1
|
Lundblad K, Zjukovskaja C, Larsson A, Cherif H, Kultima K, Burman J. CSF Concentrations of CXCL13 and sCD27 Before and After Autologous Hematopoietic Stem Cell Transplantation for Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2023; 10:e200135. [PMID: 37311645 DOI: 10.1212/nxi.0000000000200135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 05/01/2023] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVES In the past decade, autologous hematopoietic stem cell transplantation (AHSCT) has emerged as a treatment for relapsing-remitting multiple sclerosis (RRMS). How this procedure affects biomarkers of B- and T-cell activation is currently unknown. The objective of this study was to investigate CXCL13 and sCD27 concentrations in CSF before and after AHSCT. METHODS This prospective cohort study was conducted at a specialized MS clinic in a university hospital. Patients with a diagnosis of RRMS, treated with AHSCT between January 1, 2011, and December 31, 2018, were evaluated for participation. Patients were included if CSF samples from baseline plus at least 1 follow-up were available on June 30, 2020. A control group of volunteers without neurologic disease was included as a reference. CSF concentrations of CXCL13 and sCD27 were measured with ELISA. RESULTS The study comprised 29 women and 16 men with RRMS, aged 19-46 years at baseline, and 15 women and 17 men, aged 18-48 years, in the control group. At baseline, patients had higher CXCL13 and sCD27 concentrations than controls, with a median (IQR) of 4 (4-19) vs 4 (4-4) pg/mL (p < 0.0001) for CXCL13 and 352 (118-530) vs 63 (63-63) pg/mL (p < 0.0001) for sCD27. After AHSCT, the CSF concentrations of CXCL13 were considerably lower at the first follow-up at 1 year than at baseline, with a median (IQR) of 4 (4-4) vs 4 (4-19) pg/mL (p < 0.0001), and then stable throughout follow-up. The CSF concentrations of sCD27 were also lower at 1 year than at baseline, with a median (IQR) of 143 (63-269) vs 354 (114-536) pg/mL (p < 0.0001). Thereafter, sCD27 concentrations continued to decrease and were lower at 2 years than at 1 year, with a median (IQR) of 120 (63-231) vs 183 (63-290) pg/mL (p = 0.017). DISCUSSION After AHSCT for RRMS, CSF concentrations of CXCL13 were rapidly normalized, whereas sCD27 decreased gradually over the course of 2 years. Thereafter, the concentrations remained stable throughout follow-up, indicating that AHSCT induced long-lasting biological changes.
Collapse
Affiliation(s)
- Katarina Lundblad
- From the Department of Medical Sciences, Neurology, Uppsala University, Sweden
| | | | - Anders Larsson
- From the Department of Medical Sciences, Neurology, Uppsala University, Sweden
| | - Honar Cherif
- From the Department of Medical Sciences, Neurology, Uppsala University, Sweden
| | - Kim Kultima
- From the Department of Medical Sciences, Neurology, Uppsala University, Sweden
| | - Joachim Burman
- From the Department of Medical Sciences, Neurology, Uppsala University, Sweden.
| |
Collapse
|
2
|
Nilsson MB, Yang Y, Heeke S, Patel SA, Poteete A, Udagawa H, Elamin YY, Moran CA, Kashima Y, Arumugam T, Yu X, Ren X, Diao L, Shen L, Wang Q, Zhang M, Robichaux JP, Shi C, Pfeil AN, Tran H, Gibbons DL, Bock J, Wang J, Minna JD, Kobayashi SS, Le X, Heymach JV. CD70 is a therapeutic target upregulated in EMT-associated EGFR tyrosine kinase inhibitor resistance. Cancer Cell 2023; 41:340-355.e6. [PMID: 36787696 PMCID: PMC10259078 DOI: 10.1016/j.ccell.2023.01.007] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 09/26/2022] [Accepted: 01/17/2023] [Indexed: 02/15/2023]
Abstract
Effective therapeutic strategies are needed for non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations that acquire resistance to EGFR tyrosine kinase inhibitors (TKIs) mediated by epithelial-to-mesenchymal transition (EMT). We investigate cell surface proteins that could be targeted by antibody-based or adoptive cell therapy approaches and identify CD70 as being highly upregulated in EMT-associated resistance. Moreover, CD70 upregulation is an early event in the evolution of resistance and occurs in drug-tolerant persister cells (DTPCs). CD70 promotes cell survival and invasiveness, and stimulation of CD70 triggers signal transduction pathways known to be re-activated with acquired TKI resistance. Anti-CD70 antibody drug conjugates (ADCs) and CD70-targeting chimeric antigen receptor (CAR) T cell and CAR NK cells show potent activity against EGFR TKI-resistant cells and DTPCs. These results identify CD70 as a therapeutic target for EGFR mutant tumors with acquired EGFR TKI resistance that merits clinical investigation.
