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Ding Y, Ye Z, Ding B, Feng S, Du F, Ma X, Wang X, Shen Y. CXCL13 shapes tumor immune microenvironment in ovarian cancer with homologous recombination deficiency. Genes Dis 2024; 11:101200. [PMID: 38868578 PMCID: PMC11167236 DOI: 10.1016/j.gendis.2023.101200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 11/09/2023] [Accepted: 11/13/2023] [Indexed: 06/14/2024] Open
Affiliation(s)
- Yue Ding
- Department of Obstetrics and Gynaecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210008, China
| | - Zheng Ye
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu 210096, China
| | - Bo Ding
- Department of Obstetrics and Gynaecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210008, China
| | - Songwei Feng
- Department of Obstetrics and Gynaecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210008, China
| | - Furong Du
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, Jiangsu 210042, China
| | - Xuejiao Ma
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, Jiangsu 210042, China
| | - Xiaoxuan Wang
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, Jiangsu 210042, China
| | - Yang Shen
- Department of Obstetrics and Gynaecology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu 210008, China
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2
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Ding Y, Ye Z, Ding B, Feng S, Zhang Y, Shen Y. Identification of CXCL13 as a Promising Biomarker for Immune Checkpoint Blockade Therapy and PARP Inhibitor Therapy in Ovarian Cancer. Mol Biotechnol 2024:10.1007/s12033-024-01207-5. [PMID: 38856873 DOI: 10.1007/s12033-024-01207-5] [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: 02/13/2024] [Accepted: 05/27/2024] [Indexed: 06/11/2024]
Abstract
Ovarian cancer has poor response rates to immune checkpoint blockade (ICB) therapy, despite the use of genomic sequencing to identify molecular targets. Homologous recombination deficiency (HRD) is a conventional indicator of genomic instability (GI) and has been used as a marker for targeted therapies. Indicators reflecting HRD status have shown potential in predicting the efficacy of ICB treatment. Public databases, including TCGA, ICGC, and GEO, were used to obtain data. HRD scores, neoantigen load, and TMB were obtained from the TCGA cohort. Candidate biomarkers were validated in multiple databases, such as the Imvigor210 immunotherapy cohort and the open-source single-cell sequencing database. Immunohistochemistry was performed to further validate the results in independent cohorts. CXCL10, CXCL11, and CXCL13 were found to be significantly upregulated in HRD tumors and exhibited prognostic value. A comprehensive analysis of the tumor immune microenvironment (TIME) revealed that CXCL13 expression positively correlated with neoantigen load and immune cell infiltration. In addition, single-cell sequencing data and clinical trial results supported the utility of CXCL13 as a biomarker for ICB therapy. Not only does CXCL13 serve as a biomarker reflecting HRD status, but it also introduces a potentially novel perspective on prognostic biomarkers for ICB in ovarian cancer.
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Affiliation(s)
- Yue Ding
- Department of Obstetrics and Gynaecology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Zheng Ye
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China
| | - Bo Ding
- Department of Obstetrics and Gynaecology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Songwei Feng
- Department of Obstetrics and Gynaecology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China
| | - Yang Zhang
- Department of Obstetrics and Gynecology, First People's Hospital of Lianyungang, No. 6 East Zhenhua Road, Haizhou, Lianyungang, China.
| | - Yang Shen
- Department of Obstetrics and Gynaecology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China.
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3
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Niu L, Chen T, Yang A, Yan X, Jin F, Zheng A, Song X. Macrophages and tertiary lymphoid structures as indicators of prognosis and therapeutic response in cancer patients. Biochim Biophys Acta Rev Cancer 2024; 1879:189125. [PMID: 38851437 DOI: 10.1016/j.bbcan.2024.189125] [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: 02/20/2024] [Revised: 05/24/2024] [Accepted: 06/02/2024] [Indexed: 06/10/2024]
Abstract
Tertiary lymphoid structures (TLS) can reflect cancer prognosis and clinical outcomes in various tumour tissues. Tumour-associated macrophages (TAMs) are indispensable components of the tumour microenvironment and play crucial roles in tumour development and immunotherapy. TAMs are associated with TLS induction via the modulation of the T cell response, which is a major component of the TLS. Despite their important roles in cancer immunology, the subtypes of TAMs that influence TLS and their correlation with prognosis are not completely understood. Here, we provide novel insights into the role of TAMs in regulating TLS formation. Furthermore, we discuss the prognostic value of these TAM subtypes and TLS, as well as the current antitumour therapies for inducing TLS. This study highlights an entirely new field of TLS regulation that may lead to the development of an innovative perspective on immunotherapy for cancer treatment.
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Affiliation(s)
- Li Niu
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China
| | - Ting Chen
- Department of Orthopedics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Aodan Yang
- Department of Breast Surgery, the First Hospital of China Medical University, Shenyang, China
| | - Xiwen Yan
- Department of Breast Surgery, the First Hospital of China Medical University, Shenyang, China
| | - Feng Jin
- Department of Breast Surgery, the First Hospital of China Medical University, Shenyang, China
| | - Ang Zheng
- Department of Breast Surgery, the First Hospital of China Medical University, Shenyang, China.
| | - Xinyue Song
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
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4
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Li R, Tong R, Zhang JL, Zhang Z, Deng M, Hou G. Comprehensive molecular analyses of cuproptosis-related genes with regard to prognosis, immune landscape, and response to immune checkpoint blockers in lung adenocarcinoma. J Cancer Res Clin Oncol 2024; 150:246. [PMID: 38722401 PMCID: PMC11081990 DOI: 10.1007/s00432-024-05774-7] [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: 03/16/2024] [Accepted: 05/02/2024] [Indexed: 05/12/2024]
Abstract
BACKGROUND Recent studies have emphasized the importance of the biological processes of different forms of cell death in tumor heterogeneity and anti-tumor immunity. Nonetheless, the relationship between cuproptosis and lung adenocarcinoma (LUAD) remains largely unexplored. METHODS Data for 793 LUAD samples and 59 normal lung tissues obtained from TCGA-LUAD cohort GEO datasets were used in this study. A total of 165 LUAD tissue samples and paired normal lung tissue samples obtained from our hospital were used to verify the prognostic value of dihydrolipoamide S-acetyltransferase (DLAT) and dihydrolipoamide branched chain transacylase E2 (DBT) for LUAD. The cuproptosis-related molecular patterns of LUAD were identified using consensus molecular clustering. Recursive feature elimination with random forest and a tenfold cross-validation method was applied to construct the cuproptosis score (CPS) for LUAD. RESULTS Bioinformatic and immunohistochemistry (IHC) analyses revealed that 13 core genes of cuproptosis were all significantly elevated in LUAD tissues, among which DBT and DLAT were associated with poor prognosis (DLAT, HR = 6.103; DBT, HR = 4.985). Based on the expression pattern of the 13 genes, two distinct cuproptosis-related patterns have been observed in LUAD: cluster 2 which has a relatively higher level of cuproptosis was characterized by immunological ignorance; conversely, cluster 1 which has a relatively lower level of cuproptosis is characterized by TILs infiltration and anti-tumor response. Finally, a scoring scheme termed the CPS was established to quantify the cuproptosis-related pattern and predict the prognosis and the response to immune checkpoint blockers of each individual patient with LUAD. CONCLUSION Cuproptosis was found to influence tumor microenvironment (TME) characteristics and heterogeneity in LUAD. Patients with a lower CPS had a relatively better prognosis, more abundant immune infiltration in the TME, and an enhanced response to immune checkpoint inhibitors.
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Affiliation(s)
- Ruixia Li
- Department of Pulmonary and Critical Care Medicine, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Run Tong
- National Center for Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- National Clinical Research Center for Respiratory Diseases, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China
- State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China
| | - Jasmine Lin Zhang
- American International School, Hong Kong, People's Republic of China
| | - Zhe Zhang
- Department of Pathology, Shengjing Hospital of China Medical University, Shenyang, People's Republic of China
| | - Mingming Deng
- National Center for Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- National Clinical Research Center for Respiratory Diseases, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China
- State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China
| | - Gang Hou
- National Center for Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
- National Clinical Research Center for Respiratory Diseases, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, People's Republic of China.
