TY - JOUR
T1 - Extracellular vesicle PD-L1 dynamics predict durable response to immune-checkpoint inhibitors and survival in patients with non-small cell lung cancer
AU - de Miguel-Perez, Diego
AU - Russo, Alessandro
AU - Arrieta, Oscar
AU - Ak, Murat
AU - Barron, Feliciano
AU - Gunasekaran, Muthukumar
AU - Mamindla, Priyadarshini
AU - Lara-Mejia, Luis
AU - Peterson, Christine B.
AU - Er, Mehmet E.
AU - Peddagangireddy, Vishal
AU - Buemi, Francesco
AU - Cooper, Brandon
AU - Manca, Paolo
AU - Lapidus, Rena G.
AU - Hsia, Ru Ching
AU - Cardona, Andres F.
AU - Naing, Aung
AU - Kaushal, Sunjay
AU - Hirsch, Fred R.
AU - Mack, Philip C.
AU - Serrano, Maria Jose
AU - Adamo, Vincenzo
AU - Colen, Rivka R.
AU - Rolfo, Christian
N1 - Publisher Copyright:
© 2022, The Author(s).
PY - 2022/12
Y1 - 2022/12
N2 - Background: Immune-checkpoint inhibitors (ICIs) changed the therapeutic landscape of patients with lung cancer. However, only a subset of them derived clinical benefit and evidenced the need to identify reliable predictive biomarkers. Liquid biopsy is the non-invasive and repeatable analysis of biological material in body fluids and a promising tool for cancer biomarkers discovery. In particular, there is growing evidence that extracellular vesicles (EVs) play an important role in tumor progression and in tumor-immune interactions. Thus, we evaluated whether extracellular vesicle PD-L1 expression could be used as a biomarker for prediction of durable treatment response and survival in patients with non-small cell lung cancer (NSCLC) undergoing treatment with ICIs. Methods: Dynamic changes in EV PD-L1 were analyzed in plasma samples collected before and at 9 ± 1 weeks during treatment in a retrospective and a prospective independent cohorts of 33 and 39 patients, respectively. Results: As a result, an increase in EV PD-L1 was observed in non-responders in comparison to responders and was an independent biomarker for shorter progression-free survival and overall survival. To the contrary, tissue PD-L1 expression, the commonly used biomarker, was not predictive neither for durable response nor survival. Conclusion: These findings indicate that EV PD-L1 dynamics could be used to stratify patients with advanced NSCLC who would experience durable benefit from ICIs.
AB - Background: Immune-checkpoint inhibitors (ICIs) changed the therapeutic landscape of patients with lung cancer. However, only a subset of them derived clinical benefit and evidenced the need to identify reliable predictive biomarkers. Liquid biopsy is the non-invasive and repeatable analysis of biological material in body fluids and a promising tool for cancer biomarkers discovery. In particular, there is growing evidence that extracellular vesicles (EVs) play an important role in tumor progression and in tumor-immune interactions. Thus, we evaluated whether extracellular vesicle PD-L1 expression could be used as a biomarker for prediction of durable treatment response and survival in patients with non-small cell lung cancer (NSCLC) undergoing treatment with ICIs. Methods: Dynamic changes in EV PD-L1 were analyzed in plasma samples collected before and at 9 ± 1 weeks during treatment in a retrospective and a prospective independent cohorts of 33 and 39 patients, respectively. Results: As a result, an increase in EV PD-L1 was observed in non-responders in comparison to responders and was an independent biomarker for shorter progression-free survival and overall survival. To the contrary, tissue PD-L1 expression, the commonly used biomarker, was not predictive neither for durable response nor survival. Conclusion: These findings indicate that EV PD-L1 dynamics could be used to stratify patients with advanced NSCLC who would experience durable benefit from ICIs.
KW - Biomarkers
KW - Extracellular vesicles
KW - Immunotherapy
KW - NSCLC
KW - PD-L1
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U2 - 10.1186/s13046-022-02379-1
DO - 10.1186/s13046-022-02379-1
M3 - Article
C2 - 35650597
AN - SCOPUS:85131131028
SN - 0392-9078
VL - 41
JO - Journal of Experimental and Clinical Cancer Research
JF - Journal of Experimental and Clinical Cancer Research
IS - 1
M1 - 186
ER -