1
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Liu K, He S, Sun S, Zhang X, He Y, Quan F, Pang B, Xiao Y. Computational Quantification of Cancer Immunoediting. Cancer Immunol Res 2023; 11:1159-1167. [PMID: 37540180 DOI: 10.1158/2326-6066.cir-22-0926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 03/31/2023] [Accepted: 07/10/2023] [Indexed: 08/05/2023]
Abstract
The remarkable success of cancer immunotherapy has revolutionized cancer treatment, emphasizing the importance of tumor-immune interactions in cancer evolution and treatment. Cancer immunoediting describes the dual effect of tumor-immune interactions: inhibiting tumor growth by destroying tumor cells and facilitating tumor escape by shaping tumor immunogenicity. To better understand tumor-immune interactions, it is critical to develop computational methods to measure the extent of cancer immunoediting. In this review, we provide a comprehensive overview of the computational methods for quantifying cancer immunoediting. We focus on describing the basic ideas, computational processes, advantages, limitations, and influential factors. We also summarize recent advances in quantifying cancer immunoediting studies and highlight future research directions. As the methods for quantifying cancer immunoediting are continuously improved, future research will further help define the role of immunity in tumorigenesis and hopefully provide a basis for the design of new personalized cancer immunotherapy strategies.
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Affiliation(s)
- Kun Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Shengyuan He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Shangqin Sun
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Xinxin Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yanzhen He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Fei Quan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Bo Pang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yun Xiao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
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2
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Liu Y, Gao Z, Peng C, Jiang X. Exploration of the heterogeneity and interaction of epithelial cells and NK/T-cells in Laryngeal Squamous Cell Carcinoma based on single-cell RNA sequencing data. Braz J Otorhinolaryngol 2023; 89:393-400. [PMID: 37105033 PMCID: PMC10164759 DOI: 10.1016/j.bjorl.2023.02.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Accepted: 02/06/2023] [Indexed: 02/16/2023] Open
Abstract
OBJECTIVES We aimed to explore the heterogeneity and differentiation trajectories of epithelial cells and NK/T-cells in Laryngeal Squamous Cell Carcinoma (LSCC). METHODS We downloaded the GSE150321 data set containing LSCC01 and LSCC02 samples single cell RNA data from Gene Expression Omnibus. The UMAP analysis was performed to identify the cell subpopulations and cell locations of subpopulations. Seurat package was used to analyze the differential expression of genes. The function of differential expression genes was analyzed using DAVID database. The monocle2 package was used to analyze differentiation trajectories. We used the CellChat package to observe the signaling pathways and ligand-receptor pairs for epithelial cells and NK/T-cells. RESULTS All the LSCC cells were divided into 16 subpopulation that included 7 epithelial cell subsets, 3 T-cell subsets. The function analysis indicated that epithelial cells and NK/T-cells mainly participated in different process, such as cell cycle, immune response, and cell migration. Then, the results of differentiation trajectory indicated that the ability of migration, and the activation of the immune system increases, while the ability of apoptosis, and glucose metabolic process decreases as pseudotime. Migration-related epithelial cells act on all T-cells via the CNTN2-CNTN2 ligand-receptor pair, which suggested that CNTN2 might be an important biomarker for regulating migration of epithelial cells. CONCLUSIONS Our study characterized the heterogeneity of LSCC, which provided novel insights into LSCC and identified a new mechanism and target for clinical LSCC threapies. EVIDENCE IV.
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Affiliation(s)
- Yanan Liu
- Heilongjiang Provincial Hospital Affiliated to Harbin Institute of Technology, Department of Otorhinolaryngology, Harbin, Heilongjiang, PR China
| | - Zhiguang Gao
- Heilongjiang Provincial Hospital Affiliated to Harbin Institute of Technology, Department of Otorhinolaryngology, Harbin, Heilongjiang, PR China
| | - Cheng Peng
- Heilongjiang Provincial Hospital Affiliated to Harbin Institute of Technology, Department of Otorhinolaryngology, Harbin, Heilongjiang, PR China
| | - Xingli Jiang
- Heilongjiang Provincial Hospital Affiliated to Harbin Institute of Technology, Department of Otorhinolaryngology, Harbin, Heilongjiang, PR China.
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3
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Lin J, Liu J, Hao SG, Lan B, Zheng XB, Xiong JN, Zhang YQ, Gao X, Chen CB, Chen L, Huang YF, Luo H, Yi YT, Yi X, Lu JP, Zheng XW, Chen G, Wang XF, Chen Y. An EGFR L858R mutation identified in 1862 Chinese NSCLC patients can be a promising neoantigen vaccine therapeutic strategy. Front Immunol 2022; 13:1022598. [PMID: 36505399 PMCID: PMC9727402 DOI: 10.3389/fimmu.2022.1022598] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/28/2022] [Indexed: 11/24/2022] Open
Abstract
Background This study aimed to develop a vaccine that targets mutation-derived neoantigen in Chinese non-small-cell lung cancer (NSCLC). Methods A cohort of 1862 Chinese NSCLC patients who underwent targeted sequencing with a 1021-gene panel was investigated. HLA typing was done using OptiType v1.0 and neoantigens were predicted by netMHCpan v4.0. HLA LOH was inferred using the lohhla algorithm and TMB were quantified by counting the total number of non-synonymous ones based on our panel data. CIBERSORT was utilized to estimate the TME in different EGFR mutant subtype by using TCGA data. Results HLA-A*11:01(42.59%) was the top one allele and HLA-A*33:03(12.94%) ranked 12th. EGFR L858R (22.61%) was the most prevalent gene variant. The binding affinity (IC50 MT = 22.9 nM) and shared frequency (2.93%) of EGFR L858R in combination with HLA-A*33:03 were optimal. In a subsequent further analysis on immunological features of EGFR mutant subtypes, 63.1% HLA loss of heterozygosity LOH (HLA LOH) and 0.37% (7 of 1862) B2M aberrations were found in our population, both had no significant association with EGFR mutant subtypes suggesting that the process of antigen presentation involved HLA LOH and B2M mechanisms in EGFR L858R is working. Tumor mutation burden (TMB) was investigated by utilizing our panel and showed that EGFR L858R had the lowest TMB compared with other EGFR mutant subtypes. In addition, analysis of 22 immune cell types from The Cancer Genome Atlas (TCGA) data showed EGFR L858R was correlated with low level of CD8 T cells, activated CD4 memory T cells and elevated level of macrophage M2 suggesting an inhibited tumor microenvironment (TME). Conclusion Our study identified that EGFR L858R neoantigen had the potential to generate cancer vaccines in NSCLC patients with HLA A*33:03. The neoantigen-based vaccines may become an effective salvage regimen for EGFR L858R subgroup after targeted therapy or immune checkpoint inhibitors (ICIs) failure.
