1
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Xia WY, Shen YJ, Zhang CC, Qian LQ, Wang H, Wang K, Jin HZ, Zhu XR, Ding ZP, Zhang Q, Yu W, Feng W, Fu XL. Combination of radiotherapy and PD-L1 blockade induces abscopal responses in EGFR-mutated lung cancer through activating CD8 + T cells. Transl Oncol 2024; 48:102074. [PMID: 39106551 PMCID: PMC11357862 DOI: 10.1016/j.tranon.2024.102074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 06/25/2024] [Accepted: 08/01/2024] [Indexed: 08/09/2024] Open
Abstract
Patients with EGFR-mutated non-small cell lung cancer (NSCLC) respond poorly to immune checkpoint inhibitors (ICIs). It has been reported that the number of CD8+T cells is reduced in EGFR-mutated NSCLC. However, the extent of heterogeneity and effector function of distinct populations of CD8+T cells has not been investigated intensively. In addition, studies investigating whether a combination of radiotherapy and ICIs can improve the efficacy of ICIs in EGFR-mutated lung cancer are lacking. Single-cell RNA sequencing (scRNA-seq) was used to investigate the heterogeneity of CD8+T cell populations in EGFR-mutated NSCLC. The STING pathway was explored after hypofractionated radiation of EGFR-mutated and wild-type cells. Mice bearing LLC-19del and LLC-EGFR tumors were treated with radiotherapy plus anti-PD-L1. The scRNA-seq data showed the percentage of progenitor exhausted CD8+T cells was lower in EGFR-mutated NSCLC. In addition, CD8+T cells in EGFR-mutated NSCLC were enriched in oxidative phosphorylation. In EGFR-mutated and wild-type cells, 8 Gy × 3 increased the expression of chemokines that recruit T cells and activate the cGAS-STING pathway. In the LLC-19del and LLC-EGFR mouse model, the combination of radiation and anti-PD-L1 significantly inhibited the growth of abscopal tumors. The enhanced abscopal effect was associated with systemic CD8+T cell infiltration. This study provided an intensive understanding of the heterogeneity and effector functions of CD8+T cells in EGFR-mutated NSCLC. We showed that the combination of hypofractionated radiation and anti-PD-L1 significantly enhanced the abscopal responses in both EGFR-mutated and wild-type lung cancer by activating CD8+T cells in mice.
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Affiliation(s)
- Wu-Yan Xia
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu-Jia Shen
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chen-Chen Zhang
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li-Qiang Qian
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hao Wang
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kai Wang
- Department of Central Laboratory, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai-Zhen Jin
- Department of Central Laboratory, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xue-Ru Zhu
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zheng-Ping Ding
- Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qin Zhang
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen Yu
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen Feng
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Xiao-Long Fu
- Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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2
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Chen K, Yu Q, Sha Q, Wang J, Fang J, Li X, Shen X, Fu B, Guo C. Single-cell transcriptomic analysis of immune cell dynamics in the healthy human endometrium. Biochem Biophys Rep 2024; 39:101802. [PMID: 39161579 PMCID: PMC11332207 DOI: 10.1016/j.bbrep.2024.101802] [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: 04/12/2024] [Revised: 06/25/2024] [Accepted: 07/23/2024] [Indexed: 08/21/2024] Open
Abstract
The microenvironment of the endometrial immune system is crucial to the success of placental implantation and healthy pregnancy. However, the functionalities of immune cells across various stages of the reproductive cycle have yet to be fully comprehended. To address this, we conducted advanced bioinformatic analysis on 230,049 high-quality single-cell transcriptomes from healthy endometrial samples obtained during the proliferative, secretory, early pregnancy, and late pregnancy stages. Our investigation has unveiled that proliferative natural killer (NK) cells, a potential source of endometrial NK cells, exhibit the most robust proliferative and differentiation potential during non-pregnant stages. We have also identified similar differentiation trajectories of NK cells originating from proliferative NK cells across four stages. Notably, during early pregnancy, NK cells demonstrate the highest oxidative phosphorylation metabolism activity, and, in conjunction with macrophages and T cells, exhibit the strongest type II interferon response. With spatial transcriptome data, we have discerned that the most robust immune-non-immune interactions are associated with the promotion and inhibition of cell proliferation, differentiation and migration during four stages. Furthermore, we have compiled lists of stage-specific risk genes implicated in reproductive diseases, which hold promise as potential disease biomarkers. Our study provides insights into the dynamics of the endometrial immune microenvironment during different reproductive cycle stages, thus serving as a reference for detecting pathological changes during pregnancy.
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Affiliation(s)
- Kaixing Chen
- Department of Rheumatology and Immunology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230021, China
- CAS Center for Excellence in Molecular Cell Sciences, The CAS Key Laboratory of Innate Immunity and Chronic Disease, University of Science and Technology of China, 230027, Hefei, Anhui, China
| | - Qiaoni Yu
- Department of Rheumatology and Immunology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230021, China
| | - Qing Sha
- Department of Rheumatology and Immunology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230021, China
| | - Junyu Wang
- Department of Rheumatology and Immunology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230021, China
| | - Jingwen Fang
- Department of Rheumatology and Immunology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230021, China
- HanGene Biotech, Xiaoshan Innovation Polis, Hangzhou, Zhejiang, 311200, China
| | - Xin Li
- Department of Rheumatology, The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 121001, China
| | - Xiaokun Shen
- Department of Immunology, School of Basic Medical Science, Jinzhou Medical University, Jinzhou, 121001, China
| | - Binqing Fu
- CAS Center for Excellence in Molecular Cell Sciences, The CAS Key Laboratory of Innate Immunity and Chronic Disease, University of Science and Technology of China, 230027, Hefei, Anhui, China
| | - Chuang Guo
- Department of Rheumatology and Immunology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230021, China
- CAS Center for Excellence in Molecular Cell Sciences, The CAS Key Laboratory of Innate Immunity and Chronic Disease, University of Science and Technology of China, 230027, Hefei, Anhui, China
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3
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Mao W, Zhou T, Zhang F, Qian M, Xie J, Li Z, Shu Y, Li Y, Xu H. Pan-cancer single-cell landscape of drug-metabolizing enzyme genes. Pharmacogenet Genomics 2024; 34:217-225. [PMID: 38814173 DOI: 10.1097/fpc.0000000000000538] [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: 05/31/2024]
Abstract
OBJECTIVE Varied expression of drug-metabolizing enzymes (DME) genes dictates the intensity and duration of drug response in cancer treatment. This study aimed to investigate the transcriptional profile of DMEs in tumor microenvironment (TME) at single-cell level and their impact on individual responses to anticancer therapy. METHODS Over 1.3 million cells from 481 normal/tumor samples across 9 solid cancer types were integrated to profile changes in the expression of DME genes. A ridge regression model based on the PRISM database was constructed to predict the influence of DME gene expression on drug sensitivity. RESULTS Distinct expression patterns of DME genes were revealed at single-cell resolution across different cancer types. Several DME genes were highly enriched in epithelial cells (e.g. GPX2, TST and CYP3A5 ) or different TME components (e.g. CYP4F3 in monocytes). Particularly, GPX2 and TST were differentially expressed in epithelial cells from tumor samples compared to those from normal samples. Utilizing the PRISM database, we found that elevated expression of GPX2, CYP3A5 and reduced expression of TST was linked to enhanced sensitivity of particular chemo-drugs (e.g. gemcitabine, daunorubicin, dasatinib, vincristine, paclitaxel and oxaliplatin). CONCLUSION Our findings underscore the varied expression pattern of DME genes in cancer cells and TME components, highlighting their potential as biomarkers for selecting appropriate chemotherapy agents.
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Affiliation(s)
- Wei Mao
- Department of Laboratory Medicine/Research Centre of Clinical Laboratory Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan
| | - Tao Zhou
- Department of Laboratory Medicine/Research Centre of Clinical Laboratory Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan
| | - Feng Zhang
- Center for Precision Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang
| | - Maoxiang Qian
- Institute of Pediatrics and Department of Hematology and Oncology, National Children's Medical Center, Children's Hospital of Fudan University, Shanghai
| | - Jianqiang Xie
- Department of Medicine and Surgery, Sichan Second Veterans Hospital
| | - Zhengyan Li
- Department of Radiology, West China Hospital, Sichuan University
| | - Yang Shu
- Gastric Cancer Center, West China Hospital, Sichuan University
| | - Yuan Li
- Institute of Digestive Surgery, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Heng Xu
- Department of Laboratory Medicine/Research Centre of Clinical Laboratory Medicine, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan
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4
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Xu Z, Ma W, Wang J, Chen H, Li H, Yin Z, Hao J, Chen K. Nuclear HMGB1 is critical for CD8 T cell IFN-γ production and anti-tumor immunity. Cell Rep 2024; 43:114591. [PMID: 39116204 DOI: 10.1016/j.celrep.2024.114591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 06/24/2024] [Accepted: 07/22/2024] [Indexed: 08/10/2024] Open
Abstract
HMGB1 (high-mobility group box-1) has been extensively studied as a damage-associated molecular pattern, with secreted cytokine function. However, its regulation on T cells, especially the function in the nucleus, has not been elucidated. Here, we use conditional knockout (HMGB1-f/f; CD2-cre) mice and find that HMGB1 potentiates the proliferation and interferon gamma (IFN-γ) expression of CD8 T cells rather than CD4 T cells. Notably, nuclear, but not secreted, HMGB1 supports the expression of IFN-γ in CD8 T cells via directly regulating the activity of Eomes, the transcription factor for IFN-γ. Functional study shows that HMGB1 promotes the anti-tumor ability of CD8 T cells in vitro and in vivo. Finally, tumor environmental interleukin-7 promotes HMGB1 and IFN-γ production via fatty acid oxidation in CD8 T cells. Overall, we identify the role of nuclear HMGB1 in CD8 T cell differentiation and demonstrate that it plays an important role in the anti-tumor programs of CD8 T cells.
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Affiliation(s)
- Zhiguang Xu
- Department of Spine Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
| | - Weiying Ma
- Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
| | - Ji Wang
- Department of Spine Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
| | - Haofan Chen
- Department of Spine Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China
| | - Hui Li
- School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, P.R. China
| | - Zhinan Yin
- Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, Guangdong, P.R. China; The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou, Guangdong, P.R. China.
| | - Jianlei Hao
- Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital Affiliated with Jinan University, Jinan University, Zhuhai, Guangdong, P.R. China; The Biomedical Translational Research Institute, Faculty of Medical Science, Jinan University, Guangzhou, Guangdong, P.R. China.
| | - Kebing Chen
- Department of Spine Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, P.R. China.
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5
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Mukohara F, Iwata K, Ishino T, Inozume T, Nagasaki J, Ueda Y, Suzawa K, Ueno T, Ikeda H, Kawase K, Saeki Y, Kawashima S, Yamashita K, Kawahara Y, Nakamura Y, Honobe-Tabuchi A, Watanabe H, Dansako H, Kawamura T, Suzuki Y, Honda H, Mano H, Toyooka S, Kawazu M, Togashi Y. Somatic mutations in tumor-infiltrating lymphocytes impact on antitumor immunity. Proc Natl Acad Sci U S A 2024; 121:e2320189121. [PMID: 39167601 PMCID: PMC11363295 DOI: 10.1073/pnas.2320189121] [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: 12/01/2023] [Accepted: 07/05/2024] [Indexed: 08/23/2024] Open
Abstract
Immune checkpoint inhibitors (ICIs) exert clinical efficacy against various types of cancers by reinvigorating exhausted CD8+ T cells that can expand and directly attack cancer cells (cancer-specific T cells) among tumor-infiltrating lymphocytes (TILs). Although some reports have identified somatic mutations in TILs, their effect on antitumor immunity remains unclear. In this study, we successfully established 18 cancer-specific T cell clones, which have an exhaustion phenotype, from the TILs of four patients with melanoma. We conducted whole-genome sequencing for these T cell clones and identified various somatic mutations in them with high clonality. Among the somatic mutations, an SH2D2A loss-of-function frameshift mutation and TNFAIP3 deletion could activate T cell effector functions in vitro. Furthermore, we generated CD8+ T cell-specific Tnfaip3 knockout mice and showed that Tnfaip3 function loss in CD8+ T cell increased antitumor immunity, leading to remarkable response to PD-1 blockade in vivo. In addition, we analyzed bulk CD3+ T cells from TILs in additional 12 patients and identified an SH2D2A mutation in one patient through amplicon sequencing. These findings suggest that somatic mutations in TILs can affect antitumor immunity and suggest unique biomarkers and therapeutic targets.
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Affiliation(s)
- Fumiaki Mukohara
- Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama700-8558, Japan
- Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Okayama University, Okayama700-8558, Japan
| | - Kazuma Iwata
- Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama700-8558, Japan
- Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Okayama University, Okayama700-8558, Japan
| | - Takamasa Ishino
- Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama700-8558, Japan
- Department of Gastroenterology, Graduate School of Medicine, Chiba University, Chiba260-8670, Japan
| | - Takashi Inozume
- Department of Dermatology, Chiba University Graduate School of Medicine, Chiba260-8670, Japan
- Division of Cell Therapy, Chiba Cancer Research Institute, Chiba260-8717, Japan
- Department of Dermatology, University of Yamanashi, Yamanashi409-3898, Japan
| | - Joji Nagasaki
- Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama700-8558, Japan
| | - Youki Ueda
- Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama700-8558, Japan
| | - Ken Suzawa
- Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Okayama University, Okayama700-8558, Japan
| | - Toshihide Ueno
- Division of Cellular Signaling, National Cancer Center Research Institute, Chuo-ku, Tokyo104-0045, Japan
| | - Hideki Ikeda
- Division of Cell Therapy, Chiba Cancer Research Institute, Chiba260-8717, Japan
- Department of Respiratory Medicine, Graduate School of Medicine, Chiba University, Chiba260-8670, Japan
| | - Katsushige Kawase
- Division of Cell Therapy, Chiba Cancer Research Institute, Chiba260-8717, Japan
- Department of Otorhinolaryngology/Head & Neck Surgery, Graduate School of Medicine, Chiba University, Chiba260-8670, Japan
| | - Yuka Saeki
- Department of Dermatology, Chiba University Graduate School of Medicine, Chiba260-8670, Japan
| | - Shusuke Kawashima
- Department of Dermatology, Chiba University Graduate School of Medicine, Chiba260-8670, Japan
- Division of Cell Therapy, Chiba Cancer Research Institute, Chiba260-8717, Japan
| | | | - Yu Kawahara
- Department of Dermatology, Chiba University Graduate School of Medicine, Chiba260-8670, Japan
- Department of Skin Oncology/Dermatology, Saitama Medical University International Medical Center, Saitama350-1298, Japan
| | - Yasuhiro Nakamura
- Department of Skin Oncology/Dermatology, Saitama Medical University International Medical Center, Saitama350-1298, Japan
| | | | - Hiroko Watanabe
- Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama700-8558, Japan
| | - Hiromichi Dansako
- Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama700-8558, Japan
| | - Tatsuyoshi Kawamura
- Department of Dermatology, University of Yamanashi, Yamanashi409-3898, Japan
| | - Yutaka Suzuki
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba277-8568, Japan
| | - Hiroaki Honda
- Department of Pathology, Tokyo Women's Medical University, Shinjuku-ku, Tokyo162-8666, Japan
| | - Hiroyuki Mano
- Division of Cellular Signaling, National Cancer Center Research Institute, Chuo-ku, Tokyo104-0045, Japan
| | - Shinichi Toyooka
- Department of General Thoracic Surgery and Breast and Endocrinological Surgery, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Okayama University, Okayama700-8558, Japan
| | - Masahito Kawazu
- Division of Cell Therapy, Chiba Cancer Research Institute, Chiba260-8717, Japan
- Division of Cellular Signaling, National Cancer Center Research Institute, Chuo-ku, Tokyo104-0045, Japan
| | - Yosuke Togashi
- Department of Tumor Microenvironment, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama700-8558, Japan
- Division of Cell Therapy, Chiba Cancer Research Institute, Chiba260-8717, Japan
- Kindai University, Faculty of Medicine, Osaka-Sayama, Osaka589-0014, Japan
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6
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Zhang XP, Zou WB, Li ZQ, Yu ZT, Yu SB, Lin ZY, Wu FF, Liu PJ, Hu MG, Liu R, Gao YZ. The heterogeneity of cellular metabolism in the tumour microenvironment of hepatocellular carcinoma with portal vein tumour thrombus. Cell Prolif 2024:e13738. [PMID: 39189673 DOI: 10.1111/cpr.13738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Revised: 07/14/2024] [Accepted: 08/15/2024] [Indexed: 08/28/2024] Open
Abstract
Given the growing interest in the metabolic heterogeneity of hepatocellular carcinoma (HCC) and portal vein tumour thrombus (PVTT). This study comprehensively analysed the metabolic heterogeneity of HCC, PVTT, and normal liver samples using multi-omics combinations. A single-cell RNA sequencing dataset encompassing six major cell types was obtained for integrated analysis. The optimal subtypes were identified using cluster stratification and validated using spatial transcriptomics and fluorescent multiplex immunohistochemistry. Then, a combined index based meta-cluster was calculated to verify its prognostic significance using multi-omics data from public cohorts. Our study first depicted the metabolic heterogeneity landscape of non-malignant cells in HCC and PVTT at multiomics levels. The optimal subtypes interpret the metabolic characteristics of PVTT formation and development. The combined index provided effective predictions of prognosis and immunotherapy responses. Patients with a higher combined index had a relatively poor prognosis (p <0.001). We also found metabolism of polyamines was a key metabolic pathway involved in conversion of metabolic heterogeneity in HCC and PVTT, and identified ODC1 was significantly higher expressed in PVTT compared to normal tissue (p =0.03). Our findings revealed both consistency and heterogeneity in the metabolism of non-malignant cells in HCC and PVTT. The risk stratification based on cancer-associated fibroblasts and myeloid cells conduce to predict prognosis and guide treatment. This offers new directions for understanding disease development and immunotherapy responses.
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Affiliation(s)
- Xiu-Ping Zhang
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Medical School of Chinese PLA, Beijing, China
| | - Wen-Bo Zou
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Medical School of Chinese PLA, Beijing, China
- Department of General Surgery, No.924 Hospital of PLA Joint Logistic Support Force, Guilin, China
| | - Zhen-Qi Li
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Medical School of Chinese PLA, Beijing, China
| | - Ze-Tao Yu
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Medical School of Chinese PLA, Beijing, China
| | - Shao-Bo Yu
- Department of Clinical Laboratory, Sir Run Run Shaw Hospital of Zhejiang University School of Medicine, Zhejiang, Hangzhou, China
| | - Zhao-Yi Lin
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Medical School of Chinese PLA, Beijing, China
| | - Fei-Fan Wu
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Medical School of Chinese PLA, Beijing, China
| | - Peng-Jiong Liu
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Medical School of Chinese PLA, Beijing, China
| | - Ming-Gen Hu
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Medical School of Chinese PLA, Beijing, China
| | - Rong Liu
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Medical School of Chinese PLA, Beijing, China
- The First Clinical Medical School, Lanzhou University, Lanzhou, China
- Harbin Institute of Technology, Harbin, China
| | - Yu-Zhen Gao
- Department of Clinical Laboratory, Sir Run Run Shaw Hospital of Zhejiang University School of Medicine, Zhejiang, Hangzhou, China
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7
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Jiang J, Liu Y, Qin J, Chen J, Wu J, Pizzi MP, Lazcano R, Yamashita K, Xu Z, Pei G, Cho KS, Chu Y, Sinjab A, Peng F, Yan X, Han G, Wang R, Dai E, Dai Y, Czerniak BA, Futreal A, Maitra A, Lazar A, Kadara H, Jazaeri AA, Cheng X, Ajani J, Gao J, Hu J, Wang L. METI: deep profiling of tumor ecosystems by integrating cell morphology and spatial transcriptomics. Nat Commun 2024; 15:7312. [PMID: 39181865 PMCID: PMC11344794 DOI: 10.1038/s41467-024-51708-9] [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: 10/06/2023] [Accepted: 08/14/2024] [Indexed: 08/27/2024] Open
Abstract
Recent advances in spatial transcriptomics (ST) techniques provide valuable insights into cellular interactions within the tumor microenvironment (TME). However, most analytical tools lack consideration of histological features and rely on matched single-cell RNA sequencing data, limiting their effectiveness in TME studies. To address this, we introduce the Morphology-Enhanced Spatial Transcriptome Analysis Integrator (METI), an end-to-end framework that maps cancer cells and TME components, stratifies cell types and states, and analyzes cell co-localization. By integrating spatial transcriptomics, cell morphology, and curated gene signatures, METI enhances our understanding of the molecular landscape and cellular interactions within the tissue. We evaluate the performance of METI on ST data generated from various tumor tissues, including gastric, lung, and bladder cancers, as well as premalignant tissues. We also conduct a quantitative comparison of METI with existing clustering and cell deconvolution tools, demonstrating METI's robust and consistent performance.
