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Weng Z, Mai Z, Yuan J, Liu Q, Deng F, Yang H, Ling Y, Xie X, Lin X, Lin T, Chen J, Wei X, Luo K, Fu J, Wen J. Evolution of genome and immunogenome in esophageal squamous cell carcinomas driven by neoadjuvant chemoradiotherapy. Int J Cancer 2024; 155:2021-2035. [PMID: 39081132 DOI: 10.1002/ijc.35118] [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: 03/25/2024] [Revised: 06/26/2024] [Accepted: 07/05/2024] [Indexed: 10/04/2024]
Abstract
Neoadjuvant chemoradiotherapy (NCRT) followed by surgery is a standard treatment for locally advanced esophageal squamous cell carcinomas (ESCCs). However, the evolution of genome and immunogenome in ESCCs driven by NCRT remains incompletely elucidated. We performed whole-exome sequencing of 51 ESCC tumors collected before and after NCRT, 36 of which were subjected to transcriptome sequencing. Clonal analysis identified clonal extinction in 13 ESCC patients wherein all pre-NCRT clones disappeared after NCRT, and clonal persistence in 9 patients wherein clones endured following NCRT. The clone-persistent patients showed higher pre-NCRT genomic intratumoral heterogeneity and worse prognosis than the clone-extinct ones. In contrast to the clone-extinct patients, the clone-persistent patients demonstrated a high proportion of subclonal neoantigens within pre-treatment specimens. Transcriptome analysis revealed increased immune infiltrations and up-regulated immune-related pathways after NCRT, especially in the clone-extinct patients. The number of T cell receptor-neoantigen interactions was higher in the clone-extinct patients than in the clone-persistent ones. The decrease in T cell repertoire evenness positively correlated to the decreased number of clonal neoantigens after NCRT, especially in the clone-extinct patients. In conclusion, we identified two prognosis-related clonal dynamic modes driven by NCRT in ESCCs. This study extended our knowledge of the ESCC genome and immunogenome evolutions driven by NCRT.
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Affiliation(s)
- Zelin Weng
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Zihang Mai
- Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
- Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jianye Yuan
- Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
- Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, China
- Department of Thoracic Surgery, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China
| | - Qianwen Liu
- Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
- Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Fangqi Deng
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hong Yang
- 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 Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
- Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yihong Ling
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiuying Xie
- Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiaodan Lin
- Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Ting Lin
- Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jiyang Chen
- Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xiaoli Wei
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Kongjia Luo
- Department of Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
- Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jianhua Fu
- 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 Thoracic Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China
- Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jing Wen
- State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China
- Guangdong Esophageal Cancer Institute, Sun Yat-sen University Cancer Center, Guangzhou, China
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Lin M, Li K, Zou Y, Huang H, Zhao X, Yang S, Zhao C. Intratumoral and peritumoral radiomics model for the preoperative prediction of cribriform component in invasive lung adenocarcinoma: a multicenter study. Clin Transl Oncol 2024:10.1007/s12094-024-03705-z. [PMID: 39367181 DOI: 10.1007/s12094-024-03705-z] [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: 06/13/2024] [Accepted: 08/28/2024] [Indexed: 10/06/2024]
Abstract
PURPOSE This study aimed to investigate the predictive value of intratumoral and peritumoral radiomics model for the cribriform component (CC) of invasive lung adenocarcinoma (LUAD). MATERIALS AND METHODS The 144 patients with invasive LUAD from our center were randomly divided into training set (n = 100) and internal validation set (n = 44) in a ratio of 7:3, and 75 patients from center 2 were regarded as the external validation set. Clinical risk factors were examined using univariate and multivariate logistic regression to construct the clinical model. We extracted radiomics features from gross tumor volume (GTV), gross and peritumoral volume (GPTV), and peritumoral volume (PTV), respectively. Radiomics models were constructed with selected features. A combined model based on the optimal Radscore and clinically independent predictors was constructed, and its predictive performance was assessed by receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA). RESULTS The area under curves (AUCs) of the GTV model were 0.882 (95% CI 0.817-0.948), 0.794 (95% CI 0.656-0.932), and 0.766 (95% CI 0.657-0.875) in the training, internal validation, and external validation sets, and the PTV model had AUCs of 0.812 (95% CI 0.725-0.899), 0.749 (95% CI 0.597-0.902), and 0.670 (95% CI 0.543-0.798) in the training, internal validation, and external validation sets, respectively. However, the GPTV radiomics model showed better predictive performance compared with the GTV and PTV radiomics models, with the AUCs of 0.950 (95% CI 0.911-0.989), 0.844 (95% CI 0.728-0.959), and 0.815 (95% CI 0.713-0.917) in the training, internal validation and external validation sets, respectively. In the clinical model, tumor shape, lobulation sign and maximal diameter were the independent predictors of CC in invasive LUAD. The combined model including independent clinical predictors and GPTV-Radscore show the considerable instructive to clinical practice, with the AUCs of 0.954(95% CI 0.918-0.990), 0.861(95% CI 0.752-0.970), and 0.794(95% CI 0.690-0.898) in training, internal validation, and external validation sets, respectively. DCA showed that the combined model had good clinical value and correction effect. CONCLUSION Radiomics model is a very powerful tool for predicting CC growth pattern in invasive LUAD and can help clinicians make the strategies of treatment and surveillance in patients with invasive LUAD.
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Affiliation(s)
- Miaomiao Lin
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Nanning, 530021, Guangxi, China
| | - Kai Li
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No. 06 Shuangyong Road, Nanning, 530021, China
| | - Yanni Zou
- Department of Radiology, The First Affiliated Hospital of Guangxi Medical University, No. 06 Shuangyong Road, Nanning, 530021, China
| | - Haipeng Huang
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Nanning, 530021, Guangxi, China
| | - Xiang Zhao
- Baise People's Hospital, No. 8 Chengxiang Road, Baise, 533000, Guangxi, China
| | - Siyu Yang
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Nanning, 530021, Guangxi, China
| | - Chunli Zhao
- Department of Radiology, The People's Hospital of Guangxi Zhuang Autonomous Region, Guangxi Academy of Medical Sciences, No. 6 Taoyuan Road, Nanning, 530021, Guangxi, China.
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Zhang D, Wang M, Liu G, Li X, Yu W, Hui Z, Ren X, Sun Q. Novel FABP4 +C1q + macrophages enhance antitumor immunity and associated with response to neoadjuvant pembrolizumab and chemotherapy in NSCLC via AMPK/JAK/STAT axis. Cell Death Dis 2024; 15:717. [PMID: 39353883 PMCID: PMC11445384 DOI: 10.1038/s41419-024-07074-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: 03/04/2024] [Revised: 09/07/2024] [Accepted: 09/12/2024] [Indexed: 10/03/2024]
Abstract
Immune checkpoint inhibitors (ICIs) immunotherapy facilitates new approaches to achieve precision cancer treatment. A growing number of patients with non-small cell lung cancer (NSCLC) have benefited from treatment with neoadjuvant ICIs combined with chemotherapy. However, the mechanisms and associations between the therapeutic efficacy of neoadjuvant pembrolizumab and chemotherapy (NAPC) and macrophage subsets are still unclear. We performed single-cell RNA sequencing (scRNA-seq) and identified a novel FABP4+C1q+ macrophage subtype, which exhibited stronger proinflammatory cytokine production and phagocytic ability. This subtype was found to be more abundant in tumor tissues and lymph nodes of major pathological response (MPR) patients compared to non-MPR patients, and was associated with a good efficacy of NAPC. Multiplex fluorescent immunohistochemical (mIHC) staining was subsequently used to verify our findings. Further mechanistic studies indicated that FABP4 and C1q regulate the expression of proinflammatory cytokines synergistically. In addition, FABP4 and C1q promote fatty acid synthesis, enhance anti-apoptosis ability and phagocytic ability of macrophage via the interaction of AMPK/JAK/STAT axis. This study provides novel insights into the underlying mechanisms and predictive biomarkers of NAPC. Our findings contribute to improving the prognosis of patients with NSCLC by potentially guiding more precise patient selection and treatment strategies. NOVELTY & IMPACT STATEMENTS: We identified a group of macrophages (FABP4+C1q+ macrophages) related to the therapeutic efficacy of neoadjuvant chemoimmunotherapy. FABP4+C1q+ macrophages highly expressed proinflammatory cytokines-related genes and had a strong cytokine production and phagocytic ability. We believe that our study provides a novel insight into the synergistic mechanism of neoadjuvant ICI combined with chemotherapy and may lead to improved clinical outcomes in patients with NSCLC in the future.
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Affiliation(s)
- Dong Zhang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Min Wang
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Gen Liu
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Xin Li
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Wenwen Yu
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Zhenzhen Hui
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
- Department of Biotherapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Xiubao Ren
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
- Tianjin's Clinical Research Center for Cancer, Tianjin, China.
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China.
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
- Department of Biotherapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
| | - Qian Sun
- Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.
- Tianjin's Clinical Research Center for Cancer, Tianjin, China.
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China.
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
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Li A, Wang H, Zhang L, Zhao Q, Yang Y, Zhang Y, Yang L. A single-cell RNA-seq dataset describing macrophages in NSCLC tumor and peritumor tissues. Sci Data 2024; 11:1064. [PMID: 39353975 PMCID: PMC11445445 DOI: 10.1038/s41597-024-03885-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: 04/08/2024] [Accepted: 09/05/2024] [Indexed: 10/03/2024] Open
Abstract
Examining tumor-associated macrophages in the immune microenvironment of non-small cell lung cancer (NSCLC) is essential for gaining an understanding of the genesis and development of NSCLC as well as for identifying key clinical therapeutic targets. Although previous studies have reported the diverse phenotypes and functions of macrophages in tumor tissues, thereby highlighting their significant role in the tumor microenvironment, the characteristic differences and correlations between tumor and peritumor tissue-derived macrophages that are necessary for an understanding of NSCLC progression remain unclear. Based on single-cell RNA sequencing, we generated a comprehensive dataset of transcriptomes from NSCLC tumor and peritumor tissues, thereby facilitating comprehensive analysis and providing significant insights. In summary, our dataset will serve as a valuable transcriptomic resource for further studies investigating NSCLC development.
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Affiliation(s)
- Aitian Li
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Huishang Wang
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lei Zhang
- Thoracic Surgery Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Qitai Zhao
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yang Yang
- Thoracic Surgery Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | - Yi Zhang
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China.
| | - Li Yang
- Biotherapy Center and Cancer Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
- School of Life Sciences, Zhengzhou University, Zhengzhou, Henan, China.
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5
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Sun Z, Gao B, Song L, Wang B, Li J, Jiang H, Li X, Yu Y, Zhou Z, Yang Z, Sun X, Jiao T, Zhao X, Lu S, Jiao S. Single-cell RNA sequencing reveals intratumoral heterogeneity and multicellular community in primary hepatocellular carcinoma underlying microvascular invasion. Heliyon 2024; 10:e37233. [PMID: 39309949 PMCID: PMC11415683 DOI: 10.1016/j.heliyon.2024.e37233] [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: 04/18/2024] [Revised: 07/05/2024] [Accepted: 08/29/2024] [Indexed: 09/25/2024] Open
Abstract
Background Microvascular invasion (MVI) is associated with an unfavorable prognosis and early recurrence of hepatocellular carcinoma (HCC), which is the crucial pathological hallmark of immunotherapy. While microvascular invasion (MVI) in hepatocellular carcinoma (HCC) currently lacks a detailed single-cell analysis of the tumor microenvironment (TME), it holds significant promise for immunotherapy using immune checkpoint inhibitors (ICI). Methods We performed single-cell RNA sequencing (scRNA-seq) on 3 MVI positive (MVIP) and 14 MVI-negative (MVIN) tumor tissues, as well as their paired adjacent non-tumoral tissues. Results We identified SPP1+ macrophages and CD4+ proliferative T cells as intertumoral populations critical for the formation of cold tumors and immunosuppressive environments in MVI-positive patients and verified their prognostic value in correlation with MVIP HCC patients. Additionally, we identified SPP1+ dominated interactions between SPP1+ macrophages and the immunosuppressive T population as contributors to MVI destruction and tumorigenesis. Conclusions We provide a comprehensive single-cell atlas of HCC patients with MVI, shedding light on the immunosuppressive ecosystem and upregulated signaling associated with MVI. These findings demonstrate that intercellular mechanisms drive MVI and provide a potential immunotherapeutic target for HCC patients with HCC and underlying MVI.
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Affiliation(s)
- Zhuoya Sun
- Department of Clinical Oncology, Chinese PLA General Hospital & Medical School of Chinese PLA, Beijing, China
| | - Biao Gao
- Department of Hepatobiliary Surgery, Chinese PLA General Hospital & Medical School of Chinese PLA, Beijing, China
- Nankai University, Tianjin, China
| | - Lai Song
- Beijing DCTY Bioinformatics Technology Co., Ltd, Beijing, China
| | - Biying Wang
- Beijing DCTY Biotech Co.,Ltd, Beijing, China
| | - Junfeng Li
- Department of Hepatobiliary Surgery, Chinese PLA General Hospital & Medical School of Chinese PLA, Beijing, China
| | - Hao Jiang
- Department of Hepatobiliary Surgery, Chinese PLA General Hospital & Medical School of Chinese PLA, Beijing, China
| | - Xuerui Li
- Department of Hepatobiliary Surgery, Chinese PLA General Hospital & Medical School of Chinese PLA, Beijing, China
- Nankai University, Tianjin, China
| | - Yang Yu
- Beijing DCTY Biotech Co.,Ltd, Beijing, China
| | - Zishan Zhou
- Beijing DCTY Biotech Co.,Ltd, Beijing, China
| | - Zizhong Yang
- Department of Hepatobiliary Surgery, Chinese PLA General Hospital & Medical School of Chinese PLA, Beijing, China
- Nankai University, Tianjin, China
| | - Xiaohui Sun
- Department of Clinical Oncology, Chinese PLA General Hospital & Medical School of Chinese PLA, Beijing, China
| | - Tianyu Jiao
- Department of Hepatobiliary Surgery, Chinese PLA General Hospital & Medical School of Chinese PLA, Beijing, China
| | - Xiao Zhao
- Department of Clinical Oncology, Chinese PLA General Hospital & Medical School of Chinese PLA, Beijing, China
| | - Shichun Lu
- Department of Hepatobiliary Surgery, Chinese PLA General Hospital & Medical School of Chinese PLA, Beijing, China
| | - Shunchang Jiao
- Department of Clinical Oncology, Chinese PLA General Hospital & Medical School of Chinese PLA, Beijing, China
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Liu J, Xia W, Xue F, Xu C. Exploring a new signature for lung adenocarcinoma: analyzing cuproptosis-related genes through Integrated single-cell and bulk RNA sequencing. Discov Oncol 2024; 15:508. [PMID: 39342548 PMCID: PMC11439862 DOI: 10.1007/s12672-024-01389-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Accepted: 09/23/2024] [Indexed: 10/01/2024] Open
Abstract
OBJECTIVES Lung adenocarcinoma (LUAD) continues to pose a significant global health challenge. This research investigates cuproptosis and its association with LUAD progression. Employing various bioinformatics techniques, the study explores the heterogeneity of LUAD cells, identifies prognostic cuproptosis-related genes (CRGs), examines cell-to-cell communication networks, and assesses their functional roles. METHODS We downloaded single-cell RNA sequencing data from TISCH2 and bulk RNA sequencing data from TCGA for exploring LUAD cell heterogeneity. Subsequently, "CellChat" package was employed for intercellular communication network analysis, while weighted correlation network analysis was applied for identification of hub CRGs. Further, A cuproptosis related prognostic signature was constructed via LASSO regression, validated through survival analysis, nomogram development, and ROC curves. We assessed immune infiltration, gene mutations, and GSEA of prognostic CRGs. Finally, in vitro experiments were applied to validate CDC25C's role in LUAD. RESULTS We identified 15 clusters and nine cell type in LUAD. Malignant cells showed active communication and pathway enrichment in "oxidative phosphorylation" and "glycolysis". Meanwhile, prognostic hub CRGs including PFKP, CDC25C, F12, SIGLEC6, and NLRP7 were identified, with a robust prognostic signature. Immune infiltration, gene mutations, and functional enrichment correlated with prognostic CRGs. In vitro cell experiments have shown that CDC25C-deficient LUAD cell lines exhibited reduced activity. CONCLUSION This research reveals the heterogeneity of LUAD cells, identifies key prognostic CRGs, and maps intercellular communication networks, providing insights into LUAD pathogenesis. These findings pave the way for developing targeted therapies and precision medicine approaches.
