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Li G, Chen K, Dong S, Wei X, Zhou L, Wang B. Immunogenic cell death-related genes predict prognosis and response to immunotherapy in lung squamous cell carcinoma. Biotechnol Appl Biochem 2024. [PMID: 39168830 DOI: 10.1002/bab.2652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Accepted: 07/27/2024] [Indexed: 08/23/2024]
Abstract
Lung squamous cell carcinoma (LUSC) is a malignancy with limited therapeutic options. Immunogenic cell death (ICD) has the potential to enhance the efficacy of cancer therapy by triggering immune responses. We aimed to explore the potential of ICD-based classification in predicting prognosis and response to immunotherapy for LUSC. RNA-seq information and clinical data of LUSC patients were obtained from The Cancer Genome Atlas (TCGA) dataset. ICD-related gene expressions in LUSC samples were analyzed by consensus clustering. Subsequently, differentially expressed genes (DEGs) between different ICD-related subsets were analyzed. Tumor mutation burden, immune cell infiltration, and survival analyses were conducted between different ICD subsets. Finally, an ICD-related risk signature was constructed and evaluated in LUSC patients, and the immunotherapy responses based on the gene expressions were also forecasted. ICD-high and ICD-low groups were defined, and 1466 DEGs were identified between the two subtypes. These DEGs were mainly enriched in collagen-containing extracellular matrix, cytokine-cytokine receptor interaction, the PI3K-Akt signaling pathway, and neuroactive ligand-receptor interaction. Furthermore, the ICD-low group exhibited a favorable prognosis, enhanced TTN and MUC16 mutation frequencies, increased infiltrating immune cells, and downregulated immune checkpoint expressions. Furthermore, we demonstrated that an ICD-related model (based on CD4, NLRP3, NT5E, and TLR4 genes) could forecast the prognosis of LUSC, and ICD risk scores were lower in the responder group. In summary, the predicted values of ICD-related genes (CD4, NLRP3, NT5E, and TLR4) for the prognosis and response to immunotherapy in LUSC were verified in the study, which benefits immunotherapy-based interventions for LUSC patients.
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Affiliation(s)
- Guoping Li
- Department of Respiratory Medicine, Huzhou Central Hospital, Huzhou, Zhejiang, China
- Huzhou Key Laboratory of Precision Diagnosis and Treatment in Respiratory Diseases, Huzhou, Zhejiang, China
| | - Kai Chen
- Department of Respiratory Medicine, Huzhou Central Hospital, Huzhou, Zhejiang, China
- Huzhou Key Laboratory of Precision Diagnosis and Treatment in Respiratory Diseases, Huzhou, Zhejiang, China
| | - Shunli Dong
- Department of Respiratory Medicine, Huzhou Central Hospital, Huzhou, Zhejiang, China
- Huzhou Key Laboratory of Precision Diagnosis and Treatment in Respiratory Diseases, Huzhou, Zhejiang, China
| | - Xiang Wei
- Department of Respiratory Medicine, Huzhou Central Hospital, Huzhou, Zhejiang, China
- Huzhou Key Laboratory of Precision Diagnosis and Treatment in Respiratory Diseases, Huzhou, Zhejiang, China
| | - Lingyan Zhou
- Department of Respiratory Medicine, Huzhou Central Hospital, Huzhou, Zhejiang, China
- Huzhou Key Laboratory of Precision Diagnosis and Treatment in Respiratory Diseases, Huzhou, Zhejiang, China
| | - Bin Wang
- Department of Respiratory Medicine, Huzhou Central Hospital, Huzhou, Zhejiang, China
- Huzhou Key Laboratory of Precision Diagnosis and Treatment in Respiratory Diseases, Huzhou, Zhejiang, China
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Li Y, Ma P, Li J, Wu F, Guo M, Zhou E, Song S, Wang S, Zhang S, Jin Y. Dihydroartemisinin restores the immunogenicity and enhances the anticancer immunosurveillance of cisplatin by activating the PERK/eIF2α pathway. Cell Biosci 2024; 14:100. [PMID: 39090653 PMCID: PMC11295430 DOI: 10.1186/s13578-024-01254-0] [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: 11/16/2023] [Accepted: 05/24/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUND Immunosurveillance is pivotal in the effectiveness of anticancer therapies and tumor control. The ineffectiveness of cisplatin in activating the immunosurveillance is attributed to its lack of adjuvanticity resulting from its inability to stimulate endoplasmic reticulum stress. Dihydroartemisinin demonstrates the anti-tumor effects through various mechanisms, including the activation of the endoplasmic reticulum stress. This study aimed to develop a novel strategy to enhance the immunogenicity of dying tumor cells by combining cisplatin with dihydroartemisinin, thereby triggering effective anti-tumor immunosurveillance and improving the efficacy of cisplatin in clinical practice. METHODS Lewis lung carcinoma (LLC) and CT26 colon cancer cell lines and subcutaneous tumor models were used in this study. The importance of immunosurveillance was validated in both immunocompetent and immunodeficient mouse models. The ability of dihydroartemisinin and cisplatin therapy to induce immunogenic cell death and tumor growth control in vivo was validated by prophylactic tumor vaccination and therapeutic tumor models. The underlying mechanism was elucidated through the pharmaceutical or genetic intervention of the PERK/eIF2α pathway in vitro and in vivo. RESULTS Dihydroartemisinin enhanced the generation of reactive oxygen species in cisplatin-treated LLC and CT26 cancer cells. The combination treatment of dihydroartemisinin with cisplatin promoted cell death and ensured an optimal release of damage-associated molecular patterns from dying cancer cells, promoting the phagocytosis of dendritic cells. In the tumor vaccination model, we confirmed that dihydroartemisinin plus cisplatin treatment induced immunogenic cell death. Utilizing immunocompetent and immunodeficient mouse models, we further demonstrated that the combination treatment suppressed the tumor growth of CT26 colon cancer and LLC lung cancer, leading to an improved prognosis through the restoration of cytotoxic T lymphocyte responses and reinstatement of anti-cancer immunosurveillance in vivo. Mechanistically, dihydroartemisinin restored the immunogenicity of cisplatin by activating the adjuvanticity of damage-associated molecular patterns, such as calreticulin exposure, through the PERK/eIF2α pathway. Additionally, the inhibition of eIF2α phosphorylation attenuated the anti-tumor efficiency of C + D in vivo. CONCLUSIONS We highlighted that dihydroartemisinin acts as an immunogenic cell death rescuer for cisplatin, activating anticancer immunosurveillance in a PERK/eIF2α-dependent manner and offering a strategy to enhance the anti-tumor efficacy of cisplatin in clinical practice.
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Affiliation(s)
- Yumei Li
- Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China
- The Ministry of Education Key Laboratory of Biological Targeted Therapy, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Engineering Research Center for Tumor-Targeted Biochemotherapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pei Ma
- Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China
- State Key Laboratory of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jingxia Li
- Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China
- The Ministry of Education Key Laboratory of Biological Targeted Therapy, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Engineering Research Center for Tumor-Targeted Biochemotherapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Wu
- Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China
- The Ministry of Education Key Laboratory of Biological Targeted Therapy, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Engineering Research Center for Tumor-Targeted Biochemotherapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengfei Guo
- Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China
- The Ministry of Education Key Laboratory of Biological Targeted Therapy, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Engineering Research Center for Tumor-Targeted Biochemotherapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - E Zhou
- Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China
- The Ministry of Education Key Laboratory of Biological Targeted Therapy, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Engineering Research Center for Tumor-Targeted Biochemotherapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Siwei Song
- Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China
- The Ministry of Education Key Laboratory of Biological Targeted Therapy, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Engineering Research Center for Tumor-Targeted Biochemotherapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sufei Wang
- Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China
- The Ministry of Education Key Laboratory of Biological Targeted Therapy, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China
- Hubei Province Engineering Research Center for Tumor-Targeted Biochemotherapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuai Zhang
- Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China.
- The Ministry of Education Key Laboratory of Biological Targeted Therapy, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
- Hubei Province Engineering Research Center for Tumor-Targeted Biochemotherapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
| | - Yang Jin
- Department of Respiratory and Critical Care Medicine, Hubei Province Clinical Research Center for Major Respiratory Diseases, Key Laboratory of Pulmonary Diseases of National Health Commission, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, Hubei, China.
- The Ministry of Education Key Laboratory of Biological Targeted Therapy, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
- Hubei Province Engineering Research Center for Tumor-Targeted Biochemotherapy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Jin S, Chen J. Exploring the prognostic significance of immunogenic cell death-related genes as risk biomarkers in cervical cancer. Immun Inflamm Dis 2024; 12:e1260. [PMID: 38860758 PMCID: PMC11165675 DOI: 10.1002/iid3.1260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 04/11/2024] [Accepted: 04/12/2024] [Indexed: 06/12/2024] Open
Abstract
BACKGROUND Immunogenic cell death (ICD) is a process in which dying cells stimulate an immune response. It is a regulated form of cell death that can remodel the tumor microenvironment (TME) and activate the immune system, making immunotherapy more effective. This work was designed to identify prognostic gene features associated with ICD in cervical cancer (CC). METHODS Based on CC datasets and a set of ICD-related genes obtained from public databases, we first filtered out ICD-related genes unrelated to CC survival using univariate analysis. Subsequently, LASSO regression and multivariate Cox regression analysis were employed to develop prognostic feature genes based on ICD. For the construction and validation of the model, eight genes (CXCL1, IL1B, TNF, YKT6, PDIA3, ROCK1, CXCR3, and CLEC9A) were chosen. A nomogram was created to forecast the prognosis of CC individuals, and Kaplan-Meier curves were utilized to explore the survival disparities among different risk groups of CC individuals. RESULTS ssGSEA analysis was employed to investigate immune differences between two risk groups, revealing that the low-risk group exhibited elevated levels of immune cell infiltration, enhanced activation of immune function, and a higher immunophenoscore compared with the other group, which highlighted the relevance of ICD to TME. CONCLUSION We constructed a prognostic model based on genetic biomarkers of ICD for prognostic prediction of CC patients. Our model demonstrated excellent discriminative and calibration capabilities, providing a valuable tool for prognostic prediction and assessing the potential efficacy of immunotherapy in CC.
