or metastatic NSCLC from the prospective, multicentre, observational CRISP Registry (NCT02622581) were categorised as pre-pandemic (March 2019 to Feb 2020, n = 1621) and pandemic (March 2020 to Feb 2021, n = 1317). From baseline to month 15, patients' health-related quality of life (HRQoL) was assessed by FACT-L, anxiety and depression by PHQ-4. Association of pandemic status with time to deterioration (TTD) in QoL scales adjusted for potential covariates was estimated using Cox modelling. PROs were documented for 1166 patients (72%) in the pre-pandemic, 979 (74%) in the pandemic group. Almost 60% of patients were male, median age was 66 years, comorbidities occurred in 85%. Regarding HRQoL, mean-change-from-baseline plots hardly differed between both samples. Approximately 15%-21% of patients reported anxiety, about 19%-27% signs of depression. For the pandemic group, TTD was slightly, but statistically significantly, worse for the physical well-being-FACT-G subscale (HR 1.15 [95%CI 1.02-1.30]) and the anxiety-GAD-2 subscale (HR 1.14 [95%CI 1.01-1.29]). These prospectively collected real-world data provide valuable insights into PROs before and during the COVID-19 pandemic in advanced NSCLC. For the patients, the pandemic seemed to be less of a burden than the disease itself, as there was a considerable proportion of patients with anxiety and depression in both groups.

Trends and predictors of Quality of Life in lung cancer survivors

INTRODUCTION

Health-related quality of life (HR-QoL) is often impaired in lung cancer survivors. To inform personalized survivorship care, we identified associations between HR-QoL scores and patient-, tumor-, and treatment-factors over time.

MATERIALS AND METHODS

We evaluated HR-QoL scores provided at diagnosis, 6 months, 1 year, and 2 years from the Yale Lung Cancer Biorepository. HR-QoL was measured via the Functional Assessment of Cancer Therapy - Lung (FACT-L) instrument and available for a subset of patients (n = 513). Analyses were stratified by early-stage (I-II; n = 355) non-small cell lung cancer (NSCLC), advanced stage NSCLC (III-IV; n = 158), and small cell lung cancer (SCLC, n = 21). We used mixed effects modeling and multivariable analysis with covariate adjustment to examine changes in FACT-L from diagnosis to follow-up. Sensitivity analysis was performed including patients with early-stage disease and complete FACT-L scores at both baseline and year 2 (n = 91).

RESULTS

The average FACT-L scores at diagnosis in early-stage NSCLC, advanced stage NSCLC, and SCLC were 121.0 (standard deviation (SD) 11.4), 109.2 (18.7), and 98.7 (20.2) respectively. At all timepoints, HR-QoL was higher in patients with early-stage NSCLC (vs advanced-stage disease). In patients with early- and advanced-stage NSCLC, HR-QoL was higher at years 1 and 2 than at diagnosis, though the changes did not meet clinical significance. At NSCLC diagnosis, higher HR-QoL was associated with older age, better performance status, participating in physical activity, adenocarcinoma histology, and (in advanced stage NSCLC) anticipated treatment with chemotherapy. At NSCLC follow-up, HR-QoL was higher in patients with higher BMI and better performance status.

DISCUSSION

In patients with newly diagnosed NSCLC, HR-QoL scores are impacted by patient factors, tumor factors, and treatment factors. HR-QoL is higher in patients with early-stage disease. In patients surviving 2 years, HR-QoL was higher at follow-up, though the change did not meet clinical significance. To optimize HR-QoL, lung cancer survivorship teams should prioritize comorbidity management, physical activity, healthy weight maintenance, and treatment-related side effects.

EORTC QLQ-C30 general population normative data for the United States

OBJECTIVE

The European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30 is a frequently used cancer-specific health-related quality of life (HRQoL) questionnaire. To aid interpretation of data obtained via EORTC QLQ-C30, general population norm data have been published for many countries. However, despite its frequent use in the United States, no normative data by sex and age exist to date. Therefore, this study aimed to generate sex- and age-specific EORTC QLQ-C30 normative data for the United States.

METHODS

Recruitment and data collection were carried out via online panels as part of a larger cross-sectional study. For the recruitment, the sample was stratified by sex and age (18-39, 40-49, 50-59, 60-69, ≥ 70 years) to achieve a balanced distribution, with n = 100 per subgroup. Descriptive statistics are presented by age and age/sex.

RESULTS

A total of N = 1009 respondents completed the survey (n = 508 females, n = 501 males). More than two thirds of participants (72.5%) reported at least one health condition, e.g., arthritis (26%). Across EORTC QLQ-C30 scales, women and men 60 years and older reported generally better/higher functioning and better/lower symptom scores compared to the younger age groups.

CONCLUSION

To date, no specific EORTC QLQ-C30 general population normative data have been published for the United States. This paper provides these important normative data, which will greatly support the interpretation of EORTC QLQ-C30 scale scores obtained from US cancer patients, and also enable comparison with European norms.