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Affiliation(s)
- Jiahui Jiang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yunhe Liu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jiangjiang Qin
- Department of Gastric Surgery, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
- Institute of Basic Medicine and Cancer, Chinese Academy of Sciences, Hangzhou, Zhejiang, China
| | - Jianfeng Chen
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jingjing Wu
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Melissa P Pizzi
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Rossana Lazcano
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kohei Yamashita
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Zhiyuan Xu
- Department of Gastric Surgery, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - Guangsheng Pei
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kyung Serk Cho
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Yanshuo Chu
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ansam Sinjab
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Fuduan Peng
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xinmiao Yan
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Guangchun Han
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ruiping Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Enyu Dai
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Yibo Dai
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences (GSBS), Houston, TX, USA
| | - Bogdan A Czerniak
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andrew Futreal
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anirban Maitra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexander Lazar
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Humam Kadara
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Amir A Jazaeri
- Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiangdong Cheng
- Department of Gastric Surgery, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China
| | - Jaffer Ajani
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Gao
- Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jian Hu
- Department of Human Genetics, Emory School of Medicine, Atlanta, GA, USA.
| | - Linghua Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences (GSBS), Houston, TX, USA.
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8
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Yeh CY, Aguirre K, Laveroni O, Kim S, Wang A, Liang B, Zhang X, Han LM, Valbuena R, Bassik MC, Kim YM, Plevritis SK, Snyder MP, Howitt BE, Jerby L. Mapping spatial organization and genetic cell-state regulators to target immune evasion in ovarian cancer. Nat Immunol 2024:10.1038/s41590-024-01943-5. [PMID: 39179931 DOI: 10.1038/s41590-024-01943-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 07/25/2024] [Indexed: 08/26/2024]
Abstract
The drivers of immune evasion are not entirely clear, limiting the success of cancer immunotherapies. Here we applied single-cell spatial and perturbational transcriptomics to delineate immune evasion in high-grade serous tubo-ovarian cancer. To this end, we first mapped the spatial organization of high-grade serous tubo-ovarian cancer by profiling more than 2.5 million cells in situ in 130 tumors from 94 patients. This revealed a malignant cell state that reflects tumor genetics and is predictive of T cell and natural killer cell infiltration levels and response to immune checkpoint blockade. We then performed Perturb-seq screens and identified genetic perturbations-including knockout of PTPN1 and ACTR8-that trigger this malignant cell state. Finally, we show that these perturbations, as well as a PTPN1/PTPN2 inhibitor, sensitize ovarian cancer cells to T cell and natural killer cell cytotoxicity, as predicted. This study thus identifies ways to study and target immune evasion by linking genetic variation, cell-state regulators and spatial biology.
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Affiliation(s)
- Christine Yiwen Yeh
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Karmen Aguirre
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- Cancer Biology Program, Stanford University, Stanford, CA, USA
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Olivia Laveroni
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Subin Kim
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Aihui Wang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Brooke Liang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiaoming Zhang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Lucy M Han
- Department of Pathology, California Pacific Medical Center, San Francisco, CA, USA
| | - Raeline Valbuena
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael C Bassik
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Young-Min Kim
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Sylvia K Plevritis
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA, USA
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael P Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Brooke E Howitt
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
| | - Livnat Jerby
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
- Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
- Chan Zuckerberg Biohub, San Francisco, CA, USA.
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9
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de Kivit S, Mensink M, Kostidis S, Derks RJE, Zaal EA, Heijink M, Verleng LJ, de Vries E, Schrama E, Blomberg N, Berkers CR, Giera M, Borst J. Immune suppression by human thymus-derived effector Tregs relies on glucose/lactate-fueled fatty acid synthesis. Cell Rep 2024; 43:114681. [PMID: 39180751 DOI: 10.1016/j.celrep.2024.114681] [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: 03/18/2024] [Revised: 07/10/2024] [Accepted: 08/08/2024] [Indexed: 08/26/2024] Open
Abstract
Regulatory T cells (Tregs) suppress pro-inflammatory conventional T cell (Tconv) responses. As lipids impact cell signaling and function, we compare the lipid composition of CD4+ thymus-derived (t)Tregs and Tconvs. Lipidomics reveal constitutive enrichment of neutral lipids in Tconvs and phospholipids in tTregs. TNFR2-co-stimulated effector tTregs and Tconvs are both glycolytic, but only in tTregs are glycolysis and the tricarboxylic acid (TCA) cycle linked to a boost in fatty acid (FA) synthesis (FAS), supported by relevant gene expression. FA chains in tTregs are longer and more unsaturated than in Tconvs. In contrast to Tconvs, tTregs effectively use either lactate or glucose for FAS and rely on this process for proliferation. FASN and SCD1, enzymes responsible for FAS and FA desaturation, prove essential for the ability of tTregs to suppress Tconvs. These data illuminate how effector tTregs can thrive in inflamed or cancerous tissues with limiting glucose but abundant lactate levels.
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Affiliation(s)
- Sander de Kivit
- Department of Immunology, Leiden University Medical Center, 2300 RC Leiden, the Netherlands; Oncode Institute, Leiden University Medical Center, 2300 RC Leiden, the Netherlands.
| | - Mark Mensink
- Department of Immunology, Leiden University Medical Center, 2300 RC Leiden, the Netherlands; Oncode Institute, Leiden University Medical Center, 2300 RC Leiden, the Netherlands
| | - Sarantos Kostidis
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, the Netherlands
| | - Rico J E Derks
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, the Netherlands
| | - Esther A Zaal
- Division of Cell Biology, Metabolism, and Cancer, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, 3584 CM Utrecht, the Netherlands
| | - Marieke Heijink
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, the Netherlands
| | - Lotte J Verleng
- Department of Immunology, Leiden University Medical Center, 2300 RC Leiden, the Netherlands; Oncode Institute, Leiden University Medical Center, 2300 RC Leiden, the Netherlands
| | - Evert de Vries
- Department of Immunology, Leiden University Medical Center, 2300 RC Leiden, the Netherlands; Oncode Institute, Leiden University Medical Center, 2300 RC Leiden, the Netherlands
| | - Ellen Schrama
- Department of Immunology, Leiden University Medical Center, 2300 RC Leiden, the Netherlands; Oncode Institute, Leiden University Medical Center, 2300 RC Leiden, the Netherlands
| | - Niek Blomberg
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, the Netherlands
| | - Celia R Berkers
- Division of Cell Biology, Metabolism, and Cancer, Department of Biomolecular Health Sciences, Faculty of Veterinary Medicine, Utrecht University, 3584 CM Utrecht, the Netherlands
| | - Martin Giera
- Center for Proteomics and Metabolomics, Leiden University Medical Center, 2300 RC Leiden, the Netherlands
| | - Jannie Borst
- Department of Immunology, Leiden University Medical Center, 2300 RC Leiden, the Netherlands; Oncode Institute, Leiden University Medical Center, 2300 RC Leiden, the Netherlands.
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10
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Liu KJ, Li HR, Tan QQ, Jiang T, Peng KC, Chen HJ, Zhou Q, Zhang XC, Zheng Z, Chen SY, Zheng X, Zheng HB, Mao BB, Gong LL, Chen XW, Wu W, Wu YL, Jia J, Yang JJ. Tumor immune microenvironment of NSCLC with EGFR exon 20 insertions may predict efficacy of first-line ICI-combined regimen. Lung Cancer 2024; 195:107933. [PMID: 39191079 DOI: 10.1016/j.lungcan.2024.107933] [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: 12/31/2023] [Revised: 07/27/2024] [Accepted: 08/20/2024] [Indexed: 08/29/2024]
Abstract
OBJECTIVES Non-small cell lung cancer (NSCLC) patients with exon 20 insertion mutations (ex20ins) of the epidermal growth factor receptor (EGFR) were resistant to monotherapy of immune checkpoint inhibitor (ICI). However, recent reports have shown that the combination of ICI and chemotherapy (ICI-combined regimen) exhibited certain efficacy for NSCLC with EGFR ex20ins. The mechanisms behind this phenomenon have not been thoroughly clarified. Hence, we conducted this study tofind correlations between the tumor immune microenvironment of EGFR ex20ins and the efficacy of ICI-combined regimen. METHODS We performed single-cell transcriptome sequencing and multiplex immunofluorescence staining (mIF) to investigate the immune microenvironment of NSCLC patients with EGFR ex20ins, L858R, and EGFR wild-type. We analyzed 15 treatment-naïve NSCLC samples utilizing single-cell RNA sequencing (scRNA-seq). Another 30 cases of EGFR L858R and 4 cases of wild-type were recruited to compare the immune microenvironment with that of EGFR ex20ins (28 cases) by mIF. RESULTS We observed that cell components, function and interactions varied between EGFR ex20ins, L858R, and wild-type NSCLC.We discovered similar T cell and CD8+ T cell distributions among groups but found noninferior or even better T cell activation in ex20ins patients. Infiltrating CD8+ FOXP3- T cells were significantly lower in the tumor region of EGFR ex20ins compared to wild-type. T cells from the ex20ins group had a greater tendency to promote cancer cell inflammation and epithelial-mesenchymal transition (EMT) compared to wild-type group. For macrophages, there were more M2-like macrophages in ex20ins patients. M1-like macrophages in ex20ins group produced fewer antitumor cytokines than in other groups. CONCLUSIONS The immune microenvironment of EGFR ex20ins is more suppressive than that of L858R and wild-type, suggesting that ICI monotherapy may not be sufficient for these patients. ICI-combined regimen might be a treatment option for EGFR ex20ins due to tumor-promoting inflammation and noninferior T cell functions in the immune microenvironment.
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Affiliation(s)
- Ke-Jun Liu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hong-Rui Li
- Berry Oncology Corporation, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Quan-Quan Tan
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Tao Jiang
- School of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, Wuhan, China; Divamics Inc., Suzhou, China
| | - Kai-Cheng Peng
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Hua-Jun Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xu-Chao Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Zheng Zheng
- School of Chemistry, Chemical Engineering and Life Science, Wuhan University of Technology, Wuhan, China; Divamics Inc., Suzhou, China
| | - Shi-Yuan Chen
- Dongguan Institute of Clinical Cancer Research, Dongguan Key Laboratory of Precision Diagnosis and Treatment for Tumors, The Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, China
| | - Xue Zheng
- Genecast Biotechnology Co., Ltd, Wuxi, China
| | | | - Bei-Bei Mao
- Genecast Biotechnology Co., Ltd, Wuxi, China
| | | | | | - Wendy Wu
- Berry Oncology Corporation, Fuzhou, China; Fujian Key Laboratory of Advanced Technology for Cancer Screening and Early Diagnosis, Fuzhou, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
| | - Jun Jia
- Dongguan Institute of Clinical Cancer Research, Dongguan Key Laboratory of Precision Diagnosis and Treatment for Tumors, The Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, China.
| | - Jin-Ji Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
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11
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Yang Y, Chen X, Pan J, Ning H, Zhang Y, Bo Y, Ren X, Li J, Qin S, Wang D, Chen MM, Zhang Z. Pan-cancer single-cell dissection reveals phenotypically distinct B cell subtypes. Cell 2024; 187:4790-4811.e22. [PMID: 39047727 DOI: 10.1016/j.cell.2024.06.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 04/25/2024] [Accepted: 06/26/2024] [Indexed: 07/27/2024]
Abstract
Characterizing the compositional and phenotypic characteristics of tumor-infiltrating B cells (TIBs) is important for advancing our understanding of their role in cancer development. Here, we establish a comprehensive resource of human B cells by integrating single-cell RNA sequencing data of B cells from 649 patients across 19 major cancer types. We demonstrate substantial heterogeneity in their total abundance and subtype composition and observe immunoglobulin G (IgG)-skewness of antibody-secreting cell isotypes. Moreover, we identify stress-response memory B cells and tumor-associated atypical B cells (TAABs), two tumor-enriched subpopulations with prognostic potential, shared in a pan-cancer manner. In particular, TAABs, characterized by a high clonal expansion level and proliferative capacity as well as by close interactions with activated CD4 T cells in tumors, are predictive of immunotherapy response. Our integrative resource depicts distinct clinically relevant TIB subsets, laying a foundation for further exploration of functional commonality and diversity of B cells in cancer.
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Affiliation(s)
- Yu Yang
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China
| | - Xueyan Chen
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China
| | - Jieying Pan
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Huiheng Ning
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China
| | - Yaojun Zhang
- State Key Laboratory of Oncology in South China, Department of Liver Surgery, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Yufei Bo
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China
| | - Xianwen Ren
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China
| | - Jiesheng Li
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China
| | - Shishang Qin
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China
| | - Dongfang Wang
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China.
| | - Min-Min Chen
- Institute of Cancer Research, Shenzhen Bay Laboratory, Shenzhen 518132, China.
| | - Zemin Zhang
- Biomedical Pioneering Innovation Center (BIOPIC), Academy for Advanced Interdisciplinary Studies, and School of Life Sciences, Peking University, Beijing 100871, China.
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12
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Zhang Y, Naderi Yeganeh P, Zhang H, Wang SY, Li Z, Gu B, Lee DJ, Zhang Z, Ploumakis A, Shi M, Wu H, Greer EL, Hide W, Lieberman J. Tumor editing suppresses innate and adaptive antitumor immunity and is reversed by inhibiting DNA methylation. Nat Immunol 2024:10.1038/s41590-024-01932-8. [PMID: 39169233 DOI: 10.1038/s41590-024-01932-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 07/13/2024] [Indexed: 08/23/2024]
Abstract
Cancer cells edit gene expression to evade immunosurveillance. However, genome-wide studies of gene editing during early tumorigenesis are lacking. Here we used single-cell RNA sequencing in a breast cancer genetically engineered mouse model (GEMM) to identify edited genes without bias. Late tumors repressed antitumor immunity genes, reducing infiltrating immune cells and tumor-immune cell communications. Innate immune genes, especially interferon-stimulated genes, dominated the list of downregulated tumor genes, while genes that regulate cell-intrinsic malignancy were mostly unedited. Naive and activated CD8+ T cells in early tumors were replaced with exhausted or precursor-exhausted cells in late tumors. Repression of immune genes was reversed by inhibiting DNA methylation using low-dose decitabine, which suppressed tumor growth and restored immune control, increasing the number, functionality and memory of tumor-infiltrating lymphocytes and reducing the number of myeloid suppressor cells. Decitabine induced important interferon, pyroptosis and necroptosis genes, inflammatory cell death and immune control in GEMM and implanted breast and melanoma tumors.
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Affiliation(s)
- Ying Zhang
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA.
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
- Key Laboratory of Cell Proliferation and Differentiation of the Ministry of Education, School of Life Sciences, Peking University, Beijing, China.
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
| | - Pourya Naderi Yeganeh
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Haiwei Zhang
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Simon Yuan Wang
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, USA
| | - Zhouyihan Li
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bowen Gu
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Dian-Jang Lee
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
| | - Zhibin Zhang
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Athanasios Ploumakis
- Harvard Medical School, Boston, MA, USA
- Spatial Technologies Unit, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Ming Shi
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Hao Wu
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, USA
| | - Eric Lieberman Greer
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA
- Division of Newborn Medicine, Boston Children's Hospital, Boston, MA, USA
- Departments of Pediatrics and Genetics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Winston Hide
- Department of Pathology, Beth Israel Deaconess Medical Center, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Judy Lieberman
- Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA, USA.
- Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
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13
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Ruan Z, Zhou W, Liu H, Wei J, Pan Y, Yan C, Wei X, Xiang W, Yan C, Chen S, Liu J. Precise detection of cell-type-specific domains in spatial transcriptomics. CELL REPORTS METHODS 2024; 4:100841. [PMID: 39127046 DOI: 10.1016/j.crmeth.2024.100841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 06/17/2024] [Accepted: 07/17/2024] [Indexed: 08/12/2024]
Abstract
Cell-type-specific domains are the anatomical domains in spatially resolved transcriptome (SRT) tissues where particular cell types are enriched coincidentally. It is challenging to use existing computational methods to detect specific domains with low-proportion cell types, which are partly overlapped with or even inside other cell-type-specific domains. Here, we propose De-spot, which synthesizes segmentation and deconvolution as an ensemble to generate cell-type patterns, detect low-proportion cell-type-specific domains, and display these domains intuitively. Experimental evaluation showed that De-spot enabled us to discover the co-localizations between cancer-associated fibroblasts and immune-related cells that indicate potential tumor microenvironment (TME) domains in given slices, which were obscured by previous computational methods. We further elucidated the identified domains and found that Srgn may be a critical TME marker in SRT slices. By deciphering T cell-specific domains in breast cancer tissues, De-spot also revealed that the proportions of exhausted T cells were significantly increased in invasive vs. ductal carcinoma.
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Affiliation(s)
- Zhihan Ruan
- Centre for Bioinformatics and Intelligent Medicine, College of Computer Science, Nankai University, Tianjin 300350, China
| | - Weijun Zhou
- Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Hong Liu
- The Second Surgical Department of Breast Cancer, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute & Hospital, Tianjin 300060, China
| | - Jinmao Wei
- Centre for Bioinformatics and Intelligent Medicine, College of Computer Science, Nankai University, Tianjin 300350, China
| | - Yichen Pan
- Centre for Bioinformatics and Intelligent Medicine, College of Computer Science, Nankai University, Tianjin 300350, China
| | - Chaoyang Yan
- Centre for Bioinformatics and Intelligent Medicine, College of Computer Science, Nankai University, Tianjin 300350, China
| | - Xiaoyi Wei
- Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai 519000, China
| | - Wenting Xiang
- Centre for Bioinformatics and Intelligent Medicine, College of Computer Science, Nankai University, Tianjin 300350, China
| | - Chengwei Yan
- Centre for Bioinformatics and Intelligent Medicine, College of Computer Science, Nankai University, Tianjin 300350, China
| | - Shengquan Chen
- School of Mathematical Sciences, Nankai University, Tianjin 300350, China
| | - Jian Liu
- State Key Laboratory of Medicinal Chemical Biology, College of Computer Science, Nankai University, Tianjin 300350, China.