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Affiliation(s)
- Shuangmei Jin
- Department of Gynaecology and Obstetrics, Bishan Hospital of ChongqingBishan Hospital of Chongqing Medical UniversityChongqingChina
| | - Jingdong Chen
- Department of Gynaecology and Obstetrics, Bishan Hospital of ChongqingBishan Hospital of Chongqing Medical UniversityChongqingChina
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Han Y, Tian X, Zhai J, Zhang Z. Clinical application of immunogenic cell death inducers in cancer immunotherapy: turning cold tumors hot. Front Cell Dev Biol 2024; 12:1363121. [PMID: 38774648 PMCID: PMC11106383 DOI: 10.3389/fcell.2024.1363121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 04/23/2024] [Indexed: 05/24/2024] Open
Abstract
Immunotherapy has emerged as a promising cancer treatment option in recent years. In immune "hot" tumors, characterized by abundant immune cell infiltration, immunotherapy can improve patients' prognosis by activating the function of immune cells. By contrast, immune "cold" tumors are often less sensitive to immunotherapy owing to low immunogenicity of tumor cells, an immune inhibitory tumor microenvironment, and a series of immune-escape mechanisms. Immunogenic cell death (ICD) is a promising cellular process to facilitate the transformation of immune "cold" tumors to immune "hot" tumors by eliciting innate and adaptive immune responses through the release of (or exposure to) damage-related molecular patterns. Accumulating evidence suggests that various traditional therapies can induce ICD, including chemotherapy, targeted therapy, radiotherapy, and photodynamic therapy. In this review, we summarize the biological mechanisms and hallmarks of ICD and introduce some newly discovered and technologically innovative inducers that activate the immune system at the molecular level. Furthermore, we also discuss the clinical applications of combing ICD inducers with cancer immunotherapy. This review will provide valuable insights into the future development of ICD-related combination therapeutics and potential management for "cold" tumors.
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Affiliation(s)
| | | | | | - Zhenyong Zhang
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
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Zhong F, He S, Guo N, Shi L, Zhang L, Jin H, Kong G. A novel immunogenic cell death-related classification indicates the immune landscape and predicts clinical outcome and treatment response in acute myeloid leukemia. Cancer Cell Int 2024; 24:139. [PMID: 38627685 PMCID: PMC11022379 DOI: 10.1186/s12935-024-03326-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 04/12/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Immunogenic cell death (ICD) is closely related to anti-tumor therapy and regulates the tumor microenvironment (TME). This study aims to explore the molecular characteristics of ICD in acute myeloid leukemia (AML) and to analyze the value of ICD-related biomarkers in TME indication, prognosis prediction, and treatment response evaluation in AML. METHODS Single-sample gene set enrichment analysis was used to calculate the ICD score. LASSO regression was used to construct a prognostic risk score model. We also analyzed differences in clinical characteristics, immune landscape, immunotherapy response, and chemotherapy sensitivity between high-risk and low-risk patients. RESULTS This study identified two ICD-related subtypes and found significant heterogeneity in clinical prognosis, TME, and immune landscape between different ICD subtypes. Subsequently, a novel ICD-related prognostic risk score model was developed, which accurately predicted the prognosis of AML patients and was validated in nine AML cohorts. Moreover, there were significant correlations between risk scores and clinicopathological factors, somatic mutations, TME characteristics, immune cell infiltration, immunotherapy response, and chemosensitivity. We further validated the model gene expression in a clinically real-world cohort. CONCLUSIONS The novel ICD-related signatures identified and validated by us can serve as promising biomarkers for predicting clinical outcomes, chemotherapy sensitivity, and immunotherapy response in AML patients, guiding the establishment of personalized and accurate treatment strategies for AML.
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Affiliation(s)
- Fangmin Zhong
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
- Jiangxi Province Key Laboratory of Laboratory Medicine, Jiangxi Provincial Clinical Research Center for Laboratory Medicine, Department of Clinical Laboratory, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
| | - Shuyang He
- Queen Mary School of Nanchang University, Nanchang, Jiangxi, People's Republic of China
| | - Ni Guo
- Precision Medical Institute, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Luyi Shi
- Precision Medical Institute, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Linlin Zhang
- Precision Medical Institute, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Hua Jin
- Precision Medical Institute, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China
| | - Guangyao Kong
- Department of Hematology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
- National and Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
- Key Laboratory of Surgical Critical Care and Life Support, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
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Han X, Song D, Cui Y, Shi Y, Gu X. Pan-cancer analyses of immunogenic cell death-derived gene signatures: Potential biomarkers for prognosis and immunotherapy. Cancer Rep (Hoboken) 2024; 7:e2073. [PMID: 38627900 PMCID: PMC11021686 DOI: 10.1002/cnr2.2073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 03/15/2024] [Accepted: 03/30/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Immunogenic cell death (ICD) is a type of regulated cell death that is capable of initiating an adaptive immune response. Induction of ICD may be a potential treatment strategy, as it has been demonstrated to activate the tumor-specific immune response. AIMS The biomarkers of ICD and their relationships with the tumor microenvironment, clinical features, and immunotherapy response are not fully understood in a clinical context. Therefore, we conducted pan-cancer analyses of ICD gene signatures across 33 cancer types from The Cancer Genome Atlas database. METHODS AND RESULTS We identified key genes that had strong relationships with survival and the tumor microenvironment, contributing to a better understanding of the role of ICD genes in cancer therapy. In addition, we predicted therapeutic agents that target ICD genes and explored the potential mechanisms by which gemcitabine induce ICD. Moreover, we developed an ICD score based on the ICD genes and found it to be associated with patient prognosis, clinical features, tumor microenvironment, radiotherapy access, and immunotherapy response. A high ICD score was linked to the immune-hot phenotype, while a low ICD score was linked to the immune-cold phenotype. CONCLUSION We uncovered the potential of ICD gene signatures as comprehensive biomarkers for ICD in pan-cancer. Our research provides novel insights into immuno-phenotypic assessment and cancer therapeutic strategies, which could help to broaden the application of immunotherapy to benefit more patients.
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Affiliation(s)
- Xiaodan Han
- Department of Radiation OncologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Di Song
- Zhengzhou UniversityZhengzhouChina
| | - Yongliang Cui
- Department of Respiratory MedicineZhengzhou Central HospitalZhengzhouChina
| | - Yonggang Shi
- Department of Radiation OncologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
| | - Xiaobin Gu
- Department of Radiation OncologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhouChina
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Ma H, Xiong L, Zhao B, Hahan Z, Wei M, Shi H, Yang S, Ren Q. Comprehensive investigation into the influence of glycosylation on head and neck squamous cell carcinoma and development of a prognostic model for risk assessment and anticipating immunotherapy. Front Immunol 2024; 15:1364082. [PMID: 38562924 PMCID: PMC10982401 DOI: 10.3389/fimmu.2024.1364082] [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: 01/01/2024] [Accepted: 03/04/2024] [Indexed: 04/04/2024] Open
Abstract
Background It has been well established that glycosylation plays a pivotal role in initiation, progression, and therapy resistance of several cancers. However, the correlations between glycosylation and head and neck squamous cell carcinoma (HNSCC) have not been elucidated in detail. Methods The paramount genes governing glycosylation were discerned via the utilization of the Protein-Protein Interaction (PPI) network and correlation analysis, coupled with single-cell RNA sequencing (scRNA-seq) analysis. To construct risk models exhibiting heightened predictive efficacy, cox- and lasso-regression methodologies were employed, and the veracity of these models was substantiated across both internal and external datasets. Subsequently, an exploration into the distinctions within the tumor microenvironment (TME), immunotherapy responses, and enriched pathways among disparate risk cohorts ensued. Ultimately, cell experiments were conducted to validate the consequential impact of SMS in Head and Neck Squamous Cell Carcinoma (HNSCC). Results A total of 184 genes orchestrating glycosylation were delineated for subsequent scrutiny. Employing cox- and lasso-regression methodologies, we fashioned a 3-gene signature, proficient in prognosticating the outcomes for patients afflicted with HNSCC. Noteworthy observations encompassed distinctions in the Tumor Microenvironment (TME), levels of immune cell infiltration, and the presence of immune checkpoint markers among divergent risk cohorts, holding potentially consequential implications for the clinical management of HNSCC patients. Conclusion The prognosis of HNSCC can be proficiently anticipated through risk signatures based on Glycosylation-related genes (GRGs). A thorough delineation of the GRGs signature in HNSCC holds the potential to facilitate the interpretation of HNSCC's responsiveness to immunotherapy and provide innovative strategies for cancer treatment.
