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Using 22C3 Anti-PD-L1 Antibody Concentrate on Biopsy and Cytology Samples from Non-small Cell Lung Cancer Patients
Published on: September 25, 2018
Hyperprogressive disease during PD-1/PD-L1 blockade in patients with non-small-cell lung cancer
1Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon; Division of Medical Oncology, Department of Internal Medicine.
Background:
Immune checkpoint blockade with Programmed cell death 1 (PD-1)/PD-L1 inhibitors has been effective in various malignancies and is considered as a standard treatment modality for patients with non-small-cell lung cancer (NSCLC). However, emerging evidence show that PD-1/PD-L1 blockade can lead to hyperprogressive disease (HPD), a flair-up of tumor growth linked to dismal prognosis. This study aimed to evaluate the incidence of HPD and identify the determinants associated with HPD in patients with NSCLC treated with PD-1/PD-L1 blockade.
Patients And Methods:
We enrolled patients with recurrent and/or metastatic NSCLC treated with PD-1/PD-L1 inhibitors between April 2014 and November 2018. Clinicopathologic variables, dynamics of tumor growth, and treatment outcomes were analyzed in patients with NSCLC who received PD-1/PD-L1 blockade. HPD was defined according to tumor growth kinetics (TGK), tumor growth rate (TGR), and time to treatment failure (TTF). Immunophenotyping of peripheral blood CD8+ T lymphocytes was conducted to explore the potential predictive biomarkers of HPD.
Results:
A total of 263 patients were analyzed. HPD was observed in 55 (20.9%), 54 (20.5%), and 98 (37.3%) patients according to the TGK, TGR, and TTF. HPD meeting both TGK and TGR criteria was associated with worse progression-free survival [hazard ratio (HR) 4.619; 95% confidence interval (CI) 2.868-7.440] and overall survival (HR, 5.079; 95% CI, 3.136-8.226) than progressive disease without HPD. There were no clinicopathologic variables specific for HPD. In the exploratory biomarker analysis with peripheral blood CD8+ T lymphocytes, a lower frequency of effector/memory subsets (CCR7-CD45RA- T cells among the total CD8+ T cells) and a higher frequency of severely exhausted populations (TIGIT+ T cells among PD-1+CD8+ T cells) were associated with HPD and inferior survival rate.
Conclusion:
HPD is common in NSCLC patients treated with PD-1/PD-L1 inhibitors. Biomarkers derived from rationally designed analysis may successfully predict HPD and worse outcomes, meriting further investigation of HPD.
Insights
Hyperprogressive disease (HPD) affects nearly 21% of non-small-cell lung cancer (NSCLC) patients treated with Programmed cell death 1 (PD-1)/PD-L1 inhibitors. Lower effector/memory CD8+ T cells and higher exhausted TIGIT+ T cells predict HPD and poorer survival.
Area of Science:
- Oncology
- Immunotherapy
- Cancer Research
Background:
- Programmed cell death 1 (PD-1)/PD-L1 inhibitors are standard for non-small-cell lung cancer (NSCLC).
- Hyperprogressive disease (HPD), an accelerated tumor growth, is an emerging adverse effect of PD-1/PD-L1 blockade.
- HPD is associated with poor prognosis in NSCLC patients.
Purpose of the Study:
- To determine the incidence of HPD in NSCLC patients receiving PD-1/PD-L1 inhibitors.
- To identify clinical or immunologic factors associated with HPD.
- To explore the prognostic significance of HPD.
Main Methods:
- Retrospective analysis of 263 NSCLC patients treated with PD-1/PD-L1 inhibitors.
- HPD definition based on tumor growth kinetics (TGK), tumor growth rate (TGR), and time to treatment failure (TTF).
- Immunophenotyping of peripheral blood CD8+ T lymphocytes for potential biomarkers.
Main Results:
- HPD incidence ranged from 20.5% to 37.3% based on different criteria.
- HPD was significantly associated with worse progression-free survival and overall survival.
- No specific clinicopathologic variables predicted HPD; however, immune biomarkers (CD8+ T cell subsets) showed association.
Conclusions:
- HPD is a frequent complication of PD-1/PD-L1 blockade in NSCLC.
- Immune cell profiling may help predict HPD and patient outcomes.
- Further research into HPD mechanisms and predictive biomarkers is warranted.
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