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Affiliation(s)
- Jing Lin
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Jun Liu
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | | | - Bin Lan
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Fujian Provincial Key Laboratory of Tumor Biotherapy, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Xiao-bin Zheng
- Fujian Provincial Key Laboratory of Tumor Biotherapy, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Jia-ni Xiong
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | | | - Xuan Gao
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China,Department of Translational Medicine, GenePlus- Shenzhen Clinical Laboratory, ShenZhen, China
| | - Chuan-ben Chen
- Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Ling Chen
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yu-fang Huang
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Hong Luo
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Yu-ting Yi
- Geneplus-Beijing Institute, Beijing, China
| | - Xin Yi
- Geneplus-Beijing Institute, Beijing, China
| | - Jian-ping Lu
- Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Xiong-wei Zheng
- Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Gang Chen
- Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Department of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
| | - Xue-feng Wang
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Fujian Provincial Key Laboratory of Tumor Biotherapy, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,The Third Affiliated Hospital of Soochow University, Institutes for Translational Medicine, Soochow University, Suzhou, China,*Correspondence: Yu Chen, ; Xue-feng Wang,
| | - Yu Chen
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China,*Correspondence: Yu Chen, ; Xue-feng Wang,
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Lu T, Park S, Han Y, Wang Y, Hubert SM, Futreal PA, Wistuba I, Heymach JV, Reuben A, Zhang J, Wang T. Netie: inferring the evolution of neoantigen-T cell interactions in tumors. Nat Methods 2022; 19:1480-1489. [PMID: 36303017 PMCID: PMC10083098 DOI: 10.1038/s41592-022-01644-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 09/09/2022] [Indexed: 11/08/2022]
Abstract
Neoantigens are the key targets of antitumor immune responses from cytotoxic T cells and play a critical role in affecting tumor progressions and immunotherapy treatment responses. However, little is known about how the interaction between neoantigens and T cells ultimately affects the evolution of cancerous masses. Here, we develop a hierarchical Bayesian model, named neoantigen-T cell interaction estimation (netie) to infer the history of neoantigen-CD8+ T cell interactions in tumors. Netie was systematically validated and applied to examine the molecular patterns of 3,219 tumors, compiled from a panel of 18 cancer types. We showed that tumors with an increase in immune selection pressure over time are associated with T cells that have an activation-related expression signature. We also identified a subset of exhausted cytotoxic T cells postimmunotherapy associated with tumor clones that newly arise after treatment. These analyses demonstrate how netie enables the interrogation of the relationship between individual neoantigen repertoires and the tumor molecular profiles. We found that a T cell inflammation gene expression profile (TIGEP) is more predictive of patient outcomes in the tumors with an increase in immune pressure over time, which reveals a curious synergy between T cells and neoantigen distributions. Overall, we provide a new tool that is capable of revealing the imprints left by neoantigens during each tumor's developmental process and of predicting how tumors will progress under further pressure of the host's immune system.
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Affiliation(s)
- Tianshi Lu
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Seongoh Park
- School of Mathematics, Statistics and Data Science, Sungshin Women's University, Seoul, Republic of Korea
| | - Yi Han
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Yunguan Wang
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Shawna Marie Hubert
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - P Andy Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ignacio Wistuba
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - John V Heymach
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexandre Reuben
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Zhang
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tao Wang
- Quantitative Biomedical Research Center, Peter O'Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA.
- Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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5
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Research progress of neoantigens in gynecologic cancers. Int Immunopharmacol 2022; 112:109236. [PMID: 36113318 DOI: 10.1016/j.intimp.2022.109236] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 09/01/2022] [Accepted: 09/04/2022] [Indexed: 11/24/2022]
Abstract
The incidence and mortality of gynecological cancers have increased over the past decade. In the absence of effective treatment strategies, many advanced patients develop resistance to conventional therapies and have poor prognosis. Neoantigens have emerged as a novel tumor-specific antigen (TSA) that arises from genomic mutations in tumor cells. With higher immunogenicity than tumor-associated antigens (TAA), they have no risk of developing autoimmune response, leading them an attractive candidate for tumor therapeutic vaccines. With the development of next-generation sequencing (NGS) technology, the identification of neoantigens has been gradually improved, and the scope of application of neoantigen vaccines has continued to expand. Combined with other therapies such as immune-checkpoint inhibitors (ICIs) or adoptive cell therapy (ACT), the application of neoantigen in gynecological cancers has extended to clinical practice. Here, we reviewed the preclinical and clinical studies of neoantigens in gynecological cancers.
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6
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Shinohara S, Takahashi Y, Komuro H, Matsui T, Sugita Y, Demachi-Okamura A, Muraoka D, Takahara H, Nakada T, Sakakura N, Masago K, Miyai M, Nishida R, Shomura S, Shigematsu Y, Hatooka S, Sasano H, Watanabe F, Adachi K, Fujinaga K, Kaneda S, Takao M, Ohtsuka T, Yamaguchi R, Kuroda H, Matsushita H. New evaluation of the tumor immune microenvironment of non-small cell lung cancer and its association with prognosis. J Immunother Cancer 2022; 10:jitc-2021-003765. [PMID: 35396225 PMCID: PMC8996063 DOI: 10.1136/jitc-2021-003765] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/23/2022] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND A better understanding of the tumor immune microenvironment (TIME) will facilitate the development of prognostic biomarkers and more effective therapeutic strategies in patients with lung cancer. However, little has been reported on the comprehensive evaluation of complex interactions among cancer cells, immune cells, and local immunosuppressive elements in the TIME. METHODS Whole-exome sequencing and RNA sequencing were carried out on 113 lung cancers. We performed single sample gene set enrichment analysis on TIME-related gene sets to develop a new scoring system (TIME score), consisting of T-score (tumor proliferation), I-score (antitumor immunity) and S-score (immunosuppression). Lung cancers were classified according to a combination of high or low T-score, I-score, and S-scores (eight groups; G1-8). Clinical and genomic features, and immune landscape were investigated among eight groups. The external data sets of 990 lung cancers from The Cancer Genome Atlas and 76 melanomas treated with immune checkpoint inhibitors (ICI) were utilized to evaluate TIME scoring and explore prognostic and predictive accuracy. RESULTS The representative histological type including adenocarcinoma and squamous cell carcinoma, and driver mutations such as epidermal growth factor receptor and TP53 mutations were different according to the T-score. The numbers of somatic mutations and predicted neoantigens were higher in Thi (G5-8) than Tlo (G1-4) tumors. Immune selection pressure against neoantigen expression occurred only in Thi and was dampened in Thi/Ilo (G5-6), possibly due to a reduced number of T cells with a high proportion of tumor specific but exhausted cells. Thi/Ilo/Shi (G5) displayed the lowest immune responses by additional immune suppressive mechanisms. The T-score, I-score and S-scores were independent prognostic factors, with survival curves well separated into eight groups with G5 displaying the worst overall survival, while the opposite group Tlo/Ihi/Slo (G4) had the best prognosis. Several oncogenic signaling pathways influenced on T-score and I-scores but not S-score, and PI3K pathway alteration correlated with poor prognosis in accordance with higher T-score and lower I-score. Moreover, the TIME score predicted the efficacy of ICI in patients with melanoma. CONCLUSION The TIME score capturing complex interactions among tumor proliferation, antitumor immunity and immunosuppression could be useful for prognostic predictions or selection of treatment strategies in patients with lung cancer.
