Dynamic changes in circulating PD-1+CD8+ T lymphocytes for predicting treatment response to PD-1 blockade in patients with non-small-cell lung cancer

2021 ◽  
Vol 143 ◽  
pp. 113-126
Author(s):  
Chang Gon Kim ◽  
Min Hee Hong ◽  
Kyung Hwan Kim ◽  
In-Ho Seo ◽  
Beung-Chul Ahn ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Lymphocytes ◽  
Small Cell Lung Cancer ◽  
Treatment Response ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Dynamic Changes ◽  
Cd8 T Lymphocytes

Dynamic changes in circulating PD-1+CD8+ T lymphocytes for predicting treatment response to PD-1 blockade in patients with non-small cell lung cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21690-e21690
Author(s):  
Chang Gon Kim ◽  
Min Hee Hong ◽  
Kyung Hwan Kim ◽  
Kyoung-Ho Pyo ◽  
Chun-Feng Xin ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Lymphocytes ◽  
Small Cell Lung Cancer ◽  
Treatment Response ◽  
Predictive Value ◽  
Validation Cohort ◽  
Small Cell ◽  
Small Cell Lung ◽  
Discovery Cohort ◽  
Dynamic Changes

e21690 Background: The predictive value of dynamic changes in the expression of programmed cell death-1 (PD-1) among circulating CD8+ T lymphocytes for treatment response to PD-1 inhibitors has not been explored in non-small-cell lung cancer (NSCLC). This study aimed to investigate whether dynamic changes in PD-1+CD8+ T lymphocytes have predictive value with respect to durable clinical benefit (DCB) and survival after PD-1 blockade. Methods: Patients with recurrent and/or metastatic NSCLC treated with PD-1 inhibitors were enrolled between March 2016 and August 2018 (discovery cohort; n = 94). Peripheral blood was obtained immediately before and after one cycle of treatment with PD-1 blockade. Phenotyping of circulating CD8+ T lymphocytes was conducted using multi-color flow cytometry. Predictive values of dynamic changes in circulating PD-1+CD8+ T lymphocytes during the first cycle were validated in an independent cohort (validation cohort; n = 54) of a prospective trial with PD-1 inhibitor (NCT03486119). Results: Circulating PD-1+CD8+ T lymphocytes were enriched with effector/memory populations with elevated expression of activation- and exhaustion-related markers. Reduction in the frequency of PD-1+ cells among CD8+ T lymphocytes after one cycle of treatment was associated with a higher probability of DCB and superior survival outcomes in the discovery cohort. Similar results were obtained in analysis of tumor antigen NY-ESO-1-specific CD8+ T lymphocytes and in the validation cohort. Conclusions: Dynamic changes in circulating PD-1+CD8+ T lymphocytes predict clinical and survival benefit from PD-1 blockade treatment in NSCLC. Thus, tracking these changes may be useful for identifying NSCLC patients who will optimally benefit from the treatment.

CD103 + CD8 + T lymphocytes in non-small cell lung cancer are phenotypically and functionally primed to respond to PD-1 blockade

2018 ◽  
Vol 325 ◽  
pp. 48-55 ◽  
Author(s):  
Peiliang Wang ◽  
Bing Huang ◽  
Yi Gao ◽  
Jianjian Yang ◽  
Zhihui Liang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Lymphocytes ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Cd8 T Lymphocytes

scholarly journals 155P Predictors of treatment response in ALK-positive metastatic non-small cell lung cancer

2021 ◽  
Vol 16 (4) ◽  
pp. S782
Author(s):  
I. Dogan ◽  
M. Gürbüz ◽  
N. Paksoy ◽  
F. Ferhatoğlu ◽  
S. Vatansever ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Treatment Response ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Alk Positive

scholarly journals Changes of Tumor Size and Tumor Contrast Enhancement during Radiotherapy for Non-small-cell Lung Cancer May Be Suggestive of Treatment Response

2012 ◽  
Vol 53 (2) ◽  
pp. 326-332 ◽  
Author(s):  
Hiroshi OKADA ◽  
Shigeto HONTSU ◽  
Sachiko MIURA ◽  
Isao ASAKAWA ◽  
Tetsuro TAMAMOTO ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Treatment Response ◽  
Contrast Enhancement ◽  
Cell Lung Cancer ◽  
Tumor Size ◽  
Small Cell ◽  
Small Cell Lung
Sign in / Sign up

Export Citation Format

Share Document