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14
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Fu Y, Guo X, Sun L, Cui T, Wu C, Wang J, Liu Y, Liu L. Exploring the role of the immune microenvironment in hepatocellular carcinoma: Implications for immunotherapy and drug resistance. eLife 2024; 13:e95009. [PMID: 39146202 PMCID: PMC11326777 DOI: 10.7554/elife.95009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 08/04/2024] [Indexed: 08/17/2024] Open
Abstract
Hepatocellular carcinoma (HCC), the most common type of liver tumor, is a leading cause of cancer-related deaths, and the incidence of liver cancer is still increasing worldwide. Curative hepatectomy or liver transplantation is only indicated for a small population of patients with early-stage HCC. However, most patients with HCC are not candidates for radical resection due to disease progression, leading to the choice of the conventional tyrosine kinase inhibitor drug sorafenib as first-line treatment. In the past few years, immunotherapy, mainly immune checkpoint inhibitors (ICIs), has revolutionized the clinical strategy for HCC. Combination therapy with ICIs has proven more effective than sorafenib, and clinical trials have been conducted to apply these therapies to patients. Despite significant progress in immunotherapy, the molecular mechanisms behind it remain unclear, and immune resistance is often challenging to overcome. Several studies have pointed out that the complex intercellular communication network in the immune microenvironment of HCC regulates tumor escape and drug resistance to immune response. This underscores the urgent need to analyze the immune microenvironment of HCC. This review describes the immunosuppressive cell populations in the immune microenvironment of HCC, as well as the related clinical trials, aiming to provide insights for the next generation of precision immunotherapy.
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Affiliation(s)
- Yumin Fu
- Department of Hepatobiliary Surgery, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Provincial Key Laboratory of Hepatopancreatobiliary Surgery, Hefei, China
- Anhui Provincial Clinical Research Center for Hepatobiliary Diseases, Hefei, China
| | - Xinyu Guo
- Department of General Surgery, Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Linmao Sun
- Department of Hepatobiliary Surgery, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Provincial Key Laboratory of Hepatopancreatobiliary Surgery, Hefei, China
- Anhui Provincial Clinical Research Center for Hepatobiliary Diseases, Hefei, China
| | - Tianming Cui
- Department of Hepatobiliary Surgery, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Provincial Key Laboratory of Hepatopancreatobiliary Surgery, Hefei, China
- Anhui Provincial Clinical Research Center for Hepatobiliary Diseases, Hefei, China
| | - Chenghui Wu
- Department of Hepatobiliary Surgery, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Provincial Key Laboratory of Hepatopancreatobiliary Surgery, Hefei, China
- Anhui Provincial Clinical Research Center for Hepatobiliary Diseases, Hefei, China
| | - Jiabei Wang
- Department of Hepatobiliary Surgery, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Provincial Key Laboratory of Hepatopancreatobiliary Surgery, Hefei, China
- Anhui Provincial Clinical Research Center for Hepatobiliary Diseases, Hefei, China
| | - Yao Liu
- Department of Hepatobiliary Surgery, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Provincial Key Laboratory of Hepatopancreatobiliary Surgery, Hefei, China
- Anhui Provincial Clinical Research Center for Hepatobiliary Diseases, Hefei, China
| | - Lianxin Liu
- Department of Hepatobiliary Surgery, Centre for Leading Medicine and Advanced Technologies of IHM, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Anhui Provincial Key Laboratory of Hepatopancreatobiliary Surgery, Hefei, China
- Anhui Provincial Clinical Research Center for Hepatobiliary Diseases, Hefei, China
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15
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Gavil NV, Cheng K, Masopust D. Resident memory T cells and cancer. Immunity 2024; 57:1734-1751. [PMID: 39142275 DOI: 10.1016/j.immuni.2024.06.017] [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: 03/04/2024] [Revised: 05/04/2024] [Accepted: 06/28/2024] [Indexed: 08/16/2024]
Abstract
Tissue-resident memory T (TRM) cells positively correlate with cancer survival, but the anti-tumor mechanisms underlying this relationship are not understood. This review reconciles these observations, summarizing concepts of T cell immunosurveillance, fundamental TRM cell biology, and clinical observations on the role of TRM cells in cancer and immunotherapy outcomes. We also discuss emerging strategies that utilize TRM-phenotype cells for patient diagnostics, staging, and therapy. Current challenges are highlighted, including a lack of standardized T cell nomenclature and our limited understanding of relationships between T cell markers and underlying tumor biology. Existing findings are integrated into a summary of the field while emphasizing opportunities for future research.
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Affiliation(s)
- Noah Veis Gavil
- Department of Microbiology and Immunology, University of Minnesota Medical School, Minneapolis, MN 55455, USA; Center for Immunology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - Katarina Cheng
- Department of Microbiology and Immunology, University of Minnesota Medical School, Minneapolis, MN 55455, USA; Center for Immunology, University of Minnesota Medical School, Minneapolis, MN 55455, USA; Department of Laboratory Medicine and Pathology, University of Minnesota Medical School, Minneapolis, MN 55455, USA
| | - David Masopust
- Department of Microbiology and Immunology, University of Minnesota Medical School, Minneapolis, MN 55455, USA; Center for Immunology, University of Minnesota Medical School, Minneapolis, MN 55455, USA.
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16
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Byrne A, Le D, Sereti K, Menon H, Vaidya S, Patel N, Lund J, Xavier-Magalhães A, Shi M, Liang Y, Sterne-Weiler T, Modrusan Z, Stephenson W. Single-cell long-read targeted sequencing reveals transcriptional variation in ovarian cancer. Nat Commun 2024; 15:6916. [PMID: 39134520 PMCID: PMC11319652 DOI: 10.1038/s41467-024-51252-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 07/31/2024] [Indexed: 08/15/2024] Open
Abstract
Single-cell RNA sequencing predominantly employs short-read sequencing to characterize cell types, states and dynamics; however, it is inadequate for comprehensive characterization of RNA isoforms. Long-read sequencing technologies enable single-cell RNA isoform detection but are hampered by lower throughput and unintended sequencing of artifacts. Here we develop Single-cell Targeted Isoform Long-Read Sequencing (scTaILoR-seq), a hybridization capture method which targets over a thousand genes of interest, improving the median number of on-target transcripts per cell by 29-fold. We use scTaILoR-seq to identify and quantify RNA isoforms from ovarian cancer cell lines and primary tumors, yielding 10,796 single-cell transcriptomes. Using long-read variant calling we reveal associations of expressed single nucleotide variants (SNVs) with alternative transcript structures. Phasing of SNVs across transcripts enables the measurement of allelic imbalance within distinct cell populations. Overall, scTaILoR-seq is a long-read targeted RNA sequencing method and analytical framework for exploring transcriptional variation at single-cell resolution.
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Affiliation(s)
- Ashley Byrne
- Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA
| | - Daniel Le
- Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA
| | - Kostianna Sereti
- Department of Discovery Oncology, Genentech, South San Francisco, CA, USA
| | - Hari Menon
- Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA
| | - Samir Vaidya
- Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA
| | - Neha Patel
- Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA
| | - Jessica Lund
- Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA
| | - Ana Xavier-Magalhães
- Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA
| | - Minyi Shi
- Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA
| | - Yuxin Liang
- Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA
| | - Timothy Sterne-Weiler
- Department of Discovery Oncology, Genentech, South San Francisco, CA, USA
- Department of Oncology Bioinformatics, Genentech, South San Francisco, CA, USA
| | - Zora Modrusan
- Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.
| | - William Stephenson
- Department of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.
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17
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Hu W, Zhao Z, Du J, Jiang J, Yang M, Tian M, Zhao P. Interferon signaling and ferroptosis in tumor immunology and therapy. NPJ Precis Oncol 2024; 8:177. [PMID: 39127858 DOI: 10.1038/s41698-024-00668-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 07/29/2024] [Indexed: 08/12/2024] Open
Abstract
This study sought to elucidate the mechanisms underlying the impact of the interferon signaling pathway on Ferroptosis in tumor cells and its correlation with CD8 + T cell exhaustion. Using mouse models and single-cell sequencing, the researchers studied the interaction between CD8 + T cells and the interferon signaling pathway. Differential gene analysis revealed key genes involved in CD8 + T cell exhaustion, and their downstream factors were explored using bioinformatics tools. The expression levels of interferon-related genes associated with Ferroptosis were analyzed using data from the TCGA database, and their relevance to tumor tissue Ferroptosis and patients' prognosis was determined. In vitro experiments were conducted to measure the levels of IFN-γ, MDA, and LPO, as well as tumor cell viability and apoptosis. In vivo validation using a mouse tumor model confirmed the results obtained from the in vitro experiments, highlighting the potential of silencing HSPA6 or DNAJB1 in enhancing the efficacy of PD-1 therapy and inhibiting tumor growth and migration.
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Affiliation(s)
- Wei Hu
- Department of Breast Surgery, Zibo Central Hospital Affiliated to Binzhou Medical University, Zibo, PR China
| | - Ziqian Zhao
- The Second Medical College, Xinjiang Medical University, Urumqii, PR China
| | - Jianxin Du
- Center of Translational Medicine, Zibo Central Hospital Affiliated to Binzhou Medical University, Zibo, PR China
| | - Jie Jiang
- Department of Clinical Laboratory, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, PR China
| | - Minghao Yang
- Department of Clinical Laboratory, Yantai Affiliated Hospital of Binzhou Medical University, Yantai, PR China
| | - Maojin Tian
- Center of Translational Medicine, Zibo Central Hospital Affiliated to Binzhou Medical University, Zibo, PR China.
| | - Peiqing Zhao
- Center of Translational Medicine, Zibo Central Hospital Affiliated to Binzhou Medical University, Zibo, PR China.
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18
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Ren F, Wang L, Wang Y, Wang J, Wang Y, Song X, Zhang G, Nie F, Lin S. Single-cell transcriptome profiles the heterogeneity of tumor cells and microenvironments for different pathological endometrial cancer and identifies specific sensitive drugs. Cell Death Dis 2024; 15:571. [PMID: 39112478 PMCID: PMC11306564 DOI: 10.1038/s41419-024-06960-8] [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: 04/16/2024] [Revised: 07/23/2024] [Accepted: 07/29/2024] [Indexed: 08/10/2024]
Abstract
Endometrial cancer (EC) is a highly heterogeneous malignancy characterized by varied pathology and prognoses, and the heterogeneity of its cancer cells and the tumor microenvironment (TME) remains poorly understood. We conducted single-cell RNA sequencing (scRNA-seq) on 18 EC samples, encompassing various pathological types to delineate their specific unique transcriptional landscapes. Cancer cells from diverse pathological sources displayed distinct hallmarks labeled as immune-modulating, proliferation-modulating, and metabolism-modulating cancer cells in uterine clear cell carcinomas (UCCC), well-differentiated endometrioid endometrial carcinomas (EEC-I), and uterine serous carcinomas (USC), respectively. Cancer cells from the UCCC exhibited the greatest heterogeneity. We also identified potential effective drugs and confirmed their effectiveness using patient-derived EC organoids for each pathological group. Regarding the TME, we observed that prognostically favorable CD8+ Tcyto and NK cells were prominent in normal endometrium, whereas CD4+ Treg, CD4+ Tex, and CD8+ Tex cells dominated the tumors. CXCL3+ macrophages associated with M2 signature and angiogenesis were exclusively found in tumors. Prognostically relevant epithelium-specific cancer-associated fibroblasts (eCAFs) and SOD2+ inflammatory CAFs (iCAFs) predominated in EEC-I and UCCC groups, respectively. We also validated the oncogenic effects of SOD2+ iCAFs in vitro. Our comprehensive study has yielded deeper insights into the pathogenesis of EC, potentially facilitating personalized treatments for its varied pathological types.
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Affiliation(s)
- Fang Ren
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | - Lingfang Wang
- Zhejiang Provincial Key Laboratory of Precision Diagnosis and Therapy for Major Gynecological Diseases, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yuyouye Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jiaxuan Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yuanpei Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xiaole Song
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Gong Zhang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Fangfang Nie
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Shitong Lin
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Avenue, 430022, Wuhan, Hubei, PR China.
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19
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Soula M, Unlu G, Welch R, Chudnovskiy A, Uygur B, Shah V, Alwaseem H, Bunk P, Subramanyam V, Yeh HW, Khan A, Heissel S, Goodarzi H, Victora GD, Beyaz S, Birsoy K. Glycosphingolipid synthesis mediates immune evasion in KRAS-driven cancer. Nature 2024:10.1038/s41586-024-07787-1. [PMID: 39112706 DOI: 10.1038/s41586-024-07787-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 07/03/2024] [Indexed: 08/17/2024]
Abstract
Cancer cells frequently alter their lipids to grow and adapt to their environment1-3. Despite the critical functions of lipid metabolism in membrane physiology, signalling and energy production, how specific lipids contribute to tumorigenesis remains incompletely understood. Here, using functional genomics and lipidomic approaches, we identified de novo sphingolipid synthesis as an essential pathway for cancer immune evasion. Synthesis of sphingolipids is surprisingly dispensable for cancer cell proliferation in culture or in immunodeficient mice but required for tumour growth in multiple syngeneic models. Blocking sphingolipid production in cancer cells enhances the anti-proliferative effects of natural killer and CD8+ T cells partly via interferon-γ (IFNγ) signalling. Mechanistically, depletion of glycosphingolipids increases surface levels of IFNγ receptor subunit 1 (IFNGR1), which mediates IFNγ-induced growth arrest and pro-inflammatory signalling. Finally, pharmacological inhibition of glycosphingolipid synthesis synergizes with checkpoint blockade therapy to enhance anti-tumour immune response. Altogether, our work identifies glycosphingolipids as necessary and limiting metabolites for cancer immune evasion.
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Affiliation(s)
- Mariluz Soula
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Gokhan Unlu
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Rachel Welch
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Aleksey Chudnovskiy
- Laboratory of Lymphocyte Dynamics, The Rockefeller University, New York, NY, USA
| | - Beste Uygur
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Vyom Shah
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Hanan Alwaseem
- The Proteomics Resource Center, The Rockefeller University, New York, NY, USA
| | - Paul Bunk
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Vishvak Subramanyam
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Hsi-Wen Yeh
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Artem Khan
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA
| | - Søren Heissel
- The Proteomics Resource Center, The Rockefeller University, New York, NY, USA
| | - Hani Goodarzi
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Department of Urology, University of California, San Francisco, San Francisco, CA, USA
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA
| | - Gabriel D Victora
- Laboratory of Lymphocyte Dynamics, The Rockefeller University, New York, NY, USA
| | - Semir Beyaz
- Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA
| | - Kıvanç Birsoy
- Laboratory of Metabolic Regulation and Genetics, The Rockefeller University, New York, NY, USA.
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20
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Yan S, Zhang X, Lin Q, Du M, Li Y, He S, Chen J, Li X, Bei J, Chen S, Song M. Deciphering the interplay of HPV infection, MHC-II expression, and CXCL13 + CD4 + T cell activation in oropharyngeal cancer: implications for immunotherapy. Cancer Immunol Immunother 2024; 73:206. [PMID: 39105803 PMCID: PMC11303625 DOI: 10.1007/s00262-024-03789-0] [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] [Received: 03/30/2024] [Accepted: 07/22/2024] [Indexed: 08/07/2024]
Abstract
BACKGROUND Human papillomavirus (HPV) infection has become an important etiological driver of oropharyngeal squamous cell carcinoma (OPSCC), leading to unique tumor characteristics. However, the interplay between HPV-associated tumor cells and tumor microenvironment (TME) remains an enigma. METHODS We performed a single-cell RNA-sequencing (scRNA-seq) on HPV-positive (HPV+) and HPV-negative (HPV‒) OPSCC tumors, each for three samples, and one normal tonsil tissue. Ex vivo validation assays including immunofluorescence staining, cell line co-culture, and flow cytometry analysis were used to test specific subtypes of HPV+ tumor cells and their communications with T cells. RESULTS Through a comprehensive single-cell transcriptome analysis, we uncover the distinct transcriptional signatures between HPV+ and HPV‒ OPSCC. Specifically, HPV+ OPSCC tumor cells manifest an enhanced interferon response and elevated expression of the major histocompatibility complex II (MHC-II), potentially bolstering tumor recognition and immune response. Furthermore, we identify a CXCL13+CD4+ T cell subset that exhibits dual features of both follicular and pro-inflammatory helper T cells. Noteworthily, HPV+ OPSCC tumor cells embrace extensive intercellular communications with CXCL13+CD4+ T cells. Interaction with HPV+ OPSCC tumor cells amplifies CXCL13 and IFNγ release in CD4+T cells, fostering a pro-inflammatory TME. Additionally, HPV+ tumor cells expressing high MHC-II and CXCL13+CD4+ T cell prevalence are indicative of favorable overall survival rates in OPSCC patients. CONCLUSIONS Together, our study underscores a synergistic inflammatory immune response orchestrated by highly immunogenic tumor cells and CXCL13+CD4+ T cells in HPV+ OPSCC, offering useful insights into strategy development for patient stratification and effective immunotherapy in OPSCC.
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Affiliation(s)
- Shida Yan
- Department of Head and Neck Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Xing Zhang
- Department of Head and Neck Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Qiaohong Lin
- Department of Head and Neck Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Mingyuan Du
- Department of Head and Neck Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yiqi Li
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Shuai He
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Jingtao Chen
- Department of Head and Neck Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Xiyuan Li
- Department of Head and Neck Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Jinxin Bei
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Shuwei Chen
- Department of Head and Neck Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
| | - Ming Song
- Department of Head and Neck Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou, 510060, China.
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
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Li J, Zhang Y, Liang C, Yan X, Hui X, Liu Q. Advancing precision medicine in gliomas through single-cell sequencing: unveiling the complex tumor microenvironment. Front Cell Dev Biol 2024; 12:1396836. [PMID: 39156969 PMCID: PMC11327033 DOI: 10.3389/fcell.2024.1396836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 07/22/2024] [Indexed: 08/20/2024] Open
Abstract
Glioblastoma (GBM) displays an infiltrative growth characteristic that recruits neighboring normal cells to facilitate tumor growth, maintenance, and invasion into the brain. While the blood-brain barrier serves as a critical natural defense mechanism for the central nervous system, GBM disrupts this barrier, resulting in the infiltration of macrophages from the peripheral bone marrow and the activation of resident microglia. Recent advancements in single-cell transcriptomics and spatial transcriptomics have refined the categorization of cells within the tumor microenvironment for precise identification. The intricate interactions and influences on cell growth within the tumor microenvironment under multi-omics conditions are succinctly outlined. The factors and mechanisms involving microglia, macrophages, endothelial cells, and T cells that impact the growth of GBM are individually examined. The collaborative mechanisms of tumor cell-immune cell interactions within the tumor microenvironment synergistically promote the growth, infiltration, and metastasis of gliomas, while also influencing the immune status and therapeutic response of the tumor microenvironment. As immunotherapy continues to progress, targeting the cells within the inter-tumor microenvironment emerges as a promising novel therapeutic approach for GBM. By comprehensively understanding and intervening in the intricate cellular interactions within the tumor microenvironment, novel therapeutic modalities may be developed to enhance treatment outcomes for patients with GBM.
