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Xiao W, Yu K, Deng X, Zeng Y. Natural killer cell-associated prognosis model characterizes immune landscape and treatment efficacy of diffuse large B cell lymphoma. Cytokine 2024; 182:156726. [PMID: 39111113 DOI: 10.1016/j.cyto.2024.156726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2024] [Revised: 07/29/2024] [Accepted: 08/01/2024] [Indexed: 08/25/2024]
Abstract
PURPOSE NK cells are essential for the detection, identification and prediction of cancer. However, so far, there is no prognostic risk model based on NK cell-related genes to predict the prognosis and treatment outcome of DLBCL patients. This study aimed to explore a risk assessment model that could accurately predict the prognosis and treatment efficacy of DLBCL. METHODS Bioinformatics analysis of the expression profiles of DLBCL samples in the GEO database was performed. Cox regression and LASSO regression analysis were used to determine NK cell-related genes associated with patient's prognosis. Based on these genes, a risk assessment model was constructed to predict the prognosis of patients and the effectiveness of treatment. Finally, qRT-PCR was used to verify the expression of gene tags in clinical samples. RESULTS We identified seven prognosis-related NK cell-related genes (MAP2K1, PRKCB, TNFRSF10B, IL18, LAMP1, RASGRP1, and SP110), and DLBCL patients were divided into low- and high-risk groups based on these genes. Survival analysis showed that the prognosis of patients with low-risk group was better. Pathway enrichment analysis showed that the differentially expressed genes between the two risk groups were related to immune response pathways. Compared with the high-risk group, the low-risk group had higher infiltration of immune cells in tumor tissues. Besides, compared with high-risk group, low-risk patients by immunotherapy or other commonly used anti-tumor drugs might have better efficacy after treatment. In addition, qRT-PCR showed that the expression of risk genes including TNFRSF10B, IL18 and LAMP1 were significantly increased in most DLBCL samples compared to control samples, while the expression of protective genes including MAP2K1, PRKCB, RASGRP1 and SP110 were significantly decreased. CONCLUSION The NK cell-related gene signatures were proved to be a reliable indicator of the success of immunotherapy in patients with DLBCL, thus providing a unique evaluation method.
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Affiliation(s)
- Wei Xiao
- Department of Hematology, The Seventh Affiliated Hospital, Sun Yat-sen University, No. 628 Zhenyuan Road, Guangming District, Shenzhen 518107, Guangdong Province, China
| | - Kuai Yu
- Department of Blood Transfusion, The First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Nanchang 330209, Jiangxi Province, China; Key Laboratory of Jiangxi Province for Transfusion Medicine, The First Affiliated Hospital of Nanchang University, No. 17 Yongwaizheng Street, Nanchang 330209, Jiangxi Province, China
| | - Xuefei Deng
- Department of Hematology, The Seventh Affiliated Hospital, Sun Yat-sen University, No. 628 Zhenyuan Road, Guangming District, Shenzhen 518107, Guangdong Province, China
| | - Yunxin Zeng
- Department of Hematology, The Seventh Affiliated Hospital, Sun Yat-sen University, No. 628 Zhenyuan Road, Guangming District, Shenzhen 518107, Guangdong Province, China.
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Graham LV, Fisher JG, Doyle ADP, Sale B, Del Rio L, French AJE, Mayor NP, Turner TR, Marsh SGE, Cragg MS, Forconi F, Khakoo SI, Blunt MD. KIR2DS2+ NK cells in cancer patients demonstrate high activation in response to tumour-targeting antibodies. Front Oncol 2024; 14:1404051. [PMID: 39286025 PMCID: PMC11402612 DOI: 10.3389/fonc.2024.1404051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 08/13/2024] [Indexed: 09/19/2024] Open
Abstract
Strategies to mobilise natural killer (NK) cells against cancer include tumour-targeting antibodies, NK cell engagers (NKCEs) and the adoptive transfer of ex vivo expanded healthy donor-derived NK cells. Genetic and functional studies have revealed that expression of the activating killer immunoglobulin-like receptor KIR2DS2 is associated with enhanced function in NK cells from healthy donors and improved outcome in several different malignancies. The optimal strategy to leverage KIR2DS2+ NK cells therapeutically is however currently unclear. In this study, we therefore evaluated the response of KIR2DS2-expressing NK cells to activation against cancer with clinically relevant tumour-targeting antibodies and following ex vivo expansion. We identified that KIR2DS2high NK cells from patients with chronic lymphocytic leukaemia and hepatocellular carcinoma had enhanced activation in response to tumour-targeting antibodies compared to KIR2DS2- NK cells. However, the superior function of healthy donor derived KIR2DS2high NK cells was lost following ex vivo expansion which is required for adoptive transfer-based therapeutic strategies. These data provide evidence that targeting KIR2DS2 directly in cancer patients may allow for the utilisation of their enhanced effector function, however such activity may be lost following their ex vivo expansion.
