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Ye J, Wei B, Zhou G, Xu Y, He Y, Hu X, Chen X, Zhang G, Liu H. Multi-dimensional characterization of apoptosis in the tumor microenvironment and therapeutic relevance in melanoma. Cell Oncol (Dordr) 2024; 47:1333-1353. [PMID: 38502270 PMCID: PMC11322377 DOI: 10.1007/s13402-024-00930-0] [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] [Accepted: 02/23/2024] [Indexed: 03/21/2024] Open
Abstract
PURPOSE Melanoma is widely utilized as a prominent model for the development of immunotherapy, thought an inadequate immune response can occur. Moreover, the development of apoptosis-related therapies and combinations with other therapeutic strategies is impeded by the limited understanding of apoptosis's role within diverse tumor immune microenvironments (TMEs). METHODS Here, we constructed an apoptosis-related tumor microenvironment signature (ATM) and employ multi-dimensional analysis to understand the roles of apoptosis in tumor microenvironment. We further assessed the clinical applications of ATM in nine independent cohorts, and anticipated the impact of ATM on cellular drug response in cultured cells. RESULTS Our ATM model exhibits robust performance in survival prediction in multiple melanoma cohorts. Different ATM groups exhibited distinct molecular signatures and biological processes. The low ATM group exhibited significant enrichment in B cell activation-related pathways. What's more, plasma cells showed the lowest ATM score, highlighting their role as pivotal contributors in the ATM model. Mechanistically, the analysis of the interplay between plasma cells and other immune cells elucidated their crucial role in orchestrating an effective anti-tumor immune response. Significantly, the ATM signature exhibited associations with therapeutic efficacy of immune checkpoint blockade and the drug sensitivity of various agents, including FDA-approved and clinically utilized drugs targeting the VEGF signaling pathway. Finally, ATM was associated with tertiary lymphoid structures (TLS), exhibiting stronger patient stratification ability compared to classical "hot tumors". CONCLUSION Our findings indicate that ATM is a prognostic factor and is associated with the immune response and drug sensitivity in melanoma.
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Affiliation(s)
- Jing Ye
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan, 410008, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Changsha, Hunan, 410008, China
- Hunan Engineering Research Center of Skin Health and Disease, Changsha, Hunan, 410008, China
- Xiangya Clinical Research Center for Cancer Immunotherapy, Changsha, Hunan, 410008, China
| | - Benliang Wei
- Big Data Institute, Central South University, Changsha, Hunan, 410008, China
| | - Guowei Zhou
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan, 410008, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Changsha, Hunan, 410008, China
- Hunan Engineering Research Center of Skin Health and Disease, Changsha, Hunan, 410008, China
- Xiangya Clinical Research Center for Cancer Immunotherapy, Changsha, Hunan, 410008, China
| | - Yantao Xu
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan, 410008, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Changsha, Hunan, 410008, China
- Hunan Engineering Research Center of Skin Health and Disease, Changsha, Hunan, 410008, China
- Xiangya Clinical Research Center for Cancer Immunotherapy, Changsha, Hunan, 410008, China
| | - Yi He
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan, 410008, China
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Changsha, Hunan, 410008, China
- Hunan Engineering Research Center of Skin Health and Disease, Changsha, Hunan, 410008, China
- Xiangya Clinical Research Center for Cancer Immunotherapy, Changsha, Hunan, 410008, China
| | - Xiheng Hu
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan, 410008, China.
- Furong Laboratory, Changsha, Hunan, China.
- Department of Urology, Xiangya Hospital, Central South University, Changsha, China.
| | - Xiang Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan, 410008, China.
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Changsha, Hunan, 410008, China.
- Hunan Engineering Research Center of Skin Health and Disease, Changsha, Hunan, 410008, China.
- Xiangya Clinical Research Center for Cancer Immunotherapy, Changsha, Hunan, 410008, China.
- Furong Laboratory, Changsha, Hunan, China.
| | - Guanxiong Zhang
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan, 410008, China.
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Changsha, Hunan, 410008, China.
- Hunan Engineering Research Center of Skin Health and Disease, Changsha, Hunan, 410008, China.
- Xiangya Clinical Research Center for Cancer Immunotherapy, Changsha, Hunan, 410008, China.
| | - Hong Liu
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Changsha, Hunan, 410008, China.
- Hunan Key Laboratory of Skin Cancer and Psoriasis, Changsha, Hunan, 410008, China.
- Hunan Engineering Research Center of Skin Health and Disease, Changsha, Hunan, 410008, China.
- Xiangya Clinical Research Center for Cancer Immunotherapy, Changsha, Hunan, 410008, China.
- Big Data Institute, Central South University, Changsha, Hunan, 410008, China.
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2
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Armstrong D, Chang CY, Hong MJ, Green L, Hudson W, Shen Y, Song LZ, Jammi S, Casal B, Creighton CJ, Carisey A, Zhang XHF, McKenna NJ, Kang SW, Lee HS, Corry DB, Kheradmand F. MAGE-A4-Responsive Plasma Cells Promote Non-Small Cell Lung Cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.10.602985. [PMID: 39071307 PMCID: PMC11275715 DOI: 10.1101/2024.07.10.602985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/30/2024]
Abstract
Adaptive immunity is critical to eliminate malignant cells, while multiple tumor-intrinsic factors can alter this protective function. Melanoma antigen-A4 (MAGE-A4), a cancer-testis antigen, is expressed in several solid tumors and correlates with poor survival in non-small cell lung cancer (NSCLC), but its role in altering antitumor immunity remains unclear. We found that expression of MAGE-A4 was highly associated with the loss of PTEN , a tumor suppressor, in human NSCLC. Here we show that constitutive expression of human MAGE-A4 combined with the loss of Pten in mouse airway epithelial cells results in metastatic adenocarcinoma enriched in CD138 + CXCR4 + plasma cells, predominantly expressing IgA. Consistently, human NSCLC expressing MAGE-A4 showed increased CD138 + IgA + plasma cell density surrounding tumors. The abrogation of MAGE-A4-responsive plasma cells (MARPs) decreased tumor burden, increased T cell infiltration and activation, and reduced CD163 + CD206 + macrophages in mouse lungs. These findings suggest MAGE-A4 promotes NSCLC tumorigenesis, in part, through the recruitment and retention of IgA + MARPs in the lungs.
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Granato DC, Carnielli CM, Trino LD, Busso-Lopes AF, Câmara GA, Normando AGC, Filho HVR, Domingues R, Yokoo S, Pauletti BA, Patroni FM, Santos-Silva AR, Lopes MA, Brandão TB, Prado-Ribeiro AC, Lopes-de Oliveira PS, Telles GP, Paes Leme AF. Mapping Conformational Changes in the Saliva Proteome Potentially Associated with Oral Cancer Aggressiveness. J Proteome Res 2024; 23:2148-2159. [PMID: 38785273 PMCID: PMC11166140 DOI: 10.1021/acs.jproteome.4c00093] [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: 02/08/2024] [Revised: 04/19/2024] [Accepted: 05/03/2024] [Indexed: 05/25/2024]
Abstract
Diverse proteomics-based strategies have been applied to saliva to quantitatively identify diagnostic and prognostic targets for oral cancer. Considering that these targets may be regulated by events that do not imply variation in protein abundance levels, we hypothesized that changes in protein conformation can be associated with diagnosis and prognosis, revealing biological processes and novel targets of clinical relevance. For this, we employed limited proteolysis-mass spectrometry in saliva samples to explore structural alterations, comparing the proteome of healthy control and oral squamous cell carcinoma (OSCC) patients with and without lymph node metastasis. Thirty-six proteins with potential structural rearrangements were associated with clinical patient features including transketolase and its interacting partners. Moreover, N-glycosylated peptides contribute to structural rearrangements of potential diagnostic and prognostic markers. Altogether, this approach utilizes saliva proteins to search for targets for diagnosing and prognosing oral cancer and can guide the discovery of potential regulated sites beyond protein-level abundance.
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Affiliation(s)
- Daniela C. Granato
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Carolina M. Carnielli
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Luciana D. Trino
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Ariane F. Busso-Lopes
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Guilherme A. Câmara
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Ana Gabriela C. Normando
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Helder V. R. Filho
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Romênia
R. Domingues
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Sami Yokoo
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Bianca A. Pauletti
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Fabio M. Patroni
- Centro
de Biologia Molecular e Engenharia Genética, Universidade Estadual de Campinas (UNICAMP), Campinas 13083-875, Brazil
| | - Alan R. Santos-Silva
- Departamento
de Diagnóstico Oral, Faculdade de Odontologia de Piracicaba, Universidade Estadual de Campinas (UNICAMP), Piracicaba, SP 13414-903, Brazil
| | - Márcio A. Lopes
- Departamento
de Diagnóstico Oral, Faculdade de Odontologia de Piracicaba, Universidade Estadual de Campinas (UNICAMP), Piracicaba, SP 13414-903, Brazil
| | - Thaís Bianca Brandão
- Instituto
do Câncer do Estado de São Paulo, Octavio Frias de Oliveira, São Paulo 01246-000, Brazil
| | | | - Paulo. S. Lopes-de Oliveira
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
| | - Guilherme P. Telles
- Instituto
de Computação, Universidade
Estadual de Campinas (UNICAMP), Campinas, São Paulo 13083-852, Brazil
| | - Adriana F. Paes Leme
- Laboratório
Nacional de Biociências (LNBio), Centro Nacional de Pesquisa em Energia e Materiais (CNPEM), Campinas, São Paulo 13083-970, Brazil
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Zhang Y, Xu M, Ren Y, Ba Y, Liu S, Zuo A, Xu H, Weng S, Han X, Liu Z. Tertiary lymphoid structural heterogeneity determines tumour immunity and prospects for clinical application. Mol Cancer 2024; 23:75. [PMID: 38582847 PMCID: PMC10998345 DOI: 10.1186/s12943-024-01980-6] [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: 12/21/2023] [Accepted: 03/05/2024] [Indexed: 04/08/2024] Open
Abstract
Tertiary lymphoid structures (TLS) are clusters of immune cells that resemble and function similarly to secondary lymphoid organs (SLOs). While TLS is generally associated with an anti-tumour immune response in most cancer types, it has also been observed to act as a pro-tumour immune response. The heterogeneity of TLS function is largely determined by the composition of tumour-infiltrating lymphocytes (TILs) and the balance of cell subsets within the tumour-associated TLS (TA-TLS). TA-TLS of varying maturity, density, and location may have opposing effects on tumour immunity. Higher maturity and/or higher density TLS are often associated with favorable clinical outcomes and immunotherapeutic response, mainly due to crosstalk between different proportions of immune cell subpopulations in TA-TLS. Therefore, TLS can be used as a marker to predict the efficacy of immunotherapy in immune checkpoint blockade (ICB). Developing efficient imaging and induction methods to study TA-TLS is crucial for enhancing anti-tumour immunity. The integration of imaging techniques with biological materials, including nanoprobes and hydrogels, alongside artificial intelligence (AI), enables non-invasive in vivo visualization of TLS. In this review, we explore the dynamic interactions among T and B cell subpopulations of varying phenotypes that contribute to the structural and functional diversity of TLS, examining both existing and emerging techniques for TLS imaging and induction, focusing on cancer immunotherapies and biomaterials. We also highlight novel therapeutic approaches of TLS that are being explored with the aim of increasing ICB treatment efficacy and predicting prognosis.
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Affiliation(s)
- Yuyuan Zhang
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Mengjun Xu
- Medical School of Zhengzhou University, Zhengzhou, Henan, China
| | - Yuqing Ren
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Yuhao Ba
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Shutong Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Anning Zuo
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Hui Xu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Siyuan Weng
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Xinwei Han
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
- Interventional Institute of Zhengzhou University, Zhengzhou, Henan, 450052, China.
- Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan, 450052, China.
| | - Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China.
- Interventional Institute of Zhengzhou University, Zhengzhou, Henan, 450052, China.
- Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan, 450052, China.
- Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
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5
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Fukuda H, Uehara T, Nakajima T, Iwaya M, Asaka S, Kurita H. A preliminary study of IgG4 expression and its prognostic significance in oral squamous cell carcinoma. BMC Cancer 2024; 24:294. [PMID: 38438903 PMCID: PMC10913618 DOI: 10.1186/s12885-024-12048-5] [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: 07/24/2023] [Accepted: 02/23/2024] [Indexed: 03/06/2024] Open
Abstract
BACKGROUND IgG4, which plays a pivotal role in the progression of phenotypically diverse tumors, serves as a prognostic marker because of its influence on cancer immunity. Nevertheless, the functions of IgG4 in tongue squamous cell carcinoma (TSCC) remained to be identified. METHODS To evaluate the significance of IgG4 expression in TSCC, we performed immunohistochemical analysis of patients with TSCC (n = 50) to evaluate the correlation of IgG4 expression with patients' clinicopathological features and prognoses. RESULTS Higher IgG4 expression detected in TSCC tissues was associated with the less advanced mode of invasion (Yamamoto-Kohama [YK] 1-3) (P = 0.031) and with well-differentiated TSCC (P = 0.077). Kaplan-Meier analyses revealed that the higher IgG4 expression group exhibited better prognosis indicated by overall survival (OS) (P = 0.04) and recurrence-free survival (RFS) (P = 0.016). Univariate analysis of OS indicated that IgG4 expression was associated with longer OS (P = 0.061), and multivariate analysis of RFS revealed that IgG4 expression served as an independent prognostic factor for longer RFS (P = 0.005). CONCLUSION These results indicate that relatively higher IgG4 levels serve as a favorable prognostic factor for TSCC.