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Affiliation(s)
- Heng Ma
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Ludan Xiong
- Department of GCP Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Bohui Zhao
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Zhuledesi Hahan
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Minghui Wei
- Department of Head and Neck Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China
| | - Hengmei Shi
- Department of Obstetrics and Gynecology, Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
| | - Susu Yang
- Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qianhe Ren
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Liu Z, Huang Y, Zhang P, Yang C, Wang Y, Yu Y, Xiang H. Establishment of an immunogenic cell death-related model for prognostic prediction and identification of therapeutic targets in endometrial carcinoma. Aging (Albany NY) 2024; 16:4920-4942. [PMID: 38461430 PMCID: PMC10968672 DOI: 10.18632/aging.205647] [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: 08/21/2023] [Accepted: 02/02/2024] [Indexed: 03/12/2024]
Abstract
OBJECTIVE Studies have firmly established the pivotal role of the immunogenic cell death (ICD) in the development of tumors. This study seeks to develop a risk model related to ICD to predict the prognosis of patients with endometrial carcinoma (EC). MATERIALS AND METHODS RNA-seq data of EC retrieved from TCGA database were analyzed using R software. We determined clusters based on ICD-related genes (ICDRGs) expression levels. Cox and LASSO analyses were further used to build the prediction model, and its accuracy was evaluated in the train and validation sets. Finally, in vitro and in vivo experiments were conducted to confirm the impact of the high-risk gene IFNA2 on EC. RESULTS Patients were sorted into two ICD clusters, with survival analysis revealing divergent prognoses between the clusters. The Cox regression analysis identified prognostic risk genes, and the LASSO analysis constructed a model based on 9 of these genes. Notably, this model displayed excellent predictive accuracy when validated. Finally, increased IFNA2 levels led to decreased vitality, proliferation, and invasiveness in vitro. IFNA2 also has significant tumor inhibiting effect in vivo. CONCLUSIONS The ICD-related model can accurately predict the prognosis of patients with EC, and IFNA2 may be a potential treatment target.
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Affiliation(s)
- Zhenran Liu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei 230032, Anhui, China
| | - Yue Huang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei 230032, Anhui, China
| | - Pin Zhang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei 230032, Anhui, China
| | - Chen Yang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei 230032, Anhui, China
| | - Yujie Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei 230032, Anhui, China
| | - Yaru Yu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei 230032, Anhui, China
| | - Huifen Xiang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei 230032, Anhui, China
- Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People’s Republic of China, Hefei 230032, Anhui, China
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Liu R, Yang J, Du Y, Yu X, Liao Y, Wang B, Yuan K, Wang M, Yao Y, Yang P. A "One Arrow Three Eagle" Strategy to Improve CM-272 Primed Bladder Cancer Immunotherapy. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2310522. [PMID: 38064417 DOI: 10.1002/adma.202310522] [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: 10/10/2023] [Revised: 11/28/2023] [Indexed: 12/17/2023]
Abstract
Immunotherapy using an immune-checkpoint blockade has significantly improved its therapeutic effects. CM-272, which is a novel epigenetic inhibitor of G9a, induces immunogenic cell death (ICD) for recovering the sensitivity to anti-PD-1 antibodies; however, the efficacy of CM-272 is greatly limited by promoting the transcription activity of HIF-1α to form a hypoxic environment. Here, a Fe3+ -based nanoscale metal-organic framework (MIL-53) is used to load CM-272 (ultra-high loading rate of 56.4%) for realizing an MIL-53@CM-272 nanoplatform. After entering bladder cancer cells, Fe3+ not only promotes the decomposition of H2 O2 into O2 for O2 -compensated sonodynamic therapy but reduces the high level of glutathione in the tumor microenvironment (TME) for enhancing reactive oxygen species, including ferroptosis and apoptosis. MIL-53 carriers can be degraded in response to the TME, accelerating the release of CM-272, which helps achieve the maximum effectiveness in an O2 -sufficient TME by attenuating drug resistance. Furthermore, MIL-53@CM-272 enhances dendritic cell maturation and synergistically combines it with an anti-programmed cell death protein 1 antibody during the study of immune-related pathways in the transcriptomes of bladder cancer cells using RNA-seq. This study presents the first instance of amalgamating nanomedicine with CM-272, inducing apoptosis, ferroptosis, and ICD to achieve the "one arrow three eagle" effect.
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Affiliation(s)
- Ruiqi Liu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng Road East, Guangzhou, 510060, P. R. China
| | - Jiani Yang
- Department of Gastrointestinal Medical Oncology, Key Laboratory of Tumor Immunology in Heilongjiang, Harbin Medical University Cancer Hospital, Harbin, 150001, P. R. China
| | - Yaqian Du
- Key Laboratory of Superlight Materials and Surface Technology, Ministry of Education, College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin, 150001, P. R. China
| | - Xuefan Yu
- Department of Gastrointestinal Medical Oncology, Key Laboratory of Tumor Immunology in Heilongjiang, Harbin Medical University Cancer Hospital, Harbin, 150001, P. R. China
| | - Yuanyu Liao
- Department of Gastrointestinal Medical Oncology, Key Laboratory of Tumor Immunology in Heilongjiang, Harbin Medical University Cancer Hospital, Harbin, 150001, P. R. China
| | - Bojun Wang
- Department of Gastrointestinal Medical Oncology, Key Laboratory of Tumor Immunology in Heilongjiang, Harbin Medical University Cancer Hospital, Harbin, 150001, P. R. China
| | - Kaikun Yuan
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, 150001, P. R. China
| | - Mingxu Wang
- Department of Gastrointestinal Medical Oncology, Key Laboratory of Tumor Immunology in Heilongjiang, Harbin Medical University Cancer Hospital, Harbin, 150001, P. R. China
| | - Yuanfei Yao
- Department of Gastrointestinal Medical Oncology, Key Laboratory of Tumor Immunology in Heilongjiang, Harbin Medical University Cancer Hospital, Harbin, 150001, P. R. China
| | - Piaoping Yang
- Key Laboratory of Superlight Materials and Surface Technology, Ministry of Education, College of Materials Science and Chemical Engineering, Harbin Engineering University, Harbin, 150001, P. R. China
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Wang X, Ren T, Liao C, Xie Y, Cao J. An immunogenic cell death-related gene expression signature in predicting prognosis of pancreatic ductal adenocarcinoma. BMC Genomics 2024; 25:205. [PMID: 38395786 PMCID: PMC10885505 DOI: 10.1186/s12864-024-10106-7] [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: 06/26/2023] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Immunogenic cell death (ICD) has been identified as regulated cell death, which is sufficient to activate the adaptive immune response. This study aimed to research ICD-related genes and create a gene model to predict pancreatic ductal adenocarcinoma (PAAD) patients' prognosis. METHODS The RNA sequencing and clinical data were downloaded from the TGCA and GEO databases. The PAAD samples were classified into two subtypes based on the expression levels of ICD-related genes using consensus clustering. Based on the differentially expressed genes (DEGs), a prognostic scoring model was constructed using LASSO regression and Cox regression, and the scoring model was used to predict the prognosis of PAAD patients. Moreover, colony formation assay was performed to confirm the prognostic value of those genes. RESULTS We identified two ICD cluster by consensus clustering, and found that the the ICD-high group was closely associated with immune-hot phenotype, favorable clinical outcomes. We established an ICD-related prognostic model which can predict the prognosis of pancreatic ductal adenocarcinoma. Moreover, depletion of NT5E, ATG5, FOXP3, and IFNG inhibited the colony formation ability of pancreatic cancer cell. CONCLUSION We identified a novel classification for PAAD based on the expression of ICD-related genes, which may provide a potential strategy for therapeutics against PAAD.
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Affiliation(s)
- Xiaobo Wang
- Department of General Surgery, the Second Xiangya Hospital of Central South University, Changsha, China
| | | | - Chuting Liao
- Department of General Surgery, the Second Xiangya Hospital of Central South University, Changsha, China
| | - Yong Xie
- Department of General Surgery, the Second Xiangya Hospital of Central South University, Changsha, China.
| | - Jing Cao
- Department of Breast Surgery, Xiangya Hospital of Central South University, Changsha, China.
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Shi Y, Wu Y, Li F, Jiang K, Fang X, Wang Y, Song X, Wang R, Chen L, Zheng J, Wu C, Qin Y, Liu X, Liu S. Investigating the Immunogenic Cell Death-Dependent Subtypes and Prognostic Signature of Triple-Negative Breast Cancer. PHENOMICS (CHAM, SWITZERLAND) 2024; 4:34-45. [PMID: 38605910 PMCID: PMC11003942 DOI: 10.1007/s43657-023-00133-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 09/04/2023] [Accepted: 09/07/2023] [Indexed: 04/13/2024]
Abstract
Recently, immunotherapy has emerged as a promising and effective method for treating triple-negative breast cancer (TNBC). However, challenges still persist. Immunogenic cell death (ICD) is considered a prospective treatment and potential combinational treatment strategy as it induces an anti-tumor immune response by presenting the antigenic epitopes of dead cells. Nevertheless, the ICD process in TNBC and its impact on disease progression and the response to immunotherapy are not well understood. In this study, we observed dysregulation of the ICD process and verified the altered expression of prognostic ICD genes in TNBC through quantitative real-time polymerase chain reaction (qRT-PCR) analysis. To investigate the potential role of the ICD process in TNBC progression, we determined the ICD-dependent subtypes, and two were identified. Analysis of their distinct tumor immune microenvironment (TIME) and cancer hallmark features revealed that Cluster 1 and 2 corresponded to the immune "cold" and "hot" phenotypes, respectively. In addition, we constructed the prognostic signature ICD score of TNBC patients and demonstrated its clinical independence and generalizability. The ICD score could also serve as a potential biomarker for immune checkpoint blockade and may aid in the identification of targeted effective agents for individualized clinical strategies. Supplementary Information The online version contains supplementary material available at 10.1007/s43657-023-00133-x.
