Peripheral natural killer cells and myeloid-derived suppressor cells correlate with anti-PD-1 responses in non-small cell lung cancer

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作者
Je-In Youn
Su-Myeong Park
Seyeon Park
Gamin Kim
Hee-Jae Lee
Jimin Son
Min Hee Hong
Aziz Ghaderpour
Bumseo Baik
Jahirul Islam
Ji-Woong Choi
Eun-Young Lee
Hang-Rae Kim
Sang-Uk Seo
Soonmyung Paik
Hong In Yoon
Inkyung Jung
Chun-Feng Xin
Hyun-Tak Jin
Byoung Chul Cho
Seung-Yong Seong
Sang-Jun Ha
Hye Ryun Kim
机构
[1] Department of Biomedical Sciences,
[2] Seoul National University College of Medicine,undefined
[3] Department of Biochemistry,undefined
[4] College of Life Science & Biotechnology,undefined
[5] Yonsei University,undefined
[6] Wide River Institute of Immunology,undefined
[7] Seoul National University College of Medicine,undefined
[8] Research Institute,undefined
[9] ProGen,undefined
[10] Inc.,undefined
[11] Yonsei Cancer Center,undefined
[12] Division of Medical Oncology,undefined
[13] Yonsei University College of Medicine,undefined
[14] Department of Anatomy and Cell Biology,undefined
[15] Seoul National University College of Medicine,undefined
[16] Severance Biomedical Science Institute,undefined
[17] Yonsei University College of Medicine,undefined
[18] Yonsei Cancer Center,undefined
[19] Department of Radiation Oncology,undefined
[20] Yonsei University College of Medicine,undefined
[21] Department of Biostatistics and Medical Informatics,undefined
[22] Yonsei University College of Medicine,undefined
[23] JE-UK Institute for Cancer Research,undefined
[24] JEUK Co.,undefined
[25] Ltd.,undefined
[26] Department of Microbiology and Immunology,undefined
[27] Seoul National University College of Medicine,undefined
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Inhibition of immune checkpoint proteins like programmed death 1 (PD-1) is a promising therapeutic approach for several cancers, including non-small cell lung cancer (NSCLC). Although PD-1 ligand (PD-L1) expression is used to predict anti-PD-1 therapy responses in NSCLC, its accuracy is relatively less. Therefore, we sought to identify a more accurate predictive blood biomarker for evaluating anti-PD-1 response. We evaluated the frequencies of T cells, B cells, natural killer (NK) cells, polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs), mononuclear myeloid-derived suppressor cells (M-MDSCs), and Lox-1+ PMN-MDSCs in peripheral blood samples of 62 NSCLC patients before and after nivolumab treatment. Correlation of immune-cell population frequencies with treatment response, progression-free survival, and overall survival was also determined. After the first treatment, the median NK cell percentage was significantly higher in responders than in non-responders, while the median Lox-1+ PMN-MDSC percentage showed the opposite trend. NK cell frequencies significantly increased in responders but not in non-responders. NK cell frequency inversely correlated with that of Lox-1+ PMN-MDSCs after the first treatment cycle. The NK cell-to-Lox-1+ PMN-MDSC ratio (NMR) was significantly higher in responders than in non-responders. Patients with NMRs ≥ 5.75 after the first cycle had significantly higher objective response rates and longer progression-free and overall survival than those with NMRs <5.75. NMR shows promise as an early predictor of response to further anti-PD-1 therapy.
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