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Updated: Jun 20, 2025

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Dynamic toxicity landscape of immunotherapy for solid tumors across treatment lines
Lihui Liu1,2, Sini Li1,2, Guoqiang Wang3
1Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Objective:
Immune checkpoint inhibitors (ICIs) targeting programmed cell death-1/ligand-1 (PD-1/PD-L1), cytotoxic T lymphocyte antigen-4 (CTLA-4), and lymphocyte-activation gene-3 (LAG-3) have been widely studied and applied throughout the course of cancer treatment. This study aimed to provide a comprehensive profile of ICI-associated toxicity and elucidate the toxicity patterns of ICIs across different treatment lines.
Methods:
In total, 155 cohorts comprising 24 539 eligible patients were included in the safety analysis. Trial name, registration number, cancer type, trial phase, clinical setting, trial design, regimen, dosing schedule, age, sex and ethnicity distributions, number of patients, number of treatment-related adverse events (trAEs), and number of treatment-related death were extracted. We defined a timeline from the neoadjuvant setting to the third-line setting. We also introduced a synthesizing principle for adverse event rates (SPAER) of immunotherapy to ensure the comparability and reliability across different treatment lines. The study protocol was registered and approved by the PROSPERO protocol review committee (CRD42021242368).
Results:
After excluding the neoadjuvant setting group, we observed a distinct reduction in the incidence of treatment-related adverse events (trAEs) with an advancement of the line of ICI treatment. The incidence of trAEs was negatively correlated with the line of treatment, irrespective of whether monotherapy or dual-ICI combination therapy was administered. Sensitivity analyses also confirmed the coincident negative correlations.
Conclusion:
In summary, using a timeline-based concept centered around treatment lines, we revealed the dynamic landscape of ICI-associated toxicity and found that patients treated with ICIs during later lines of therapy may have a lower risk of trAEs.
Insights
Immune checkpoint inhibitors (ICIs) show reduced toxicity in later treatment lines. This study analyzed 155 cohorts, finding fewer adverse events as therapy progresses, regardless of ICI combination.
Area of Science:
- Oncology
- Immunology
- Clinical Pharmacology
Background:
- Immune checkpoint inhibitors (ICIs) targeting PD-1/PD-L1, CTLA-4, and LAG-3 are crucial in cancer therapy.
- Understanding ICI-associated toxicity across different treatment lines is essential for optimizing patient care.
Purpose of the Study:
- To comprehensively profile immune checkpoint inhibitor (ICI) toxicity.
- To elucidate ICI toxicity patterns across various lines of cancer treatment.
Main Methods:
- A meta-analysis of 155 cohorts (24,539 patients) examining ICI safety data.
- Data extraction included trial details, patient demographics, and treatment-related adverse events (trAEs).
- A timeline-based approach and a synthesizing principle for adverse event rates (SPAER) were used to compare toxicity across treatment lines.
Main Results:
- A significant reduction in treatment-related adverse events (trAEs) was observed with later lines of ICI therapy.
- The incidence of trAEs showed a negative correlation with the line of treatment, for both monotherapy and combination ICI regimens.
- Sensitivity analyses confirmed these findings, highlighting a decreasing toxicity trend over treatment progression.
Conclusions:
- Immune checkpoint inhibitor (ICI) toxicity exhibits a dynamic pattern across treatment lines.
- Patients receiving ICIs in later lines of therapy may experience a lower risk of treatment-related adverse events (trAEs).
- This suggests a potential for improved safety profiles with advanced-stage ICI treatment.
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