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Shi W, Wu W, Wang J, Meng X. Single-cell transcriptomics reveals comprehensive microenvironment and highlights the dysfuntional state of NK cells in endometrioid carcinoma. Medicine (Baltimore) 2024; 103:e37555. [PMID: 38552055 PMCID: PMC10977572 DOI: 10.1097/md.0000000000037555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 02/19/2024] [Indexed: 04/02/2024] Open
Abstract
Endometrioid endometrial cancer (EEC) is one of the most common gynecologic malignancies. The interaction between cancer cells and the cells in the tumor microenvironment (TME) plays a crucial role in determining disease progression and response to treatment. To better understand the diversity in the TME of ECC, we conducted a comprehensive analysis using single-cell RNA sequencing across 21 samples, including 16 ECC and 5 adjacent normal tissues. We primarily focused on tumor-infiltrating natural killer (NK) cells and their cell-cell interactions with other immune cell types. We identified a CD56dim_DNAJB1 NK cells subset, which had low cytotoxic capability and high stress levels, suggesting a dysfunctional state. This subset showed strong interactions with tumor-associated macrophages through several ligand-receptor pairs. Additionally, we observed that tumor-infiltrating LAMP3+ dendritic cells may inhibit CD8+ T cells or attract regulatory T cells to the tumor area. These dendritic cells also had impaired activation effects on NK cells within the TME. Our study provides valuable insights into the role of NK cells in cancer immunity and highlights the potential of targeting specific NK cell subsets for therapeutic purposes.
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Affiliation(s)
- Wenjie Shi
- Department of Medical Technology, Beijing Health Vocational College, Beijing, China
| | - Wuchen Wu
- Neurosurgery Department of Shenzhen University General Hospital, Shenzhen, China
| | - Jing Wang
- Department of Medical Technology, Beijing Health Vocational College, Beijing, China
- Neurosurgery Department of Shenzhen University General Hospital, Shenzhen, China
| | - Xianghong Meng
- Department of Medical Technology, Beijing Health Vocational College, Beijing, China
- Neurosurgery Department of Shenzhen University General Hospital, Shenzhen, China
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Tang F, Li J, Qi L, Liu D, Bo Y, Qin S, Miao Y, Yu K, Hou W, Li J, Peng J, Tian Z, Zhu L, Peng H, Wang D, Zhang Z. A pan-cancer single-cell panorama of human natural killer cells. Cell 2023; 186:4235-4251.e20. [PMID: 37607536 DOI: 10.1016/j.cell.2023.07.034] [Citation(s) in RCA: 36] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 03/28/2023] [Accepted: 07/28/2023] [Indexed: 08/24/2023]
Abstract
Natural killer (NK) cells play indispensable roles in innate immune responses against tumor progression. To depict their phenotypic and functional diversities in the tumor microenvironment, we perform integrative single-cell RNA sequencing analyses on NK cells from 716 patients with cancer, covering 24 cancer types. We observed heterogeneity in NK cell composition in a tumor-type-specific manner. Notably, we have identified a group of tumor-associated NK cells that are enriched in tumors, show impaired anti-tumor functions, and are associated with unfavorable prognosis and resistance to immunotherapy. Specific myeloid cell subpopulations, in particular LAMP3+ dendritic cells, appear to mediate the regulation of NK cell anti-tumor immunity. Our study provides insights into NK-cell-based cancer immunity and highlights potential clinical utilities of NK cell subsets as therapeutic targets.