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Affiliation(s)
- Jinwei Li
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Neurosurgery, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
| | - Yang Zhang
- Graduate School of Medicine, Kunming Medical University, Kunming, Yunnan, China
| | - Cong Liang
- Department of Pharmacy, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
| | - Xianlei Yan
- Department of Neurosurgery, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
| | - Xuhui Hui
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Quan Liu
- Department of Neurosurgery, Liuzhou Workers Hospital, Liuzhou, Guangxi, China
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22
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Guo DZ, Zhang X, Zhang SQ, Zhang SY, Zhang XY, Yan JY, Dong SY, Zhu K, Yang XR, Fan J, Zhou J, Huang A. Single-cell tumor heterogeneity landscape of hepatocellular carcinoma: unraveling the pro-metastatic subtype and its interaction loop with fibroblasts. Mol Cancer 2024; 23:157. [PMID: 39095854 PMCID: PMC11295380 DOI: 10.1186/s12943-024-02062-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 07/05/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Tumor heterogeneity presents a formidable challenge in understanding the mechanisms driving tumor progression and metastasis. The heterogeneity of hepatocellular carcinoma (HCC) in cellular level is not clear. METHODS Integration analysis of single-cell RNA sequencing data and spatial transcriptomics data was performed. Multiple methods were applied to investigate the subtype of HCC tumor cells. The functional characteristics, translation factors, clinical implications and microenvironment associations of different subtypes of tumor cells were analyzed. The interaction of subtype and fibroblasts were analyzed. RESULTS We established a heterogeneity landscape of HCC malignant cells by integrated 52 single-cell RNA sequencing data and 5 spatial transcriptomics data. We identified three subtypes in tumor cells, including ARG1+ metabolism subtype (Metab-subtype), TOP2A+ proliferation phenotype (Prol-phenotype), and S100A6+ pro-metastatic subtype (EMT-subtype). Enrichment analysis found that the three subtypes harbored different features, that is metabolism, proliferating, and epithelial-mesenchymal transition. Trajectory analysis revealed that both Metab-subtype and EMT-subtype originated from the Prol-phenotype. Translation factor analysis found that EMT-subtype showed exclusive activation of SMAD3 and TGF-β signaling pathway. HCC dominated by EMT-subtype cells harbored an unfavorable prognosis and a deserted microenvironment. We uncovered a positive loop between tumor cells and fibroblasts mediated by SPP1-CD44 and CCN2/TGF-β-TGFBR1 interaction pairs. Inhibiting CCN2 disrupted the loop, mitigated the transformation to EMT-subtype, and suppressed metastasis. CONCLUSION By establishing a heterogeneity landscape of malignant cells, we identified a three-subtype classification in HCC. Among them, S100A6+ tumor cells play a crucial role in metastasis. Targeting the feedback loop between tumor cells and fibroblasts is a promising anti-metastatic strategy.
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Affiliation(s)
- De-Zhen Guo
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xin Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Sen-Quan Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Shi-Yu Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xiang-Yu Zhang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jia-Yan Yan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - San-Yuan Dong
- Department of Radiology, Zhongshan Hospital, Shanghai Institute of Medical Imaging, Fudan University, Shanghai, 200032, China
| | - Kai Zhu
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xin-Rong Yang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Jia Fan
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Institute of Biomedical Sciences, Fudan University, Shanghai, 200032, China
| | - Jian Zhou
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Institute of Biomedical Sciences, Fudan University, Shanghai, 200032, China.
- State Key Laboratory of Genetic Engineering, Fudan University, Shanghai, 200032, China.
| | - Ao Huang
- Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, Fudan University, Key Laboratory of Carcinogenesis and Cancer Invasion (Fudan University), Ministry of Education, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
- Shanghai Key Laboratory of Organ Transplantation, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
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23
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Sultan H, Takeuchi Y, Ward JP, Sharma N, Liu TT, Sukhov V, Firulyova M, Song Y, Ameh S, Brioschi S, Khantakova D, Arthur CD, White JM, Kohlmiller H, Salazar AM, Burns R, Costa HA, Moynihan KD, Yeung YA, Djuretic I, Schumacher TN, Sheehan KCF, Colonna M, Allison JP, Murphy KM, Artyomov MN, Schreiber RD. Neoantigen-specific cytotoxic Tr1 CD4 T cells suppress cancer immunotherapy. Nature 2024; 632:182-191. [PMID: 39048822 PMCID: PMC11291290 DOI: 10.1038/s41586-024-07752-y] [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: 10/28/2022] [Accepted: 06/25/2024] [Indexed: 07/27/2024]
Abstract
CD4+ T cells can either enhance or inhibit tumour immunity. Although regulatory T cells have long been known to impede antitumour responses1-5, other CD4+ T cells have recently been implicated in inhibiting this response6,7. Yet, the nature and function of the latter remain unclear. Here, using vaccines containing MHC class I (MHC-I) neoantigens (neoAgs) and different doses of tumour-derived MHC-II neoAgs, we discovered that whereas the inclusion of vaccines with low doses of MHC-II-restricted peptides (LDVax) promoted tumour rejection, vaccines containing high doses of the same MHC-II neoAgs (HDVax) inhibited rejection. Characterization of the inhibitory cells induced by HDVax identified them as type 1 regulatory T (Tr1) cells expressing IL-10, granzyme B, perforin, CCL5 and LILRB4. Tumour-specific Tr1 cells suppressed tumour rejection induced by anti-PD1, LDVax or adoptively transferred tumour-specific effector T cells. Mechanistically, HDVax-induced Tr1 cells selectively killed MHC-II tumour antigen-presenting type 1 conventional dendritic cells (cDC1s), leading to low numbers of cDC1s in tumours. We then documented modalities to overcome this inhibition, specifically via anti-LILRB4 blockade, using a CD8-directed IL-2 mutein, or targeted loss of cDC2/monocytes. Collectively, these data show that cytotoxic Tr1 cells, which maintain peripheral tolerance, also inhibit antitumour responses and thereby function to impede immune control of cancer.
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Affiliation(s)
- Hussein Sultan
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Yoshiko Takeuchi
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Jeffrey P Ward
- Department of Medicine, Division of Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Naveen Sharma
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Tian-Tian Liu
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Vladimir Sukhov
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Maria Firulyova
- Almazov National Medical Research Centre, St. Petersburg, Russia
| | - Yuang Song
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Samuel Ameh
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Simone Brioschi
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Darya Khantakova
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Cora D Arthur
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - J Michael White
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Heather Kohlmiller
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | | | | | | | | | | | | | - Ton N Schumacher
- Netherlands Cancer Institute, Oncode Institute, Amsterdam, Leiden University, Leiden, Netherlands
| | - Kathleen C F Sheehan
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA
| | - Marco Colonna
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - James P Allison
- Department of Immunology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
- The Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA
| | - Kenneth M Murphy
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Maxim N Artyomov
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Robert D Schreiber
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
- The Andrew M. and Jane M. Bursky Center for Human Immunology and Immunotherapy Programs, Washington University School of Medicine, St. Louis, MO, USA.
- The Parker Institute for Cancer Immunotherapy, San Francisco, CA, USA.
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24
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Pan X, Li X, Dong L, Liu T, Zhang M, Zhang L, Zhang X, Huang L, Shi W, Sun H, Fang Z, Sun J, Huang Y, Shao H, Wang Y, Yin M. Tumour vasculature at single-cell resolution. Nature 2024; 632:429-436. [PMID: 38987599 DOI: 10.1038/s41586-024-07698-1] [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: 07/13/2023] [Accepted: 06/10/2024] [Indexed: 07/12/2024]
Abstract
Tumours can obtain nutrients and oxygen required to progress and metastasize through the blood supply1. Inducing angiogenesis involves the sprouting of established vessel beds and their maturation into an organized network2,3. Here we generate a comprehensive atlas of tumour vasculature at single-cell resolution, encompassing approximately 200,000 cells from 372 donors representing 31 cancer types. Trajectory inference suggested that tumour angiogenesis was initiated from venous endothelial cells and extended towards arterial endothelial cells. As neovascularization elongates (through angiogenic stages SI, SII and SIII), APLN+ tip cells at the SI stage (APLN+ TipSI) advanced to TipSIII cells with increased Notch signalling. Meanwhile, stalk cells, following tip cells, transitioned from high chemokine expression to elevated TEK (also known as Tie2) expression. Moreover, APLN+ TipSI cells not only were associated with disease progression and poor prognosis but also hold promise for predicting response to anti-VEGF therapy. Lymphatic endothelial cells demonstrated two distinct differentiation lineages: one responsible for lymphangiogenesis and the other involved in antigen presentation. In pericytes, endoplasmic reticulum stress was associated with the proangiogenic BASP1+ matrix-producing pericytes. Furthermore, intercellular communication analysis showed that neovascular endothelial cells could shape an immunosuppressive microenvironment conducive to angiogenesis. This study depicts the complexity of tumour vasculature and has potential clinical significance for anti-angiogenic therapy.
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Affiliation(s)
- Xu Pan
- Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, China
- Department of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, China
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China
| | - Xin Li
- Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, China
- Chongqing Technical Innovation Center for Quality Evaluation and Identification of Authentic Medicinal Herbs, Chongqing, China
- School of Medicine, Chongqing University, Chongqing, China
| | - Liang Dong
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Teng Liu
- Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, China
- Chongqing Technical Innovation Center for Quality Evaluation and Identification of Authentic Medicinal Herbs, Chongqing, China
- School of Medicine, Chongqing University, Chongqing, China
| | - Min Zhang
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Lining Zhang
- Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, China
- Chongqing Technical Innovation Center for Quality Evaluation and Identification of Authentic Medicinal Herbs, Chongqing, China
- School of Medicine, Chongqing University, Chongqing, China
| | - Xiyuan Zhang
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Lingjuan Huang
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China
| | - Wensheng Shi
- Department of Urology, Xiangya Hospital, Central South University, Changsha, China
| | - Hongyin Sun
- Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, China
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, China
| | - Zhaoyu Fang
- Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering at Central South University, Changsha, China
| | - Jie Sun
- Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, China
- Chongqing Technical Innovation Center for Quality Evaluation and Identification of Authentic Medicinal Herbs, Chongqing, China
- School of Medicine, Chongqing University, Chongqing, China
| | - Yaoxuan Huang
- Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, China
- Chongqing Technical Innovation Center for Quality Evaluation and Identification of Authentic Medicinal Herbs, Chongqing, China
- School of Medicine, Chongqing University, Chongqing, China
| | - Hua Shao
- Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, China
- Chongqing Technical Innovation Center for Quality Evaluation and Identification of Authentic Medicinal Herbs, Chongqing, China
- School of Medicine, Chongqing University, Chongqing, China
| | - Yeqi Wang
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College of Chongqing University, Chongqing, China
| | - Mingzhu Yin
- Clinical Research Center (CRC), Medical Pathology Center (MPC), Cancer Early Detection and Treatment Center (CEDTC) and Translational Medicine Research Center (TMRC), Chongqing University Three Gorges Hospital, Chongqing University, Chongqing, China.
- Chongqing Technical Innovation Center for Quality Evaluation and Identification of Authentic Medicinal Herbs, Chongqing, China.
- School of Medicine, Chongqing University, Chongqing, China.
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, China.
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25
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Dobersalske C, Rauschenbach L, Hua Y, Berliner C, Steinbach A, Grüneboom A, Kokkaliaris KD, Heiland DH, Berger P, Langer S, Tan CL, Stenzel M, Landolsi S, Weber F, Darkwah Oppong M, Werner RA, Gull H, Schröder T, Linsenmann T, Buck AK, Gunzer M, Stuschke M, Keyvani K, Forsting M, Glas M, Kipnis J, Steindler DA, Reinhardt HC, Green EW, Platten M, Tasdogan A, Herrmann K, Rambow F, Cima I, Sure U, Scheffler B. Cranioencephalic functional lymphoid units in glioblastoma. Nat Med 2024:10.1038/s41591-024-03152-x. [PMID: 39085419 DOI: 10.1038/s41591-024-03152-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 06/25/2024] [Indexed: 08/02/2024]
Abstract
The ecosystem of brain tumors is considered immunosuppressed, but our current knowledge may be incomplete. Here we analyzed clinical cell and tissue specimens derived from patients presenting with glioblastoma or nonmalignant intracranial disease to report that the cranial bone (CB) marrow, in juxtaposition to treatment-naive glioblastoma tumors, harbors active lymphoid populations at the time of initial diagnosis. Clinical and anatomical imaging, single-cell molecular and immune cell profiling and quantification of tumor reactivity identified CD8+ T cell clonotypes in the CB that were also found in the tumor. These were characterized by acute and durable antitumor response rooted in the entire T cell developmental spectrum. In contrast to distal bone marrow, the CB niche proximal to the tumor showed increased frequencies of tumor-reactive CD8+ effector types expressing the lymphoid egress marker S1PR1. In line with this, cranial enhancement of CXCR4 radiolabel may serve as a surrogate marker indicating focal association with improved progression-free survival. The data of this study advocate preservation and further exploitation of these cranioencephalic units for the clinical care of glioblastoma.
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Affiliation(s)
- Celia Dobersalske
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
| | - Laurèl Rauschenbach
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuroscience and Behavioral Science (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Yichao Hua
- Department of Applied Computational Cancer Research, IKIM, University Hospital Essen, Essen, Germany
| | - Christoph Berliner
- Department of Nuclear Medicine, University Hospital Essen, Essen, Germany
| | - Anita Steinbach
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
| | - Anika Grüneboom
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Dortmund, Germany
| | - Konstantinos D Kokkaliaris
- Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany
- DKTK, German Cancer Consortium, partner site Frankfurt/Mainz, Quantitative Spatial Cancer Biology Laboratory, University Hospital Frankfurt, Frankfurt am Main, Germany
- Frankfurt Cancer Institute (FCI), Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Dieter H Heiland
- DKTK, German Cancer Consortium, partner site Freiburg, Translational Neurosurgery, Microenvironment and Immunology Research Laboratory, University of Freiburg, Freiburg, Germany
- Department of Neurosurgery, University Clinic Erlangen, Erlangen, Germany
- Department of Neurological Surgery, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Pia Berger
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
| | - Sarah Langer
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- German Cancer Research Center (DKFZ), Heidelberg, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
| | - Chin L Tan
- CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, Heidelberg, Germany
- DKTK, German Cancer Consortium, Core Center Heidelberg, Heidelberg, Germany
- Department of Neurology, Medical Faculty Mannheim, Mannheim Center for Translational Neuroscience, Heidelberg University, Mannheim, Germany
| | - Martin Stenzel
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Dortmund, Germany
| | - Somaya Landolsi
- Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt am Main, Germany
- DKTK, German Cancer Consortium, partner site Frankfurt/Mainz, Quantitative Spatial Cancer Biology Laboratory, University Hospital Frankfurt, Frankfurt am Main, Germany
- Frankfurt Cancer Institute (FCI), Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Flora Weber
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Dortmund, Germany
| | - Marvin Darkwah Oppong
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuroscience and Behavioral Science (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Rudolf A Werner
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
- University Hospital Frankfurt, Department of Nuclear Medicine, Clinic for Radiology and Nuclear Medicine, Frankfurt am Main, Germany
- The Russell H. Morgan Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hanah Gull
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuroscience and Behavioral Science (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Thomas Schröder
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, Essen, Germany
| | - Thomas Linsenmann
- Department of Neurosurgery, University Hospital Würzburg, Würzburg, Germany
| | - Andreas K Buck
- Department of Nuclear Medicine, University Hospital Würzburg, Würzburg, Germany
| | - Matthias Gunzer
- Leibniz-Institut für Analytische Wissenschaften-ISAS-e.V., Dortmund, Germany
- Institute for Experimental Immunology and Imaging, University Hospital, University Duisburg-Essen, Essen, Germany
| | - Martin Stuschke
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Department of Radiation Oncology, University Hospital Essen, Essen, Germany
| | - Kathy Keyvani
- Institute of Neuropathology, University Hospital Essen, Essen, Germany
| | - Michael Forsting
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Martin Glas
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Center for Translational Neuroscience and Behavioral Science (C-TNBS), University of Duisburg-Essen, Essen, Germany
- Department of Neurology, Division of Neurooncology, University Hospital Essen, Essen, Germany
| | - Jonathan Kipnis
- Brain Immunology and Glia (BIG) Center, Washington University School of Medicine in St Louis, St Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine in St Louis, St Louis, MO, USA
| | - Dennis A Steindler
- Steindler Consulting, Boston, MA, USA
- The Eshelman Institute for Innovation, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Hans Christian Reinhardt
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Department of Hematology and Stem Cell Transplantation, University Hospital Essen, Essen, Germany
- Center of Medical Biotechnology (ZMB), University Duisburg-Essen, Essen, Germany
| | - Edward W Green
- CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, Heidelberg, Germany
- DKTK, German Cancer Consortium, Core Center Heidelberg, Heidelberg, Germany
- Department of Neurology, Medical Faculty Mannheim, Mannheim Center for Translational Neuroscience, Heidelberg University, Mannheim, Germany
| | - Michael Platten
- CCU Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center, Heidelberg, Germany
- DKTK, German Cancer Consortium, Core Center Heidelberg, Heidelberg, Germany
- Department of Neurology, Medical Faculty Mannheim, Mannheim Center for Translational Neuroscience, Heidelberg University, Mannheim, Germany
- Immune Monitoring Unit, National Center for Tumor Diseases, Heidelberg, Germany
- Helmholtz Institute for Translational Oncology, Mainz, Germany
- German Cancer Research Center-Hector Cancer Institute at the Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany
| | - Alpaslan Tasdogan
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Center of Medical Biotechnology (ZMB), University Duisburg-Essen, Essen, Germany
- Department of Dermatology, University Hospital Essen, Essen, Germany
| | - Ken Herrmann
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Department of Nuclear Medicine, University Hospital Essen, Essen, Germany
| | - Florian Rambow
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- Department of Applied Computational Cancer Research, IKIM, University Hospital Essen, Essen, Germany
- Center of Medical Biotechnology (ZMB), University Duisburg-Essen, Essen, Germany
| | - Igor Cima
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany
| | - Ulrich Sure
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany
- Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany
- Center for Translational Neuroscience and Behavioral Science (C-TNBS), University of Duisburg-Essen, Essen, Germany
| | - Björn Scheffler
- German Cancer Consortium (DKTK), partner site Essen/Düsseldorf, a partnership between DKFZ and University Hospital Essen, University Duisburg-Essen, Essen, Germany.
- German Cancer Research Center (DKFZ), Heidelberg, Germany.
- DKFZ Division Translational Neurooncology at the WTZ, University Medicine Essen, Essen, Germany.
- West German Cancer Center (WTZ), University Hospital Essen, Essen, Germany.
- Center of Medical Biotechnology (ZMB), University Duisburg-Essen, Essen, Germany.
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26
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Li XP, Song JT, Dai YT, Zhang WN, Zhao BT, Mao JY, Gao Y, Jiang L, Liang Y. Integrative single-cell analysis of longitudinal t(8;21) AML reveals heterogeneous immune cell infiltration and prognostic signatures. Front Immunol 2024; 15:1424933. [PMID: 39086485 PMCID: PMC11288856 DOI: 10.3389/fimmu.2024.1424933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 07/01/2024] [Indexed: 08/02/2024] Open
Abstract
Introduction Immunotherapies targeting T cells in solid cancers are revolutionizing clinical treatment. Novel immunotherapies have had extremely limited benefit for acute myeloid leukemia (AML). Here, we characterized the immune microenvironment of t(8;21) AML patients to determine how immune cell infiltration status influenced prognosis. Methods Through multi-omics studies of primary and longitudinal t(8;21) AML samples, we characterized the heterogeneous immune cell infiltration in the tumor microenvironment and their immune checkpoint gene expression. Further external cohorts were also included in this research. Results CD8+ T cells were enriched and HAVCR2 and TIGIT were upregulated in the CD34+CD117dim%-High group; these features are known to be associated with immune exhaustion. Data integration analysis of single-cell dynamics revealed that a subset of T cells (cluster_2) (highly expressing GZMB, NKG7, PRF1 and GNLY) evolved and expanded markedly in the drug-resistant stage after relapse. External cohort analysis confirmed that the cluster_2 T-cell signature could be utilized to stratify patients by overall survival outcome. Discussion In conclusion, we discovered a distinct T-cell signature by scRNA-seq that was correlated with disease progression and drug resistance. Our research provides a novel system for classifying patients based on their immune microenvironment.