Collapse
Affiliation(s)
- Monique B Nilsson
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yan Yang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Simon Heeke
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Sonia A Patel
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Alissa Poteete
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hibiki Udagawa
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan
| | - Yasir Y Elamin
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Cesar A Moran
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Yukie Kashima
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan
| | - Thiruvengadam Arumugam
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xiaoxing Yu
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Xiaoyang Ren
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Lixia Diao
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Li Shen
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Qi Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Minying Zhang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jacqulyne P Robichaux
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Chunhua Shi
- Department of Biologics Development, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Allyson N Pfeil
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Hai Tran
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Don L Gibbons
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jason Bock
- Department of Oncology Research BIT, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Jing Wang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - John D Minna
- Hamon Center for Therapeutic Oncology Research, Simmons Comprehensive Cancer Center, Department of Pharmacology, The University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Susumu S Kobayashi
- Division of Translational Genomics, Exploratory Oncology Research and Clinical Trial Center, National Cancer Center, Kashiwa, Japan; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Xiuning Le
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
| |
Collapse
|
3
|
Gamerith G, Mildner F, Merkel PA, Harris K, Cooney L, Lim N, Spiera R, Seo P, Langford CA, Hoffman GS, St Clair EW, Fervenza FC, Monach P, Ytterberg SR, Geetha D, Amann A, Wolf D, Specks U, Stone JH, Kronbichler A. Association of baseline soluble immune checkpoints with the risk of relapse in PR3-ANCA vasculitis following induction of remission. Ann Rheum Dis 2023; 82:253-261. [PMID: 35973802 DOI: 10.1136/ard-2022-222479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 08/02/2022] [Indexed: 01/26/2023]
Abstract
OBJECTIVES We investigated whether soluble immune checkpoints (sICPs) predict treatment resistance, relapse and infections in patients with antineutrophil cytoplasm antibody (ANCA)-associated vasculitis (AAV). METHODS Plasma sICP concentrations from available samples obtained during conduct of the RAVE trial were measured by immunoabsorbent assays from patients with either proteinase 3 (PR3) or myeloperoxidase (MPO)-ANCA vasculitis and were correlated with clinical outcomes, a set of biomarkers and available flow cytometry analyses focusing on T cell subsets. Log-rank test was used to evaluate survival benefits, and optimal cut-off values of the marker molecules were calculated using Yeldons J. RESULTS Analysis of 189 plasma samples at baseline revealed higher concentrations of sTim-3, sCD27, sLag-3, sPD-1 and sPD-L2 in patients with MPO-ANCA vasculitis (n=62) as compared with PR3-ANCA vasculitis (n=127). Among patients receiving rituximab induction therapy (n=95), the combination of lower soluble (s)Lag-3 (<90 pg/mL) and higher sCD27 (>3000 pg/mL) predicted therapy failure. Twenty-four out of 73 patients (32.9%) in the rituximab arm reaching remission at 6 months relapsed during follow-up. In this subgroup, high baseline values of sTim-3 (>1200 pg/mL), sCD27 (>1250 pg/mL) and sBTLA (>1000 pg/mL) were associated with both sustained remission and infectious complications. These findings could not be replicated in 94 patients randomised to receive cyclophosphamide/azathioprine. CONCLUSIONS Patients with AAV treated with rituximab achieved remission less frequently when concentrations of sLag-3 were low and concentrations of sCD27 were high. Higher concentrations of sTim-3, sCD27 and sBTLA at baseline predicted relapse in patients treated with rituximab. These results require confirmation but may contribute to a personalised treatment approach of AAV.
Collapse
Affiliation(s)
- Gabriele Gamerith
- Department of Internal Medicine V, Hematology and Oncology, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck, Innsbruck, Austria
| | - Finn Mildner
- Department of Internal Medicine V, Hematology and Oncology, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck, Innsbruck, Austria
| | - Peter A Merkel
- Division of Rheumatology and Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Laura Cooney
- Immune Tolerance Network (ITN), Bethesda, Maryland, USA
| | - Noha Lim
- Immune Tolerance Network (ITN), Bethesda, Maryland, USA
| | - Robert Spiera
- Hospital for Special Surgery, New York City, New York, USA
| | - Philip Seo
- Department of Internal Medicine, Division of Rheumatology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Carol A Langford
- Rheumatic and Immunologic Diseases, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - Gary S Hoffman
- Rheumatic and Immunologic Diseases, Cleveland Clinic Foundation, Cleveland, Ohio, USA
| | - E William St Clair
- Rheumatology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Fernando C Fervenza
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Paul Monach
- VA Boston Healthcare System, West Roxbury, Massachusetts, USA
| | | | - Duvuru Geetha
- Division of Nephrology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Arno Amann
- Department of Internal Medicine V, Hematology and Oncology, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck, Innsbruck, Austria
| | - Dominik Wolf
- Department of Internal Medicine V, Hematology and Oncology, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck, Innsbruck, Austria
| | - Ulrich Specks
- Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, New York, USA
| | - John H Stone
- Rheumatology Unit, Division of Rheumatology Allergy, and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | | |
Collapse
|
4
|
Xu M, Bai X, Ai B, Zhang G, Song C, Zhao J, Wang Y, Wei L, Qian F, Li Y, Zhou X, Zhou L, Yang Y, Chen J, Liu J, Shang D, Wang X, Zhao Y, Huang X, Zheng Y, Zhang J, Wang Q, Li C. TF-Marker: a comprehensive manually curated database for transcription factors and related markers in specific cell and tissue types in human. Nucleic Acids Res 2022; 50:D402-D412. [PMID: 34986601 PMCID: PMC8728118 DOI: 10.1093/nar/gkab1114] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 10/21/2021] [Accepted: 10/25/2021] [Indexed: 12/26/2022] Open
Abstract
Transcription factors (TFs) play key roles in biological processes and are usually used as cell markers. The emerging importance of TFs and related markers in identifying specific cell types in human diseases increases the need for a comprehensive collection of human TFs and related markers sets. Here, we developed the TF-Marker database (TF-Marker, http://bio.liclab.net/TF-Marker/), aiming to provide cell/tissue-specific TFs and related markers for human. By manually curating thousands of published literature, 5905 entries including information about TFs and related markers were classified into five types according to their functions: (i) TF: TFs which regulate expression of the markers; (ii) T Marker: markers which are regulated by the TF; (iii) I Marker: markers which influence the activity of TFs; (iv) TFMarker: TFs which play roles as markers and (v) TF Pmarker: TFs which play roles as potential markers. The 5905 entries of TF-Marker include 1316 TFs, 1092 T Markers, 473 I Markers, 1600 TFMarkers and 1424 TF Pmarkers, involving 383 cell types and 95 tissue types in human. TF-Marker further provides a user-friendly interface to browse, query and visualize the detailed information about TFs and related markers. We believe TF-Marker will become a valuable resource to understand the regulation patterns of different tissues and cells.