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Affiliation(s)
- Hironobu Fukuda
- Department of Dentistry and Oral Surgery, Shinshu University School of Medicine, Matsumoto, Japan
| | - Takeshi Uehara
- Department of Laboratory Medicine, Shinshu University School of Medicine, 3-1-1 Asahi, 390-8621, Matsumoto, Nagano, Japan.
| | - Tomoyuki Nakajima
- Department of Laboratory Medicine, Shinshu University School of Medicine, 3-1-1 Asahi, 390-8621, Matsumoto, Nagano, Japan
| | - Mai Iwaya
- Department of Laboratory Medicine, Shinshu University School of Medicine, 3-1-1 Asahi, 390-8621, Matsumoto, Nagano, Japan
| | - Shiho Asaka
- Department of Laboratory Medicine, Shinshu University School of Medicine, 3-1-1 Asahi, 390-8621, Matsumoto, Nagano, Japan
- Department of Laboratory Medicine, Nagano Children's Hospital, Azumino, Japan
| | - Hiroshi Kurita
- Department of Dentistry and Oral Surgery, Shinshu University School of Medicine, Matsumoto, Japan
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6
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Bryushkova EA, Mushenkova NV, Turchaninova MA, Lukyanov DK, Chudakov DM, Serebrovskaya EO. B cell clonality in cancer. Semin Immunol 2024; 72:101874. [PMID: 38508089 DOI: 10.1016/j.smim.2024.101874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Revised: 01/05/2024] [Accepted: 01/05/2024] [Indexed: 03/22/2024]
Abstract
Carcinogenesis in the process of long-term co-evolution of tumor cells and immune environment essentially becomes possible due to incorrect decisions made, remembered, and reproduced by the immune system at the level of clonal populations of antigen-specific T- and B-lymphocytes. Tumor-immunity interaction determines the nature of such errors and, consequently, delineates the possible ways of successful immunotherapeutic intervention. It is generally recognized that tumor-infiltrating B cells (TIL-B) can play both pro-tumor and anti-tumor roles. However, the exact mechanisms that determine the contribution of clonal B cell lineages with different specificities and functions remain largely unclear. This is due to the variability of cancer types, the molecular heterogeneity of tumor cells, and, to a large extent, the individual pattern of each immune response. Further progress requires detailed investigation of the functional properties and phenotypes of clonally heterogeneous B cells in relation to their antigenic specificities, which determine the functionality of both effector B lymphocytes and immunoglobulins produced in the tumor environment. Based on a real understanding of the role of clonal antigen-specific populations of B lymphocytes in the tumor microenvironment, we need to learn how to develop new methods of targeted immunotherapy, as well as adapt existing treatment options to the specific needs of different patients and patient subgroups. In this review, we will cover B cells functional diversity and their multifaceted roles in the tumor environment.
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Affiliation(s)
- E A Bryushkova
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia; Department of Molecular Biology, Lomonosov Moscow State University, Moscow, Russia
| | - N V Mushenkova
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia; Unicorn Capital Partners, Moscow, Russia
| | - M A Turchaninova
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia
| | - D K Lukyanov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia; Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - D M Chudakov
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia; Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia; Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
| | - E O Serebrovskaya
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia; Current position: Miltenyi Biotec B.V. & Co. KG, Bergisch Gladbach, Germany
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7
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Serebrovskaya EO, Bryushkova EA, Lukyanov DK, Mushenkova NV, Chudakov DM, Turchaninova MA. Toolkit for mapping the clonal landscape of tumor-infiltrating B cells. Semin Immunol 2024; 72:101864. [PMID: 38301345 DOI: 10.1016/j.smim.2024.101864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 01/08/2024] [Indexed: 02/03/2024]
Abstract
Our current understanding of whether B cell involvement in the tumor microenvironment benefits the patient or the tumor - in distinct cancers, subcohorts and individual patients - is quite limited. Both statements are probably true in most cases: certain clonal B cell populations contribute to the antitumor response, while others steer the immune response away from the desired mechanics. To step up to a new level of understanding and managing B cell behaviors in the tumor microenvironment, we need to rationally discern these roles, which are cumulatively defined by B cell clonal functional programs, specificities of their B cell receptors, specificities and isotypes of the antibodies they produce, and their spatial interactions within the tumor environment. Comprehensive analysis of these characteristics of clonal B cell populations is now becoming feasible with the development of a whole arsenal of advanced technical approaches, which include (1) methods of single-cell and spatial transcriptomics, genomics, and proteomics; (2) methods of massive identification of B cell specificities; (3) methods of deep error-free profiling of B cell receptor repertoires. Here we overview existing techniques, summarize their current application for B cells studies and propose promising future directions in advancing B cells exploration.
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Affiliation(s)
- E O Serebrovskaya
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia; Current position: Miltenyi Biotec B.V. & Co. KG, Bergisch Gladbach, Germany
| | - E A Bryushkova
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia; Department of Molecular Biology, Lomonosov Moscow State University, Moscow, Russia
| | - D K Lukyanov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia; Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia
| | - N V Mushenkova
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia; Unicorn Capital Partners, 119049, Moscow, Russia
| | - D M Chudakov
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia; Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia; Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
| | - M A Turchaninova
- Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry RAS, Moscow, Russia
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8
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Zhang J, Li Y, Yang Y, Huang J, Sun Y, Zhang X, Kong X. A novel iTreg-related signature for prognostic prediction in lung adenocarcinoma. Cancer Sci 2024; 115:109-124. [PMID: 38015097 PMCID: PMC10823293 DOI: 10.1111/cas.16015] [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: 05/24/2023] [Revised: 10/09/2023] [Accepted: 10/30/2023] [Indexed: 11/29/2023] Open
Abstract
Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer. Most patients are diagnosed at an advanced stage, therefore it is crucial to identify novel prognostic biomarkers for LUAD. As important regulatory cells, inducible regulatory T cells (iTregs) play a vital role in immune suppression and are important for the maintenance of immune homeostasis. This study explored the prognostic value and therapeutic effects of iTreg-related genes in LUAD. Data for LUAD patients, including immune infiltration data, RNA sequencing data, and clinical features, were acquired from The Cancer Genome Atlas, Gene Expression Omnibus, and Tumor Immune Single-cell Hub 2 databases. Immune-related subgroups with different infiltration patterns and iTreg-related genes were identified through univariate and multivariate Cox regression analyses and weighted correlation network analysis. Functional enrichment analyses were performed to explore the underlying mechanisms of iTreg-related genes. A prognostic risk signature was constructed using Cox regression analysis with the least absolute shrinkage and selection operator penalty. The ESTIMATE algorithm was applied to determine the immune status of LUAD patients. We applied the constructed signature to predict chemosensitivity and performed single-cell RNA sequencing analysis. The infiltration of iTregs was identified as an independent factor for predicting patient outcomes. We constructed a prognostic signature based on seven iTreg-related genes (GIMAP5, SLA, MS4A7, ZNF366, POU2AF1, MRPL12, and COL5A1), which was applied to subdivide patients into high- and low-risk subgroups. Our results revealed that patients in the iTreg-related low-risk subgroup had a better prognosis and possibly greater sensitivity to traditional chemotherapy. Our study provides a novel iTreg-related signature to elucidate the mechanisms underlying LUAD prognosis and promote individualized chemotherapy treatment.
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Affiliation(s)
- Jian Zhang
- Department of Thoracic SurgeryHarbin Medical University Cancer HospitalHarbinHeilongjiangChina
| | - Yan Li
- Department of Obstetrics and GynecologyThe First Affiliated Hospital of Harbin Medical UniversityHarbinHeilongjiangChina
| | - Yue Yang
- Institute of Cancer Prevention and Treatment, Harbin Medical UniversityHarbinHeilongjiangChina
| | - Jian Huang
- The Fourth Department of Medical OncologyHarbin Medical University Cancer HospitalHarbinHeilongjiangChina
| | - Yue Sun
- The Academic Department of Science and TechnologyHarbin Medical University Cancer HospitalHarbinHeilongjiangChina
| | - Xi Zhang
- Department of AnaesthesiologyHarbin Medical University Cancer HospitalHarbinHeilongjiangChina
| | - Xianglong Kong
- Department of Thoracic SurgeryHarbin Medical University Cancer HospitalHarbinHeilongjiangChina
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9
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Zhong Z, Zhang H, Nan K, Zhong J, Wu Q, Lu L, Yue Y, Zhang Z, Guo M, Wang Z, Xia J, Xing Y, Fu Y, Yu B, Zhou W, Sun X, Shen Y, Chen W, Zhang J, Zhang J, Ma D, Chu Y, Liu R, Miao C. Fasting-Mimicking Diet Drives Antitumor Immunity against Colorectal Cancer by Reducing IgA-Producing Cells. Cancer Res 2023; 83:3529-3543. [PMID: 37602826 PMCID: PMC10618736 DOI: 10.1158/0008-5472.can-23-0323] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 05/05/2023] [Accepted: 08/15/2023] [Indexed: 08/22/2023]
Abstract
As a safe, feasible, and inexpensive dietary intervention, fasting-mimicking diet (FMD) exhibits excellent antitumor efficacy by regulating metabolism and boosting antitumor immunity. A better understanding of the specific mechanisms underlying the immunoregulatory functions of FMD could help improve and expand the clinical application of FMD-mediated immunotherapeutic strategies. In this study, we aimed to elucidate the role of metabolic reprogramming induced by FMD in activation of antitumor immunity against colorectal cancer. Single-cell RNA sequencing analysis of intratumoral immune cells revealed that tumor-infiltrating IgA+ B cells were significantly reduced by FMD treatment, leading to the activation of antitumor immunity and tumor regression in murine colorectal cancer models. Mechanistically, FMD delayed tumor growth by repressing B-cell class switching to IgA. Therefore, FMD-induced reduction of IgA+ B cells overcame the suppression of CD8+ T cells. The immunoregulatory and antitumor effects of FMD intervention were reversed by IgA+ B-cell transfer. Moreover, FMD boosted fatty acid oxidation (FAO) to trigger RUNX3 acetylation, thus inactivating Cα gene transcription and IgA class switching. IgA+ B-cell expansion was also impeded in patients placed on FMD, while B-cell expression of carnitine palmitoyl transferase 1A (CPT1A), the rate-limiting enzyme of FAO, was increased. Furthermore, CPT1A expression was negatively correlated with both IgA+ B cells and IgA secretion within colorectal cancer. Together, these results highlight that FMD holds great promise for treating colorectal cancer. Furthermore, the degree of IgA+ B cell infiltration and FAO-associated metabolic status are potential biomarkers for evaluating FMD efficacy. SIGNIFICANCE Metabolic reprogramming of B cells induced by fasting-mimicking diet suppresses IgA class switching and production to activate antitumor immunity and inhibit tumor growth. See related commentary by Bush and Perry, p. 3493.
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Affiliation(s)
- Ziwen Zhong
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
| | - Hao Zhang
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
| | - Ke Nan
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
| | - Jing Zhong
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
| | - Qichao Wu
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
| | - Lihong Lu
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of Anesthesiology, Department of Oncology, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Yue
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
| | - Zhenyu Zhang
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
| | - Miaomiao Guo
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
| | - Zhiqiang Wang
- Department of Immunology, School of Basic Medical Sciences, and Shanghai Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Jie Xia
- Shanghai Fifth People's Hospital, and Shanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Yun Xing
- Department of Immunology, School of Basic Medical Sciences, and Shanghai Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Ying Fu
- Department of Immunology, School of Basic Medical Sciences, and Shanghai Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Baichao Yu
- Department of Immunology, School of Basic Medical Sciences, and Shanghai Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Wenchang Zhou
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
| | - Xingfeng Sun
- Department of Anesthesiology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China
| | - Yang Shen
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
| | - Wankun Chen
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
| | - Jie Zhang
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
| | - Jin Zhang
- Key Laboratory of Metabolism and Molecular Medicine, Ministry of Education, Department of Biochemistry and Molecular Biology, Institute of Biomedical Sciences, Collaborative Innovation Center of Genetics and Development, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Duan Ma
- Key Laboratory of Metabolism and Molecular Medicine, Ministry of Education, Department of Biochemistry and Molecular Biology, Institute of Biomedical Sciences, Collaborative Innovation Center of Genetics and Development, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Yiwei Chu
- Department of Immunology, School of Basic Medical Sciences, and Shanghai Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Ronghua Liu
- Shanghai Fifth People's Hospital, and Shanghai Key Laboratory of Medical Epigenetics, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Changhong Miao
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Key Laboratory of Perioperative Stress and Protection, Shanghai, China
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10
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Wang, Y, Hou, L, Yang, M, Fan, J, Wang Y, Sun L. Identification of prognostic immune subtypes of lung squamous cell carcinoma by unsupervised consistent clustering. Medicine (Baltimore) 2023; 102:e35123. [PMID: 37713826 PMCID: PMC10508570 DOI: 10.1097/md.0000000000035123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 08/17/2023] [Indexed: 09/17/2023] Open
Abstract
We performed UCC on the expression data of lung squamous cell carcinoma tumor samples to identify the classification of lung squamous cell carcinoma (LUSC) tumor samples, and calculated the levels of different classified immune cells by single-sample gene enrichment analysis (ssGSEA) to obtain a set of immune-related subtype gene tags, which can be used for subtype classification of lung squamous cell carcinoma. TCGA-LUSC and GSE30219 data of lung squamous cell carcinoma were obtained from TCGA and GEO databases. Prognostic-associated subtypes were identified by unsupervised consensus clustering (UCC). Using ssGSEA analysis to calculate the level of immune cells of different subtypes, obtain the connection between subtypes and immunity, identify the gene signatures recognized by subtypes, and verify this group of gene signatures through GSE30219. We effectively identified 2 subtypes that were significantly associated with prognostic survival by UCC, and calculated according to ssGSEA, the 2 subtypes were significantly different at the level of immune cells, followed by introducing a This weighted thinking computes a set of gene signatures that are significantly associated with subtype 1. During validation, this set of gene signatures could efficiently and robustly identify distinct prognostic immune subtypes, demonstrated the validity of this set of gene signatures, as well as 2 subtypes of lung squamous cell carcinoma. We used lung squamous cell carcinoma data from public databases and identified 2 prognostic immunosubtypes of lung squamous cell carcinoma and a set of gene tags that can be used to classify immune subtypes of lung squamous cell carcinoma, which may provide effective evidence for accurate clinical treatment of lung squamous cell carcinoma.
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Affiliation(s)
- Yuhan Wang,
- Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Litie Hou,
- Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Miao Yang,
- Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Jinyan Fan,
- Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Yanbo Wang
- Changchun University of Chinese Medicine, Changchun, Jilin, China
| | - Liping Sun
- Changchun University of Chinese Medicine, Changchun, Jilin, China
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11
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Wang J, Zhang Z, Chen Y. Supramolecular immunotherapy on diversiform immune cells. J Mater Chem B 2023; 11:8347-8367. [PMID: 37563947 DOI: 10.1039/d3tb00924f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
Supramolecular immunotherapy employs supramolecular materials to stimulate the immune system for inhibiting tumor cell growth and metastasis, reducing the cancer recurrence rate, and improving the quality of the patient's life. Additionally, it can lessen patient suffering and the deterioration of their illness, as well as increase their survival rate. This paper will outline the fundamentals of tumor immunotherapy based on supramolecular materials as well as its current state of development and potential applications. To be more specific, we will first introduce the basic principles of supramolecular immunotherapy, including the processes, advantages and limitations of immunotherapy, the construction of supramolecular material structures, and its benefits in treatment. Second, considering the targeting of supramolecular drugs to immune cells, we comprehensively discuss the unique advantages of applying supramolecular drugs with different types of immune cells in tumor immunotherapy. The current research advances in supramolecular immunotherapy, including laboratory research and clinical applications, are also described in detail. Finally, we reveal the tremendous promise of supramolecular materials in tumor immunotherapy, as well as discuss the opportunities and challenges that may be faced in future development.