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Affiliation(s)
- Jiangtao Liu
- General Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - Wei Xia
- General Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - Feng Xue
- General Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China.
| | - Chen Xu
- Department of Vasculocardiology, Yangzhou Friendship Hospital, Yangzhou, 225009, China.
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Zhao J, Tang K, Jiang G, Yang X, Cui M, Wan C, Ouyang Z, Zheng Y, Liu Z, Wang M, Zhao XY, Chang G. Dynamic transcriptomic and regulatory networks underpinning the transition from fetal primordial germ cells to spermatogonia in mice. Cell Prolif 2024:e13755. [PMID: 39329203 DOI: 10.1111/cpr.13755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2024] [Revised: 08/24/2024] [Accepted: 09/14/2024] [Indexed: 09/28/2024] Open
Abstract
The transition from fetal primordial germ cells (PGCs) to spermatogonia (SPG) is critical for male germ cell development; however, the detailed transcriptomic dynamics and regulation underlying this transition remain poorly understood. Here by interrogating the comprehensive transcriptome atlas dataset of mouse male germ cells and gonadal cells development, we elucidated the regulatory networks underlying this transition. Our single-cell transcriptome analysis revealed that the transition from PGCs to SPG was characterized by global hypertranscription. A total of 315 highly active regulators were identified to be potentially involved in this transition, among which a non-transcription factor (TF) regulator TAGLN2 was validated to be essential for spermatogonial stem cells (SSCs) maintenance and differentiation. Metabolism profiling analysis also revealed dynamic changes in metabolism-related gene expression during PGC to SPG transition. Furthermore, we uncovered that intricate cell-cell communication exerted potential functions in the regulation of hypertranscription in germ cells by collaborating with stage-specific active regulators. Collectively, our work extends the understanding of molecular mechanisms underlying male germ cell development, offering insights into the recapitulation of germ cell generation in vitro.
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Affiliation(s)
- Jiexiang Zhao
- The Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, Guangdong, PR China
- State Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Kang Tang
- State Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Gurong Jiang
- School of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Xinyan Yang
- State Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Manman Cui
- State Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Cong Wan
- State Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, PR China
- Maoming People's Hospital, Maoming, Guangdong, PR China
| | - Zhaoxiang Ouyang
- State Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Yi Zheng
- State Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Zhaoting Liu
- State Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Mei Wang
- The Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, Guangdong, PR China
- State Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Xiao-Yang Zhao
- The Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, Guangdong, PR China
- State Key Laboratory of Organ Failure Research, Department of Developmental Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, PR China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong, PR China
- Key Laboratory of Mental Health of the Ministry of Education, Guangdong-Hong Kong Joint Laboratory for Psychiatric Disorders
- Department of Gynecology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, PR China
| | - Gang Chang
- Department of Biochemistry and Molecular Biology, Shenzhen University Medical School, Shenzhen, Guangdong, PR China
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Wen J, Liu D, Zhu H, Shu K. Microenvironmental regulation of tumor-associated neutrophils in malignant glioma: from mechanism to therapy. J Neuroinflammation 2024; 21:226. [PMID: 39285276 PMCID: PMC11406851 DOI: 10.1186/s12974-024-03222-4] [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: 05/17/2024] [Accepted: 09/03/2024] [Indexed: 09/19/2024] Open
Abstract
Glioma is the most common primary intracranial tumor in adults, with high incidence, recurrence, and mortality rates. Tumor-associated neutrophils (TANs) are essential components of the tumor microenvironment (TME) in glioma and play a crucial role in glioma cell proliferation, invasion and proneural-mesenchymal transition. Besides the interactions between TANs and tumor cells, the multi-dimensional crosstalk between TANs and other components within TME have been reported to participate in glioma progression. More importantly, several therapies targeting TANs have been developed and relevant preclinical and clinical studies have been conducted in cancer therapy. In this review, we introduce the origin of TANs and the functions of TANs in malignant behaviors of glioma, highlighting the microenvironmental regulation of TANs. Moreover, we focus on summarizing the TANs-targeted methods in cancer therapy, aiming to provide insights into the mechanisms and therapeutic opportunities of TANs in the malignant glioma microenvironment.
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Affiliation(s)
- Jiayi Wen
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030, China
| | - Dan Liu
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hongtao Zhu
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030, China.
| | - Kai Shu
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan, 430030, China.
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Liu R, Yang G, Guo H, Chen F, Lu S, Zhu H. Roles of naïve CD4 + T cells and their differentiated subtypes in lung adenocarcinoma and underlying potential regulatory pathways. J Transl Med 2024; 22:781. [PMID: 39175022 PMCID: PMC11340134 DOI: 10.1186/s12967-024-05530-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: 04/04/2024] [Accepted: 07/23/2024] [Indexed: 08/24/2024] Open
Abstract
BACKGROUND Naïve CD4+ T cells and their differentiated counterparts play a significant regulatory role in the tumor immune microenvironment, yet their effects on lung adenocarcinoma (LUAD) are not fully understood. METHODS We utilized Mendelian randomization to assess the causal association between naïve CD4+ T cells and LUAD. Employing a modified single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm with The Cancer Genome Atlas (TCGA) database, we determined the infiltration levels of naïve CD4+ T cells and their differentiation subtypes and investigated their correlation with clinical characteristics. Potential regulatory pathways of T helper cells were identified through Mantel tests and Kyoto Encyclopedia of Genes and Genomes (KEGG) database enrichment analysis. RESULTS Mendelian randomization analysis revealed an inhibitory effect of naïve CD4+ T cells on LUAD (false discovery rate < 0.05), which was corroborated by observational experiments using TCGA database. Specifically, T helper cell type 2 demonstrated a promotive effect on LUAD in terms of overall, disease-free, and progression-free survival (p < 0.05). Moreover, regulatory T cells exhibited a protective effect on LUAD in terms of disease-specific survival (p < 0.01). Concurrently, we explored the overall impact of naïve CD4+ T cell differentiation subtypes on LUAD, revealing upregulation in pathways such as neutrophil degranulation, MAPK family signaling pathways, and platelet activation, signaling, and aggregation. CONCLUSION Naïve CD4+ T cells and their differentiated counterparts play essential regulatory roles in the tumor immune microenvironment, demonstrating bidirectionality in their effects.Thus, elucidating the mechanisms and developing novel cell differentiation-inducing agents will benefit anti-cancer therapy.
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Affiliation(s)
- Runze Liu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Guangjian Yang
- Department of Respiratory Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Hongbo Guo
- Department of Thoracic Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Feihu Chen
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Shuangqing Lu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China
| | - Hui Zhu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, Shandong, 250117, China.
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10
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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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11
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Wang Y, Sun C, Liu M, Xu P, Li Y, Zhang Y, Huang J. Dysregulated gene expression of SUMO machinery components induces the resistance to anti-PD-1 immunotherapy in lung cancer by upregulating the death of peripheral blood lymphocytes. Front Immunol 2024; 15:1424393. [PMID: 39211047 PMCID: PMC11357960 DOI: 10.3389/fimmu.2024.1424393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Accepted: 07/30/2024] [Indexed: 09/04/2024] Open
Abstract
Background The majority of patients with lung cancer exhibit drug resistance after anti-PD-1 immunotherapy, leading to shortened patient survival time. Previous studies have suggested an association between epigenetic abnormalities such as methylation and clinical response to anti-PD-1 immunotherapy, while the role of SUMOylation in resistance to anti-PD-1 antibody immunotherapy is still unclear. Methods Here, the mRNA expression of 15 SUMO machinery components in PBMC from lung cancer patients receiving anti-PD-1 immunotherapy were analyzed using real-time PCR. Base on the percentage change in mRNA levels, the relationship between the expression of SUMO machinery components and outcomes of anti-PD-1 immunotherapy, and the influencing factors of SUMOylation were evaluated. PBMC was treated with different concentrations of 2-D08 (a specific inhibitor of SUMOylation) in vitro, and analyzed the activation and the death rates of lymphocyte subsets by flow cytometry analysis. Results A predictive method, base on the gene expression of three SUMO machinery components (SUMO1, SUMO3 and UBE2I), were developed to distinguish non-responders to PD-1 inhibitors. Furthermore, the number of lymphocytes in peripheral blood significantly reduced in the dysregulated SUMOylation groups (the percentage change >100 or -50 ~ -100 groups). In vitro studies confirmed that lightly low SUMOylation level improved the activation status of T and NK lymphocytes, but extremely low SUMOylation level lead to the increased death rates of lymphocytes. Conclusion Our findings implied that dysregulated gene expression of SUMO machinery components could induce the resistance of anti-PD-1 immunotherapy in lung cancer by upregulating the death of peripheral blood lymphocytes. These data might provide effective circulating biomarkers for predicting the efficacy of anti-PD-1 immunotherapy, and uncovered a novel regulatory mechanism of resistance to anti-PD-1 immunotherapy.
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Affiliation(s)
- Ying Wang
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, China
| | - Chao Sun
- Cancer Center, The First Hospital of Jilin University, Changchun, China
| | - Mengmeng Liu
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, China
| | - Panyang Xu
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, China
| | - Yanyan Li
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, China
| | - Yongsheng Zhang
- Prenatal Diagnosis Center, Reproductive Medicine Center, The First Hospital of Jilin University, Changchun, China
| | - Jing Huang
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, China
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12
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Lv Y, Chen Y, Li X, Li S, Huang Q, Lu R, Ye J, Meng W, Chen X, Mo X. The uncertainties and certainties of gene transcription in a human tumor cell. Heliyon 2024; 10:e35529. [PMID: 39166023 PMCID: PMC11334807 DOI: 10.1016/j.heliyon.2024.e35529] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2024] [Revised: 07/25/2024] [Accepted: 07/30/2024] [Indexed: 08/22/2024] Open
Abstract
Previously we have identified that the expression number and levels of oncogenes and antioncogenes are highly positively or negatively associated with major cellular progress in a cancer cell. However, we have not defined any cellular potentials of a human tumor cell at the level of the overall gene expression. Here, we counted the overall number of expression genes and overall counts of mRNA in depth and revealed that the expression levels of mRNA were directly associated with the expression number of genes in a human tumor cell. Gene expression networks revealed steady states of tricarboxylic acid (TCA) cycle and ATP production, differentiation potentials that might be disturbed and blocked by uncertain gene expressing networks, and potential capabilities to undergo epithelial-mesenchymal transition (EMT), neurogenesis, angiogenesis, inflammatory response, immune evasion, and metastasis in a human tumor cell. Our analysis identifies unpredictable gene expression characteristics in human tumor cells. The results might profoundly influence mechanisms how a human tumor cell generates and undergoes its progresses.
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Affiliation(s)
- Yinchun Lv
- Department of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China
| | - Yulin Chen
- Department of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China
| | - Xue Li
- Department of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China
| | - Siying Li
- Department of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China
| | - Qiaorong Huang
- Department of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China
| | - Ran Lu
- Department of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China
- Department of Urology and Pelvic Surgery, West China-PUMC C.C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Junman Ye
- Department of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China
| | - Wentong Meng
- Department of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaolong Chen
- Department of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China
| | - Xianming Mo
- Department of General Surgery, Gastric Cancer Center, Laboratory of Stem Cell Biology, West China Hospital, Sichuan University, Chengdu, China
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13
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Liu X, Zhou Q, Yang Y, Chen E. Application of hydrogels in cancer immunotherapy: a bibliometric analysis. Front Immunol 2024; 15:1433050. [PMID: 39192983 PMCID: PMC11347446 DOI: 10.3389/fimmu.2024.1433050] [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: 05/15/2024] [Accepted: 07/24/2024] [Indexed: 08/29/2024] Open
Abstract
Background Cancer immunotherapy has made significant progress in recent years, with numerous studies worldwide. Immunotherapy has had a transformative impact on oncology and autoimmune diseases. In the biomedical arena, hydrogels with good properties are widely used in cancer immunotherapy. Our study used bibliometrics to analyze the changing trends in using hydrogels for cancer immunotherapy. Methods From 2013 to 2023, a systematic search was conducted in the Web of Science Core Collection database to identify reviews and articles discussing the applications of hydrogels in cancer immunotherapy. The software CiteSpace was used to visually perform the bibliometric analysis in terms of research trends, countries, institutions, authors, journals, and keywords. Individual authors' productivity was assessed with the Lotka's law. The most relevant publication sources were identified by Bradford's law. Results A total of 422 English-language publications related to hydrogels in cancer immunotherapy were collected. The number of annual publications increased rapidly after 2021 and remained constant for the past two years. China published the most articles in this field. The institution with the maximum number of published articles was the Chinese Academy of Sciences in China. Chen. Q was the most prolific author, and Liu. Z was the second most published author. In terms of journal contributions, the journal "Biomaterials" had the highest number of publications (n = 30). Biomaterials, Advanced Functional Materials and Journal of Controlled Release were the most influential journals. Keyword analysis revealed that cancer immunotherapy, drug delivery, immunogenic cell death, tumor microenvironment, injectable hydrogels, and immune checkpoint blockade were the primary research hotspots. In recent 3 years, adoptive T-cell therapy, black phosphorus, cell capture, adaptive cell therapy, tumor microenvironment, photodynamic therapy, and sustained release were the research hotspots in this field. Our study summarizes the objective of hydrogels in cancer immunotherapy in recent years, providing a reference for potential researchers in related field. Conclusion This bibliometric analysis shows the progress and trend of research on hydrogels in cancer immunotherapy. This study provides a significant avenue for future investigation into current concerns and trends in research within this field.