Collapse
Affiliation(s)
- Mingcong Xu
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China.,The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Xuefeng Bai
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China.,State Key Laboratory of Genetic Engineering, Human Phenome Institute and School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Bo Ai
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Guorui Zhang
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Chao Song
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Jun Zhao
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Yuezhu Wang
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Ling Wei
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Fengcui Qian
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Yanyu Li
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Xinyuan Zhou
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Liwei Zhou
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Yongsan Yang
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Jiaxin Chen
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Jiaqi Liu
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.,School of Computer, University of South China, Hengyang, Hunan 421001, China.,The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.,Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, Hunan 421001, China
| | - Desi Shang
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.,School of Computer, University of South China, Hengyang, Hunan 421001, China.,The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.,Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, Hunan 421001, China
| | - Xuan Wang
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Yu Zhao
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.,School of Computer, University of South China, Hengyang, Hunan 421001, China.,The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.,Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, Hunan 421001, China
| | - Xuemei Huang
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.,School of Computer, University of South China, Hengyang, Hunan 421001, China.,The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.,Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, Hunan 421001, China
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute and School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Jian Zhang
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China
| | - Qiuyu Wang
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.,School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China.,School of Computer, University of South China, Hengyang, Hunan 421001, China.,The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.,Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, Hunan 421001, China
| | - Chunquan Li
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing 163319, China.,The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.,School of Computer, University of South China, Hengyang, Hunan 421001, China.,The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.,Hunan Provincial Base for Scientific and Technological Innovation Cooperation, University of South China, Hengyang, Hunan 421001, China.,General Surgery Department, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China.,Guangxi Key Laboratory of Diabetic Systems Medicine, Guilin Medical University, Guilin, Guangxi 541199, China
| |
Collapse
|
5
|
Ye Q, Singh S, Qian PR, Guo NL. Immune-Omics Networks of CD27, PD1, and PDL1 in Non-Small Cell Lung Cancer. Cancers (Basel) 2021; 13:4296. [PMID: 34503105 PMCID: PMC8428355 DOI: 10.3390/cancers13174296] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 08/18/2021] [Accepted: 08/24/2021] [Indexed: 01/03/2023] Open
Abstract
To date, there are no prognostic/predictive biomarkers to select chemotherapy, immunotherapy, and radiotherapy in individual non-small cell lung cancer (NSCLC) patients. Major immune-checkpoint inhibitors (ICIs) have more DNA copy number variations (CNV) than mutations in The Cancer Genome Atlas (TCGA) NSCLC tumors. Nevertheless, CNV-mediated dysregulated gene expression in NSCLC is not well understood. Integrated CNV and transcriptional profiles in NSCLC tumors (n = 371) were analyzed using Boolean implication networks for the identification of a multi-omics CD27, PD1, and PDL1 network, containing novel prognostic genes and proliferation genes. A 5-gene (EIF2AK3, F2RL3, FOSL1, SLC25A26, and SPP1) prognostic model was developed and validated for patient stratification (p < 0.02, Kaplan-Meier analyses) in NSCLC tumors (n = 1163). A total of 13 genes (COPA, CSE1L, EIF2B3, LSM3, MCM5, PMPCB, POLR1B, POLR2F, PSMC3, PSMD11, RPL32, RPS18, and SNRPE) had a significant impact on proliferation in 100% of the NSCLC cell lines in both CRISPR-Cas9 (n = 78) and RNA interference (RNAi) assays (n = 92). Multiple identified genes were associated with chemoresponse and radiotherapy response in NSCLC cell lines (n = 117) and patient tumors (n = 966). Repurposing drugs were discovered based on this immune-omics network to improve NSCLC treatment.
Collapse
Affiliation(s)
- Qing Ye
- West Virginia University Cancer Institute, West Virginia University, Morgantown, WV 26506, USA; (Q.Y.); (S.S.); (P.R.Q.)
- Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA
| | - Salvi Singh
- West Virginia University Cancer Institute, West Virginia University, Morgantown, WV 26506, USA; (Q.Y.); (S.S.); (P.R.Q.)
- Lane Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV 26506, USA
| | - Peter R. Qian
- West Virginia University Cancer Institute, West Virginia University, Morgantown, WV 26506, USA; (Q.Y.); (S.S.); (P.R.Q.)
| | - Nancy Lan Guo
- West Virginia University Cancer Institute, West Virginia University, Morgantown, WV 26506, USA; (Q.Y.); (S.S.); (P.R.Q.)
- Department of Occupational and Environmental Health Sciences, School of Public Health, West Virginia University, Morgantown, WV 26506, USA
| |
Collapse
|
6
|
Mahler MR, Søndergaard HB, Buhelt S, von Essen MR, Romme Christensen J, Enevold C, Sellebjerg F. Multiplex assessment of cerebrospinal fluid biomarkers in multiple sclerosis. Mult Scler Relat Disord 2020; 45:102391. [DOI: 10.1016/j.msard.2020.102391] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 07/09/2020] [Accepted: 07/10/2020] [Indexed: 11/25/2022]
|
7
|
Dong MP, Enomoto M, Thuy LTT, Hai H, Hieu VN, Hoang DV, Iida-Ueno A, Odagiri N, Amano-Teranishi Y, Hagihara A, Fujii H, Uchida-Kobayashi S, Tamori A, Kawada N. Clinical significance of circulating soluble immune checkpoint proteins in sorafenib-treated patients with advanced hepatocellular carcinoma. Sci Rep 2020; 10:3392. [PMID: 32099055 PMCID: PMC7042216 DOI: 10.1038/s41598-020-60440-5] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2019] [Accepted: 02/10/2020] [Indexed: 02/06/2023] Open
Abstract
In hepatocellular carcinoma (HCC), the clinical significance of soluble immune checkpoint protein levels as predictors of patient outcomes or therapeutic responses has yet to be defined. This study profiled the baseline levels of sixteen soluble checkpoint proteins and their changes following sorafenib treatment for HCC. Plasma samples were obtained from 53 patients with advanced HCC at baseline, week 1, 2 and 4 of sorafenib treatment and tested the concentrations of 16 soluble checkpoint proteins using multiplexed fluorescent bead-based immunoassays. Multivariate analysis showed high sBTLA levels at baseline were an independent predictor of poor overall survival (p = 0.038). BTLA was highly expressed in T cells and macrophages in peritumoral areas. At week 2, sCD27 levels were decreased compared to baseline. By contrast, the concentrations of most inhibitory proteins, including sBTLA, sLAG-3, sCTLA-4, sPD-1, sCD80, sCD86 and sPD-L1, had significantly increased. The fold-changes of soluble checkpoint receptors and their ligands, including sCTLA-4 with sCD80/sCD86, sPD-1 with sPD-L1; and the fold-changes of sCTLA-4 with sBTLA or sPD-1 were positively correlated. sBTLA may be a good biomarker for predicting overall survival in HCC patients. Sorafenib treatment in patients with advanced HCC revealed dynamic changes of soluble checkpoint protein levels.