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Affiliation(s)
- Lara V Graham
- School of Clinical and Experimental Sciences, University of Southampton, Southampton, United Kingdom
| | - Jack G Fisher
- School of Clinical and Experimental Sciences, University of Southampton, Southampton, United Kingdom
| | - Amber D P Doyle
- School of Clinical and Experimental Sciences, University of Southampton, Southampton, United Kingdom
| | - Ben Sale
- School of Cancer Sciences, University of Southampton, Southampton, United Kingdom
| | - Luis Del Rio
- School of Cancer Sciences, University of Southampton, Southampton, United Kingdom
| | - Albert J E French
- Anthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom
| | - Neema P Mayor
- Anthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom
- Department of Academic Haematology, University College London (UCL) Cancer Institute, London, United Kingdom
| | - Thomas R Turner
- Anthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom
- Department of Academic Haematology, University College London (UCL) Cancer Institute, London, United Kingdom
| | - Steven G E Marsh
- Anthony Nolan Research Institute, Royal Free Hospital, London, United Kingdom
- Department of Academic Haematology, University College London (UCL) Cancer Institute, London, United Kingdom
| | - Mark S Cragg
- School of Cancer Sciences, University of Southampton, Southampton, United Kingdom
- Antibody and Vaccine Group, Centre for Cancer Immunology, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Francesco Forconi
- School of Cancer Sciences, University of Southampton, Southampton, United Kingdom
- Haematology Department, Cancer Care Directorate, University Hospital Southampton National Health Service (NHS) Trust, Southampton, United Kingdom
| | - Salim I Khakoo
- School of Clinical and Experimental Sciences, University of Southampton, Southampton, United Kingdom
| | - Matthew D Blunt
- School of Clinical and Experimental Sciences, University of Southampton, Southampton, United Kingdom
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Li M, Wan ZX, Tang YY, Liang XH, Tang YL. TIM-3/Galectin-9 and CD160 expression in salivary adenoid cystic carcinoma. Oral Dis 2024; 30:2262-2274. [PMID: 37455567 DOI: 10.1111/odi.14666] [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: 01/24/2023] [Revised: 06/04/2023] [Accepted: 06/19/2023] [Indexed: 07/18/2023]
Abstract
OBJECTIVE Investigating T-cell immunoglobulin and mucin-domain containing-3 (TIM-3), Galectin 9 (Gal-9), CD160 expression and tumor-infiltrating lymphocytes (TILs) and correlation with clinicopathological characteristics of salivary adenoid cystic carcinoma (SACC). METHODS Sixty cases of SACC were detected by immunohistochemical staining to evaluate TIM-3, Gal-9, and CD160 expression and analyze the correlation between TIM-3, Gal-9, CD160 expression and clinicopathologic features by rank-sum test. The association of TILs with TIM-3, Gal-9, and CD160 expression in SACC stromal was done by Chi-square test. RESULTS TIM-3 and CD160 overexpression were correlated with recurrence of SACC (p = 0.029, p = 0.007, respectively). High Gal-9 expression was correlated with pathological classification (p = 0.018). The average percentage of TILs was 18.2% in SACC and most of TILs were more likely to occur in minor salivary glands (p = 0.038). Pairwise positive correlations were observed between the expression of TIM-3, Gal-9, and CD160 in tumor cells as well as in TILs, respectively. CONCLUSION Low density of TILs was characteristic of the SACC microenvironment, with upregulation of TIM-3, Gal-9, and CD160 all occurring. However, TIM-3, Gal-9, and CD160 expression in the stromal dependent on the number of TILs represent potential therapeutic targets in SACC.
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Affiliation(s)
- Mao Li
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, Department of Pathology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Zi-Xin Wan
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, Department of Pathology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Yue-Yang Tang
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, Department of Pathology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Xin-Hua Liang
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology, Sichuan University, Chengdu, China
| | - Ya-Ling Tang
- State Key Laboratory of Oral Diseases and National Clinical Research Center for Oral Diseases, Department of Pathology, West China Hospital of Stomatology, Sichuan University, Chengdu, China
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Zhang H, Zhang X, Zhang Y, Han D, Ha H, Zhang B, Shang P. Pan-Cancer Analysis Shows that KIFC2 is a Potential Prognostic and Immunotherapeutic Biomarker for Multiple Cancer Types Including Bladder Cancer. Mol Biotechnol 2024:10.1007/s12033-024-01149-y. [PMID: 38658471 DOI: 10.1007/s12033-024-01149-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 02/29/2024] [Indexed: 04/26/2024]
Abstract
KIFC2 plays an important role in prostate cancer progression and chemotherapy resistance, but the mechanism of its involvement in other malignancies remains unclear. Therefore, this study aimed to analyze and validate the mechanism of effect of KIFC2 in multiple tumors. Bioinformatic analysis was performed in conjunction with multiple databases (The Cancer Genome Atlas, Genotype-Tissue Expression Project, Human Protein Atlas, etc.) to fully explore the potential role of KIFC2 within individual tumors and to analyze the correlation with major research components such as prognosis, mutations, and the tumor microenvironment. The expression of KIFC2 demonstrates a significant correlation with the prognosis, clinical phenotype, tumor mutational burden, microsatellite instability, and tumor microenvironment across various malignancies and is associated with the modulation of diverse functional and signaling pathways. The differences in the expression of KIFC2 in the bladder cancer tissues (14 pairs) were statistically significant. The pan-cancer analysis in this study revealed the multifunctionality of KIFC2 in a variety of tumors, indicating a possible prognostic predictor and potential therapeutic target for tumors.
