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. 2023 Sep 1;29(17):3352-3361.
doi: 10.1158/1078-0432.CCR-22-3145.

Adjuvant Nivolumab versus Ipilimumab in Resected Stage III/IV Melanoma: 5-Year Efficacy and Biomarker Results from CheckMate 238

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Adjuvant Nivolumab versus Ipilimumab in Resected Stage III/IV Melanoma: 5-Year Efficacy and Biomarker Results from CheckMate 238

James Larkin et al. Clin Cancer Res. .

Abstract

Purpose: In the phase III CheckMate 238 study, adjuvant nivolumab significantly improved recurrence-free survival (RFS) and distant metastasis-free survival versus ipilimumab in patients with resected stage IIIB-C or stage IV melanoma, with benefit sustained at 4 years. We report updated 5-year efficacy and biomarker findings.

Patients and methods: Patients with resected stage IIIB-C/IV melanoma were stratified by stage and baseline programmed death cell ligand 1 (PD-L1) expression and received nivolumab 3 mg/kg every 2 weeks or ipilimumab 10 mg/kg every 3 weeks for four doses and then every 12 weeks, both intravenously for 1 year until disease recurrence, unacceptable toxicity, or withdrawal of consent. The primary endpoint was RFS.

Results: At a minimum follow-up of 62 months, RFS with nivolumab remained superior to ipilimumab (HR = 0.72; 95% confidence interval, 0.60-0.86; 5-year rates of 50% vs. 39%). Five-year distant metastasis-free survival (DMFS) rates were 58% with nivolumab versus 51% with ipilimumab. Five-year overall survival (OS) rates were 76% with nivolumab and 72% with ipilimumab (75% data maturity: 228 of 302 planned events). Higher levels of tumor mutational burden (TMB), tumor PD-L1, intratumoral CD8+ T cells and IFNγ-associated gene expression signature, and lower levels of peripheral serum C-reactive protein were associated with improved RFS and OS with both nivolumab and ipilimumab, albeit with limited clinically meaningful predictive value.

Conclusions: Nivolumab is a proven adjuvant treatment for resected melanoma at high risk of recurrence, with sustained, long-term improvement in RFS and DMFS compared with ipilimumab and high OS rates. Identification of additional biomarkers is needed to better predict treatment outcome. See related commentary by Augustin and Luke, p. 3253.

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Figures

Figure 1. CONSORT diagram.
Figure 1.
CONSORT diagram.
Figure 2. RFS (A), DMFS (B), and OS (C) in patients randomly assigned to nivolumab or ipilimumab. Patients were followed for a minimum of 60 months.
Figure 2.
RFS (A), DMFS (B), and OS (C) in patients randomly assigned to nivolumab or ipilimumab. Patients were followed for a minimum of 60 months.
Figure 3. RFS in patient subgroups. Results are expressed as unstratified HRs for the risk of recurrence or death in the nivolumab group compared with the ipilimumab group with 95% CIs. aStratified HR = 0.72 (95% CI, 0.60–0.86). bPD–L1 IHC 28–8 pharmDx assay; status determined as percentage of tumor cells. cV600E/K.
Figure 3.
RFS in patient subgroups. Results are expressed as unstratified HRs for the risk of recurrence or death in the nivolumab group compared with the ipilimumab group with 95% CIs. aStratified HR = 0.72 (95% CI, 0.60–0.86). bPD–L1 IHC 28–8 pharmDx assay; status determined as percentage of tumor cells. cV600E/K.
Figure 4. RFS in patients with AJCC-7 stage IIIB disease (A), AJCC-8 stage IIIB disease (B), AJCC-7 stage IIIC disease (C), AJCC-8 stage IIIC disease (D), and AJCC-8 stage IIID disease (E). aUnstratified.
Figure 4.
RFS in patients with AJCC-7 stage IIIB disease (A), AJCC-8 stage IIIB disease (B), AJCC-7 stage IIIC disease (C), AJCC-8 stage IIIC disease (D), and AJCC-8 stage IIID disease (E). aUnstratified.
Figure 5. Univariate biomarker analyses for RFS and OS. aThe evaluated population cohort size for each biomarker is different on the basis of availability of data for the markers. bHR measures the RFS or death (OS) between ≥ median versus < median, except for tumor. PD-L1 between ≥ 5% versus <5%. Supplementary Table S6 shows median values used for each biomarker.
Figure 5.
Univariate biomarker analyses for RFS and OS. aThe evaluated population cohort size for each biomarker is different on the basis of availability of data for the markers. bHR measures the RFS or death (OS) between ≥ median versus < median, except for tumor. PD-L1 between ≥ 5% versus <5%. Supplementary Table S6 shows median values used for each biomarker.
Figure 6. Multiparameter composite analysis. An RFS prediction model was based on clinical factors and tumor/peripheral biomarkers in a common 415-patient subset with multiple imputations for missing data. The model included targeted biomarkers and potential prognostic clinical factors, which were selected on the basis of univariate analysis in an independent cohort of 490 patients from CheckMate 238.
Figure 6.
Multiparameter composite analysis. An RFS prediction model was based on clinical factors and tumor/peripheral biomarkers in a common 415-patient subset with multiple imputations for missing data. The model included targeted biomarkers and potential prognostic clinical factors, which were selected on the basis of univariate analysis in an independent cohort of 490 patients from CheckMate 238.

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References

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