Collapse
Affiliation(s)
- Minh Phuong Dong
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Masaru Enomoto
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Le Thi Thanh Thuy
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Hoang Hai
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Vu Ngoc Hieu
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Dinh Viet Hoang
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Ayako Iida-Ueno
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Naoshi Odagiri
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | | | - Atsushi Hagihara
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Hideki Fujii
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | | | - Akihiro Tamori
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Norifumi Kawada
- Department of Hepatology, Graduate School of Medicine, Osaka City University, Osaka, Japan.
| |
Collapse
|
8
|
Oosterloo BC, van't Land B, de Jager W, Rutten NB, Klöpping M, Garssen J, Vlieger AM, van Elburg RM. Neonatal Antibiotic Treatment Is Associated With an Altered Circulating Immune Marker Profile at 1 Year of Age. Front Immunol 2020; 10:2939. [PMID: 31998285 PMCID: PMC6970186 DOI: 10.3389/fimmu.2019.02939] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 11/29/2019] [Indexed: 12/14/2022] Open
Abstract
Background: Neonatal antibiotics disturb the developing gut microbiome and are therefore thought to influence the developing immune system, but exact mechanisms and health consequences in later life still need to be elucidated. Therefore, we investigated whether neonatal antibiotics influence inflammatory markers at 1 year of age. In addition, we determined whether health problems during the first year of life, e.g., allergic disorders (eczema and wheezing) or infantile colics, were associated with changes in the circulating immune marker profile at 1 year of age. Methods: In a subgroup (N = 149) of the INCA-study, a prospective birth-cohort study, a blood sample was drawn from term born infants at 1 year of age and analyzed for 84 immune related markers using Luminex. Associations of antibiotic treatment, eczema, wheezing, and infantile colics with immune marker concentrations were investigated using a linear regression model. The trial is registered as NCT02536560. Results: The use of broad-spectrum antibiotics in the first week of life, was significantly associated with different levels of inflammatory markers including sVCAM-1, sCD14, sCD19, sCD27, IL-1RII, sVEGF-R1, and HSP70 at 1 year of age. Eczema was associated with decreased concentrations of IFNα, IFNγ, TSLP, CXCL9, and CXCL13, but increased concentrations of CCL18 and Galectin-3. Wheezing, independent of antibiotic treatment, was positively associated to TNF-R2 and resistin. Infantile colics were positively associated to IL-31, LIGHT, YKL-40, CXCL13, sPD1, IL1RI, sIL-7Ra, Gal-1, Gal-9, and S100A8 at 1 year of age, independent of early life antibiotic treatment. Conclusion: In this explorative study, we identified that neonatal antibiotics are associated with immunological alterations at 1 year of age and that, independent of the antibiotic treatment, infantile colics were associated with alterations within gut associated markers. These findings support the importance of the first host microbe interaction in early life immune development.
Collapse
Affiliation(s)
- Berthe C. Oosterloo
- Department of Pediatrics, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Belinda van't Land
- Center for Translational Immunology, University Medical Centre Utrecht, Utrecht, Netherlands
- Danone Nutricia Research, Utrecht, Netherlands
| | - Wilco de Jager
- Center for Translational Immunology, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Nicole B. Rutten
- St. Antonius Hospital, Department of Pediatrics, Nieuwegein, Netherlands
| | - Margot Klöpping
- Center for Translational Immunology, University Medical Centre Utrecht, Utrecht, Netherlands
| | - Johan Garssen
- Danone Nutricia Research, Utrecht, Netherlands
- Utrecht Institute for Pharmaceutical Sciences (UIPS), Utrecht University, Utrecht, Netherlands
| | - Arine M. Vlieger
- St. Antonius Hospital, Department of Pediatrics, Nieuwegein, Netherlands
| | - Ruurd M. van Elburg
- Department of Pediatrics, Emma Children's Hospital, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| |
Collapse
|
9
|
Dang LVP, Pham VH, Nguyen DM, Dinh TT, Nguyen TH, Le TH, Nguyen VL, Vu TP. Elevation of immunoglobulin levels is associated with treatment failure in HIV-infected children in Vietnam. HIV AIDS-RESEARCH AND PALLIATIVE CARE 2019; 11:1-7. [PMID: 30643469 PMCID: PMC6311331 DOI: 10.2147/hiv.s181388] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background HIV-infected children suffer from higher levels of treatment failure compared to adults. Immunoactivation, including humoral immunoactivation reflected by increased immunoglobulin levels, is believed to occur early during HIV infection. Therefore, we wanted investigate alteration in immunoglobulin levels in association with treatment response in HIV-infected children. Methods A nested case–control study was conducted using clinical data collected from 68 HIV-infected children enrolled at the National Hospital of Pediatrics, Vietnam. Results The results showed that immunoglobulin levels, CD4 T-cell counts, CD4 T-cell percentage, and HIV load were significantly higher in the treatment-failure group than the treatment-success group at treatment initiation. IgG and IgA levels were negatively correlated with CD4 T-cell counts (P=0.049 and P<0.01, respectively) and positively correlated with HIV load (P=0.04 and P=0.02, respectively). In addition, IgG and IgA levels were independently associated with treatment response, analyzed by Cox regression analysis (HR 1.19 [P=0.049] and HR 1.69 [P<0.01], respectively). Conclusion Elevation of IgA levels occurred early during HIV infection, and might have a prognostic role in treatment response.