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Affiliation(s)
- Helin Zhang
- The Second Hospital & Clinical Medical School, Lanzhou University, Key Laboratory of Urological Diseases in Gansu Province, No. 82 Cui Ying Gate, Cheng Guan District, Lanzhou, 730030, Gansu, China
| | - Xingxing Zhang
- The Second Hospital & Clinical Medical School, Lanzhou University, Key Laboratory of Urological Diseases in Gansu Province, No. 82 Cui Ying Gate, Cheng Guan District, Lanzhou, 730030, Gansu, China
| | - Yuelin Zhang
- The Second Hospital & Clinical Medical School, Lanzhou University, Key Laboratory of Urological Diseases in Gansu Province, No. 82 Cui Ying Gate, Cheng Guan District, Lanzhou, 730030, Gansu, China
| | - Dali Han
- The Second Hospital & Clinical Medical School, Lanzhou University, Key Laboratory of Urological Diseases in Gansu Province, No. 82 Cui Ying Gate, Cheng Guan District, Lanzhou, 730030, Gansu, China
| | - Hualan Ha
- The Second Hospital & Clinical Medical School, Lanzhou University, Key Laboratory of Urological Diseases in Gansu Province, No. 82 Cui Ying Gate, Cheng Guan District, Lanzhou, 730030, Gansu, China
| | - Biao Zhang
- The Second Hospital & Clinical Medical School, Lanzhou University, Key Laboratory of Urological Diseases in Gansu Province, No. 82 Cui Ying Gate, Cheng Guan District, Lanzhou, 730030, Gansu, China
| | - Panfeng Shang
- The Second Hospital & Clinical Medical School, Lanzhou University, Key Laboratory of Urological Diseases in Gansu Province, No. 82 Cui Ying Gate, Cheng Guan District, Lanzhou, 730030, Gansu, China.
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5
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Tang L, Xu H, Wu T, Wu W, Lu Y, Gu J, Wang X, Zhou M, Chen Q, Sun X, Cai H. Advances in tumor microenvironment and underlying molecular mechanisms of bladder cancer: a systematic review. Discov Oncol 2024; 15:111. [PMID: 38602556 PMCID: PMC11009183 DOI: 10.1007/s12672-024-00902-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 02/21/2024] [Indexed: 04/12/2024] Open
Abstract
Bladder cancer is one of the most frequent malignant tumors of the urinary system. The prevalence of bladder cancer among men and women is roughly 5:2, and both its incidence and death have been rising steadily over the past few years. At the moment, metastasis and recurrence of advanced bladder cancer-which are believed to be connected to the malfunction of multigene and multilevel cell signaling network-remain the leading causes of bladder cancer-related death. The therapeutic treatment of bladder cancer will be greatly aided by the elucidation of these mechanisms. New concepts for the treatment of bladder cancer have been made possible by the advancement of research technologies and a number of new treatment options, including immunotherapy and targeted therapy. In this paper, we will extensively review the development of the tumor microenvironment and the possible molecular mechanisms of bladder cancer.
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Affiliation(s)
- Liu Tang
- Department of Nursing, Jiangsu Cancer Hospital and The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, China
| | - Haifei Xu
- Department of Urology, Nantong Tumor Hospital and Tumor Hospital Affiliated to Nantong University, Nantong, China
| | - Tong Wu
- Department of Radiology, Nanjing Medical University The Fourth School of Clinical Medicine, Nanjing, Jiangsu, China
| | - Wenhao Wu
- Department of Radiology, Nanjing Medical University The Fourth School of Clinical Medicine, Nanjing, Jiangsu, China
| | - Yuhao Lu
- Department of Radiology, Nanjing Medical University The Fourth School of Clinical Medicine, Nanjing, Jiangsu, China
| | - Jijia Gu
- Department of Radiology, Nanjing Medical University The Fourth School of Clinical Medicine, Nanjing, Jiangsu, China
| | - Xiaoling Wang
- Department of Urology, Nantong Tumor Hospital and Tumor Hospital Affiliated to Nantong University, Nantong, China
| | - Mei Zhou
- Department of Nursing, Jiangsu Cancer Hospital and The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, China.
| | - Qiuyang Chen
- Department of Radiology, Nanjing Medical University The Fourth School of Clinical Medicine, Nanjing, Jiangsu, China.
| | - Xuan Sun
- Department of Radiology, Nanjing Medical University The Fourth School of Clinical Medicine, Nanjing, Jiangsu, China.
| | - Hongzhou Cai
- Department of Urology, Jiangsu Cancer Hospital and The Affiliated Cancer Hospital of Nanjing Medical University and Jiangsu Institute of Cancer Research, Nanjing, Jiangsu, China.
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Al Kamran Khan MA, Wu J, Sun Y, Barrow AD, Papenfuss AT, Mangiola S. cellsig plug-in enhances CIBERSORTx signature selection for multidataset transcriptomes with sparse multilevel modelling. Bioinformatics 2023; 39:btad685. [PMID: 37952182 PMCID: PMC10692870 DOI: 10.1093/bioinformatics/btad685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 09/19/2023] [Accepted: 11/10/2023] [Indexed: 11/14/2023] Open
Abstract
MOTIVATION The precise characterization of cell-type transcriptomes is pivotal to understanding cellular lineages, deconvolution of bulk transcriptomes, and clinical applications. Single-cell RNA sequencing resources like the Human Cell Atlas have revolutionised cell-type profiling. However, challenges persist due to data heterogeneity and discrepancies across different studies. One limitation of prevailing tools such as CIBERSORTx is their inability to address hierarchical data structures and handle nonoverlapping gene sets across samples, relying on filtering or imputation. RESULTS Here, we present cellsig, a Bayesian sparse multilevel model designed to improve signature estimation by adjusting data for multilevel effects and modelling for gene-set sparsity. Our model is tailored to large-scale, heterogeneous pseudobulk and bulk RNA sequencing data collections with nonoverlapping gene sets. We tested the performances of cellsig on a novel curated Human Bulk Cell-type Catalogue, which harmonizes 1435 samples across 58 datasets. We show that cellsig significantly enhances cell-type marker gene ranking performance. This approach is valuable for cell-type signature selection, with implications for marker gene validation, single-cell annotation, and deconvolution benchmarks. AVAILABILITY AND IMPLEMENTATION Codes and the interactive app are available at https://github.com/stemangiola/cellsig; and the database is available at https://doi.org/10.5281/zenodo.7582421.