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Affiliation(s)
- Xiang Liu
- College of Traditional Chinese Medicine, Jiangsu College of Nursing, Huaian, Jiangsu, China
| | - Qiang Zhou
- Department of Clinical Pharmacy, Jinling Hospital, Medical school of Nanjing University, Nanjing, China
| | - Yue Yang
- College of Traditional Chinese Medicine, Jiangsu College of Nursing, Huaian, Jiangsu, China
| | - Erhua Chen
- College of Traditional Chinese Medicine, Jiangsu College of Nursing, Huaian, Jiangsu, China
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14
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Long F, Zhong W, Zhao F, Xu Y, Hu X, Jia G, Huang L, Yi K, Wang N, Si H, Wang J, Wang B, Rong Y, Yuan Y, Yuan C, Wang F. DAB2 + macrophages support FAP + fibroblasts in shaping tumor barrier and inducing poor clinical outcomes in liver cancer. Theranostics 2024; 14:4822-4843. [PMID: 39239526 PMCID: PMC11373629 DOI: 10.7150/thno.99046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Accepted: 07/31/2024] [Indexed: 09/07/2024] Open
Abstract
Background: Cancer-associated fibroblasts (CAFs) are the key components of the immune barrier in liver cancer. Therefore, gaining a deeper understanding of the heterogeneity and intercellular communication of CAFs holds utmost importance in boosting immunotherapy effectiveness and improving clinical outcomes. Methods: A comprehensive analysis by combing single-cell, bulk, and spatial transcriptome profiling with multiplexed immunofluorescence was conducted to unravel the complexities of CAFs in liver cancer. Results: Through an integrated approach involving 235 liver cancer scRNA-seq samples encompassing over 1.2 million cells, we found that CAFs were particularly increased in hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC). FAP + fibroblasts were identified as the dominant subtype of CAFs, and which were mainly involved in extracellular matrix organization and angiogenesis. These CAFs were enriched in the tumor boundary of HCC, but diffusely scattered within ICC. The DAB2 + and SPP1 + tumor-associated macrophages (TAMs) reinforce the function of FAP + CAFs through signals such as TGF-β, PDGF, and ADM. Notably, the interaction between DAB2 + TAMs and FAP + CAFs promoted the formation of immune barrier and correlated with poorer patient survival, non-response to immunotherapy in HCC. High FAP and DAB2 immunohistochemical scores predicted shorter survival and higher serum AFP concentration in a local clinical cohort of 90 HCC patients. Furthermore, this communication pattern might be applicable to other solid malignancies as well. Conclusions: The interaction between DAB2 + TAMs and FAP + CAFs appears crucial in shaping the immune barrier. Strategies aimed at disrupting this communication or inhibiting the functions of FAP + CAFs could potentially enhance immunotherapy effectiveness and improve clinical outcomes.
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Affiliation(s)
- Fei Long
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Wei Zhong
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Faming Zhao
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yaqi Xu
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xin Hu
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Gaihua Jia
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Lanxiang Huang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Kezhen Yi
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Na Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Huaqi Si
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jun Wang
- Department of Laboratory Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bicheng Wang
- Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yuan Rong
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yufeng Yuan
- Department of Hepatobiliary and Pancreatic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Chunhui Yuan
- Department of Laboratory Medicine, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Fubing Wang
- Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, China
- Center for Single-Cell Omics and Tumor Liquid Biopsy, Zhongnan Hospital of Wuhan University, Wuhan, China
- Wuhan Research Center for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, China
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15
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Chong X, Madeti Y, Cai J, Li W, Cong L, Lu J, Mo L, Liu H, He S, Yu C, Zhou Z, Wang B, Cao Y, Wang Z, Shen L, Wang Y, Zhang X. Recent developments in immunotherapy for gastrointestinal tract cancers. J Hematol Oncol 2024; 17:65. [PMID: 39123202 PMCID: PMC11316403 DOI: 10.1186/s13045-024-01578-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: 05/22/2024] [Accepted: 07/18/2024] [Indexed: 08/12/2024] Open
Abstract
The past few decades have witnessed the rise of immunotherapy for Gastrointestinal (GI) tract cancers. The role of immune checkpoint inhibitors (ICIs), particularly programmed death protein 1 (PD-1) and PD ligand-1 antibodies, has become increasingly pivotal in the treatment of advanced and perioperative GI tract cancers. Currently, anti-PD-1 plus chemotherapy is considered as first-line regimen for unselected advanced gastric/gastroesophageal junction adenocarcinoma (G/GEJC), mismatch repair deficient (dMMR)/microsatellite instability-high (MSI-H) colorectal cancer (CRC), and advanced esophageal cancer (EC). In addition, the encouraging performance of claudin18.2-redirected chimeric antigen receptor T-cell (CAR-T) therapy in later-line GI tract cancers brings new hope for cell therapy in solid tumour treatment. Nevertheless, immunotherapy for GI tumour remains yet precise, and researchers are dedicated to further maximising and optimising the efficacy. This review summarises the important research, latest progress, and future directions of immunotherapy for GI tract cancers including EC, G/GEJC, and CRC.
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Affiliation(s)
- Xiaoyi Chong
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Yelizhati Madeti
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Jieyuan Cai
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Wenfei Li
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Lin Cong
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Jialin Lu
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Liyang Mo
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Huizhen Liu
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Siyi He
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Chao Yu
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Zhiruo Zhou
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Boya Wang
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Yanshuo Cao
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Zhenghang Wang
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
| | - Lin Shen
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, Beijing, 100142, China
| | - Yakun Wang
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China.
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, Beijing, 100142, China.
| | - Xiaotian Zhang
- Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, 52 Fucheng Road, Hai-Dian District, Beijing, 100142, China.
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Gastrointestinal Oncology, Peking University Cancer Hospital and Institute, Beijing, 100142, China.
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16
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Brennan M, DeBruin D, Nwokolo C, Hunt KS, Piening A, Donlin MJ, Ferris ST, Teague RM, DiPaolo RJ, Alspach E. T-Cell Expression of CXCL13 is Associated with Immunotherapy Response in a Sex-Dependent Manner in Patients with Lung Cancer. Cancer Immunol Res 2024; 12:956-963. [PMID: 38695618 DOI: 10.1158/2326-6066.cir-23-0826] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 02/28/2024] [Accepted: 04/26/2024] [Indexed: 08/02/2024]
Abstract
Emerging evidence in preclinical models demonstrates that antitumor immunity is not equivalent between males and females. However, more investigation in patients and across a wider range of cancer types is needed to fully understand sex as a variable in tumor immune responses. We investigated differences in T-cell responses between male and female patients with lung cancer by performing sex-based analysis of single cell transcriptomic datasets. We found that the transcript encoding CXC motif chemokine ligand 13 (CXCL13), which has recently been shown to correlate with T-cell tumor specificity, is expressed at greater levels in T cells isolated from female compared with male patients. Furthermore, increased CXCL13 expression was associated with response to PD1-targeting immunotherapy in female but not male patients. These findings suggest that there are sex-based differences in T-cell function required for response to anti-PD1 therapy in lung cancer that may need to be considered during patient treatment decisions. See related Spotlight by Cruz-Hinojoza and Stromnes, p. 952.
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Affiliation(s)
- Michelle Brennan
- Department of Biochemistry, Saint Louis University School of Medicine, St. Louis, Missouri
| | - David DeBruin
- Department of Biochemistry, Saint Louis University School of Medicine, St. Louis, Missouri
| | - Chinye Nwokolo
- Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri
| | - Katey S Hunt
- Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri
| | - Alexander Piening
- Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri
| | - Maureen J Donlin
- Department of Biochemistry, Saint Louis University School of Medicine, St. Louis, Missouri
| | - Stephen T Ferris
- Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri
| | - Ryan M Teague
- Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri
| | - Richard J DiPaolo
- Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri
| | - Elise Alspach
- Department of Molecular Microbiology and Immunology, Saint Louis University School of Medicine, St. Louis, Missouri
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17
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Luo D, Wang H, Zeng Z, Chen J, Wang H. Integrated bioinformatics analysis of nucleotide metabolism based molecular subtyping and biomarkers in lung adenocarcinoma. Front Immunol 2024; 15:1430171. [PMID: 39148731 PMCID: PMC11324481 DOI: 10.3389/fimmu.2024.1430171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 07/17/2024] [Indexed: 08/17/2024] Open
Abstract
Background Lung adenocarcinoma (LUAD), a predominant subtype of non-small cell lung cancers, continues to challenge treatment outcomes due to its heterogeneity and complex tumor microenvironment (TME). Dysregulation in nucleotide metabolism has been identified as a significant factor in tumorigenesis, suggesting its potential as a therapeutic target. Methods This study analyzed LUAD samples from The Cancer Genome Atlas (TCGA) using Non-negative Matrix Factorization (NMF) clustering, Weighted Correlation Network Analysis (WGCNA), and various machine learning techniques. We investigated the role of nucleotide metabolism in relation to clinical features and immune microenvironment through large-scale data analysis and single-cell sequencing. Using in vivo and in vitro experiments such as RT-qPCR, Western Blot, immunohistochemistry, and subcutaneous tumor formation in mice, we further validated the functions of key nucleotide metabolism genes in cell lines and animals. Results Nucleotide metabolism genes classified LUAD patients into two distinct subtypes with significant prognostic differences. The 'C1' subtype associated with active nucleotide metabolism pathways showed poorer prognosis and a more aggressive tumor phenotype. Furthermore, a nucleotide metabolism-related score (NMRS) calculated from the expression of 28 key genes effectively differentiated between patient outcomes and predicted associations with oncogenic pathways and immune responses. By integrating various immune infiltration algorithms, we delineated the associations between nucleotide metabolism signature genes and the tumor microenvironment, and characterized their distribution differences at the cellular level by analyzing single-cell sequencing dataset related to immunochemotherapy. Finally, we demonstrated the differential expression of the key nucleotide metabolism gene AUNIP acts as an oncogene to promote LUAD cell proliferation and is associated with tumor immune infiltration. Conclusion The study underscores the pivotal role of nucleotide metabolism in LUAD progression and prognosis, highlighting the NMRS as a valuable biomarker for clinical outcomes and therapeutic responses. Specifically, AUNIP functions as a critical oncogene, offering a promising target for novel treatment strategies in LUAD.
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Affiliation(s)
- Dayuan Luo
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Haohui Wang
- Department of Thoracic Surgery, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhen Zeng
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Clinical Medical Research Center for Geriatric Syndrome, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Jiajing Chen
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Clinical Medical Research Center for Geriatric Syndrome, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Haiqin Wang
- Department of Geriatrics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
- Hunan Clinical Medical Research Center for Geriatric Syndrome, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
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18
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Calderon-Espinosa E, De Ridder K, Benoot T, Jansen Y, Vanhonacker D, Heestermans R, De Becker A, Van Riet I, Decoster L, Goyvaerts C. The crosstalk between lung cancer and the bone marrow niche fuels emergency myelopoiesis. Front Immunol 2024; 15:1397469. [PMID: 39148724 PMCID: PMC11324509 DOI: 10.3389/fimmu.2024.1397469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 07/15/2024] [Indexed: 08/17/2024] Open
Abstract
Modest response rates to immunotherapy observed in advanced lung cancer patients underscore the need to identify reliable biomarkers and targets, enhancing both treatment decision-making and efficacy. Factors such as PD-L1 expression, tumor mutation burden, and a 'hot' tumor microenvironment with heightened effector T cell infiltration have consistently been associated with positive responses. In contrast, the predictive role of the abundantly present tumor-infiltrating myeloid cell (TIMs) fraction remains somewhat uncertain, partly explained by their towering variety in terms of ontogeny, phenotype, location, and function. Nevertheless, numerous preclinical and clinical studies established a clear link between lung cancer progression and alterations in intra- and extramedullary hematopoiesis, leading to emergency myelopoiesis at the expense of megakaryocyte/erythroid and lymphoid differentiation. These observations affirm that a continuous crosstalk between solid cancers such as lung cancer and the bone marrow niche (BMN) must take place. However, the BMN, encompassing hematopoietic stem and progenitor cells, differentiated immune and stromal cells, remains inadequately explored in solid cancer patients. Subsequently, no clear consensus has been reached on the exact breadth of tumor installed hematopoiesis perturbing cues nor their predictive power for immunotherapy. As the current era of single-cell omics is reshaping our understanding of the hematopoietic process and the subcluster landscape of lung TIMs, we aim to present an updated overview of the hierarchical differentiation process of TIMs within the BMN of solid cancer bearing subjects. Our comprehensive overview underscores that lung cancer should be regarded as a systemic disease in which the cues governing the lung tumor-BMN crosstalk might bolster the definition of new biomarkers and druggable targets, potentially mitigating the high attrition rate of leading immunotherapies for NSCLC.
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Affiliation(s)
- Evelyn Calderon-Espinosa
- Laboratory for Molecular and Cellular Therapy (LMCT), Translational Oncology Research Center (TORC), Department of Biomedical Sciences, Vrije Universiteit Brussel, Brussels, Belgium
- Laboratory for Molecular Imaging and Therapy (MITH), Vrije Universiteit Brussel, Brussels, Belgium
- Department of Chemistry, University of Warwick, Warwick, United Kingdom
| | - Kirsten De Ridder
- Laboratory for Molecular and Cellular Therapy (LMCT), Translational Oncology Research Center (TORC), Department of Biomedical Sciences, Vrije Universiteit Brussel, Brussels, Belgium
- Laboratory for Molecular Imaging and Therapy (MITH), Vrije Universiteit Brussel, Brussels, Belgium
| | - Thomas Benoot
- Laboratory for Molecular and Cellular Therapy (LMCT), Translational Oncology Research Center (TORC), Department of Biomedical Sciences, Vrije Universiteit Brussel, Brussels, Belgium
- Laboratory for Molecular Imaging and Therapy (MITH), Vrije Universiteit Brussel, Brussels, Belgium
| | - Yanina Jansen
- Department of Thoracic Surgery, University Hospitals Leuven, Leuven, Belgium
| | - Domien Vanhonacker
- Department of Anesthesiology, Perioperative and Pain Medicine, Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Robbe Heestermans
- Department of Hematology, Team Hematology and Immunology (HEIM), Translational Oncology Research Center (TORC), Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Ann De Becker
- Department of Hematology, Team Hematology and Immunology (HEIM), Translational Oncology Research Center (TORC), Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Ivan Van Riet
- Department of Hematology, Team Hematology and Immunology (HEIM), Translational Oncology Research Center (TORC), Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Lore Decoster
- Department of Medical Oncology, Team Laboratory for Medical and Molecular Oncology (LMMO), Translational Oncology Research Center (TORC), Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Brussels, Belgium
| | - Cleo Goyvaerts
- Laboratory for Molecular and Cellular Therapy (LMCT), Translational Oncology Research Center (TORC), Department of Biomedical Sciences, Vrije Universiteit Brussel, Brussels, Belgium
- Laboratory for Molecular Imaging and Therapy (MITH), Vrije Universiteit Brussel, Brussels, Belgium
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19
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Chen S, Deng B, Zhao F, You H, Liu Y, Xie L, Song G, Zhou Z, Huang G, Shen W. Silencing SPP1 in M2 macrophages inhibits the progression of castration-resistant prostate cancer via the MMP9/TGFβ1 axis. Transl Androl Urol 2024; 13:1239-1255. [PMID: 39100821 PMCID: PMC11291415 DOI: 10.21037/tau-24-127] [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: 03/10/2024] [Accepted: 04/30/2024] [Indexed: 08/06/2024] Open
Abstract
Background M2 macrophages can promote the progression of castration-resistant prostate cancer (CRPC), but the specific mechanism is still unclear. Therefore, we are preliminarily exploring the molecular mechanism by which M2 macrophages regulate the progression of CRPC. Methods The genes positively correlated with CRPC and with the most significant differences in the GEO32269 dataset were obtained. Database and immunofluorescence experiments were used to validate the localization of secreted phosphoprotein 1 (SPP1) in localized prostate cancer (PCa), hormone-sensitive prostate cancer (HSPC), and CRPC tumor tissues. The function of SPP1 in M2 macrophages was verified through cell scratch, Transwell, and an orthotopic PCa model. PCa database and Western blot were used to verify the relationship between SPP1 and matrix metallopeptidase 9 (MMP9), as well as the ability of MMP9 in M2 macrophages to promote epithelial-mesenchymal transition (EMT) in PCa cells. Results The primary localization of SPP1 in prostate and CRPC tissues is in macrophages. Silencing SPP1 expression in M2 macrophages promotes their polarization towards the M1 phenotype and significantly inhibits the malignant progression of PCa in vitro and in vivo. SPP1 promotes the expression of MMP9 through the PI3K/AKT signaling pathway in M2 macrophages. Furthermore, MMP9 enhances the EMT and migratory capabilities of PC3 cells by activating the TGFβ signaling pathway. Conclusions We have found that the high expression of SPP1 in M2 macrophages promotes the progression of CRPC through cell-cell interactions. These findings can contribute to the development of novel therapeutic approaches for combating this deadly disease.