Collapse
Affiliation(s)
- Linh Vu Phuong Dang
- Public Health Laboratory, Hanoi University of Public Health, Hanoi, Vietnam,
| | - Viet Hung Pham
- Department of Microbiology, Vietnam National Hospital of Pediatrics, Hanoi, Vietnam
| | - Duc Minh Nguyen
- Department of Geriatrics, National Hospital of Acupuncture, Hanoi, Vietnam
| | - Thanh Thi Dinh
- Public Health Laboratory, Hanoi University of Public Health, Hanoi, Vietnam,
| | - Thu Hoai Nguyen
- Department of Training and Direction Activity, National Geriatric Hospital, Hanoi, Vietnam
| | - Thanh Hai Le
- Department of Emergency, Vietnam National Hospital of Pediatrics, Hanoi, Vietnam
| | - Van Lam Nguyen
- Department of Infectious Disease, Vietnam National Hospital of Pediatrics, Hanoi, Vietnam
| | - Thi Phuong Vu
- Department of Biochemistry, Hanoi Medical University, Hanoi, Vietnam.,Department of Biochemistry, Dinh Tien Hoang Institute of Medicine, Hanoi, Vietnam
| |
Collapse
|
10
|
Wong YYM, van der Vuurst de Vries RM, van Pelt ED, Ketelslegers IA, Melief MJ, Wierenga AF, Catsman-Berrevoets CE, Neuteboom RF, Hintzen RQ. T-cell activation marker sCD27 is associated with clinically definite multiple sclerosis in childhood-acquired demyelinating syndromes. Mult Scler 2018; 24:1715-1724. [PMID: 30019626 PMCID: PMC6238180 DOI: 10.1177/1352458518786655] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Background: Cerebrospinal fluid (CSF) levels of T-cell activation marker soluble CD27 (sCD27) are associated with subsequent disease activity after a first attack of suspected MS in adults. The predictive value for disease course in children with acquired demyelinating syndromes (ADS) is unknown. Objectives: To assess the predictive value of sCD27 levels for clinically definite multiple sclerosis (CDMS) diagnosis in childhood ADS. Methods: Children <18 years with a first demyelinating event were prospectively included and followed. Soluble CD27 was determined in CSF using an enzyme-linked immunosorbent assay (ELISA). Cox regression analyses were used to calculate hazard ratios (HRs) for CDMS. Results: A total of 94 ADS children were included (ADS with encephalopathy (ADS+) n = 33 and ADS without encephalopathy (ADS–) n = 61). Of the 61 ADS– children, 21 (48%) were diagnosed with CDMS during follow-up. At baseline, sCD27 levels were higher in patients with a future CDMS diagnosis (n = 29) than in monophasic ADS+ (n = 30), monophasic ADS– (n = 28) and relapsing non-MS patients (n = 7; p < 0.001). In ADS– patients, sCD27 was associated with CDMS (HR = 1.8 per 100 U/mL increase in sCD27 levels, p = 0.031), after adjustments for age, oligoclonal bands and the presence of dissemination in space on baseline magnetic resonance imaging (MRI). Conclusion: CSF sCD27 levels at first attack of demyelination were associated with CDMS diagnosis in children. This makes sCD27 a potential clinically relevant quantitative marker when performing routine CSF diagnostics.
Collapse
Affiliation(s)
- Yu Yi M Wong
- Department of Neurology, Erasmus MC, Rotterdam, The Netherlands
| | | | | | | | | | - Annet F Wierenga
- Department of Immunology, Erasmus MC, Rotterdam, The Netherlands
| | | | - Rinze F Neuteboom
- Department of Paediatric Neurology, Erasmus MC-Sophia, Rotterdam, The Netherlands
| | - Rogier Q Hintzen
- Department of Neurology, Erasmus MC, Rotterdam, The Netherlands/Department of Immunology, Erasmus MC, Rotterdam, The Netherlands
| |
Collapse
|
11
|
Ley K, Gerdes N, Winkels H. ATVB Distinguished Scientist Award: How Costimulatory and Coinhibitory Pathways Shape Atherosclerosis. Arterioscler Thromb Vasc Biol 2017; 37:764-777. [PMID: 28360089 DOI: 10.1161/atvbaha.117.308611] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 03/20/2017] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Immune cells play a critical role in atherosclerosis. Costimulatory and coinhibitory molecules of the tumor necrosis factor receptor and CD28 immunoglobulin superfamilies not only shape T-cell and B-cell responses but also have a major effect on antigen-presenting cells and nonimmune cells. APPROACH AND RESULTS Pharmacological inhibition or activation of costimulatory and coinhibitory molecules and genetic deletion demonstrated their involvement in atherosclerosis. This review highlights recent advances in understanding how costimulatory and coinhibitory pathways shape the immune response in atherosclerosis. CONCLUSIONS Insights gained from costimulatory and coinhibitory molecule function in atherosclerosis may inform future therapeutic approaches.
Collapse
Affiliation(s)
- Klaus Ley
- From the Division of Inflammation Biology, La Jolla Institute for Allergy & Immunology, CA (K.L., H.W.); Division of Cardiology, Pulmonology, and Vascular Medicine, Medical Faculty, University Hospital Düsseldorf, Germany (N.G.); and Institute for Cardiovascular Prevention (IPEK), Ludwig-Maximilians-University (LMU), Munich, Germany (N.G.).
| | - Norbert Gerdes
- From the Division of Inflammation Biology, La Jolla Institute for Allergy & Immunology, CA (K.L., H.W.); Division of Cardiology, Pulmonology, and Vascular Medicine, Medical Faculty, University Hospital Düsseldorf, Germany (N.G.); and Institute for Cardiovascular Prevention (IPEK), Ludwig-Maximilians-University (LMU), Munich, Germany (N.G.)
| | - Holger Winkels
- From the Division of Inflammation Biology, La Jolla Institute for Allergy & Immunology, CA (K.L., H.W.); Division of Cardiology, Pulmonology, and Vascular Medicine, Medical Faculty, University Hospital Düsseldorf, Germany (N.G.); and Institute for Cardiovascular Prevention (IPEK), Ludwig-Maximilians-University (LMU), Munich, Germany (N.G.)
