Objective Response Rate (ORR) as assessed by the investigator through Response Evaluation Criteria in Solid Tumors Version 1.1 (RECIST 1.1). This will be considered as the percentage/proportion of patients with confirmed complete response (CR) or partial response (PR) as their overall best response throughout the study. Estimates of the ORR along with the associated 95% exact binomial confidence intervals will be provided. The binomial probability that the observed melanoma ORR is > 0.15 will be calculated. Best confirmed response will be summarized. Response of melanoma will be measured by CT or MRI and assessed according to RECIST 1.1 by the investigator. If there are no assessments, the response will be taken to be unconfirmed and a non-response. Changes in tumor size from baseline will be calculated and displayed graphically, where appropriate.
Overall survival (OS): defined as the time elapsed from the first dose of study treatment until death from any cause. Patients alive and free of events at the date of the analysis will be censored at their last known contact. OS will be summarized using the Kaplan-Meier method and displayed graphically where appropriate. Confidence intervals (CIs) for the 25th, 50th and 75th percentiles will be reported. The Cox proportional hazards model will be fitted to compute the hazard ratios on potential stratified groups if applicable. OS will be calculated as median / mean (95% CI) and OS rate for different timepoints deemed appropriate at the time of the analysis (i.e.1-year OS rate) will also be calculated.
Overall survival (OS): defined as the time elapsed from the first dose of study treatment until death from any cause. Patients alive and free of events at the date of the analysis will be censored at their last known contact. OS will be summarized using the Kaplan-Meier method and displayed graphically where appropriate. Confidence intervals (CIs) for the 25th, 50th and 75th percentiles will be reported. The Cox proportional hazards model will be fitted to compute the hazard ratios on potential stratified groups if applicable. OS will be calculated as median / mean (95% CI) and OS rate for different timepoints deemed appropriate at the time of the analysis (i.e.1-year OS rate) will also be calculated.
Clinical Benefit Rate (CBR): Assessed locally by the investigator through imaging follow-up (CT scan/MRI) using RECIST 1.1. CBR will include the percentage/proportion of patients with CR, PR, or SD (maintained > 4 months) as their overall best response throughout the study period. The CBR will be estimated by binomial proportion, dividing the number of patients with CR, PR or SD for at least 4 months for CBR by the total number of patients studied in the population. The corresponding exact 2-sided 95% CIs will be provided. Changes in tumor size from baseline will be calculated and displayed graphically, where appropriate.
Duration of Response (DoR): The DoR will be calculated for patients who achieve a CR or PR. Dates of progression and censoring for DoR will be determined as described for PFS. Kaplan-Meier methods will be used to estimate the distribution of DoR. Quartiles including the median will be estimated by KM method along with their 95% confidence intervals.
Treatment-free Survival (TFS): defined as the time from the end of study treatment until the start of subsequent treatment, progression or death, whichever occurs first, will be determined as described for PFS. Kaplan-Meier methods will be used to estimate TFS.
Treatment-free Interval (TFI): defined as the time from the end of study treatment until the start of subsequent treatment; will be determined as described for PFS. Kaplan-Meier methods will be used to estimate TFI.
Number of Participants with Adverse Events (AEs)
Incidence and severity of adverse events, with severity determined according to National Cancer Institute Common Terminology Criteria for Adverse Events, Version 5.0 (NCI CTCAE v5.0)
Number of Participants Who Discontinue Study Treatment Due to Adverse Events (AEs)
Progression-free Survival (PFS) defined as the time from the start of treatment to disease progression or death from any cause, whichever occurs first. The PFS will be estimated by the Kaplan-Meier method. Patients alive and free of events at the date of the analysis will be censored at their last known tumor assessment. Patients who start a new treatment line without event will be censored on the date of first dose of the subsequent anticancer treatment. PFS will be displayed graphically where appropriate. PFS will be assessed by the median / mean (95% CI) and for different timepoints: Proportion of patients without progression at the end of follow-up. Proportion of patients at 6-months, 12-months and as deemed opportune by the time of the analysis. Confidence intervals (CIs) for the 25th, 50th and 75th percentiles will be reported. The Cox proportional hazards model will be fitted to compute the hazard ratios on potential stratified groups if applicable.
Progression-free Survival (PFS) defined as the time from the start of treatment to disease progression or death from any cause, whichever occurs first. The PFS will be estimated by the Kaplan-Meier method. Patients alive and free of events at the date of the analysis will be censored at their last known tumor assessment. Patients who start a new treatment line without event will be censored on the date of first dose of the subsequent anticancer treatment. PFS will be displayed graphically where appropriate. PFS will be assessed by the median / mean (95% CI) and for different timepoints: Proportion of patients without progression at the end of follow-up. Proportion of patients at 6-months, 12-months and as deemed opportune by the time of the analysis. Confidence intervals (CIs) for the 25th, 50th and 75th percentiles will be reported. The Cox proportional hazards model will be fitted to compute the hazard ratios on potential stratified groups if applicable.