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Affiliation(s)
- Saipeng Chen
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Bingqian Deng
- Department of Biochemistry and Molecular Biology, College of Basic Medical Science, Army Medical University (Third Military Medical University), Chongqing, China
| | - Fuhan Zhao
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Hang You
- Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Institute for Viral Hepatitis, Department of Infectious Diseases, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Youxin Liu
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Langlang Xie
- Department of Biochemistry and Molecular Biology, College of Basic Medical Science, Army Medical University (Third Military Medical University), Chongqing, China
| | - Guojing Song
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhansong Zhou
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Gang Huang
- Department of Biochemistry and Molecular Biology, College of Basic Medical Science, Army Medical University (Third Military Medical University), Chongqing, China
| | - Wenhao Shen
- Department of Urology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
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20
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Xie M, Lin X, Bao X, Liang Y, Deng H, Song J, Ma X, Zhang X, Yao J, Pan L, Xue X. Tertiary Lymphoid Structure in Tumor Microenvironment and Immunotherapy of Lung Cancer. Arch Bronconeumol 2024:S0300-2896(24)00285-0. [PMID: 39174437 DOI: 10.1016/j.arbres.2024.07.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Revised: 07/02/2024] [Accepted: 07/17/2024] [Indexed: 08/24/2024]
Abstract
Immune checkpoint inhibitors have opened an era of lung cancer therapy. However, a notable disparity exists in the efficacy of immunotherapy among individual patients. The tertiary lymphoid structure (TLS) is an ectopic lymphocyte aggregation that appears under pathological conditions and is the primary site of action for anti-tumor immunity. It is commonly reported that the presence of TLS within the tumor microenvironment (TME) relates to a favorable clinical prognosis and an excellent response to immunotherapy in lung cancer patients. A thorough understanding of TLS and its dynamic changes in TME has become an attractive focus for optimizing immunotherapy strategies for lung cancer. In this review, we comprehensively generalize the composition, formation, mechanism, detection methods of TLS, and summarize the role of TLS in lung cancer immunotherapy. Finally, induction of TLS is also discussed, which may provide more effective therapeutic strategies for lung cancer therapy.
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Affiliation(s)
- Mei Xie
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Xuwen Lin
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Xinyu Bao
- Department of Respiratory and Critical Care, Shandong Second Medical University, School of Clinical Medicine, Shandong Second Medical University, Weifang, People's Republic of China
| | - Yiran Liang
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Hui Deng
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Jialin Song
- Department of Respiratory and Critical Care, Shandong Second Medical University, School of Clinical Medicine, Shandong Second Medical University, Weifang, People's Republic of China
| | - Xidong Ma
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Xin Zhang
- Department of Respiratory and Critical Care, Shandong Second Medical University, School of Clinical Medicine, Shandong Second Medical University, Weifang, People's Republic of China
| | - Jie Yao
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China
| | - Lei Pan
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China.
| | - Xinying Xue
- Department of Respiratory and Critical Care, Emergency and Critical Care Medical Center, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, People's Republic of China.
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21
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Wang Z, Zhao Y, Wo Y, Peng Y, Hu W, Wu Z, Liu P, Shang Y, Liu C, Chen X, Huang K, Chen Y, Hong H, Li F, Sun Y. The single cell immunogenomic landscape after neoadjuvant immunotherapy combined chemotherapy in esophageal squamous cell carcinoma. Cancer Lett 2024; 593:216951. [PMID: 38734159 DOI: 10.1016/j.canlet.2024.216951] [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: 11/18/2023] [Revised: 04/19/2024] [Accepted: 05/06/2024] [Indexed: 05/13/2024]
Abstract
Neoadjuvant immunotherapy represents promising strategy in the treatment of esophageal squamous cell carcinoma (ESCC). However, the mechanisms underlying its impact on treatment sensitivity or resistance remain a subject of controversy. In this study, we conducted single-cell RNA and T/B cell receptor (scTCR/scBCR) sequencing of CD45+ immune cells on samples from 10 patients who received neoadjuvant immunotherapy and chemotherapy. We also validated our findings using multiplexed immunofluorescence and analyzed bulk RNA-seq from other cohorts in public database. By integrating analysis of 87357 CD45+ cells, we found GZMK + effector memory T cells (Tem) were relatively enriched and CXCL13+ exhausted T cells (Tex) and regulator T cells (Treg) decreased among responders, indicating a persistent anti-tumor memory process. Additionally, the enhanced presence of BCR expansion and somatic hypermutation process within TNFRSF13B + memory B cells (Bmem) suggested their roles in antigen presentation. This was further corroborated by the evidence of the T-B co-stimulation pattern and CXCL13-CXCR5 axis. The complexity of myeloid cell heterogeneity was also particularly pronounced. The elevated expression of S100A7 in ESCC, as detected by bulk RNA-seq, was associated with an exhausted and immunosuppressive tumor microenvironment. In summary, this study has unveiled a potential regulatory network among immune cells and the clonal dynamics of their functions, and the mechanisms of exhaustion and memory conversion between GZMK + Tem and TNFRSF13B + Bmem from antigen presentation and co-stimulation perspectives during neoadjuvant PD-1 blockade treatment in ESCC.
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MESH Headings
- Humans
- Neoadjuvant Therapy/methods
- Esophageal Squamous Cell Carcinoma/immunology
- Esophageal Squamous Cell Carcinoma/genetics
- Esophageal Squamous Cell Carcinoma/therapy
- Esophageal Squamous Cell Carcinoma/drug therapy
- Esophageal Squamous Cell Carcinoma/pathology
- Esophageal Neoplasms/immunology
- Esophageal Neoplasms/genetics
- Esophageal Neoplasms/therapy
- Esophageal Neoplasms/drug therapy
- Esophageal Neoplasms/pathology
- Immunotherapy/methods
- Single-Cell Analysis/methods
- Female
- Male
- Tumor Microenvironment/immunology
- Antineoplastic Combined Chemotherapy Protocols/therapeutic use
- Antineoplastic Combined Chemotherapy Protocols/pharmacology
- Chemokine CXCL13/genetics
- Chemokine CXCL13/metabolism
- Middle Aged
- Aged
- Memory T Cells/immunology
- Memory T Cells/metabolism
- Leukocyte Common Antigens/metabolism
- Leukocyte Common Antigens/genetics
- T-Lymphocytes, Regulatory/immunology
- T-Lymphocytes, Regulatory/drug effects
- Receptors, Antigen, B-Cell/genetics
- Receptors, Antigen, B-Cell/metabolism
- Receptors, Antigen, B-Cell/immunology
- Receptors, CXCR5/metabolism
- Receptors, CXCR5/genetics
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Affiliation(s)
- Zheyi Wang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yue Zhao
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yang Wo
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yizhou Peng
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Weilei Hu
- School of Life Science, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China; State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Zhigang Wu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Pengcheng Liu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yan Shang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chunnan Liu
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xiao Chen
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Kan Huang
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yuting Chen
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hui Hong
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Fei Li
- Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
| | - Yihua Sun
- Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China; Institute of Thoracic Oncology, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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22
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Sun X, Teng X, Liu C, Tian W, Cheng J, Hao S, Jin Y, Hong L, Zheng Y, Dai X, Wu L, Liu L, Teng X, Shi Y, Zhao P, Fang W, Shi Y, Bao X. A Pathologically Friendly Strategy for Determining the Organ-specific Spatial Tumor Microenvironment Topology in Lung Adenocarcinoma Through the Integration of snRandom-seq and Imaging Mass Cytometry. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2308892. [PMID: 38682485 PMCID: PMC11234426 DOI: 10.1002/advs.202308892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 03/24/2024] [Indexed: 05/01/2024]
Abstract
Heterogeneous organ-specific responses to immunotherapy exist in lung cancer. Dissecting tumor microenvironment (TME) can provide new insights into the mechanisms of divergent responses, the process of which remains poor, partly due to the challenges associated with single-cell profiling using formalin-fixed paraffin-embedded (FFPE) materials. In this study, single-cell nuclei RNA sequencing and imaging mass cytometry (IMC) are used to dissect organ-specific cellular and spatial TME based on FFPE samples from paired primary lung adenocarcinoma (LUAD) and metastases. Single-cell analyses of 84 294 cells from sequencing and 250 600 cells from IMC reveal divergent organ-specific immune niches. For sites of LUAD responding well to immunotherapy, including primary LUAD and adrenal gland metastases, a significant enrichment of B, plasma, and T cells is detected. Spatially resolved maps reveal cellular neighborhoods recapitulating functional units of the tumor ecosystem and the spatial proximity of B and CD4+ T cells at immunogenic sites. Various organ-specific densities of tertiary lymphoid structures are observed. Immunosuppressive sites, including brain and liver metastases, are deposited with collagen I, and T cells at these sites highly express TIM-3. This study originally deciphers the single-cell landscape of the organ-specific TME at both cellular and spatial levels for LUAD, indicating the necessity for organ-specific treatment approaches.
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Affiliation(s)
- Xuqi Sun
- Department of Medical OncologyThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Xiao Teng
- Department of Thoracic SurgeryThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Chuan Liu
- Department of Medical OncologyThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Weihong Tian
- Changzhou Third People's HospitalChangzhou Medical CenterNanjing Medical University140 Hanzhong Rd, GulouNanjingJiangsu210029China
| | - Jinlin Cheng
- State Key Laboratory for Diagnosis and Treatment of Infectious DiseasesThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Shuqiang Hao
- Department of Medical OncologyThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Yuzhi Jin
- Department of Medical OncologyThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Libing Hong
- Department of Medical OncologyThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Yongqiang Zheng
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineSun Yat‐sen University Cancer CenterGuangzhou510060China
| | - Xiaomeng Dai
- Department of Medical OncologyThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Linying Wu
- Department of Respiratory DiseaseThe First Affiliated HospitalCollege of MedicineZhejiang UniversityHangzhou310003China
| | - Lulu Liu
- Department of Medical OncologyThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Xiaodong Teng
- Department of PathologyThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Yi Shi
- Bio‐X InstitutesKey Laboratory for the Genetics of Developmental and Neuropsychiatric DisordersShanghai Jiao Tong University1954 Huashan RoadShanghai200030China
| | - Peng Zhao
- Department of Medical OncologyThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Weijia Fang
- Department of Medical OncologyThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Yu Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious DiseasesThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
| | - Xuanwen Bao
- Department of Medical OncologyThe First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China
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23
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Jiang Y, Hammad B, Huang H, Zhang C, Xiao B, Liu L, Liu Q, Liang H, Zhao Z, Gao Y. Bioinformatics analysis of an immunotherapy responsiveness-related gene signature in predicting lung adenocarcinoma prognosis. Transl Lung Cancer Res 2024; 13:1277-1295. [PMID: 38973963 PMCID: PMC11225057 DOI: 10.21037/tlcr-24-309] [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: 04/08/2024] [Accepted: 05/17/2024] [Indexed: 07/09/2024]
Abstract
Background Immune therapy has become first-line treatment option for patients with lung cancer, but some patients respond poorly to immune therapy, especially among patients with lung adenocarcinoma (LUAD). Novel tools are needed to screen potential responders to immune therapy in LUAD patients, to better predict the prognosis and guide clinical decision-making. Although many efforts have been made to predict the responsiveness of LUAD patients, the results were limited. During the era of immunotherapy, this study attempts to construct a novel prognostic model for LUAD by utilizing differentially expressed genes (DEGs) among patients with differential immune therapy responses. Methods Transcriptome data of 598 patients with LUAD were downloaded from The Cancer Genome Atlas (TCGA) database, which included 539 tumor samples and 59 normal control samples, with a mean follow-up time of 29.69 months (63.1% of patients remained alive by the end of follow-up). Other data sources including three datasets from the Gene Expression Omnibus (GEO) database were analyzed, and the DEGs between immunotherapy responders and nonresponders were identified and screened. Univariate Cox regression analysis was applied with the TCGA cohort as the training set and GSE72094 cohort as the validation set, and least absolute shrinkage and selection operator (LASSO) Cox regression were applied in the prognostic-related genes which fulfilled the filter criteria to establish a prognostic formula, which was then tested with time-dependent receiver operating characteristic (ROC) analysis. Enriched pathways of the prognostic-related genes were analyzed with Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and tumor immune microenvironment (TIME), tumor mutational burden, and drug sensitivity tests were completed with appropriate packages in R (The R Foundation of Statistical Computing). Finally, a nomogram incorporating the prognostic formula was established. Results A total of 1,636 DEGs were identified, 1,163 prognostic-related DEGs were extracted, and 34 DEGs were selected and incorporated into the immunotherapy responsiveness-related risk score (IRRS) formula. The IRRS formula had good performance in predicting the overall prognoses in patients with LUAD and had excellent performance in prognosis prediction in all LUAD subgroups. Moreover, the IRRS formula could predict anticancer drug sensitivity and immunotherapy responsiveness in patients with LUAD. Mechanistically, immune microenvironments varied profoundly between the two IRRS groups; the most significantly varied pathway between the high-IRRS and low-IRRS groups was ribonucleoprotein complex biogenesis, which correlated closely with the TP53 and TTN mutation burdens. In addition, we established a nomogram incorporating the IRRS, age, sex, clinical stage, T-stage, N-stage, and M-stage as predictors that could predict the prognoses of 1-year, 3-year, and 5-year survival in patients with LUAD, with an area under curve (AUC) of 0.718, 0.702, and 0.68, respectively. Conclusions The model we established in the present study could predict the prognosis of LUAD patients, help to identify patients with good responses to anticancer drugs and immunotherapy, and serve as a valuable tool to guide clinical decision-making.
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Affiliation(s)
- Yupeng Jiang
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Bacha Hammad
- Department of Emergency Medicine, The Second Xiangya Hospital, Central South University, Emergency and Difficult Diseases Institute of Central South University, Changsha, China
| | - Hong Huang
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
- Guilin Medical University, Guilin, China
| | - Chenzi Zhang
- Department of Hematology, Xiangya Hospital, Central South University, Changsha, China
| | - Bing Xiao
- Department of Emergency Medicine, The Second Xiangya Hospital, Central South University, Emergency and Difficult Diseases Institute of Central South University, Changsha, China
- Department of Respiratory and Critical Care Medicine, Guilin Hospital of the Second Xiangya Hospital, Central South University, Guilin, China
| | - Linxia Liu
- Department of Respiratory and Critical Care Medicine, Guilin Hospital of the Second Xiangya Hospital, Central South University, Guilin, China
| | - Qimi Liu
- Department of Respiratory and Critical Care Medicine, Guilin Hospital of the Second Xiangya Hospital, Central South University, Guilin, China
| | - Hengxing Liang
- Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, China
- Department of Thoracic Surgery, Guilin Hospital of the Second Xiangya Hospital, Central South University, Guilin, China
| | - Zhenyu Zhao
- Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yawen Gao
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
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24
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WANG Y, LUO B, WANG Z, QUE Z, JIANG L, TIAN J. [Advancements in Single-cell RNA Sequencing Technology
in the Study of the Tumor Microenvironment in Lung Cancer]. ZHONGGUO FEI AI ZA ZHI = CHINESE JOURNAL OF LUNG CANCER 2024; 27:441-450. [PMID: 39026495 PMCID: PMC11258646 DOI: 10.3779/j.issn.1009-3419.2024.101.15] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Indexed: 07/20/2024]
Abstract
The immune microenvironment plays a key role in the development and progression of tumors. In recent years, with the rapid advancement of high-throughput sequencing technologies, researchers have gained a deeper understanding of the composition and function of immune cells in the tumor microenvironment. However, traditional bulk sequencing technologies are limited in resolving heterogeneity at the single-cell level, constraining a comprehensive understanding of the complexity of the tumor microenvironment. The advent of single-cell RNA sequencing technology has brought new opportunities to uncover the heterogeneity of the immune microenvironment in lung cancer. Currently, T-cell-centered immunotherapy in clinical settings is prone to side effects affecting prognosis, such as immunogenic drug resistance or immune-related pneumonia, with the key factor being changes in the interactions between immune cells and tumor cells in the tumor microenvironment. Single-cell RNA sequencing technology can reveal the origins and functions of different subgroups within the tumor microenvironment from perspectives such as intercellular interactions and pseudotime analysis, thereby discovering new cell subgroups or novel biomarkers, providing new avenues for uncovering resistance to immunotherapy and monitoring therapeutic efficacy. This review comprehensively discusses the newest research techniques and advancements in single-cell RNA sequencing technology for unveiling the heterogeneity of the tumor microenvironment after lung cancer immunotherapy, offering insights for enhancing the precision and personalization of immunotherapy.