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Affiliation(s)
- Fei Tang
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Peking University, Beijing 100871, China
| | - Jinhu Li
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Peking University, Beijing 100871, China
| | - Lu Qi
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Peking University, Beijing 100871, China; Changping Laboratory, Beijing 102206, China
| | - Dongfang Liu
- Department of Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China
| | - Yufei Bo
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Peking University, Beijing 100871, China
| | - Shishang Qin
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Peking University, Beijing 100871, China
| | - Yuhui Miao
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Kezhuo Yu
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Peking University, Beijing 100871, China
| | - Wenhong Hou
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Jianan Li
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Peking University, Beijing 100871, China
| | - Jirun Peng
- Department of Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; Ninth School of Clinical Medicine, Peking University, Beijing 100038, China
| | - Zhigang Tian
- The CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230027, China
| | - Linnan Zhu
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Peking University, Beijing 100871, China.
| | - Hui Peng
- The CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Basic Medical Sciences, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230027, China.
| | - Dongfang Wang
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Peking University, Beijing 100871, China.
| | - Zemin Zhang
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, School of Life Sciences, Peking University, Beijing 100871, China; Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China.
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Ma W, Wei S, Long S, Tian EC, McLaughlin B, Jaimes M, Montoya DJ, Viswanath VR, Chien J, Zhang Q, Van Dyke JE, Chen S, Li T. Dynamic evaluation of blood immune cells predictive of response to immune checkpoint inhibitors in NSCLC by multicolor spectrum flow cytometry. Front Immunol 2023; 14:1206631. [PMID: 37638022 PMCID: PMC10449448 DOI: 10.3389/fimmu.2023.1206631] [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: 04/16/2023] [Accepted: 07/20/2023] [Indexed: 08/29/2023] Open
Abstract
Introduction Immune checkpoint inhibitors (ICIs) only benefit a subset of cancer patients, underlining the need for predictive biomarkers for patient selection. Given the limitations of tumor tissue availability, flow cytometry of peripheral blood mononuclear cells (PBMCs) is considered a noninvasive method for immune monitoring. This study explores the use of spectrum flow cytometry, which allows a more comprehensive analysis of a greater number of markers using fewer immune cells, to identify potential blood immune biomarkers and monitor ICI treatment in non-small-cell lung cancer (NSCLC) patients. Methods PBMCs were collected from 14 non-small-cell lung cancer (NSCLC) patients before and after ICI treatment and 4 healthy human donors. Using spectrum flow cytometry, 24 immune cell markers were simultaneously monitored using only 1 million PBMCs. The results were also compared with those from clinical flow cytometry and bulk RNA sequencing analysis. Results Our findings showed that the measurement of CD4+ and CD8+ T cells by spectrum flow cytometry matched well with those by clinical flow cytometry (Pearson R ranging from 0.75 to 0.95) and bulk RNA sequencing analysis (R=0.80, P=1.3 x 10-4). A lower frequency of CD4+ central memory cells before treatment was associated with a longer median progression-free survival (PFS) [Not reached (NR) vs. 5 months; hazard ratio (HR)=8.1, 95% confidence interval (CI) 1.5-42, P=0.01]. A higher frequency of CD4-CD8- double-negative (DN) T cells was associated with a longer PFS (NR vs. 4.45 months; HR=11.1, 95% CI 2.2-55.0, P=0.003). ICIs significantly changed the frequency of cytotoxic CD8+PD1+ T cells, DN T cells, CD16+CD56dim and CD16+CD56- natural killer (NK) cells, and CD14+HLDRhigh and CD11c+HLADR + monocytes. Of these immune cell subtypes, an increase in the frequency of CD16+CD56dim NK cells and CD14+HLADRhigh monocytes after treatment compared to before treatment were associated with a longer PFS (NR vs. 5 months, HR=5.4, 95% CI 1.1-25.7, P=0.03; 7.8 vs. 3.8 months, HR=5.7, 95% CI 169 1.0-31.7, P=0.04), respectively. Conclusion Our preliminary findings suggest that the use of multicolor spectrum flow cytometry helps identify potential blood immune biomarkers for ICI treatment, which warrants further validation.
