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Han AX, Long BY, Li CY, Huang DD, Xiong EQ, Li FJ, Wu GL, Liu Q, Yang GB, Hu HY. Machine learning framework develops neutrophil extracellular traps model for clinical outcome and immunotherapy response in lung adenocarcinoma. Apoptosis 2024:10.1007/s10495-024-01947-4. [PMID: 38519636 DOI: 10.1007/s10495-024-01947-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2024] [Indexed: 03/25/2024]
Abstract
Neutrophil extracellular traps (NETs) are novel inflammatory cell death in neutrophils. Emerging studies demonstrated NETs contributed to cancer progression and metastases in multiple ways. This study intends to provide a prognostic NETs signature and therapeutic target for lung adenocarcinoma (LUAD) patients. Consensus cluster analysis performed by 38 reported NET-related genes in TCGA-LUAD cohorts. Then, WGCNA network was conducted to investigate characteristics genes in clusters. Seven machine learning algorithms were assessed for training of the model, the optimal model was picked by C-index and 1-, 3-, 5-year ROC value. Then, we constructed a NETs signature to predict the overall survival of LUAD patients. Moreover, multi-omics validation was performed based on NETs signature. Finally, we constructed stable knockdown critical gene LUAD cell lines to verify biological functions of Phospholipid Scramblase 1 (PLSCR1) in vitro and in vivo. Two NETs-related clusters were identified in LUAD patients. Among them, C2 cluster was provided as "hot" tumor phenotype and exhibited a better prognosis. Then, WGCNA network identified 643 characteristic genes in C2 cluster. Then, Coxboost algorithm proved its optimal performance and provided a prognostic NETs signature. Multi-omics revealed that NETs signature was involved in an immunosuppressive microenvironment and predicted immunotherapy efficacy. In vitro and in vivo experiments demonstrated that knockdown of PLSCR1 inhibited tumor growth and EMT ability. Besides, cocultural assay indicated that the knockdown of PLSCR1 impaired the ability of neutrophils to generate NETs. Finally, tissue microarray (TMA) for LUAD patients verified the prognostic value of PLSCR1 expression. In this study, we focus on emerging hot topic NETs in LUAD. We provide a prognostic NETs signature and identify PLSCR1 with multiple roles in LUAD. This work can contribute to risk stratification and screen novel therapeutic targets for LUAD patients.
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Affiliation(s)
- A Xuan Han
- Department of General Surgery, Aerospace Central Hospital, 15 Yuquan Road, Haidian District, Beijing, China
| | - B Yaping Long
- Department of Medical Oncology, Senior Department of Oncology, Fengtai District, The Fifth Medical Center of PLA General Hospital, No. 100, West Fourth Ring Middle Road, Beijing, 100039, China
- School of Medicine, Nankai University, Nankai District, 94 Weijin Road, Tianjin, 300071, China
| | - C Yao Li
- Department of Medical Oncology, Senior Department of Oncology, Fengtai District, The Fifth Medical Center of PLA General Hospital, No. 100, West Fourth Ring Middle Road, Beijing, 100039, China
- Medical School of Chinese People's Liberation Army (PLA), Haidian District, 28 Fuxing Road, Beijing, 100853, People's Republic of China
| | - D Di Huang
- Department of Medical Oncology, Senior Department of Oncology, Fengtai District, The Fifth Medical Center of PLA General Hospital, No. 100, West Fourth Ring Middle Road, Beijing, 100039, China
| | - E Qi Xiong
- Department of Medical Oncology, Senior Department of Oncology, Fengtai District, The Fifth Medical Center of PLA General Hospital, No. 100, West Fourth Ring Middle Road, Beijing, 100039, China
| | - F Jinfeng Li
- Institute of Oncology, The First Medical Center of Chinese, PLA General Hospital, Beijing, 100853, China
| | - G Liangliang Wu
- Institute of Oncology, The First Medical Center of Chinese, PLA General Hospital, Beijing, 100853, China
| | - Qiaowei Liu
- Department of Medical Oncology, Senior Department of Oncology, Fengtai District, The Fifth Medical Center of PLA General Hospital, No. 100, West Fourth Ring Middle Road, Beijing, 100039, China.