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MESH Headings
- Humans
- Leukemia, Myeloid, Acute/genetics
- Leukemia, Myeloid, Acute/immunology
- Leukemia, Myeloid, Acute/mortality
- Leukemia, Myeloid, Acute/therapy
- Single-Cell Analysis/methods
- Prognosis
- Tumor Microenvironment/immunology
- Tumor Microenvironment/genetics
- Chromosomes, Human, Pair 8/genetics
- Lymphocytes, Tumor-Infiltrating/immunology
- Lymphocytes, Tumor-Infiltrating/metabolism
- Male
- Female
- Translocation, Genetic
- Chromosomes, Human, Pair 21/genetics
- CD8-Positive T-Lymphocytes/immunology
- Adult
- Middle Aged
- Biomarkers, Tumor/genetics
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Affiliation(s)
- Xue-Ping Li
- Department of Hematologic Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jiang-Tao Song
- Department of Hematologic Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yu-Ting Dai
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei-Na Zhang
- Department of Hematology, Guangzhou Women and Children’s Medical Center, Guangzhou, China
| | - Bai-Tian Zhao
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jia-Ying Mao
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yan Gao
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Lu Jiang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yang Liang
- Department of Hematologic Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
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27
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Tooley K, Jerby L, Escobar G, Krovi SH, Mangani D, Dandekar G, Cheng H, Madi A, Goldschmidt E, Lambden C, Krishnan RK, Rozenblatt-Rosen O, Regev A, Anderson AC. Pan-cancer mapping of single CD8 + T cell profiles reveals a TCF1:CXCR6 axis regulating CD28 co-stimulation and anti-tumor immunity. Cell Rep Med 2024; 5:101640. [PMID: 38959885 PMCID: PMC11293343 DOI: 10.1016/j.xcrm.2024.101640] [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: 05/31/2023] [Revised: 01/05/2024] [Accepted: 06/11/2024] [Indexed: 07/05/2024]
Abstract
CD8+ T cells must persist and function in diverse tumor microenvironments to exert their effects. Thus, understanding common underlying expression programs could better inform the next generation of immunotherapies. We apply a generalizable matrix factorization algorithm that recovers both shared and context-specific expression programs from diverse datasets to a single-cell RNA sequencing (scRNA-seq) compendium of 33,161 CD8+ T cells from 132 patients with seven human cancers. Our meta-single-cell analyses uncover a pan-cancer T cell dysfunction program that predicts clinical non-response to checkpoint blockade in melanoma and highlights CXCR6 as a pan-cancer marker of chronically activated T cells. Cxcr6 is trans-activated by AP-1 and repressed by TCF1. Using mouse models, we show that Cxcr6 deletion in CD8+ T cells increases apoptosis of PD1+TIM3+ cells, dampens CD28 signaling, and compromises tumor growth control. Our study uncovers a TCF1:CXCR6 axis that counterbalances PD1-mediated suppression of CD8+ cell responses and is essential for effective anti-tumor immunity.
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Affiliation(s)
- Katherine Tooley
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Division of Medical Sciences, Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Livnat Jerby
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA; Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | - Giulia Escobar
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - S Harsha Krovi
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Davide Mangani
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Gitanjali Dandekar
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Hanning Cheng
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Asaf Madi
- Department of Pathology, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ella Goldschmidt
- Department of Pathology, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Conner Lambden
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rajesh K Krishnan
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Aviv Regev
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Howard Hughes Medical Institute and Koch Institute of Integrative Cancer Research, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.
| | - Ana C Anderson
- The Gene Lay Institute of Immunology and Inflammation of Brigham and Women's Hospital, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA; Ann Romney Center for Neurologic Diseases, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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28
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Zhang C, Sun YX, Yi DC, Jiang BY, Yan LX, Liu ZD, Peng LS, Zhang WJ, Sun H, Chen ZY, Wang DH, Peng D, Chen SA, Li SQ, Zhang Z, Tan XY, Yang J, Zhao ZY, Zhang WT, Su J, Li YS, Liao RQ, Dong S, Xu CR, Zhou Q, Yang XN, Wu YL, Zhang ZM, Zhong WZ. Neoadjuvant sintilimab plus chemotherapy in EGFR-mutant NSCLC: Phase 2 trial interim results (NEOTIDE/CTONG2104). Cell Rep Med 2024; 5:101615. [PMID: 38897205 PMCID: PMC11293361 DOI: 10.1016/j.xcrm.2024.101615] [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: 11/02/2023] [Revised: 01/31/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024]
Abstract
The clinical efficacy of neoadjuvant immunotherapy plus chemotherapy remains elusive in localized epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC). Here, we report interim results of a Simon's two-stage design, phase 2 trial using neoadjuvant sintilimab with carboplatin and nab-paclitaxel in resectable EGFR-mutant NSCLC. All 18 patients undergo radical surgery, with one patient experiencing surgery delay. Fourteen patients exhibit confirmed radiological response, with 44% achieving major pathological response (MPR) and no pathological complete response (pCR). Similar genomic alterations are observed before and after treatment without influencing the efficacy of subsequent EGFR-tyrosine kinase inhibitors (TKIs) in vitro. Infiltration and T cell receptor (TCR) clonal expansion of CCR8+ regulatory T (Treg)hi/CXCL13+ exhausted T (Tex)lo cells define a subtype of EGFR-mutant NSCLC highly resistant to immunotherapy, with the phenotype potentially serving as a promising signature to predict immunotherapy efficacy. Informed circulating tumor DNA (ctDNA) detection in EGFR-mutant NSCLC could help identify patients nonresponsive to neoadjuvant immunochemotherapy. These findings provide supportive data for the utilization of neoadjuvant immunochemotherapy and insight into immune resistance in EGFR-mutant NSCLC.
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Affiliation(s)
- Chao Zhang
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; School of Medicine, South China University of Technology, Guangzhou, China
| | - Yu-Xuan Sun
- School of Life Sciences, Peking University, Beijing, China
| | - Ding-Cheng Yi
- School of Life Sciences, Peking University, Beijing, China
| | - Ben-Yuan Jiang
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Li-Xu Yan
- Department of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ze-Dao Liu
- School of Life Sciences, Peking University, Beijing, China
| | - Li-Shan Peng
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wen-Jie Zhang
- School of Life Sciences, Peking University, Beijing, China
| | - Hao Sun
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Zhi-Yong Chen
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Department of Radiation Therapy, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | | | - Di Peng
- Burning Rock Biotech, Guangzhou, China
| | | | - Si-Qi Li
- Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Ze Zhang
- Institute of Biomedical Research, Yunnan University, Kunming, China
| | - Xiao-Yue Tan
- PET Center, Department of Nuclear Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jie Yang
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Zhang-Yi Zhao
- School of Life Sciences, Peking University, Beijing, China
| | - Wan-Ting Zhang
- School of Life Sciences, Peking University, Beijing, China
| | - Jian Su
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yang-Si Li
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ri-Qiang Liao
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Song Dong
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Chong-Rui Xu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qing Zhou
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xue-Ning Yang
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yi-Long Wu
- Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ze-Min Zhang
- School of Life Sciences, Peking University, Beijing, China; BIOPIC, Beijing Advanced Innovation Center for Genomics, Peking University, Beijing, China
| | - Wen-Zhao Zhong
- Department of Pulmonary Surgery, Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
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29
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Chen Z, Wang C, Huang S, Shi Y, Xi R. Directly selecting cell-type marker genes for single-cell clustering analyses. CELL REPORTS METHODS 2024; 4:100810. [PMID: 38981475 PMCID: PMC11294843 DOI: 10.1016/j.crmeth.2024.100810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 03/16/2024] [Accepted: 06/12/2024] [Indexed: 07/11/2024]
Abstract
In single-cell RNA sequencing (scRNA-seq) studies, cell types and their marker genes are often identified by clustering and differentially expressed gene (DEG) analysis. A common practice is to select genes using surrogate criteria such as variance and deviance, then cluster them using selected genes and detect markers by DEG analysis assuming known cell types. The surrogate criteria can miss important genes or select unimportant genes, while DEG analysis has the selection-bias problem. We present Festem, a statistical method for the direct selection of cell-type markers for downstream clustering. Festem distinguishes marker genes with heterogeneous distribution across cells that are cluster informative. Simulation and scRNA-seq applications demonstrate that Festem can sensitively select markers with high precision and enables the identification of cell types often missed by other methods. In a large intrahepatic cholangiocarcinoma dataset, we identify diverse CD8+ T cell types and potential prognostic marker genes.
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Affiliation(s)
- Zihao Chen
- School of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing 100871, China
| | - Changhu Wang
- School of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing 100871, China
| | - Siyuan Huang
- Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China
| | - Yang Shi
- BeiGene (Beijing) Co., Ltd., Beijing 100871, China
| | - Ruibin Xi
- School of Mathematical Sciences and Center for Statistical Science, Peking University, Beijing 100871, China.
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30
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Jha RM, Rajasundaram D, Sneiderman C, Schlegel BT, O'Brien C, Xiong Z, Janesko-Feldman K, Trivedi R, Vagni V, Zusman BE, Catapano JS, Eberle A, Desai SM, Jadhav AP, Mihaljevic S, Miller M, Raikwar S, Rani A, Rulney J, Shahjouie S, Raphael I, Kumar A, Phuah CL, Winkler EA, Simon DW, Kochanek PM, Kohanbash G. A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets. Neuron 2024:S0896-6273(24)00456-2. [PMID: 39019041 DOI: 10.1016/j.neuron.2024.06.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 05/07/2024] [Accepted: 06/20/2024] [Indexed: 07/19/2024]
Abstract
Traumatic brain injury (TBI) heterogeneity remains a critical barrier to translating therapies. Identifying final common pathways/molecular signatures that integrate this heterogeneity informs biomarker and therapeutic-target development. We present the first large-scale murine single-cell atlas of the transcriptomic response to TBI (334,376 cells) across clinically relevant models, sex, brain region, and time as a foundational step in molecularly deconstructing TBI heterogeneity. Results were unique to cell populations, injury models, sex, brain regions, and time, highlighting the importance of cell-level resolution. We identify cell-specific targets and previously unrecognized roles for microglial and ependymal subtypes. Ependymal-4 was a hub of neuroinflammatory signaling. A distinct microglial lineage shared features with disease-associated microglia at 24 h, with persistent gene-expression changes in microglia-4 even 6 months after contusional TBI, contrasting all other cell types that mostly returned to naive levels. Regional and sexual dimorphism were noted. CEREBRI, our searchable atlas (https://shiny.crc.pitt.edu/cerebri/), identifies previously unrecognized cell subtypes/molecular targets and is a leverageable platform for future efforts in TBI and other diseases with overlapping pathophysiology.
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Affiliation(s)
- Ruchira M Jha
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Safar Center for Resuscitation-Research, University of Pittsburgh, Pittsburgh, PA 15224, USA; Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.
| | - Dhivyaa Rajasundaram
- Department of Pediatrics, Division of Health Informatics, University of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Chaim Sneiderman
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Brent T Schlegel
- Department of Pediatrics, Division of Health Informatics, University of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Casey O'Brien
- Department of Pediatrics, Division of Health Informatics, University of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Zujian Xiong
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Keri Janesko-Feldman
- Safar Center for Resuscitation-Research, University of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Ria Trivedi
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Vincent Vagni
- Safar Center for Resuscitation-Research, University of Pittsburgh, Pittsburgh, PA 15224, USA
| | - Benjamin E Zusman
- Department of Neurology, Massachusetts General Hospital, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Joshua S Catapano
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Adam Eberle
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | | | - Ashutosh P Jadhav
- Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Sandra Mihaljevic
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Margaux Miller
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Sudhanshu Raikwar
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Anupama Rani
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Jarrod Rulney
- University of Arizona School of Medicine, Tucson, AZ 85724, USA
| | - Shima Shahjouie
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Neurology, Pennsylvania State University, Hershey, PA 17033, USA
| | - Itay Raphael
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Aditya Kumar
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Chia-Ling Phuah
- Department of Neurology, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ 85013, USA; Department of Neurosurgery, Barrow Neurological Institute, Phoenix, AZ 85013, USA
| | - Ethan A Winkler
- Neurosurgery, University of California, San Francisco, San Francisco, CA 94143, USA
| | - Dennis W Simon
- Department of Pediatrics, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Patrick M Kochanek
- Safar Center for Resuscitation-Research, University of Pittsburgh, Pittsburgh, PA 15224, USA; Department of Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Gary Kohanbash
- Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA; Department of Immunology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
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31
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Yang X, Wu J, Fan L, Chen B, Zhang S, Zheng W. Single-Cell Analysis Identifies Distinct Populations of Cytotoxic CD4 + T Cells Linked to the Therapeutic Efficacy of Immune Checkpoint Inhibitors in Metastatic Renal Cell Carcinoma. J Inflamm Res 2024; 17:4505-4523. [PMID: 39006494 PMCID: PMC11246657 DOI: 10.2147/jir.s457570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Accepted: 06/18/2024] [Indexed: 07/16/2024] Open
Abstract
Background The involvement of cytotoxic CD4+ T cells (CD4+ CTLs) and their potential role in dictating the response to immune checkpoint inhibitors (ICIs) in patients with metastatic renal cell carcinoma (mRCC) remains an unexplored area of research. Methods Utilizing single-cell RNA sequencing, we analyzed the immunophenotype and expression patterns of CD4+ T lymphocyte subtypes in mRCC patients, followed by preliminary validation via multi-immunofluorescent staining. In addition, we obtained a comprehensive immunotherapy dataset encompassing single-cell RNA sequencing datasets and bulk RNA-seq cohorts from the European Genome-Phenome Archive and ArrayExpress database. Utilizing the CIBERSORTx deconvolution algorithms, we derived a signature score for CD4+ CTLs from the bulk-RNA-seq datasets of the CheckMate 009/025 clinical trials. Results Single-cell analysis of CD4+ T lymphocytes in mRCC reveals several cancer-specific states, including diverse phenotypes of regulatory T cells. Remarkably, we observe that CD4+ CTLs cells constitute a substantial proportion of all CD4+ T lymphocyte sub-clusters in mRCC patients, highlighting their potential significance in the disease. Furthermore, within mRCC patients, we identify two distinct cytotoxic states of CD4+ T cells: CD4+GZMK+ T cells, which exhibit a weaker cytotoxic potential, and CD4+GZMB+ T cells, which demonstrate robust cytotoxic activity. Both regulatory T cells and CD4+ CTLs originate from proliferating CD4+ T cells within mRCC tissues. Intriguingly, our trajectory analysis indicates that the weakly cytotoxic CD4+GZMK+ T cells differentiate from their more cytotoxic CD4+GZMB+ counterparts. In comparing patients with lower CD4+ CTLs levels to those with higher CD4+ CTLs abundance in the CheckMate 009 and 25 immunotherapy cohorts, the latter group exhibited significantly improved OS and PFS probability. Conclusion Our study underscores the pivotal role that intratumoral CD4+ CTLs may play in bolstering anti-tumor immunity, suggesting their potential as a promising biomarker for predicting response to ICIs in patients with mRCC.
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Affiliation(s)
- Xu Yang
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, People’s Republic of China
| | - Jianwei Wu
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, People’s Republic of China
| | - Longlong Fan
- Department of Urology, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, People’s Republic of China
| | - Binghua Chen
- Department of Urology, Pingtan Branch of Fujian Medical University Union Hospital, Fuzhou, People’s Republic of China
| | - Shiqiang Zhang
- Department of Urology, Kidney and Urology Center, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, People’s Republic of China
| | - Wenzhong Zheng
- Department of Urology, Fujian Medical University Union Hospital, Fuzhou, People’s Republic of China
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32
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Chen Y, Wang D, Li Y, Qi L, Si W, Bo Y, Chen X, Ye Z, Fan H, Liu B, Liu C, Zhang L, Zhang X, Li Z, Zhu L, Wu A, Zhang Z. Spatiotemporal single-cell analysis decodes cellular dynamics underlying different responses to immunotherapy in colorectal cancer. Cancer Cell 2024; 42:1268-1285.e7. [PMID: 38981439 DOI: 10.1016/j.ccell.2024.06.009] [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: 07/12/2023] [Revised: 04/10/2024] [Accepted: 06/14/2024] [Indexed: 07/11/2024]
Abstract
Expanding the efficacy of immune checkpoint blockade (ICB) in colorectal cancer (CRC) presses for a comprehensive understanding of treatment responsiveness. Here, we analyze multiple sequential single-cell samples from 22 patients undergoing PD-1 blockade to map the evolution of local and systemic immunity of CRC patients. In tumors, we identify coordinated cellular programs exhibiting distinct response associations. Specifically, exhausted T (Tex) or tumor-reactive-like CD8+ T (Ttr-like) cells are closely related to treatment efficacy, and Tex cells show correlated proportion changes with multiple other tumor-enriched cell types following PD-1 blockade. In addition, we reveal the less-exhausted phenotype of blood-associated Ttr-like cells in tumors and find that their higher abundance suggests better treatment outcomes. Finally, a higher major histocompatibility complex (MHC) II-related signature in circulating CD8+ T cells at baseline is linked to superior responses. Our study provides insights into the spatiotemporal cellular dynamics following neoadjuvant PD-1 blockade in CRC.
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Affiliation(s)
- Yuqing Chen
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Dongfang Wang
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China.
| | - Yingjie Li
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Gastrointestinal Cancer Center, Unit III, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Lu Qi
- Changping Laboratory, Yard 28, Science Park Road, Changping District, Beijing, China
| | - Wen Si
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Yufei Bo
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Xueyan Chen
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Zhaochen Ye
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Hongtao Fan
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Baolin Liu
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Chang Liu
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Li Zhang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Xiaoyan Zhang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Radiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhongwu Li
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Linna Zhu
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China
| | - Aiwen Wu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Gastrointestinal Cancer Center, Unit III, Peking University Cancer Hospital & Institute, Beijing 100142, China.
| | - Zemin Zhang
- Biomedical Pioneering Innovative Center (BIOPIC) and School of Life Sciences, Peking University, Beijing 100871, China.
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33
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Huang TX, Huang HS, Dong SW, Chen JY, Zhang B, Li HH, Zhang TT, Xie Q, Long QY, Yang Y, Huang LY, Zhao P, Bi J, Lu XF, Pan F, Zou C, Fu L. ATP6V0A1-dependent cholesterol absorption in colorectal cancer cells triggers immunosuppressive signaling to inactivate memory CD8 + T cells. Nat Commun 2024; 15:5680. [PMID: 38971819 PMCID: PMC11227557 DOI: 10.1038/s41467-024-50077-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 06/27/2024] [Indexed: 07/08/2024] Open
Abstract
Obesity shapes anti-tumor immunity through lipid metabolism; however, the mechanisms underlying how colorectal cancer (CRC) cells utilize lipids to suppress anti-tumor immunity remain unclear. Here, we show that tumor cell-intrinsic ATP6V0A1 drives exogenous cholesterol-induced immunosuppression in CRC. ATP6V0A1 facilitates cholesterol absorption in CRC cells through RAB guanine nucleotide exchange factor 1 (RABGEF1)-dependent endosome maturation, leading to cholesterol accumulation within the endoplasmic reticulum and elevated production of 24-hydroxycholesterol (24-OHC). ATP6V0A1-induced 24-OHC upregulates TGF-β1 by activating the liver X receptor (LXR) signaling. Subsequently, the release of TGF-β1 into the tumor microenvironment by CRC cells activates the SMAD3 pathway in memory CD8+ T cells, ultimately suppressing their anti-tumor activities. Moreover, we identify daclatasvir, a clinically used anti-hepatitis C virus (HCV) drug, as an ATP6V0A1 inhibitor that can effectively enhance the memory CD8+ T cell activity and suppress tumor growth in CRC. These findings shed light on the potential for ATP6V0A1-targeted immunotherapy in CRC.
