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Status | 已發表Published |
Longitudinal high-dimensional analysis identifies immune features associating with response to anti-PD-1 immunotherapy. | |
Leung Elaine Lai Han1; Li RunZe2,3; Fan XingXing4; Wang LilyYan5; Wang Yan6; Jiang ZeBo4; Huang Jumin4; Pan HuDan2,3; Fan Yue5; Xu HongMei5; Wang Feng5; Rui HaoPeng5; Wong Piu7; Sumatoh Hermi8; Michael Fehlings8; Nardin Alessandra8; Gavine Paul5; Zhou LongEn5; Cao Yabing9; Liu Liang2,3 | |
2023-08 | |
Source Publication | Nature Communication |
ISSN | 2041-1723 |
Volume | 14Issue:1 |
Abstract | Response to immunotherapy widely varies among cancer patients and identification of parameters associating with favourable outcome is of great interest. Here we show longitudinal monitoring of peripheral blood samples of non-small cell lung cancer (NSCLC) patients undergoing anti-PD1 therapy by high-dimensional cytometry by time of flight (CyTOF) and Meso Scale Discovery (MSD) multi-cytokines measurements. We find that higher proportions of circulating CD8 and of CD8CD101TIM3 (CCT T) subsets significantly correlate with poor clinical response to immune therapy. Consistently, CD8 T cells and CCT T cell frequencies remain low in most responders during the entire multi-cycle treatment regimen; and higher killer cell lectin-like receptor subfamily G, member 1 (KLRG1) expression in CCT T cells at baseline associates with prolonged progression free survival. Upon in vitro stimulation, CCT T cells of responders produce significantly higher levels of cytokines, including IL-1β, IL-2, IL-8, IL-22 and MCP-1, than of non-responders. Overall, our results provide insights into the longitudinal immunological landscape underpinning favourable response to immune checkpoint blockade therapy in lung cancer patients. |
DOI | 10.1038/s41467-023-40631-0 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Science & Technology - Other Topics |
WOS Subject | Multidisciplinary Sciences |
WOS ID | WOS:001053269200026 |
Scopus ID | 2-s2.0-85168701051 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | DEPARTMENT OF BIOMEDICAL SCIENCES INSTITUTE OF COLLABORATIVE INNOVATION |
Corresponding Author | Leung Elaine Lai Han; Cao Yabing; Liu Liang |
Affiliation | 1.Cancer Center, Faculty of Health Sciences; MOE Frontiers Science Center for Precision Oncology, University of Macau, Macau (SAR), China 2.State Key Laboratory of Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Chinese Medicine), Guangzhou, Guangdong, China 3.Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangdong, China 4.Dr. Neher’s Biophysics Laboratory for Innovative Drug Discovery/State Key Laboratory of Quality Research in Chinese Medicine/Macau Institute of Applied Research in Medicine and Health, Macau University of Science and Technology, Avenida Wai Long, Macao, Taipa Macau (SAR), China 5.Janssen Research & Development, Shanghai, China 6.Merck Sharp & Dohme, Shanghai, China 7.HiFiBio Therapeutics, Hongkong, China 8.ImmunoScape, Singapore, Singapore 9.Kiang Wu Hospital, Macau (SAR), China |
First Author Affilication | Cancer Centre |
Corresponding Author Affilication | Cancer Centre |
Recommended Citation GB/T 7714 | Leung Elaine Lai Han,Li RunZe,Fan XingXing,et al. Longitudinal high-dimensional analysis identifies immune features associating with response to anti-PD-1 immunotherapy.[J]. Nature Communication, 2023, 14(1). |
APA | Leung Elaine Lai Han., Li RunZe., Fan XingXing., Wang LilyYan., Wang Yan., Jiang ZeBo., Huang Jumin., Pan HuDan., Fan Yue., Xu HongMei., Wang Feng., Rui HaoPeng., Wong Piu., Sumatoh Hermi., Michael Fehlings., Nardin Alessandra., Gavine Paul., Zhou LongEn., Cao Yabing., & Liu Liang (2023). Longitudinal high-dimensional analysis identifies immune features associating with response to anti-PD-1 immunotherapy.. Nature Communication, 14(1). |
MLA | Leung Elaine Lai Han,et al."Longitudinal high-dimensional analysis identifies immune features associating with response to anti-PD-1 immunotherapy.".Nature Communication 14.1(2023). |
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