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Affiliation(s)
- Youyang Shi
- Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Wanping South Road, 725, Shanghai, 200033 China
| | - Yuanyuan Wu
- Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Wanping South Road, 725, Shanghai, 200033 China
| | - Feifei Li
- Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Wanping South Road, 725, Shanghai, 200033 China
| | - Kexin Jiang
- Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Wanping South Road, 725, Shanghai, 200033 China
| | - Xiaofang Fang
- First Clinical College, Shandong University of Traditional Chinese Medicine, No. 16369, Jingshi Road, Lixia District, Jinan, 250011 Shandong China
| | - Yu Wang
- Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Wanping South Road, 725, Shanghai, 200033 China
| | - Xiaoyun Song
- Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Wanping South Road, 725, Shanghai, 200033 China
| | - Rui Wang
- Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Wanping South Road, 725, Shanghai, 200033 China
| | - Lixin Chen
- Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Wanping South Road, 725, Shanghai, 200033 China
| | - Jinzhou Zheng
- Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Wanping South Road, 725, Shanghai, 200033 China
| | - Chunyu Wu
- Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Wanping South Road, 725, Shanghai, 200033 China
| | - Yuenong Qin
- Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Wanping South Road, 725, Shanghai, 200033 China
| | - Xiaofei Liu
- First Clinical College, Shandong University of Traditional Chinese Medicine, No. 16369, Jingshi Road, Lixia District, Jinan, 250011 Shandong China
| | - Sheng Liu
- Breast Surgery, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Wanping South Road, 725, Shanghai, 200033 China
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12
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Liu S, Wang R, Fang J. Exploring the frontiers: tumor immune microenvironment and immunotherapy in head and neck squamous cell carcinoma. Discov Oncol 2024; 15:22. [PMID: 38294629 PMCID: PMC10830966 DOI: 10.1007/s12672-024-00870-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: 09/27/2023] [Accepted: 01/19/2024] [Indexed: 02/01/2024] Open
Abstract
The global prevalence of head and neck malignancies positions them as the sixth most common form of cancer, with the head and neck squamous cell carcinoma (HNSCC) representing the predominant histological subtype. Despite advancements in multidisciplinary approaches and molecular targeted therapies, the therapeutic outcomes for HNSCC have only marginally improved, particularly in cases of recurrent or metastatic HNSCC (R/MHNSCC). This situation underscores the critical necessity for the development of innovative therapeutic strategies. Such strategies are essential not only to enhance the efficacy of HNSCC treatment but also to minimize the incidence of associated complications, thus improving overall patient prognosis. Cancer immunotherapy represents a cutting-edge cancer treatment that leverages the immune system for targeting and destroying cancer cells. It's applied to multiple cancers, including melanoma and lung cancer, offering precision, adaptability, and the potential for long-lasting remission through immune memory. It is observed that while HNSCC patients responsive to immunotherapy often experience prolonged therapeutic benefits, only a limited subset demonstrates such responsiveness. Additionally, significant clinical challenges remain, including the development of resistance to immunotherapy. The biological characteristics, dynamic inhibitory changes, and heterogeneity of the tumor microenvironment (TME) in HNSCC play critical roles in its pathogenesis, immune evasion, and therapeutic resistance. This review aims to elucidate the functions and mechanisms of anti-tumor immune cells and extracellular components within the HNSCC TME. It also introduces several immunosuppressive agents commonly utilized in HNSCC immunotherapy, examines factors influencing the effectiveness of these treatments, and provides a comprehensive summary of immunotherapeutic strategies relevant to HNSCC.
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Affiliation(s)
- Shaokun Liu
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Ru Wang
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
| | - Jugao Fang
- Department of Otorhinolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
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13
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Dong P, Zhao L, Zhao L, Zhang J, Lu G, Zhang H, Ma M. A model based on immunogenic cell death-related genes predicts prognosis and response to immunotherapy in kidney renal clear cell carcinoma. Transl Cancer Res 2024; 13:249-267. [PMID: 38410237 PMCID: PMC10894358 DOI: 10.21037/tcr-23-214] [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: 02/14/2023] [Accepted: 10/18/2023] [Indexed: 02/28/2024]
Abstract
Background The prognosis of patients with kidney renal clear cell carcinoma (KIRC), a life-threatening condition, is poor. Immunogenic cell death (ICD) induces regulated cell death via immunogenic signal secretion and exposure. ICD induces regulated cell death through immunogenic signal secretion and exposure. ICD plays an essential role in tumorigenesis, however, the role of ICD in KIRC remains unclear. Methods This study examined the expression levels of 34 ICD-related genes in The Cancer Genome Atlas (TCGA) data set. Signature genes linked to KIRC survival were identified using Cox regression. Next, a prognostic risk model (RM) was built. Subsequently, the KIRC patients were divided into low- and high-risk groups. Kaplan-Meier curves and receiver operating characteristic (ROC) curves were plotted. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were carried out to investigate the possible role of differential gene expression between the two groups. The immune microenvironment (IME) was assessed using Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression, CIBERSORT, and single-sample gene-set enrichment analysis algorithms. An enrichment analysis was used to determine the biological significance of these regulatory networks we conducted. The relationship between immune checkpoint gene expression and risk score, and the relationship between treatment outcome and gene expression were assessed using correlation analyses. Results We developed a KIRC RM based on five ICD-related genes (i.e., FOXP3, IFNB1, IL6, LY96, and TLR4), which were identified as the prognostic signature genes. Using the TCGA data set, we conducted a survival analysis and found that the 3-year RM had an area under the curve (AUC) of 0.735, which validated the reliability of the signature. Similarly, using the International Cancer Genome Consortium (ICGC) data set, we found that the 3-year RM had an AUC of 0.732. Conclusions A RM based on five ICD-related genes was built to predict the prognosis of KIRC patients. This RM predicted patient prognosis and reflected the tumor IME of KIRC patients. Thus, this RM could be used to promote individualized treatments and provide potential novel targets for immunotherapy.
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Affiliation(s)
- Pei Dong
- Department of Clinical Laboratory, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Lincong Zhao
- Information Security Center, Information and Communication Branch of State Grid Hebei Electric Power Co. Ltd., Shijiazhuang, China
| | - Lianmei Zhao
- Research Center, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Jinyan Zhang
- Department of Clinical Laboratory, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Gang Lu
- Department of Clinical Laboratory, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Hong Zhang
- Department of Clinical Laboratory, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
| | - Ming Ma
- Department of Clinical Laboratory, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China
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Han Y, Dong Z, Xing Y, Zhan Y, Zou J, Wang X. Establishment of a prognosis prediction model for lung squamous cell carcinoma related to PET/CT: basing on immunogenic cell death-related lncRNA. BMC Pulm Med 2023; 23:511. [PMID: 38102594 PMCID: PMC10724919 DOI: 10.1186/s12890-023-02792-y] [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: 04/27/2023] [Accepted: 11/28/2023] [Indexed: 12/17/2023] Open
Abstract
BACKGROUND Immunogenic cell death (ICD) stimulates adaptive immunity and holds significant promise in cancer therapy. Nevertheless, the influence of ICD-associated long non-coding RNAs (lncRNAs) on the prognosis of patients with lung squamous cell carcinoma (LUSC) remains unexplored. METHODS We employed data from the The Cancer Genome Atlas (TCGA)database to identify ICD-related lncRNAs associated with the prognosis of LUSC using univariate Cox regression analysis. Subsequently, we utilized the LOSS regression model to construct a predictive risk model for assessing the prognosis of LUSC patients based on ICD-related lncRNAs. Our study randomly allocated187 TCGA patients into a training group and 184 patients for testing the predictive model. Furthermore, we conducted quantitative polymerase chain reaction (qPCR) analysis on 43 tumor tissues from LUSC patients to evaluate lncRNA expression levelsPearson correlation analysis was utilized to analyze the correlation of risk scores with positron emission tomography/computed tomography (PET/CT) parameters among LUSC patients. RESULTS The findings from the univariate Cox regression revealed 16 ICD-associated lncRNAs linked to LUSC prognosis, with 12 of these lncRNAs integrated into our risk model utilizing the LOSS regression. Survival analysis indicated a markedly higher overall survival time among patients in the low-risk group compared to those in the high-risk group. The area under the Receiver operating characteristic (ROC) curve to differentiate high-risk and low-risk patients was 0.688. Additionally, the overall survival rate was superior in the low-risk group compared to the high-risk group. Correlation analysis demonstrated a positive association between the risk score calculated based on the ICD-lncRNA risk model and the maximum standard uptake value (SUVmax) (r = 0.427, P = 0.0043) as well as metabolic volume (MTV)of PET-CT (r = 0.360, P = 0.0177) in 43 LUSC patients. CONCLUSION We have successfully developed a risk model founded on ICD-related lncRNAs that proves effective in predicting the overall survival of LUSC patients.
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Affiliation(s)
- Yu Han
- Nuclear medicine, Cangzhou Central Hospital, Cangzhou, China
| | - Zhiqiang Dong
- 2nd Department of Hepatobiliary and Pancreatic Surgery, Cangzhou People's Hospital, Cangzhou, China
| | - Yu Xing
- Nuclear medicine, Cangzhou Central Hospital, Cangzhou, China
| | - Yingying Zhan
- Nuclear medicine, Cangzhou Central Hospital, Cangzhou, China
| | - Jinhai Zou
- Nuclear medicine, Cangzhou Central Hospital, Cangzhou, China.
| | - Xiaodong Wang
- Department of Pathology, Zhangjiakou Integrated Traditional Chinese and Western Medicine Hospital, Zhangjiakou, China
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Zhao J, Luo Z, Fu R, Zhou J, Chen S, Wang J, Chen D, Xie X. Disulfidptosis-related signatures for prognostic and immunotherapy reactivity evaluation in hepatocellular carcinoma. Eur J Med Res 2023; 28:571. [PMID: 38057871 DOI: 10.1186/s40001-023-01535-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 11/17/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is one of the most common cancers in the world and a nonnegligible health concern on a worldwide scale. Disulfidptosis is a novel mode of cell death, which is mainly caused by the collapse of the actin skeleton. Although many studies have demonstrated that various types of cell death are associated with cancer treatment, the relationship between disulfidptosis and HCC has not been elucidated. METHODS Here, we mainly applied bioinformatics methods to construct a disulfidptosis related risk model in HCC patients. Specifically, transcriptome data and clinical information were downloaded from the Gene Expression Omnibus (GEO), International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA) database. A total of 45 co-expressed genes were extracted between the disulfidptosis-related genes (DRGs) and the differential expression genes (DEGs) of liver hepatocellular carcinoma (LIHC) in the TCGA database. The LIHC cohort was divided into two subgroups with different prognosis by k-mean consensus clustering and functional enrichment analysis was performed. Subsequently, three hub genes (CDCA8, SPP2 and RDH16) were screened by Cox regression and LASSO regression analysis. In addition, a risk signature was constructed and the HCC cohort was divided into high risk score and low risk score subgroups to compare the prognosis, clinical features and immune landscape between the two subgroups. Finally, the prognostic model of independent risk factors was constructed and verified. CONCLUSIONS High DRGs-related risk score in HCC individuals predict poor prognosis and are associated with poor immunotherapy response, which indicates that risk score assessment model can be utilized to guide clinical treatment strategy.