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Affiliation(s)
- Md Abdullah Al Kamran Khan
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
| | - Jian Wu
- Cancer Biology And Therapy, Olivia Newton-John Cancer Research Institute, Heidelberg, VIC 3038, Australia
| | - Yuhan Sun
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
| | - Alexander D Barrow
- Department of Microbiology and Immunology, The University of Melbourne at The Peter Doherty Institute for Infection and Immunity, Parkville, VIC 3010, Australia
| | - Anthony T Papenfuss
- Division of Bioinformatics, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3010, Australia
- Department of Medical Biology, University of Melbourne, Melbourne, VIC 3010, Australia
| | - Stefano Mangiola
- Division of Bioinformatics, The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC 3010, Australia
- Department of Medical Biology, University of Melbourne, Melbourne, VIC 3010, Australia
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Messiaen J, Jacobs SA, De Smet F. The tumor micro-environment in pediatric glioma: friend or foe? Front Immunol 2023; 14:1227126. [PMID: 37901250 PMCID: PMC10611473 DOI: 10.3389/fimmu.2023.1227126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 09/27/2023] [Indexed: 10/31/2023] Open
Abstract
Brain tumors are the leading cause of morbidity and mortality related to cancer in children, where high-grade glioma harbor the worst prognosis. It has become obvious that pediatric glioma differs significantly from their adult counterparts, rendering extrapolations difficult. Curative options for several types of glioma are lacking, albeit ongoing research efforts and clinical trials. As already proven in the past, inter- and intratumoral heterogeneity plays an important role in the resistance to therapy and thus implicates morbidity and mortality for these patients. However, while less studied, the tumor micro-environment (TME) adds another level of heterogeneity. Knowledge gaps exist on how the TME interacts with the tumor cells and how the location of the various cell types in the TME influences tumor growth and the response to treatment. Some studies identified the presence of several (immune) cell types as prognostic factors, but often lack a deeper understanding of the underlying mechanisms, possibly leading to contradictory findings. Although the TME in pediatric glioma is regarded as "cold", several treatment options are emerging, with the TME being the primary target of treatment. Therefore, it is crucial to study the TME of pediatric glioma, so that the interactions between TME, tumoral cells and therapeutics can be better understood before, during and after treatment. In this review, we provide an overview of the available insights into the composition and role of the TME across different types of pediatric glioma. Moreover, where possible, we provide a framework on how a particular TME may influence responses to conventional- and/or immunotherapy.
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Affiliation(s)
- Julie Messiaen
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Sandra A. Jacobs
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Pediatric Oncology, Department of Oncology, KU Leuven, Leuven, Belgium
| | - Frederik De Smet
- Laboratory for Precision Cancer Medicine, Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
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Ando K, Kurashina R, Motoi N, Iizuka T, Inoue M, Maruyama R, Mitani K, Takenobu H, Haruta M, Onuki R, Matsuoka Y, Kamijo T, Kageyama Y. Positive regulatory loop of platelet-derived growth factor DD-induced STAT3 activation is associated with poor prognosis in advanced urothelial carcinoma. Biochem Biophys Res Commun 2023; 676:165-170. [PMID: 37517219 DOI: 10.1016/j.bbrc.2023.07.054] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 07/12/2023] [Accepted: 07/21/2023] [Indexed: 08/01/2023]
Abstract
Immune checkpoint inhibitor (ICI) therapy has been established for patients with advanced urothelial cancer (UC). The necessity of overcoming resistance to ICIs and identifying a predictive factor for the same has been highlighted, such as the assessment of combination therapy with other targeted drugs and the characterization of molecular signatures in the tumor microenvironment. Recently, we reported that low hemoglobin (Hb) levels and a high platelet-to-lymphocyte ratio (PLR) were significantly associated with overall survival in patients with UC who did not benefit from pembrolizumab treatment. In the present study, we identified a possible link between these unfavorable prognostic indicators and PDGF-DD-induced STAT3 activation in UC. Overlapping patients between the high STAT3- or phosphorylated STAT3-positive score group (as assessed by immunohistochemistry) and low Hb levels or high PLR group (as assessed by blood tests) showed significantly worse outcomes after pembrolizumab treatment. Additionally, using the bladder cancer JMSU1 cell line, we demonstrated a possible positive regulatory loop between autocrine/paracrine PDGF-DD and STAT3 signaling. Therefore, we suggest that STAT3 inhibition and PDGF-DD detection in the tumor microenvironment might represent a potential therapeutic strategy to overcome resistance to pembrolizumab. Moreover, this can help identify patients with UC who could benefit from combination treatment.