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Affiliation(s)
- Weijie Ma
- Division of Hematology/Oncology, Department of Internal Medicine, University of California Davis Comprehensive Cancer Center, University of California Davis School of Medicine, Sacramento, CA, United States
- Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Geisel School of Medicine, Dartmouth, NH, United States
| | - Sixi Wei
- Division of Hematology/Oncology, Department of Internal Medicine, University of California Davis Comprehensive Cancer Center, University of California Davis School of Medicine, Sacramento, CA, United States
| | - Siqi Long
- Division of Hematology/Oncology, Department of Internal Medicine, University of California Davis Comprehensive Cancer Center, University of California Davis School of Medicine, Sacramento, CA, United States
| | - Eddie C. Tian
- Division of Hematology/Oncology, Department of Internal Medicine, University of California Davis Comprehensive Cancer Center, University of California Davis School of Medicine, Sacramento, CA, United States
| | - Bridget McLaughlin
- University of California Davis, Flow cytometry Shared Resource, Davis, CA, United States
| | | | - Dennis J. Montoya
- Department of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA, United States
| | - Varun R. Viswanath
- Division of Hematology/Oncology, Department of Internal Medicine, University of California Davis Comprehensive Cancer Center, University of California Davis School of Medicine, Sacramento, CA, United States
| | - Jeremy Chien
- Department of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA, United States
| | - Qianjun Zhang
- Beckman Coulter Life Sciences, San Jose, CA, United States
| | - Jonathan E. Van Dyke
- University of California Davis, Flow cytometry Shared Resource, Davis, CA, United States
| | - Shuai Chen
- Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, Davis, CA, United States
| | - Tianhong Li
- Division of Hematology/Oncology, Department of Internal Medicine, University of California Davis Comprehensive Cancer Center, University of California Davis School of Medicine, Sacramento, CA, United States
- Medical Service, Hematology and Oncology, Veterans Affairs Northern California Health Care System, Mather, CA, United States
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Parodi M, Astigiano S, Carrega P, Pietra G, Vitale C, Damele L, Grottoli M, Guevara Lopez MDLL, Ferracini R, Bertolini G, Roato I, Vitale M, Orecchia P. Murine models to study human NK cells in human solid tumors. Front Immunol 2023; 14:1209237. [PMID: 37388731 PMCID: PMC10301748 DOI: 10.3389/fimmu.2023.1209237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2023] [Accepted: 06/02/2023] [Indexed: 07/01/2023] Open
Abstract
Since the first studies, the mouse models have provided crucial support for the most important discoveries on NK cells, on their development, function, and circulation within normal and tumor tissues. Murine tumor models were initially set to study murine NK cells, then, ever more sophisticated human-in-mice models have been developed to investigate the behavior of human NK cells and minimize the interferences from the murine environment. This review presents an overview of the models that have been used along time to study NK cells, focusing on the most popular NOG and NSG models, which work as recipients for the preparation of human-in-mice tumor models, the study of transferred human NK cells, and the evaluation of various enhancers of human NK cell function, including cytokines and chimeric molecules. Finally, an overview of the next generation humanized mice is also provided along with a discussion on how traditional and innovative in-vivo and in-vitro approaches could be integrated to optimize effective pre-clinical studies.