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Affiliation(s)
- Jiahui Wang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, P. R. China.
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, P. R. China
| | - Ziyi Zhang
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, P. R. China.
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, P. R. China
| | - Yueyue Chen
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, 100069, P. R. China.
- Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, 100069, P. R. China
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12
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Cui C, Craft J, Joshi NS. T follicular helper cells in cancer, tertiary lymphoid structures, and beyond. Semin Immunol 2023; 69:101797. [PMID: 37343412 DOI: 10.1016/j.smim.2023.101797] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 06/09/2023] [Accepted: 06/15/2023] [Indexed: 06/23/2023]
Abstract
With the emergence and success of checkpoint blockade immunotherapy, immuno-oncology has primarily focused on CD8 T cells, whose cytotoxic programs directly target tumor cells. However, the limited response rate of current immunotherapy regimens has prompted investigation into other types of tumor-infiltrating immune cells, such as CD4 T cells and B cells, and how they interact with CD8 T cells in a coordinated network. Recent studies have demonstrated the potential therapeutic benefits of CD4 T follicular helper (TFH) cells and B cells in cancer, highlighting the important role of their crosstalk and interactions with other immune cell components in the tumor microenvironment. These interactions also occur in tumor-associated tertiary lymphoid structures (TLS), which resemble secondary lymphoid organs (SLOs) with orchestrated vascular, chemokine, and cellular infrastructures that support the developmental pathways of functional immune cells. In this review, we discuss recent breakthroughs on TFH biology and T cell-B cell interactions in tumor immunology, and their potential as novel therapeutic targets to advance cancer treatment.
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Affiliation(s)
- Can Cui
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA
| | - Joseph Craft
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA; Department of Internal Medicine (Rheumatology, Allergy and Immunology), Yale University School of Medicine, New Haven, CT 06520, USA.
| | - Nikhil S Joshi
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT 06520, USA.
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13
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Robertson AG, Meghani K, Cooley LF, McLaughlin KA, Fall LA, Yu Y, Castro MAA, Groeneveld CS, de Reyniès A, Nazarov VI, Tsvetkov VO, Choy B, Raggi D, Marandino L, Montorsi F, Powles T, Necchi A, Meeks JJ. Expression-based subtypes define pathologic response to neoadjuvant immune-checkpoint inhibitors in muscle-invasive bladder cancer. Nat Commun 2023; 14:2126. [PMID: 37105962 PMCID: PMC10140274 DOI: 10.1038/s41467-023-37568-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2021] [Accepted: 03/21/2023] [Indexed: 04/29/2023] Open
Abstract
Checkpoint immunotherapy (CPI) has increased survival for some patients with advanced-stage bladder cancer (BCa). However, most patients do not respond. Here, we characterized the tumor and immune microenvironment in pre- and post-treatment tumors from the PURE01 neoadjuvant pembrolizumab immunotherapy trial, using a consolidative approach that combined transcriptional and genetic profiling with digital spatial profiling. We identify five distinctive genetic and transcriptomic programs and validate these in an independent neoadjuvant CPI trial to identify the features of response or resistance to CPI. By modeling the regulatory network, we identify the histone demethylase KDM5B as a repressor of tumor immune signaling pathways in one resistant subtype (S1, Luminal-excluded) and demonstrate that inhibition of KDM5B enhances immunogenicity in FGFR3-mutated BCa cells. Our study identifies signatures associated with response to CPI that can be used to molecularly stratify patients and suggests therapeutic alternatives for subtypes with poor response to neoadjuvant immunotherapy.
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Affiliation(s)
| | - Khyati Meghani
- Departments of Urology, and Biochemistry and Molecular Genetics, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Lauren Folgosa Cooley
- Departments of Urology, and Biochemistry and Molecular Genetics, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Kimberly A McLaughlin
- Departments of Urology, and Biochemistry and Molecular Genetics, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Leigh Ann Fall
- Departments of Urology, and Biochemistry and Molecular Genetics, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Yanni Yu
- Departments of Urology, and Biochemistry and Molecular Genetics, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Mauro A A Castro
- Bioinformatics and Systems Biology Laboratory, Federal University of Paraná, Curitiba, Brazil
| | - Clarice S Groeneveld
- Université Paris Cité, Centre de Recherche sur l'Inflammation (CRI), INSERM, U1149, CNRS, ERL 8252, F-75018, Paris, France
- Oncologie Moleculaire, Institut Curie, Equipe Labellisée Ligue Contre le Cancer, Paris, France
| | - Aurélien de Reyniès
- Université Paris Cité, INSERM U1138 Centre de Recherches des Cordeliers, APHP, SeQOIA-IT, Paris, France
| | | | | | - Bonnie Choy
- Department of Pathology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - Daniele Raggi
- Department of Medical Oncology, IRCCS San Raffaele Hospital and Scientific Institute, Milan, Italy
| | - Laura Marandino
- Department of Medical Oncology, IRCCS San Raffaele Hospital and Scientific Institute, Milan, Italy
| | - Francesco Montorsi
- Department of Urology, IRCCS San Raffaele Hospital and Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Thomas Powles
- Barts Experimental Cancer Medicine Centre, Barts Cancer Institute, Queen Mary University of London, London, UK
| | - Andrea Necchi
- Department of Medical Oncology, IRCCS San Raffaele Hospital and Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Joshua J Meeks
- Departments of Urology, and Biochemistry and Molecular Genetics, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA.
- Jesse Brown VA Medical Center, Chicago, IL, 60611, USA.
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14
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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: 36] [Impact Index Per Article: 36.0] [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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15
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Kendal JK, Shehata MS, Lofftus SY, Crompton JG. Cancer-Associated B Cells in Sarcoma. Cancers (Basel) 2023; 15:cancers15030622. [PMID: 36765578 PMCID: PMC9913500 DOI: 10.3390/cancers15030622] [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: 12/15/2022] [Revised: 01/16/2023] [Accepted: 01/16/2023] [Indexed: 01/20/2023] Open
Abstract
Despite being one of the first types of cancers studied that hinted at a major role of the immune system in pro- and anti-tumor biology, little is known about the immune microenvironment in sarcoma. Few types of sarcoma have shown major responses to immunotherapy, and its rarity and heterogeneity makes it challenging to study. With limited systemic treatment options, further understanding of the underlying mechanisms in sarcoma immunity may prove crucial in advancing sarcoma care. While great strides have been made in the field of immunotherapy over the last few decades, most of these efforts have focused on harnessing the T cell response, with little attention on the role B cells may play in the tumor microenvironment. A growing body of evidence suggests that B cells have both pro- and anti-tumoral effects in a large variety of cancers, and in the age of bioinformatics and multi-omic analysis, the complexity of the humoral response is just being appreciated. This review explores what is currently known about the role of B cells in sarcoma, including understanding the various B cell populations associated with sarcoma, the organization of intra-tumoral B cells in tertiary lymphoid structures, recent trials in immunotherapy in sarcoma, intra-tumoral immunoglobulin, the pro-tumor effects of B cells, and exciting future areas for research.
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Affiliation(s)
- Joseph K. Kendal
- Department of Orthopaedic Surgery, University of California, Los Angeles, CA 90404, USA
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90024, USA
| | - Michael S. Shehata
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90024, USA
| | - Serena Y. Lofftus
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90024, USA
- Division of Surgical Oncology, Department of Surgery, University of California, Los Angeles, CA 90095, USA
| | - Joseph G. Crompton
- Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA 90024, USA
- Division of Surgical Oncology, Department of Surgery, University of California, Los Angeles, CA 90095, USA
- Correspondence: ; Tel.: +1-310-825-2644
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16
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Identification of mutational signature for lung adenocarcinoma prognosis and immunotherapy prediction. J Mol Med (Berl) 2022; 100:1755-1769. [PMID: 36367565 DOI: 10.1007/s00109-022-02266-4] [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: 05/31/2022] [Revised: 10/04/2022] [Accepted: 10/17/2022] [Indexed: 11/13/2022]
Abstract
There is no robust genomic signature to predict the prognosis of patients with early-stage lung adenocarcinoma (LUAD). It was known that clonal heterogeneity was closely associated to tumour progression and prognosis prediction. Herein, using stage I patients from The Cancer Genome Atlas, we identified the clonal/subclonal events of each gene and preselected a set of genes with prognosis-specific mutation patterns based on a robust published transcriptomic prognostic signature. Subsequently, we constructed a mutational prognostic signature (MPS), whose prognostic performance was independently validated in two datasets of stage I samples. The predicted high-risk patients had significantly higher immune cell infiltration, along with higher expression of cytotoxic and immune checkpoint genes, and an integrated dataset with 88 samples confirmed that high-risk patients could benefit from immunotherapy. The developed MPS can identify the high-risk patients with stage I LUAD and improve individualised treatment planning of high-risk patients who might benefit from immunotherapy. KEY MESSAGES: We creatively developed a prognostic signature (57-MPS) based on clonal diversity. The high-risk samples displayed an underlying immunosuppressive mechanism. 57-MPS improved the predictive performance of PD-L1 for immunotherapy.
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17
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Alvarez MS, Zhou Q, Tena J, Lebrilla CB, Completo GC, Heralde FM, Cabanatan M, Barzaga MT, Tan-Liu N, Ladrera GI, Danguilan JL, Rabajante J, Padolina I, Nacario RC. N-Glycan and Glycopeptide Serum Biomarkers in Philippine Lung Cancer Patients Identified Using Liquid Chromatography-Tandem Mass Spectrometry. ACS OMEGA 2022; 7:40230-40240. [PMID: 36385894 PMCID: PMC9647785 DOI: 10.1021/acsomega.2c05111] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 09/09/2022] [Indexed: 06/16/2023]
Abstract
Aberrant glycosylation has been extensively reported in cancer, with fundamental changes in the glycosylation patterns of cell-surface and secreted proteins largely occurring during cancer progression. As such, serum glycan and glycopeptide biomarkers have been discovered using mass spectrometry and proposed for cancer detection. Here, we report for the first time potential serum N-glycan and glycopeptide biomarkers for Philippine lung cancer patients. The N-glycan and glycoprotein profiles of a cohort (n = 26 patients, n = 22 age- and gender-matched) of lung cancer patients were analyzed and compared to identify potential N-glycan and glycopeptide serum biomarkers using nano-QToF-MS/MS and ultra-high-performance liquid chromatography coupled with triple quadrupole mass spectrometry dynamic multiple monitoring methods, respectively. Statistical analyses identified differential N-glycan and glycopeptide abundances. The N-glycans were mostly sialylated and sialofucosylated branched structures. The glycopeptides involved proteins in complement and coagulation cascades (p adj = 6.418 × 10-4), innate immunity (p adj = 6.094 × 10-3), acute inflammatory response (p adj = 6.404 × 10-5), defense response (p adj = 2.082 × 10-4), complement activation pathways (p adj = 1.895 × 10-2), and immunoglobulin-mediated immune response pathways (p adj = 4.818 × 10-2). Biomarker models were constructed using serum N-glycans [area under the curve (AUC) = 0.775; 95% CI: 0.617-0.931] and glycopeptides (AUC = 0.959; 95% CI: 0.85-1.0), with glycopeptides having higher accuracies than N-glycans. The results suggest that in the Philippine lung cancer patient sera, specific N-glycans and site-specific glycans are differentially expressed between cases and controls. This report represents the first serum glycan and glycopeptide biomarkers of Philippine lung cancer patients, further demonstrating the utility of mass spectrometry-based glycomic and glycoproteomic methods.
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Affiliation(s)
- Michael
Russelle S. Alvarez
- Institute
of Chemistry, College of Arts and Sciences, University of the Philippines Los Baños, Laguna 4031, Philippines
- Department
of Chemistry, University of California Davis, Davis, California 95616-5270, United States
| | - Qingwen Zhou
- Department
of Chemistry, University of California Davis, Davis, California 95616-5270, United States
| | - Jennyfer Tena
- Department
of Chemistry, University of California Davis, Davis, California 95616-5270, United States
| | - Carlito B. Lebrilla
- Department
of Chemistry, University of California Davis, Davis, California 95616-5270, United States
| | - Gladys C. Completo
- Institute
of Chemistry, College of Arts and Sciences, University of the Philippines Los Baños, Laguna 4031, Philippines
| | - Francisco M. Heralde
- Molecular
Diagnostics and Cellular Therapeutics Laboratory, Lung Center of the Philippines, Quezon City 1104, Philippines
- Department
of Biochemistry and Molecular Biology, College of Medicine, University of the Philippines−Manila, Manila, NCR 1159, Philippines
| | - Michelle Cabanatan
- Molecular
Diagnostics and Cellular Therapeutics Laboratory, Lung Center of the Philippines, Quezon City 1104, Philippines
| | - Ma. Teresa Barzaga
- Molecular
Diagnostics and Cellular Therapeutics Laboratory, Lung Center of the Philippines, Quezon City 1104, Philippines
- College
of Medicine, De La Salle Health Sciences
Institute, Cavite 4114, Philippines
| | - Nelia Tan-Liu
- Molecular
Diagnostics and Cellular Therapeutics Laboratory, Lung Center of the Philippines, Quezon City 1104, Philippines
| | - Guia Imelda Ladrera
- Molecular
Diagnostics and Cellular Therapeutics Laboratory, Lung Center of the Philippines, Quezon City 1104, Philippines
| | - Jose Luis Danguilan
- Department
of Thoracic Surgery and Anesthesia, Lung
Center of the Philippines, Quezon
City 1104, Philippines
| | - Jomar Rabajante
- Institute
of Mathematical Sciences and Physics, College of Arts and Sciences, University of the Philippines Los Baños, Laguna 4031, Philippines
| | - Isagani Padolina
- Pascual
Pharma Corp, Core Research and Development Laboratory, UPLB Science and Technology Park, Los Baños, Laguna 4031, Philippines
| | - Ruel C. Nacario
- Institute
of Chemistry, College of Arts and Sciences, University of the Philippines Los Baños, Laguna 4031, Philippines
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18
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Heterogeneity and Functions of Tumor-Infiltrating Antibody Secreting Cells: Lessons from Breast, Ovarian, and Other Solid Cancers. Cancers (Basel) 2022; 14:cancers14194800. [PMID: 36230721 PMCID: PMC9563085 DOI: 10.3390/cancers14194800] [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: 08/22/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 11/17/2022] Open
Abstract
Simple Summary B cells are gaining increasing recognition as important contributors to the tumor microenvironment, influencing, positively or negatively, tumor growth, patient survival, and response to therapies. Antibody secreting cells (ASCs) constitute a variable fraction of tumor-infiltrating B cells in most solid tumors, and they produce tumor-specific antibodies that can drive distinct immune responses depending on their isotypes and specificities. In this review, we discuss the current knowledge of the heterogeneity of ASCs infiltrating solid tumors and how both their canonical and noncanonical functions shape antitumor immunity, with a special emphasis on breast and ovarian cancers. Abstract Neglected for a long time in cancer, B cells and ASCs have recently emerged as critical actors in the tumor microenvironment, with important roles in shaping the antitumor immune response. ASCs indeed exert a major influence on tumor growth, patient survival, and response to therapies. The mechanisms underlying their pro- vs. anti-tumor roles are beginning to be elucidated, revealing the contributions of their secreted antibodies as well as of their emerging noncanonical functions. Here, concentrating mostly on ovarian and breast cancers, we summarize the current knowledge on the heterogeneity of tumor-infiltrating ASCs, we discuss their possible local or systemic origin in relation to their immunoglobulin repertoire, and we review the different mechanisms by which antibody (Ab) subclasses and isoforms differentially impact tumor cells and anti-tumor immunity. We also discuss the emerging roles of cytokines and other immune modulators produced by ASCs in cancer. Finally, we propose strategies to manipulate the tumor ASC compartment to improve cancer therapies.
