Nebibe Varol

Winifred W. Yu was not included as an author in the original publication

Background: This study aimed to estimate the relative efficacy of neoadjuvant nivolumab in combination with chemotherapy (neoNIVO + CT) compared to relevant treatments amongst resectable non-metastatic non-small-cell lung cancer (rNSCLC) patients. Methods: Treatment comparisons were based on a network meta-analysis (NMA) using randomized clinical trial data identified via systematic literature review (SLR). The outcomes of interest were event-free survival (EFS) and pathological complete response (pCR). NeoNIVO + CT was compared to neoadjuvant chemotherapy (neoCT), neoadjuvant chemoradiotherapy (neoCRT), adjuvant chemotherapy (adjCT), and surgery alone (S). Due to the potential for effect modification by stage, all-stage and stage-specific networks were considered. Fixed-effect (FE) and random-effects Bayesian NMA models were run (EFS = hazard ratios [HR]; pCR = odds ratios [OR]; 95% credible intervals [CrI]). Results: Sixty-one RCTs were identified (base case = 9 RCTs [n = 1978 patients]). In the all-stages FE model, neoNIVO + CT had statistically significant EFS improvements relative to neoCT (HR = 0.68 [95% CrI: 0.49, 0.94]), S (0.59 [0.42, 0.82]), adjCT (0.66 [0.45, 0.96]), but not relative to neoCRT (HR = 0.77 [0.52, 1.16]). NeoNIVO + CT (5 RCTs) had statistically significant higher odds of pCR relative to neoCT (OR = 12.53 [5.60, 33.82]) and neoCRT (7.15 [2.31, 24.34]). Stage-specific model findings were consistent. CONCLUSIONS: This NMA signals improved EFS and/or pCR of neoNIVO + CT relative to comparators among patients with rNSCLC.

Background: The landscape of non-small cell lung cancer (NSCLC) therapy is rapidly changing. This analysis aimed to understand patient characteristics, diagnosis and treatment patterns in patients with metastatic NSCLC (mNSCLC) without EGFR and ALK mutations across five European countries. Methods: Data were drawn from the Adelphi NSCLC Disease Specific Programme™, a point-in-time survey of oncologists/pulmonologists and their consulting patients in France, Germany, Italy, Spain and UK. Physicians completed record forms (RFs) for the next six consecutive consulting patients with advanced NSCLC, who then voluntarily completed questionnaires. As an oversample, physicians provided a further ten RFs specifically for patients with EGFR-wild-type mNSCLC: five patients diagnosed before March 2020 (pre-SARS-CoV-2 [COVID-19]) and five patients diagnosed from March 2020 (during COVID-19). Only EGFR-wild-type/ALK-wild-type patients were included for analysis. Results: Mean (standard deviation [SD]) age for 1073 patients with EGFR-wild-type/ALK-wild-type mNSCLC was 66.2 (8.9) years, 65.2% were male and 63.7% had adenocarcinoma. Level of PD-L1 expression at advanced diagnosis was < 1% for 23.1% of patients, 1–49% for 40.9% and ≥ 50% for 36.0%. Most common first-line (1L) advanced treatment was chemotherapy only (36.9%), immunotherapy monotherapy (30.5%) or immunotherapy + chemotherapy (27.6%). Of 158 patients who had progressed beyond 1L therapy, the mean (SD) time-to-treatment discontinuation was 5.1 (4.3) months; 75.9% of whom completed their 1L treatment as intended. A complete response was achieved by 6.7% and a partial response by 69.2% of patients. Of 38 patients who discontinued 1L treatment early, disease progression was reported for 73.7%. Quality of life (QoL) reported by patients was generally lower than normative reference values. Of 2373 oversample patients, physicians reported management changes for 34.7% due to COVID-19, ranging from 19.6% in Germany to 79.7% in the UK. Immunotherapy was prescribed as 1L NSCLC treatment during COVID-19 for 64.2% (n = 786) of patients and pre-COVID-19, for 47.8% (n = 549). Conclusions: Real-world treatment patterns suggest that chemotherapy use remains high despite guidelines recommending immunotherapy-based 1L treatment for mNSCLC. QoL reported by patients was generally lower than population reference values. Not implying causality, 1L immunotherapy use was higher during COVID-19 than pre-COVID-19, and the UK saw the biggest impact to patient management due to COVID-19.