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Affiliation(s)
- Monica Parodi
- Unità Operativa UO Patologia e Immunologia Sperimentale, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Simonetta Astigiano
- Animal Facility, IRCCS Ospedale Policlinico San Martino Genova, Genova, Italy
| | - Paolo Carrega
- Laboratory of Immunology and Biotherapy, Department of Human Pathology, University of Messina, Messina, Italy
| | - Gabriella Pietra
- Unità Operativa UO Patologia e Immunologia Sperimentale, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Dipartimento di Medicina Sperimentale, Università di Genova, Genova, Italy
| | - Chiara Vitale
- Unità Operativa UO Patologia e Immunologia Sperimentale, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Dipartimento di Medicina Sperimentale, Università di Genova, Genova, Italy
| | - Laura Damele
- Unità Operativa UO Patologia e Immunologia Sperimentale, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Melania Grottoli
- Dipartimento di Medicina Sperimentale, Università di Genova, Genova, Italy
| | | | - Riccardo Ferracini
- Department of Surgical Sciences, Bone and Dental Bioengineering Laboratory, C.I.R Dental School, University of Turin, Turin, Italy
- Department of Surgical Sciences (DISC), University of Genoa, Genoa, Italy
| | - Giulia Bertolini
- “Epigenomics and Biomarkers of Solid Tumors”, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Ilaria Roato
- Department of Surgical Sciences, Bone and Dental Bioengineering Laboratory, C.I.R Dental School, University of Turin, Turin, Italy
| | - Massimo Vitale
- Unità Operativa UO Patologia e Immunologia Sperimentale, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Paola Orecchia
- Unità Operativa UO Patologia e Immunologia Sperimentale, IRCCS Ospedale Policlinico San Martino, Genova, Italy
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Liu Y, Wu W, Cai C, Zhang H, Shen H, Han Y. Patient-derived xenograft models in cancer therapy: technologies and applications. Signal Transduct Target Ther 2023; 8:160. [PMID: 37045827 PMCID: PMC10097874 DOI: 10.1038/s41392-023-01419-2] [Citation(s) in RCA: 46] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/21/2023] [Indexed: 04/14/2023] Open
Abstract
Patient-derived xenograft (PDX) models, in which tumor tissues from patients are implanted into immunocompromised or humanized mice, have shown superiority in recapitulating the characteristics of cancer, such as the spatial structure of cancer and the intratumor heterogeneity of cancer. Moreover, PDX models retain the genomic features of patients across different stages, subtypes, and diversified treatment backgrounds. Optimized PDX engraftment procedures and modern technologies such as multi-omics and deep learning have enabled a more comprehensive depiction of the PDX molecular landscape and boosted the utilization of PDX models. These irreplaceable advantages make PDX models an ideal choice in cancer treatment studies, such as preclinical trials of novel drugs, validating novel drug combinations, screening drug-sensitive patients, and exploring drug resistance mechanisms. In this review, we gave an overview of the history of PDX models and the process of PDX model establishment. Subsequently, the review presents the strengths and weaknesses of PDX models and highlights the integration of novel technologies in PDX model research. Finally, we delineated the broad application of PDX models in chemotherapy, targeted therapy, immunotherapy, and other novel therapies.
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Affiliation(s)
- Yihan Liu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China
| | - Wantao Wu
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China
| | - Changjing Cai
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China
| | - Hao Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Hong Shen
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
| | - Ying Han
- Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
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Aviles-Padilla K, Angelo LS, Fan D, Paust S. CXCR6 + and NKG2C + Natural Killer Cells Are Distinct With Unique Phenotypic and Functional Attributes Following Bone Marrow Transplantation. Front Immunol 2022; 13:886835. [PMID: 35844621 PMCID: PMC9277058 DOI: 10.3389/fimmu.2022.886835] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/03/2022] [Indexed: 01/07/2023] Open
Abstract
Reactivation of human cytomegalovirus (HCMV) is a life-threatening complication in transplant patients. Natural Killer (NK) cells are the first lymphocyte lineage to reconstitute following an allogeneic hematopoietic stem cell transplant (HSCT). Amongst them, NK cell Group 2 isoform C/Killer cell lectin-like receptor subfamily C, member 2 (NKG2C)-expressing NK cells contribute significantly to patient protection upon HCMV reactivation. NKG2C+ NK cells are capable of immunological memory, albeit NK cell memory is not restricted to them. Hepatic C-X-C Motif Chemokine Receptor 6 (CXCR6)-expressing NK cells also mediate memory responses in mice and humans. Small numbers of them circulate and can thus be studied in peripheral blood samples. We hypothesize that NKG2C+ and CXCR6+ NK cell subsets are distinct. To test our hypothesis, we used multi-parametric flow cytometry to determine the phenotypes and effector functions of CD56bright vs. CD56dim and NKG2C+ vs. CXCR6+ human NK cell subsets in the peripheral blood (PB) of pediatric transplant recipients monthly while monitoring patients for HCMV reactivation. Interestingly, we did not find any NKG2C+CXCR6+ NK cells in the transplant recipients' peripheral blood, suggesting that NKG2C+ and CXCR6+ NK cells are distinct. Also, NKG2C-CXCR6- NK cells, rather than NKG2C+ NK cells, made up most NK cells post-transplant, even in transplant recipients with HCMV viremia. In contrast to NKG2C+ NK cells, CXCR6+ NK cells appeared phenotypically less differentiated but were highly proliferative and produced IFN-γ and TNF α . Our findings contribute to our understanding of post-transplant NK cell development and its implications for human health.