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Affiliation(s)
- Kiyohiro Ando
- Research Institute for Clinical Oncology, Saitama Cancer Center, 818 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan.
| | - Ryo Kurashina
- Department of Urology, Saitama Cancer Center, 780 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan
| | - Noriko Motoi
- Department of Pathology, Saitama Cancer Center, 780 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan
| | - Toshihiko Iizuka
- Department of Pathology, Saitama Cancer Center, 780 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan
| | - Masaharu Inoue
- Department of Urology, Saitama Cancer Center, 780 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan
| | - Riko Maruyama
- Department of Urology, Saitama Cancer Center, 780 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan
| | - Kouki Mitani
- Department of Urology, Saitama Cancer Center, 780 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan
| | - Hisanori Takenobu
- Research Institute for Clinical Oncology, Saitama Cancer Center, 818 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan
| | - Masayuki Haruta
- Research Institute for Clinical Oncology, Saitama Cancer Center, 818 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan
| | - Ritsuko Onuki
- Research Institute for Clinical Oncology, Saitama Cancer Center, 818 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan
| | - Yoh Matsuoka
- Department of Urology, Saitama Cancer Center, 780 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan
| | - Takehiko Kamijo
- Research Institute for Clinical Oncology, Saitama Cancer Center, 818 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan
| | - Yukio Kageyama
- Department of Urology, Saitama Cancer Center, 780 Komuro, Ina, Kita-adachigun, Saitama, 362-0806, Japan
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9
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Feng Q, Huang Z, Song L, Wang L, Lu H, Wu L. Combining bulk and single-cell RNA-sequencing data to develop an NK cell-related prognostic signature for hepatocellular carcinoma based on an integrated machine learning framework. Eur J Med Res 2023; 28:306. [PMID: 37649103 PMCID: PMC10466881 DOI: 10.1186/s40001-023-01300-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Accepted: 08/18/2023] [Indexed: 09/01/2023] Open
Abstract
BACKGROUND The application of molecular targeting therapy and immunotherapy has notably prolonged the survival of patients with hepatocellular carcinoma (HCC). However, multidrug resistance and high molecular heterogeneity of HCC still prevent the further improvement of clinical benefits. Dysfunction of tumor-infiltrating natural killer (NK) cells was strongly related to HCC progression and survival benefits of HCC patients. Hence, an NK cell-related prognostic signature was built up to predict HCC patients' prognosis and immunotherapeutic response. METHODS NK cell markers were selected from scRNA-Seq data obtained from GSE162616 data set. A consensus machine learning framework including a total of 77 algorithms was developed to establish the gene signature in TCGA-LIHC data set, GSE14520 data set, GSE76427 data set and ICGC-LIRI-JP data set. Moreover, the predictive efficacy on ICI response was externally validated by GSE91061 data set and PRJEB23709 data set. RESULTS With the highest C-index among 77 algorithms, a 11-gene signature was established by the combination of LASSO and CoxBoost algorithm, which classified patients into high- and low-risk group. The prognostic signature displayed a good predictive performance for overall survival rate, moderate to high predictive accuracy and was an independent risk factor for HCC patients' prognosis in TCGA, GEO and ICGC cohorts. Compared with high-risk group, low-risk patients showed higher IPS-PD1 blocker, IPS-CTLA4 blocker, common immune checkpoints expression but lower TIDE score, which indicated low-risk patients might be prone to benefiting from ICI treatment. Moreover, a real-world cohort, PRJEB23709, also revealed better immunotherapeutic response in low-risk group. CONCLUSIONS Overall, the present study developed a gene signature based on NK cell-related genes, which offered a novel platform for prognosis and immunotherapeutic response evaluation of HCC patients.
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Affiliation(s)
- Qian Feng
- Department of Emergency, The Second Affiliated Hospital of Nanchang University, Nanchang, 330000, China
| | - Zhihao Huang
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, 1st min de Road, Nanchang, 330000, China
| | - Lei Song
- Department of General Practice, The Second Affiliated Hospital of Nanchang University, Nanchang, 330000, China
| | - Le Wang
- Department of Blood Transfusion, The Second Affiliated Hospital of Nanchang University, Nanchang, 330000, China
| | - Hongcheng Lu
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, 1st min de Road, Nanchang, 330000, China.
| | - Linquan Wu
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, 1st min de Road, Nanchang, 330000, China.
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10
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Sun Y, Khan MAAK, Mangiola S, Barrow AD. IL17RB and IL17REL Expression Are Associated with Improved Prognosis in HPV-Infected Head and Neck Squamous Cell Carcinomas. Pathogens 2023; 12:pathogens12040572. [PMID: 37111458 PMCID: PMC10143491 DOI: 10.3390/pathogens12040572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 03/16/2023] [Accepted: 03/27/2023] [Indexed: 04/29/2023] Open
Abstract
Changes in the cellular secretome are implicated in virus infection, malignancy, and anti-tumor immunity. We analyzed the association between transcriptional signatures (TS) from 24 different immune and stromal cell types on the prognosis of HPV-infected and HPV-free head and neck squamous carcinoma (HNSCC) patients from The Cancer Genome Atlas (TCGA) cohort. We found that HPV-positive HNSCC patients have tumors with elevated immune cell TS and improved prognosis, which was specifically associated with an increased tumor abundance of memory B and activated natural killer (NK) cell TS, compared to HPV-free HNSCC patients. HPV-infected patients upregulated many transcripts encoding secreted factors, such as growth factors, hormones, chemokines and cytokines, and their cognate receptors. Analysis of secretome transcripts and cognate receptors revealed that tumor expression of IL17RB and IL17REL are associated with a higher viral load and memory B and activated NK cell TS, as well as improved prognosis in HPV-infected HNSCC patients. The transcriptional parameters that we describe may be optimized to improve prognosis and risk stratification in the clinic and provide insights into gene and cellular targets that may potentially enhance anti-tumor immunity mediated by NK cells and memory B cells in HPV-infected HNSCC patients.