| |
Collapse
|
12
|
Castañeda DM, Salgado DM, Narváez CF. B cells naturally induced during dengue virus infection release soluble CD27, the plasma level of which is associated with severe forms of pediatric dengue. Virology 2016; 497:136-145. [DOI: 10.1016/j.virol.2016.07.014] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2016] [Revised: 07/15/2016] [Accepted: 07/18/2016] [Indexed: 01/13/2023]
|
13
|
Azizi G, Abolhassani H, Asgardoon MH, Alinia T, Yazdani R, Mohammadi J, Rezaei N, Ochs HD, Aghamohammadi A. Autoimmunity in common variable immunodeficiency: epidemiology, pathophysiology and management. Expert Rev Clin Immunol 2016; 13:101-115. [DOI: 10.1080/1744666x.2016.1224664] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Gholamreza Azizi
- Department of Laboratory Medicine, Imam Hassan Mojtaba Hospital, Alborz University of Medical Sciences, Karaj, Iran
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Primary Immunodeficiency Diseases Network (PIDNet), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Hassan Abolhassani
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Division of Clinical Immunology, Department of Laboratory Medicine, Karolinska Institute at Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Mohammad Hosein Asgardoon
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Iranian Student Society for Immunodeficiencies, Student’s Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Tina Alinia
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Reza Yazdani
- Department of Immunology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Javad Mohammadi
- Department of Biomedical Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Hans D. Ochs
- Seattle Children’s Research Institute and Department of Pediatrics, University of Washington, Seattle, WA, USA
| | - Asghar Aghamohammadi
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children’s Medical Center, Tehran University of Medical Sciences, Tehran, Iran
- Primary Immunodeficiency Diseases Network (PIDNet), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| |
Collapse
|
14
|
Land J, Abdulahad WH, Sanders JSF, Stegeman CA, Heeringa P, Rutgers A. Regulatory and effector B cell cytokine production in patients with relapsing granulomatosis with polyangiitis. Arthritis Res Ther 2016; 18:84. [PMID: 27044386 PMCID: PMC4820899 DOI: 10.1186/s13075-016-0978-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 03/18/2016] [Indexed: 12/11/2022] Open
Abstract
Background B cells are capable of producing regulatory and effector cytokines. In patients with granulomatosis with polyangiitis (GPA), skewing of the pro- and anti-inflammatory cytokine balance may affect the risk of relapse. This study aimed to investigate differences in B cell cytokine production in patients with relapsing GPA and in controls, and determine whether this can aid in relapse prediction. Methods Thirteen GPA patients with an upcoming relapse were matched with non-relapsing patients and healthy controls in a retrospective design. The B cell subset distribution was determined from peripheral blood. Cryopreserved peripheral blood mononuclear cells were cultured and intracellular B cell production of regulatory (IL10) and effector (TNFα, IFNγ, IL2, IL6) cytokines was assessed. Finally, serum markers associated with B cell activation (sCD27) and migration (CCL19) were determined. Results GPA patient samples exhibited significantly lower percentages of TNFα+ B cells than controls, an effect that was most pronounced in patients about to relapse. B cell capacity for IL10 production was similar in patients and controls. No significant differences were observed for cytokine production in relapsing and non-relapsing GPA patients. TNFα production correlated strongly with IL2, IFNγ and the percentage of memory B cells. No change in effector cytokines occurred before relapse, while the percentage of IL10+ B cells significantly decreased. GPA patients in remission had increased serum levels of CCL19 and sCD27, and sCD27 levels increased upon active disease. Conclusions While differences in effector B cell cytokine production were observed between patients and controls, monitoring this in GPA did not clearly distinguish patients about to relapse. Prospective measurements of the regulatory cytokine IL10 may have potential for relapse prediction. Memory B cells appear mainly responsible for effector cytokine production. Increased migration of these cells could explain the decreased presence of TNFα+ B cells in the circulation. Electronic supplementary material The online version of this article (doi:10.1186/s13075-016-0978-1) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Judith Land
- Department of Rheumatology and Clinical Immunology, AA21, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Wayel H Abdulahad
- Department of Rheumatology and Clinical Immunology, AA21, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands
| | - Jan-Stephan F Sanders
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Coen A Stegeman
- Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Peter Heeringa
- Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Abraham Rutgers
- Department of Rheumatology and Clinical Immunology, AA21, University of Groningen, University Medical Center Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands.
| |
Collapse
|
15
|
The CD27–CD70 pathway and pathogenesis of autoimmune disease. Semin Arthritis Rheum 2016; 45:496-501. [DOI: 10.1016/j.semarthrit.2015.08.001] [Citation(s) in RCA: 42] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 07/27/2015] [Accepted: 08/05/2015] [Indexed: 11/19/2022]
|
16
|
Bassig BA, Shu XO, Koh WP, Gao YT, Purdue MP, Butler LM, Adams-Haduch J, Xiang YB, Kemp TJ, Wang R, Pinto LA, Zheng T, Ji BT, Hosgood HD, Hu W, Yang G, Zhang H, Chow WH, Kim C, Seow WJ, Zheng W, Yuan JM, Lan Q, Rothman N. Soluble levels of CD27 and CD30 are associated with risk of non-Hodgkin lymphoma in three Chinese prospective cohorts. Int J Cancer 2015; 137:2688-95. [PMID: 26095604 DOI: 10.1002/ijc.29637] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2015] [Revised: 05/21/2015] [Accepted: 05/26/2015] [Indexed: 01/06/2023]
Abstract
Prospective studies conducted in Western populations have suggested that alterations in soluble CD27 (sCD27) and soluble CD30 (sCD30), two markers indicative of B-cell activation, are associated with risk of non-Hodgkin lymphoma (NHL). Given that the characteristics of NHL in East Asia differ from the West and mechanistic commonalities between these populations with respect to the role of intermediate endpoint biomarkers in lymphomagenesis have not been explored, we conducted a pooled nested case-control study from three prospective studies of Chinese men and women including 218 NHL cases and 218 individually matched controls. Compared with the lowest quartile, ORs (95% CIs) for the second, third and fourth quartiles of sCD27 were 1.60 (0.83-3.09), 1.94 (0.98-3.83) and 4.45 (2.25-8.81), respectively (p(trend) = 0.000005). The corresponding ORs for sCD30 were 1.74 (0.85-3.58), 1.86 (0.94-3.67) and 5.15 (2.62-10.12; p(trend) = 0.0000002). These associations remained statistically significant in individuals diagnosed with NHL 10 or more years after blood draw. Notably, the magnitude of the associations with NHL risk was very similar to those in Western populations in previous studies. These findings of the similar association between sCD27 or sCD30 and NHL risk across different populations support an important underlying mechanism of B-cell activation in lymphomagenesis.