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Affiliation(s)
- Jiajing Zhao
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515000, China
| | - Zeminshan Luo
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515000, China
| | - Ruizhi Fu
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515000, China
| | - Jinghong Zhou
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515000, China
| | - Shubiao Chen
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515000, China
| | - Jianjie Wang
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515000, China
| | - Dewang Chen
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515000, China
| | - Xiaojun Xie
- Department of General Surgery, the First Affiliated Hospital of Shantou University Medical College, Shantou, 515000, China.
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Liu Z, Sun L, Peng X, Liu S, Zhu Z, Huang C. An immunogenic cell death-related signature predicts prognosis and immunotherapy response in stomach adenocarcinoma. Apoptosis 2023; 28:1564-1583. [PMID: 37580435 DOI: 10.1007/s10495-023-01879-5] [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] [Accepted: 07/28/2023] [Indexed: 08/16/2023]
Abstract
The immunogenic cell death (ICD) is a specific type of regulatory cell death (RCD), which induces adaptive immunity against antigens of dead cells. ICDs have received increasing attention for their potential role in tumor microenvironment reprogramming and immunotherapy. However, the relationship between ICD-related features and stomach adenocarcinoma (STAD) prognosis, immune cell infiltration and immunotherapy remains unclear. Patients were divided into different ICD-related subtypes by consensus clustering. The differences in prognosis, Tumor microenvironment (TME), and immune checkpoint expression between different ICD-related subtypes were systematically assessed. Additionally, we constructed an ICD-related gene risk score (ICDRS). We systematically analyzed the correlation between ICDRS and prognosis, TME, immunotherapy response and drug sensitivity of gastric cancer. In addition, we explored the role of TGM2 in promoting gastric cancer progression through in vitro experiments. We identified three ICD-associated subtypes by consensus clustering. The ICD gene was highly expressed in Cluster B. Compared with the other two subtypes, Cluster B had better prognosis, higher immune response signaling activity, massive immune cell infiltration and lower tumor purity. Immune checkpoint (ICP) and human leukocyte antigen (HLA) related genes were also highly expressed in Cluster B. In addition, we found that ICDRS is an effective indicator for predicting the prognosis and immune efficacy of STAD. The low ICDRS group has the characteristics of good prognosis, high tumor mutation burden (TMB), high microsatellite instability (MSI), and sensitivity to immunotherapy, while the high ICDRS group is prone to immune escape and immunotherapy resistance. In addition, we found that down-regulating TGM2 gene can inhibit the proliferation and migration of gastric cancer cells through in vitro experiments. Our study found that the model based on ICD features is helpful to clarify the TME characteristics of STAD, and has important clinical significance for evaluating the prognosis and immunotherapy response of STAD patients. TGM2 plays an important role in the progression of STAD, suggesting that TGM2 can be used as a new target for the treatment of STAD.
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Affiliation(s)
- Zitao Liu
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China
| | - Liang Sun
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China
| | - Xingyu Peng
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China
| | - Sicheng Liu
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China
| | - Zhengming Zhu
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China.
| | - Chao Huang
- Department of General Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, Jiangxi, People's Republic of China.
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Xu T, Zhu C, Song F, Zhang W, Yuan M, Pan Z, Huang P. Immunological characteristics of immunogenic cell death genes and malignant progression driving roles of TLR4 in anaplastic thyroid carcinoma. BMC Cancer 2023; 23:1131. [PMID: 37990304 PMCID: PMC10664293 DOI: 10.1186/s12885-023-11647-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: 06/21/2023] [Accepted: 11/15/2023] [Indexed: 11/23/2023] Open
Abstract
Anaplastic thyroid carcinoma (ATC) was a rare malignancy featured with the weak immunotherapeutic response. So far, disorders of immunogenic cell death genes (ICDGs) were identified as the driving factors in cancer progression, while their roles in ATC remained poorly clear. Datasets analysis identified that most ICDGs were high expressed in ATC, while DE-ICDGs were located in module c1_112, which was mainly enriched in Toll-like receptor signalings. Subsequently, the ICD score was established to classify ATC samples into the high and low ICD score groups, and function analysis indicated that high ICD score was associated with the immune characteristics. The high ICD score group had higher proportions of specific immune and stromal cells, as well as increased expression of immune checkpoints. Additionally, TLR4, ENTPD1, LY96, CASP1 and PDIA3 were identified as the dynamic signature in the malignant progression of ATC. Notably, TLR4 was significantly upregulated in ATC tissues, associated with poor prognosis. Silence of TLR4 inhibited the proliferation, metastasis and clone formation of ATC cells. Eventually, silence of TLR4 synergistically enhanced paclitaxel-induced proliferation inhibition, apoptosis, CALR exposure and release of ATP. Our findings highlighted that the aberrant expression of TLR4 drove the malignant progression of ATC, which contributed to our understanding of the roles of ICDGs in ATC.
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Affiliation(s)
- Tong Xu
- Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, 158 Shangtang Road, Xiacheng District, Hangzhou, Zhejiang, 310014, China
| | - Chaozhuang Zhu
- Zhejiang University of Technology, Hangzhou, Zhejiang, China
| | - Feifeng Song
- Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, 158 Shangtang Road, Xiacheng District, Hangzhou, Zhejiang, 310014, China
| | - Wanli Zhang
- Zhejiang University of Technology, Hangzhou, Zhejiang, China
| | - Mengnan Yuan
- Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, 158 Shangtang Road, Xiacheng District, Hangzhou, Zhejiang, 310014, China
| | - Zongfu Pan
- Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, 158 Shangtang Road, Xiacheng District, Hangzhou, Zhejiang, 310014, China
- Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, Zhejiang, 310014, China
| | - Ping Huang
- Center for Clinical Pharmacy, Cancer Center, Department of Pharmacy, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, 158 Shangtang Road, Xiacheng District, Hangzhou, Zhejiang, 310014, China.
- Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Hangzhou, Zhejiang, 310014, China.
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18
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Chen L, Lin J, Wen Y, Chen Y, Chen CB. Development and validation of a model based on immunogenic cell death related genes to predict the prognosis and immune response to bladder urothelial carcinoma. Front Oncol 2023; 13:1291720. [PMID: 38023241 PMCID: PMC10676223 DOI: 10.3389/fonc.2023.1291720] [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: 09/10/2023] [Accepted: 10/27/2023] [Indexed: 12/01/2023] Open
Abstract
Background Immunogenic cell death (ICD) has been categorized as a variant of regulated cell death that is capable of inducing an adaptive immune response. A growing body of evidence has indicated that ICD can modify the tumor immune microenvironment by releasing danger signals or damage-associated molecular patterns (DAMPs), potentially enhancing the efficacy of immunotherapy. Consequently, the identification of biomarkers associated with ICD that can classify patients based on their potential response to ICD immunotherapy would be highly advantageous. Therefore the goal of the study is to better understand and identify what patients with bladder urothelial carcinoma (BLCA) will respond to immunotherapy by analyzing ICD signatures and investigate ICD-related prognostic factors in the context of BLCA. Methods The data obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases regarding BLCA and normal samples was categorized based on ICD-related genes (IRGs). Specifically, we conducted an immunohistochemical (IHC) experiment to validate the expression levels of Calreticulin (CALR) in both tumor and adjacent tissues, and evaluated its prognostic significance using the Kaplan-Meier (KM) curve. Subsequently, the samples from TCGA were divided into two subtypes using consensus clustering. To obtain a more comprehensive comprehension of the biological functions, we utilized Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA). The calculation of immune landscape between two subtypes was performed through ESTIMATE and CIBERSORT. Risk models were constructed using Cox and Lasso regression and their prognosis predictive ability was evaluated using nomogram, receiver operating characteristic (ROC), and calibration curves. Finally, Tumor Immune Dysfunction and Exclusion (TIDE) algorithms was utilized to predict the response to immunotherapy. Results A total of 34 IRGs were identified, with most of them exhibiting upregulation in BLCA samples. The expression of CALR was notably higher in BLCA compared to the adjacent tissue, and this increase was associated with an unfavorable prognosis. The differentially expressed genes (DEGs) associated with ICD were linked to various immune-related pathways. The ICD-high subtypes exhibited an immune-activated tumor microenvironment (TME) compared to the ICD-low subtypes. Utilizing three IRGs including CALR, IFNB1, and IFNG, a risk model was developed to categorize BLCA patients into high- and low-risk groups. The overall survival (OS) was considerably greater in the low-risk group compared to the high-risk group, as evidenced by both the TCGA and GEO cohorts. The risk score was identified as an independent prognostic parameter (all p < 0.001). Our model demonstrated good predictive ability (The area under the ROC curve (AUC), AUC1-year= 0.632, AUC3-year= 0.637, and AUC5-year =0.653). Ultimately, the lower risk score was associated with a more responsive immunotherapy group. Conclusion The potential of the ICD-based risk signature to function as a marker for evaluating the prognosis and immune landscape in BLCA suggests its usefulness in identifying the suitable population for effective immunotherapy against BLCA.