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, People's Republic of China.
- State Key Laboratory of Respiratory Health and Multimorbidity, Beijing, People's Republic of China.
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5
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Li X, Xu H, Du Z, Cao Q, Liu X. Advances in the study of tertiary lymphoid structures in the immunotherapy of breast cancer. Front Oncol 2024; 14:1382701. [PMID: 38628669 PMCID: PMC11018917 DOI: 10.3389/fonc.2024.1382701] [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: 02/13/2024] [Accepted: 03/18/2024] [Indexed: 04/19/2024] Open
Abstract
Breast cancer, as one of the most common malignancies in women, exhibits complex and heterogeneous pathological characteristics across different subtypes. Triple-negative breast cancer (TNBC) and HER2-positive breast cancer are two common and highly invasive subtypes within breast cancer. The stability of the breast microbiota is closely intertwined with the immune environment, and immunotherapy is a common approach for treating breast cancer.Tertiary lymphoid structures (TLSs), recently discovered immune cell aggregates surrounding breast cancer, resemble secondary lymphoid organs (SLOs) and are associated with the prognosis and survival of some breast cancer patients, offering new avenues for immunotherapy. Machine learning, as a form of artificial intelligence, has increasingly been used for detecting biomarkers and constructing tumor prognosis models. This article systematically reviews the latest research progress on TLSs in breast cancer and the application of machine learning in the detection of TLSs and the study of breast cancer prognosis. The insights provided contribute valuable perspectives for further exploring the biological differences among different subtypes of breast cancer and formulating personalized treatment strategies.
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Affiliation(s)
- Xin Li
- The First Clinical School of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Han Xu
- Innovation Research Institute of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Ziwei Du
- The First Clinical School of Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Qiang Cao
- Department of Earth Sciences, Kunming University of Science and Technology, Kunming, China
| | - Xiaofei Liu
- Department of Breast and Thyroid Surgery, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China
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6
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Ding Y, Zhou Q, Ding B, Zhang Y, Shen Y. Transcriptome analysis reveals the clinical significance of CXCL13 in Pan-Gyn tumors. J Cancer Res Clin Oncol 2024; 150:116. [PMID: 38459390 PMCID: PMC10923744 DOI: 10.1007/s00432-024-05619-3] [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: 12/02/2023] [Accepted: 01/09/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND Gynecologic and breast tumors (Pan-Gyn) exhibit similar characteristics, and the role of CXCL13 in anti-tumor immunity and it's potential as a biomarker for immune checkpoint blockade (ICB) therapy have been gradually revealed. However, the precise role of CXCL13 in Pan-Gyn remains unclear, lacking a systematic analysis. METHODS We analyzed 2497 Pan-Gyn samples from the TCGA database, categorizing them into high and low CXCL13 expression groups. Validation was conducted using tumor expression datasets sourced from the GEO database. Correlation between CXCL13 and tumor immune microenvironment (TIME) was evaluated using multiple algorithms. Finally, we established nomograms for 3-year and 5-year mortality. RESULTS High expression of CXCL13 in Pan-Gyn correlates with a favorable clinical prognosis, increased immune cell infiltration, and reduced intra-tumor heterogeneity. Model was assessed using the C-index [BRCA: 0.763 (0.732-0.794), UCEC: 0.821 (0.793-0.849), CESC: 0.736 (0.684-0.788), and OV: 0.728 (0.707-0.749)], showing decent prediction of discrimination and calibration. CONCLUSION Overall, this study provides comprehensive insights into the commonalities and differences of CXCL13 in Pan-Gyn, potentially opening new avenues for personalized treatment.
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Affiliation(s)
- Yue Ding
- Zhongda Hospital Southeast University, Nanjing, China
| | - Quan Zhou
- Zhongda Hospital Southeast University, Nanjing, China
| | - Bo Ding
- Zhongda Hospital Southeast University, Nanjing, China
| | - Yang Zhang
- Department of Obstetrics and Gynecology, First People's Hospital of Lianyungang, No. 6 East Zhenhua Road, Haizhou, Lianyungang, China
| | - Yang Shen
- Zhongda Hospital Southeast University, Nanjing, China.
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7
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Giacobbi NS, Mullapudi S, Nabors H, Pyeon D. The Chemokine CXCL14 as a Potential Immunotherapeutic Agent for Cancer Therapy. Viruses 2024; 16:302. [PMID: 38400076 PMCID: PMC10892169 DOI: 10.3390/v16020302] [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: 01/08/2024] [Revised: 02/03/2024] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
There is great enthusiasm toward the development of novel immunotherapies for the treatment of cancer, and given their roles in immune system regulation, chemokines stand out as promising candidates for use in new cancer therapies. Many previous studies have shown how chemokine signaling pathways could be targeted to halt cancer progression. We and others have revealed that the chemokine CXCL14 promotes antitumor immune responses, suggesting that CXCL14 may be effective for cancer immunotherapy. However, it is still unknown what mechanism governs CXCL14-mediated antitumor activity, how to deliver CXCL14, what dose to apply, and what combinations with existing therapy may boost antitumor immune responses in cancer patients. Here, we provide updates on the role of CXCL14 in cancer progression and discuss the potential development and application of CXCL14 as an immunotherapeutic agent.
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Affiliation(s)
| | | | | | - Dohun Pyeon
- Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI 48824, USA; (N.S.G.); (S.M.); (H.N.)
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8
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Guo Q, Pan K, Qiu P, Liu Z, Chen J, Lin J. Identification of an exosome-related signature associated with prognosis and immune infiltration in breast cancer. Sci Rep 2023; 13:18198. [PMID: 37875600 PMCID: PMC10598067 DOI: 10.1038/s41598-023-45325-7] [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: 07/08/2023] [Accepted: 10/18/2023] [Indexed: 10/26/2023] Open
Abstract
Exosomes, nanosized vesicles, play a vital role in breast cancer (BC) occurrence, development, and drug resistance. Hence, we proceeded to study the potential prognostic value of exosome-related genes and their relationship to the immune microenvironment in BC. 121 exosome-related genes were provided by the ExoBCD database, and 7 final genes were selected to construct the prognostic signature. Besides, the expression levels of the 7 exosome-related genes were validated by the experiment in BC cell lines. Based on the signature, BC patients from the training and validation cohorts were separated into low- and high-risk groups. Subsequently, the R clusterProfiler package was applied to identify the distinct enrichment pathways between high-risk groups and low-risk groups. The relevance of the tumor immune microenvironment and exosome-related gene risk score were analyzed in BC. Eventually, the different expression levels of immune checkpoint-related genes were compared between the two risk groups. Based on the risk model, the low-risk groups were identified with a higher survival rate both in the training and validation cohorts. A better overall survival was revealed in patients with higher scores evaluated by the estimation of stromal and immune cells in malignant tumor tissues using expression (ESTIMATE) algorithm. Subsequently, BC patients with lower risk scores were indicated by higher expression levels of some immune checkpoint-related genes and immune cell infiltration. Exosomes are closely associated with the prognosis and immune cell infiltration of BC. These findings may contribute to improving immunotherapy and provide a new vision for BC treatment strategies.