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Affiliation(s)
- Shuichi Shinohara
- Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Yusuke Takahashi
- Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Japan.,Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Hiroyasu Komuro
- Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Takuya Matsui
- Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Yusuke Sugita
- Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Ayako Demachi-Okamura
- Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Daisuke Muraoka
- Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Hirotomo Takahara
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Takeo Nakada
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Noriaki Sakakura
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Katsuhiro Masago
- Pathology and Molecular Diagnostics, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Manami Miyai
- Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Reina Nishida
- Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Shin Shomura
- Department of Thoracic Surgery, Mie Prefectural General Medical Center, Yokkaichi, Japan
| | - Yoshiki Shigematsu
- Department of Respiratory Surgery, Ichinomiya Nishi Hospital, Ichinomiya, Japan
| | - Shunzo Hatooka
- Department of Respiratory Surgery, Ichinomiya Nishi Hospital, Ichinomiya, Japan
| | - Hajime Sasano
- Department of Respiratory Medicine and Allergy, Tosei General Hospital, Seto, Japan
| | - Fumiaki Watanabe
- Department of Thoracic Surgery, Mie Chuo Medical Center, Tsu, Japan
| | | | - Kazuya Fujinaga
- Department of Thoracic Surgery, Anjo Kosei Hospital, Anjo, Japan
| | - Shinji Kaneda
- Department of Thoracic and Cardiovascular Surgery, Mie University Graduate School of Medicine, Tsu, Japan
| | - Motoshi Takao
- Department of Thoracic and Cardiovascular Surgery, Mie University Graduate School of Medicine, Tsu, Japan
| | - Takashi Ohtsuka
- Department of Surgery, The Jikei University School of Medicine, Tokyo, Japan
| | - Rui Yamaguchi
- Division of Cancer Systems Biology, Aichi Cancer Center Research Institute, Nagoya, Japan.,Division of Cancer Informatics, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroaki Kuroda
- Department of Thoracic Surgery, Aichi Cancer Center Hospital, Nagoya, Japan
| | - Hirokazu Matsushita
- Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Japan .,Division of Cancer Immunogenomics, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Abstract
PURPOSE OF REVIEW Ovarian cancer (OC) is a heterogeneous disease and a mounting body of evidence shows that a 'one-size-fits-all' approach is obsolete. Differences in epidemiology, tumor biology, genetic profiles and treatment responses of these different types necessitate a tumor and patient-specific approach. Ninety percentage consists of epithelial OC with 70% being high-grade serous OC. The other rarer subtypes are low-grade serous (5%), clear cell (12%), endometrioid (11%) and mucinous carcinoma (3%). The remaining 10% are nonepithelial rare OCs: germ cell (3%) and sex-cord stromal tumors (7%). RECENT FINDINGS Over the past few decades, the 5-year survival rates have only improved modestly, therefore novel therapies are urgently needed. Recently, immunotherapy has been introduced into clinical practice in a number of solid tumors. Although preclinical data confirm the presence of an immunogenic microenvironment in a number of ovarian tumor types, no single-agent immune checkpoint inhibitor has been approved hitherto. Identifying suitable treatment combinations, adequate patient selection and thus correct implementation of immunotherapy remain major challenges. SUMMARY In this review, we focus on the rationale of incorporating immune therapy in rare OC, we summarize the recent developments with preclinical data and results of clinical trials, with particular focus on rare ovarian histological subtypes.
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Affiliation(s)
- Tina Laga
- Division of Gynecological Oncology, Department of Gynecology and Obstetrics and Leuven Cancer Institute, University Hospitals Leuven, Leuven, Belgium
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Heong V, Tan TZ, Miwa M, Ye J, Lim D, Herrington CS, Iida Y, Yano M, Yasuda M, Ngoi NY, Wong SJ, Okamoto A, Gourley C, Hasegawa K, Tan DS, Huang RY. A multi-ethnic analysis of immune-related gene expression signatures in patients with ovarian clear cell carcinoma. J Pathol 2021; 255:285-295. [PMID: 34322886 PMCID: PMC9539643 DOI: 10.1002/path.5769] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Revised: 06/07/2021] [Accepted: 07/23/2021] [Indexed: 11/23/2022]
Abstract
Little is known about the immune environment of ovarian clear cell carcinoma (OCCC) and its impact on various ethnic backgrounds. The aim of this OCCC immune‐related gene expression signatures (irGES) study was to address the interaction between tumour and immune environment of ethnically‐diverse Asian and Caucasian populations and to identify relevant molecular subsets of biological and clinical importance. Our study included 264 women from three different countries (Singapore, Japan, and the UK) and identified four novel immune subtypes (PD1‐high, CTLA4‐high, antigen‐presentation, and pro‐angiogenic subtype) with differentially expressed pathways, and gene ontologies using the NanoString nCounter PanCancer Immune Profiling Panel. The PD1‐high and CTLA4‐high subtypes demonstrated significantly higher PD1, PDL1, and CTLA4 expression, and were associated with poorer clinical outcomes. Mismatch repair (MMR) protein expression, assessed by immunohistochemistry, revealed that about 5% of OCCCs had deficient MMR expression. The prevalence was similar across the three countries and appeared to cluster in the CTLA4‐high subtype. Our results suggest that OCCC from women of Asian and Caucasian descent shares significant clinical and molecular similarities. To our knowledge, our study is the first study to include both Asian and Caucasian women with OCCC and helps to shine light on the impact of ethnic differences on the immune microenvironment of OCCC. © 2021 The Authors. The Journal of Pathology published by John Wiley & Sons, Ltd. on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Valerie Heong