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Liu Y, Yu M, Cheng X, Zhang X, Luo Q, Liao S, Chen Z, Zheng J, Long K, Wu X, Qu W, Gong M, Song Y. A novel LUAD prognosis prediction model based on immune checkpoint-related lncRNAs. Front Genet 2022; 13:1016449. [PMID: 36212122 PMCID: PMC9533213 DOI: 10.3389/fgene.2022.1016449] [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: 08/11/2022] [Accepted: 09/05/2022] [Indexed: 12/24/2022] Open
Abstract
Lung adenocarcinoma (LUAD) is a malignant disease with an extremely poor prognosis, and there is currently a lack of clinical methods for early diagnosis and precise treatment and management. With the deepening of tumor research, more and more attention has been paid to the role of immune checkpoints (ICP) and long non-coding RNAs (lncRNAs) regulation in tumor development. Therefore, this study downloaded LUAD patient data from the TCGA database, and finally screened 14 key ICP-related lncRNAs based on ICP-related genes using univariate/multivariate COX regression analysis and LASSO regression analysis to construct a risk prediction model and corresponding nomogram. After multi-dimensional testing of the model, the model showed good prognostic prediction ability. In addition, to further elucidate how ICP plays a role in LUAD, we jointly analyzed the immune microenvironmental changes in LAUD patients and performed a functional enrichment analysis. Furthermore, to enhance the clinical significance of this study, we performed a sensitivity analysis of common antitumor drugs. All the above works aim to point to new directions for the treatment of LUAD.
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Balance between immunoregulatory B cells and plasma cells drives pancreatic tumor immunity. Cell Rep Med 2022; 3:100744. [PMID: 36099917 PMCID: PMC9512696 DOI: 10.1016/j.xcrm.2022.100744] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 06/30/2022] [Accepted: 08/23/2022] [Indexed: 12/15/2022]
Abstract
Plasma cell responses are associated with anti-tumor immunity and favorable response to immunotherapy. B cells can amplify anti-tumor immune responses through antibody production; yet B cells in patients and tumor-bearing mice often fail to support this effector function. We identify dysregulated transcriptional program in B cells that disrupts differentiation of naive B cells into anti-tumor plasma cells. The signaling network contributing to this dysfunction is driven by interleukin (IL) 35 stimulation of a STAT3-PAX5 complex that upregulates the transcriptional regulator BCL6 in naive B cells. Transient inhibition of BCL6 in tumor-educated naive B cells is sufficient to reverse the dysfunction in B cell differentiation, stimulating the intra-tumoral accumulation of plasma cells and effector T cells and rendering pancreatic tumors sensitive to anti-programmed cell death protein 1 (PD-1) blockade. Our findings argue that B cell effector dysfunction in cancer can be due to an active systemic suppression program that can be targeted to synergize with T cell-directed immunotherapy. Balance between regulatory B cells and plasma cells shapes pancreatic tumor growth Cancer primes naive B cells toward regulatory B cell differentiation IL-35 drives B cell reprogramming via formation of a pSTAT3-Pax5 complex IL-35/BCL6 blockade in naive B cells enhances αPD1 efficacy
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Zhong Z, Wang J, Han Q, Lin H, Luo H, Guo D, Jiang Y, Liu A. XBP1 impacts lung adenocarcinoma progression by promoting plasma cell adaptation to the tumor microenvironment. Front Genet 2022; 13:969536. [PMID: 36092910 PMCID: PMC9448868 DOI: 10.3389/fgene.2022.969536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
Background: The activation of X-box binding protein 1 (XBP1) plays an essential role in the unfolded protein response (UPR) of the endoplasmic reticulum (ER). XBP1 is commonly expressed in various tumors and is closely related to tumorigenesis and progression. However, the role of XBP1 in lung adenocarcinoma (LUAD), especially the prognostic value of its alternative splicing isoforms, remains largely unknown. Methods: The LUAD datasets were retrieved from the The Cancer Genome Atlas, ArrayExpress and Gene Expression Omnibus. GEPIA2 and meta-analysis were employed to explore the prognostic value, and bioinformatics analysis with the TIMER2.0 database was used to investigate immune cell infiltration. We performed single-cell analyses to identify cell types with high XBP1 expression. In addition, polymerase chain reaction (PCR) and DNA sequencing were performed to verify the authenticity of the new spliceosome. Results: In this study, we found that high expression of XBP1 was significantly associated with a good prognosis, and XBP1 expression was significantly positively correlated with B cell infiltration in LUAD. In addition, we found that high-level expression of a novel splicing isoform, XBP1 (XBP1-003), improved the prognosis of LUAD. Protein structural analysis demonstrated that XBP1-003 has several specific protein domains that are different from those of other XBP1 isoforms, indicating a unique function of this isoform in LUAD. Conclusion: All these results suggest that XBP1 plays an antitumorigenic role in LUAD through alternative splicing, which may be related to the adaptation of plasma cells. This sheds new light on the potential strategy for LUAD prognosis evaluation and immunotherapy.
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Affiliation(s)
- Zhaoqian Zhong
- Guangdong Provincial Key Laboratory of Proteomics, State Key Laboratory of Organ Failure Research, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Junhao Wang
- Guangdong Provincial Key Laboratory of Proteomics, State Key Laboratory of Organ Failure Research, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Qizheng Han
- Guangdong Provincial Key Laboratory of Proteomics, State Key Laboratory of Organ Failure Research, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Hong Lin
- Guangdong Provincial Key Laboratory of Proteomics, State Key Laboratory of Organ Failure Research, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Haihua Luo
- Guangdong Provincial Key Laboratory of Proteomics, State Key Laboratory of Organ Failure Research, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Danyan Guo
- Guangdong Provincial Key Laboratory of Proteomics, State Key Laboratory of Organ Failure Research, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Yong Jiang
- Guangdong Provincial Key Laboratory of Proteomics, State Key Laboratory of Organ Failure Research, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
- *Correspondence: Yong Jiang, ; Aihua Liu,
| | - Aihua Liu
- Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, China
- *Correspondence: Yong Jiang, ; Aihua Liu,
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22
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Comprehensive Analysis of Gene Signatures of m6ARNA Methylation Regulators in Lung Adenocarcinoma and Development of a Risk Scoring System. J Immunol Res 2022; 2022:7519838. [PMID: 36061307 PMCID: PMC9428682 DOI: 10.1155/2022/7519838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 07/15/2022] [Indexed: 12/02/2022] Open
Abstract
The recent application of targeted immunotherapy has greatly improved the clinical outcomes of patients with lung adenocarcinoma (LUAD), but drug resistance continues to emerge, and to evaluate and to improve patient prognosis are arduous. The diagnostic and prognostic value of N6-methyladenosine (M6A) in LUAD has attracted increasing attention. We systematically studied correlations among important M6A methylation regulators, tumor mutational burden (TMB), and immune infiltration in clinical and sequencing data from the LUAD cohort of the cancer genome map (TCGA). The molecular subtype clusters 1 and 2 were identified by the consensus clustering of 16 M6A regulatory factors. Clinical prognosis, M6A regulatory factor expression, TMB, pathway enrichment, and immune cell infiltration significantly differed between clusters 1 and 2. Compared with other clinical traits, a prognostic risk score system constructed using the M6A regulatory factors HNRNPA2B1 and HNRNPC can serve as an independent prognostic method for LUAD, with higher predictive sensitivity and specificity. Risk scores were significantly higher for cluster 2 than 1, which was consistent with the trend towards a better prognosis in cluster 1. Overall, our findings revealed an important role of M6A methylation regulators in LUAD, and our risk scoring system involving these regulators might help to screen groups at high risk for LUAD and provide important theoretical bioinformatic support for evaluating the prognosis of such patients.
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Qin Y, Lu F, Lyu K, Chang AE, Li Q. Emerging concepts regarding pro- and anti tumor properties of B cells in tumor immunity. Front Immunol 2022; 13:881427. [PMID: 35967441 PMCID: PMC9366002 DOI: 10.3389/fimmu.2022.881427] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 07/07/2022] [Indexed: 12/26/2022] Open
Abstract
Controversial views regarding the roles of B cells in tumor immunity have existed for several decades. However, more recent studies have focused on its positive properties in antitumor immunity. Many studies have demonstrated a close association of the higher density of intratumoral B cells with favorable outcomes in cancer patients. B cells can interact with T cells as well as follicular dendritic cells within tertiary lymphoid structures, where they undergo a series of biological events, including clonal expansion, somatic hypermutation, class switching, and tumor-specific antibody production, which may trigger antitumor humoral responses. After activation, B cells can function as effector cells via direct tumor-killing, antigen-presenting activity, and production of tumor-specific antibodies. At the other extreme, B cells can obtain inhibitory functions by relevant stimuli, converting to regulatory B cells, which serve as an immunosuppressive arm to tumor immunity. Here we summarize our current understanding of the bipolar properties of B cells within the tumor immune microenvironment and propose potential B cell-based immunotherapeutic strategies, which may help promote cancer immunotherapy.
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Affiliation(s)
- You Qin
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
| | - Furong Lu
- Department of Integrated Traditional Chinese and Western Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Molecular and Integrative Physiology, University of Michigan Medical School, Ann Arbor, MI, United States
| | - Kexing Lyu
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
- Otorhinolaryngology Hospital, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Alfred E. Chang
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
- *Correspondence: Qiao Li, ; Alfred E. Chang,
| | - Qiao Li
- Rogel Cancer Center, University of Michigan, Ann Arbor, MI, United States
- *Correspondence: Qiao Li, ; Alfred E. Chang,
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Wu Y, Wen H, Bernstein ZJ, Hainline KM, Blakney TS, Congdon KL, Snyder DJ, Sampson JH, Sanchez-Perez L, Collier JH. Multiepitope supramolecular peptide nanofibers eliciting coordinated humoral and cellular antitumor immune responses. SCIENCE ADVANCES 2022; 8:eabm7833. [PMID: 35857833 PMCID: PMC9299545 DOI: 10.1126/sciadv.abm7833] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 06/06/2022] [Indexed: 06/15/2023]
Abstract
Subunit vaccines inducing antibodies against tumor-specific antigens have yet to be clinically successful. Here, we use a supramolecular α-helical peptide nanofiber approach to design epitope-specific vaccines raising simultaneous B cell, CD8+ T cell, and CD4+ T cell responses against combinations of selected epitopes and show that the concurrent induction of these responses generates strong antitumor effects in mice, with significant improvements over antibody or CD8+ T cell-based vaccines alone, in both prophylactic and therapeutic subcutaneous melanoma models. Nanofiber vaccine-induced antibodies mediated in vitro tumoricidal antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP). The addition of immune checkpoint and phagocytosis checkpoint blockade antibodies further improved the therapeutic effect of the nanofiber vaccines against murine melanoma. These findings highlight the potential clinical benefit of vaccine-induced antibody responses for tumor treatments, provided that they are accompanied by simultaneous CD8+ and CD4+ responses, and they illustrate a multiepitope cancer vaccine design approach using supramolecular nanomaterials.
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Affiliation(s)
- Yaoying Wu
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Hanning Wen
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | | | - Kelly M. Hainline
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | - Tykia S. Blakney
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
| | | | - David J. Snyder
- Department of Neurosurgery, Duke University, Durham, NC, USA
| | - John H. Sampson
- Department of Neurosurgery, Duke University, Durham, NC, USA
| | | | - Joel H. Collier
- Department of Biomedical Engineering, Duke University, Durham, NC, USA
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Wan RJ, Bai L, Jiang J, Hu CP, Chen Q, Zhao BR, Zhang Y, Li YY. N6-methyladenosine (m6A) regulator expression pattern correlates with the immune landscape in lung adenocarcinoma. Gene 2022; 836:146639. [PMID: 35700805 DOI: 10.1016/j.gene.2022.146639] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Revised: 05/20/2022] [Accepted: 06/02/2022] [Indexed: 02/07/2023]
Abstract
Lung adenocarcinoma is the leading cause of tumor-related death. The tumor microenvironment (TME) may determine anti-tumor treatment responses. We focused on 23 m6A regulators, and analyzed m6A regulator expression patterns in 995 lung adenocarcinoma samples collected from 7 publicly available datasets. Two m6A clusters were identified, wherein gene clusters and m6A score were generated using unsupervised clustering and principal component analysis based on differentially expressed genes with prognostic significance. Further, three independent datasets from TCGA-LUAD and GEO were employed to validate the impact of m6A signatures and score. We found that m6A cluster 1 with high m6A score was associated with an inflamed TME, higher neoantigen and tumor mutation burden and improved response to immunotherapy. However, anti-tumor immunity cells were exhausted in high m6A score patients; thus, the prognosis of these patients was poor. Elucidation of m6A regulator expression pattern may facilitate the development of effective treatment strategies for lung adenocarcinoma.