- Department of Emergency, Senior Department of Oncology, The Fifth Medical Center of PLA General Hospital, 8 Dongdajie Road, Fengtai District, Beijing, 100071, China.
| | - G Bo Yang
- Department of Medical Oncology, Senior Department of Oncology, Fengtai District, The Fifth Medical Center of PLA General Hospital, No. 100, West Fourth Ring Middle Road, Beijing, 100039, China.
| | - H Yi Hu
- Department of Medical Oncology, Senior Department of Oncology, Fengtai District, The Fifth Medical Center of PLA General Hospital, No. 100, West Fourth Ring Middle Road, Beijing, 100039, China.
- School of Medicine, Nankai University, Nankai District, 94 Weijin Road, Tianjin, 300071, China.
- Medical School of Chinese People's Liberation Army (PLA), Haidian District, 28 Fuxing Road, Beijing, 100853, People's Republic of China.
- Institute of Oncology, The First Medical Center of Chinese, PLA General Hospital, Beijing, 100853, China.
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Koel BF, Vigeveno RM, Pater M, Koekkoek SM, Han AX, Tuan HM, Anh TTN, Hung NT, Thinh LQ, Hai LT, Ngoc HTB, Chau NVV, Ngoc NM, Chokephaibulkit K, Puthavathana P, Kinh NV, Trinh T, Lee RTC, Maurer-Stroh S, Eggink D, Thanh TT, Tan LV, van Doorn HR, de Jong MD. Longitudinal sampling is required to maximize detection of intrahost A/H3N2 virus variants. Virus Evol 2020; 6:veaa088. [PMID: 33343927 PMCID: PMC7733607 DOI: 10.1093/ve/veaa088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Seasonal human influenza viruses continually change antigenically to escape from neutralizing antibodies. It remains unclear how genetic variation in the intrahost virus population and selection at the level of individual hosts translates to the fast-paced evolution observed at the global level because emerging intrahost antigenic variants are rarely detected. We tracked intrahost variants in the hemagglutinin and neuraminidase surface proteins using longitudinally collected samples from 52 patients infected by A/H3N2 influenza virus, mostly young children, who received oseltamivir treatment. We identified emerging putative antigenic variants and oseltamivir-resistant variants, most of which remained detectable in samples collected at subsequent days, and identified variants that emerged intrahost immediately prior to increases in global rates. In contrast to most putative antigenic variants, oseltamivir-resistant variants rapidly increased to high frequencies in the virus population. Importantly, the majority of putative antigenic variants and oseltamivir-resistant variants were first detectable four or more days after onset of symptoms or start of treatment, respectively. Our observations demonstrate that de novo variants emerge, and may be positively selected, during the course of infection. Additionally, based on the 4–7 days post-treatment delay in emergence of oseltamivir-resistant variants in six out of the eight individuals with such variants, we find that limiting sample collection for routine surveillance and diagnostic testing to early timepoints after onset of symptoms can potentially preclude detection of emerging, positively selected variants.
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Affiliation(s)
- B F Koel
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - R M Vigeveno
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - M Pater
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - S M Koekkoek
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - A X Han
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | | | | | - N T Hung
- Children's Hospital 1, Ho Chi Minh City, Vietnam
| | - L Q Thinh
- Children's Hospital 1, Ho Chi Minh City, Vietnam
| | - L T Hai
- Vietnam National Children's Hospital, Hanoi, Vietnam
| | - H T B Ngoc
- Vietnam National Children's Hospital, Hanoi, Vietnam
| | - N V V Chau
- Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
| | - N M Ngoc
- Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam
| | | | | | - N V Kinh
- National Hospital of Tropical Diseases, Hanoi, Vietnam
| | - T Trinh
- National Hospital of Tropical Diseases, Hanoi, Vietnam
| | - R T C Lee
- Bioinformatics Institute, Agency for Science Technology and Research, Singapore 138671 Singapore
| | - S Maurer-Stroh
- Bioinformatics Institute, Agency for Science Technology and Research, Singapore 138671 Singapore.,Department of Biological Sciences, National University of Singapore, Singapore 117558, Singapore.,National Public Health Laboratory, National Centre for Infectious Diseases, Ministry of Health, Singapore 308442, Singapore
| | - D Eggink
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - T T Thanh
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - L V Tan
- Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam
| | - H R van Doorn
- Oxford University Clinical Research Unit, Hanoi, Vietnam.,Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK
| | - M D de Jong
- Department of Medical Microbiology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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