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Affiliation(s)
- Lizhu Chen
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
- Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Jiexiang Lin
- The Shengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China
| | - Yaoming Wen
- Drug Development, Fujian Institute of Microbiology, Fuzhou, Fujian, China
| | - Yu Chen
- Department of Medical Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
- Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
| | - Chuan-ben Chen
- Cancer Bio-immunotherapy Center, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
- Fujian Provincial Key Laboratory of Translational Cancer Medicine, Fuzhou, Fujian, China
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China
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Huang KCY, Ke TW, Chen JY, Hong WZ, Chiang SF, Lai CY, Chen TW, Yang PC, Chen LC, Liang JA, Chen WTL, Chao KSC. Dysfunctional TLR1 reduces the therapeutic efficacy of chemotherapy by attenuating HMGB1-mediated antitumor immunity in locally advanced colorectal cancer. Sci Rep 2023; 13:19440. [PMID: 37945630 PMCID: PMC10636035 DOI: 10.1038/s41598-023-46254-1] [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: 03/28/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023] Open
Abstract
Regional lymph node metastasis is an important predictor for survival outcome and an indicator for postoperative adjuvant chemotherapy in patients with colorectal cancer. Even with advances in adjuvant chemotherapeutic regimens, 5-year distant metastasis and survival rates are still unsatisfactory. Here, we evaluate the clinical significance of polymorphisms in receptors for HMGB1, which is the hallmark of chemotherapy-induced immunogenic cell death, in patients with stage II-III colon carcinoma (COAD). We found that high cytosolic HMGB1 is elicited in stage III COAD patients who received adjuvant chemotherapy. Patients with the TLR1-N248S polymorphism (rs4833095), which causes loss-of-function in HMGB1-mediated TLR1-TLR2 signaling, may influence the therapeutic efficacy of adjuvant chemotherapy, leading to a high risk of distant metastasis within 5 years [HR = 1.694, 95% CI = 1.063-2.698, p = 0.027], suggesting that TLR1-N248S is an independent prognostic factor for locally advanced colon carcinoma patients. We found that defective TLR1 impaired TLR1/2 signaling during dendritic cell (DC) maturation for the antitumor immune response under immunogenic chemotherapy oxaliplatin (OXP) treatment. Defective TLR1 on DCs impaired their maturation ability by HMGB1 and reduced the secretion of IFNγ from T cells to eradicate tumor cells in vitro. Moreover, systemic inhibition of TLR1/2 dramatically reduced the tumor-infiltrating immune cells by OXP treatment, leading to poor therapeutic response to OXP. In contrast, administration of a TLR1/2 agonist synergistically increased the benefit of OXP treatment and triggered a high density of tumor-infiltrating immune cells. We also observed that fewer tumor-infiltrating cytotoxic T lymphocytes were located within the tumor microenvironment in patients bearing the TLR1-N248S polymorphism. Overall, our results suggest that dysfunctional TLR1 may reduce the therapeutic response to adjuvant chemotherapy by impairing HMGB1-mediated DC maturation and attenuating the antitumor immune response in locally advanced colon carcinoma patients.
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Affiliation(s)
- Kevin Chih-Yang Huang
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, 40402, Taiwan, ROC
- Translation Research Core, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan, ROC
- Cancer Biology and Precision Therapeutics Center, China Medical University, Taichung, 40402, Taiwan, ROC
| | - Tao-Wei Ke
- Department of Colorectal Surgery, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan, ROC
- School of Chinese Medicine and Graduate Institute of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan, ROC
| | - Jia-Yi Chen
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, 40402, Taiwan, ROC
- Translation Research Core, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan, ROC
- Proton Therapy and Science Center, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan, ROC
| | - Wei-Ze Hong
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, 40402, Taiwan, ROC
- Translation Research Core, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan, ROC
- Proton Therapy and Science Center, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan, ROC
| | - Shu-Fen Chiang
- Lab of Precision Medicine, Feng-Yuan Hospital, Ministry of Health and Welfare, Taichung, 42055, Taiwan, ROC
| | - Chia-Ying Lai
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, 40402, Taiwan, ROC
- Translation Research Core, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan, ROC
- Proton Therapy and Science Center, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan, ROC
| | - Tsung-Wei Chen
- Department of Pathology, Asia University Hospital, Asia University, Taichung, 41354, Taiwan, ROC
| | - Pei-Chen Yang
- Proton Therapy and Science Center, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan, ROC
| | - Liang-Chi Chen
- Department of Pathology, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan, ROC
| | - Ji-An Liang
- Department of Radiation Oncology, China Medical University Hospital, China Medical University, Taichung, Taiwan, ROC
- Department of Radiotherapy, School of Medicine, China Medical University, Taichung, 40402, Taiwan, ROC
| | - William Tzu-Liang Chen
- Department of Colorectal Surgery, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan, ROC.
- Department of Colorectal Surgery, China Medical University HsinChu Hospital, China Medical University, HsinChu, 302, Taiwan, ROC.
- Department of Surgery, School of Medicine, China Medical University, Taichung, 40402, Taiwan, ROC.
| | - K S Clifford Chao
- Proton Therapy and Science Center, China Medical University Hospital, China Medical University, Taichung, 40402, Taiwan, ROC.
- Department of Radiation Oncology, China Medical University Hospital, China Medical University, Taichung, Taiwan, ROC.
- Department of Radiotherapy, School of Medicine, China Medical University, Taichung, 40402, Taiwan, ROC.
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20
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Yu C, Yang W, Tian L, Qin Y, Gong Y, Cheng W. Construction of immunogenic cell death-related molecular subtypes and prognostic signature in colorectal cancer. Open Med (Wars) 2023; 18:20230836. [PMID: 38025525 PMCID: PMC10655694 DOI: 10.1515/med-2023-0836] [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: 04/20/2023] [Revised: 09/22/2023] [Accepted: 10/10/2023] [Indexed: 12/01/2023] Open
Abstract
Immunotherapy is a promising treatment for advanced colorectal cancers (CRCs). However, immunotherapy resistance remains a common problem. Immunogenic cell death (ICD), a form of regulated cell death, induces adaptive immunity, thereby enhancing anti-tumor immunity. Research increasingly suggests that inducing ICD is a promising avenue for cancer immunotherapy and identifying ICD-related biomarkers for CRCs would create a new direction for targeted therapies. Thus, this study used bioinformatics to address these questions and create a prognostic signature, aiming to improve individualized CRC treatment. We identified two ICD -related molecular subtypes of CRCs. The high subtype showed pronounced immune cell infiltration, high immune activity, and high expression of human leukocyte antigen and immune checkpoints genes. Subsequently, we constructed and validated a prognostic signature comprising six genes (CD1A, TSLP, CD36, TIMP1, MC1R, and NRG1) using random survival forest analyses. Further analysis using this prediction model indicated that patients with CRCs in the low-risk group exhibited favorable clinical outcomes and better immunotherapy responses than those in the high-risk group. Our findings provide novel insights into determining the prognosis and design of personalized immunotherapeutic strategies for patients with CRCs.
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Affiliation(s)
- Chun Yu
- Department of Gastroenterology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing210029, China
| | - Weixuan Yang
- Department of Gastroenterology, The Fifth People’s Hospital of Huai’an, Huai’an223300, China
| | - Li Tian
- Department of Gastroenterology, Zigong Fourth People’s Hospital, Zigong643000, China
| | - Yue Qin
- Department of Gastroenterology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing210029, China
| | - Yaoyao Gong
- Department of Gastroenterology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing210029, China
| | - Wenfang Cheng
- Department of Gastroenterology, Jiangsu Province Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing210029, China
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Shu K, Cai C, Chen W, Ding J, Guo Z, Wei Y, Zhang W. Prognostic value and immune landscapes of immunogenic cell death-associated lncRNAs in lung adenocarcinoma. Sci Rep 2023; 13:19151. [PMID: 37932413 PMCID: PMC10628222 DOI: 10.1038/s41598-023-46669-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: 06/16/2023] [Accepted: 11/03/2023] [Indexed: 11/08/2023] Open
Abstract
Immunogenic cell death (ICD) has been demonstrated to activate T cells to kill tumor cells, which is closely related to tumor development, and long noncoding RNAs (lncRNAs) are also involved. However, it is not known whether ICD-related lncRNAs are associated with the development of lung adenocarcinoma (LUAD). We downloaded ICD-related genes from GeneCards and the transcriptome statistics of LUAD patients from The Cancer Genome Atlas (TCGA) and subsequently developed and verified a predictive model. A successful model was used together with other clinical features to construct a nomogram for predicting patient survival. To further study the mechanism of tumor action and to guide therapy, we performed enrichment analysis, tumor microenvironment analysis, somatic mutation analysis, drug sensitivity analysis and real-time quantitative polymerase chain reaction (RT-qPCR) analysis. Nine ICD-related lncRNAs with significant prognostic relevance were selected for model construction. Survival analysis demonstrated that overall survival was substantially shorter in the high-risk group than in the low-risk group (P < 0.001). This model was predictive of prognosis across all clinical subgroups. Cox regression analysis further supported the independent prediction ability of the model. Ultimately, a nomogram depending on stage and risk score was created and showed a better predictive performance than the nomogram without the risk score. Through enrichment analysis, the enriched pathways in the high-risk group were found to be primarily associated with metabolism and DNA replication. Tumor microenvironment analysis suggested that the immune cell concentration was lower in the high-risk group. Somatic mutation analysis revealed that the high-risk group contained more tumor mutations (P = 0.00018). Tumor immune dysfunction and exclusion scores exhibited greater sensitivity to immunotherapy in the high-risk group (P < 0.001). Drug sensitivity analysis suggested that the predictive model can also be applied to the choice of chemotherapy drugs. RT-qPCR analysis also validated the accuracy of the constructed model based on nine ICD-related lncRNAs. The prognostic model constructed based on the nine ICD-related lncRNAs showed good application value in assessing prognosis and guiding clinical therapy.