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Affiliation(s)
- Rong-Jun Wan
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China; Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Lu Bai
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China; Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Juan Jiang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China; Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Cheng-Ping Hu
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China; Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Qiong Chen
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China; Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Bing-Rong Zhao
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China; Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Yan Zhang
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China; Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
| | - Yuan-Yuan Li
- Department of Respiratory Medicine, National Key Clinical Specialty, Branch of National Clinical Research Center for Respiratory Disease, Xiangya Hospital, Central South University, Changsha, China; Center of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China; Clinical Research Center for Respiratory Diseases in Hunan Province, Changsha, China; Hunan Engineering Research Center for Intelligent Diagnosis and Treatment of Respiratory Disease, Changsha, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China.
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26
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Wang M, Zadeh S, Pizzolla A, Thia K, Gyorki DE, McArthur GA, Scolyer RA, Long G, Wilmott JS, Andrews MC, Au-Yeung G, Weppler A, Sandhu S, Trapani JA, Davis MJ, Neeson PJ. Characterization of the treatment-naive immune microenvironment in melanoma with BRAF mutation. J Immunother Cancer 2022; 10:e004095. [PMID: 35383113 PMCID: PMC8984014 DOI: 10.1136/jitc-2021-004095] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/14/2022] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Patients with BRAF-mutant and wild-type melanoma have different response rates to immune checkpoint blockade therapy. However, the reasons for this remain unknown. To address this issue, we investigated the precise immune composition resulting from BRAF mutation in treatment-naive melanoma to determine whether this may be a driver for different response to immunotherapy. METHODS In this study, we characterized the treatment-naive immune context in patients with BRAF-mutant and BRAF wild-type (BRAF-wt) melanoma using data from single-cell RNA sequencing, bulk RNA sequencing, flow cytometry and immunohistochemistry (IHC). RESULTS In single-cell data, BRAF-mutant melanoma displayed a significantly reduced infiltration of CD8+ T cells and macrophages but also increased B cells, natural killer (NK) cells and NKT cells. We then validated this finding using bulk RNA-seq data from the skin cutaneous melanoma cohort in The Cancer Genome Atlas and deconvoluted the data using seven different algorithms. Interestingly, BRAF-mutant tumors had more CD4+ T cells than BRAF-wt samples in both primary and metastatic cohorts. In the metastatic cohort, BRAF-mutant melanoma demonstrated more B cells but less CD8+ T cell infiltration when compared with BRAF-wt samples. In addition, we further investigated the immune cell infiltrate using flow cytometry and multiplex IHC techniques. We confirmed that BRAF-mutant melanoma metastases were enriched for CD4+ T cells and B cells and had a co-existing decrease in CD8+ T cells. Furthermore, we then identified B cells were associated with a trend for improved survival (p=0.078) in the BRAF-mutant samples and Th2 cells were associated with prolonged survival in the BRAF-wt samples. CONCLUSIONS In conclusion, treatment-naive BRAF-mutant melanoma has a distinct immune context compared with BRAF-wt melanoma, with significantly decreased CD8+ T cells and increased B cells and CD4+ T cells in the tumor microenvironment. These findings indicate that further mechanistic studies are warranted to reveal how this difference in immune context leads to improved outcome to combination immune checkpoint blockade in BRAF-mutant melanoma.
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Affiliation(s)
- Minyu Wang
- Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Soroor Zadeh
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Department of Computing and Information Systems, University of Melbourne VCCC, Parkville, Victoria, Australia
| | - Angela Pizzolla
- Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Kevin Thia
- Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Centre for Cancer Immunotherapy, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - David E Gyorki
- Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Grant A McArthur
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Richard A Scolyer
- The University of Sydney, Melanoma Institute Australia, Sydney, New South Wales, Australia
- Department of Tissue Pathology and Diagnostic Oncology, Royal Prince Alfred Hospital, Camperdown, New South Wales, Australia
| | - Georgina Long
- Melanoma Institute Australia, North Sydney, New South Wales, Australia
- Department of Medical Oncology, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - James S Wilmott
- Melanoma Institute Australia, North Sydney, New South Wales, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Miles C Andrews
- Department of Medicine, Central Clinical School, Monash University, Clayton, Victoria, Australia
| | - George Au-Yeung
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Ali Weppler
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Shahneen Sandhu
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Joseph A Trapani
- Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Melissa J Davis
- Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia
- Department of Computing and Information Systems, University of Melbourne VCCC, Parkville, Victoria, Australia
| | - Paul Joseph Neeson
- Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
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27
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Dyugay IA, Lukyanov DK, Turchaninova MA, Serebrovskaya EO, Bryushkova EA, Zaretsky AR, Khalmurzaev O, Matveev VB, Shugay M, Shelyakin PV, Chudakov DM. Accounting for B-cell Behavior and Sampling Bias Predicts Anti-PD-L1 Response in Bladder Cancer. Cancer Immunol Res 2022; 10:343-353. [PMID: 35013004 PMCID: PMC9381118 DOI: 10.1158/2326-6066.cir-21-0489] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 08/18/2021] [Accepted: 01/06/2022] [Indexed: 01/07/2023]
Abstract
Cancer immunotherapy is predominantly based on T cell-centric approaches. At the same time, the adaptive immune response in the tumor environment also includes clonally produced immunoglobulins and clonal effector/memory B cells that participate in antigen-specific decisions through their interactions with T cells. Here, we investigated the role of infiltrating B cells in bladder cancer via patient dataset analysis of intratumoral immunoglobulin repertoires. We showed that the IgG1/IgA ratio is a prognostic indicator for several subtypes of bladder cancer and for the whole IMVigor210 anti-PD-L1 immunotherapy study cohort. A high IgG1/IgA ratio associated with the prominence of a cytotoxic gene signature, T-cell receptor signaling, and IL21-mediated signaling. Immunoglobulin repertoire analysis indicated that effector B-cell function, rather than clonally produced antibodies, was involved in antitumor responses. From the T-cell side, we normalized a cytotoxic signature against the extent of immune cell infiltration to neutralize the artificial sampling-based variability in immune gene expression. Resulting metrics reflected proportion of cytotoxic cells among tumor-infiltrating immune cells and improved prediction of anti-PD-L1 responses. At the same time, the IgG1/IgA ratio remained an independent prognostic factor. Integration of the B-cell, natural killer cell, and T-cell signatures allowed for the most accurate prediction of anti-PD-L1 therapy responses. On the basis of these findings, we developed a predictor called PRedIctive MolecUlar Signature (PRIMUS), which outperformed PD-L1 expression scores and known gene signatures. Overall, PRIMUS allows for reliable identification of responders among patients with muscle-invasive urothelial carcinoma, including the subcohort with the low-infiltrated "desert" tumor phenotype.
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Affiliation(s)
- Ilya A. Dyugay
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia.,Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
| | - Daniil K. Lukyanov
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia.,Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia
| | - Maria A. Turchaninova
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.,Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Ekaterina O. Serebrovskaya
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.,Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Ekaterina A. Bryushkova
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.,Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia.,Molecular Biology Department, Lomonosov Moscow State University, Moscow, Russia
| | - Andrew R. Zaretsky
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.,Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Oybek Khalmurzaev
- Department of Urology, Federal State Budgetary Institution “N.N. Blokhin National Medical Research Center of Oncology” of the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Vsevolod B. Matveev
- Department of Urology, Federal State Budgetary Institution “N.N. Blokhin National Medical Research Center of Oncology” of the Ministry of Health of the Russian Federation, Moscow, Russia
| | - Mikhail Shugay
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.,Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Pavel V. Shelyakin
- Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.,Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Dmitriy M. Chudakov
- Center of Life Sciences, Skolkovo Institute of Science and Technology, Moscow, Russia.,Genomics of Adaptive Immunity Department, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia.,Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia.,Corresponding Author: Dmitriy M. Chudakov, Genomics of Adaptive Immunity, IBCH RAS, Miklukho-Maklaya, 16/10, Moscow 117997, Russia. Phone: 7 (495) 335-01-00; E-mail:
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Wang X, Wang H, Liu D, Wang N, He D, Wu Z, Zhu X, Wen X, Li X, Li J, Wang Z. Deep learning using bulk RNA-seq data expands cell landscape identification in tumor microenvironment. Oncoimmunology 2022; 11:2043662. [PMID: 35251771 PMCID: PMC8890395 DOI: 10.1080/2162402x.2022.2043662] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Affiliation(s)
- Xin Wang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, China
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin,China
- The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Hongjiu Wang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, China
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin,China
| | - Dan Liu
- The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Na Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin,China
| | - Danni He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin,China
| | - Zheyu Wu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin,China
| | - Xu Zhu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, China
| | - Xiaoling Wen
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, China
| | - Xuhua Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, China
| | - Jin Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, China
| | - Zhenzhen Wang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Medical University, Haikou, China
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin,China
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29
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Unraveling the Expression Patterns of Immune Checkpoints Identifies New Subtypes and Emerging Therapeutic Indicators in Lung Adenocarcinoma. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:3583985. [PMID: 35178154 PMCID: PMC8843963 DOI: 10.1155/2022/3583985] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 01/06/2022] [Indexed: 12/16/2022]
Abstract
Immune checkpoint genes (ICGs) play pivotal roles in tumor immune microenvironment (TIME), and thus, targeting them represents a promising strategy for cancer immunotherapy. However, the genetic landscape of ICGs in lung adenocarcinoma (LUAD) is still unknown. Herein, we comprehensively evaluated the ICG expression profiles of 1439 LUAD samples and linked ICG expression patterns with infiltration of immune cells, clinical features, and response to immune checkpoint blockade (ICB). The ICGscore was developed to quantify ICG expression patterns of individual patient by principal component analysis algorithms. Three distinct ICG expression patterns and three ICG-related genomic clusters were determined, which were implicated in different clinical outcomes, level of immune infiltrates, and biological process. LUAD patients were subdivided into high- and low-ICGscore subgroups. Patients with higher ICGscore were characterized by favorable survival outcomes, increased immune cell infiltration, and enhanced expression of ICGs. Further analysis revealed that lower ICGscore was associated with greater tumor mutation loads and higher mutation rates of TTN, KEAP1, and ZFHX4. High ICGscore has the potential to be a robust indicator in clinical benefit of immunotherapy. Taken together, unraveling the ICG expression patterns will advance our understanding of heterogeneity of TIME and guides more effective immunotherapeutic strategies in LUAD.
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30
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Lue JK, Downs-Canner S, Chaudhuri J. The role of B cells in the development, progression, and treatment of lymphomas and solid tumors. Adv Immunol 2022; 154:71-117. [PMID: 36038195 DOI: 10.1016/bs.ai.2022.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
B cells are integral components of the mammalian immune response as they have the ability to generate antibodies against an almost infinite array of antigens. Over the past several decades, significant scientific progress has been made in understanding that this enormous B cell diversity contributes to pathogen clearance. However, our understanding of the humoral response to solid tumors and to tumor-specific antigens is unclear. In this review, we first discuss how B cells interact with other cells in the tumor microenvironment and influence the development and progression of various solid tumors. The ability of B lymphocytes to generate antibodies against a diverse repertoire of antigens and subsequently tailor the humoral immune response to specific pathogens relies on their ability to undergo genomic alterations during their development and differentiation. We will discuss key transforming events that lead to the development of B cell lymphomas. Overall, this review provides a foundation for innovative therapeutic interventions for both lymphoma and solid tumor malignancies.
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Affiliation(s)
- Jennifer K Lue
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
| | - Stephanie Downs-Canner
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
| | - Jayanta Chaudhuri
- Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
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31
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Zhong Z, Nan K, Weng M, Yue Y, Zhou W, Wang Z, Chu Y, Liu R, Miao C. Pro- and Anti- Effects of Immunoglobulin A- Producing B Cell in Tumors and Its Triggers. Front Immunol 2021; 12:765044. [PMID: 34868013 PMCID: PMC8640120 DOI: 10.3389/fimmu.2021.765044] [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: 08/26/2021] [Accepted: 11/01/2021] [Indexed: 12/18/2022] Open
Abstract
B cells are well known as key mediators of humoral immune responses via the production of antibodies. Immunoglobulin A (IgA) is the most abundantly produced antibody isotype and provides the first line of immune protection at mucosal surfaces. However, IgA has long been a divisive molecule with respect to tumor progression. IgA exerts anti- or pro-tumor effect in different tumor types. In this review, we summarize emerging evidence regarding the production and effects of IgA and IgA+ cells in the tumor microenvironment (TME). Moreover, we discuss that the TME cytokines, host diet, microbiome, and metabolites play a pivotal role in controlling the class-switch recombination (CSR) of IgA. The analysis of intratumoral Ig repertoires and determination of metabolites that influence CSR may help establish novel therapeutic targets for the treatment of cancers.
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Affiliation(s)
- Ziwen Zhong
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.,Department of Anesthesiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China
| | - Ke Nan
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Meilin Weng
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Ying Yue
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wenchang Zhou
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhiqiang Wang
- Department of Immunology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Yiwei Chu
- Department of Immunology, School of Basic Medical Sciences, Fudan University, Shanghai, China.,Shanghai Fifth People's Hospital and Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Ronghua Liu
- Shanghai Fifth People's Hospital and Key Laboratory of Medical Epigenetics and Metabolism, Institutes of Biomedical Sciences, Fudan University, Shanghai, China
| | - Changhong Miao
- Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China
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32
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Hua M, Liu J, Du P, Liu X, Li M, Wang H, Chen C, Xu X, Jiang Y, Wang Y, Zeng H, Li A. The novel outer membrane protein from OprD/Occ family is associated with hypervirulence of carbapenem resistant Acinetobacter baumannii ST2/KL22. Virulence 2021; 12:1-11. [PMID: 33258407 PMCID: PMC7781578 DOI: 10.1080/21505594.2020.1856560] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Revised: 11/16/2020] [Accepted: 11/18/2020] [Indexed: 01/04/2023] Open
Abstract
Acinetobacter baumannii has become a major healthcare threat that causes nosocomial infections, especially in critically ill patients. The spread of carbapenem-resistant A. baumannii (CRAB) strains has long been a clinical concern. It is important to study the epidemiology and virulence characteristics of different CRAB isolates in order to tailor infection prevention and antibiotic prescribing. In this study, a total of 71 CRAB isolates were collected in the hospital, and clinical characteristics of infections were analyzed. The genomic characteristics and phylogenetic relationships were elucidated based on genome sequencing and analysis. The isolates were assigned to three sequence types (STs, Pasteur) and nine capsular polysaccharide (KL) types, among which ST2/KL22 was the most prevalent CRAB in the hospital. Even though all the ST2/KL22 isolates contained the same reported virulence genes, one specific clade of ST2/KL22 showed more pathogenic in mouse infection model. Complete genomic analysis revealed differences at the oprD locus between the low- and high-virulent isolates. More specifically, a premature stop codon in the low-virulence strains resulted in truncated OprD expression. By evaluating pathogenicity in C57BL/6 J mice, knock-out of oprD in high-virulent isolate resulted in virulence attenuation, and complementing the avirulent strain with full-length oprD from high-virulent isolate enhanced virulence of the former. The oprD gene may be associated with the enhanced virulence of the specific ST2/KL22 clone, which provides a potential molecular marker for screening the hypervirulent A. baumannii strains.