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25
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Jing ZQ, Luo ZQ, Chen SR, Sun ZJ. Heterogeneity of myeloid cells in common cancers: Single cell insights and targeting strategies. Int Immunopharmacol 2024; 134:112253. [PMID: 38735257 DOI: 10.1016/j.intimp.2024.112253] [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: 03/27/2024] [Revised: 05/02/2024] [Accepted: 05/09/2024] [Indexed: 05/14/2024]
Abstract
Tumor microenvironment (TME), is characterized by a complex and heterogenous composition involving a substantial population of immune cells. Myeloid cells comprising over half of the solid tumor mass, are undoubtedly one of the most prominent cell populations associated with tumors. Studies have unambiguously established that myeloid cells play a key role in tumor development, including immune suppression, pro-inflammation, promote tumor metastasis and angiogenesis, for example, tumor-associated macrophages promote tumor progression in a variety of common tumors, including lung cancer, through direct or indirect interactions with the TME. However, due to previous technological constraints, research on myeloid cells often tended to be conducted as studies with low throughput and limited resolution. For example, the conventional categorization of macrophages into M1-like and M2-like subsets based solely on their anti-tumor and pro-tumor roles has disregarded their continuum of states, resulting in an inadequate analysis of the high heterogeneity characterizing myeloid cells. The widespread adoption of single-cell RNA sequencing (scRNA-seq) in tumor immunology has propelled researchers into a new realm of understanding, leading to the establishment of novel subsets and targets. In this review, the origin of myeloid cells in high-incidence cancers, the functions of myeloid cell subsets examined through traditional and single-cell perspectives, as well as specific targeting strategies, are comprehensively outlined. As a result of this endeavor, we will gain a better understanding of myeloid cell heterogeneity, as well as contribute to the development of new therapeutic approaches.
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Affiliation(s)
- Zhi-Qian Jing
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan 430079, China
| | - Zhi-Qi Luo
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan 430079, China
| | - Si-Rui Chen
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan 430079, China
| | - Zhi-Jun Sun
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Frontier Science Center for Immunology and Metabolism, Taikang Center for Life and Medical Science, Wuhan University, Wuhan 430079, China.
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26
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Xia H, Zhang H, Ruan Z, Zhang H, Sun L, Chen H, Zhou Y, Zhang L, Bian D, Zhu X, Zhang J, Sun F, Yu H, Song N, Liu X, Zhu Y, Zhang H, He W, Chen J, Yang J, Chen G, Xie S, Tang D, Zhang X, Duan L, Zhao D, Li Q, Zhang P, Jiang G. Neoadjuvant camrelizumab (an anti-PD-1 antibody) plus chemotherapy or apatinib (a VEGFR-2 inhibitor) for initially unresectable stage II-III non-small-cell lung cancer: a multicentre, two-arm, phase 2 exploratory study. Signal Transduct Target Ther 2024; 9:145. [PMID: 38871690 PMCID: PMC11176298 DOI: 10.1038/s41392-024-01861-w] [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: 10/30/2023] [Revised: 04/29/2024] [Accepted: 05/10/2024] [Indexed: 06/15/2024] Open
Abstract
This multicentre, two-arm, phase 2 study aimed to explore the efficacy and safety of neoadjuvant camrelizumab plus chemotherapy or apatinib in patients with initially unresectable stage II-III non-small-cell lung cancer (NSCLC). Eligible patients regardless of PD-L1 expression received neoadjuvant camrelizumab 200 mg and platinum-doublet chemotherapy every 3 weeks (arm A) or those with PD-L1-positive tumors received neoadjuvant camrelizumab and apatinib 250 mg once daily (arm B), for 2-4 cycles, followed by surgery. The primary endpoint was major pathological response (MPR) rate. Thirty patients in arm A and 21 in arm B were enrolled. Surgery rates were 50.0% (15/30) in arm A and 42.9% (9/21) in arm B, with all patients achieving R0 resections. Of these patients, the MPR and pathological complete response rates were both 20.0% (95% CI 4.3-48.1) in arm A and were 55.6% (95% CI 21.2-86.3) and 11.1% (95% CI 0.3-48.2) in arm B, respectively. The corresponding objective response rates were 33.3% (95% CI 11.8-61.6) and 55.6% (95% CI 21.2-86.3). With a median follow-up of 22.4 months (95% CI 19.0-26.0), the median event-free survival was not reached (NR; 95% CI 13.6-NR) in arm A and 16.8 months (95% CI 8.6-NR) in arm B. Grade 3 or above treatment-related adverse events occurred in eight (26.7%) patients in arm A and three (14.3%) in arm B. Biomarker analysis showed baseline TYROBP expression was predictive of treatment response in arm B. Neoadjuvant camrelizumab plus chemotherapy or apatinib exhibits preliminary efficacy and manageable toxicity in patients with initially unresectable stage II-III NSCLC.
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Affiliation(s)
- Haoran Xia
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Han Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zheng Ruan
- Department of Thoracic Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huibiao Zhang
- Department of Thoracic Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Liangdong Sun
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hezhong Chen
- Department of Thoracic Surgery, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Yongxin Zhou
- Department of Thoracic-Cardiovascular Surgery, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Lele Zhang
- Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Dongliang Bian
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xinsheng Zhu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jing Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Fenghuan Sun
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Huansha Yu
- Experimental Animal Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Nan Song
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xiaogang Liu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yuming Zhu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Haiping Zhang
- Department of Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Wenxin He
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jian Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jie Yang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Guohan Chen
- Department of Thoracic Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Shiliang Xie
- Department of Thoracic-Cardiovascular Surgery, Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Dongfang Tang
- Department of Thoracic Surgery, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Xiaomiao Zhang
- Department of Thoracic Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liang Duan
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Deping Zhao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Qinchuan Li
- Department of Thoracic Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Peng Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Gening Jiang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
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27
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Zhao L, Pang Y, Zhou Y, Chen J, Fu H, Guo W, Xu W, Xue X, Su G, Sun L, Wu H, Zhang J, Wang Z, Lin Q, Chen X, Chen H. Antitumor efficacy and potential mechanism of FAP-targeted radioligand therapy combined with immune checkpoint blockade. Signal Transduct Target Ther 2024; 9:142. [PMID: 38825657 PMCID: PMC11144707 DOI: 10.1038/s41392-024-01853-w] [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: 10/28/2023] [Revised: 04/01/2024] [Accepted: 05/07/2024] [Indexed: 06/04/2024] Open
Abstract
Radiotherapy combined with immune checkpoint blockade holds great promise for synergistic antitumor efficacy. Targeted radionuclide therapy delivers radiation directly to tumor sites. LNC1004 is a fibroblast activation protein (FAP)-targeting radiopharmaceutical, conjugated with the albumin binder Evans Blue, which has demonstrated enhanced tumor uptake and retention in previous preclinical and clinical studies. Herein, we demonstrate that 68Ga/177Lu-labeled LNC1004 exhibits increased uptake and prolonged retention in MC38/NIH3T3-FAP and CT26/NIH3T3-FAP tumor xenografts. Radionuclide therapy with 177Lu-LNC1004 induced a transient upregulation of PD-L1 expression in tumor cells. The combination of 177Lu-LNC1004 and anti-PD-L1 immunotherapy led to complete eradication of all tumors in MC38/NIH3T3-FAP tumor-bearing mice, with mice showing 100% tumor rejection upon rechallenge. Immunohistochemistry, single-cell RNA sequencing (scRNA-seq), and TCR sequencing revealed that combination therapy reprogrammed the tumor microenvironment in mice to foster antitumor immunity by suppressing malignant progression and increasing cell-to-cell communication, CD8+ T-cell activation and expansion, M1 macrophage counts, antitumor activity of neutrophils, and T-cell receptor diversity. A preliminary clinical study demonstrated that 177Lu-LNC1004 was well-tolerated and effective in patients with refractory cancers. Further, scRNA-seq of peripheral blood mononuclear cells underscored the importance of addressing immune evasion through immune checkpoint blockade treatment. This was emphasized by the observed increase in antigen processing and presentation juxtaposed with T cell inactivation. In conclusion, our data supported the efficacy of immunotherapy combined with 177Lu-LNC1004 for cancer patients with FAP-positive tumors.
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Grants
- 82071961 National Natural Science Foundation of China (National Science Foundation of China)
- 82272037 National Natural Science Foundation of China (National Science Foundation of China)
- NUHSRO/2023/008/NUSMed/TCE/LOA National University of Singapore (NUS)
- NUHSRO/2021/034/TRP/09/Nanomedicine National University of Singapore (NUS)
- (MOH-001388-00, CG21APR1005) MOH | National Medical Research Council (NMRC)
- NRF-000352-00 National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore)
- Fujian Research and Training Grants for Young and Middle-aged Leaders in Healthcare, Key Scientific Research Program for Yong Scholars in Fujian (2021ZQNZD016), Fujian Natural Science Foundation for Distinguished Yong Scholars (2022D005)
- Key Medical and Health Projects in Xiamen (Grant number 3502Z20209002), Xiamen Key Laboratory of Radiation Oncology, Xiamen Clinical Research Center for Head and Neck Cancer, and 2021 National Clinical Key Specialty, (Oncology, Grant number 3210013)
- National Research Foundation Singapore (National Research Foundation-Prime Minister’s office, Republic of Singapore)
- Singapore Ministry of Education (MOE-000387-00)
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Affiliation(s)
- Liang Zhao
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Key Laboratory of Radiopharmaceuticals, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yizhen Pang
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Key Laboratory of Radiopharmaceuticals, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yangfan Zhou
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Key Laboratory of Radiopharmaceuticals, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Department of Radiation Oncology, Xiamen Cancer Center, Xiamen Key Laboratory of Radiation Oncology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Jianhao Chen
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Key Laboratory of Radiopharmaceuticals, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Department of Colorectal Tumor Surgery, Xiamen Cancer Center, Xiamen Key Laboratory of Radiation Oncology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Hao Fu
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Key Laboratory of Radiopharmaceuticals, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Wei Guo
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Key Laboratory of Radiopharmaceuticals, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Weizhi Xu
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Key Laboratory of Radiopharmaceuticals, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Xin Xue
- Department of Cardiothoracic Surgery, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Guoqiang Su
- Department of Colorectal Tumor Surgery, Xiamen Cancer Center, Xiamen Key Laboratory of Radiation Oncology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Long Sun
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Key Laboratory of Radiopharmaceuticals, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Hua Wu
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Key Laboratory of Radiopharmaceuticals, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Jingjing Zhang
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, Singapore
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Zhanxiang Wang
- Department of Neurosurgery and Department of Neuroscience, Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen Key Laboratory of Brain Center, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Qin Lin
- Department of Radiation Oncology, Xiamen Cancer Center, Xiamen Key Laboratory of Radiation Oncology, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
| | - Xiaoyuan Chen
- Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and College of Design and Engineering, National University of Singapore, Singapore, Singapore.
- Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore.
| | - Haojun Chen
- Department of Nuclear Medicine and Minnan PET Center, Xiamen Key Laboratory of Radiopharmaceuticals, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China.
- Xiamen Key Laboratory of Rare Earth Photoelectric Functional Materials, Xiamen Institute of Rare Earth Materials, Haixi Institute, Chinese Academy of Sciences, Xiamen, China.
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Fan J, Zhu J, Zhu H, Xu H. Potential therapeutic targets in myeloid cell therapy for overcoming chemoresistance and immune suppression in gastrointestinal tumors. Crit Rev Oncol Hematol 2024; 198:104362. [PMID: 38614267 DOI: 10.1016/j.critrevonc.2024.104362] [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: 11/18/2023] [Revised: 03/26/2024] [Accepted: 04/10/2024] [Indexed: 04/15/2024] Open
Abstract
In the tumor microenvironment (TME), myeloid cells play a pivotal role. Myeloid-derived immunosuppressive cells, including tumor-associated macrophages (TAMs) and myeloid-derived suppressor cells (MDSCs), are central components in shaping the immunosuppressive milieu of the tumor. Within the TME, a majority of TAMs assume an M2 phenotype, characterized by their pro-tumoral activity. These cells promote tumor cell growth, angiogenesis, invasion, and migration. In contrast, M1 macrophages, under appropriate activation conditions, exhibit cytotoxic capabilities against cancer cells. However, an excessive M1 response may lead to pro-tumoral inflammation. As a result, myeloid cells have emerged as crucial targets in cancer therapy. This review concentrates on gastrointestinal tumors, detailing methods for targeting macrophages to enhance tumor radiotherapy and immunotherapy sensitivity. We specifically delve into monocytes and tumor-associated macrophages' various functions, establishing an immunosuppressive microenvironment, promoting tumorigenic inflammation, and fostering neovascularization and stromal remodeling. Additionally, we examine combination therapeutic strategies.
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Affiliation(s)
- Jiawei Fan
- Department of Gastroenterology, The First Hospital of Jilin University, 1 Xinmin Street, Changchun 130021, PR China
| | - Jianshu Zhu
- Department of Spine Surgery, The First Hospital of Jilin University, 1 Xinmin Street, Changchun 130021, PR China
| | - He Zhu
- Department of Gastroenterology, The First Hospital of Jilin University, 1 Xinmin Street, Changchun 130021, PR China
| | - Hong Xu
- Department of Gastroenterology, The First Hospital of Jilin University, 1 Xinmin Street, Changchun 130021, PR China.
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29
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Zheng DD, Li YY, Yuan XY, Lu JL, Zhang MF, Fu J, Zhang CZ. Immune cell patterns before and after neoadjuvant immune checkpoint blockade combined with chemoradiotherapy in locally advanced esophageal squamous cell carcinoma. BMC Cancer 2024; 24:649. [PMID: 38802821 PMCID: PMC11129487 DOI: 10.1186/s12885-024-12406-3] [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: 01/22/2024] [Accepted: 05/21/2024] [Indexed: 05/29/2024] Open
Abstract
BACKGROUND Neoadjuvant immune checkpoint blockade (ICB) combined with chemoradiotherapy offers high pathologic complete response (pCR) rate for patients with locally advanced esophageal squamous cell carcinomas (ESCC). But the dynamic tumor immune microenvironment modulated by such neoadjuvant therapy remains unclear. PATIENTS AND METHODS A total of 41 patients with locally advanced ESCC were recruited. All patients received neoadjuvant toripalimab combined with concurrent chemoradiotherapy. Matched pre- and post-treatment tissues were obtained for fluorescent multiplex immunohistochemistry (mIHC) and IHC analyses. The densities and spatial distributions of immune cells were determined by HALO modules. The differences of immune cell patterns before and after neoadjuvant treatment were investigated. RESULTS In the pre-treatment tissues, more stromal CD3 + FoxP3 + Tregs and CD86+/CD163 + macrophages were observed in patients with residual tumor existed in the resected lymph nodes (pN1), compared with patients with pCR. The majority of macrophages were distributed in close proximity to tumor nest in pN1 patients. In the post-treatment tissues, pCR patients had less CD86 + cell infiltration, whereas higher CD86 + cell density was significantly associated with higher tumor regression grades (TRG) in non-pCR patients. When comparing the paired pre- and post-treatment samples, heterogeneous therapy-associated immune cell patterns were found. Upon to the treatment, CD3 + T lymphocytes were slightly increased in pCR patients, but markedly decreased in non-pCR patients. In contrast, a noticeable increase and a less obvious decrease of CD86 + cell infiltration were respectively depicted in non-pCR and pCR patients. Furthermore, opposite trends of the treatment-induced alterations of CD8 + and CD15 + cell infiltrations were observed between pN0 and pN1 patients. CONCLUSIONS Collectively, our data demonstrate a comprehensive picture of tumor immune landscape before and after neoadjuvant ICB combined with chemoradiotherapy in ESCC. The infiltration of CD86 + macrophage may serve as an unfavorable indicator for neoadjuvant toripalimab combined with chemoradiotherapy.