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Affiliation(s)
- Yuhan Sun
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne 3000, Australia
| | - Md Abdullah Al Kamran Khan
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne 3000, Australia
| | - Stefano Mangiola
- Division of Bioinformatics, Walter and Eliza Hall Institute, Parkville 3052, Australia
- Department of Medical Biology, The University of Melbourne, Melbourne 3010, Australia
| | - Alexander David Barrow
- Department of Microbiology and Immunology, The Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Melbourne 3000, Australia
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11
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Yan C, Wu H, Fang X, He J, Zhu F. Platelet, a key regulator of innate and adaptive immunity. Front Med (Lausanne) 2023; 10:1074878. [PMID: 36968817 PMCID: PMC10038213 DOI: 10.3389/fmed.2023.1074878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 02/14/2023] [Indexed: 03/12/2023] Open
Abstract
Platelets, anucleate blood components, represent the major cell type involved in the regulation of hemostasis and thrombosis. In addition to performing haemostatic roles, platelets can influence both innate and adaptive immune responses. In this review, we summarize the development of platelets and their functions in hemostasis. We also discuss the interactions between platelet products and innate or adaptive immune cells, including neutrophils, monocytes, macrophages, T cells, B cells and dendritic cells. Activated platelets and released molecules regulate the differentiation and function of these cells via platelet-derived receptors or secreting molecules. Platelets have dual effects on nearly all immune cells. Understanding the exact mechanisms underlying these effects will enable further application of platelet transfusion.
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Affiliation(s)
- Cheng Yan
- Department of Blood Transfusion, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Haojie Wu
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xianchun Fang
- Department of Blood Transfusion, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Junji He
- Department of Blood Transfusion, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Feng Zhu
- Department of Blood Transfusion, Nanjing Jiangning Hospital, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
- *Correspondence: Feng Zhu,
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12
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Zhang J, Li W, Xiong Z, Zhu J, Ren X, Wang S, Kuang H, Lin X, Mora A, Li X. PDGF-D-induced immunoproteasome activation and cell-cell interactions. Comput Struct Biotechnol J 2023; 21:2405-2418. [PMID: 37066124 PMCID: PMC10090480 DOI: 10.1016/j.csbj.2023.03.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Revised: 03/26/2023] [Accepted: 03/27/2023] [Indexed: 03/30/2023] Open
Abstract
Platelet-derived growth factor-D (PDGF-D) is abundantly expressed in ocular diseases. Yet, it remains unknown whether and how PDGF-D affects ocular cells or cell-cell interactions in the eye. In this study, using single-cell RNA sequencing (scRNA-seq) and a mouse model of PDGF-D overexpression in retinal pigment epithelial (RPE) cells, we found that PDGF-D overexpression markedly upregulated the key immunoproteasome genes, leading to increased antigen processing/presentation capacity of RPE cells. Also, more than 6.5-fold ligand-receptor pairs were found in the PDGF-D overexpressing RPE-choroid tissues, suggesting markedly increased cell-cell interactions. Moreover, in the PDGF-D-overexpressing tissues, a unique cell population with a transcriptomic profile of both stromal cells and antigen-presenting RPE cells was detected, suggesting PDGF-D-induced epithelial-mesenchymal transition of RPE cells. Importantly, administration of ONX-0914, an immunoproteasome inhibitor, suppressed choroidal neovascularization (CNV) in a mouse CNV model in vivo. Together, we show that overexpression of PDGF-D increased pro-angiogenic immunoproteasome activities, and inhibiting immunoproteasome pathway may have therapeutic value for the treatment of neovascular diseases.
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13
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Martins-Lima C, Chianese U, Benedetti R, Altucci L, Jerónimo C, Correia MP. Tumor microenvironment and epithelial-mesenchymal transition in bladder cancer: Cytokines in the game? Front Mol Biosci 2023; 9:1070383. [PMID: 36699696 PMCID: PMC9868260 DOI: 10.3389/fmolb.2022.1070383] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 11/22/2022] [Indexed: 01/11/2023] Open
Abstract
Bladder cancer (BlCa) is a highly immunogenic cancer. Bacillus Calmette-Guérin (BCG) is the standard treatment for non-muscle invasive bladder cancer (NMIBC) patients and, recently, second-line immunotherapies have arisen to treat metastatic BlCa patients. Understanding the interactions between tumor cells, immune cells and soluble factors in bladder tumor microenvironment (TME) is crucial. Cytokines and chemokines released in the TME have a dual role, since they can exhibit both a pro-inflammatory and anti-inflammatory potential, driving infiltration and inflammation, and also promoting evasion of immune system and pro-tumoral effects. In BlCa disease, 70-80% are non-muscle invasive bladder cancer, while 20-30% are muscle-invasive bladder cancer (MIBC) at the time of diagnosis. However, during the follow up, about half of treated NMIBC patients recur once or more, with 5-25% progressing to muscle-invasive bladder cancer, which represents a significant concern to the clinic. Epithelial-mesenchymal transition (EMT) is one biological process associated with tumor progression. Specific cytokines present in bladder TME have been related with signaling pathways activation and EMT-related molecules regulation. In this review, we summarized the immune landscape in BlCa TME, along with the most relevant cytokines and their putative role in driving EMT processes, tumor progression, invasion, migration and metastasis formation.