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Affiliation(s)
- Mingxi Hua
- Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing
| | - Jingyuan Liu
- Department of Critical Care Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing
| | - Pengcheng Du
- Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing
- Beijing Key Laboratory of Emerging Infectious Diseases, Beijing
| | - Xinzhe Liu
- Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing
- Beijing Key Laboratory of Emerging Infectious Diseases, Beijing
| | - Min Li
- Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Huizhu Wang
- Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Chen Chen
- Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing
- Beijing Key Laboratory of Emerging Infectious Diseases, Beijing
| | - Xinmin Xu
- Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Yu Jiang
- Department of Stomatology, Beijing Children’s Hospital, Capital Medical University, Beijing
| | - Yajie Wang
- Clinical Laboratory, Beijing Ditan Hospital, Capital Medical University, Beijing, China
| | - Hui Zeng
- Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing
- Beijing Key Laboratory of Emerging Infectious Diseases, Beijing
| | - Ang Li
- Department of Critical Care Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing
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33
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Kim SS, Sumner WA, Miyauchi S, Cohen EEW, Califano JA, Sharabi AB. Role of B Cells in Responses to Checkpoint Blockade Immunotherapy and Overall Survival of Cancer Patients. Clin Cancer Res 2021; 27:6075-6082. [PMID: 34230025 PMCID: PMC8976464 DOI: 10.1158/1078-0432.ccr-21-0697] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 04/22/2021] [Accepted: 06/07/2021] [Indexed: 11/16/2022]
Abstract
The role of B cells in the tumor microenvironment and B-cell-mediated antitumor immune responses remains relatively understudied. Recent seminal studies have discovered that B cells and associated tertiary lymphoid structures correlate with responses to checkpoint blockade immunotherapy and are prognostic for overall survival of cancer patients. B-cell subsets have remarkable functional diversity and include professional antigen-presenting cells, regulatory cells, memory populations, and antibody-producing plasma cells. Importantly, secreted antibodies can independently activate innate immune responses and induce the cancer immunity cycle. Thus, B cells and B-cell-mediated antibody responses comprise the largely underappreciated second arm of the adaptive immune system and certainly deserve further attention in the field of oncology. Here, we review the known functions of B cells in the tumor microenvironment, the contribution of B cells to the antitumor activity of immunotherapies, and the role of B cells in the overall survival of cancer patients.
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Affiliation(s)
- Sangwoo S Kim
- Department of Radiation Medicine and Applied Sciences, Moores Cancer Center, University of California, San Diego, California
| | - Whitney A Sumner
- Department of Radiation Medicine and Applied Sciences, Moores Cancer Center, University of California, San Diego, California
| | - Sayuri Miyauchi
- Department of Radiation Medicine and Applied Sciences, Moores Cancer Center, University of California, San Diego, California
| | - Ezra E W Cohen
- Department of Medicine, Division of Hematology-Oncology, University of California, San Diego, California
| | - Joseph A Califano
- Department of Radiation Medicine and Applied Sciences, Moores Cancer Center, University of California, San Diego, California
- Department of Surgery, Division of Otolaryngology, University of California, San Diego, California
| | - Andrew B Sharabi
- Department of Radiation Medicine and Applied Sciences, Moores Cancer Center, University of California, San Diego, California.
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34
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Construction and validation of a novel immune and tumor mutation burden-based prognostic model in lung adenocarcinoma. Cancer Immunol Immunother 2021; 71:1183-1197. [PMID: 34635925 DOI: 10.1007/s00262-021-03066-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 09/22/2021] [Indexed: 12/17/2022]
Abstract
Lung adenocarcinoma (LUAD), the most common type of cancer, is hard to diagnose and has an unfavorable prognosis. Tumor mutation burden (TMB) is a useful predictor and can also determine the efficacy of immunotherapy in various cancers. The present study focused on unraveling the association between immune infiltration and TMB and developing an immune- and TMB-related prognostic model to predict LUAD patients' prognosis. The results revealed that the immune-related prognostic model (IPM) based on TMB was capable of classifying LUAD patients in all cohorts into different risk groups. The IPM was useful and had a significant correlation with LUAD patients' overall survival (OS). Based on the multivariate Cox analysis results, the IPM was proved to be an independent predictive biomarker. Furthermore, the five hub genes and the immune-related model were related to different immune infiltrating cells. The IPM was related to immune checkpoints. At last, an effective nomogram was established to predict LUAD patients' prognosis. To conclude, our IPM is effective in predicting LUAD patients' prognosis and provides novel insights into immunotherapy for LUAD.
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35
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Gu S, Qian L, Zhang Y, Chen K, Li Y, Wang J, Wang P. Significance of intratumoral infiltration of B cells in cancer immunotherapy: From a single cell perspective. Biochim Biophys Acta Rev Cancer 2021; 1876:188632. [PMID: 34626740 DOI: 10.1016/j.bbcan.2021.188632] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 09/15/2021] [Accepted: 09/30/2021] [Indexed: 12/12/2022]
Abstract
Immunotherapy for cancer has provided new treatment approaches for malignant tumors, but there are low rates of response and high rates of resistance. The most recent sequencing method which is called single-cell RNA sequencing(scRNA-seq) determines the transcriptome at the single cell level, which allows high-resolution dynamic monitoring of the tumor microenvironment (TME) during immunotherapy. As an important part of humoral immunity, tumor-infiltrated B cells have been reported to have distinct functions in anti-tumor immunity, which are characterized by their RNA transcriptome, membrane surface receptors, and immunoglobulin secretion, suggesting great immunotherapeutic effects. On the basis of the important roles of B cells in immunotherapy reported in recent publications, we discuss the tumor-infiltrated B cells' subpopulations, differentiation trajectory, and interactions with other cells in the TME in this review, hoping to illustrate its significance in potential clinical application as biomarkers and therapeutic targets.
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Affiliation(s)
- Sijia Gu
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Ling Qian
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yalei Zhang
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Kun Chen
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Ye Li
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Jia Wang
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Peng Wang
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.
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36
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Zhao H, Wang H, Zhou Q, Ren X. Insights into tertiary lymphoid structures in the solid tumor microenvironment: anti-tumor mechanism, functional regulation, and immunotherapeutic strategies. Cancer Biol Med 2021; 18:j.issn.2095-3941.2021.0029. [PMID: 34553849 PMCID: PMC8610165 DOI: 10.20892/j.issn.2095-3941.2021.0029] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 06/08/2021] [Indexed: 11/11/2022] Open
Abstract
Tertiary lymphoid structures (TLSs) are ectopic immune cell aggregations that develop in peripheral tissues in response to a wide range of chronic inflammatory conditions, including infection, autoimmune disease, and cancer. In the tumor microenvironment (TME), the structures of TLSs, including B-cell- and T-cell-enriched areas indicate that the TLSs might be the local site during the initiation and maintenance of humoral and cellular immune responses against cancers. Numerous studies have evaluated the expression of TLSs in different cancer patients and their association with prognoses of cancer patients. It was shown that well-developed TLSs characterized by mature B cells synthesized tumor specific antibodies, which were considered as specific markers for a good prognosis. However, there are still some immunosuppressive factors existing in the TLSs that may affect anti-tumor responses. These factors include dysfunctional B cells, regulatory T cells, and T follicular regulatory cells. The complexity and heterogeneity of the TLS composition may affect the function and activity of TLSs; it is therefore essential to fully understand the function and influencing factors in TLSs. It has been reported that checkpoint inhibitors and vaccines are currently being developed to reprogram the TME by establishing mature TLSs to improve cancer immunotherapies. In this review, we focused on recent advances in TLSs in human solid tumors, including structural characteristics and classes, antitumor mechanisms, immunosuppressive factors, and TLS-based therapeutic approaches.
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Affiliation(s)
- Hua Zhao
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
| | - Hao Wang
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
| | - Qiuru Zhou
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
| | - Xiubao Ren
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
- Department of Biotherapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Immunology and Biotherapy, Tianjin 300060, China
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37
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Liu L, Yang Y, Yu D. Identification of key miRNAs and their targets in peripheral blood mononuclear cells of IgA nephropathy using bioinformatics analysis. Medicine (Baltimore) 2021; 100:e26495. [PMID: 34190177 PMCID: PMC8257889 DOI: 10.1097/md.0000000000026495] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 06/09/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Currently, renal biopsy is the gold standard for clinical diagnosis and evaluation the degrees of IgA nephropathy. However, renal biopsy is an invasive examination and not suitable for long-term follow-up IgA nephropathy. The activation of peripheral blood mononuclear cells (PBMCs) are related to IgA nephropathy, but the key molecular marker and target of PBMCs for evaluating the progression and prognosis of IgA nephropathy is still unclear. METHODS We downloaded gene expression omnibus series 25590 (GSE25590) datasets, of which PBMCs from IgA nephrology (IgAN) and healthy patients, from the gene expression omnibus (GEO) database. Differentially expressed miRNAs (DEMs) between IgAN and healthy patients were identified. The Funrich software was used to predict the differentially expressed genes (DEGs). Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) analyzes of overlapping genes were analyzed at the function level on DAVID 6.8. We used search Tool for the retrieval of interacting genes (STRING) online database constructed the protein-protein interaction (PPI) network. Then we further analyzed the hub genes by Cytoscape software and the hub miRNA by TargetScan. RESULTS We identified 418 DEMs from the GSE25590 datasets. The upstream transcription factors SP1 regulates most DEMs. According to the GO and KEGG results, the DEGs were enriched in the MAPK signaling pathway and small GTPase mediated signal transduction. SYN1, SYT4, RBFOX1, KCNC1, VAMP2, FBXO11, ASB9, SYT9, KLHL5, and KRAS were identified as hub genes. Hsa-miR-532-5p, hsa-miR-92a, hsa-miR-328, hsa-miR-137, hsa-miR-153, hsa-miR-9-5p, hsa-miR-140-5p, hsa-miR-217, hsa-miR-155, and hsa-miR-212 were predicted as hub miRNAs. CONCLUSIONS The DEMs and DEGs re-analysis provided potential key genes and hub miRNA of PMBCs, which may help to monitor the happening and prognosis of IgAN.
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38
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Fan T, Lu Z, Liu Y, Wang L, Tian H, Zheng Y, Zheng B, Xue L, Tan F, Xue Q, Gao S, Li C, He J. A Novel Immune-Related Seventeen-Gene Signature for Predicting Early Stage Lung Squamous Cell Carcinoma Prognosis. Front Immunol 2021; 12:665407. [PMID: 34177903 PMCID: PMC8226174 DOI: 10.3389/fimmu.2021.665407] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 05/21/2021] [Indexed: 12/15/2022] Open
Abstract
With the increasingly early stage lung squamous cell carcinoma (LUSC) being discovered, there is an urgent need for a comprehensive analysis of the prognostic characteristics of early stage LUSC. Here, we developed an immune-related gene signature for outcome prediction of early stage LUSC based on three independent cohorts. Differentially expressed genes (DEGs) were identified using CIBERSORT and ESTMATE algorithm. Then, a 17-immune-related gene (RPRM, APOH, SSX1, MSGN1, HPR, ISM2, FGA, LBP, HAS1, CSF2, RETN, CCL2, CCL21, MMP19, PTGIS, F13A1, C1QTNF1) signature was identified using univariate Cox regression, LASSO regression and stepwise multivariable Cox analysis based on the verified DEGs from 401 cases in The Cancer Genome Atlas (TCGA) database. Subsequently, a cohort of GSE74777 containing 107 cases downloaded from Gene Expression Omnibus (GEO) database and an independent data set consisting of 36 frozen tissues collected from National Cancer Center were used to validate the predictive value of the signature. Seventeen immune-related genes were identified from TCGA cohort, which were further used to establish a classification system to construct cases into high- and low-risk groups in terms of overall survival. This classifier was still an independent prognostic factor in multivariate analysis. In addition, another two independent cohorts and different clinical subgroups validated the significant predictive value of the signature. Further mechanism research found early stage LUSC patients with high risk had special immune cell infiltration characteristics and gene mutation profiles. In conclusion, we characterized the tumor microenvironment and established a highly predictive model for evaluating the prognosis of early stage LUSC, which may provide a lead for effective immunotherapeutic options tailored for each subtype.