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Affiliation(s)
- Tu-Xiong Huang
- Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pharmacology and International Cancer Center, Shenzhen University Medical School, Shenzhen, 518060, Guangdong, China
| | - Hui-Si Huang
- Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pharmacology and International Cancer Center, Shenzhen University Medical School, Shenzhen, 518060, Guangdong, China
| | - Shao-Wei Dong
- Department of Clinical Medical Research Center, The First Affiliated Hospital of Southern University of Science and Technology (Shenzhen People's Hospital), Shenzhen, 518000, Guangdong, China
- Department of Hematology and Oncology, Shenzhen Children's Hospital, Shenzhen, 518038, Guangdong, China
| | - Jia-Yan Chen
- Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pharmacology and International Cancer Center, Shenzhen University Medical School, Shenzhen, 518060, Guangdong, China
| | - Bin Zhang
- Department of Clinical Medical Research Center, The First Affiliated Hospital of Southern University of Science and Technology (Shenzhen People's Hospital), Shenzhen, 518000, Guangdong, China
| | - Hua-Hui Li
- Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen, 518055, Guangdong, China
| | - Tian-Tian Zhang
- Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pharmacology and International Cancer Center, Shenzhen University Medical School, Shenzhen, 518060, Guangdong, China
| | - Qiang Xie
- Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pharmacology and International Cancer Center, Shenzhen University Medical School, Shenzhen, 518060, Guangdong, China
| | - Qiao-Yun Long
- Department of Clinical Medical Research Center, The First Affiliated Hospital of Southern University of Science and Technology (Shenzhen People's Hospital), Shenzhen, 518000, Guangdong, China
| | - Yang Yang
- Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pharmacology and International Cancer Center, Shenzhen University Medical School, Shenzhen, 518060, Guangdong, China
| | - Lin-Yuan Huang
- Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pharmacology and International Cancer Center, Shenzhen University Medical School, Shenzhen, 518060, Guangdong, China
| | - Pan Zhao
- Department of Clinical Medical Research Center, The First Affiliated Hospital of Southern University of Science and Technology (Shenzhen People's Hospital), Shenzhen, 518000, Guangdong, China
| | - Jiong Bi
- The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China
| | - Xi-Feng Lu
- Clinical Research Center, The First Affiliated Hospital of Shantou University Medical College, Shantou, 515041, Guangdong, China
| | - Fan Pan
- Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), Shenzhen, 518055, Guangdong, China
| | - Chang Zou
- Department of Clinical Medical Research Center, The First Affiliated Hospital of Southern University of Science and Technology (Shenzhen People's Hospital), Shenzhen, 518000, Guangdong, China.
- School of Life and Health Sciences, The Chinese University of Hong Kong, Shenzhen, 518000, Guangdong, China.
| | - Li Fu
- Guangdong Provincial Key Laboratory of Regional Immunity and Diseases, Department of Pharmacology and International Cancer Center, Shenzhen University Medical School, Shenzhen, 518060, Guangdong, China.
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34
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Luo Y, Xia Y, Liu D, Li X, Li H, Liu J, Zhou D, Dong Y, Li X, Qian Y, Xu C, Tao K, Li G, Pan W, Zhong Q, Liu X, Xu S, Wang Z, Liu R, Zhang W, Shan W, Fang T, Wang S, Peng Z, Jin P, Jin N, Shi S, Chen Y, Wang M, Jiao X, Luo M, Gong W, Wang Y, Yao Y, Zhao Y, Huang X, Ji X, He Z, Zhao G, Liu R, Wu M, Chen G, Hong L, Ma D, Fang Y, Liang H, Gao Q. Neoadjuvant PARPi or chemotherapy in ovarian cancer informs targeting effector Treg cells for homologous-recombination-deficient tumors. Cell 2024:S0092-8674(24)00653-6. [PMID: 38971151 DOI: 10.1016/j.cell.2024.06.013] [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: 01/18/2023] [Revised: 02/12/2024] [Accepted: 06/10/2024] [Indexed: 07/08/2024]
Abstract
Homologous recombination deficiency (HRD) is prevalent in cancer, sensitizing tumor cells to poly (ADP-ribose) polymerase (PARP) inhibition. However, the impact of HRD and related therapies on the tumor microenvironment (TME) remains elusive. Our study generates single-cell gene expression and T cell receptor profiles, along with validatory multimodal datasets from >100 high-grade serous ovarian cancer (HGSOC) samples, primarily from a phase II clinical trial (NCT04507841). Neoadjuvant monotherapy with the PARP inhibitor (PARPi) niraparib achieves impressive 62.5% and 73.6% response rates per RECIST v.1.1 and GCIG CA125, respectively. We identify effector regulatory T cells (eTregs) as key responders to HRD and neoadjuvant therapies, co-occurring with other tumor-reactive T cells, particularly terminally exhausted CD8+ T cells (Tex). TME-wide interferon signaling correlates with cancer cells upregulating MHC class II and co-inhibitory ligands, potentially driving Treg and Tex fates. Depleting eTregs in HRD mouse models, with or without PARP inhibition, significantly suppresses tumor growth without observable toxicities, underscoring the potential of eTreg-focused therapeutics for HGSOC and other HRD-related tumors.
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Affiliation(s)
- Yikai Luo
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yu Xia
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Dan Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiong Li
- Department of Gynecology & Obstetrics, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, China
| | - Huayi Li
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Jiahao Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Dongchen Zhou
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yu Dong
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Xin Li
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yiyu Qian
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Cheng Xu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Kangjia Tao
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Guannan Li
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wen Pan
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Qing Zhong
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xingzhe Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Sen Xu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zhi Wang
- Department of Gynecology & Obstetrics, Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430014, China
| | - Ronghua Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wei Zhang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wanying Shan
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Tian Fang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Siyuan Wang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Zikun Peng
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ping Jin
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ning Jin
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Shennan Shi
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yuxin Chen
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mengjie Wang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Xiaofei Jiao
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mengshi Luo
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Wenjian Gong
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Ya Wang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yue Yao
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Yi Zhao
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Xinlin Huang
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Xuwo Ji
- Precision Scientific (Beijing) Co., Ltd., Beijing 100085, China
| | - Zhaoren He
- BioMap (Beijing) Intelligence Technology Limited, Beijing 100089, China
| | - Guangnian Zhao
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Rong Liu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Mingfu Wu
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Gang Chen
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Li Hong
- Department of Gynecology and Obstetrics, Renmin Hospital of Wuhan University, Wuhan 430060, China
| | - Ding Ma
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Yong Fang
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Han Liang
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Qinglei Gao
- National Clinical Research Center for Obstetrics and Gynecology, Department of Gynecological Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China; Cancer Biology Research Center (Key Laboratory of the Ministry of Education, Hubei Provincial Key Laboratory of Tumor Invasion and Metastasis), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
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35
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Oguchi A, Suzuki A, Komatsu S, Yoshitomi H, Bhagat S, Son R, Bonnal RJP, Kojima S, Koido M, Takeuchi K, Myouzen K, Inoue G, Hirai T, Sano H, Takegami Y, Kanemaru A, Yamaguchi I, Ishikawa Y, Tanaka N, Hirabayashi S, Konishi R, Sekito S, Inoue T, Kere J, Takeda S, Takaori-Kondo A, Endo I, Kawaoka S, Kawaji H, Ishigaki K, Ueno H, Hayashizaki Y, Pagani M, Carninci P, Yanagita M, Parrish N, Terao C, Yamamoto K, Murakawa Y. An atlas of transcribed enhancers across helper T cell diversity for decoding human diseases. Science 2024; 385:eadd8394. [PMID: 38963856 DOI: 10.1126/science.add8394] [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: 07/17/2022] [Accepted: 05/01/2024] [Indexed: 07/06/2024]
Abstract
Transcribed enhancer maps can reveal nuclear interactions underpinning each cell type and connect specific cell types to diseases. Using a 5' single-cell RNA sequencing approach, we defined transcription start sites of enhancer RNAs and other classes of coding and noncoding RNAs in human CD4+ T cells, revealing cellular heterogeneity and differentiation trajectories. Integration of these datasets with single-cell chromatin profiles showed that active enhancers with bidirectional RNA transcription are highly cell type-specific and that disease heritability is strongly enriched in these enhancers. The resulting cell type-resolved multimodal atlas of bidirectionally transcribed enhancers, which we linked with promoters using fine-scale chromatin contact maps, enabled us to systematically interpret genetic variants associated with a range of immune-mediated diseases.
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Affiliation(s)
- Akiko Oguchi
- RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto, Japan
- Department of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Akari Suzuki
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Shuichiro Komatsu
- RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- IFOM ETS - the AIRC Institute of Molecular Oncology, Milan, Italy
| | - Hiroyuki Yoshitomi
- Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto, Japan
- Department of Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shruti Bhagat
- Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto, Japan
| | - Raku Son
- RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto, Japan
- Department of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | | | - Shohei Kojima
- Genome Immunobiology RIKEN Hakubi Research Team, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Masaru Koido
- Division of Molecular Pathology, Department of Cancer Biology, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kazuhiro Takeuchi
- RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto, Japan
- Department of Medical Systems Genomics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Keiko Myouzen
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Gyo Inoue
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Tomoya Hirai
- RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama City University, Yokohama, Japan
| | - Hiromi Sano
- RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | | | | | | | - Yuki Ishikawa
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Nao Tanaka
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Shigeki Hirabayashi
- RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Division of Precision Medicine, Kyushu University Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Riyo Konishi
- Inter-Organ Communication Research Team, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan
| | - Sho Sekito
- Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto, Japan
- Department of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan
| | - Takahiro Inoue
- Department of Nephro-Urologic Surgery and Andrology, Mie University Graduate School of Medicine, Mie University, Tsu, Japan
| | - Juha Kere
- Department of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden
- Stem Cells and Metabolism Research Program, University of Helsinki, Helsinki, Finland
- Folkhalsan Research Center, Helsinki, Finland
| | - Shunichi Takeda
- Department of Radiation Genetics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Shenzhen University School of Medicine, Shenzhen, Guangdong, China
| | - Akifumi Takaori-Kondo
- Department of Hematology and Oncology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Itaru Endo
- Department of Gastroenterological Surgery, Yokohama City University Graduate School of Medicine, Yokohama City University, Yokohama, Japan
| | - Shinpei Kawaoka
- Inter-Organ Communication Research Team, Institute for Life and Medical Sciences, Kyoto University, Kyoto, Japan
- Department of Integrative Bioanalytics, Institute of Development, Aging and Cancer, Tohoku University, Sendai, Japan
| | - Hideya Kawaji
- Research Center for Genome & Medical Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan
- Preventive Medicine and Applied Genomics Unit, RIKEN Center for Integrative Medical Science, Yokohama, Japan
- RIKEN Preventive Medicine and Diagnosis Innovation Program, Wako, Japan
| | - Kazuyoshi Ishigaki
- Laboratory for Human Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Hideki Ueno
- Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto, Japan
- Department of Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yoshihide Hayashizaki
- K.K. DNAFORM, Yokohama, Japan
- RIKEN Preventive Medicine and Diagnosis Innovation Program, Wako, Japan
| | - Massimiliano Pagani
- IFOM ETS - the AIRC Institute of Molecular Oncology, Milan, Italy
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi, Milan, Italy
| | - Piero Carninci
- Laboratory for Transcriptome Technology, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Human Technopole, Milan, Italy
| | - Motoko Yanagita
- Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto, Japan
- Department of Nephrology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Nicholas Parrish
- Genome Immunobiology RIKEN Hakubi Research Team, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
- Department of Applied Genetics, School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan
| | - Kazuhiko Yamamoto
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yasuhiro Murakawa
- RIKEN-IFOM Joint Laboratory for Cancer Genomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto, Japan
- IFOM ETS - the AIRC Institute of Molecular Oncology, Milan, Italy
- Department of Medical Systems Genomics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
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Wang Y, Zhang W, Li T, Liu M, Gao M, Li X, Chen Y, Song Y, Li W, Du C, Wang F, Liu L. Identification of potential immune-related mechanisms related to the development of multiple myeloma. Chin Med J (Engl) 2024; 137:1603-1613. [PMID: 38844445 PMCID: PMC11230759 DOI: 10.1097/cm9.0000000000003116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Indexed: 07/09/2024] Open
Abstract
BACKGROUND Although significant advances have been made in the treatment of multiple myeloma (MM), leading to unprecedented response and survival rates among patients, the majority eventually relapse, and a cure remains elusive. This situation is closely related to an incomplete understanding of the immune microenvironment, especially monocytes/macrophages in patients with treatment-naïve MM. The aim of this study was to provide insight into the immune microenvironment, especially monocytes/macrophages, in patients with treatment-naïve MM. METHODS This study used the single-cell RNA sequencing (scRNA-seq) data of both patients with MM and heathy donors to identify immune cells, including natural killer (NK) cells, T cells, dendritic cells (DCs), and monocytes/macrophages. Transcriptomic data and flow cytometry analysis of monocytes/macrophages were used to further examine the effect of monocytes/macrophages in treatment-naïve MM patients. RESULTS A significant difference was observed between the bone marrow (BM) immune cells of the healthy controls and treatment-naïve MM patients through scRNA-seq. It is noteworthy that, through an scRNA-seq data analysis, this study found that interferon (IFN)-induced NK/T cells, terminally differentiated effector memory (TEMRA) cells, T-helper cells characterized by expression of IFN-stimulated genes (ISG + Th cells), IFN-responding exhausted T cells, mannose receptor C-type 1 (MRC1) + DCs, IFN-responding DCs, MHCII + DCs, and immunosuppressive monocytes/macrophages were enriched in patients with treatment-naïve MM. Significantly, transcriptomic data of monocytes/macrophages demonstrated that "don't eat me"-related genes and IFN-induced genes increase in treatment-naïve MM patients. Furthermore, scRNA-seq, transcriptomic data, and flow cytometry also showed an increased proportion of CD16 + monocytes/macrophages and expression level of CD16. Cell-cell communication analysis indicated that monocytes/macrophages, whose related important signaling pathways include migration inhibitory factor (MIF) and interleukin 16 (IL-16) signaling pathway, are key players in treatment-naïve MM patients. CONCLUSIONS Our findings provide a comprehensive and in-depth molecular characterization of BM immune cell census in MM patients, especially for monocytes/macrophages. Targeting macrophages may be a novel treatment strategy for patients with MM.
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Affiliation(s)
- Yaomei Wang
- Department of Hematology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan 450008, China
| | - Wenli Zhang
- Department of Hematology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan 450008, China
- The Academy of Medical Science, College of Medical, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Tiandong Li
- College of Public Health, Zhengzhou University, Zhengzhou, Henan 450000, China
| | - Mengmeng Liu
- The Academy of Medical Science, College of Medical, Zhengzhou University, Zhengzhou, Henan 450052, China
- Department of Research and Foreign Affairs, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan 450008, China
| | - Mengya Gao
- The Academy of Medical Science, College of Medical, Zhengzhou University, Zhengzhou, Henan 450052, China
- Department of Research and Foreign Affairs, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan 450008, China
| | - Xinqing Li
- Department of Clinical Medicine, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Yufei Chen
- The Academy of Medical Science, College of Medical, Zhengzhou University, Zhengzhou, Henan 450052, China
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Yongping Song
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Wei Li
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Chunyan Du
- Laboratory Animal Center, School of Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Fang Wang
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan 450052, China
| | - Lina Liu
- Department of Hematology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan 450008, China
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Zhu Y, Zhang Y, He S, Yi S, Feng H, Xia X, Fang X, Gong X, Zhao P. Integrating single-nucleus RNA sequencing and spatial transcriptomics to elucidate a specialized subpopulation of astrocytes, microglia and vascular cells in brains of mouse model of lipopolysaccharide-induced sepsis-associated encephalopathy. J Neuroinflammation 2024; 21:169. [PMID: 38961424 PMCID: PMC11223438 DOI: 10.1186/s12974-024-03161-0] [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] [Received: 02/22/2024] [Accepted: 06/26/2024] [Indexed: 07/05/2024] Open
Abstract
BACKGROUND Understanding the mechanism behind sepsis-associated encephalopathy (SAE) remains a formidable task. This study endeavors to shed light on the complex cellular and molecular alterations that occur in the brains of a mouse model with SAE, ultimately unraveling the underlying mechanisms of this condition. METHODS We established a murine model using intraperitoneal injection of lipopolysaccharide (LPS) in wild type and Anxa1-/- mice and collected brain tissues for analysis at 0-hour, 12-hour, 24-hour, and 72-hour post-injection. Utilizing advanced techniques such as single-nucleus RNA sequencing (snRNA-seq) and Stereo-seq, we conducted a comprehensive characterization of the cellular responses and molecular patterns within the brain. RESULTS Our study uncovered notable temporal differences in the response to LPS challenge between Anxa1-/- (annexin A1 knockout) and wild type mice, specifically at the 12-hour and 24-hour time points following injection. We observed a significant increase in the proportion of Astro-2 and Micro-2 cells in these mice. These cells exhibited a colocalization pattern with the vascular subtype Vas-1, forming a distinct region known as V1A2M2, where Astro-2 and Micro-2 cells surrounded Vas-1. Moreover, through further analysis, we discovered significant upregulation of ligands and receptors such as Timp1-Cd63, Timp1-Itgb1, Timp1-Lrp1, as well as Ccl2-Ackr1 and Cxcl2-Ackr1 within this region. In addition, we observed a notable increase in the expression of Cd14-Itgb1, Cd14-Tlr2, and Cd14-C3ar1 in regions enriched with Micro-2 cells. Additionally, Cxcl10-Sdc4 showed broad upregulation in brain regions containing both Micro-2 and Astro-2 cells. Notably, upon LPS challenge, there was an observed increase in Anxa1 expression in the mouse brain. Furthermore, our study revealed a noteworthy increase in mortality rates following Anxa1 knockdown. However, we did not observe substantial differences in the types, numbers, or distribution of other brain cells between Anxa1-/- and wildtype mice over time. Nevertheless, when comparing the 24-hour post LPS injection time point, we observed a significant decrease in the proportion and distribution of Micro-2 and Astro-2 cells in the vicinity of blood vessels in Anxa1-/- mice. Additionally, we noted reduced expression levels of several ligand-receptor pairs including Cd14-Tlr2, Cd14-C3ar1, Cd14-Itgb1, Cxcl10-Sdc4, Ccl2-Ackr1, and Cxcl2-Ackr1. CONCLUSIONS By combining snRNA-seq and Stereo-seq techniques, our study successfully identified a distinctive cellular colocalization, referred to as a special pathological niche, comprising Astro-2, Micro-2, and Vas-1 cells. Furthermore, we observed an upregulation of ligand-receptor pairs within this niche. These findings suggest a potential association between this cellular arrangement and the underlying mechanisms contributing to SAE or the increased mortality observed in Anxa1 knockdown mice.
