BACKGROUND: Anti-PD-(L)1 blocking agents can induce immune-related adverse events (irAEs), which can compromise treatment continuation. Since circulating leukocyte-platelet (PLT) complexes contribute to inflammatory and autoimmune diseases, we aimed to analyze the role of these complexes as predictors of irAEs in non-small cell lung cancer (NSCLC) patients receiving anti-PD-(L)1. MATERIALS AND METHODS: Twenty-six healthy donors (HD) and 87 consecutive advanced NSCLC patients treated with anti-PD-(L)1 were prospectively included. Percentages of circulating leukocyte-PLT complexes were analyzed by flow cytometry and compared between HD and NSCLC patients. The association of leukocyte-PLT complexes with the presence and severity of irAEs was analyzed. RESULTS: NSCLC patients had higher percentages of circulating leukocyte-PLT complexes. Higher percentages of monocytes with bound PLT (CD14 + PLT +) were observed in patients who received prior therapies while CD4 + T lymphocytes with bound PLT (CD4 + PLT +) correlated with platelets counts. The CD4 + PLT + high percentage group presented a higher rate of dermatological irAEs while the CD4 + PLT + low percentage group showed a higher rate of non-dermatological irAEs (p < 0.001). A lower frequency of grade ≥ 2 irAEs was observed in the CD4 + PLT + high percentage group (p < 0.05). Patients with CD4 + PLT + low and CD14 + PLT + high percentages presented a higher rate of grade ≥ 3 irAEs and predominantly developed non-dermatological irAEs (p < 0.01). CONCLUSIONS: Our results suggest that circulating leukocyte-PLT complexes and the combination of CD4 + PLT + and CD14 + PLT + percentages can be used as a predictive biomarker of the development and severity of irAEs in advanced NSCLC patients receiving anti-PD-(L)1 agents.
BACKGROUND: Anti-PD-(L)1 blocking agents can induce immune-related adverse events (irAEs), which can compromise treatment continuation. Since circulating leukocyte-platelet (PLT) complexes contribute to inflammatory and autoimmune diseases, we aimed to analyze the role of these complexes as predictors of irAEs in non-small cell lung cancer (NSCLC) patients receiving anti-PD-(L)1. MATERIALS AND METHODS: Twenty-six healthy donors (HD) and 87 consecutive advanced NSCLCpatients treated with anti-PD-(L)1 were prospectively included. Percentages of circulating leukocyte-PLT complexes were analyzed by flow cytometry and compared between HD and NSCLCpatients. The association of leukocyte-PLT complexes with the presence and severity of irAEs was analyzed. RESULTS:NSCLCpatients had higher percentages of circulating leukocyte-PLT complexes. Higher percentages of monocytes with bound PLT (CD14 + PLT +) were observed in patients who received prior therapies while CD4 + T lymphocytes with bound PLT (CD4 + PLT +) correlated with platelets counts. The CD4 + PLT + high percentage group presented a higher rate of dermatological irAEs while the CD4 + PLT + low percentage group showed a higher rate of non-dermatological irAEs (p < 0.001). A lower frequency of grade ≥ 2 irAEs was observed in the CD4 + PLT + high percentage group (p < 0.05). Patients with CD4 + PLT + low and CD14 + PLT + high percentages presented a higher rate of grade ≥ 3 irAEs and predominantly developed non-dermatological irAEs (p < 0.01). CONCLUSIONS: Our results suggest that circulating leukocyte-PLT complexes and the combination of CD4 + PLT + and CD14 + PLT + percentages can be used as a predictive biomarker of the development and severity of irAEs in advanced NSCLCpatients receiving anti-PD-(L)1 agents.
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Authors: Matthew D Hellmann; Luis Paz-Ares; Reyes Bernabe Caro; Bogdan Zurawski; Sang-We Kim; Enric Carcereny Costa; Keunchil Park; Aurelia Alexandru; Lorena Lupinacci; Emmanuel de la Mora Jimenez; Hiroshi Sakai; Istvan Albert; Alain Vergnenegre; Solange Peters; Konstantinos Syrigos; Fabrice Barlesi; Martin Reck; Hossein Borghaei; Julie R Brahmer; Kenneth J O'Byrne; William J Geese; Prabhu Bhagavatheeswaran; Sridhar K Rabindran; Ravi S Kasinathan; Faith E Nathan; Suresh S Ramalingam Journal: N Engl J Med Date: 2019-09-28 Impact factor: 91.245