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Affiliation(s)
- Tao Fan
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.,Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhiliang Lu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Liu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liyu Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - He Tian
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yujia Zheng
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Zheng
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Liyan Xue
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fengwei Tan
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qi Xue
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shugeng Gao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chunxiang Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jie He
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.,Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Kinker GS, Vitiello GAF, Ferreira WAS, Chaves AS, Cordeiro de Lima VC, Medina TDS. B Cell Orchestration of Anti-tumor Immune Responses: A Matter of Cell Localization and Communication. Front Cell Dev Biol 2021; 9:678127. [PMID: 34164398 PMCID: PMC8215448 DOI: 10.3389/fcell.2021.678127] [Citation(s) in RCA: 65] [Impact Index Per Article: 21.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Accepted: 04/27/2021] [Indexed: 01/06/2023] Open
Abstract
The immune system plays a crucial role in cancer development either by fostering tumor growth or destroying tumor cells, which has open new avenues for cancer immunotherapy. It was only over the last decade that the role of B cells in controlling anti-tumor immune responses in the tumor milieu has begun to be appreciated. B and plasma cells can exert anti-tumor effects through antibody-dependent cell cytotoxicity (ADCC) and activation of the complement cascade, even though their effector functions extend beyond the classical humoral immunity. In tumor tissues, B cells can be found in lymphoid aggregates, known as tertiary lymphoid structures (TLSs), well-organized non-encapsulated structures composed of immune and stromal cells. These structures reflect a process of lymphoid neogenesis occurring in peripheral tissues upon long-lasting exposure to inflammatory signals. The TLS provides an area of intense B cell antigen presentation that can lead to optimal T cell activation and effector functions, as well as the generation of effector B cells, which can be further differentiated in either antibody-secreting plasma cells or memory B cells. Of clinical interest, the crosstalk between B cells and antigen-experienced and exhausted CD8+ T cells within mature TLS was recently associated with improved response to immune checkpoint blockade (ICB) in melanoma, sarcoma and lung cancer. Otherwise, B cells sparsely distributed in the tumor microenvironment or organized in immature TLSs were found to exert immune-regulatory functions, inhibiting anti-tumor immunity through the secretion of anti-inflammatory cytokines. Such phenotype might arise when B cells interact with malignant cells rather than T and dendritic cells. Differences in the spatial distribution likely underlie discrepancies between the role of B cells inferred from human samples or mouse models. Many fast-growing orthotopic tumors develop a malignant cell-rich bulk with reduced stroma and are devoid of TLSs, which highlights the importance of carefully selecting pre-clinical models. In summary, strategies that promote TLS formation in close proximity to tumor cells are likely to favor immunotherapy responses. Here, the cellular and molecular programs coordinating B cell development, activation and organization within TLSs will be reviewed, focusing on their translational relevance to cancer immunotherapy.
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Affiliation(s)
- Gabriela Sarti Kinker
- Translational Immuno-oncology Group, International Research Center, A.C. Camargo Cancer Center, São Paulo, Brazil
| | - Glauco Akelinghton Freire Vitiello
- Translational Immuno-oncology Group, International Research Center, A.C. Camargo Cancer Center, São Paulo, Brazil
- Department of Pathological Sciences, Londrina State University, Londrina, Brazil
| | - Wallax Augusto Silva Ferreira
- Translational Immuno-oncology Group, International Research Center, A.C. Camargo Cancer Center, São Paulo, Brazil
- Laboratory of Tissue Culture and Cytogenetics, Environment Section (SAMAM), Evandro Chagas Institute, Ananindeua, Brazil
| | - Alexandre Silva Chaves
- Translational Immuno-oncology Group, International Research Center, A.C. Camargo Cancer Center, São Paulo, Brazil
| | | | - Tiago da Silva Medina
- Translational Immuno-oncology Group, International Research Center, A.C. Camargo Cancer Center, São Paulo, Brazil
- National Institute of Science and Technology in Oncogenomics and Therapeutic Innovation, São Paulo, Brazil
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40
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Leong TL, Bryant VL. B cells in lung cancer-not just a bystander cell: a literature review. Transl Lung Cancer Res 2021; 10:2830-2841. [PMID: 34295681 PMCID: PMC8264333 DOI: 10.21037/tlcr-20-788] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 01/19/2021] [Indexed: 01/08/2023]
Abstract
Metastatic lung cancer represents a significant global issue where it is responsible for the most cancer diagnoses and deaths worldwide. Treatment for advanced lung cancer has undergone a series of paradigm shifts from chemotherapy to targeted molecular agents to the most recent immunotherapy strategies. The most successful of the latter involves antibodies that block inhibitory receptors on tumor infiltrating T cells, thereby enhancing T cell activity against tumor cells. However, only a subset of patients demonstrate durable responses to these drugs and treatment resistance is common. Emerging evidence suggests that a critical role exists for B cells as more than a bystander immune cell in the tumor microenvironment (TME). However, this role is likely context-specific where B cells comprise distinct subtypes with unique effector functions that may result in anti- or pro-tumor effects. As such, the balance between various B cell subtypes affects the net B cell impact upon tumor immunity. To date, the factors needed to polarize B cell function toward anti-tumor activity are unclear. Understanding B cell biology in the lung cancer setting will help redefine and refine treatment strategies to augment anti-tumor immunity. This article presents a review of the literature describing the current knowledge of the development and function of B cells, and explores their role in lung cancer and potential as an immunotherapeutic strategy and as a predictive marker for response to immune checkpoint blockade.
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Affiliation(s)
- Tracy L Leong
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Department of Respiratory and Sleep Medicine, Austin Health, Heidelberg, Victoria, Australia
- Institute of Breathing and Sleep, Heidelberg, Victoria, Australia
- Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia
| | - Vanessa L Bryant
- The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
- Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Parkville, Victoria, Australia
- Department of Allergy and Clinical Immunology, Royal Melbourne Hospital, Parkville, Victoria, Australia
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41
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Yang J, Zhao S, Wang J, Sheng Q, Liu Q, Shyr Y. Immu-Mela: An open resource for exploring immunotherapy-related multidimensional genomic profiles in melanoma. J Genet Genomics 2021; 48:361-368. [PMID: 34127402 PMCID: PMC8349898 DOI: 10.1016/j.jgg.2021.03.016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Revised: 03/15/2021] [Accepted: 03/17/2021] [Indexed: 11/22/2022]
Abstract
There are increasing studies aimed to reveal genomic hallmarks predictive of immune checkpoint blockade (ICB) treatment response, which generated a large number of data and provided an unprecedented opportunity to identify response-related features and evaluate their robustness across cohorts. However, those valuable data sets are not easily accessible to the research community. To take full advantage of existing large-scale immuno-genomic profiles, we developed Immu-Mela (http://bioinfo.vanderbilt.edu/database/Immu-Mela/), a multidimensional immuno-genomic portal that provides interactive exploration of associations between ICB responsiveness and multi-omics features in melanoma, including genetic, transcriptomics, immune cells, and single-cell populations. Immu-Mela also enables integrative analysis of any two genomic features. We demonstrated the value of Immu-Mela by identifying known and novel genomic features associated with ICB response. In addition, Immu-Mela allows users to upload their data sets (unrestricted to any cancer types) and co-analyze with existing data to identify and validate signatures of interest. Immu-Mela reduces barriers between researchers and complex genomic data, facilitating discoveries in cancer immunotherapy.
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Affiliation(s)
- Jing Yang
- Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN 37203, USA
| | - Shilin Zhao
- Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN 37203, USA
| | - Jing Wang
- Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN 37203, USA
| | - Quanhu Sheng
- Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN 37203, USA
| | - Qi Liu
- Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN 37203, USA.
| | - Yu Shyr
- Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville TN 37203, USA; Department of Biostatistics, Vanderbilt University Medical Center, Nashville TN 37203, USA.
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Kanikarla Marie P, Haymaker C, Parra ER, Kim YU, Lazcano R, Gite S, Lorenzini D, Wistuba II, Tidwell RSS, Song X, Foo WC, Maru DM, Chun YS, Futreal A, Kee B, Menter D, Solis L, Tzeng CW, Parseghian C, Raghav K, Morris V, Chang CC, Jenq R, Tam A, Bernatchez C, Kopetz S, Vauthey JN, Overman MJ. Pilot Clinical Trial of Perioperative Durvalumab and Tremelimumab in the Treatment of Resectable Colorectal Cancer Liver Metastases. Clin Cancer Res 2021; 27:3039-3049. [PMID: 33811152 DOI: 10.1158/1078-0432.ccr-21-0163] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 03/11/2021] [Accepted: 03/30/2021] [Indexed: 12/13/2022]
Abstract
PURPOSE Despite the prognostic importance of immune infiltrate in colorectal cancer, immunotherapy has demonstrated limited clinical activity in refractory metastatic proficient mismatch-repair (pMMR) colorectal cancer. This study explores combining anti-CTLA-4 and an anti-PD-L1 therapy in the preoperative management of resectable colorectal cancer liver metastases with the intent to improve immune responses in this disease setting. PATIENTS AND METHODS Patients with resectable colorectal cancer liver-only metastases received one dose of tremelimumab and durvalumab preoperatively followed by single-agent durvalumab postoperatively. Primary objectives were to determine feasibility and safety. RESULTS A total of 24 patients were enrolled between November 2016 and November 2019. Twenty-three patients received treatment [21 pMMR and 2 deficient mismatch-repair (dMMR)] and subsequently 17 (74%; 95% CI: 53%-88%) underwent surgical resection. Grade 3/4 treatment-related immune toxicity and postoperative grade 3/4 toxicity were seen in 5/23 (22%; 95% CI: 10%-44%) and 2/17 (12%; 95% CI: 2%-38%) patients. The median relapse-free survival (RFS) was 9.7 (95% CI: 8.1-17.8) months, and overall survival was 24.5 (95% CI: 16.5-28.4) months. Four patients demonstrated complete pathologic response, two dMMR patients and two POLE mutation patients. Pre- and post-tumor tissue analysis by flow cytometry, immunofluorescence, and RNA sequencing revealed similar levels of T-cell infiltration, but did demonstrate evidence of CD8+ and CD4+ activation posttreatment. An increase in B-cell transcriptome signature and B-cell density was present in posttreatment samples from patients with prolonged RFS. CONCLUSIONS This study demonstrates the safety of neoadjuvant combination tremelimumab and durvalumab prior to colorectal cancer liver resection. Evidence for T- and B-cell activation following this therapy was seen in pMMR metastatic colorectal cancer.
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Affiliation(s)
- Preeti Kanikarla Marie
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Cara Haymaker
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Edwin Roger Parra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Young Uk Kim
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rossana Lazcano
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Swati Gite
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Daniele Lorenzini
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rebecca S Slack Tidwell
- Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xiaofei Song
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Wai Chin Foo
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Dipen M Maru
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Yun Shin Chun
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Andy Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Bryan Kee
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - David Menter
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Luisa Solis
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ching-Wei Tzeng
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Christine Parseghian
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Kanwal Raghav
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Van Morris
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chia-Chi Chang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Robert Jenq
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Alda Tam
- Department of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Chantale Bernatchez
- Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Jean-Nicolas Vauthey
- Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Michael J Overman
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
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N J, J T, Sl N, Gt B. Tertiary lymphoid structures and B lymphocytes in cancer prognosis and response to immunotherapies. Oncoimmunology 2021; 10:1900508. [PMID: 33854820 PMCID: PMC8018489 DOI: 10.1080/2162402x.2021.1900508] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Tertiary lymphoid structures (TLS) are ectopic cellular aggregates that resemble secondary lymphoid organs in their composition and structural organization. In contrast to secondary lymphoid organs, TLS are not imprinted during embryogenesis but are formed in non-lymphoid tissues in response to local inflammation. TLS structures exhibiting a variable degree of maturation are found in solid tumors. They are composed of various immune cell types including dendritic cells and antigen-specific B and T lymphocytes, that together, actively drive the immune response against tumor development and progression. This review highlights the successive steps leading to tumor TLS formation and its association with clinical outcomes. We discuss the role played by tumor-infiltrating B lymphocytes and plasma cells, their prognostic value in solid tumors and immunotherapeutic responses and their potential for future targeting.
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Affiliation(s)
- Jacquelot N
- Immunology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.,Department of Medical Biology, University of Melbourne, Parkville, Australia
| | - Tellier J
- Immunology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.,Department of Medical Biology, University of Melbourne, Parkville, Australia
| | - Nutt Sl
- Immunology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.,Department of Medical Biology, University of Melbourne, Parkville, Australia
| | - Belz Gt
- Immunology Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Australia.,Department of Medical Biology, University of Melbourne, Parkville, Australia.,The University of Queensland Diamantina Institute, the University of Queensland, Brisbane, Australia
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J Gunderson A, Rajamanickam V, Bui C, Bernard B, Pucilowska J, Ballesteros-Merino C, Schmidt M, McCarty K, Philips M, Piening B, Dubay C, Medler T, Newell P, Hansen P, Tran E, Tang E, Bifulco C, Crittenden M, Gough M, Young KH. Germinal center reactions in tertiary lymphoid structures associate with neoantigen burden, humoral immunity and long-term survivorship in pancreatic cancer. Oncoimmunology 2021; 10:1900635. [PMID: 33796412 PMCID: PMC7993148 DOI: 10.1080/2162402x.2021.1900635] [Citation(s) in RCA: 78] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) has traditionally been thought of as an immunologically quiescent tumor type presumably because of a relatively low tumor mutational burden (TMB) and poor responses to checkpoint blockade therapy. However, many PDAC tumors exhibit T cell inflamed phenotypes. The presence of tertiary lymphoid structures (TLS) has recently been shown to be predictive of checkpoint blockade response in melanomas and sarcomas, and are prognostic for survival in PDAC. In order to more comprehensively understand tumor immunity in PDAC patients with TLS, we performed RNA-seq, single and multiplex IHC, flow cytometry and predictive genomic analysis on treatment naïve, PDAC surgical specimens. Forty-six percent of tumors contained distinct T and B cell aggregates reflective of “early-stage TLS” (ES-TLS), which correlated with longer overall and progression-free survival. These tumors had greater CD8+ T cell infiltration but were not defined by previously published TLS gene-expression signatures. ES-TLS+ tumors were enriched for IgG1 class-switched memory B cells and memory CD4+ T cells, suggesting durable immunological memory persisted in these patients. We also observed the presence of active germinal centers (mature-TLS) in 31% of tumors with lymphocyte clusters, whose patients had long-term survival (median 56 months). M-TLS-positive tumors had equivalent overall T cell infiltration to ES-TLS, but were enriched for activated CD4+ memory cells, naive B cells and NK cells. Finally, using a TCGA-PDAC dataset, ES-TLS+ tumors harbored a decreased TMB, but M-TLS with germinal centers expressed significantly more MHCI-restricted neoantigens as determined by an in silico neoantigen prediction method. Interestingly, M-TLS+ tumors also had evidence of increased rates of B cell somatic hypermutation, suggesting that germinal centers form in the presence of high-quality tumor neoantigens leading to increased humoral immunity that confers improved survival for PDAC patients. AbbreviationsTLS: tertiary lymphoid structures; GC: germinal center(s); PDAC: pancreatic ductal adenocarcinoma; RNA-seq: RNA sequencing; BCRseq: B cell receptor sequencing; HEV: high endothelial venule; PNAd: peripheral node addressin; TMB: tumor mutational burden; TCGA: the cancer genome atlas; PAAD: pancreatic adenocarcinoma; FFPE: formalin fixed paraffin embedded; TIME: tumor immune microenvironment.