Collapse
Affiliation(s)
- Bryan A Bassig
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Xiao-Ou Shu
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Woon-Puay Koh
- Duke-NUS Graduate Medical School Singapore, Singapore
| | - Yu-Tang Gao
- Department of Epidemiology, Shanghai Cancer Institute, Shanghai Jiaotong University, Shanghai, China
| | - Mark P Purdue
- Ontario Institute for Cancer Research, Toronto, ON, Canada
| | - Lesley M Butler
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA.,Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA
| | - Jennifer Adams-Haduch
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | - Yong-Bing Xiang
- Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Troy J Kemp
- HPV Immunology Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD
| | - Renwei Wang
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA
| | - Ligia A Pinto
- HPV Immunology Laboratory, Leidos Biomedical Research Inc., Frederick National Laboratory for Cancer Research, Frederick, MD
| | | | - Bu-Tian Ji
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - H Dean Hosgood
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, NY
| | - Wei Hu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Gong Yang
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Heping Zhang
- Yale University School of Public Health, New Haven, CT
| | - Wong-Ho Chow
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Christopher Kim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Wei Jie Seow
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA.,Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, PA
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Nathaniel Rothman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| |
Collapse
|
17
|
Hu Z, Luo Z, Wan Z, Wu H, Li W, Zhang T, Jiang W. HIV-associated memory B cell perturbations. Vaccine 2015; 33:2524-9. [PMID: 25887082 PMCID: PMC4420662 DOI: 10.1016/j.vaccine.2015.04.008] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Revised: 04/01/2015] [Accepted: 04/02/2015] [Indexed: 12/15/2022]
Abstract
Memory B-cell depletion, hyperimmunoglobulinemia, and impaired vaccine responses are the hallmark of B cell perturbations inhuman immunodeficiency virus (HIV) disease. Although B cells are not the targets for HIV infection, there is evidence for B cell, especially memory B cell dysfunction in HIV disease mediated by other cells or HIV itself. This review will focus on HIV-associated phenotypic and functional alterations in memory B cells. Additionally, we will discuss the mechanism underlying these perturbations and the effect of anti-retroviral therapy (ART) on these perturbations.
Collapse
Affiliation(s)
- Zhiliang Hu
- Department of Infectious Disease, the Second Affiliated Hospital of the Southeast University, Nanjing 210003, China; Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Zhenwu Luo
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Zhuang Wan
- Hollings Cancer Center, Medical University of South Carolina, Charleston, SC 29425, USA
| | - Hao Wu
- Beijing You'an Hospital, Capital Medical University, No. 8 Xitoutiao, You'an men wai, Fengtai District, Beijing 100069, China
| | - Wei Li
- Beijing You'an Hospital, Capital Medical University, No. 8 Xitoutiao, You'an men wai, Fengtai District, Beijing 100069, China
| | - Tong Zhang
- Beijing You'an Hospital, Capital Medical University, No. 8 Xitoutiao, You'an men wai, Fengtai District, Beijing 100069, China.
| | - Wei Jiang
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, SC 29425, USA; Division of Infectious Diseases, Department of Medicine, Medical University of South Carolina, Charleston, SC 29425, USA.
| |
Collapse
|
18
|
Figgett WA, Vincent FB, Saulep-Easton D, Mackay F. Roles of ligands from the TNF superfamily in B cell development, function, and regulation. Semin Immunol 2014; 26:191-202. [PMID: 24996229 DOI: 10.1016/j.smim.2014.06.001] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2014] [Accepted: 06/09/2014] [Indexed: 01/01/2023]
Abstract
Most ligands from the tumour necrosis factor (TNF) superfamily play very important roles in the immune system, and particularly so in B lymphocyte biology. TNF ligands are essential to many aspects of normal B cell biology from development in the bone marrow to maturation in the periphery as well as for activation and differentiation into germinal centre, memory or plasma cells. TNF ligands also influence other aspects of B cell biology such as their ability to present antigens or regulate immune responses. Importantly, inadequate regulation of many TNF ligands is associated with B cell disorders including autoimmunity and cancers. As a result, inhibitors of a number of TNF ligands have been tested in the clinic, with some becoming very successful approved treatments alleviating B cell-mediated pathologies.
Collapse
Affiliation(s)
- William A Figgett
- Department of Immunology, Monash University, Central Clinical School, Alfred Medical Research and Education Precinct (AMREP), Commercial Road, Melbourne, Victoria 3004, Australia
| | - Fabien B Vincent
- Department of Immunology, Monash University, Central Clinical School, Alfred Medical Research and Education Precinct (AMREP), Commercial Road, Melbourne, Victoria 3004, Australia
| | - Damien Saulep-Easton
- Department of Immunology, Monash University, Central Clinical School, Alfred Medical Research and Education Precinct (AMREP), Commercial Road, Melbourne, Victoria 3004, Australia
| | - Fabienne Mackay
- Department of Immunology, Monash University, Central Clinical School, Alfred Medical Research and Education Precinct (AMREP), Commercial Road, Melbourne, Victoria 3004, Australia.