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Affiliation(s)
- Qiaonan Guo
- Department of Breast and Thyroid Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Kelun Pan
- Department of Breast and Thyroid Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Pengjun Qiu
- Department of Breast and Thyroid Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Zundong Liu
- Stem Cell Laboratory, Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Jianpeng Chen
- Department of Breast and Thyroid Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China
| | - Jianqing Lin
- Department of Breast and Thyroid Surgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
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Yadav M, Uikey BN, Rathore SS, Gupta P, Kashyap D, Kumar C, Shukla D, Vijayamahantesh, Chandel AS, Ahirwar B, Singh AK, Suman SS, Priyadarshi A, Amit A. Role of cytokine in malignant T-cell metabolism and subsequent alternation in T-cell tumor microenvironment. Front Oncol 2023; 13:1235711. [PMID: 37746258 PMCID: PMC10513393 DOI: 10.3389/fonc.2023.1235711] [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: 06/06/2023] [Accepted: 08/14/2023] [Indexed: 09/26/2023] Open
Abstract
T cells are an important component of adaptive immunity and T-cell-derived lymphomas are very complex due to many functional sub-types and functional elasticity of T-cells. As with other tumors, tissues specific factors are crucial in the development of T-cell lymphomas. In addition to neoplastic cells, T- cell lymphomas consist of a tumor micro-environment composed of normal cells and stroma. Numerous studies established the qualitative and quantitative differences between the tumor microenvironment and normal cell surroundings. Interaction between the various component of the tumor microenvironment is crucial since tumor cells can change the microenvironment and vice versa. In normal T-cell development, T-cells must respond to various stimulants deferentially and during these courses of adaptation. T-cells undergo various metabolic alterations. From the stage of quiescence to attention of fully active form T-cells undergoes various stage in terms of metabolic activity. Predominantly quiescent T-cells have ATP-generating metabolism while during the proliferative stage, their metabolism tilted towards the growth-promoting pathways. In addition to this, a functionally different subset of T-cells requires to activate the different metabolic pathways, and consequently, this regulation of the metabolic pathway control activation and function of T-cells. So, it is obvious that dynamic, and well-regulated metabolic pathways are important for the normal functioning of T-cells and their interaction with the microenvironment. There are various cell signaling mechanisms of metabolism are involved in this regulation and more and more studies have suggested the involvement of additional signaling in the development of the overall metabolic phenotype of T cells. These important signaling mediators include cytokines and hormones. The impact and role of these mediators especially the cytokines on the interplay between T-cell metabolism and the interaction of T-cells with their micro-environments in the context of T-cells lymphomas are discussed in this review article.
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Affiliation(s)
- Megha Yadav
- Department of Forensic Science, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Blessi N. Uikey
- Department of Forensic Science, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | | | - Priyanka Gupta
- Department of Forensic Science, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Diksha Kashyap
- Department of Forensic Science, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Chanchal Kumar
- Department of Forensic Science, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Dhananjay Shukla
- Department of Biotechnology, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | - Vijayamahantesh
- Department of Immunology and Microbiology, University of Missouri, Columbia, SC, United States
| | - Arvind Singh Chandel
- Center for Disease Biology and Integrative Medicine, Faculty of Medicine, The University of Tokyo, Bunkyo, Japan
| | - Bharti Ahirwar
- Department of Pharmacy, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
| | | | - Shashi Shekhar Suman
- Department of Zoology, Udayana Charya (UR) College, Lalit Narayan Mithila University, Darbhanga, India
| | - Amit Priyadarshi
- Department of Zoology, Veer Kunwar Singh University, Arrah, India
| | - Ajay Amit
- Department of Forensic Science, Guru Ghasidas Vishwavidyalaya, Bilaspur, India
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10
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Qu S, Huang C, Zhu T, Wang K, Zhang H, Wang L, Xu R, Zheng H, Yuan X, Liu G, Zhu R, Qu J, Yi G, Qi S. OLFML3, as a potential predictor of prognosis and therapeutic target for glioma, is closely related to immune cell infiltration. VIEW 2023. [DOI: 10.1002/viw.20220052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Affiliation(s)
- Shanqiang Qu
- Department of Neurosurgery Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
- The Laboratory for Precision Neurosurgery Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
| | - Chengying Huang
- Department of Obstetrics and Gynecology Baiyun Branch, Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
| | - Taichen Zhu
- The First Clinical Medical College of Southern Medical University Guangzhou Guangdong People's Republic of China
| | - Kaicheng Wang
- The First Clinical Medical College of Southern Medical University Guangzhou Guangdong People's Republic of China
| | - Huayang Zhang
- Department of Neurosurgery Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
- The Laboratory for Precision Neurosurgery Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
| | - Luyao Wang
- The First Clinical Medical College of Southern Medical University Guangzhou Guangdong People's Republic of China
| | - Rongyang Xu
- The First Clinical Medical College of Southern Medical University Guangzhou Guangdong People's Republic of China
| | - Haojie Zheng
- Department of Neurosurgery Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
- The Laboratory for Precision Neurosurgery Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
| | - Xi Yuan
- Department of Neurosurgery Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
- The Laboratory for Precision Neurosurgery Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
| | - Guangjie Liu
- Department of Neurosurgery Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
- The Laboratory for Precision Neurosurgery Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
| | - Rongzhang Zhu
- The First Clinical Medical College of Southern Medical University Guangzhou Guangdong People's Republic of China
| | - Jiayi Qu
- Department of Plant Sciences University of California Davis Davis California USA
| | - Guozhong Yi
- Department of Neurosurgery Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
- Nanfang Glioma Center Guangzhou Guangdong People's Republic of China
- Institute of Brain disease Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
| | - Songtao Qi
- Department of Neurosurgery Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
- Nanfang Glioma Center Guangzhou Guangdong People's Republic of China
- Institute of Brain disease Nanfang Hospital Southern Medical University Guangzhou Guangdong People's Republic of China
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11
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Laumont CM, Nelson BH. B cells in the tumor microenvironment: Multi-faceted organizers, regulators, and effectors of anti-tumor immunity. Cancer Cell 2023; 41:466-489. [PMID: 36917951 DOI: 10.1016/j.ccell.2023.02.017] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 02/11/2023] [Accepted: 02/12/2023] [Indexed: 03/14/2023]
Abstract
Our understanding of tumor-infiltrating lymphocytes (TILs) is rapidly expanding beyond T cell-centric perspectives to include B cells and plasma cells, collectively referred to as TIL-Bs. In many cancers, TIL-Bs carry strong prognostic significance and are emerging as key predictors of response to immune checkpoint inhibitors. TIL-Bs can perform multiple functions, including antigen presentation and antibody production, which allow them to focus immune responses on cognate antigen to support both T cell responses and innate mechanisms involving complement, macrophages, and natural killer cells. In the stroma of the most immunologically "hot" tumors, TIL-Bs are prominent components of tertiary lymphoid structures, which resemble lymph nodes structurally and functionally. Additionally, TIL-Bs participate in a variety of other lympho-myeloid aggregates and engage in dynamic interactions with the tumor stroma. Here, we summarize our current understanding of TIL-Bs in human cancer, highlighting the compelling therapeutic opportunities offered by their unique tumor recognition and effector mechanisms.
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Affiliation(s)
- Céline M Laumont
- Deeley Research Centre, BC Cancer, Victoria, BC V8R 6V5, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
| | - Brad H Nelson
- Deeley Research Centre, BC Cancer, Victoria, BC V8R 6V5, Canada; Department of Medical Genetics, University of British Columbia, Vancouver, BC V6T 1Z3, Canada; Department of Biochemistry and Microbiology, University of Victoria, Victoria, BC V8P 3E6, Canada.
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12
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Mao X, Zhou D, Lin K, Zhang B, Gao J, Ling F, Zhu L, Yu S, Chen P, Zhang C, Zhang C, Ye G, Fong S, Chen G, Luo W. Single-cell and spatial transcriptome analyses revealed cell heterogeneity and immune environment alternations in metastatic axillary lymph nodes in breast cancer. Cancer Immunol Immunother 2023; 72:679-695. [PMID: 36040519 DOI: 10.1007/s00262-022-03278-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 08/12/2022] [Indexed: 10/14/2022]
Abstract
BACKGROUND Tumor heterogeneity plays essential roles in developing cancer therapies, including therapies for breast cancer (BC). In addition, it is also very important to understand the relationships between tumor microenvironments and the systematic immune environment. METHODS Here, we performed single-cell, VDJ sequencing and spatial transcriptome analyses on tumor and adjacent normal tissue as well as axillar lymph nodes (LNs) and peripheral blood mononuclear cells (PBMCs) from 8 BC patients. RESULTS We found that myeloid cells exhibited environment-dependent plasticity, where a group of macrophages with both M1 and M2 signatures possessed high tumor specificity spatially and was associated with worse patient survival. Cytotoxic T cells in tumor sites evolved in a separate path from those in the circulatory system. T cell receptor (TCR) repertoires in metastatic LNs showed significant higher consistency with TCRs in tumor than those in nonmetastatic LNs and PBMCs, suggesting the existence of common neo-antigens across metastatic LNs and primary tumor cites. In addition, the immune environment in metastatic LNs had transformed into a tumor-like status, where pro-inflammatory macrophages and exhausted T cells were upregulated, accompanied by a decrease in B cells and neutrophils. Finally, cell interactions showed that cancer-associated fibroblasts (CAFs) contributed most to shaping the immune-suppressive microenvironment, while CD8+ cells were the most signal-responsive cells. CONCLUSIONS This study revealed the cell structures of both micro- and macroenvironments, revealed how different cells diverged in related contexts as well as their prognostic capacities, and displayed a landscape of cell interactions with spatial information.