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Affiliation(s)
- Andrew J Gunderson
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Venkatesh Rajamanickam
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Cynthia Bui
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Brady Bernard
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States.,Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, United States.,Gastrointestinal & Minimally Invasive Surgery, The Oregon Clinic, Portland, Oregon, United States.,Radiation Oncology, The Oregon Clinic, Portland, Oregon, United States
| | - Joanna Pucilowska
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States.,Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, United States
| | - Carmen Ballesteros-Merino
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Mark Schmidt
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Kayla McCarty
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Michaela Philips
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Brian Piening
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Christopher Dubay
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Terry Medler
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Phillipa Newell
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States.,Gastrointestinal & Minimally Invasive Surgery, The Oregon Clinic, Portland, Oregon, United States
| | - Paul Hansen
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States.,Gastrointestinal & Minimally Invasive Surgery, The Oregon Clinic, Portland, Oregon, United States
| | - Eric Tran
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Ephraim Tang
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States.,Gastrointestinal & Minimally Invasive Surgery, The Oregon Clinic, Portland, Oregon, United States
| | - Carlo Bifulco
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Marka Crittenden
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States.,Radiation Oncology, The Oregon Clinic, Portland, Oregon, United States
| | - Michael Gough
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States
| | - Kristina H Young
- Earle A. Chiles Research Institute, Robert W. Franz Cancer Center, Providence Cancer Institute, Portland, Oregon, United States.,Radiation Oncology, The Oregon Clinic, Portland, Oregon, United States
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A comprehensive analysis of tumor microenvironment-related genes in colon cancer. Clin Transl Oncol 2021; 23:1769-1781. [PMID: 33689097 DOI: 10.1007/s12094-021-02578-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 02/23/2021] [Indexed: 12/19/2022]
Abstract
BACKGROUND The development and progression of colon cancer are significantly affected by the tumor microenvironment, which has attracted much attention. The goal of our study was primarily to find out all possible tumor microenvironment-related genes in colon cancer. METHOD This study quantified the immune and stromal landscape using the ESTIMATION algorithm using the gene expression matrix obtained from the UCSC Xena database. Dysregulated genes were harvested using the limma R package, and relevant pathways and biofunctions were identified using enrichment analysis. A least absolute shrinkage and selection operator (LASSO) regression was used to select the pivotal genes from the DEGs. Then, survival analysis was performed to determine the hub genes and a prognostic model was constructed by these hub genes with (or) TNM stage. Besides, associations between hub gene expressions and immune cell infiltration were assessed. RESULTS A total of 725 DEGs were identified. Most of the results of the enrichment analysis were immune-related items. 13 genes were selected as the hub genes and a moderate-to-strong positive correlation between most hub genes and several immune cells were observed. Besides, the prognostic value of the hub genes were comparable to TNM staging. CONCLUSIONS Our study provides a better understanding of how interactions between the 13 immune-prognostic hub genes and immune cells in the tumor microenvironment affect biological processes in colon cancer. These genes exhibit an equivalent ability to TNM staging in prognosis prediction. They are particularly expected to become novel prognostic biomarkers and targets of immunotherapies for colon cancer.
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46
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Ma Q, Chen Y, Xiao F, Hao Y, Song Z, Zhang J, Okuda K, Um SW, Silva M, Shimada Y, Si C, Liang C. A signature of estimate-stromal-immune score-based genes associated with the prognosis of lung adenocarcinoma. Transl Lung Cancer Res 2021; 10:1484-1500. [PMID: 33889524 PMCID: PMC8044489 DOI: 10.21037/tlcr-21-223] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Background Immune and stromal component evaluation is necessary to establish accurate prognostic markers for the prediction of clinical outcomes in lung adenocarcinoma (LUAD). We aimed to develop a gene signature based on the Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE)-stromal-immune score in LUAD. Methods The transcriptomic profiles of patients with LUAD were obtained from The Cancer Genome Atlas (TCGA), and the immune and stromal scores were derived using the ESTIMATE algorithm. The prognostic signature genes were selected from the differentially expressed genes (DEGs) using the robust partial likelihood-based cox proportional hazards regression method. The negative log-likelihood and the Akaike Information Criterion (AIC) were used to identify the optimal gene signature. The validation was carried out in 2 independent datasets from the Gene Expression Omnibus (GSE68571 and GSE72094). Results Patients with high ESTIMATE, stromal, and immune scores had better overall survivals (P=0.0035, P=0.066, and P=0.0077). The expression of thirty-seven genes was related to ESTIMATE-stromal-immune score. A risk stratification model was developed based on a gene signature containing CD74, JCHAIN, and PTGDS. The ESTIMATE-stromal-immune risk score was revealed to be a prognostic factor (P=0.009) after multivariate analysis. Four groups were classified based on this risk stratification model, yielding increasing survival outcomes (log-rank test, P=0.0051). This risk stratification model and other clinicopathological factors were combined to generate a nomogram. The calibration curves showed perfect agreement between the nomogram-predicted outcomes and those actually observed. Similar observations were made in 2 independent cohorts. Conclusions The gene signature based on the ESTIMATE-stromal-immune score could predict the prognosis of patients with LUAD.
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Affiliation(s)
- Qianli Ma
- Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Yang Chen
- Department of Biochemistry and Molecular Biology, The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, School of Basic Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Fei Xiao
- Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Yang Hao
- Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Zhiyi Song
- Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Jin Zhang
- Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Katsuhiro Okuda
- Department of Oncology, Immunology and Surgery, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan
| | - Sang-Won Um
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Mario Silva
- Section of Scienze Radiologiche, Department of Medicine and Surgery (DiMeC), University of Parma, Parma, Italy
| | - Yoshihisa Shimada
- Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan
| | - Chaozeng Si
- Department of Information Management, China-Japan Friendship Hospital, Beijing, China
| | - Chaoyang Liang
- Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China
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Wang Y, Qiu L, Chen Y, Zhang X, Yang P, Xu F. Screening and Identification of Four Prognostic Genes Related to Immune Infiltration and G-Protein Coupled Receptors Pathway in Lung Adenocarcinoma. Front Oncol 2021; 10:622251. [PMID: 33628734 PMCID: PMC7897677 DOI: 10.3389/fonc.2020.622251] [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: 10/28/2020] [Accepted: 12/21/2020] [Indexed: 12/24/2022] Open
Abstract
Background Lung adenocarcinoma (LUAD) is a common malignant tumor with the highest morbidity and mortality worldwide. The degree of tumor immune infiltration and clinical prognosis depend on immune-related genes, but their interaction with the tumor immune microenvironment, the specific mechanism driving immune infiltration and their prognostic value are still not very clear. Therefore, the aim of this work was focused on the elucidation of these unclear aspects. Methods TCGA LUAD samples were divided into three immune infiltration subtypes according to the single sample gene set enrichment analysis (ssGSEA), in which the associated gene modules and hub genes were screened by weighted correlation network analysis (WGCNA). Four key genes related to immune infiltration were found and screened by differential expression analysis, univariate prognostic analysis, and Lasso-COX regression, and their PPI network was constructed. Finally, a Nomogram model based on the four genes and tumor stages was constructed and confirmed in two GEO data sets. Results Among the three subtypes—high, medium, and low immune infiltration subtype—the survival rate of the patients in the high one was higher than the rate in the other two subtypes. The four key genes related to LUAD immune infiltration subtypes were CD69, KLRB1, PLCB2, and P2RY13. The PPI network revealed that the downstream genes of the G-protein coupled receptors (GPCRs) pathway were activated by these four genes through the S1PR1. The risk score signature based on these four genes could distinguish high and low-risk LUAD patients with different prognosis. The Nomogram constructed by risk score and clinical tumor stage showed a good ability to predict the survival rate of LUAD patients. The universality and robustness of the Nomogram was confirmed by two GEO datasets. Conclusions The prognosis of LUAD patients could be predicted by the constructed risk score signature based on the four genes, making this score a potential independent biomarker. The screening, identification, and analysis of these four genes could contribute to the understanding of GPCRs and LUAD immune infiltration, thus guiding the formulation of more effective immunotherapeutic strategies.
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Affiliation(s)
- Yan Wang
- Department of Emergency Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.,Department of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Liwei Qiu
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Yu Chen
- Department of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Xia Zhang
- Department of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong, China
| | - Peng Yang
- Department of Emergency Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Feng Xu
- Department of Emergency Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China
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Dai D, Xie L, Shui Y, Li J, Wei Q. Identification of Tumor Microenvironment-Related Prognostic Genes in Sarcoma. Front Genet 2021; 12:620705. [PMID: 33597971 PMCID: PMC7882740 DOI: 10.3389/fgene.2021.620705] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 01/06/2021] [Indexed: 12/16/2022] Open
Abstract
Aim Immune cells that infiltrate the tumor microenvironment (TME) are associated with cancer prognosis. The aim of the current study was to identify TME related gene signatures related to the prognosis of sarcoma (SARC) by using the data from The Cancer Genome Atlas (TCGA). Methods Immune and stromal scores were calculated by estimation of stromal and immune cells in malignant tumor tissues using expression data algorithms. The least absolute shrinkage and selection operator (lasso) based cox model was then used to select hub survival genes. A risk score model and nomogram were used to predict the overall survival of patients with SARC. Results We selected 255 patients with SARC for our analysis. The Kaplan–Meier method found that higher immune (p = 0.0018) or stromal scores (p = 0.0022) were associated with better prognosis of SARC. The estimated levels of CD4+ (p = 0.0012) and CD8+ T cells (p = 0.017) via the tumor immune estimation resource were higher in patients with SARC with better overall survival. We identified 393 upregulated genes and 108 downregulated genes (p < 0.05, fold change >4) intersecting between the immune and stromal scores based on differentially expressed gene (DEG) analysis. The univariate Cox analysis of each intersecting DEG and subsequent lasso-based Cox model identified 11 hub survival genes (MYOC, NNAT, MEDAG, TNFSF14, MYH11, NRXN1, P2RY13, CXCR3, IGLV3-25, IGHV1-46, and IGLV2-8). Then, a hub survival gene-based risk score gene signature was constructed; higher risk scores predicted worse SARC prognosis (p < 0.0001). A nomogram including the risk scores, immune/stromal scores and clinical factors showed a good prediction value for SARC overall survival (C-index = 0.716). Finally, connectivity mapping analysis identified that the histone deacetylase inhibitors trichostatin A and vorinostat might have the potential to reverse the harmful TME for patients with SARC. Conclusion The current study provided new indications for the association between the TME and SARC. Lists of TME related survival genes and potential therapeutic drugs were identified for SARC.
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Affiliation(s)
- Dongjun Dai
- Department of Radiation Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Lanyu Xie
- Department of Clinical Medicine, Fuzhou Medical College of Nanchang University, Jiangxi, China
| | - Yongjie Shui
- Department of Radiation Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jinfan Li
- Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qichun Wei
- Department of Radiation Oncology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Abstract
The opposing roles of innate and adaptive immune cells in suppressing or supporting cancer initiation, progression, metastasis and response to therapy has been long debated. The mechanisms by which different monocyte and T cell subtypes affect and modulate cancer have been extensively studied. However, the role of B cells and their subtypes have remained elusive, perhaps partially due to their heterogeneity and range of actions. B cells can produce a variety of cytokines and present tumor-derived antigens to T cells in combination with co-stimulatory or inhibitory ligands based on their phenotype. Unlike most T cells, B cells can be activated by innate immune stimuli, such as endotoxin. Furthermore, the isotype and specificity of the antibodies produced by plasma cells regulate distinct immune responses, including opsonization, antibody-mediated cellular cytotoxicity (ADCC) and complement activation. B cells are shaped by the tumor environment (TME), with the capability to regulate the TME in return. In this review, we will describe the mechanisms of B cell action, including cytokine production, antigen presentation, ADCC, opsonization, complement activation and how they affect tumor development and response to immunotherapy. We will also discuss how B cell fate within the TME is affected by tumor stroma, microbiome and metabolism.
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Affiliation(s)
- Shabnam Shalapour
- Department of Cancer Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA.
| | - Michael Karin
- Department of Pharmacology, School of Medicine, University of California San Diego, CA 92093, USA; Laboratory of Gene Regulation and Signal Transduction, Department of Pharmacology, School of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
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Yu L, Qiao R, Xu J, Han B, Zhong R. FAM207BP, a pseudogene-derived lncRNA, facilitates proliferation, migration and invasion of lung adenocarcinoma cells and acts as an immune-related prognostic factor. Life Sci 2021; 268:119022. [PMID: 33434533 DOI: 10.1016/j.lfs.2021.119022] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Revised: 12/28/2020] [Accepted: 01/05/2021] [Indexed: 12/11/2022]
Abstract
AIMS This study aimed to characterize the functions of pseudogene-derived long non-coding RNA (lncRNA) FAM207BP in lung adenocarcinoma (LUAD). MATERIALS AND METHODS Through the Cancer Genome Atlas (TCGA)-Genotype Tissue Expression (GTEx) database, FAM207BP expression was detected in LUAD and normal tissues. Overall survival (OS) and disease-free survival (DFS) analysis was presented using log-rank test or univariate Cox regression analysis. The relationships between FAM207BP expression and clinical features were analyzed. FAM207BP expression was validated in LUAD tissues and cells using RT-qPCR. Cell viability of LUAD cells was evaluated after silencing or overexpressing FAM207BP. Furthermore, migrated and invasive abilities were examined by Transwell and scratch assays. The correlation between FAM207BP expression and the immune infiltration levels was analyzed. Gene Set Enrichment Analysis (GSEA) was performed for high- and low-expression of FAM207BP using C2 collection in the Molecular Signatures Database (MSigDB) database. KEY FINDINGS FAM207BP expression was distinctly higher in LUAD than normal tissues. Patients with its high expression indicated worse OS and DFS time. FAM207BP expression was significantly related to gender. RT-qPCR results confirmed that FAM207BP was significantly highly expressed in LUAD tissues and cells. Knockdown of FAM207BP distinctly suppressed cellular viability, migration and invasion for LUAD cells. Also, its expression was negatively related to B cell infiltration levels. GSEA results indicated that high FAM207BP expression was involved in regulation of gene expression. Its low expression was related to immune response. SIGNIFICANCE Pseudogene-derived lncRNA FAM207BP could induce proliferation and migration of LUAD cells, which could act as an immune-related prognostic factor.
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Affiliation(s)
- Lian Yu
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Rong Qiao
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Jianlin Xu
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China
| | - Baohui Han
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
| | - Runbo Zhong
- Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai, China.
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