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Grants
- 2021A1515012429 Natural Science Foundation of Guangdong Province, China
- 211102114530659 Shaoguan Municipal Science and Technology Program, China
- 20221807 Shaoguan Engineering Research Center for Research and Development of Molecular and Cellular Technology in Rapid Diagnosis of Infectious Diseases and Cancer Program, China
- KEYANSHEN (2023) 01 Research Fund for Joint Laboratory for Digital and Precise Detection of Clinical Pathogens, Yuebei People's Hospital Affiliated to Shantou University Medical College, China
- RS202001 Research Project for Outstanding Scholar of Yuebei People's Hospital, Shantou University Medical College, China
- Research Fund for Joint Laboratory for Digital and Precise Detection of Clinical Pathogens, Yuebei People’s Hospital Affiliated to Shantou University Medical College, China
- Research Project for Outstanding Scholar of Yuebei People’s Hospital, Shantou University Medical College, China
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Affiliation(s)
- Yanyan Zhu
- Department of Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, No 133, Huimin Road South, Wujiang District, Shaoguan, 512025, China
- Laboratory for Diagnosis of Clinical Microbiology and Infection, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Research Center for Interdisciplinary & High-quality Innovative Development in Laboratory Medicine, Shaoguan, 512025, China
- Shaoguan Municipal Quality Control Center for Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Shaoguan Municipal Quality Control Center for Surveillance of Bacterial Resistance, Shaoguan, 512025, China
- Shaoguan Engineering Research Center for Research and Development of Molecular and Cellular Technology in Rapid Diagnosis of Infectious Diseases and Cancer, Shaoguan, 512025, China
| | - Yin Zhang
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Sheng He
- Department of Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, No 133, Huimin Road South, Wujiang District, Shaoguan, 512025, China
- Laboratory for Diagnosis of Clinical Microbiology and Infection, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Research Center for Interdisciplinary & High-quality Innovative Development in Laboratory Medicine, Shaoguan, 512025, China
- Shaoguan Municipal Quality Control Center for Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Shaoguan Municipal Quality Control Center for Surveillance of Bacterial Resistance, Shaoguan, 512025, China
- Shaoguan Engineering Research Center for Research and Development of Molecular and Cellular Technology in Rapid Diagnosis of Infectious Diseases and Cancer, Shaoguan, 512025, China
| | - Sanjun Yi
- Department of Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, No 133, Huimin Road South, Wujiang District, Shaoguan, 512025, China
- Laboratory for Diagnosis of Clinical Microbiology and Infection, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Research Center for Interdisciplinary & High-quality Innovative Development in Laboratory Medicine, Shaoguan, 512025, China
- Shaoguan Municipal Quality Control Center for Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Shaoguan Municipal Quality Control Center for Surveillance of Bacterial Resistance, Shaoguan, 512025, China
- Shaoguan Engineering Research Center for Research and Development of Molecular and Cellular Technology in Rapid Diagnosis of Infectious Diseases and Cancer, Shaoguan, 512025, China
| | - Hao Feng
- Jiaxing University Master Degree Cultivation Base, Zhejiang Chinese Medical University, Jiaxing, 314001, China
| | - Xianzhu Xia
- Department of Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, No 133, Huimin Road South, Wujiang District, Shaoguan, 512025, China
- Laboratory for Diagnosis of Clinical Microbiology and Infection, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China
- Research Center for Interdisciplinary & High-quality Innovative Development in Laboratory Medicine, Shaoguan, 512025, China
| | | | - Xiaoqian Gong
- Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China.
| | - Pingsen Zhao
- Department of Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, No 133, Huimin Road South, Wujiang District, Shaoguan, 512025, China.
- Laboratory for Diagnosis of Clinical Microbiology and Infection, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China.
- Research Center for Interdisciplinary & High-quality Innovative Development in Laboratory Medicine, Shaoguan, 512025, China.
- Shaoguan Municipal Quality Control Center for Laboratory Medicine, Yuebei People's Hospital, Shantou University Medical College, Shaoguan, 512025, China.
- Shaoguan Municipal Quality Control Center for Surveillance of Bacterial Resistance, Shaoguan, 512025, China.
- Shaoguan Engineering Research Center for Research and Development of Molecular and Cellular Technology in Rapid Diagnosis of Infectious Diseases and Cancer, Shaoguan, 512025, China.
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Wang H, Yao Z, Kang K, Zhou L, Xiu W, Sun J, Xie C, Yu M, Li Y, Zhang Y, Zheng Y, Lin G, Pan X, Wu Y, Luo R, Wang L, Tang M, Liao S, Zhu J, Zhou X, Zhang X, Xu Y, Liu Y, Peng F, Wang J, Xiang L, Yin L, Deng L, Huang M, Gong Y, Zou B, Wang H, Wu L, Yuan Z, Bi N, Fan M, Xu Y, Tong R, Yi L, Gan L, Xue J, Mo X, Chen C, Na F, Lu Y. Preclinical study and phase II trial of adapting low-dose radiotherapy to immunotherapy in small cell lung cancer. MED 2024:S2666-6340(24)00248-4. [PMID: 38964333 DOI: 10.1016/j.medj.2024.06.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 03/11/2024] [Accepted: 06/12/2024] [Indexed: 07/06/2024]
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) provide modest but unsatisfactory benefits for extensive-stage small cell lung cancer (ES-SCLC). Developing strategies for treating ES-SCLC is critical. METHODS We preliminarily explored the outcomes of salvage low-dose radiotherapy (LDRT) plus ICI on refractory SCLC patients. Next, we evaluated the combinational efficacy in murine SCLC. The tumor immune microenvironment (TIME) was analyzed for mechanistic study. Subsequently, we conducted a multicenter, prospective phase II trial that administered concurrent thoracic LDRT plus chemoimmunotherapy to treatment-naive ES-SCLC patients (MATCH trial, NCT04622228). The primary endpoint was confirmed objective response rate (ORR), and the key secondary endpoints included progression-free survival (PFS) and safety. FINDINGS Fifteen refractory SCLC patients treated with LDRT plus ICI were retrospectively reviewed. The ORR was 73.3% (95% confidence interval [CI], 44.9-92.2). We identified a specific dose of LDRT (15 Gy/5 fractions) that exhibited growth retardation and improved survival in murine SCLC when combined with ICIs. This combination recruited a special T cell population, TCF1+ PD-1+ CD8+ stem-like T cells, from tumor-draining lymph nodes into the TIME. The MATCH trial showed a confirmed ORR of 87.5% (95% CI, 75.9-94.8). The median PFS was 6.9 months (95% CI, 5.4-9.3). CONCLUSIONS These findings verified that LDRT plus chemoimmunotherapy was safe, feasible, and effective for ES-SCLC, warranting further investigation. FUNDING This research was funded by West China Hospital (no. ZYJC21003), the National Natural Science Foundation of China (no. 82073336), and the MATCH trial was fully funded by Roche (China) Holding Ltd. (RCHL) and Shanghai Roche Pharmaceuticals Ltd. (SRPL).
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Affiliation(s)
- Hui Wang
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zhuoran Yao
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Kai Kang
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Lin Zhou
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Weigang Xiu
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jianguo Sun
- Cancer Institute, Xinqiao Hospital, Army Medical University, Chongqing, China
| | - Conghua Xie
- Department of Radiation and Medical Oncology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Min Yu
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yanying Li
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yan Zhang
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Center of Lung Cancer, West China Hospital, Sichuan University, Chengdu, China
| | - Yue Zheng
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Guo Lin
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiangyu Pan
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yijun Wu
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ren Luo
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Laduona Wang
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Min Tang
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Shuangsi Liao
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jiang Zhu
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaojuan Zhou
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xuanwei Zhang
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yong Xu
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yongmei Liu
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Feng Peng
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Jin Wang
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Lisha Xiang
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Limei Yin
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Health Management & Institute of Health Management, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Lei Deng
- University of Washington School of Medicine/Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Meijuan Huang
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Youling Gong
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Bingwen Zou
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Hui Wang
- Department of Radiation Oncology, Hunan Cancer Hospital, Changsha, China
| | - Lin Wu
- Department of Thoracic Medicine, Hunan Cancer Hospital, Changsha, China
| | - Zhiyong Yuan
- Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Nan Bi
- Department of Radiation Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Min Fan
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yaping Xu
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ruizhan Tong
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Linglu Yi
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Lu Gan
- Research Laboratory of Emergency Medicine, Department of Emergency Medicine, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Jianxin Xue
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xianming Mo
- Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China
| | - Chong Chen
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Feifei Na
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
| | - You Lu
- Division of Thoracic Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
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Huang YH, Yoon CH, Gandhi A, Hanley T, Castrillon C, Kondo Y, Lin X, Kim W, Yang C, Driouchi A, Carroll M, Gray-Owen SD, Wesemann DR, Drake CG, Bertagnolli MM, Beauchemin N, Blumberg RS. High-dimensional mapping of human CEACAM1 expression on immune cells and association with melanoma drug resistance. COMMUNICATIONS MEDICINE 2024; 4:128. [PMID: 38956268 PMCID: PMC11219841 DOI: 10.1038/s43856-024-00525-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 05/08/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Human carcinoembryonic antigen cell adhesion molecule 1 (CEACAM1) is an inhibitory cell surface protein that functions through homophilic and heterophilic ligand binding. Its expression on immune cells in human tumors is poorly understood. METHODS An antibody that distinguishes human CEACAM1 from other highly related CEACAM family members was labeled with 159Tb and inserted into a panel of antibodies that included specificity for programmed cell death protein 1 (PD1) and PD-L1, which are targets of immunotherapy, to gain a data-driven immune cell atlas using cytometry by time-of-flight (CyTOF). A detailed inventory of CEACAM1, PD1, and PD-L1 expression on immune cells in metastatic lesions to lymph node or soft tissues and peripheral blood samples from patients with treatment-naive and -resistant melanoma as well as peripheral blood samples from healthy controls was performed. RESULTS CEACAM1 is absent or at low levels on healthy circulating immune cells but is increased on immune cells in peripheral blood and tumors of melanoma patients. The majority of circulating PD1-positive NK cells, innate T cells, B cells, monocytic cells, dendritic cells, and CD4+ T cells in the peripheral circulation of treatment-resistant disease co-express CEACAM1 and are demonstrable as discrete populations. CEACAM1 is present on distinct types of cells that are unique to the tumor microenvironment and exhibit expression levels that are highest in treatment resistance; this includes tumor-infiltrating CD8+ T cells. CONCLUSIONS To the best of our knowledge, this work represents the first comprehensive atlas of CEACAM1 expression on immune cells in a human tumor and reveals an important correlation with treatment-resistant disease. These studies suggest that agents targeting CEACAM1 may represent appropriate partners for PD1-related pathway therapies.
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Affiliation(s)
- Yu-Hwa Huang
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Charles H Yoon
- Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Amit Gandhi
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Thomas Hanley
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Carlos Castrillon
- Program in Cellular and Molecular Medicine, Children's Hospital Medical Center, Harvard Medical School, Boston, MA, USA
| | - Yasuyuki Kondo
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Internal Medicine, Graduate School of Medicine, Kobe University, Kobe, Japan
| | - Xi Lin
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Walter Kim
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Chao Yang
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Amine Driouchi
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Michael Carroll
- Program in Cellular and Molecular Medicine, Children's Hospital Medical Center, Harvard Medical School, Boston, MA, USA
| | - Scott D Gray-Owen
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Duane R Wesemann
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Division of Allergy and Immunology, Division of Genetics, Brigham and Women's Hospital and Ragon Institute of MGH, MIT and Harvard, Boston, MA, USA
| | - Charles G Drake
- Herbert Irving Comprehensive Cancer Center, Columbia University School of Medicine, New York, NY, USA
- Janssen R&D, Springhouse, PA, USA
| | - Monica M Bertagnolli
- Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- National Institutes of Health, Bethesda, MD, USA
| | - Nicole Beauchemin
- Rosalind and Morris Goodman Cancer Institute, McGill University, Montreal, QC, Canada
| | - Richard S Blumberg
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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40
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Shi M, Jia JS, Gao GS, Hua X. Advances and challenges of exosome-derived noncoding RNAs for hepatocellular carcinoma diagnosis and treatment. Biochem Biophys Rep 2024; 38:101695. [PMID: 38560049 PMCID: PMC10979073 DOI: 10.1016/j.bbrep.2024.101695] [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: 11/05/2023] [Revised: 02/10/2024] [Accepted: 03/20/2024] [Indexed: 04/04/2024] Open
Abstract
Exosomes, also termed extracellular vesicles (EVs), are an important component of the tumor microenvironment (TME) and exert versatile effects on the molecular communications in the TME of hepatocellular carcinoma (HCC). Exosome-mediated intercellular communication is closely associated with the tumorigenesis and development of HCC. Exosomes can be extracted through ultracentrifugation and size exclusion, followed by molecular analysis through sequencing. Increasing studies have confirmed the important roles of exosome-derived ncRNAs in HCC, including tumorigenesis, progression, immune escape, and treatment resistance. Due to the protective membrane structure of exosomes, the ncRNAs carried by exosomes can evade degradation by enzymes in body fluids and maintain good expression stability. Thus, exosome-derived ncRNAs are highly suitable as biomarkers for the diagnosis and prognostic prediction of HCC, such as exosomal miR-21-5p, miR-221-3p and lncRNA-ATB. In addition, substantial studies revealed that the up-or down-regulation of exosome-derived ncRNAs had an important impact on HCC progression and response to treatment. Exosomal biomarkers, such as miR-23a, lncRNA DLX6-AS1, miR-21-5p, lncRNA TUC339, lncRNA HMMR-AS1 and hsa_circ_0004658, can reshape immune microenvironment by regulating M2-type macrophage polarization and then promote HCC development. Therefore, by controlling exosome biogenesis and modulating exosomal ncRNA levels, HCC may be inhibited or eliminated. In this current review, we summarized the recent findings on the role of exosomes in HCC progression and analyzed the relationship between exosome-derived ncRNAs and HCC diagnosis and treatment.
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Affiliation(s)
- Min Shi
- Department of Clinical Laboratory, Ningbo No.2 Hospital, Ningbo, Zhejiang, China
| | - Jun-Su Jia
- Department of Clinical Laboratory, Ningbo No.2 Hospital, Ningbo, Zhejiang, China
| | - Guo-Sheng Gao
- Department of Clinical Laboratory, Ningbo No.2 Hospital, Ningbo, Zhejiang, China
| | - Xin Hua
- Department of Clinical Laboratory, Ningbo No.2 Hospital, Ningbo, Zhejiang, China
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Chen Y, Shen J, Ling C, Liang Z, Huang S, Lin W, Qin Y, Meng L, Luo Y. Exploring the role of CD8 + T cells in clear renal cell carcinoma metastasis. FEBS Open Bio 2024; 14:1205-1217. [PMID: 38872260 PMCID: PMC11216920 DOI: 10.1002/2211-5463.13819] [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: 08/23/2023] [Revised: 04/04/2024] [Accepted: 05/03/2024] [Indexed: 06/15/2024] Open
Abstract
Clear cell renal cell carcinoma (ccRCC) accounts for approximately 75-80% of all patients with renal cell carcinoma. Despite its prevalence, little is known regarding the key components involved in ccRCC metastasis. In this study, scRNA-seq analysis was employed to classify CD8+ T cells into four sub-clusters based on their genetic profiles and immunofluorescence experiments were used to validate two key clusters. Through gene set enrichment analysis, these newly identified sub-clusters were found to exhibit distinct biological characteristics. Notably, TYMP, TOP2A, CHI3L2, CDKN3, CENPM, and RZH2 were highly expressed in these sub-clusters, indicating a correlation with poor prognosis. Among these sub-clusters, CD8+ T cells (MT-ND4) were identified as potentially playing a critical role in mediating ccRCC metastasis. These results contribute to our understanding of CD8+ T cell heterogeneity in ccRCC and shed light on the mechanisms underlying the loss of immune response against cancer.
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Affiliation(s)
- Yuanhong Chen
- Center for Systemic Inflammation Research (CSIR), School of Preclinical MedicineYoujiang Medical University for NationalitiesBaiseChina
- Department of Pathogenic Biology and ImmunologyYoujiang Medical University for NationalitiesBaiseChina
| | - Jiajia Shen
- Center for Systemic Inflammation Research (CSIR), School of Preclinical MedicineYoujiang Medical University for NationalitiesBaiseChina
| | - Caixia Ling
- Modern Industrial College of Biomedicine and Great HealthYoujiang Medical University for NationalitiesBaiseChina
| | - Zhengfang Liang
- Department of Urinary SurgeryThe Affiliated Hospital of Youjiang Medical University for NationalitiesBaiseChina
| | - Shaoang Huang
- Center for Systemic Inflammation Research (CSIR), School of Preclinical MedicineYoujiang Medical University for NationalitiesBaiseChina
| | - Wenxian Lin
- Center for Systemic Inflammation Research (CSIR), School of Preclinical MedicineYoujiang Medical University for NationalitiesBaiseChina
- Department of Interventional OncologyAffiliated Hospital of Youjiang Medical College for NationalitiesBaiseChina
| | - Yujuan Qin
- Center for Systemic Inflammation Research (CSIR), School of Preclinical MedicineYoujiang Medical University for NationalitiesBaiseChina
| | - Lingzhang Meng
- Center for Systemic Inflammation Research (CSIR), School of Preclinical MedicineYoujiang Medical University for NationalitiesBaiseChina
- Institute of Cardiovascular SciencesGuangxi Academy of Medical SciencesNanningChina
| | - Yanhong Luo
- Center for Systemic Inflammation Research (CSIR), School of Preclinical MedicineYoujiang Medical University for NationalitiesBaiseChina
- Modern Industrial College of Biomedicine and Great HealthYoujiang Medical University for NationalitiesBaiseChina
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42
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Zemek RM, Anagnostou V, Pires da Silva I, Long GV, Lesterhuis WJ. Exploiting temporal aspects of cancer immunotherapy. Nat Rev Cancer 2024; 24:480-497. [PMID: 38886574 DOI: 10.1038/s41568-024-00699-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/25/2024] [Indexed: 06/20/2024]
Abstract
Many mechanisms underlying an effective immunotherapy-induced antitumour response are transient and critically time dependent. This is equally true for several immunological events in the tumour microenvironment induced by other cancer treatments. Immune checkpoint therapy (ICT) has proven to be very effective in the treatment of some cancers, but unfortunately, with many cancer types, most patients do not experience a benefit. To improve outcomes, a multitude of clinical trials are testing combinations of ICT with various other treatment modalities. Ideally, those combination treatments should take time-dependent immunological events into account. Recent studies have started to map the dynamic cellular and molecular changes that occur during treatment with ICT, in the tumour and systemically. Here, we overlay the dynamic ICT response with the therapeutic response following surgery, radiotherapy, chemotherapy and targeted therapies. We propose that by combining treatments in a time-conscious manner, we may optimally exploit the interactions between the individual therapies.
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Affiliation(s)
- Rachael M Zemek
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia
- Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Valsamo Anagnostou
- The Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Inês Pires da Silva
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine & Health, The University of Sydney, Sydney, New South Wales, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Crown Princess Mary Cancer Centre Westmead, Blacktown Hospital, Sydney, New South Wales, Australia
| | - Georgina V Long
- Melanoma Institute Australia, The University of Sydney, Sydney, New South Wales, Australia
- Faculty of Medicine & Health, The University of Sydney, Sydney, New South Wales, Australia
- Charles Perkins Centre, The University of Sydney, Sydney, New South Wales, Australia
- Royal North Shore and Mater Hospitals, Sydney, New South Wales, Australia
| | - Willem Joost Lesterhuis
- Telethon Kids Institute, University of Western Australia, Perth, Western Australia, Australia.