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Affiliation(s)
- Kexin Shu
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, China
- Jiangxi Medical College, Nanchang University, Nanchang, 330006, China
| | - Chenxi Cai
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, China
- Jiangxi Medical College, Nanchang University, Nanchang, 330006, China
| | - Wanying Chen
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, China
- Jiangxi Medical College, Nanchang University, Nanchang, 330006, China
| | - Jiatong Ding
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, China
- Jiangxi Medical College, Nanchang University, Nanchang, 330006, China
| | - Zishun Guo
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, China
| | - Yiping Wei
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, China.
| | - Wenxiong Zhang
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, 1 Minde Road, Nanchang, 330006, China.
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22
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Xu J, Yang J, Pan X, Wang J. Prognostic and immunotherapeutic significance of immunogenic cell death-related genes in colon adenocarcinoma patients. Sci Rep 2023; 13:19188. [PMID: 37932362 PMCID: PMC10628212 DOI: 10.1038/s41598-023-46675-y] [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: 03/23/2023] [Accepted: 11/03/2023] [Indexed: 11/08/2023] Open
Abstract
In recent years, genes associated with immunogenic cell death (ICD)-related genes have garnered significant interest as potential targets for immunotherapy. As a frontier in cancer treatment, immunotherapy has notably enhanced the therapeutic outcomes for cancer patients. However, since only a subset of patients benefits from this treatment approach, there is an imperative need for biomarker research to enhance patient sensitivity to immunotherapy. Expression of ICD-related genes and clinical patient data were sourced from The Cancer Genome Atlas (TCGA) database. Utilizing univariate Cox regression analysis, we constructed a signature for predicting the overall survival of colon adenocarcinoma (COAD) patients. A genomic feature analysis was performed, incorporating tumor mutation burden (TMB) and copy number variation (CNV). The immunological characteristics were analyzed via the ssGSEA and GSEA algorithms, with the resulting data visualized using R software (version 4.2.1). According to the univariate regression analysis for COAD, AIM2 emerged as the gene most significantly associated with overall survival among the 32 ICD-related genes in the TCGA dataset. Patients were divided into two groups based on high or low AIM2 expression, and genomic differences between the groups were explored. Patients expressing high levels of AIM2 had a higher TMB and a lower CNV. In addition, these patients had elevated immune checkpoint, immune cell, and immune function scores, thus indicating increased sensitivity to immunotherapy. TIDE analysis further confirmed that these patients were likely to respond more effectively to immunotherapy. Subclass mapping analysis corroborated our findings, demonstrating that patients with high AIM2 expression responded more positively to immunotherapy. Additionally, our study found that the suppression of AIM2 could significantly enhance the proliferation, invasion, and migration capabilities of colon cancer cells. In this research, we identified a novel prognostic signature suggesting that patients with higher AIM2 expression levels are more likely to respond favorably to immunotherapy.
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Affiliation(s)
- Jun Xu
- Department of Basic Courses, Anhui Medical College, Hefei, 230032, Anhui, China
- Department of Pathology, Hefei First People's Hospital, Hefei, 230001, Anhui, China
| | - Jun Yang
- Department of Basic Courses, Anhui Medical College, Hefei, 230032, Anhui, China
| | - Xianzhu Pan
- Department of Basic Courses, Anhui Medical College, Hefei, 230032, Anhui, China
| | - Jian Wang
- Department of Basic Courses, Anhui Medical College, Hefei, 230032, Anhui, China.
- Department of Pathology, Hefei First People's Hospital, Hefei, 230001, Anhui, China.
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Yu W, Li M, Xia J. Identification of immunogenic cell death‑related prognostic signatures in pancreatic cancer. Oncol Lett 2023; 26:473. [PMID: 37809045 PMCID: PMC10551861 DOI: 10.3892/ol.2023.14061] [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: 12/12/2022] [Accepted: 08/22/2023] [Indexed: 10/10/2023] Open
Abstract
Targeting immunogenic cell death (ICD) may enable the response of pancreatic cancer to immune checkpoint inhibitors (ICIs). The aim of the present study was to elucidate the role of ICD-related genes in pancreatic cancer. Utilizing the k-means method, consensus clustering was employed to effectively group patients with pancreatic cancer. Subsequently, a set of differentially expressed genes was identified between the two subtypes related to ICD, facilitating the execution of a comprehensive enrichment analysis. Furthermore, the construction of an ICD-related prognostic signature (IRPS) was accomplished through LASSO Cox regression, thereby enabling the assessment of responses to both chemotherapy and immunotherapy. In addition, the biological functionality of 5'-nucleotidase ecto (NT5E) was elucidated through experimental investigations. Patients characterized as the ICD high subtype experienced a comparatively shorter overall survival. This subtype exhibited a noteworthy correlation with HLA families and immune checkpoint molecules, underscoring its immunological significance. Subsequently, patients with elevated IRPS risk scores displayed resistance towards immunotherapy interventions. Of note, synergistic downregulation of NT5E in combination with Gemcitabine was observed to significantly induce tumor cell apoptosis, emphasizing its potential therapeutic value. Leveraging ICD-related genes, a novel classification system was meticulously devised to comprehensively evaluate both the clinical outcomes and therapeutic responses of patients diagnosed with pancreatic cancer.
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Affiliation(s)
- Wenjing Yu
- Department of Laboratory Medicine, The 13th People's Hospital of Chongqing, Chongqing 400053, P.R. China
| | - Mei Li
- Department of Laboratory Medicine, The 13th People's Hospital of Chongqing, Chongqing 400053, P.R. China
| | - Jing Xia
- Department of Laboratory Medicine, The 13th People's Hospital of Chongqing, Chongqing 400053, P.R. China
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Sartorius D, Blume ML, Fleischer JR, Ghadimi M, Conradi LC, De Oliveira T. Implications of Rectal Cancer Radiotherapy on the Immune Microenvironment: Allies and Foes to Therapy Resistance and Patients' Outcome. Cancers (Basel) 2023; 15:5124. [PMID: 37958298 PMCID: PMC10650490 DOI: 10.3390/cancers15215124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 10/16/2023] [Accepted: 10/19/2023] [Indexed: 11/15/2023] Open
Abstract
Aside from surgical resection, locally advanced rectal cancer is regularly treated with neoadjuvant chemoradiotherapy. Since the concept of cancer treatment has shifted from only focusing on tumor cells as drivers of disease progression towards a broader understanding including the dynamic tumor microenvironment (TME), the impact of radiotherapy on the TME and specifically the tumor immune microenvironment (TIME) is increasingly recognized. Both promoting as well as suppressing effects on anti-tumor immunity have been reported in response to rectal cancer (chemo-)radiotherapy and various targets for combination therapies are under investigation. A literature review was conducted searching the PubMed database for evidence regarding the pleiotropic effects of (chemo-)radiotherapy on the rectal cancer TIME, including alterations in cytokine levels, immune cell populations and activity as well as changes in immune checkpoint proteins. Radiotherapy can induce immune-stimulating and -suppressive alterations, potentially mediating radioresistance. The response is influenced by treatment modalities, including the dosage administered and the highly individual intrinsic pre-treatment immune status. Directly addressing the main immune cells of the TME, this review aims to highlight therapeutical implications since efficient rectal cancer treatment relies on personalized strategies combining conventional therapies with immune-modulating approaches, such as immune checkpoint inhibitors.
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Affiliation(s)
| | | | | | | | - Lena-Christin Conradi
- Department of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, Robert-Koch-Straβe 40, 37075 Göttingen, Germany; (D.S.); (M.L.B.); (J.R.F.); (M.G.)
| | - Tiago De Oliveira
- Department of General, Visceral and Pediatric Surgery, University Medical Center Göttingen, Robert-Koch-Straβe 40, 37075 Göttingen, Germany; (D.S.); (M.L.B.); (J.R.F.); (M.G.)
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25
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Liu Y, Zhang L, Lei X, Yin X, Liu S. Development of an immunogenic cell death prognostic signature for predicting clinical outcome and immune infiltration characterization in stomach adenocarcinoma. Aging (Albany NY) 2023; 15:11389-11411. [PMID: 37862109 PMCID: PMC10637829 DOI: 10.18632/aging.205132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 10/03/2023] [Indexed: 10/22/2023]
Abstract
Stomach adenocarcinoma (STAD) is a common gastric histological cancer type with a high mortality rate. Immunogenic cell death (ICD) plays a key factor during carcinogenesis progress, whereas the prognostic value and role of ICD-related genes (ICDRGs) in STAD remain unclear. The MSigDB database collecting ICDRGs were selected by univariate Cox regression analysis and LASSO algorithm to establish a novel risk model. The Kaplan-Meier survival analysis indicated a significant difference of OS rate of patients by risk score stratification. ESTIMATE, CIBERSORT, and single sample gene set enrichment analysis (ssGSEA) algorithms were conducted to estimate the immune infiltration landscape by risk stratification. Subgroup analysis and tumor mutation burden analysis were also analyzed to identify characteristics between groups. Differences in therapeutic responsiveness to chemotherapeutic drugs and targeted drugs were also analyzed between high-risk group and low-risk group. The impact of one ICDRG, GPX1, on the proliferation, migration and invasiveness of was confirmed by in vitro experiments in GC cells to test the reliability of bioinformatics results. This study gives evidence of the involvement of ICD process in STAD and provides a new perspective for further accurate assessment of prognosis and therapeutic efficacy in STAD patients. Stomach adenocarcinoma (STAD) is a common gastric histological cancer type with a high mortality rate. Immunogenic cell death (ICD) plays a key factor during carcinogenesis progress, whereas the prognostic value and role of ICD-related genes (ICDRGs) in STAD remains unclear. The MSigDB database collected ICDRGs were selected by univariate Cox regression analysis and LASSO algorithm to establish a novel risk model. The Kaplan-Meier survival analysis indicated a significant difference of OS rate of patients by risk score stratification. ESTIMATE, CIBERSORT, and single sample gene set enrichment analysis (ssGSEA) algorithms were conducted to estimate the immune infiltration landscape by risk stratification. Subgroup analysis and tumor mutation burden analysis were also analyzed to identify characteristics between groups. Differences in therapeutic responsiveness to chemotherapeutic drugs and targeted drugs were also analyzed between high-risk group and low-risk group. The impact of one ICDRG, GPX1, on the proliferation, migration and invasiveness of was confirmed by in vitro experiments in GC cells to test the reliability of bioinformatics results. This study gives evidence of the involvement of ICD process in STAD and provides a new perspective for further accurate assessment of prognosis and therapeutic efficacy in STAD patients.