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Affiliation(s)
- Dan-Dan Zheng
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China
| | - Yu-Ying Li
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China
| | - Xiao-Yi Yuan
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China
| | - Jiang-Li Lu
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China
| | - Mei-Fang Zhang
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
| | - Jia Fu
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
| | - Chris Zhiyi Zhang
- MOE Key Laboratory of Tumor Molecular Biology and State Key Laboratory of Bioactive Molecules and Druggability Assessment, Institute of Life and Health Engineering, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
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Liu H, Sima X, Xiao B, Gulizeba H, Zhao S, Zhou T, Huang Y. Integrated analysis of single-cell and bulk RNA sequencing data reveals a myeloid cell-related regulon predicting neoadjuvant immunotherapy response across cancers. J Transl Med 2024; 22:486. [PMID: 38773508 PMCID: PMC11110189 DOI: 10.1186/s12967-024-05123-9] [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: 12/20/2023] [Accepted: 03/20/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Immunotherapy has brought about a paradigm shift in the treatment of cancer. However, the majority of patients exhibit resistance or become refractory to immunotherapy, and the underlying mechanisms remain to be explored. METHODS Sing-cell RNA sequencing (scRNA‑seq) datasets derived from 1 pretreatment and 1 posttreatment achieving pathological complete response (pCR) patient with lung adenocarcinoma (LUAD) who received neoadjuvant immunotherapy were collected, and pySCENIC was used to find the gene regulatory network (GRN) between cell types and immune checkpoint inhibitor (ICI) response. A regulon predicting ICI response was identified and validated using large‑scale pan-cancer data, including a colorectal cancer scRNA‑seq dataset, a breast cancer scRNA‑seq dataset, The Cancer Genome Atlas (TCGA) pan-cancer cohort, and 5 ICI transcriptomic cohorts. Symphony reference mapping was performed to construct the myeloid cell map. RESULTS Thirteen major cluster cell types were identified by comparing pretreatment and posttreatment patients, and the fraction of myeloid cells was higher in the posttreatment group (19.0% vs. 11.8%). A PPARG regulon (containing 23 target genes) was associated with ICI response, and its function was validated by a colorectal cancer scRNA‑seq dataset, a breast cancer scRNA‑seq dataset, TCGA pan-cancer cohort, and 5 ICI transcriptomic cohorts. Additionally, a myeloid cell map was developed, and cluster I, II, and III myeloid cells with high expression of PPARG were identified. Moreover, we constructed a website called PPARG ( https://pparg.online/PPARG/ or http://43.134.20.130:3838/PPARG/ ), which provides a powerful discovery tool and resource value for researchers. CONCLUSIONS The PPARG regulon is a predictor of ICI response. The myeloid cell map enables the identification of PPARG subclusters in public scRNA-seq datasets and provides a powerful discovery tool and resource value.
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Affiliation(s)
- Hong Liu
- Department of Medical Oncology, 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, P. R. China
| | - Xiaoxian Sima
- Department of Medical Oncology, 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, P. R. China
| | - Bijing Xiao
- Department of Medical Oncology, 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, P. R. China
| | - Haimiti Gulizeba
- Department of Medical Oncology, 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, P. R. China
| | - Shen Zhao
- Department of Medical Oncology, 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, P. R. China.
| | - Ting Zhou
- Department of Medical Oncology, 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, P. R. China.
| | - Yan Huang
- Department of Medical Oncology, 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, P. R. China.
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Liu Y, He M, Tang H, Xie T, Lin Y, Liu S, Liang J, Li F, Luo K, Yang M, Teng H, Luo X, He J, Liao S, Huang Q, Feng W, Zhan X, Wei Q. Single-cell and spatial transcriptomics reveal metastasis mechanism and microenvironment remodeling of lymph node in osteosarcoma. BMC Med 2024; 22:200. [PMID: 38755647 PMCID: PMC11100118 DOI: 10.1186/s12916-024-03319-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/23/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Osteosarcoma (OS) is the most common primary malignant bone tumor and is highly prone to metastasis. OS can metastasize to the lymph node (LN) through the lymphatics, and the metastasis of tumor cells reestablishes the immune landscape of the LN, which is conducive to the growth of tumor cells. However, the mechanism of LN metastasis of osteosarcoma and remodeling of the metastatic lymph node (MLN) microenvironment is not clear. METHODS Single-cell RNA sequencing of 18 samples from paracancerous, primary tumor, and lymph nodes was performed. Then, new signaling axes closely related to metastasis were identified using bioinformatics, in vitro experiments, and immunohistochemistry. The mechanism of remodeling of the LN microenvironment in tumor cells was investigated by integrating single-cell and spatial transcriptomics. RESULTS From 18 single-cell sequencing samples, we obtained 117,964 cells. The pseudotime analysis revealed that osteoblast(OB) cells may follow a differentiation path from paracancerous tissue (PC) → primary tumor (PT) → MLN or from PC → PT, during the process of LN metastasis. Next, in combination of bioinformatics, in vitro and in vivo experiments, and immunohistochemistry, we determined that ETS2/IBSP, a new signal axis, might promote LN metastasis. Finally, single-cell and spatial dissection uncovered that OS cells could reshape the microenvironment of LN by interacting with various cell components, such as myeloid, cancer-associated fibroblasts (CAFs), and NK/T cells. CONCLUSIONS Collectively, our research revealed a new molecular mechanism of LN metastasis and clarified how OS cells influenced the LN microenvironment, which might provide new insight for blocking LN metastasis.
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Affiliation(s)
- Yun Liu
- Department of Spine and Osteopathic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Mingwei He
- Department of Traumatic Orthopedic and Hand Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Haijun Tang
- Department of Spine and Osteopathic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Tianyu Xie
- Department of Traumatic Orthopedic and Hand Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Yunhua Lin
- Department of Traumatic Orthopedic and Hand Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Shangyu Liu
- Department of Spine and Osteopathic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Jiming Liang
- Department of Spine and Osteopathic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Feicui Li
- Department of Spine and Osteopathic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Kai Luo
- Department of Spine and Osteopathic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Mingxiu Yang
- Department of Spine and Osteopathic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Hongcai Teng
- Department of Spine and Osteopathic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Xiaoting Luo
- Department of Pharmacy, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Juliang He
- Department of Bone and Soft Tissue Tumor, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, 530021, China
| | - Shijie Liao
- Department of Traumatic Orthopedic and Hand Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Qian Huang
- Department of Traumatic Orthopedic and Hand Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.
- Guangxi Key Laboratory of Regenerative Medicine, Orthopedic Department, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China.
| | - Wenyu Feng
- Department of Bone and Joint Surgery and Sports Medicine, The Second Affiliated Hospital of Guangxi Medical University, Nanning, 530007, China.
| | - Xinli Zhan
- Department of Spine and Osteopathic Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.
| | - Qingjun Wei
- Department of Traumatic Orthopedic and Hand Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China.
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Horvath L, Puschmann C, Scheiber A, Martowicz A, Sturm G, Trajanoski Z, Wolf D, Pircher A, Salcher S. Beyond binary: bridging neutrophil diversity to new therapeutic approaches in NSCLC. Trends Cancer 2024; 10:457-474. [PMID: 38360439 DOI: 10.1016/j.trecan.2024.01.010] [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: 11/03/2023] [Revised: 01/19/2024] [Accepted: 01/23/2024] [Indexed: 02/17/2024]
Abstract
Neutrophils represent the most abundant myeloid cell subtype in the non-small-cell lung cancer (NSCLC) tumor microenvironment (TME). By anti- or protumor polarization, they impact multiple aspects of tumor biology and affect sensitivity to conventional therapies and immunotherapies. Single-cell RNA sequencing (scRNA-seq) analyses have unraveled an extensive neutrophil heterogeneity, helping our understanding of their pleiotropic role. In this review we summarize recent data and models on tumor-associated neutrophil (TAN) biology, focusing on the diversity that evolves in response to tumor-intrinsic cues. We categorize available transcriptomic profiles from different cancer entities into a defined set of neutrophil subclusters with distinct phenotypic properties, to step beyond the traditional binary N1/2 classification. Finally, we discuss potential ways to exploit these neutrophil states in the setting of anticancer therapy.
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Affiliation(s)
- Lena Horvath
- Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria
| | - Constanze Puschmann
- Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria
| | - Alexandra Scheiber
- Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria
| | - Agnieszka Martowicz
- Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria
| | - Gregor Sturm
- Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria; Boehringer Ingelheim International Pharma GmbH & Co KG, Biberach, Germany
| | - Zlatko Trajanoski
- Biocenter, Institute of Bioinformatics, Medical University of Innsbruck, Innsbruck, Austria
| | - Dominik Wolf
- Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria
| | - Andreas Pircher
- Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria
| | - Stefan Salcher
- Department of Hematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria.
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Chen Y, Yu D, Qian H, Shi Y, Tao Z. CD8 + T cell-based cancer immunotherapy. J Transl Med 2024; 22:394. [PMID: 38685033 PMCID: PMC11057112 DOI: 10.1186/s12967-024-05134-6] [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: 01/05/2024] [Accepted: 03/26/2024] [Indexed: 05/02/2024] Open
Abstract
The immune system in humans is a defense department against both exogenous and endogenous hazards, where CD8+ T cells play a crucial role in opposing pathological threats. Various immunotherapies based on CD8+ T cells have emerged in recent decades, showing their promising results in treating intractable diseases. However, in the fight against the constantly changing and evolving cancers, the formation and function of CD8+ T cells can be challenged by tumors that might train a group of accomplices to resist the T cell killing. As cancer therapy stepped into the era of immunotherapy, understanding the physiological role of CD8+ T cells, studying the machinery of tumor immune escape, and thereby formulating different therapeutic strategies become the imperative missions for clinical and translational researchers to fulfill. After brief basics of CD8+ T cell-based biology is covered, this review delineates the mechanisms of tumor immune escape and discusses different cancer immunotherapy regimens with their own advantages and setbacks, embracing challenges and perspectives in near future.
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Affiliation(s)
- Yanxia Chen
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
| | - Dingning Yu
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
- Department of Laboratory Medicine, Shaoxing People's Hospital, Shaoxing, Zhejiang, 312000, China
| | - Hui Qian
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
- Zhenjiang Key Laboratory of High Technology Research on Exosomes Foundation and Transformation Application, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
| | - Yinghong Shi
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China.
- Zhenjiang Key Laboratory of High Technology Research on Exosomes Foundation and Transformation Application, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China.
| | - Zhimin Tao
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, Department of Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China.
- Zhenjiang Key Laboratory of High Technology Research on Exosomes Foundation and Transformation Application, School of Medicine, Jiangsu University, Zhenjiang, Jiangsu, 212013, China.
- Department of Emergency Medicine, The Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, 212001, China.
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Yu Z, Zou J, Xu F. Tumor-associated macrophages affect the treatment of lung cancer. Heliyon 2024; 10:e29332. [PMID: 38623256 PMCID: PMC11016713 DOI: 10.1016/j.heliyon.2024.e29332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 04/03/2024] [Accepted: 04/05/2024] [Indexed: 04/17/2024] Open
Abstract
As one of the most common malignant tumors in the world, lung cancer has limited benefits for patients despite its diverse treatment methods due to factors such as personalized medicine targeting histological type, immune checkpoint expression, and driver gene mutations. The high mortality rate of lung cancer is partly due to the immune-suppressive which limits the effectiveness of anti-cancer drugs and induces tumor cell resistance. The currently widely recognized TAM phenotypes include the anti-tumor M1 and pro-tumor M2 phenotypes. M2 macrophages promote the formation of an immune-suppressive microenvironment and hinder immune cell infiltration, thereby inhibiting activation of the anti-tumor immune system and aiding tumor cells in resisting treatment. Analyzing the relationship between different treatment methods and macrophages in the TME can help us better understand the impact of TAMs on lung cancer and confirm the feasibility of targeted TAM therapy. Targeting TAMs to reduce the M2/M1 ratio and reverse the immune-suppressive microenvironment can improve the clinical efficacy of conventional treatment methods and potentially open up more efficient combination treatment strategies, maximizing the benefit for lung cancer patients.
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Affiliation(s)
- Zhuchen Yu
- Clinical Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, China
| | - Juntao Zou
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, China
| | - Fei Xu
- Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, China
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35
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Wei XW, Lu C, Zhang YC, Fan X, Xu CR, Chen ZH, Wang F, Yang XR, Deng JY, Yang MY, Gou Q, Mei SQ, Luo WC, Zhong RW, Zhong WZ, Yang JJ, Zhang XC, Tu HY, Wu YL, Zhou Q. Redox high phenotype mediated by KEAP1/STK11/SMARCA4/NRF2 mutations diminishes tissue-resident memory CD8+ T cells and attenuates the efficacy of immunotherapy in lung adenocarcinoma. Oncoimmunology 2024; 13:2340154. [PMID: 38601319 PMCID: PMC11005803 DOI: 10.1080/2162402x.2024.2340154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 04/03/2024] [Indexed: 04/12/2024] Open
Abstract
Metabolism reprogramming within the tumor microenvironment (TME) can have a profound impact on immune cells. Identifying the association between metabolic phenotypes and immune cells in lung adenocarcinoma (LUAD) may reveal mechanisms of resistance to immune checkpoint inhibitors (ICIs). Metabolic phenotypes were classified by expression of metabolic genes. Somatic mutations and transcriptomic features were compared across the different metabolic phenotypes. The metabolic phenotype of LUAD is predominantly determined by reductase-oxidative activity and is divided into two categories: redoxhigh LUAD and redoxlow LUAD. Genetically, redoxhigh LUAD is mainly driven by mutations in KEAP1, STK11, NRF2, or SMARCA4. These mutations are more prevalent in redoxhigh LUAD (72.5%) compared to redoxlow LUAD (17.4%), whereas EGFR mutations are more common in redoxlow LUAD (19.0% vs. 0.7%). Single-cell RNA profiling of pre-treatment and post-treatment samples from patients receiving neoadjuvant chemoimmunotherapy revealed that tissue-resident memory CD8+ T cells are responders to ICIs. However, these cells are significantly reduced in redoxhigh LUAD. The redoxhigh phenotype is primarily attributed to tumor cells and is positively associated with mTORC1 signaling. LUAD with the redoxhigh phenotype demonstrates a lower response rate (39.1% vs. 70.8%, p = 0.001), shorter progression-free survival (3.3 vs. 14.6 months, p = 0.004), and overall survival (12.1 vs. 31.2 months, p = 0.022) when treated with ICIs. The redoxhigh phenotype in LUAD is predominantly driven by mutations in KEAP1, STK11, NRF2, and SMARCA4. This phenotype diminishes the number of tissue-resident memory CD8+ T cells and attenuates the efficacy of ICIs.