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Liu S, Li G, Yin X, Zhou Y, Luo D, Yang Z, Zhang J, Wang J. Comprehensive investigation of malignant epithelial cell-related genes in clear cell renal cell carcinoma: development of a prognostic signature and exploration of tumor microenvironment interactions. J Transl Med 2024; 22:607. [PMID: 38951896 PMCID: PMC11218120 DOI: 10.1186/s12967-024-05426-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Accepted: 06/19/2024] [Indexed: 07/03/2024] Open
Abstract
Clear cell renal cell carcinoma (ccRCC) is a prevalent malignancy with complex heterogeneity within epithelial cells, which plays a crucial role in tumor progression and immune regulation. Yet, the clinical importance of the malignant epithelial cell-related genes (MECRGs) in ccRCC remains insufficiently understood. This research aims to undertake a comprehensive investigation into the functions and clinical relevance of malignant epithelial cell-related genes in ccRCC, providing valuable understanding of the molecular mechanisms and offering potential targets for treatment strategies. Using data from single-cell sequencing, we successfully identified 219 MECRGs and established a prognostic model MECRGS (MECRGs' signature) by synergistically analyzing 101 machine-learning models using 10 different algorithms. Remarkably, the MECRGS demonstrated superior predictive performance compared to traditional clinical features and 92 previously published signatures across six cohorts, showcasing its independence and accuracy. Upon stratifying patients into high- and low-MECRGS subgroups using the specified cut-off threshold, we noted that patients with elevated MECRGS scores displayed characteristics of an immune suppressive tumor microenvironment (TME) and showed worse outcomes after immunotherapy. Additionally, we discovered a distinct ccRCC tumor cell subtype characterized by the high expressions of PLOD2 (procollagen-lysine,2-oxoglutarate 5-dioxygenase 2) and SAA1 (Serum Amyloid A1), which we further validated in the Renji tissue microarray (TMA) cohort. Lastly, 'Cellchat' revealed potential crosstalk patterns between these cells and other cell types, indicating their potential role in recruiting CD163 + macrophages and regulatory T cells (Tregs), thereby establishing an immunosuppressive TME. PLOD2 + SAA1 + cancer cells with intricate crosstalk patterns indeed show promise for potential therapeutic interventions.
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Affiliation(s)
- Songyang Liu
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ge Li
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaomao Yin
- Department of Gastrointestinal Surgery, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yihan Zhou
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Dongmei Luo
- Department of Internal Medicine, Shanghai Gongli Hospital, Second Military Medical University, Shanghai, China
| | - Zhenggang Yang
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jin Zhang
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Jianfeng Wang
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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Bilous M, Hérault L, Gabriel AA, Teleman M, Gfeller D. Building and analyzing metacells in single-cell genomics data. Mol Syst Biol 2024; 20:744-766. [PMID: 38811801 PMCID: PMC11220014 DOI: 10.1038/s44320-024-00045-6] [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: 02/04/2024] [Revised: 05/03/2024] [Accepted: 05/08/2024] [Indexed: 05/31/2024] Open
Abstract
The advent of high-throughput single-cell genomics technologies has fundamentally transformed biological sciences. Currently, millions of cells from complex biological tissues can be phenotypically profiled across multiple modalities. The scaling of computational methods to analyze and visualize such data is a constant challenge, and tools need to be regularly updated, if not redesigned, to cope with ever-growing numbers of cells. Over the last few years, metacells have been introduced to reduce the size and complexity of single-cell genomics data while preserving biologically relevant information and improving interpretability. Here, we review recent studies that capitalize on the concept of metacells-and the many variants in nomenclature that have been used. We further outline how and when metacells should (or should not) be used to analyze single-cell genomics data and what should be considered when analyzing such data at the metacell level. To facilitate the exploration of metacells, we provide a comprehensive tutorial on the construction and analysis of metacells from single-cell RNA-seq data ( https://github.com/GfellerLab/MetacellAnalysisTutorial ) as well as a fully integrated pipeline to rapidly build, visualize and evaluate metacells with different methods ( https://github.com/GfellerLab/MetacellAnalysisToolkit ).
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Affiliation(s)
- Mariia Bilous
- Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne, 1011, Lausanne, Switzerland
- Agora Cancer Research Centre, 1011, Lausanne, Switzerland
- Swiss Cancer Center Leman (SCCL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), 1015, Lausanne, Switzerland
| | - Léonard Hérault
- Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne, 1011, Lausanne, Switzerland
- Agora Cancer Research Centre, 1011, Lausanne, Switzerland
- Swiss Cancer Center Leman (SCCL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), 1015, Lausanne, Switzerland
| | - Aurélie Ag Gabriel
- Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne, 1011, Lausanne, Switzerland
- Agora Cancer Research Centre, 1011, Lausanne, Switzerland
- Swiss Cancer Center Leman (SCCL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), 1015, Lausanne, Switzerland
| | - Matei Teleman
- Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne, 1011, Lausanne, Switzerland
- Agora Cancer Research Centre, 1011, Lausanne, Switzerland
- Swiss Cancer Center Leman (SCCL), Lausanne, Switzerland
- Swiss Institute of Bioinformatics (SIB), 1015, Lausanne, Switzerland
| | - David Gfeller
- Department of Oncology, Ludwig Institute for Cancer Research Lausanne, University of Lausanne, 1011, Lausanne, Switzerland.
- Agora Cancer Research Centre, 1011, Lausanne, Switzerland.
- Swiss Cancer Center Leman (SCCL), Lausanne, Switzerland.
- Swiss Institute of Bioinformatics (SIB), 1015, Lausanne, Switzerland.
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45
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Sun H, Han X, Du Z, Chen G, Guo T, Xie F, Gu W, Shi Z. Machine learning for the identification of neoantigen-reactive CD8 + T cells in gastrointestinal cancer using single-cell sequencing. Br J Cancer 2024; 131:387-402. [PMID: 38849478 PMCID: PMC11263575 DOI: 10.1038/s41416-024-02737-0] [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] [Received: 11/13/2023] [Revised: 05/18/2024] [Accepted: 05/23/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND It appears that tumour-infiltrating neoantigen-reactive CD8 + T (Neo T) cells are the primary driver of immune responses to gastrointestinal cancer in patients. However, the conventional method is very time-consuming and complex for identifying Neo T cells and their corresponding T cell receptors (TCRs). METHODS By mapping neoantigen-reactive T cells from the single-cell transcriptomes of thousands of tumour-infiltrating lymphocytes, we developed a 26-gene machine learning model for the identification of neoantigen-reactive T cells. RESULTS In both training and validation sets, the model performed admirably. We discovered that the majority of Neo T cells exhibited notable differences in the biological processes of amide-related signal pathways. The analysis of potential cell-to-cell interactions, in conjunction with spatial transcriptomic and multiplex immunohistochemistry data, has revealed that Neo T cells possess potent signalling molecules, including LTA, which can potentially engage with tumour cells within the tumour microenvironment, thereby exerting anti-tumour effects. By sequencing CD8 + T cells in tumour samples of patients undergoing neoadjuvant immunotherapy, we determined that the fraction of Neo T cells was significantly and positively linked with the clinical benefit and overall survival rate of patients. CONCLUSION This method expedites the identification of neoantigen-reactive TCRs and the engineering of neoantigen-reactive T cells for therapy.
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Affiliation(s)
- Hongwei Sun
- Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Xiao Han
- KangChen Bio-tech., Ltd, ShangHai, China
| | - Zhengliang Du
- Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Geer Chen
- Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Tonglei Guo
- Data and Analysis Center for Genetic Diseases, Beijing Chigene Translational Medicine Research Center Co, Ltd, Tongzhou District, Beijing, China
| | - Fei Xie
- Data and Analysis Center for Genetic Diseases, Beijing Chigene Translational Medicine Research Center Co, Ltd, Tongzhou District, Beijing, China
| | - Weiyue Gu
- Data and Analysis Center for Genetic Diseases, Beijing Chigene Translational Medicine Research Center Co, Ltd, Tongzhou District, Beijing, China
- Chineo Medical Technology Co., Ltd, Beijing, 100101, China
| | - Zhiwen Shi
- Key Laboratory of Laboratory Medicine, Ministry of Education, School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
- Data and Analysis Center for Genetic Diseases, Beijing Chigene Translational Medicine Research Center Co, Ltd, Tongzhou District, Beijing, China.
- Chineo Medical Technology Co., Ltd, Beijing, 100101, China.
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46
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Yang Y, Dong L, Li Y, Huang Y, Zeng X. Summary data-based Mendelian randomization and single-cell RNA sequencing analyses identify immune associations with low-level LGALS9 in sepsis. J Cell Mol Med 2024; 28:e18559. [PMID: 39044269 PMCID: PMC11265992 DOI: 10.1111/jcmm.18559] [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: 05/02/2024] [Revised: 06/15/2024] [Accepted: 07/08/2024] [Indexed: 07/25/2024] Open
Abstract
Sepsis is one of the major challenges in intensive care units, characterized by the complexity of the host immune status. To gain a deeper understanding of the pathogenesis of sepsis, it is crucial to study the phenotypic changes in immune cells and their underlying molecular mechanisms. We conducted Summary data-based Mendelian randomization analysis by integrating genome-wide association studies data for sepsis with expression quantitative trait locus data, revealing a significant decrease in the expression levels of 17 biomarkers in sepsis patients. Furthermore, based on single-cell RNA sequencing data, we elucidated potential molecular mechanisms at single-cell resolution and identified that LGALS9 inhibition in sepsis patients leads to the activation and differentiation of monocyte and T-cell subtypes. These findings are expected to assist researchers in gaining a more in-depth understanding of the immune dysregulation in sepsis.
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Affiliation(s)
- Yongsan Yang
- Intensive Care Unit and West China Biomedical Big Data CenterWest China Hospital, Sichuan UniversityChengduChina
- Med‐X Center for InformaticsSichuan UniversityChengduChina
| | - Lei Dong
- Key Laboratory of RNA Biology, Center for Big Data Research in Health, Institute of Biophysics, Chinese Academy of SciencesBeijingChina
| | - Yanguo Li
- Institute of Drug Discovery Technology, Ningbo UniversityNingboChina
| | - Ye Huang
- Department of Emergency MedicineXiyuan Hospital of China Academy of Chinese Medical SciencesBeijingChina
| | - Xiaoxi Zeng
- Med‐X Center for InformaticsSichuan UniversityChengduChina
- West China Biomedical Big Data CenterWest China Hospital, Sichuan UniversityChengduChina
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47
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Kaptein P, Slingerland N, Metoikidou C, Prinz F, Brokamp S, Machuca-Ostos M, de Roo G, Schumacher TN, Yeung YA, Moynihan KD, Djuretic IM, Thommen DS. CD8-Targeted IL2 Unleashes Tumor-Specific Immunity in Human Cancer Tissue by Reviving the Dysfunctional T-cell Pool. Cancer Discov 2024; 14:1226-1251. [PMID: 38563969 PMCID: PMC11215409 DOI: 10.1158/2159-8290.cd-23-1263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 02/05/2024] [Accepted: 03/26/2024] [Indexed: 04/04/2024]
Abstract
Tumor-specific CD8+ T cells are key effectors of antitumor immunity but are often rendered dysfunctional in the tumor microenvironment. Immune-checkpoint blockade can restore antitumor T-cell function in some patients; however, most do not respond to this therapy, often despite T-cell infiltration in their tumors. We here explored a CD8-targeted IL2 fusion molecule (CD8-IL2) to selectively reactivate intratumoral CD8+ T cells in patient-derived tumor fragments. Treatment with CD8-IL2 broadly armed intratumoral CD8+ T cells with enhanced effector capacity, thereby specifically enabling reinvigoration of the dysfunctional T-cell pool to elicit potent immune activity. Notably, the revival of dysfunctional T cells to mediate effector activity by CD8-IL2 depended on simultaneous antigen recognition and was quantitatively and qualitatively superior to that achieved by PD-1 blockade. Finally, CD8-IL2 was able to functionally reinvigorate T cells in tumors resistant to anti-PD-1, underscoring its potential as a novel treatment strategy for patients with cancer. Significance: Reinvigorating T cells is crucial for response to checkpoint blockade therapy. However, emerging evidence suggests that the PD-1/PD-L1 axis is not the sole impediment for activating T cells within tumors. Selectively targeting cytokines toward specific T-cell subsets might overcome these barriers and stimulate T cells within resistant tumors. See related article by Moynihan et al., p. 1206 (32).
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Affiliation(s)
- Paulien Kaptein
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Nadine Slingerland
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Christina Metoikidou
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Felix Prinz
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
- Division of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
| | - Simone Brokamp
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Mercedes Machuca-Ostos
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
- Division of Tumor Biology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Guido de Roo
- Flow Cytometry Facility, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
| | - Ton N.M. Schumacher
- Division of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
- Department of Hematology, Leiden University Medical Center, Leiden, the Netherlands.
| | - Yik A. Yeung
- Asher Biotherapeutics, Inc., South San Francisco, California.
| | | | | | - Daniela S. Thommen
- Division of Molecular Oncology and Immunology, The Netherlands Cancer Institute, Amsterdam, the Netherlands.
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48
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McAndrews KM, Mahadevan KK, Kalluri R. Mouse Models to Evaluate the Functional Role of the Tumor Microenvironment in Cancer Progression and Therapy Responses. Cold Spring Harb Perspect Med 2024; 14:a041411. [PMID: 38191175 PMCID: PMC11216184 DOI: 10.1101/cshperspect.a041411] [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: 01/10/2024]
Abstract
The tumor microenvironment (TME) is a complex ecosystem of both cellular and noncellular components that functions to impact the evolution of cancer. Various aspects of the TME have been targeted for the control of cancer; however, TME composition is dynamic, with the overall abundance of immune cells, endothelial cells (ECs), fibroblasts, and extracellular matrix (ECM) as well as subsets of TME components changing at different stages of progression and in response to therapy. To effectively treat cancer, an understanding of the functional role of the TME is needed. Genetically engineered mouse models have enabled comprehensive insight into the complex interactions within the TME ecosystem that regulate disease progression. Here, we review recent advances in mouse models that have been employed to understand how the TME regulates cancer initiation, progression, metastasis, and response to therapy.
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Affiliation(s)
- Kathleen M McAndrews
- Department of Cancer Biology, Metastasis Research Center, University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Krishnan K Mahadevan
- Department of Cancer Biology, Metastasis Research Center, University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
| | - Raghu Kalluri
- Department of Cancer Biology, Metastasis Research Center, University of Texas MD Anderson Cancer Center, Houston, Texas 77054, USA
- Department of Bioengineering, Rice University, Houston, Texas 77251, USA
- Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA
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49
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Witkop EM, Diggins K, Wiedeman A, Serti E, Nepom G, Gersuk VH, Fuchs B, Long SA, Linsley PS. Interconnected lineage trajectories link conventional and natural killer (NK)-like exhausted CD8 + T cells beneficial in type 1 diabetes. Commun Biol 2024; 7:773. [PMID: 38937521 PMCID: PMC11211332 DOI: 10.1038/s42003-024-06456-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 06/14/2024] [Indexed: 06/29/2024] Open
Abstract
Distinct Natural Killer (NK)-like CD57+ and PD-1+ CD8+ exhausted-like T cell populations (Tex) have both been linked to beneficial immunotherapy response in autoimmune type 1 diabetes (T1D) patients. The origins and relationships between these cell types are poorly understood. Here we show that while PD-1+ and CD57+ Tex populations are epigenetically similar, CD57+ Tex cells display unique increased chromatin accessibility of inhibitory Killer Cell Immunoglobulin-like Receptor (iKIR) and other NK cell genes. PD-1+ and CD57+ Tex also show reciprocal expression of Inhibitory Receptors (IRs) and iKIRs accompanied by chromatin accessibility of Tcf1 and Tbet transcription factor target sites, respectively. CD57+ Tex show unappreciated gene expression heterogeneity and share clonal relationships with PD-1+ Tex, with these cells differentiating along four interconnected lineage trajectories: Tex-PD-1+, Tex-CD57+, Tex-Branching, and Tex-Fluid. Our findings demonstrate new relationships between Tex-like populations in human autoimmune disease and suggest that modulating common precursor populations may enhance response to autoimmune disease treatment.
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Affiliation(s)
- Erin M Witkop
- Benaroya Research Institute, Systems Immunology, Seattle, WA, USA
| | - Kirsten Diggins
- Benaroya Research Institute, Systems Immunology, Seattle, WA, USA
| | - Alice Wiedeman
- Benaroya Research Institute, Translational Immunology, Seattle, WA, USA
| | | | - Gerald Nepom
- Benaroya Research Institute, Translational Immunology, Seattle, WA, USA
- Immune Tolerance Network (ITN), Bethesda, MD, USA
| | - Vivian H Gersuk
- Benaroya Research Institute, Genomics Core, Seattle, WA, USA
| | - Bryce Fuchs
- Benaroya Research Institute, Translational Immunology, Seattle, WA, USA
| | - S Alice Long
- Benaroya Research Institute, Translational Immunology, Seattle, WA, USA
| | - Peter S Linsley
- Benaroya Research Institute, Systems Immunology, Seattle, WA, USA.
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Li C, Hong W, Reuben A, Wang L, Maitra A, Zhang J, Cheng C. TimiGP-Response: the pan-cancer immune landscape associated with response to immunotherapy. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.21.600089. [PMID: 38979334 PMCID: PMC11230183 DOI: 10.1101/2024.06.21.600089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Accumulating evidence suggests that the tumor immune microenvironment (TIME) significantly influences the response to immunotherapy, yet this complex relationship remains elusive. To address this issue, we developed TimiGP-Response (TIME Illustration based on Gene Pairing designed for immunotherapy Response), a computational framework leveraging single-cell and bulk transcriptomic data, along with response information, to construct cell-cell interaction networks associated with responders and estimate the role of immune cells in treatment response. This framework was showcased in triple-negative breast cancer treated with immune checkpoint inhibitors targeting the PD-1:PD-L1 interaction, and orthogonally validated with imaging mass cytometry. As a result, we identified CD8+ GZMB+ T cells associated with responders and its interaction with regulatory T cells emerged as a potential feature for selecting patients who may benefit from these therapies. Subsequently, we analyzed 3,410 patients with seven cancer types (melanoma, non-small cell lung cancer, renal cell carcinoma, metastatic urothelial carcinoma, hepatocellular carcinoma, breast cancer, and esophageal cancer) treated with various immunotherapies and combination therapies, as well as several chemo- and targeted therapies as controls. Using TimiGP-Response, we depicted the pan-cancer immune landscape associated with immunotherapy response at different resolutions. At the TIME level, CD8 T cells and CD4 memory T cells were associated with responders, while anti-inflammatory (M2) macrophages and mast cells were linked to non-responders across most cancer types and datasets. Given that T cells are the primary targets of these immunotherapies and our TIME analysis highlights their importance in response to treatment, we portrayed the pan-caner landscape on 40 T cell subtypes. Notably, CD8+ and CD4+ GZMK+ effector memory T cells emerged as crucial across all cancer types and treatments, while IL-17-producing CD8+ T cells were top candidates associated with immunotherapy non-responders. In summary, this study provides a computational method to study the association between TIME and response across the pan-cancer immune landscape, offering resources and insights into immune cell interactions and their impact on treatment efficacy.
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Affiliation(s)
- Chenyang Li
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center UTHealth Houston, Houston, TX 77030, USA
| | - Wei Hong
- Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
| | - Alexandre Reuben
- Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center UTHealth Houston, Houston, TX 77030, USA
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Linghua Wang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center UTHealth Houston, Houston, TX 77030, USA
| | - Anirban Maitra
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Sheikh Ahmed Center for Pancreatic Cancer Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jianjun Zhang
- Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center UTHealth Houston, Houston, TX 77030, USA
- Department of Thoracic/Head and Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Lung Cancer Genomics Program, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
- Lung Cancer Interception Program, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Chao Cheng
- Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA
- Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA
- The Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX 77030, USA
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