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Affiliation(s)
- Xiaofan Mao
- Clinical Research Institute, The First People's Hospital of Foshan, Foshan, China.,Medical Engineering Technology Research and development center of Immune Repertoire in Foshan, The First People's Hospital of Foshan, Foshan, China
| | - Dan Zhou
- Department of Breast Surgery, The First People's Hospital of Foshan, Foshan, China
| | - Kairong Lin
- Clinical Research Institute, The First People's Hospital of Foshan, Foshan, China.,Medical Engineering Technology Research and development center of Immune Repertoire in Foshan, The First People's Hospital of Foshan, Foshan, China
| | - Beiying Zhang
- Clinical Research Institute, The First People's Hospital of Foshan, Foshan, China.,Medical Engineering Technology Research and development center of Immune Repertoire in Foshan, The First People's Hospital of Foshan, Foshan, China
| | - Juntao Gao
- MOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic and Systems Biology, BNRist; Department of Automation, Tsinghua University, Beijing, China
| | - Fei Ling
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, China
| | - Lewei Zhu
- Department of Breast Surgery, The First People's Hospital of Foshan, Foshan, China
| | - Sifei Yu
- Clinical Research Institute, The First People's Hospital of Foshan, Foshan, China.,Medical Engineering Technology Research and development center of Immune Repertoire in Foshan, The First People's Hospital of Foshan, Foshan, China
| | - Peixian Chen
- Department of Breast Surgery, The First People's Hospital of Foshan, Foshan, China
| | - Chuling Zhang
- Clinical Research Institute, The First People's Hospital of Foshan, Foshan, China.,Medical Engineering Technology Research and development center of Immune Repertoire in Foshan, The First People's Hospital of Foshan, Foshan, China
| | - Chunguo Zhang
- Clinical Research Institute, The First People's Hospital of Foshan, Foshan, China.,Medical Engineering Technology Research and development center of Immune Repertoire in Foshan, The First People's Hospital of Foshan, Foshan, China
| | - Guolin Ye
- Department of Breast Surgery, The First People's Hospital of Foshan, Foshan, China
| | - Simon Fong
- Department of Computer and Information Science, University of Macau, Macau SAR, China
| | - Guoqiang Chen
- Department of Rheumatology and Immunology, The First People's Hospital of Foshan, Foshan, China.
| | - Wei Luo
- Clinical Research Institute, The First People's Hospital of Foshan, Foshan, China. .,Medical Engineering Technology Research and development center of Immune Repertoire in Foshan, The First People's Hospital of Foshan, Foshan, China.
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13
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Xue S, Su XM, Ke LN, Huang YG. CXCL9 correlates with antitumor immunity and is predictive of a favorable prognosis in uterine corpus endometrial carcinoma. Front Oncol 2023; 13:1077780. [PMID: 36845675 PMCID: PMC9945585 DOI: 10.3389/fonc.2023.1077780] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Accepted: 01/17/2023] [Indexed: 02/11/2023] Open
Abstract
Background The C-X-C motif chemokine ligand-9 (CXCL9) is related to the progression of multiple neoplasms. Yet, its biological functions in uterine corpus endometrioid carcinoma (UCEC) remain shrouded in confusion. Here, we assessed the prognostic significance and potential mechanism of CXCL9 in UCEC. Methods Firstly, bioinformatics analysis of the public cancer database, including the Cancer Genome Atlas / the Genotype-Tissue Expression project (TCGA+ GTEx, n=552) and Gene Expression Omnibus (GEO): GSE63678 (n=7), were utilized for the CXCL9 expression-related analysis in UCEC. Then, the survival analysis of TCGA-UCEC was performed. Futher, the gene set enrichment analysis (GSEA) was carried out to reveal the potential molecular signaling pathway in UCEC associated with CXCL9 expression. Moreover, the immunohistochemistry (IHC) assay of our validation cohort (n=124) from human specimens were used to demonstrate the latent significance of CXCL9 in UCEC. Results The bioinformatics analysis suggested that CXCL9 expression was significantly upregulated in UCEC patients; and hyper-expression of CXCL9 was related to prolonged survival. the GSEA enrichment analysis showed various immune response-related pathways, including T/NK cell, lymphocyte activation, cytokine-cytokine receptor interaction network, and chemokine signaling pathway, mediated by CXCL9. In addition, the cytotoxic molecules (IFNG, SLAMF7, JCHAIN, NKG7, GBP5, LYZ, GZMA, GZMB, and TNF3F9) and the immunosuppressive genes (including PD-L1) were positively related to the expression of CXCL9. Further, the IHC assay indicated that the CXCL9 protein expression was mainly located in intertumoral and significantly upregulated in the UCEC patients; UCEC with high intertumoral CXCL9 cell abundance harbored an improved prognosis; a higher ratio of anti-tumor immune cells (CD4+, CD8+, and CD56+ cell) and PD-L1 was found in UCEC with CXCL9 high expression. Conclusion Overexpressed CXCL9 correlates with antitumor immunity and is predictive of a favorable prognosis in UCEC. It hinted that CXCL9 may serve as an independent prognostic biomarker or therapeutic target in UCEC patients, which augmented anti-tumor immune effects to furnish survival benefits.
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Affiliation(s)
- Shen Xue
- Department of obstetrics and gynecology, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, China
| | - Xiao-min Su
- Department of Immunology, Nankai University School of Medicine, Tianjin, China
| | - Li-na Ke
- Department of obstetrics and gynecology, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, China,*Correspondence: Yu-gang Huang, ; Li-na Ke,
| | - Yu-gang Huang
- Department of Pathology, Taihe Hospital, Hubei University of Medicine, Shiyan, China,*Correspondence: Yu-gang Huang, ; Li-na Ke,
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14
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Tertiary Lymphoid Structures: A Potential Biomarker for Anti-Cancer Therapy. Cancers (Basel) 2022; 14:cancers14235968. [PMID: 36497450 PMCID: PMC9739898 DOI: 10.3390/cancers14235968] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 11/28/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022] Open
Abstract
A tertiary lymphoid structure (TLS) is a special component in the immune microenvironment that is mainly composed of tumor-infiltrating lymphocytes (TILs), including T cells, B cells, DC cells, and high endothelial venules (HEVs). For cancer patients, evaluation of the immune microenvironment has a predictive effect on tumor biological behavior, treatment methods, and prognosis. As a result, TLSs have begun to attract the attention of researchers as a new potential biomarker. However, the composition and mechanisms of TLSs are still unclear, and clinical detection methods are still being explored. Although some meaningful results have been obtained in clinical trials, there is still a long way to go before such methods can be applied in clinical practice. However, we believe that with the continuous progress of basic research and clinical trials, TLS detection and related treatment can benefit more and more patients. In this review, we generalize the definition and composition of TLSs, summarize clinical trials involving TLSs according to treatment methods, and describe possible methods of inducing TLS formation.