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Affiliation(s)
- Xue-Wu Wei
- School of Medicine, South China University of Technology, Guangzhou, China
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Chang Lu
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yi-Chen Zhang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xue Fan
- 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
| | - Zhi-Hong Chen
- Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Fen Wang
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen-Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, China
| | - Xiao-Rong Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jia-Yi Deng
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ming-Yi Yang
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Qing Gou
- Department of Interventional Radiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Shi-Qi Mei
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wei-Chi Luo
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ri-Wei Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Wen-Zhao Zhong
- Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Jin-Ji Yang
- 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
| | - Hai-Yan Tu
- 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
| | - Qing Zhou
- School of Medicine, South China University of Technology, 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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Zhou L, Zhao T, Zhang R, Chen C, Li J. New insights into the role of macrophages in cancer immunotherapy. Front Immunol 2024; 15:1381225. [PMID: 38605951 PMCID: PMC11007015 DOI: 10.3389/fimmu.2024.1381225] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 03/18/2024] [Indexed: 04/13/2024] Open
Abstract
Macrophages are the main component of the tumor microenvironment, which are differentiated from monocytes in the blood and play an important role in cancer development. Tumor-associated macrophages (TAMs) can promote tumor growth, invasion, metastasis, and resistance to anti-programmed death receptor 1 therapy by regulating programmed cell death ligand 1 expression and interacting with other immune cells in the tumor microenvironment. However, when activated properly, macrophages can also play an anti-tumor role by enhancing the phagocytosis and cytotoxicity of tumor cells. TAM is associated with poor prognosis and drug resistance in patients treated with immunotherapy, indicating that macrophages are attractive targets for combined therapy in cancer treatment. Combination of targeting TAMs and immunotherapy overcomes the drug resistance and achieved excellent results in some cancers, which may be a promising strategy for cancer treatment in the future. Herein, we review the recent findings on the role of macrophages in tumor development, metastasis, and immunotherapy. We focus mainly on macrophage≥centered therapy, including strategies to deplete and reprogram TAMs, which represent the potential targets for improving tumor immunotherapy efficacy.
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Affiliation(s)
- Li Zhou
- Department of Pulmonary and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Research Unit of Respiratory Disease, Central South University, Changsha, Hunan, China
- Diagnosis and Treatment Center of Respiratory Disease, Central South University, Changsha, Hunan, China
- Clinical Medical Research Center for Pulmonary and Critical Care Medicine in Hunan Province, Changsha, China
| | - Tiantian Zhao
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ruzhe Zhang
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Chen Chen
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Jiwei Li
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
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He Y, Zhao Y, Akhtar ML, Li Y, E M, Nie H. Neoadjuvant therapy for non-small cell lung cancer and esophageal cancer. Am J Cancer Res 2024; 14:1258-1277. [PMID: 38590425 PMCID: PMC10998743 DOI: 10.62347/tcec1867] [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: 11/14/2023] [Accepted: 03/13/2024] [Indexed: 04/10/2024] Open
Abstract
As the major malignant tumors in the chest, non-small cell lung cancer (NSCLC) and esophageal cancer (EC) bring huge health burden to human beings worldwide. Currently, surgery is still the mainstay for comprehensive treatment for NSCLC and EC, but the prognosis is still poor as the results of cancer recurrence and distant metastasis. Neoadjuvant therapy refers to a single or combined treatment before surgery, aiming to improve the therapeutic effects of the traditional therapies. Unfortunately, the clinical outcomes and effects of neoadjuvant therapy are still controversial due to its apparent advantages and disadvantages, and different patients may respond differentially to the same scheme of neoadjuvant therapy, which makes it urgent and necessary to develop personalized scheme of neoadjuvant therapy for different individuals. Therefore, this review summarizes the novel schemes and strategies of neoadjuvant therapy, which may help to significantly improve of life quality of patients suffering from chest-related malignancies.
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Affiliation(s)
- Yunlong He
- School of Life Science and Technology, Harbin Institute of TechnologyHarbin 150008, Heilongjiang, China
- Department of Radiation Oncology, Harbin Medical University Cancer HospitalHarbin 150060, Heilongjiang, China
| | - Yaqi Zhao
- School of Life Science and Technology, Harbin Institute of TechnologyHarbin 150008, Heilongjiang, China
| | - Muhammad Luqman Akhtar
- School of Life Science and Technology, Harbin Institute of TechnologyHarbin 150008, Heilongjiang, China
| | - Yu Li
- School of Life Science and Technology, Harbin Institute of TechnologyHarbin 150008, Heilongjiang, China
| | - Mingyan E
- Department of Radiation Oncology, Harbin Medical University Cancer HospitalHarbin 150060, Heilongjiang, China
| | - Huan Nie
- School of Life Science and Technology, Harbin Institute of TechnologyHarbin 150008, Heilongjiang, China
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Elicora A, Yaprak Bayrak B, Vural C, Sezer HF, Uzun Erkal S, Metin E. Prognostic significance of T lymphocyte subgroups (CD4 and CD8) in lung cancer patients after neoadjuvant chemotherapy. J Cardiothorac Surg 2024; 19:113. [PMID: 38468248 PMCID: PMC10926577 DOI: 10.1186/s13019-024-02596-z] [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: 10/03/2023] [Accepted: 02/26/2024] [Indexed: 03/13/2024] Open
Abstract
OBJECTIVE The basis for current and future lung cancer immunotherapy depends on our knowledge of molecular mechanisms of interactions between tumor and immune system cells. Interactions that occur between different intratumoral populations of the same cells are important. In our study, we aimed to evaluate relationship between the clinical and prognostic features and T lymphocyte subgroups of patients with lung tumors after neoadjuvant treatment. METHODS A total of 72 patients were included in our study, including study group, 39 of whom received neoadjuvant chemotherapy. Clinical/radiological/pathological findings of patients and CD4/CD8 staining rates in peritumoral/intratumoral areas were recorded. RESULTS Our study revealed significantly lower intratumoral CD4 + T cell density and lower intratumoral CD4/CD8 ratio in primary tumor after neoadjuvant therapy (respectively, 0.012 and 0.016). Considering tumor types, when control-study groups were compared, inflammation was statistically significant only in adenocarcinoma subtype; intratumoral CD4/CD8 ratio was statistically significant only in squamous-cell carcinoma subtype (respectively, p = 0.0008 and p = 0.0139). When CD4 + T lymphocytes and CD8 + T lymphocytes and CD4/CD8 ratio were compared between control and study groups in low-stage patients according to clinical stages, only intratumoral CD4 + T lymphocyte values and intratumoral CD4/CD8 ratio were significant (respectively, p = 0.0291 ve p = 0.0154). CONCLUSION All cell types of innate and adaptive intratumoral immunity can affect lung cancer tissues simultaneously, and these interactions have a very complex structure. Understanding the tumor microenvironment and the different roles of associated cancer immune cells may lead to the discovery of new targets for immunological therapies and increased survival times in lung cancer.
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Affiliation(s)
- Aykut Elicora
- Department of Thoracic Surgery, Kocaeli University Faculty of Medicine, Kocaeli, Turkey
| | - Busra Yaprak Bayrak
- Department of Pathology, Kocaeli University Faculty of Medicine, Kocaeli, Turkey.
| | - Cigdem Vural
- Department of Pathology, Kocaeli University Faculty of Medicine, Kocaeli, Turkey
| | - Huseyin Fatih Sezer
- Department of Thoracic Surgery, Kocaeli University Faculty of Medicine, Kocaeli, Turkey
| | - Semra Uzun Erkal
- Department of Pathology, Kocaeli University Faculty of Medicine, Kocaeli, Turkey
| | - Elif Metin
- Department of Thoracic Surgery, Kocaeli University Faculty of Medicine, Kocaeli, Turkey
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Yang S, Wang M, Hua Y, Li J, Zheng H, Cui M, Huang N, Liu Q, Liao Q. Advanced insights on tumor-associated macrophages revealed by single-cell RNA sequencing: The intratumor heterogeneity, functional phenotypes, and cellular interactions. Cancer Lett 2024; 584:216610. [PMID: 38244910 DOI: 10.1016/j.canlet.2024.216610] [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: 11/23/2022] [Revised: 11/28/2023] [Accepted: 12/18/2023] [Indexed: 01/22/2024]
Abstract
Single-cell RNA sequencing (scRNA-seq) is an emerging technology used for cellular transcriptome analysis. The application of scRNA-seq has led to profoundly advanced oncology research, continuously optimizing novel therapeutic strategies. Intratumor heterogeneity extensively consists of all tumor components, contributing to different tumor behaviors and treatment responses. Tumor-associated macrophages (TAMs), the core immune cells linking innate and adaptive immunity, play significant roles in tumor progression and resistance to therapies. Moreover, dynamic changes occur in TAM phenotypes and functions subject to the regulation of the tumor microenvironment. The heterogeneity of TAMs corresponding to the state of the tumor microenvironment has been comprehensively recognized using scRNA-seq. Herein, we reviewed recent research and summarized variations in TAM phenotypes and functions from a developmental perspective to better understand the significance of TAMs in the tumor microenvironment.
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Affiliation(s)
- Sen Yang
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Mengyi Wang
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Yuze Hua
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Jiayi Li
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Huaijin Zheng
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Ming Cui
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Nan Huang
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China
| | - Qiaofei Liu
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China.
| | - Quan Liao
- Department of General Surgery, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science, and Peking Union Medical College, Beijing, 100730, China.
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Pong A, Mah CK, Yeo GW, Lewis NE. Computational cell-cell interaction technologies drive mechanistic and biomarker discovery in the tumor microenvironment. Curr Opin Biotechnol 2024; 85:103048. [PMID: 38142648 PMCID: PMC11168798 DOI: 10.1016/j.copbio.2023.103048] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 11/11/2023] [Accepted: 11/25/2023] [Indexed: 12/26/2023]
Abstract
Complex networks of cell-cell interactions (CCIs) within the tumor microenvironment (TME) play a crucial role in cancer persistence. These communication axes represent prime targets for therapeutic intervention, but our incomplete understanding of the cellular heterogeneity and interacting partners within the TME remains a stubborn barrier to complete drug responses. This review outlines recent advances in the study of CCIs that leverage single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) technologies that can clarify TME dynamics. We anticipate that these strategies will promote discovery of CCIs critical to the tumor-immune interface and will, by extension, expand the repertoire of druggable tumor biomarkers.
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Affiliation(s)
- Avery Pong
- Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA
| | - Clarence K Mah
- Bioinformatics and Systems Biology Graduate Program, University of California, San Diego, La Jolla, CA 92093, USA; Division of Medical Genetics, Department of Medicine, University of California San Diego, La Jolla, CA, USA; Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gene W Yeo
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
| | - Nathan E Lewis
- Departments of Pediatrics and Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
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Guo Y, Yan S, Zhang W. Translatomics to explore dynamic differences in immunocytes in the tumor microenvironment. MOLECULAR THERAPY. NUCLEIC ACIDS 2023; 34:102037. [PMID: 37808922 PMCID: PMC10551571 DOI: 10.1016/j.omtn.2023.102037] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Protein is an essential component of all living organisms and is primarily responsible for life activities; furthermore, its synthesis depends on a highly complex and accurate translation system. For proteins, the regulation at the translation level exceeds the sum of that during transcription, mRNA degradation, and protein degradation. Therefore, it is necessary to study regulation at the translation level. Imbalance in the translation process may change the cellular landscape, which not only leads to the occurrence, maintenance, progression, invasion, and metastasis of cancer but also affects the function of immune cells and changes the tumor microenvironment. Detailed analysis of transcriptional and protein atlases is needed to better understand how gene translation occurs. However, a more rigorous direct correlation between mRNA and protein levels is needed, which somewhat limits further studies. Translatomics is a technique for capturing and sequencing ribosome-related mRNAs that can effectively identify translation changes caused by ribosome stagnation and local translation abnormalities during cancer occurrence to further understand the changes in the translation landscape of cancer cells themselves and immune cells in the tumor microenvironment, which can provide new strategies and directions for tumor treatment.
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Affiliation(s)
- Yilin Guo
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, P.R. China
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, P.R. China
| | - Shiqi Yan
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, P.R. China
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, P.R. China
| | - Wenling Zhang
- Department of Laboratory Medicine, The Third Xiangya Hospital, Central South University, Changsha, Hunan 410013, P.R. China
- Department of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, Hunan 410013, P.R. China
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Shen Z, Teng M, Han L, Bian D, Zhang J, Zhu X, Qing Y, Hu S, Chen Y, Yao W, Yu H, Zhang L, Zhang P. The impact of oncogenic driver mutations on neoadjuvant immunotherapy outcomes in patients with resectable non-small cell lung cancer. Cancer Immunol Immunother 2023; 72:4235-4247. [PMID: 37932425 PMCID: PMC10992055 DOI: 10.1007/s00262-023-03560-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: 06/08/2023] [Accepted: 10/14/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND Neoadjuvant immunotherapy has been demonstrated to be effective and safe in resectable non-small cell lung cancer (NSCLC) patients. However, the presence of different oncogenic driver mutations may affect the tumor microenvironment and consequently influence the clinical benefit from immunotherapy. METHODS This retrospective study included consecutive NSCLC patients (stage IIA to IIIB) who underwent radical surgery after receiving neoadjuvant immunotherapy at a single high-volume center between December 2019 and August 2022. Pathological response and long-term outcomes were compared based on the driver oncogene status, and RNA sequencing analysis was conducted to investigate the transcriptomic characteristics before and after treatment. RESULTS Of the 167 patients included in this study, 47 had oncogenic driver mutations. KRAS driver mutations were identified in 28 patients, representing 59.6% of oncogenic driver mutations. Of these, 17 patients had a major pathological response, which was significantly higher than in the non-KRAS driver mutation group (60.7% vs. 31.6%, P = 0.049). Multivariate Cox regression analysis further revealed that the KRAS driver mutation group was an independent prognostic factor for prolonged disease-free survival (hazard ratio: 0.10, P = 0.032). The median proportion of CD8+ T cells was significantly higher in the KRAS driver mutation NSCLCs than in the non-driver mutation group (18% vs. 13%, P = 0.030). Furthermore, immune-related pathways were enriched in the KRAS driver mutation NSCLCs and activated after immunotherapy. CONCLUSION Our study suggests that NSCLC patients with KRAS driver mutations have a superior response to neoadjuvant immunotherapy, possibly due to their higher immunogenicity. The findings highlight the importance of considering oncogenic driver mutations in selecting neoadjuvant treatment strategies for NSCLC patients.
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Affiliation(s)
- Ziyun Shen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China
- Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China
| | - Meixin Teng
- Shihezi University School of Medicine, Shihezi, 832002, Xinjiang, China
| | - Lu Han
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China
| | - Dongliang Bian
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China
| | - Jing Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China
| | - Xinsheng Zhu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China
| | - Yang Qing
- Shihezi University School of Medicine, Shihezi, 832002, Xinjiang, China
| | - Shiqi Hu
- The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, China
| | - Yan Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China
| | - Wangchao Yao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China
| | - Huansha Yu
- Experimental Animal Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Lele Zhang
- Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China.
| | - Peng Zhang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China.
- Central Laboratory, Shanghai Pulmonary Hospital, Tongji University School of Medicine, No. 507 Zhengmin Road, Shanghai, 200433, China.