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Affiliation(s)
- Kevin Aviles-Padilla
- Center for Human Immunobiology, Department of Pediatrics, Texas Children’s Hospital, Houston, TX, United States
| | - Laura S. Angelo
- Center for Human Immunobiology, Department of Pediatrics, Texas Children’s Hospital, Houston, TX, United States
| | - Dwight Fan
- Center for Human Immunobiology, Department of Pediatrics, Texas Children’s Hospital, Houston, TX, United States,The Developing Investigative Scholar’s Program (DISP), Center for Human Immunobiology, Department of Pediatrics, Texas Children’s Hospital and Rice University, Houston, TX, United States
| | - Silke Paust
- Center for Human Immunobiology, Department of Pediatrics, Texas Children’s Hospital, Houston, TX, United States,The Developing Investigative Scholar’s Program (DISP), Center for Human Immunobiology, Department of Pediatrics, Texas Children’s Hospital and Rice University, Houston, TX, United States,Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA, United States,*Correspondence: Silke Paust,
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Ma Q, Chen Y, Qin Q, Guo F, Wang YS, Li D. CXCL13 expression in mouse 4T1 breast cancer microenvironment elicits antitumor immune response by regulating immune cell infiltration. PRECISION CLINICAL MEDICINE 2021; 4:155-167. [PMID: 35693216 PMCID: PMC8982548 DOI: 10.1093/pcmedi/pbab020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Revised: 07/14/2021] [Accepted: 07/29/2021] [Indexed: 02/05/2023] Open
Abstract
Breast cancer is the most commonly diagnosed cancer type and the leading cause of cancer-related deaths among women worldwide. Previous studies have reported contradictory performance of chemokine CXC motif ligand 13 (CXCL13) in breast cancer. In this study, The Cancer Genome Atlas database analysis revealed that CXCL13 was overexpressed in various human cancers including breast carcinoma, and associated with good clinical prognosis in breast cancer. Flow cytometry detection also found upregulated intracellular CXCL13 expression in human breast cancer cell lines. To explore the possible role of CXCL13 in the breast cancer microenvironment, mouse triple negative breast cancer (TNBC) was lentivirally transfected to stably overexpress mouse CXCL13 (4T1-CXCL13). Both parental 4T1 and 4T1-CXCL13 strains showed no in vitro or in vivo endogenous cell surface CXCR5 expression. In immune-competent BALB/c mice, the in vivo tumor growth of 4T1-CXCL13 was significantly inhibited and even completely eradicated, accompanied with increased infiltrations of CD4+, CD8+ T lymphocytes and CD11b+CD11c+ DCs. Further investigations showed that CXCL13 expression in the 4T1 tumor microenvironment elicited long-term antitumor immune memory, and rejection of distal parental tumor. The antitumor activity of CXCL13 was remarkedly impaired in BALB/cA-nu nude mice, or in BALB/c mice with CD8+ T lymphocyte or NK cell depletion. Our investigation indicated that CXCL13 expression in TNBC triggered effective antitumor immunity by chemoattracting immune cell infiltrations and could be considered as a novel prognostic marker for TNBC.
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Affiliation(s)
- Qizhi Ma
- Department of Thoracic Oncology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yue Chen
- Department of Thoracic Oncology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Qing Qin
- Department of Thoracic Oncology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Fuchun Guo
- Institute of Drug Clinical Trial, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Yong-sheng Wang
- Institute of Drug Clinical Trial, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Dan Li
- Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, and Precision Medicine Center, Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, China
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