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15
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Circulating Protein Biomarkers for Prognostic Use in Patients with Advanced Pancreatic Ductal Adenocarcinoma Undergoing Chemotherapy. Cancers (Basel) 2022; 14:cancers14133250. [PMID: 35805022 PMCID: PMC9264968 DOI: 10.3390/cancers14133250] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 06/25/2022] [Accepted: 06/28/2022] [Indexed: 02/06/2023] Open
Abstract
Patients with advanced pancreatic ductal adenocarcinoma (PDAC) have a dismal prognosis. We aimed to find a prognostic protein signature for overall survival (OS) in patients with advanced PDAC, and to explore whether early changes in circulating-protein levels could predict survival. We investigated 92 proteins using the Olink Immuno-Oncology panel in serum samples from 363 patients with advanced PDAC. Protein panels for several survival cut-offs were developed independently by two bioinformaticians using LASSO and Ridge regression models. Two panels of proteins discriminated patients with OS < 90 days from those with OS > 2 years. Index I (CSF-1, IL-6, PDCD1, TNFRSF12A, TRAIL, TWEAK, and CA19-9) had AUCs of 0.99 (95% CI: 0.98−1) (discovery cohort) and 0.89 (0.74−1) (replication cohort). For Index II (CXCL13, IL-6, PDCD1, and TNFRSF12A), the corresponding AUCs were 0.97 (0.93−1) and 0.82 (0.68−0.96). Four proteins (ANGPT2, IL-6, IL-10, and TNFRSF12A) were associated with survival across all treatment groups. Longitudinal samples revealed several changes, including four proteins that were also part of the prognostic signatures (CSF-1, CXCL13, IL-6, TNFRSF12A). This study identified two circulating-protein indices with the potential to identify patients with advanced PDAC with very short OS and with long OS.
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16
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Laumont CM, Banville AC, Gilardi M, Hollern DP, Nelson BH. Tumour-infiltrating B cells: immunological mechanisms, clinical impact and therapeutic opportunities. Nat Rev Cancer 2022; 22:414-430. [PMID: 35393541 PMCID: PMC9678336 DOI: 10.1038/s41568-022-00466-1] [Citation(s) in RCA: 131] [Impact Index Per Article: 65.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/03/2022] [Indexed: 01/03/2023]
Abstract
Although immunotherapy research to date has focused largely on T cells, there is mounting evidence that tumour-infiltrating B cells and plasma cells (collectively referred to as tumour-infiltrating B lymphocytes (TIL-Bs)) have a crucial, synergistic role in tumour control. In many cancers, TIL-Bs have demonstrated strong predictive and prognostic significance in the context of both standard treatments and immune checkpoint blockade, offering the prospect of new therapeutic opportunities that leverage their unique immunological properties. Drawing insights from autoimmunity, we review the molecular phenotypes, architectural contexts, antigen specificities, effector mechanisms and regulatory pathways relevant to TIL-Bs in human cancer. Although the field is young, the emerging picture is that TIL-Bs promote antitumour immunity through their unique mode of antigen presentation to T cells; their role in assembling and perpetuating immunologically 'hot' tumour microenvironments involving T cells, myeloid cells and natural killer cells; and their potential to combat immune editing and tumour heterogeneity through the easing of self-tolerance mechanisms. We end by discussing the most promising approaches to enhance TIL-B responses in concert with other immune cell subsets to extend the reach, potency and durability of cancer immunotherapy.
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Affiliation(s)
- Céline M Laumont
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Allyson C Banville
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
- Interdisciplinary Oncology Program, University of British Columbia, Vancouver, British Columbia, Canada
| | - Mara Gilardi
- NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute, San Diego, CA, USA
| | - Daniel P Hollern
- NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute, San Diego, CA, USA
| | - Brad H Nelson
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada.
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada.
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17
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Carril-Ajuria L, Desnoyer A, Meylan M, Dalban C, Naigeon M, Cassard L, Vano Y, Rioux-Leclercq N, Chouaib S, Beuselinck B, Chabaud S, Barros-Monteiro J, Bougoüin A, Lacroix G, Colina-Moreno I, Tantot F, Boselli L, De Oliveira C, Fridman WH, Escudier B, Sautes-Fridman C, Albiges L, Chaput-Gras N. Baseline circulating unswitched memory B cells and B-cell related soluble factors are associated with overall survival in patients with clear cell renal cell carcinoma treated with nivolumab within the NIVOREN GETUG-AFU 26 study. J Immunother Cancer 2022; 10:jitc-2022-004885. [PMID: 35640928 PMCID: PMC9157347 DOI: 10.1136/jitc-2022-004885] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/23/2022] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND The phase II NIVOREN GETUG-AFU 26 study reported safety and efficacy of nivolumab in patients with metastatic clear cell renal cell carcinoma (m-ccRCC) in a 'real-world setting'. We conducted a translational-research program to determine whether specific circulating immune-cell populations and/or soluble factors at baseline were predictive of clinical outcomes in patients with m-ccRCC treated with nivolumab within the NIVOREN study. METHODS Absolute numbers of 106 circulating immune-cell populations were prospectively analyzed in patients treated at a single institution within the NIVOREN trial with available fresh-whole-blood, using dry formulation panels for multicolor flow cytometry. In addition, a panel of 14 predefined soluble factors was quantified for each baseline plasma sample using the Meso-Scale-Discovery immunoassay. The remaining patients with available plasma sample were used as a validation cohort for the soluble factor quantification analysis. Tumor immune microenvironment characterization of all patients included in the translational program of the study was available. The association of blood and tissue-based biomarkers, with overall survival (OS), progression-free survival (PFS) and response was analyzed. RESULTS Among the 44 patients, baseline unswitched memory B cells (NSwM B cells) were enriched in responders (p=0.006) and associated with improved OS (HR=0.08, p=0.002) and PFS (HR=0.54, p=0.048). Responders were enriched in circulating T follicular helper (Tfh) (p=0.027) and tertiary lymphoid structures (TLS) (p=0.043). Circulating NSwM B cells positively correlated with Tfh (r=0.70, p<0.001). Circulating NSwM B cells correlated positively with TLS and CD20 +B cells at the tumor center (r=0.59, p=0.044, and r=0.52, p=0.033) and inversely correlated with BCA-1/CXCL13 and BAFF (r=-0.55 and r=-0.42, p<0.001). Tfh cells also inversely correlated with BCA-1/CXCL13 (r=-0.61, p<0.001). IL-6, BCA-1/CXCL13 and BAFF significantly associated with worse OS in the discovery (n=40) and validation cohorts (n=313). CONCLUSION We report the first fresh blood immune-monitoring of patients with m-ccRCC treated with nivolumab. Baseline blood concentration of NSwM B cells was associated to response, PFS and OS in patients with m-ccRCC treated with nivolumab. BCA-1/CXCL13 and BAFF, inversely correlated to NSwM B cells, were both associated with worse OS in discovery and validation cohorts. Our data confirms a role for B cell subsets in the response to immune checkpoint blockade therapy in patients with m-ccRCC. Further studies are needed to confirm these findings.