- Department of Medical Oncology, Tan Tock Seng Hospital, Singapore
| | - Tuan Z Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore
| | - Maiko Miwa
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, Japan
| | - Jieru Ye
- School of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Diana Lim
- Department of Pathology, National University Hospital, Singapore
| | - C Simon Herrington
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Yasushi Iida
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Mitsutake Yano
- Department of Pathology, Saitama Medical University International Medical Center, Hidaka-shi, Japan
| | - Masanori Yasuda
- Department of Pathology, Saitama Medical University International Medical Center, Hidaka-shi, Japan
| | - Natalie Yl Ngoi
- Department of Haematology and Oncology, National University Cancer Institute Singapore, Singapore
| | - Sb Justin Wong
- Department of Pathology, National University Hospital, Singapore
| | - Aikou Okamoto
- Department of Obstetrics and Gynecology, The Jikei University School of Medicine, Tokyo, Japan
| | - Charlie Gourley
- Nicola Murray Centre for Ovarian Cancer Research, Cancer Research UK Edinburgh Centre, MRC IGMM, University of Edinburgh, Edinburgh, UK
| | - Kosei Hasegawa
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, Japan
| | - David Sp Tan
- Cancer Science Institute of Singapore, National University of Singapore, Singapore.,Department of Haematology and Oncology, National University Cancer Institute Singapore, Singapore
| | - Ruby Yj Huang
- School of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan.,Department of Obstetrics & Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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Hughes HR, Velez JO, Davis EH, Laven J, Gould CV, Panella AJ, Lambert AJ, Staples JE, Brault AC. Fatal Human Infection with Evidence of Intrahost Variation of Eastern Equine Encephalitis Virus, Alabama, USA, 2019. Emerg Infect Dis 2021; 27:1886-1892. [PMID: 34152960 PMCID: PMC8237905 DOI: 10.3201/eid2707.210315] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Eastern equine encephalitis virus (EEEV) is an arbovirus in the family Togaviridae, genus Alphavirus, found in North America and associated with freshwater/hardwood swamps in the Atlantic, Gulf Coast, and Great Lakes regions. EEEV disease in humans is rare but causes substantial illness and death. To investigate the molecular epidemiology and microevolution of EEEV from a fatal case in Alabama, USA, in 2019, we used next-generation sequencing of serum and cerebrospinal fluid (CSF). Phylogenetic inference indicated that the infecting strain may be closely related to isolates from Florida detected during 2010-2014, suggesting potential seeding from Florida. EEEV detected in serum displayed a higher degree of variability with more single-nucleotide variants than that detected in the CSF. These data refine our knowledge of EEEV molecular epidemiologic dynamics in the Gulf Coast region and demonstrate potential quasispecies bottlenecking within the central nervous system of a human host.
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10
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Matsushita H, Hasegawa K, Oda K, Yamamoto S, Asada K, Karasaki T, Yabuno A, Nishijima A, Nejo T, Kobayashi Y, Sato S, Ikeda Y, Miyai M, Takahashi Y, Yamaguchi R, Fujiwara K, Aburatani H, Kakimi K. Neoantigen load and HLA-class I expression identify a subgroup of tumors with a T-cell-inflamed phenotype and favorable prognosis in homologous recombination-proficient high-grade serous ovarian carcinoma. J Immunother Cancer 2021; 8:jitc-2019-000375. [PMID: 32461346 PMCID: PMC7254153 DOI: 10.1136/jitc-2019-000375] [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] [Accepted: 04/07/2020] [Indexed: 12/16/2022] Open
Abstract
Background There is increasing evidence for the benefit of poly ADP ribose polymerase (PARP) inhibitors in a subset of high-grade serous ovarian carcinoma (HGSC) patients, especially those with homologous recombination (HR)-deficient tumors. However, new treatment strategies, such as immune checkpoint inhibition, are required for patients with HR-proficient tumors. Methods A total of 80 cases of HGSC were analyzed in this study. Whole exome and RNA sequencing was performed for these tumors. Methylation arrays were also carried out to examine BRCA1 and RAD51C promoter methylation status. Mutations, neoantigen load, antigen presentation machinery, and local immune profile were investigated, and the relationships of these factors with clinical outcome were also analyzed. Results As expected, the numbers of predicted neoAgs were lower in HR-proficient (n=46) than HR-deficient tumors (n=34). However, 40% of the patients with HR-proficient tumors still had higher than median numbers of neoAgs and better survival than patients with lower numbers of neoAgs. Incorporation of human leukocyte antigen (HLA)-class I expression status into the survival analysis revealed that patients with both high neoAg numbers and high HLA-class I expression (neoAghiHLAhi) had the best progression-free survival (PFS) in HR-proficient HGSC (p=0.0087). Gene set enrichment analysis demonstrated that the genes for effector memory CD8 T cells, TH1 T cells, the interferon-γ response, and other immune-related genes, were enriched in these patients. Interestingly, this subset of patients also had better PFS (p=0.0015) and a more T-cell-inflamed tumor phenotype than patients with the same phenotype (neoAghiHLAhi) in HR-deficient HGSC. Conclusions Our results suggest that immune checkpoint inhibitors might be an alternative to explore in HR-proficient cases which currently do not benefit from PARP inhibition.
