Clinical outcomes by infusion timing of immune checkpoint inhibitors in patients with advanced non-small cell lung cancer.

BACKGROUND: We aimed to determine whether immune checkpoint inhibitors (ICI) time-of-day infusion might influence the survival of patients with advanced non-small cell lung cancer (NSCLC). METHODS: We retrospectively analysed patients who received single-agent anti-PD-(L)1 therapy in any line between 2016 and 2021. We calculated by Cox regression models the association between the proportion of ICI infusions received after 16:30h and overall survival (OS) and progression-free survival (PFS). RESULTS: 180 patients were included, 77% received ICI as second- or further-line (median of 12 infusions/patient). The median age was 65 years (IQR 57-70), 112 patients (62%) were male, 165 (92%) were current or former tobacco smokers, 140 (78%) had performance status (PS) 0 or 1, 26 (14%) were on steroid therapy at ICI initiation. Histology was non-squamous for 139 (77%), the median number of metastatic sites was 3, and 33% had brain metastases. Patients who received at least 20% of ICI infusions after 16:30h (65 out of 180, 36%) had a statistically significant shorter median PFS as compared with patients receiving less than 20% of infusions in the evening (4.9 vs 9.4 months, log-rank p = 0.020), while numerical but not statistical shorter OS was observed (14.0 vs 26.2 months, log-rank p = 0.090). In the multivariate analysis, receiving at least 20% of evening infusions did not significantly increase the risk of death, while PS and line of treatment were significantly correlated with the OS. On the contrary, a proportion of ICI administration after 16:30h ≥20% conferred an HR for the PFS of 1.44 (95% CI: 1.01-2.05, p = 0.043), but this prognostic effect was not found when including in the model the total number of ICI infusions received (HR 1.20, 95% CI: 0.83-1.75, p = 0.329). CONCLUSION: Time-of-day infusion of ICI may impact the survival of patients with advanced NSCLC. Underlying prognostic characteristics and the number of infusions received could represent conceivable confounding factors, linked to increased variance related to ICI infusion timing. Nonetheless, further studies may unravel chronobiological mechanisms modulating ICI efficacy.

Impact of COVID-19 on healthcare organisation and cancer outcomes.

BACKGROUND: Changes in the management of patients with cancer and delays in treatment delivery during the COVID-19 pandemic may impact the use of hospital resources and cancer mortality. PATIENTS AND METHODS: Patient flows, patient pathways and use of hospital resources during the pandemic were simulated using a discrete event simulation model and patient-level data from a large French comprehensive cancer centre's discharge database, considering two scenarios of delays: massive return of patients from November 2020 (early-return) or March 2021 (late-return). Expected additional cancer deaths at 5 years and mortality rate were estimated using individual hazard ratios based on literature. RESULTS: The number of patients requiring hospital care during the simulation period was 13,000. In both scenarios, 6-8% of patients were estimated to present a delay of >2 months. The overall additional cancer deaths at 5 years were estimated at 88 in early-return and 145 in late-return scenario, with increased additional deaths estimated for sarcomas, gynaecological, liver, head and neck, breast cancer and acute leukaemia. This represents a relative additional cancer mortality rate at 5 years of 4.4 and 6.8% for patients expected in year 2020, 0.5 and 1.3% in 2021 and 0.5 and 0.5% in 2022 for each scenario, respectively. CONCLUSIONS: Pandemic-related diagnostic and treatment delays in patients with cancer are expected to impact patient survival. In the perspective of recurrent pandemics or alternative events requiring an intensive use of limited hospital resources, patients should be informed not to postpone care, and medical resources for patients with cancer should be sanctuarised.

AZD9291 in EGFR-mutant advanced non-small-cell lung cancer patients.

Non-small-cell lung cancer (NSCLC) patients whose tumors have an EGFR-activating mutation develop acquired resistance after a median of 9-11 months from the beginning of treatment with erlotinib, gefitinib and afatinib. T790M mutation is the cause of this resistance in approximately 60% of cases. AZD9291 is an oral, irreversible, mutant-selective EGF receptor (EGFR) tyrosine kinase inhibitor (TKI) developed to have potency against EGFR mutations, including T790M mutation, while sparing wild-type EGFR. A Phase I trial of AZD9291 in EGFR-mutant NSCLC patients, demonstrated high activity, essentially among T790M-mutant tumors, with a manageable tolerability profile. Ongoing Phase III trials are evaluating AZD9291 in EGFR-mutant patients as first-line treatment compared with erlotinib and gefitinib; and as second-line treatment compared with chemotherapy after progression on EGFR TKI in T790M-mutant tumors. Better identification of T790M-mutant tumors post EGFR TKI relapse and mechanisms of resistance to AZD9291 are the future challenges. This article reviews the emerging data regarding AZD9291 in the treatment of patients with advanced NSCLC.