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Affiliation(s)
- Lucia Carril-Ajuria
- Department of Cancer Medicine, Institut Gustave-Roussy, Villejuif, France.,Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France
| | - Aude Desnoyer
- Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France.,Faculté de Pharmacie, Université Paris-Saclay, Chatenay-Malabray, France
| | - Maxime Meylan
- Centre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France
| | - Cécile Dalban
- Department of Biostatistics, Centre Leon Bernard, Lyon, France
| | - Marie Naigeon
- Faculté de Pharmacie, Université Paris-Saclay, Chatenay-Malabray, France.,Laboratoire d'immunomonitoring En Oncologie, Institut Gustave-Roussy, Villejuif, France.,Faculté de Médecine, Université Paris-Saclay, Le Kremlin Bicetre, France
| | - Lydie Cassard
- Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France
| | - Yann Vano
- Centre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France.,Service d'Oncologie Medicale, Hopital Europeen Georges Pompidou, Paris, France
| | - Nathalie Rioux-Leclercq
- Service Anatomie Etcytologie Pathologiques, CHU, Université de Rennes, Universite de Rennes 1, Rennes, France
| | - Salem Chouaib
- Department of Immunology, Gustave Roussy Institute, Villejuif, France
| | | | - Sylvie Chabaud
- Department of Biostatistics, Centre Leon Bernard, Lyon, France
| | | | - Antoine Bougoüin
- Centre de Recherche des Cordeliers, Inserm UMR S1138, Paris, France
| | | | | | | | - Lisa Boselli
- Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France
| | - Caroline De Oliveira
- Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France
| | | | - Bernard Escudier
- Department of Cancer Medicine, Institut Gustave-Roussy, Villejuif, France
| | | | - Laurence Albiges
- Department of Cancer Medicine, Institut Gustave-Roussy, Villejuif, France.,Faculté de Médecine, Université Paris-Saclay, Le Kremlin Bicetre, France
| | - Nathalie Chaput-Gras
- Laboratory for Immunomonitoring in Oncology, Institut Gustave-Roussy, Villejuif, France .,Faculté de Pharmacie, Université Paris-Saclay, Chatenay-Malabray, France
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18
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Li H, Wu M, Zhao X. Role of chemokine systems in cancer and inflammatory diseases. MedComm (Beijing) 2022; 3:e147. [PMID: 35702353 PMCID: PMC9175564 DOI: 10.1002/mco2.147] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/10/2022] [Accepted: 05/11/2022] [Indexed: 12/12/2022] Open
Abstract
Chemokines are a large family of small secreted proteins that have fundamental roles in organ development, normal physiology, and immune responses upon binding to their corresponding receptors. The primary functions of chemokines are to coordinate and recruit immune cells to and from tissues and to participate in regulating interactions between immune cells. In addition to the generally recognized antimicrobial immunity, the chemokine/chemokine receptor axis also exerts a tumorigenic function in many different cancer models and is involved in the formation of immunosuppressive and protective tumor microenvironment (TME), making them potential prognostic markers for various hematologic and solid tumors. In fact, apart from its vital role in tumors, almost all inflammatory diseases involve chemokines and their receptors in one way or another. Modulating the expression of chemokines and/or their corresponding receptors on tumor cells or immune cells provides the basis for the exploitation of new drugs for clinical evaluation in the treatment of related diseases. Here, we summarize recent advances of chemokine systems in protumor and antitumor immune responses and discuss the prevailing understanding of how the chemokine system operates in inflammatory diseases. In this review, we also emphatically highlight the complexity of the chemokine system and explore its potential to guide the treatment of cancer and inflammatory diseases.
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Affiliation(s)
- Hongyi Li
- Department of Gynecology and Obstetrics, Development and Related Disease of Women and Children Key Laboratory of Sichuan Province, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of EducationWest China Second HospitalSichuan UniversityChengduChina
| | - Min Wu
- Department of Biomedical Sciences, School of Medicine and Health SciencesUniversity of North DakotaGrand ForksNorth DakotaUSA
| | - Xia Zhao
- Department of Gynecology and Obstetrics, Development and Related Disease of Women and Children Key Laboratory of Sichuan Province, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of EducationWest China Second HospitalSichuan UniversityChengduChina
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19
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Classification of Muscle Invasive Bladder Cancer to Predict Prognosis of Patients Treated with Immunotherapy. J Immunol Res 2022; 2022:6737241. [PMID: 35677536 PMCID: PMC9170513 DOI: 10.1155/2022/6737241] [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: 02/21/2022] [Accepted: 05/03/2022] [Indexed: 12/03/2022] Open
Abstract
Background Recently, immunotherapies have been approved for advanced muscle invasive bladder cancer (MIBC) treatment, but only a small fraction of MIBC patients could achieve a durable drug response. Our study is aimed at identifying tumor microenvironment (TME) subtypes that have different immunotherapy response rates. Methods The mRNA expression profiles of MIBC samples from seven discovery datasets (GSE13507, GSE31684, GSE32548, GSE32894, GSE48075, GSE48276, and GSE69795) were analyzed to identify TME subtypes. The identified TME subtypes were then validated by an independent dataset (TCGA-MIBC). The subtype-related biomarkers were discovered using computational analyses and then utilized to establish a random forest predictive model. The associations of TME subtypes with immunotherapy therapeutic responses were investigated in a group of patients who had been treated with immunotherapy. A prognostic index model was constructed using the subtype-related biomarkers. Two nomograms were built by the subtype-related biomarkers or the clinical parameters. Results Two TME subtypes, including ECM-enriched class (EC) and immune-enriched class (IC), were found. EC was associated with greater extracellular matrix (ECM) pathways, and IC was correlated with immune pathways, respectively. Overall survival was significantly greater for tumors classified as IC, whereas the EC subtype had a worse prognosis. A total of nine genes (AKAP12, APOL3, CXCL13, CXCL9, GBP4, LRIG1, PEG3, PODN, and PTPRD) were selected by computational analyses to construct the random forest model. The area under the curve (AUC) values for this model were 0.827 and 0.767 in the testing and external validation datasets, respectively. Therapeutic response rates were greater in IC patients than in EC patients (28 percent vs. 18 percent). Patients with a high prognostic index had a poorer prognosis than those with a low prognostic index. The nomogram constructed from nine genes and stage achieved a C-index of 0.71. Conclusion The present investigation defined two distinct TME subtypes and developed models to assess immunotherapeutic treatment outcomes.
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20
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Chang SJ, Chao CT, Kwan AL, Chai CY. The Diagnostic Significance of CXCL13 in M2 Tumor Immune Microenvironment of Human Astrocytoma. Pathol Oncol Res 2022; 28:1610230. [PMID: 35570844 PMCID: PMC9095826 DOI: 10.3389/pore.2022.1610230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 03/23/2022] [Indexed: 11/13/2022]
Abstract
Background: CXCL13 may act as a mediator of tumor-associated macrophage immunity during malignant progression. Objective: The present study clarifies the clinicopathological significances of CXCL13 and its corresponding trend with M2 macrophage in human astrocytoma. Methods: The predictive potential of CXCL13 was performed using 695 glioma samples derived from TCGA lower-grade glioma and glioblastoma (GBMLGG) dataset. CXCL13 and M2 biomarker CD163 were observed by immunohistochemistry in 112 astrocytoma tissues. Results: An in-depth analysis showed that CXCL13 expression was related to the poor prognosis of glioma patients (p = 0.0002) derive from TCGA analysis. High level of CXCL13 was detected in 43 (38.39%) astrocytoma and CXCL13/CD163 coexpression was expressed in 33 (29.46%) cases. The immunoreactivities of CXCL13 and CXCL13/CD163 were found in the malignant lesions, which were both significantly associated with grade, patient survival, and IDH1 mutation. Single CXCL13 and CXCL13/CD163 coexpression predicted poor overall survival in astrocytoma (p = 0.0039 and p = 0.0002, respectively). Multivariate Cox regression analyses manifested CXCL13/CD163 phenotype was a significant independent prognostic indicator of patient outcome in astrocytoma (CXCL13, p = 0.0642; CXCL13/CD163, p = 0.0368). Conclusion: CXCL13 overexpression is strongly linked to CD163+ M2 infiltration in malignant astrocytoma. CXCL13/CD163 coexpression would imply M2c-related aggressive characteristics existing in astrocytoma progression could also provide predictive trends of patient outcomes.