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Affiliation(s)
- Hirokazu Matsushita
- Department of Immunotherapeutics, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan .,Cancer Immunology Data Multi-level Integration Unit, Medical Science Innovation Hub Program, RIKEN, Chuo-ku, Tokyo, Japan.,Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan.,Division of Cancer Immunogenomics, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Kosei Hasegawa
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, Saitama, Japan
| | - Katsutoshi Oda
- Department of Obstetrics and Gynecology, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan
| | - Shogo Yamamoto
- Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo, Japan
| | - Kayo Asada
- Department of Obstetrics and Gynecology, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan.,Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo, Japan
| | - Takahiro Karasaki
- Department of Immunotherapeutics, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan.,Cancer Immunology Data Multi-level Integration Unit, Medical Science Innovation Hub Program, RIKEN, Chuo-ku, Tokyo, Japan
| | - Akira Yabuno
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, Saitama, Japan
| | - Akira Nishijima
- Department of Obstetrics and Gynecology, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan.,Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo, Japan
| | - Takahide Nejo
- Department of Immunotherapeutics, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan
| | - Yukari Kobayashi
- Department of Immunotherapeutics, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan
| | - Sho Sato
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, Saitama, Japan
| | - Yuji Ikeda
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, Saitama, Japan.,Department of Obstetrics and Gynecology, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan
| | - Manami Miyai
- Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | - Yusuke Takahashi
- Division of Translational Oncoimmunology, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan
| | - Rui Yamaguchi
- Division of Cancer Systems Biology, Aichi Cancer Center Research Institute, Nagoya, Aichi, Japan.,Division of Cancer Informatics, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Keiichi Fujiwara
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Hidaka, Saitama, Japan
| | - Hiroyuki Aburatani
- Genome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Meguro-ku, Tokyo, Japan
| | - Kazuhiro Kakimi
- Department of Immunotherapeutics, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan.,Cancer Immunology Data Multi-level Integration Unit, Medical Science Innovation Hub Program, RIKEN, Chuo-ku, Tokyo, Japan
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11
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Zhu C, Xu Z, Zhang T, Qian L, Xiao W, Wei H, Jin T, Zhou Y. Updates of Pathogenesis, Diagnostic and Therapeutic Perspectives for Ovarian Clear Cell Carcinoma. J Cancer 2021; 12:2295-2316. [PMID: 33758607 PMCID: PMC7974897 DOI: 10.7150/jca.53395] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 01/30/2021] [Indexed: 12/15/2022] Open
Abstract
Ovarian clear cell carcinoma (OCCC) is a special pathological type of epithelial ovarian carcinoma (EOC) and has a high prevalence in Asia without specific molecular subtype classification. Endometriosis is a recognized precancerous lesion that carries 3-fold increased risk of OCCC. Ovarian endometrioid carcinoma, which also originates from endometriosis, shares several features with OCCC, including platinum resistance and younger age at diagnosis. Patients with OCCC have about a 2.5 to 4 times greater risk of having a venous thromboembolism (VTE) compared with other EOC, and OCCC tends to metastasize through lymphatic vesicular and peritoneal spread as opposed to hematogenous metastasis. There is only mild elevation of the conventional biomarker CA125. Staging surgery or optimal cytoreduction combined with chemotherapy is a common therapeutic strategy for OCCC. However, platinum resistance commonly portends a poor prognosis, so novel treatments are urgently needed. Targeted therapy and immunotherapy are currently being studied, including PARP, EZH2, and ATR inhibitors combined with the synthetic lethality of ARID1A-dificiency, and MAPK/PI3K/HER2, VEGF/bFGF/PDGF, HNF1β, and PD-1/PD-L1 inhibitors. Advanced stage, suboptimal cytoreduction, platinum resistance, lymph node metastasis, and VTE are major prognostic predictors for OCCC. We focus on update pathogenesis, diagnostic methods and therapeutic approaches to provide future directions for clinical diagnosis and treatment of OCCC.
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Affiliation(s)
- Chenchen Zhu
- Department of Obstetrics and Gynecology, Anhui Provincial Hospital, Anhui Medical University, Hefei, 230001, China
| | - Zhihao Xu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Tianjiao Zhang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Lili Qian
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Weihua Xiao
- Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, The CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Life Sciences, University of Science and Technology of China, Hefei, China.,Institute of Immunology, University of Science and Technology of China, Hefei, China
| | - Haiming Wei
- Division of Molecular Medicine, Hefei National Laboratory for Physical Sciences at Microscale, The CAS Key Laboratory of Innate Immunity and Chronic Disease, School of Life Sciences, University of Science and Technology of China, Hefei, China.,Institute of Immunology, University of Science and Technology of China, Hefei, China
| | - Tengchuan Jin
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Ying Zhou
- Department of Obstetrics and Gynecology, Anhui Provincial Hospital, Anhui Medical University, Hefei, 230001, China.,Department of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
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12
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Chen H, Yang G, Xiao J, Zheng L, You L, Zhang T. Neoantigen-based immunotherapy in pancreatic ductal adenocarcinoma (PDAC). Cancer Lett 2020; 490:12-19. [PMID: 32590021 DOI: 10.1016/j.canlet.2020.06.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Revised: 06/05/2020] [Accepted: 06/12/2020] [Indexed: 02/08/2023]
Abstract
Neoantigens generated in neoplasms are a type of protein completely absent in healthy tissues. Therefore, anti-tumor immunity targeting neoantigens is highly specific, which provides an optional approach to boost tumor immunotherapy. Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies in humans, with few efficient treatments to improve its prognosis. Therefore, immunotherapies reinforced by neoantigen-based strategies should be considered. In PDAC, the mutational burden is intermediate compared with other common malignancies, while the naturally formed tumor immunity is significantly inferior. Moreover, the high mutation load in PDAC correlates with a poor clinical prognosis, although the combination of a large mutation repertoire and competent T cell population is indispensable for long-term survival. In clinical practice, three strategies have been mainly used: peptide or tumor cell vaccines, neo-epitope-coding nucleotide vaccines, and dendritic cell vaccines. However, three major problems remain to be addressed, including (1) highly personalized protocols after sampling, (2) insufficient neoantigen quantity, and (3) ineffective immunotherapy of PDAC. In summary, neoantigen-based therapy of PDAC is increasing and the treatment methods are accompanied by great challenges. Currently, extensive development is needed for effective neoantigen-based therapy.
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Affiliation(s)
- Hao Chen
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China; School of Medicine, Tsinghua University, 1 Tsinghua Yuan Haidian District, Beijing, 100084, China.
| | - Gang Yang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
| | - Jianchun Xiao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
| | - Lianfang Zheng
- Department of Nuclear Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Lei You
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
| | - Taiping Zhang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China; Clinical Immunology Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
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13
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Han XJ, Ma XL, Yang L, Wei YQ, Peng Y, Wei XW. Progress in Neoantigen Targeted Cancer Immunotherapies. Front Cell Dev Biol 2020; 8:728. [PMID: 32850843 PMCID: PMC7406675 DOI: 10.3389/fcell.2020.00728] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 07/14/2020] [Indexed: 02/05/2023] Open
Abstract
Immunotherapies that harness the immune system to kill cancer cells have showed significant therapeutic efficacy in many human malignancies. A growing number of studies have highlighted the relevance of neoantigens in recognizing cancer cells by intrinsic T cells. Cancer neoantigens are a direct consequence of somatic mutations presenting on the surface of individual cancer cells. Neoantigens are fully cancer-specific and exempt from central tolerance. In addition, neoantigens are important targets for checkpoint blockade therapy. Recently, technological innovations have made neoantigen discovery possible in a variety of malignancies, thus providing an impetus to develop novel immunotherapies that selectively enhance T cell reactivity for the destruction of cancer cells while leaving normal tissues unharmed. In this review, we aim to introduce the methods of the identification of neoantigens, the mutational patterns of human cancers, related clinical trials, neoantigen burden and sensitivity to immune checkpoint blockade. Moreover, we focus on relevant challenges of targeting neoantigens for cancer treatment.