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Affiliation(s)
- Cláudia Martins-Lima
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) and Porto Comprehensive Cancer Center (Porto.CCC) Raquel Seruca, Porto, Portugal,Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Ugo Chianese
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Rosaria Benedetti
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Lucia Altucci
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy,BIOGEM, Molecular Biology and Genetics Research Institute, Avellino, Italy,IEOS, Institute of Endocrinology and Oncology, Naples, Italy
| | - Carmen Jerónimo
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) and Porto Comprehensive Cancer Center (Porto.CCC) Raquel Seruca, Porto, Portugal,Department of Pathology and Molecular Immunology at School of Medicine and Biomedical Sciences, University of Porto (ICBAS-UP), Porto, Portugal,*Correspondence: Carmen Jerónimo, , ; Margareta P. Correia,
| | - Margareta P. Correia
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP)/RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) and Porto Comprehensive Cancer Center (Porto.CCC) Raquel Seruca, Porto, Portugal,Department of Pathology and Molecular Immunology at School of Medicine and Biomedical Sciences, University of Porto (ICBAS-UP), Porto, Portugal,*Correspondence: Carmen Jerónimo, , ; Margareta P. Correia,
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14
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Lan Y, Jia Q, Feng M, Zhao P, Zhu M. A novel natural killer cell-related signatures to predict prognosis and chemotherapy response of pancreatic cancer patients. Front Genet 2023; 14:1100020. [PMID: 37035749 PMCID: PMC10076548 DOI: 10.3389/fgene.2023.1100020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 03/13/2023] [Indexed: 04/11/2023] Open
Abstract
Background: Natural killer (NK) cells are involved in monitoring and eliminating cancers. The purpose of this study was to develop a NK cell-related genes (NKGs) in pancreatic cancer (PC) and establish a novel prognostic signature for PC patients. Methods: Omic data were downloaded from The Cancer Genome Atlas Program (TCGA), Gene Expression Omnibus (GEO), International Cancer Genome Consortium (ICGC), and used to generate NKG-based molecular subtypes and construct a prognostic signature of PC. NKGs were downloaded from the ImmPort database. The differences in prognosis, immunotherapy response, and drug sensitivity among subtypes were compared. 12 programmed cell death (PCD) patterns were acquired from previous study. A decision tree and nomogram model were constructed for the prognostic prediction of PC. Results: Thirty-two prognostic NKGs were identified in PC patients, and were used to generate three clusters with distinct characteristics. PCD patterns were more likely to occur at C1 or C3. Four prognostic DEGs, including MET, EMP1, MYEOV, and NGFR, were found among the clusters and applied to construct a risk signature in TCGA dataset, which was successfully validated in PACA-CA and GSE57495 cohorts. The four gene expressions were negatively correlated with methylation level. PC patients were divided into high and low risk groups, which exerts significantly different prognosis, clinicopathological features, immune infiltration, immunotherapy response and drug sensitivity. Age, N stage, and the risk signature were identified as independent factors of PC prognosis. Low group was more easily to happened on PCD. A decision tree and nomogram model were successfully built for the prognosis prediction of PC patients. ROC curves and DCA curves demonstrated the favorable and robust predictive capability of the nomogram model. Conclusion: We characterized NKGs-derived molecular subtypes of PC patients, and established favorable prognostic models for the prediction of PC prognosis, which may serve as a potential tool for prognosis prediction and making personalized treatment in PC.
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Affiliation(s)
- Yongting Lan
- Department of Gastroenterology, Zibo Central Hospital, Zibo, China
| | - Qing Jia
- Department of Gastroenterology, Zibo Central Hospital, Zibo, China
| | - Min Feng
- Department of Gastroenterology, Zibo Central Hospital, Zibo, China
| | - Peiqing Zhao
- Department of Gastroenterology, Zibo Central Hospital, Zibo, China
| | - Min Zhu
- Department of Neonatology, Zibo Maternal and Child Health Hospital, Zibo, China
- *Correspondence: Min Zhu,
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15
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Song P, Li W, Guo L, Ying J, Gao S, He J. Identification and Validation of a Novel Signature Based on NK Cell Marker Genes to Predict Prognosis and Immunotherapy Response in Lung Adenocarcinoma by Integrated Analysis of Single-Cell and Bulk RNA-Sequencing. Front Immunol 2022; 13:850745. [PMID: 35757748 PMCID: PMC9231585 DOI: 10.3389/fimmu.2022.850745] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 04/12/2022] [Indexed: 12/11/2022] Open
Abstract
Natural killer (NK) cells, the effectors of the innate immune system, have a remarkable influence on cancer prognosis and immunotherapy. In this study, a total of 1,816 samples from nine independent cohorts in public datasets were enrolled. We first conducted a comprehensive analysis of single-cell RNA-sequencing data of lung adenocarcinoma (LUAD) from the Gene Expression Omnibus (GEO) database and determined 189 NK cell marker genes. Subsequently, we developed a seven-gene prognostic signature based on NK cell marker genes in the TCGA LUAD cohort, which stratified patients into high-risk and low-risk groups. The predictive power of the signature was well verified in different clinical subgroups and GEO cohorts. With a multivariate analysis, the signature was identified as an independent prognostic factor. Low-risk patients had higher immune cell infiltration states, especially CD8+ T cells and follicular helper T cells. There existed a negative association between inflammatory activities and risk score, and the richness and diversity of the T-cell receptor (TCR) repertoire was higher in the low-risk groups. Importantly, analysis of an independent immunotherapy cohort (IMvigor210) revealed that low-risk patients had better immunotherapy responses and prognosis than high-risk patients. Collectively, our study developed a novel signature based on NK cell marker genes, which had a potent capability to predict the prognosis and immunotherapy response of LUAD patients.
