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Outcomes with durvalumab by tumour PD-L1 expression in unresectable, stage III non-small-cell lung cancer in the PACIFIC trial

Open access
Paz-Ares, L., Spira, A., Raben, D., Planchard, D., Cho, B.C., Özgüroğlu, M., Daniel, D., Villegas, A., Vicente, D., Hui, R., Murakami, S., Spigel, D., Senan, S., Langer, C.J., Perez, B.A., Boothman, A-M., Broadhurst, H., Wadsworth, C., Dennis, P.A., Antonia, S.J., Faivre-Finn, C.·2020·Annals of Oncology

Abstract

Background: In the PACIFIC trial, durvalumab significantly improved progression-free and overall survival (PFS/OS) versus placebo, with manageable safety, in unresectable, stage III non-small-cell lung cancer (NSCLC) patients without progression after chemoradiotherapy (CRT). We report exploratory analyses of outcomes by tumour cell (TC) programmed death-ligand 1 (PD-L1) expression. Patients and methods: Patients were randomly assigned (2:1) to intravenous durvalumab 10 mg/kg every 2 weeks or placebo ≤12 months, stratified by age, sex, and smoking history, but not PD-L1 status. Where available, pre-CRT samples were tested for PD-L1 expression (immunohistochemistry) and scored at pre-specified (25%) and post hoc (1%) TC cut-offs. Treatment-effect hazard ratios (HRs) were estimated from unstratified Cox proportional hazards models (Kaplan–Meier-estimated medians). Results: In total, 713 patients were randomly assigned, 709 of whom received at least 1 dose of study treatment durvalumab (n = 473) or placebo (n = 236). Some 451 (63%) were PD-L1-assessable: 35%, 65%, 67%, 33%, and 32% had TC ≥25%, <25%, ≥1%, <1%, and 1%–24%, respectively. As of 31 January 2019, median follow-up was 33.3 months. Durvalumab improved PFS versus placebo (primary-analysis data cut-off, 13 February 2017) across all subgroups [HR, 95% confidence interval (CI); medians]: TC ≥25% (0.41, 0.26–0.65; 17.8 versus 3.7 months), <25% (0.59, 0.43–0.82; 16.9 versus 6.9 months), ≥1% (0.46, 0.33–0.64; 17.8 versus 5.6 months), <1% (0.73, 0.48–1.11; 10.7 versus 5.6 months), 1%–24% [0.49, 0.30–0.80; not reached (NR) versus 9.0 months], and unknown (0.59, 0.42–0.83; 14.0 versus 6.4 months). Durvalumab improved OS across most subgroups (31 January 2019 data cut-off; HR, 95% CI; medians): TC ≥ 25% (0.50, 0.30–0.83; NR versus 21.1 months), <25% (0.89, 0.63–1.25; 39.7 versus 37.4 months), ≥1% (0.59, 0.41–0.83; NR versus 29.6 months), 1%–24% (0.67, 0.41–1.10; 43.3 versus 30.5 months), and unknown (0.60, 0.43–0.84; 44.2 versus 23.5 months), but not <1% (1.14, 0.71–1.84; 33.1 versus 45.6 months). Safety was similar across subgroups. Conclusions: PFS benefit with durvalumab was observed across all subgroups, and OS benefit across all but TC <1%, for which limitations and wide HR CI preclude robust conclusions.

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Authors
Paz-Ares, L., Spira, A., Raben, D., Planchard, D., Cho, B. C., Özgüroğlu, M., Daniel, D., Villegas, A., Vicente, D., Hui, R., Murakami, S., Spigel, D., Senan, S., Langer, C. J., Perez, B. A., Boothman, A.-M., Broadhurst, H., Wadsworth, C., Dennis, P. A., Antonia, S. J., & Faivre-Finn, C.
Venue
Annals of Oncology
Publisher
Elsevier BV
Published
2020-06
Volume
31
Issue
6
Pages
798-806
ISSN
0923-7534 (ISSN-L)
OpenAlex
W3010768695
Cited by
224
References
3
FWCI
10.91
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Outcomes with durvalumab by tumour PD-L1 expression in unresectable, stage III non-small-cell lung cancer in the PACIFIC trial. https://app.cochat.ai/papers/10.1016/j.annonc.2020.03.287
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Paz-Ares, L., Spira, A., Raben, D., Planchard, D., Cho, B. C., Özgüroğlu, M., Daniel, D., Villegas, A., Vicente, D., Hui, R., Murakami, S., Spigel, D., Senan, S., Langer, C. J., Perez, B. A., Boothman, A.-M., Broadhurst, H., Wadsworth, C., Dennis, P. A., . . . Faivre-Finn, C. (2020). Outcomes with durvalumab by tumour PD-L1 expression in unresectable, stage III non-small-cell lung cancer in the PACIFIC trial. Annals of Oncology. https://doi.org/10.1016/j.annonc.2020.03.287

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.