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Hu Q, Wang R, Zhang J, Xue Q, Ding B. Tumor-associated neutrophils upregulate PANoptosis to foster an immunosuppressive microenvironment of non-small cell lung cancer. Cancer Immunol Immunother 2023; 72:4293-4308. [PMID: 37907644 PMCID: PMC10992448 DOI: 10.1007/s00262-023-03564-7] [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: 06/13/2023] [Accepted: 10/17/2023] [Indexed: 11/02/2023]
Abstract
Tumor microenvironment (TME) cells orchestrate an immunosuppressive milieu that supports cancer cell proliferation. Tumor-associated neutrophils (TANs) have gained attention as inflammation biomarkers. However, the role of heterogeneous TAN populations in TME immune tolerance and their clinical potential remain unclear. Herein, we used public database to conduct single-cell transcriptomic analysis of 81 patients with non-small cell lung cancer (NSCLC) to elucidate TAN phenotypes linked to unfavorable clinical outcomes. We identified a pro-tumoral TAN cluster characterized by elevated HMGB1 expression, which could potentially engage with the TME through HMGB1-TIM-3 interaction. GATA2 was the transcription factor that drove HMGB1 expression in this pro-tumoral TAN subcluster. Further in vivo experiments confirmed the recruitment of HMGB1-positive TANs to the tumor lesion. Dual-luciferase reporter assays consolidated that the transcription factor GATA2 mediated HMGB1 expression by binding to its promoter region. Moreover, surgical NSCLC specimens verified the putative association between HMGB1-positive TAN and the pathological grades of primary tumors. Overall, this report revealed a pro-tumoral TAN cluster with HMGB1 overexpression that potentially dampen anti-tumoral immunity and contributed to immune evasion via the GATA2/HMGB1/TIM-3 axis. Moreover, this report suggests that this specific phenotype of TAN could serve as an indicator to clinical outcomes and immunotherapy effects for NSCLC.
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Affiliation(s)
- Qin Hu
- Department of Cardiothoracic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226000, People's Republic of China
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226000, China
| | - Runtian Wang
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210000, China
| | - Jiaxin Zhang
- Department of Cardiothoracic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226000, People's Republic of China
- Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, 226000, China
| | - Qun Xue
- Department of Cardiothoracic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226000, People's Republic of China.
| | - Bo Ding
- Department of Cardiothoracic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226000, People's Republic of China.
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Yang D, Zhou Y, Zhang Y, Su Y, Shen J, Yu B, Zhao K, Ding Y. Comprehensive analysis of scRNA-Seq and bulk RNA-Seq data reveals dynamic changes in tumor-associated neutrophils in the tumor microenvironment of hepatocellular carcinoma and leads to the establishment of a neutrophil-related prognostic model. Cancer Immunol Immunother 2023; 72:4323-4335. [PMID: 38006433 PMCID: PMC10992459 DOI: 10.1007/s00262-023-03567-4] [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: 08/24/2023] [Accepted: 10/18/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Analysis of hepatocellular carcinoma (HCC) single-cell sequencing data was conducted to explore the role of tumor-associated neutrophils in the tumor microenvironment. METHODS Analysis of single-cell sequencing data from 12 HCC tumor cores and five HCC paracancerous tissues identified cellular subpopulations and cellular marker genes. The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases were used to establish and validate prognostic models. xCELL, TIMER, QUANTISEQ, CIBERSORT, and CIBERSORT-abs analyses were performed to explore immune cell infiltration. Finally, the pattern of tumor-associated neutrophil roles in tumor microenvironmental components was explored. RESULTS A total of 271 marker genes for tumor-associated neutrophils were identified based on single-cell sequencing data. Prognostic models incorporating eight genes were established based on TCGA data. Immune cell infiltration differed between the high- and low-risk groups. The low-risk group benefited more from immunotherapy. Single-cell analysis indicated that tumor-associated neutrophils were able to influence macrophage, NK cell, and T-cell functions through the IL16, IFN-II, and SPP1 signaling pathways. CONCLUSION Tumor-associated neutrophils regulate immune functions by influencing macrophages and NK cells. Models incorporating tumor-associated neutrophil-related genes can be used to predict patient prognosis and immunotherapy responses.
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Affiliation(s)
- Dashuai Yang
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, No. 99 Zhangzhidong Road, Wuchang District, Wuhan, 430060, China
| | - Yu Zhou
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, No. 99 Zhangzhidong Road, Wuchang District, Wuhan, 430060, China
| | - Yanbing Zhang
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, No. 99 Zhangzhidong Road, Wuchang District, Wuhan, 430060, China
| | - Yang Su
- Department of Gastrointestinal Surgery, Tongji Hospital, Tongji Medical College in Huazhong University of Science and Technology, Wuhan, 430060, Hubei, China
| | - Jie Shen
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, No. 99 Zhangzhidong Road, Wuchang District, Wuhan, 430060, China
| | - Bin Yu
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, No. 99 Zhangzhidong Road, Wuchang District, Wuhan, 430060, China
| | - Kailiang Zhao
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, No. 99 Zhangzhidong Road, Wuchang District, Wuhan, 430060, China.
| | - Youming Ding
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, No. 99 Zhangzhidong Road, Wuchang District, Wuhan, 430060, China.
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Huang Q, Wang F, Hao D, Li X, Li X, Lei T, Yue J, Liu C. Deciphering tumor-infiltrating dendritic cells in the single-cell era. Exp Hematol Oncol 2023; 12:97. [PMID: 38012715 PMCID: PMC10680280 DOI: 10.1186/s40164-023-00459-2] [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: 07/10/2023] [Accepted: 11/14/2023] [Indexed: 11/29/2023] Open
Abstract
Dendritic cells (DCs) serve as a pivotal link connecting innate and adaptive immunity by processing tumor-derived antigens and activating T cells. The advent of single-cell sequencing has revolutionized the categorization of DCs, enabling a high-resolution characterization of the previously unrecognized diversity of DC populations infiltrating the intricate tumor microenvironment (TME). The application of single-cell sequencing technologies has effectively elucidated the heterogeneity of DCs present in the tumor milieu, yielding invaluable insights into their subpopulation structures and functional diversity. This review provides a comprehensive summary of the current state of knowledge regarding DC subtypes in the TME, drawing from single-cell studies conducted across various human tumors. We focused on the categorization, functions, and interactions of distinct DC subsets, emphasizing their crucial roles in orchestrating tumor-related immune responses. Additionally, we delve into the potential implications of these findings for the identification of predictive biomarkers and therapeutic targets. Enhanced insight into the intricate interplay between DCs and the TME promises to advance our comprehension of tumor immunity and, in turn, pave the way for the development of more efficacious cancer immunotherapies.
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Affiliation(s)
- Qingyu Huang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Fuhao Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Di Hao
- The Second Clinical Medical College, Anhui Medical University, Hefei, 230032, China
| | - Xinyu Li
- The Second Clinical Medical College, Anhui Medical University, Hefei, 230032, China
| | - Xiaohui Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Tianyu Lei
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430060, China
| | - Jinbo Yue
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
| | - Chao Liu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China.
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Wu L, Xia W, Hua Y, Fan K, Lu Y, Wang M, Jin Y, Zhang W, Pan S. Cellular crosstalk of macrophages and therapeutic implications in non-small cell lung cancer revealed by integrative inference of single-cell transcriptomics. Front Pharmacol 2023; 14:1295442. [PMID: 38044943 PMCID: PMC10690610 DOI: 10.3389/fphar.2023.1295442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 11/02/2023] [Indexed: 12/05/2023] Open
Abstract
Introduction: Non-small cell lung cancer (NSCLC) exhibits heterogeneity with diverse immune cell infiltration patterns that can influence tumor cell behavior and immunotherapy. A comprehensive characterization of the tumor microenvironment can guide precision medicine. Methods: Here, we generated a single-cell atlas of 398170 cells from 52 NSCLC patients, and investigated the imprinted genes and cellular crosstalk for macrophages. Subsequently, we evaluated the effect of tumor cells on macrophages and verified the expression of marker genes using co-culture experiments, flow cytometry and RT-qPCR assays. Results: Remarkable macrophage adaptability to NSCLC environment was observed, which contributed to generating tumor-associated macrophages (TAMs). We identified 5 distinct functional TAM subtypes, of which the majority were SELENOP-positive macrophages, with high levels of SLC40A1 and CCL13. The TAMs were also involved in mediating CD8+ T cell activity and form intercellular interaction with cancer cells, as indicated by receptor-ligand binding. Indirect coculture of tumor cells SPC-A1 and THP-1 monocytes, produced M2-like TAMs that highly expressed several markers of SELENOP-positive macrophages. The abundance of this type TAMs seemed to be associated with poorer overall survival rates [hazard ratio (HR) = 1.34, 95% confidence interval (CI) = 0.98-1.83, p = 0.068] based on deconvolution of TCGA-LUAD dataset. Discussion: In summary, we provided a high-resolution molecular resource of TAMs, and displayed the acquired properties in the tumor microenvironment. Dynamic crosstalk between TAMs and tumor cells via multiple ligand-receptor pairs were revealed, emphasizing its role in sustaining the pro-tumoral microenvironment and its implications for cancer therapy.
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Affiliation(s)
- Lei Wu
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
| | - Wenying Xia
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
| | - Yiting Hua
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
| | - Kun Fan
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
| | - Yanfei Lu
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
| | - Min Wang
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
| | - Yuexinzi Jin
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
| | - Wei Zhang
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
| | - Shiyang Pan
- Department of Laboratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Branch of National Clinical Research Center for Laboratory Medicine, Nanjing, China
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Ma C, Yang C, Peng A, Sun T, Ji X, Mi J, Wei L, Shen S, Feng Q. Pan-cancer spatially resolved single-cell analysis reveals the crosstalk between cancer-associated fibroblasts and tumor microenvironment. Mol Cancer 2023; 22:170. [PMID: 37833788 PMCID: PMC10571470 DOI: 10.1186/s12943-023-01876-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 10/02/2023] [Indexed: 10/15/2023] Open
Abstract
Cancer-associated fibroblasts (CAFs) are a heterogeneous cell population that plays a crucial role in remodeling the tumor microenvironment (TME). Here, through the integrated analysis of spatial and single-cell transcriptomics data across six common cancer types, we identified four distinct functional subgroups of CAFs and described their spatial distribution characteristics. Additionally, the analysis of single-cell RNA sequencing (scRNA-seq) data from three additional common cancer types and two newly generated scRNA-seq datasets of rare cancer types, namely epithelial-myoepithelial carcinoma (EMC) and mucoepidermoid carcinoma (MEC), expanded our understanding of CAF heterogeneity. Cell-cell interaction analysis conducted within the spatial context highlighted the pivotal roles of matrix CAFs (mCAFs) in tumor angiogenesis and inflammatory CAFs (iCAFs) in shaping the immunosuppressive microenvironment. In patients with breast cancer (BRCA) undergoing anti-PD-1 immunotherapy, iCAFs demonstrated heightened capacity in facilitating cancer cell proliferation, promoting epithelial-mesenchymal transition (EMT), and contributing to the establishment of an immunosuppressive microenvironment. Furthermore, a scoring system based on iCAFs showed a significant correlation with immune therapy response in melanoma patients. Lastly, we provided a web interface ( https://chenxisd.shinyapps.io/pancaf/ ) for the research community to investigate CAFs in the context of pan-cancer.
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Affiliation(s)
- Chenxi Ma
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Chengzhe Yang
- Department of Oral and Maxillofacial Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Institute of Stomatology, Shandong University, Jinan, Shandong, China
| | - Ai Peng
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Tianyong Sun
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Xiaoli Ji
- Department of Stomatology, Central Hospital Affiliated to Shandong First Medical University, No.105 Jiefang Road, Jinan, Shandong, China
| | - Jun Mi
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Li Wei
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Song Shen
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China
| | - Qiang Feng
- Department of Human Microbiome and Periodontology and Implantology and Orthodontics, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration and Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, 250012, China.
- State Key Laboratory of Microbial Technology, Shandong University, Qingdao, 266237, China.
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48
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Luo Y, Liang H. Single-cell dissection of tumor microenvironmental response and resistance to cancer therapy. Trends Genet 2023; 39:758-772. [PMID: 37658004 PMCID: PMC10529478 DOI: 10.1016/j.tig.2023.07.005] [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: 05/25/2023] [Revised: 07/13/2023] [Accepted: 07/17/2023] [Indexed: 09/03/2023]
Abstract
Cancer treatment strategies have evolved significantly over the years, with chemotherapy, targeted therapy, and immunotherapy as major pillars. Each modality leads to unique treatment outcomes by interacting with the tumor microenvironment (TME), which imposes a fundamental selective pressure on cancer progression. The advent of single-cell profiling technologies has revolutionized our understanding of the intricate and heterogeneous nature of the TME at an unprecedented resolution. This review delves into the commonalities and differential manifestations of how cancer therapies reshape the microenvironment in diverse cancer types. We highlight how groundbreaking immune checkpoint blockade (ICB) strategies alone or in combination with tumor-targeting treatments are endowed with comprehensive mechanistic insights when decoded at the single-cell level, aiming to drive forward future research directions on personalized treatments.
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Affiliation(s)
- Yikai Luo
- Graduate Program in Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - 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.
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49
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Nagl L, Horvath L, Salcher S, Wolf D, Pircher A. Characterization of the tumor microenvironment by single-cell RNA sequencing in non-small cell lung cancer treated with neo-adjuvant immunotherapy. Transl Lung Cancer Res 2023; 12:1959-1965. [PMID: 37854164 PMCID: PMC10579825 DOI: 10.21037/tlcr-23-413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Accepted: 08/07/2023] [Indexed: 10/20/2023]
Affiliation(s)
- Laurenz Nagl
- Department of Haematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria
| | - Lena Horvath
- Department of Haematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria
| | - Stefan Salcher
- Department of Haematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria
| | - Dominik Wolf
- Department of Haematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria
| | - Andreas Pircher
- Department of Haematology and Oncology, Internal Medicine V, Comprehensive Cancer Center Innsbruck (CCCI), Medical University of Innsbruck (MUI), Innsbruck, Austria
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50
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Topalian SL, Forde PM, Emens LA, Yarchoan M, Smith KN, Pardoll DM. Neoadjuvant immune checkpoint blockade: A window of opportunity to advance cancer immunotherapy. Cancer Cell 2023; 41:1551-1566. [PMID: 37595586 PMCID: PMC10548441 DOI: 10.1016/j.ccell.2023.07.011] [Citation(s) in RCA: 53] [Impact Index Per Article: 53.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 07/09/2023] [Accepted: 07/27/2023] [Indexed: 08/20/2023]
Abstract
Among new treatment approaches for patients with cancer, few have accelerated as quickly as neoadjuvant immune checkpoint blockade (ICB). Neoadjuvant cancer therapy is administered before curative-intent surgery in treatment-naïve patients. Conventional neoadjuvant chemotherapy and radiotherapy are primarily intended to reduce tumor size, improving surgical resectability. However, recent scientific evidence outlined here suggests that neoadjuvant immunotherapy can expand and transcriptionally modify tumor-specific T cell clones to enhance both intratumoral and systemic anti-tumor immunity. It further offers a unique "window of opportunity" to explore mechanisms and identify novel biomarkers of ICB response and resistance, opening possibilities for refining long-term clinical outcome predictions and developing new, more highly effective ICB combination therapies. Here, we examine advances in clinical and scientific knowledge gleaned from studies in select cancers and describe emerging key principles relevant to neoadjuvant ICB across many cancer types.
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Affiliation(s)
- Suzanne L Topalian
- Department of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Bloomberg-Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
| | - Patrick M Forde
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Bloomberg-Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | | | - Mark Yarchoan
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Bloomberg-Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Kellie N Smith
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Bloomberg-Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Drew M Pardoll
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA; Bloomberg-Kimmel Institute for Cancer Immunotherapy and Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
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