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Affiliation(s)
- Shu-Jyuan Chang
- Department of Pathology, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Pathology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chia-Te Chao
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Aij-Lie Kwan
- Department of Neurosurgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Surgery, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chee-Yin Chai
- Department of Pathology, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Pathology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Institute of Biomedical Sciences, National Sun Yat-Sen University, Kaohsiung, Taiwan
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21
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Simon Davis DA, Mun S, Smith JM, Hammill D, Garrett J, Gosling K, Price J, Elsaleh H, Syed FM, Atmosukarto II, Quah BJC. Machine learning predicts cancer subtypes and progression from blood immune signatures. PLoS One 2022; 17:e0264631. [PMID: 35226704 PMCID: PMC8884497 DOI: 10.1371/journal.pone.0264631] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 02/14/2022] [Indexed: 12/23/2022] Open
Abstract
Clinical adoption of immune checkpoint inhibitors in cancer management has highlighted the interconnection between carcinogenesis and the immune system. Immune cells are integral to the tumour microenvironment and can influence the outcome of therapies. Better understanding of an individual’s immune landscape may play an important role in treatment personalisation. Peripheral blood is a readily accessible source of information to study an individual’s immune landscape compared to more complex and invasive tumour bioipsies, and may hold immense diagnostic and prognostic potential. Identifying the critical components of these immune signatures in peripheral blood presents an attractive alternative to tumour biopsy-based immune phenotyping strategies. We used two syngeneic solid tumour models, a 4T1 breast cancer model and a CT26 colorectal cancer model, in a longitudinal study of the peripheral blood immune landscape. Our strategy combined two highly accessible approaches, blood leukocyte immune phenotyping and plasma soluble immune factor characterisation, to identify distinguishing immune signatures of the CT26 and 4T1 tumour models using machine learning. Myeloid cells, specifically neutrophils and PD-L1-expressing myeloid cells, were found to correlate with tumour size in both the models. Elevated levels of G-CSF, IL-6 and CXCL13, and B cell counts were associated with 4T1 growth, whereas CCL17, CXCL10, total myeloid cells, CCL2, IL-10, CXCL1, and Ly6Cintermediate monocytes were associated with CT26 tumour development. Peripheral blood appears to be an accessible means to interrogate tumour-dependent changes to the host immune landscape, and to identify blood immune phenotypes for future treatment stratification.
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Affiliation(s)
| | - Sahngeun Mun
- Irradiation Immunity Interaction Lab, Canberra, ACT, Australia
| | | | - Dillon Hammill
- Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Jessica Garrett
- Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Katharine Gosling
- Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Jason Price
- Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Hany Elsaleh
- Radiation Oncology Department, The Alfred, Melbourne, VIC, Australia
| | - Farhan M. Syed
- Irradiation Immunity Interaction Lab, Canberra, ACT, Australia
- Radiation Oncology Department, Canberra Hospital, Canberra Health Services, Canberra, ACT, Australia
| | - Ines I. Atmosukarto
- Irradiation Immunity Interaction Lab, Canberra, ACT, Australia
- Division of Genome Sciences & Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia
| | - Benjamin J. C. Quah
- Irradiation Immunity Interaction Lab, Canberra, ACT, Australia
- Radiation Oncology Department, Canberra Hospital, Canberra Health Services, Canberra, ACT, Australia
- * E-mail:
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22
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Zhou H, Lu H, Sun L, Wang Z, Zheng M, Hang Z, Zhang D, Tan R, Gu M. Diagnostic Biomarkers and Immune Infiltration in Patients With T Cell-Mediated Rejection After Kidney Transplantation. Front Immunol 2022; 12:774321. [PMID: 35058922 PMCID: PMC8764245 DOI: 10.3389/fimmu.2021.774321] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 12/15/2021] [Indexed: 11/25/2022] Open
Abstract
T cell-mediated rejection (TCMR) is an important rejection type in kidney transplantation, characterized by T cells and macrophages infiltration. The application of bioinformatic analysis in genomic research has been widely used. In the present study, Microarray data was analyzed to identify the potential diagnostic markers of TCMR in kidney transplantation. Cell-type identification by estimating relative subsets of RNA transcript (CIBERSORT) was performed to determine the distribution of immune cell infiltration in the pathology. Totally 129 upregulated differently expressed genes (DEGs) and 378 downregulated DEGs were identified. The GO and KEGG results demonstrated that DEGs were mainly associated with pathways and diseases involved in immune response. The intersection of the two algorithms (PPI network and LASSO) contains three overlapping genes (CXCR6, CXCL13 and FCGR1A). After verification in GSE69677, only CXCR6 and CXCL13 were selected. Immune cells Infiltration analysis demonstrated that CXCR6 and CXCL13 were positively correlated with gamma delta T cells (p < 0.001), CD4+ memory activated T cells (p < 0.001), CD8+ T cells (p < 0.001) and M1 macrophages (p = 0.006), and negatively correlated with M2 macrophages (p < 0.001) and regulatory T cells (p < 0.001). Immunohistochemical staining and image analysis confirmed the overexpression of CXCR6 and CXCL13 in human allograft TCMR samples. CXCR6 and CXCL13 could be diagnostic biomarkers of TCMR and potential targets for immunotherapy in patients with TCMR.
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Affiliation(s)
- Hai Zhou
- Department of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Hongcheng Lu
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Li Sun
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zijie Wang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ming Zheng
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Zhou Hang
- Department of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Dongliang Zhang
- Department of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ruoyun Tan
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Min Gu
- Department of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
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23
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Yuan K, Zeng R, Deng P, Zhang A, Liu H, Wang N, Tang Y, Yin Z, Liu H. Identification and Verification of Immune-Related Genes Prognostic Signature Based on ssGSEA for Adrenocortical Carcinoma (ACC). Int J Gen Med 2022; 15:1471-1483. [PMID: 35210821 PMCID: PMC8857983 DOI: 10.2147/ijgm.s345123] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/26/2022] [Indexed: 01/07/2023] Open
Abstract
Purpose Adrenocortical carcinoma (ACC) is an endocrine malignant tumor with poor prognosis. The study aimed to construct ACC immune-related gene prognostic signature and verify the efficacy of prognostic signature. Methods ACC RNA-seq data and clinical information are downloaded from TCGA databases and GEO databases. We used single sample gene set enrichment analysis (ssGSEA) to assess immune cell infiltration in ACC patients and ACC patients were divided into high- and low-immune cell infiltration clusters. The validity of ssGSEA grouping was verified using the ESTIMATE algorithm. A total of 275 differentially expressed immune-related genes (IRGs) were obtained from the intersection of IRGs and differentially expressed genes (DEGs) in high and low immune cell infiltration clusters. LASSO analysis was used to identify 13 IRGs that regulate the prognosis of ACC patients through immune infiltration. Kaplan–Meier analysis, ROC curve, univariate and multivariate Cox regression further confirmed that these 13 immune-related gene signatures were innovative and significant prognostic factors, which were independent of clinical features. Finally, ACC prognostic nomogram was constructed, ROC curve and calibration curve were drawn to evaluate the accuracy of the prognostic nomogram. Results LASSO regression analysis was used to screen out ACC survival-related genes. Univariate and multivariate Cox proportional risk regression models were used to analyze and construct the ACC prognosis nomogram. The AUC for predicting 1-, 3- and 5-year overall survival rate of ACC patients was 0.799, 0.966 and 0.969, suggesting good prediction accuracy. The calibration curve shows that the predicted results of the prognostic nomogram are in good agreement with the actual situation. Conclusion ssGSEA technique plays an important role in the construction of ACC prognostic model. Based on IRGs associated with survival independently predicted ACC prognosis, we identified thirteen immune-related genes as prognostic signature for ACC.