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14
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Lu T, Wang S, Xu L, Zhou Q, Singla N, Gao J, Manna S, Pop L, Xie Z, Chen M, Luke JJ, Brugarolas J, Hannan R, Wang T. Tumor neoantigenicity assessment with CSiN score incorporates clonality and immunogenicity to predict immunotherapy outcomes. Sci Immunol 2020; 5:eaaz3199. [PMID: 32086382 PMCID: PMC7239327 DOI: 10.1126/sciimmunol.aaz3199] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Revised: 11/11/2019] [Accepted: 01/30/2020] [Indexed: 12/12/2022]
Abstract
Lack of responsiveness to checkpoint inhibitors is a central problem in the modern era of cancer immunotherapy. Tumor neoantigens are critical targets of the host antitumor immune response, and their presence correlates with the efficacy of immunotherapy treatment. Many studies involving assessment of tumor neoantigens principally focus on total neoantigen load, which simplistically treats all neoantigens equally. Neoantigen load has been linked with treatment response and prognosis in some studies but not others. We developed a Cauchy-Schwarz index of Neoantigens (CSiN) score to better account for the degree of concentration of immunogenic neoantigens in truncal mutations. Unlike total neoantigen load determinations, CSiN incorporates the effect of both clonality and MHC binding affinity of neoantigens when characterizing tumor neoantigen profiles. By analyzing the clinical responses in 501 treated patients with cancer (with most receiving checkpoint inhibitors) and the overall survival of 1978 patients with cancer at baseline, we showed that CSiN scores predict treatment response to checkpoint inhibitors and prognosis in patients with melanoma, lung cancer, and kidney cancer. CSiN score substantially outperformed prior genetics-based prediction methods of responsiveness and fills an important gap in research involving assessment of tumor neoantigen burden.
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Affiliation(s)
- Tianshi Lu
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Shidan Wang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Lin Xu
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Division of Hematology/Oncology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Qinbo Zhou
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Nirmish Singla
- Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Kidney Cancer Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Jianjun Gao
- Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Subrata Manna
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Laurentiu Pop
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Zhiqun Xie
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Mingyi Chen
- Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Jason J Luke
- University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA
| | - James Brugarolas
- Kidney Cancer Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA
| | - Raquibul Hannan
- Kidney Cancer Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
| | - Tao Wang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
- Kidney Cancer Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
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15
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Gitto SB, Kim H, Rafail S, Omran DK, Medvedev S, Kinose Y, Rodriguez-Garcia A, Flowers AJ, Xu H, Schwartz LE, Powell DJ, Simpkins F. An autologous humanized patient-derived-xenograft platform to evaluate immunotherapy in ovarian cancer. Gynecol Oncol 2019; 156:222-232. [PMID: 31818495 DOI: 10.1016/j.ygyno.2019.10.011] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Revised: 10/09/2019] [Accepted: 10/09/2019] [Indexed: 12/19/2022]
Abstract
OBJECTIVE The aim of this study was to "humanize" ovarian cancer patient-derived xenograft (PDX) models by autologous transfer of patient-matched tumor infiltrating lymphocytes (TILs) to evaluate immunotherapies. METHODS Orthotopic high-grade serous ovarian cancer (HGSOC) PDX models were established from three patient donors. Models were molecularly and histologically validated by immunohistochemistry. TILs were expanded from donor tumors using a rapid expansion protocol. Ex vivo TIL and tumor co-cultures were performed to validate TIL reactivity against patient-matched autologous tumor cells. Expression of TIL activation markers and cytokine secretion was quantitated by flow cytometry and ELISA. As proof of concept, the efficacy of anti-PD-1 monotherapy was tested in autologous TIL/tumor HGSOC PDX models. RESULTS Evaluation of T-cell activation in autologous TIL/tumor co-cultures resulted in an increase in HLA-dependent IFNγ production and T-cell activation. In response to increased IFNγ production, tumor cell expression of PD-L1 was increased. Addition of anti-PD-1 antibody to TIL/tumor co-cultures increased autologous tumor lysis in a CCNE1 amplified model. Orthotopic HGSOC PDX models from parallel patient-matched tumors maintained their original morphology and molecular marker profile. Autologous tumor-reactive TIL administration in patient-matched PDX models resulted in reduced tumor burden and increased survival, in groups that also received anti-PD-1 therapy. CONCLUSIONS This study validates a novel, clinically relevant model system for in vivo testing of immunomodulating therapeutic strategies for ovarian cancer, and provides a unique platform for assessing patient-specific T-cell response to immunotherapy.
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Affiliation(s)
- Sarah B Gitto
- Ovarian Cancer Research Center, Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; Center for Cellular Immunotherapies, University of Pennsylvania, Philadelphia, PA, 19104, USA; Department of Pathology and Laboratory Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Hyoung Kim
- Ovarian Cancer Research Center, Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Stavros Rafail
- Ovarian Cancer Research Center, Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Dalia K Omran
- Ovarian Cancer Research Center, Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; Department of Pathology and Laboratory Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Sergey Medvedev
- Ovarian Cancer Research Center, Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Yasuto Kinose
- Ovarian Cancer Research Center, Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Alba Rodriguez-Garcia
- Ovarian Cancer Research Center, Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; Center for Cellular Immunotherapies, University of Pennsylvania, Philadelphia, PA, 19104, USA; Department of Pathology and Laboratory Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Ahron J Flowers
- Ovarian Cancer Research Center, Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Haineng Xu
- Ovarian Cancer Research Center, Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Lauren E Schwartz
- Department of Pathology and Laboratory Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Daniel J Powell
- Ovarian Cancer Research Center, Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA; Center for Cellular Immunotherapies, University of Pennsylvania, Philadelphia, PA, 19104, USA; Department of Pathology and Laboratory Medicine, Abramson Cancer Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
| | - Fiona Simpkins
- Ovarian Cancer Research Center, Division of Gynecology Oncology, Department of Obstetrics and Gynecology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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16
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Current Perspectives in Cancer Immunotherapy. Cancers (Basel) 2019; 11:cancers11101472. [PMID: 31575023 PMCID: PMC6826426 DOI: 10.3390/cancers11101472] [Citation(s) in RCA: 134] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Revised: 09/20/2019] [Accepted: 09/26/2019] [Indexed: 12/12/2022] Open
Abstract
Different immunotherapeutic approaches have proved to be of significant clinical value to many patients with different types of advanced cancer. However, we need more precise immunotherapies and predictive biomarkers to increase the successful response rates. The advent of next generation sequencing technologies and their applications in immuno-oncology has helped us tremendously towards this aim. We are now moving towards the realization of personalized medicine, thus, significantly increasing our expectations for a more successful management of the disease. Here, we discuss the current immunotherapeutic approaches against cancer, including immune checkpoint blockade with an emphasis on anti-PD-L1 and anti-CTLA-4 monoclonal antibodies. We also analyze a growing list of other co-inhibitory and co-stimulatory markers and emphasize the mechanism of action of the principal pathway for each of these, as well as on drugs that either have been FDA-approved or are under clinical investigation. We further discuss recent advances in other immunotherapies, including cytokine therapy, adoptive cell transfer therapy and therapeutic vaccines. We finally discuss the modulation of gut microbiota composition and response to immunotherapy, as well as how tumor-intrinsic factors and immunological processes influence the mutational and epigenetic landscape of progressing tumors and response to immunotherapy but also how immunotherapeutic intervention influences the landscape of cancer neoepitopes and tumor immunoediting.