| |
Collapse
|
19
|
Demberg T, Mohanram V, Venzon D, Robert-Guroff M. Phenotypes and distribution of mucosal memory B-cell populations in the SIV/SHIV rhesus macaque model. Clin Immunol 2014; 153:264-76. [PMID: 24814239 DOI: 10.1016/j.clim.2014.04.017] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2014] [Revised: 03/31/2014] [Accepted: 04/29/2014] [Indexed: 12/25/2022]
Abstract
As vaccine-elicited antibodies have now been associated with HIV protective efficacy, a thorough understanding of mucosal and systemic B-cell development and maturation is needed. We phenotyped mucosal memory B-cells, investigated isotype expression and homing patterns, and defined plasmablasts and plasma cells at three mucosal sites (duodenum, jejunum and rectum) in rhesus macaques, the commonly used animal model for pre-clinical vaccine studies. Unlike humans, macaque mucosal memory B-cells lacked CD27 expression; only two sub-populations were present: naïve (CD21(+)CD27(-)) and tissue-like (CD21(-)CD27(-)) memory. Similar to humans, IgA was the dominant isotype expressed. The homing markers CXCR4, CCR6, CCR9 and α4β7 were differentially expressed between naïve and tissue-like memory B-cells. Mucosal plasmablasts were identified as CD19(+)CD20(+/-)HLA-DR(+)Ki-67(+)IRF4(+)CD138(+/-) and mucosal plasma cells as CD19(+)CD20(-)HLA-DR(-)Ki-67(-)IRF4(+)CD138(+). Both populations were CD39(+/-)CD27(-). Plasma cell phenotype was confirmed by spontaneous IgA secretion by ELISpot of positively-selected cells and J-chain expression by real-time PCR. Duodenal, jejunal and rectal samples were similar in B-cell memory phenotype, isotype expression, homing receptors and plasmablast/plasma cell distribution among the three tissues. Thus rectal biopsies adequately monitor B-cell dynamics in the gut mucosa, and provide a critical view of mucosal B-cell events associated with development of vaccine-elicited protective immune responses and SIV/SHIV pathogenesis and disease control.
Collapse
Affiliation(s)
- Thorsten Demberg
- Section on Immune Biology of Retroviral Infection, Vaccine Branch, National Cancer Institute, Bethesda, MD 20892, USA
| | - Venkatramanan Mohanram
- Section on Immune Biology of Retroviral Infection, Vaccine Branch, National Cancer Institute, Bethesda, MD 20892, USA
| | - David Venzon
- Biostatistics and Data Management Section, National Cancer Institute, Bethesda, MD 20892, USA
| | - Marjorie Robert-Guroff
- Section on Immune Biology of Retroviral Infection, Vaccine Branch, National Cancer Institute, Bethesda, MD 20892, USA.
| |
Collapse
|
20
|
Huang J, Jochems C, Anderson AM, Talaie T, Jales A, Madan RA, Hodge JW, Tsang KY, Liewehr DJ, Steinberg SM, Gulley JL, Schlom J. Soluble CD27-pool in humans may contribute to T cell activation and tumor immunity. THE JOURNAL OF IMMUNOLOGY 2013; 190:6250-8. [PMID: 23677477 DOI: 10.4049/jimmunol.1300022] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
The interaction between CD27 and its ligand, CD70, has been implicated in regulating cellular immune responses to cancer. In this article, we report on the role of soluble CD27 (sCD27) in T cell activation and its elevation in the serum of cancer patients after immunotherapy. In vitro, sCD27 is preferentially derived from activated CD4(+) T cells. Adding sCD27 to stimulated PBMCs increases T cell activation and proliferation, and is associated with the immunologic synapse-related proteins myosin IIA, high mobility group box 1, and the TCR Vβ-chain. The pool of serum sCD27 is shown to be greater in healthy donors than in cancer patients. However, metastatic cancer patients treated with immunotherapy showed a significant increase in the serum sCD27-pool posttherapy (p < 0.0005); there was also an increased trend toward an association between enhanced sCD27-pool posttherapy and overall survival (p = 0.022). The identification of sCD27 as an immune modulator associated with enhanced human T cell activation in vitro and in vivo provides a rationale for developing new immunotherapeutic strategies aimed at enhancing sCD27 for treating cancer and potentially other diseases.
Collapse
Affiliation(s)
- Jianping Huang
- Laboratory of Tumor Immunology and Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
21
|
|
22
|
Yoshino K, Kishibe K, Nagato T, Ueda S, Komabayashi Y, Takahara M, Harabuchi Y. Expression of CD70 in nasal natural killer/T cell lymphoma cell lines and patients; its role for cell proliferation through binding to soluble CD27. Br J Haematol 2012. [PMID: 23206232 DOI: 10.1111/bjh.12136] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Nasal natural killer (NK)/T cell lymphoma (NNKTL) is associated with Epstein-Barr virus (EBV). The present study analysed gene expression patterns of the NNKTL cell lines SNK6, SNK1 and SNT8, which are positive for EBV and latent membrane protein (LMP)-1, using a complementary DNA array analysis. We found that CD70 was specifically expressed in SNK6 and SNT8. Reverse transcription polymerase chain reaction and flow cytometric analyses confirmed that CD70 was expressed in all 3 NNKTL cell lines, but not in the other EBV-positive NK-cell lines. In vitro studies showed that NNKTL cell lines proliferated, in a dose-dependent fashion, in response to exogenous soluble CD27, which is the ligand for CD70. In NNKTL patients, we confirmed that the CD70 was expressed on the lymphoma cells in NNKTL tissues and that soluble CD27 was present in sera at higher levels as compared to healthy individuals. Finally, complement-dependent cytotoxicity assay showed that anti-CD70 antibody mediated effective complement-dependent killing of NNKTL cells and the affected target CD70 expression on the cells. These results suggest that CD70 acts as a functional receptor binding to soluble CD27, resulting in lymphoma progression and that immunotherapy using anti-CD70 antibody may be a potential candidate for treatment for NNKTL.
Collapse
Affiliation(s)
- Kazumi Yoshino
- Department of Otolaryngology-Head and Neck Surgery, Asahikawa Medical College, Asahikawa, Japan
| | | | | | | | | | | | | |
Collapse
|
23
|
|