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Affiliation(s)
- Kaisheng Yuan
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Ruiqi Zeng
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Pengteng Deng
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Aiping Zhang
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Huiqian Liu
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Ning Wang
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Yongxi Tang
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Zhikang Yin
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Hang Liu
- Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
- Correspondence: Hang Liu, Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China, Tel +86-185-8030-9681, Email
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24
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Chen J, Lu C, Wang X, Wang L, Chen J, Ji F. LncRNA NONRATT009773.2 promotes bone cancer pain progression through the miR‐708‐5p/CXCL13 axis. Eur J Neurosci 2022; 55:661-674. [PMID: 35075718 DOI: 10.1111/ejn.15607] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 01/18/2022] [Accepted: 01/18/2022] [Indexed: 11/30/2022]
Affiliation(s)
- Junjie Chen
- Department of Anesthesiology First Affiliated Hospital of Soochow University Suzhou China
- Department of Anesthesiology Affiliated Hospital of Nantong University Nantong China
| | - Cui’e Lu
- Department of Anesthesiology Affiliated Hospital of Nantong University Nantong China
| | - Xiaodong Wang
- Department of Anesthesiology, Weihai Municipal Hospital, Cheeloo College of Medicine Shandong University Weihai China
| | - Lin Wang
- Department of Anesthesiology Affiliated Hospital of Yangzhou University Yangzhou China
| | - Jia Chen
- Department of Operation, Nantong Maternal and Child Health Hospital Nantong China
| | - Fuhai Ji
- Department of Anesthesiology First Affiliated Hospital of Soochow University Suzhou China
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25
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Zhou C, Liu Q, Xiang Y, Gou X, Li W. Role of the tumor immune microenvironment in tumor immunotherapy. Oncol Lett 2022; 23:53. [PMID: 34992685 PMCID: PMC8721848 DOI: 10.3892/ol.2021.13171] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Accepted: 12/02/2021] [Indexed: 12/18/2022] Open
Abstract
Tumor immunotherapy is considered to be a novel and promising therapy for tumors and it has recently become a hot research topic. The clinical success of tumor immunotherapy has been notable, but it has been less than totally satisfactory because tumor immunotherapy has performed poorly in numerous patients although it has shown appreciable efficacy in some patients. A minority of patients demonstrate durable responses but the majority of patients do not respond to tumor immunotherapy as the tumor immune microenvironment is different in different patients for different tumor types. The success of tumor immunotherapy may be affected by the heterogeneity of the tumor immune microenvironment and its components, as these vary widely during neoplastic progression. The deepening of research and the development of technology have improved our understanding of the complexity and heterogeneity of the tumor immune microenvironment and its components, and their effects on response to tumor immunotherapy. Therefore, investigating the tumor immune microenvironment and its components and elucidating their association with tumor immunotherapy should improve the ability to study, predict and guide immunotherapeutic responsiveness, and uncover new therapeutic targets.
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Affiliation(s)
- Changsheng Zhou
- Department of Hepatobiliary Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian 361102, P.R. China.,Department of Hepatobiliary Surgery, Guizhou Provincial People's Hospital, Guiyang, Guizhou 550002, P.R. China.,School of Medicine, Xiamen University, Xiamen, Fujian 361102, P.R. China.,Cancer Research Center of Xiamen University, Xiamen University, Xiamen, Fujian 361102, P.R. China.,Retroperitoneal Tumor Research Center of Oncology Chapter of Chinese Medical Association, Xiamen University, Xiamen, Fujian 361102, P.R. China
| | - Qianqian Liu
- Department of Hepatobiliary Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian 361102, P.R. China.,School of Medicine, Xiamen University, Xiamen, Fujian 361102, P.R. China
| | - Yi Xiang
- Department of Hepatobiliary Surgery, Guizhou Provincial People's Hospital, Guiyang, Guizhou 550002, P.R. China
| | - Xin Gou
- Department of Hepatobiliary Surgery, Guizhou Provincial People's Hospital, Guiyang, Guizhou 550002, P.R. China
| | - Wengang Li
- Department of Hepatobiliary Surgery, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian 361102, P.R. China.,School of Medicine, Xiamen University, Xiamen, Fujian 361102, P.R. China.,Cancer Research Center of Xiamen University, Xiamen University, Xiamen, Fujian 361102, P.R. China.,Retroperitoneal Tumor Research Center of Oncology Chapter of Chinese Medical Association, Xiamen University, Xiamen, Fujian 361102, P.R. China
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26
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Chatzis L, Goules AV, Stergiou IE, Voulgarelis M, Tzioufas AG, Kapsogeorgou EK. Serum, but Not Saliva, CXCL13 Levels Associate With Infiltrating CXCL13+ Cells in the Minor Salivary Gland Lesions and Other Histologic Parameters in Patients With Sjögren's Syndrome. Front Immunol 2021; 12:705079. [PMID: 34484201 PMCID: PMC8416055 DOI: 10.3389/fimmu.2021.705079] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 08/03/2021] [Indexed: 11/23/2022] Open
Abstract
Recent studies suggest that elevated CXCL13 serum levels in patients with primary Sjögren’s syndrome (pSS) associate with minor salivary gland (MSG) histologic features, disease severity, as well as high-risk status for non-Hodgkin lymphoma (NHL) development and NHL itself. In contrast, limited discriminative value of CXCL13 saliva levels has been reported. Prompt by these reports, we sought to validate the clinical utility of CXCL13 by investigating potential correlations of serum and saliva levels with MSG histopathologic [including CXCL13+-cell number, severity of infiltrates and germinal center (GC) formation], serologic and clinical parameters, as well as NHL. CXCL13 levels were evaluated in paired serum and saliva specimens of 45 pSS patients (15 with NHL; pSS-associated NHL: SSL), 11 sicca-controls (sicca-complaining individuals with negative MSG biopsy and negative autoantibody profile), 10 healthy individuals (healthy-controls) and 6 non-SS-NHLs. CXCL13+-cells were measured in paired MSG-tissues of 22 of pSS patients studied (including 7 SSLs) and all sicca-controls. CXCL13 serum levels were significantly increased in pSS and SSL patients compared to sicca- and healthy-controls and were positively correlated with the CXCL13+-cell number and biopsy focus-score. Serum CXCL13 was significantly higher in pSS patients with GCs, rheumatoid factor, hypocomplementemia, high disease activity, NHL and in high-risk patients for NHL development. CXCL13 saliva levels were significantly increased in SSL patients (compared to non-SS-NHLs), patients with GCs and in high-risk for NHL patients. Univariate analysis revealed that CXCL13 serum, but not saliva, levels were associated with lymphoma, an association that did not survive multivariate analysis. Conclusively, our findings confirm that serum, but not saliva, levels of CXCL13 are associated with histologic, serologic and clinical features indicative of more severe pSS.
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Affiliation(s)
- Loukas Chatzis
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Institute for Autoimmune Systemic and Neurological Diseases, Athens, Greece
| | - Andreas V Goules
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Institute for Autoimmune Systemic and Neurological Diseases, Athens, Greece
| | - Ioanna E Stergiou
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Institute for Autoimmune Systemic and Neurological Diseases, Athens, Greece
| | - Michael Voulgarelis
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Institute for Autoimmune Systemic and Neurological Diseases, Athens, Greece
| | - Athanasios G Tzioufas
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Institute for Autoimmune Systemic and Neurological Diseases, Athens, Greece
| | - Efstathia K Kapsogeorgou
- Department of Pathophysiology, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.,Institute for Autoimmune Systemic and Neurological Diseases, Athens, Greece
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27
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Qin M, Wang D, Fang Y, Zheng Z, Liu X, Wu F, Wang L, Li X, Hui B, Ma S, Tang W, Pan X. Current Perspectives on B Lymphocytes in the Immunobiology of Hepatocellular Carcinoma. Front Oncol 2021; 11:647854. [PMID: 34235074 PMCID: PMC8256159 DOI: 10.3389/fonc.2021.647854] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Accepted: 06/02/2021] [Indexed: 12/14/2022] Open
Abstract
Immune cells infiltrating tumors are capable of significantly impacting carcinogenesis through cancer promotion and anticancer responses. There are many aspects of hepatocellular carcinoma (HCC) related T lymphocytes that are undergoing extensive studies, whereas the effect exerted by B lymphocytes remains a less researched area. In this study, the latest research on the effect of B lymphocytes as they infiltrate tumors in relation to HCC is presented. Their prognosis-related importance is analyzed, along with their function in the tumor microenvironment (TME), as well as the way that B cell biology can be employed to help create a B cell therapy strategy for HCC.
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Affiliation(s)
- Miaomiao Qin
- Department of Anesthesiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Danping Wang
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yijiao Fang
- Department of Anesthesiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Zhiying Zheng
- Department of Anesthesiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xinyang Liu
- Department of Anesthesiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Fan Wu
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Liangliang Wang
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Xiao Li
- Department of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | - Bingqing Hui
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shijie Ma
- Department of Gastroenterology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, China
| | - Weiwei Tang
- Hepatobiliary/Liver Transplantation Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Living Donor Transplantation, Chinese Academy of Medical Sciences, Nanjing, China
| | - Xiongxiong Pan
- Department of Anesthesiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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