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17
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Nejo T, Matsushita H, Karasaki T, Nomura M, Saito K, Tanaka S, Takayanagi S, Hana T, Takahashi S, Kitagawa Y, Koike T, Kobayashi Y, Nagae G, Yamamoto S, Ueda H, Tatsuno K, Narita Y, Nagane M, Ueki K, Nishikawa R, Aburatani H, Mukasa A, Saito N, Kakimi K. Reduced Neoantigen Expression Revealed by Longitudinal Multiomics as a Possible Immune Evasion Mechanism in Glioma. Cancer Immunol Res 2019; 7:1148-1161. [PMID: 31088845 DOI: 10.1158/2326-6066.cir-18-0599] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 01/23/2019] [Accepted: 05/07/2019] [Indexed: 11/16/2022]
Abstract
Immune-based therapies have shown limited efficacy in glioma thus far. This might be at least in part due to insufficient numbers of neoantigens, thought to be targets of immune attack. In addition, we hypothesized that dynamic genetic and epigenetic tumor evolution in gliomas might also affect the mutation/neoantigen landscape and contribute to treatment resistance through immune evasion. Here, we investigated changes in the neoantigen landscape and immunologic features during glioma progression using exome and RNA-seq of paired primary and recurrent tumor samples obtained from 25 WHO grade II-IV glioma patients (glioblastoma, IDH-wild-type, n = 8; grade II-III astrocytoma, IDH-mutant, n = 9; and grade II-III oligodendroglioma, IDH-mutant, 1p/19q-codeleted, n = 8). The number of missense mutations, predicted neoantigens, or expressed neoantigens was not significantly different between primary and recurrent tumors. However, we found that in individual patients the ratio of expressed neoantigens to predicted neoantigens, designated the "neoantigen expression ratio," decreased significantly at recurrence (P = 0.003). This phenomenon was particularly pronounced for "high-affinity," "clonal," and "passenger gene-derived" neoantigens. Gene expression and IHC analyses suggested that the decreased neoantigen expression ratio was associated with intact antigen presentation machinery, increased tumor-infiltrating immune cells, and ongoing immune responses. Our findings imply that decreased expression of highly immunogenic neoantigens, possibly due to persistent immune selection pressure, might be one of the immune evasion mechanisms along with tumor clonal evolution in some gliomas.
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Affiliation(s)
- Takahide Nejo
- Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Department of Immunotherapeutics, The University of Tokyo Hospital, Tokyo, Japan
| | - Hirokazu Matsushita
- Department of Immunotherapeutics, The University of Tokyo Hospital, Tokyo, Japan.,Cancer Immunology Data Multi-level Integration Unit, Medical Science Innovation Hub Program, RIKEN, Tokyo, Japan
| | - Takahiro Karasaki
- Department of Immunotherapeutics, The University of Tokyo Hospital, Tokyo, Japan.,Cancer Immunology Data Multi-level Integration Unit, Medical Science Innovation Hub Program, RIKEN, Tokyo, Japan
| | - Masashi Nomura
- Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Genome Science Division, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Tokyo, Japan
| | - Kuniaki Saito
- Department of Neurosurgery, Kyorin University Faculty of Medicine, Tokyo, Japan
| | - Shota Tanaka
- Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Shunsaku Takayanagi
- Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Taijun Hana
- Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.,Genome Science Division, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Tokyo, Japan
| | - Satoshi Takahashi
- Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yosuke Kitagawa
- Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tsukasa Koike
- Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yukari Kobayashi
- Department of Immunotherapeutics, The University of Tokyo Hospital, Tokyo, Japan
| | - Genta Nagae
- Genome Science Division, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Tokyo, Japan
| | - Shogo Yamamoto
- Genome Science Division, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Tokyo, Japan
| | - Hiroki Ueda
- Genome Science Division, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Tokyo, Japan
| | - Kenji Tatsuno
- Genome Science Division, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Tokyo, Japan
| | - Yoshitaka Narita
- Department of Neurosurgery and Neuro-Oncology, National Cancer Center Hospital, Tokyo, Japan
| | - Motoo Nagane
- Department of Neurosurgery, Kyorin University Faculty of Medicine, Tokyo, Japan
| | - Keisuke Ueki
- Department of Neurosurgery, Dokkyo Medical University, Tochigi, Japan
| | - Ryo Nishikawa
- Department of Neuro-Oncology/Neurosurgery, Saitama Medical University International Medical Center, Saitama, Japan
| | - Hiroyuki Aburatani
- Genome Science Division, Research Center for Advanced Science and Technology (RCAST), The University of Tokyo, Tokyo, Japan.
