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Updated: Jan 10, 2026

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Cross sectional analysis of long-term overall survival among patients taking immune checkpoint inhibitor drugs
Alyson Haslam1, Timothée Olivier2, Vinay Prasad1
1Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Background:
Immune checkpoint inhibitors (ICIs) have transformed the landscape of tumor therapy. Yet, little is known about the collective long-term survival from these therapies. We sought to characterize long-term survival.
Methods:
In a cross-sectional analysis of US FDA oncology ICI drug approvals (2011-2023), we retrieved data from supporting registration trials. We examined the percentage of study participants surviving at 12-, 24-, 36-, and 60-months follow-up; the American Society of Clinical Oncology (ASCO) Value Framework Tail of the Curve calculation; and the correlation between the longest time with 10 % of patients still at-risk and the difference in the percentage of patients in each treatment group alive.
Results:
Out of 88 included approvals, 20 (22.7 %) qualified for ASCO's tail of the curve bonus. Twenty-seven studies (30.7 %) did not report OS at 12 months; 44 (50.0 %) did not report OS at 24 months; 60 (68.2 %) did not report OS at 36 months; and 78 (88.6 %) did not report OS at 60 months. We found no correlation between the last time that at least 10 % of patients were still at-risk and the difference in the percentage of patients in each group still alive at that time-point (R2=0.1; p = 0.30). Among 81 studies that reported an OS curve, the longest time with at least 10 % of participants at-risk was a median of 30 months. The median difference in survival was 8 %.
Conclusions:
Few registration trials testing ICI oncology therapies report long-term overall survival data. The gathering and reporting of this information should be incentivized so that the value of these drugs for patients can be more readily assessed.
Insights
Few immune checkpoint inhibitor (ICI) oncology trials report long-term survival data. Incentivizing the collection and reporting of this data is crucial for assessing the true value of these transformative cancer therapies.
Area of Science:
- Oncology
- Immunotherapy
- Clinical Trial Analysis
Background:
- Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment.
- However, comprehensive data on long-term survival outcomes from ICI therapies remain limited.
- Understanding long-term survival is critical for evaluating the full impact of these treatments.
Purpose of the Study:
- To characterize the availability and patterns of long-term overall survival (OS) data in oncology clinical trials for immune checkpoint inhibitors.
- To assess the correlation between patient survival metrics and the duration of patient at-risk status in these trials.
Main Methods:
- A cross-sectional analysis was conducted on US FDA oncology ICI drug approvals from 2011 to 2023.
- Data from supporting registration trials were examined for participant survival percentages at 12, 24, 36, and 60 months.
- The American Society of Clinical Oncology (ASCO) Value Framework Tail of the Curve calculation was used, alongside correlation analysis.
Main Results:
- Out of 88 approvals, only 20 (22.7%) qualified for the ASCO tail of the curve bonus.
- A significant proportion of studies failed to report OS at key time points: 30.7% at 12 months, 50.0% at 24 months, 68.2% at 36 months, and 88.6% at 60 months.
- No significant correlation was found between the longest time with 10% of patients at-risk and the difference in survival percentages (R²=0.1, p=0.30). The median longest time with at least 10% of participants at-risk was 30 months.
Conclusions:
- The majority of registration trials for immune checkpoint inhibitor oncology therapies lack comprehensive long-term overall survival data.
- There is a need to incentivize the collection and reporting of long-term survival data to better assess the value of these drugs.
- Improved reporting standards are necessary for a complete understanding of ICI therapy efficacy in the long term.
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