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Affiliation(s)
- Peng Song
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenbin Li
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lei Guo
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianming Ying
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shugeng Gao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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16
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Medjouel Khlifi H, Guia S, Vivier E, Narni-Mancinelli E. Role of the ITAM-Bearing Receptors Expressed by Natural Killer Cells in Cancer. Front Immunol 2022; 13:898745. [PMID: 35757695 PMCID: PMC9231431 DOI: 10.3389/fimmu.2022.898745] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 04/19/2022] [Indexed: 12/22/2022] Open
Abstract
Natural Killer (NK) cells are innate lymphoid cells (ILCs) capable of recognizing and directly killing tumor cells. They also secrete cytokines and chemokines, which participate in the shaping of the adaptive response. NK cells identify tumor cells and are activated through a net positive signal from inhibitory and activating receptors. Several activating NK cell receptors are coupled to adaptor molecules containing an immunoreceptor tyrosine-based activation motif (ITAM). These receptors include CD16 and the natural cytotoxic receptors NKp46, NKp44, NKp30 in humans. The powerful antitumor NK cell response triggered by these activating receptors has made them attractive targets for exploitation in immunotherapy. In this review, we will discuss the different activating receptors associated with ITAM-bearing cell surface receptors expressed on NK cells, their modulations in the tumor context and the various therapeutic tools developed to boost NK cell responses in cancer patients.
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Affiliation(s)
- Hakim Medjouel Khlifi
- Aix-Marseille Université, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'Immunologie de Marseille-Luminy (CIML), Marseille, France
| | - Sophie Guia
- Aix-Marseille Université, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'Immunologie de Marseille-Luminy (CIML), Marseille, France
| | - Eric Vivier
- Aix-Marseille Université, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'Immunologie de Marseille-Luminy (CIML), Marseille, France.,Innate Pharma Research Laboratories, Marseille, France.,APHM, Hôpital de la Timone, Marseille-Immunopôle, Marseille, France
| | - Emilie Narni-Mancinelli
- Aix-Marseille Université, Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM), Centre d'Immunologie de Marseille-Luminy (CIML), Marseille, France
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Wang C, Wan H, Zhang H, Yang B, Huang WK, Sun W. Characterization of Ligand-Receptor Pair in Bladder Cancer Develops a Validated Scoring Model for Prognosis and Treatment Response. Front Cell Dev Biol 2022; 10:915798. [PMID: 35784457 PMCID: PMC9247554 DOI: 10.3389/fcell.2022.915798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 05/18/2022] [Indexed: 11/13/2022] Open
Abstract
The role of ligand-receptor (LR) pairs in disease progression has been explored in bladder cancer. However, the relationship of LR pairs with cancer prognosis and treatment response remains poorly understood. We characterized the LR pair network and identified three distinct molecular subtypes with distinct biologic features based on the TCGA database (n = 406) and validated in GSE13507 (n = 165) and GSE32894 (n = 224). Three subtypes were compared for differences in patient clinical characteristics, genomic, and transcriptomic features. A multivariate Lasso Cox regression model was applied to construct an LR pairs-based scoring model to stratify the prognostic risk of patients. We demonstrated the high LR. score patients had better responses in chemotherapy, while low LR. score patients may benefit from immune checkpoint blockade (ICB). Collectively, we identified three LR pair-related subtypes associated with prognosis. We constructed and validated a LR pairs-based gene signature, which helps to predict prognosis and differentiate the susceptible population to chemotherapy and immunotherapy in patients with bladder cancer. Among the LR pairs significantly related to prognosis, ANAX1−EGFR axis was found to be potential therapeutic target for treatment of bladder cancer.
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Affiliation(s)
- Chuang Wang
- Department of Urology, Guilin People’s Hospital, Guilin, China
| | - Honglei Wan
- Department of Urology, Handan First Hospital, Handan, China
| | - Han Zhang
- Department of Urology, Guilin People’s Hospital, Guilin, China
| | - Bo Yang
- Department of Urology, Guilin People’s Hospital, Guilin, China
| | - Wen-Kuan Huang
- Division of Hematology-Oncology, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan
- *Correspondence: Wen-Kuan Huang, ; Wenguo Sun,
| | - Wenguo Sun
- Department of Urology, The Affiliated Hospital of Guilin Medical University, Guilin, China
- Department of Urology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Wen-Kuan Huang, ; Wenguo Sun,
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18
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An HDAC9-associated immune-related signature predicts bladder cancer prognosis. PLoS One 2022; 17:e0264527. [PMID: 35239708 PMCID: PMC8893690 DOI: 10.1371/journal.pone.0264527] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 02/12/2022] [Indexed: 02/07/2023] Open
Abstract
Background The close relationship between histone deacetylase 9 (HDAC9) and immunity has attracted attention. We constructed an immune signature for HDAC9, a vital epigenetic modification, to predict the survival status and treatment benefits in bladder cancer (BC). Methods An exhaustive analysis of HDAC9 and immunology via the tumor and immune system interaction database (TISIDB) was performed, and an immune prognostic risk signature was developed based on genes enriched in the top five immune-related pathways under high HDAC9 status. Comprehensive analysis of survival curves and Cox regression were used to estimate the effectiveness of the risk signature. The relationship between immunological characteristics and the risk score was evaluated, and the mechanisms were also explored. Results In the TISIDB, HDAC9 was closely related to various immunological characteristics. The risk signature was obtained based on genes related to prognosis enriched in the top five immune-related pathways under high HDAC9 status. The survival rate of the high-risk BC patients was poor. The risk score was closely related to multiple immunological characteristics, drug sensitivity, immunotherapy benefits and biofunctions. Conclusion An immune-related prognostic signature established for HDAC9 expression status could independently predict the prognosis of BC patients. The use of this signature could help clinicians make personalized treatment decisions.
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Zhang W, Zhao Z, Li F. Natural killer cell dysfunction in cancer and new strategies to utilize NK cell potential for cancer immunotherapy. Mol Immunol 2022; 144:58-70. [DOI: 10.1016/j.molimm.2022.02.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 02/11/2022] [Accepted: 02/15/2022] [Indexed: 12/18/2022]
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