| | - Akitake Mukasa
- Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Nobuhito Saito
- Department of Neurosurgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kazuhiro Kakimi
- Department of Immunotherapeutics, The University of Tokyo Hospital, Tokyo, Japan. .,Cancer Immunology Data Multi-level Integration Unit, Medical Science Innovation Hub Program, RIKEN, Tokyo, Japan
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18
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Kudryavtseva AV, Lukyanova EN, Kalinin DV, Zaretsky AR, Pokrovsky AV, Golovyuk AL, Fedorova MS, Pudova EA, Kharitonov SL, Pavlov VS, Kobelyatskaya AA, Melnikova NV, Dmitriev AA, Polyakov AP, Alekseev BY, Kiseleva MV, Kaprin AD, Krasnov GS, Snezhkina AV. Mutational load in carotid body tumor. BMC Med Genomics 2019; 12:39. [PMID: 30871634 PMCID: PMC6416835 DOI: 10.1186/s12920-019-0483-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Background Carotid body tumor (CBT) is a rare neoplasm arising from paraganglion located near the bifurcation of the carotid artery. There is great intra-tumor heterogeneity, and CBT development could be associated with both germline and somatic allelic variants. Studies on the molecular genetics of CBT are limited, and the molecular mechanisms of its pathogenesis are not fully understood. This work is focused on the estimation of mutational load (ML) in CBT. Methods Using the NextSeq 500 platform, we performed exome sequencing of tumors with matched lymph node tissues and peripheral blood obtained from six patients with CBT. To obtain reliable results in tumors with low ML, we developed and successfully applied a complex approach for the analysis of sequencing data. ML was evaluated as the number of somatic variants per megabase (Mb) of the target regions covered by the Illumina TruSeq Exome Library Prep Kit. Results The ML in CBT varied in the range of 0.09–0.28/Mb. Additionally, we identified several pathogenic/likely pathogenic somatic and germline allelic variants across six patients studied (including TP53 variants). Conclusions Using the developed approach, we estimated the ML in CBT, which is much lower than in common malignant tumors. Identified variants in known paraganglioma/pheochromocytoma-causative genes and novel genes could be associated with the pathogenesis of CBT. The obtained results expand our knowledge of the mutation process in CBT as well as the biology of tumor development.
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Affiliation(s)
- Anna V Kudryavtseva
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
| | - Elena N Lukyanova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Dmitry V Kalinin
- Vishnevsky Institute of Surgery, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Andrew R Zaretsky
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Anatoly V Pokrovsky
- Vishnevsky Institute of Surgery, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Alexander L Golovyuk
- Vishnevsky Institute of Surgery, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Maria S Fedorova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Elena A Pudova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Sergey L Kharitonov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.,National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Vladislav S Pavlov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | | | - Nataliya V Melnikova
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Alexey A Dmitriev
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Andrey P Polyakov
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Boris Y Alekseev
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Marina V Kiseleva
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - Andrey D Kaprin
- National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia
| | - George S Krasnov
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
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19
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Breaking tolerance with engineered class I antigen-presenting molecules. Proc Natl Acad Sci U S A 2019; 116:3136-3145. [PMID: 30728302 DOI: 10.1073/pnas.1807465116] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Successful efforts to activate T cells capable of recognizing weak cancer-associated self-antigens have employed altered peptide antigens to activate T cell responses capable of cross-reacting on native tumor-associated self. A limitation of this approach is the requirement for detailed knowledge about the altered self-peptide ligands used in these vaccines. In the current study we considered allorecognition as an approach for activating CTL capable of recognizing weak or self-antigens in the context of self-MHC. Nonself antigen-presenting molecules typically contain polymorphisms that influence interactions with the bound peptide and TCR interface. Recognition of these nonself structures results in peptide-dependent alloimmunity. Alloreactive T cells target their inducing alloantigens as well as third-party alloantigens but generally fail to target self-antigens. Certain residues located on the alpha-1/2 domains of class I antigen-presenting molecules primarily interface with TCR. These residues are more conserved within and across species than are residues that determine peptide antigen binding properties. Class I variants designed with amino acid substitutions at key positions within the conserved helical structures are shown to provide strong activating signals to alloreactive CD8 T cells while avoiding changes in naturally bound peptide ligands. Importantly, CTL activated in this manner can break self-tolerance by reacting to self-peptides presented by native MHC. The ability to activate self-tolerant T cells capable of cross-reacting on self-peptide-MHC in vivo represents an approach for inducing autoimmunity, with possible application in cancer vaccines.
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20
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Oda K, Hamanishi J, Matsuo K, Hasegawa K. Genomics to immunotherapy of ovarian clear cell carcinoma: Unique opportunities for management. Gynecol Oncol 2018; 151:381-389. [PMID: 30217369 PMCID: PMC7526052 DOI: 10.1016/j.ygyno.2018.09.001] [Citation(s) in RCA: 85] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2018] [Revised: 08/28/2018] [Accepted: 09/01/2018] [Indexed: 12/12/2022]
Abstract
Ovarian clear cell carcinoma (OCCC) is distinctive from other histological types of epithelial ovarian cancer, with genetic/epigenetic alterations, a specific immune-related molecular profile, and epidemiologic associations with ethnicity and endometriosis. These findings allow for the exploration of unique and specific treatments for OCCC. Two major mutated genes in OCCC are PIK3CA and ARID1A, which are frequently coexistent with each other. Other genes' alterations also contribute to activation of the PI3K (e.g. PIK3R1 and PTEN) and dysregulation of the chromatin remodeling complex (e.g. ARID1B, and SMARKA4). Although the number of focal copy number variations is small in OCCC, amplification is recurrently detected at chromosome 20q13.2 (including ZNF217), 8q, and 17q. Both expression and methylation profiling highlight the significance of adjustments to oxidative stress and inflammation. In particular, up-regulation of HNF-1β resulting from hypomethylation contributes to the switch from anaerobic to aerobic glucose metabolism. Additionally, up-regulation of HNF-1β activates STAT3 and NF-κB signaling, and leads to immune suppression via production of IL-6 and IL-8. Immune suppression may also be induced by the increased expression of PD-1, Tim-3 and LAG3. Mismatch repair deficient (microsatellite instable) tumors as found in Lynch syndrome also induce immune suppression in some OCCC. In a recent phase II clinical trial in heavily-treated platinum-resistant ovarian cancer, two out of twenty cases with a complete response to the anti-PD-1 antibody, nivolumab, were OCCC subtypes. Thus, the immune-suppressive state resulting from both genetic alterations and the unique tumor microenvironment may be associated with sensitivity to immune checkpoint inhibitors in OCCC. In this review, we highlight recent update and progress in OCCC from both the genomic and immunologic points of view, addressing the future candidate therapeutic options.
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Affiliation(s)
- Katsutoshi Oda
- Department of Obstetrics and Gynecology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Junzo Hamanishi
- Department of Obstetrics and Gynecology, Kyoto University Graduate School of Medicine, Kyoto, Japan.
| | - Koji Matsuo
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Kosei Hasegawa
- Department of Gynecologic Oncology, Saitama Medical University International Medical Center, Saitama, Japan
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