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Affiliation(s)
- Ye Liu
- Department of Intensive Care Unit, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang Province, China
| | - Lijia Zhang
- Ethics Committee Office, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang Province, China
| | - Xue Lei
- Department of Clinical Specialty of Integrated Traditional Chinese and Western Medicine, Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang Province, China
| | - Xinyu Yin
- Department of Clinical Specialty of Integrated Traditional Chinese and Western Medicine, Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang Province, China
| | - Songjiang Liu
- Department of Oncology, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin 150040, Heilongjiang Province, China
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Zhang P, Zhang H, Tang J, Ren Q, Zhang J, Chi H, Xiong J, Gong X, Wang W, Lin H, Li J, Huang C. The integrated single-cell analysis developed an immunogenic cell death signature to predict lung adenocarcinoma prognosis and immunotherapy. Aging (Albany NY) 2023; 15:10305-10329. [PMID: 37796202 PMCID: PMC10599752 DOI: 10.18632/aging.205077] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/06/2023] [Indexed: 10/06/2023]
Abstract
BACKGROUND Research on immunogenic cell death (ICD) in lung adenocarcinoma (LUAD) has been relatively limited. This study aims to create ICD-related signatures for accurate survival prognosis prediction in LUAD patients, addressing the challenge of lacking reliable early prognostic indicators for this type of cancer. METHODS Using single-cell RNA sequencing (scRNA-seq) analysis, ICD activity in cells was calculated by AUCell algorithm, divided into high- and low-ICD groups according to median values, and key ICD regulatory genes were identified through differential analysis, and these genes were integrated into TCGA data to construct prognostic signatures using LASSO and COX regression analysis, and multi-dimensional analysis of ICD-related signatures in terms of prognosis, immunotherapy, tumor microenvironment (TME), and mutational landscape. RESULTS The constructed signature reveals a pronounced disparity in prognosis between the high- and low-risk groups of LUAD patients. The statistical discrepancies in survival times among LUAD patients from both the TCGA and GEO databases further corroborate this observation. Additionally, heightened levels of immune cell infiltration expression are evidenced in the low-risk group, suggesting a potential benefit from immunotherapeutic interventions for these patients. The expression levels of pivotal risk-associated genes in tissue samples were assessed utilizing qRT-PCR, thereby unveiling PITX3 as a plausible therapeutic target in the context of LUAD. CONCLUSIONS Our constructed ICD-related signatures provide help in predicting the prognosis and immunotherapy of LUAD patients, and to some extent guide the clinical treatment of LUAD patients.
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Affiliation(s)
- Pengpeng Zhang
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Lung Cancer Surgery, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Haotian Zhang
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Junjie Tang
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Qianhe Ren
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jieying Zhang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Hao Chi
- Clinical Medical College, Southwest Medical University, Luzhou, China
| | - Jingwen Xiong
- Department of Sports Rehabilitation, Southwest Medical University, Luzhou, China
| | - Xiangjin Gong
- Department of Sports Rehabilitation, Southwest Medical University, Luzhou, China
| | - Wei Wang
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Haoran Lin
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jun Li
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Chenjun Huang
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Pang M, Sun X, He T, Liang H, Yang H, Chen J. Development of a prognostic model based on anoikis-related genes for predicting clinical prognosis and immunotherapy of hepatocellular carcinoma. Aging (Albany NY) 2023; 15:10253-10271. [PMID: 37787988 PMCID: PMC10599733 DOI: 10.18632/aging.205073] [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: 04/21/2023] [Accepted: 06/19/2023] [Indexed: 10/04/2023]
Abstract
Hepatocellular Carcinoma (HCC) is the predominant cause of cancer-related mortality worldwide. The majority of HCC patients are diagnosed at advanced stages of the disease, with a high likelihood of metastasis and unfavorable prognosis. Anoikis resistance is a crucial factor contributing to tumor invasion and metastasis, although its specific role in HCC remains unclear. Based on the results of univariate Cox regression and least absolute shrink-age and selection operator (LASSO) analysis, a subset of anoikis-related genes (ARGs) significantly associated with overall survival (OS) was identified. A multivariate Cox regression analysis subsequently identified PDK4, STK11, and TFDP1 as three prognostic ARGs, which were then used to establish a prognostic risk model. Differences in OS caused by risk stratification in HCC patients were demonstrated. The nomogram analysis indicated that the ARGs prognostic signature served as an independent prognostic predictor. In vitro experiments further confirmed the abnormal expression of selected ARGs in HCC. The association between risk scores and OS was further examined through Kaplan-Meier analysis, CIBERSORT analysis, and single-sample gene set enrichment analysis (ssGSEA). This study is a pioneering effort to integrate multiple ARGs and establish a risk-predictive model, providing a unique perspective for the development of personalized and precise therapeutic strategies for HCC.
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Affiliation(s)
- Mu Pang
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong 518000, China
| | - Xizhe Sun
- Research Center for Drug Safety Evaluation of Hainan, Hainan Medical University, Haikou, Hainan 571199, China
| | - Ting He
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong 518000, China
| | - Huichao Liang
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong 518000, China
| | - Hao Yang
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong 518000, China
| | - Jun Chen
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, Guangdong 518000, China
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Chen W, Shu K, Cai C, Ding J, Zhang X, Zhang W, Wang K. Prognostic value and immune landscapes of immunogenic cell death-related lncRNAs in hepatocellular carcinoma. Biosci Rep 2023; 43:BSR20230634. [PMID: 37584192 PMCID: PMC10500227 DOI: 10.1042/bsr20230634] [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: 04/02/2023] [Revised: 05/31/2023] [Accepted: 08/15/2023] [Indexed: 08/17/2023] Open
Abstract
BACKGROUND Both immunogenic cell death (ICD) and long noncoding RNAs (lncRNAs) are strongly associated with tumor development, but the mechanism of action of ICD-associated lncRNAs in hepatocellular carcinoma (HCC) remains unclear. METHODS We collected data from 365 HCC patients from The Cancer Genome Atlas (TCGA) database. We formulated a prognostic signature of ICD-associated lncRNAs and a nomogram to predict prognosis. To explore the potential mechanisms and provide clinical guidance, survival analysis, enrichment analysis, tumor microenvironment analysis, tumor mutation burden (TMB), and drug sensitivity prediction were conducted based on the subgroups obtained from the risk score. RESULTS A prognostic signature of seven ICD-associated lncRNAs was constructed. Kaplan-Meier (K-M) survival curves showed a more unfavorable outcome in high-risk patients. The nomogram had a higher predictive value than the nomogram constructed without the risk model. Enrichment analysis confirmed that risk lncRNAs were closely associated with cell proliferation and mitosis. Most of the immune checkpoints currently used in therapy (e.g., PDCD1 and CTLA4) appeared to be elevated in high-risk patients. Tumor microenvironment analysis showed differential expression of lymphocytes (including natural killer cells, regulatory T cells, etc.) in the high-risk group. TMB had a higher incidence of mutations in the high-risk group (P=0.004). Chemotherapy drug sensitivity prediction provides effective guidelines for individual therapy. RT-qPCR of human HCC tissues verified the accuracy of the model. CONCLUSION We constructed an effective prognostic signature for patients with HCC using seven ICD-lncRNAs, which provides guidance for the prognostic assessment and personalized treatment of patients.
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Affiliation(s)
- Wanying Chen
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
- Jiangxi Medical College, Nanchang University, Nanchang 330006, China
| | - Kexin Shu
- Jiangxi Medical College, Nanchang University, Nanchang 330006, China
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Chenxi Cai
- Jiangxi Medical College, Nanchang University, Nanchang 330006, China
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Jiatong Ding
- Jiangxi Medical College, Nanchang University, Nanchang 330006, China
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Xin Zhang
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Wenxiong Zhang
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
| | - Kang Wang
- Department of Traditional Chinese Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
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Cui Y, Li Y, Long S, Xu Y, Liu X, Sun Z, Sun Y, Hu J, Li X. Comprehensive analysis of the immunogenic cell death-related signature for predicting prognosis and immunotherapy efficiency in patients with lung adenocarcinoma. BMC Med Genomics 2023; 16:184. [PMID: 37553698 PMCID: PMC10410984 DOI: 10.1186/s12920-023-01604-w] [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: 03/29/2023] [Accepted: 07/07/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND Although immunotherapy has been considered as a potent strategy for lung adenocarcinoma (LUAD), only a small part of patients was served as potentially clinical benefiters. Immunogenic cell death (ICD), a type of regulated cell death (RCD), which enable to reshape the tumor immune microenvironment and contribute to the immunotherapy efficiency. Developing a novel ICD-based signature may be a potential strategy to differentiate prognosis of patients with LUAD and predict efficacy of immunotherapy. METHODS In this study, 34 ICD-related genes (ICDRGs) were identified and analyzed in LUAD samples from the Cancer Genome Atlas (TCGA). 572 patients with LUAD were divided into two distinct clusters according to ICDRGs expression levels. Patients were subsequently classified into two distinct gene subtypes based on differentially expressed genes (DEGs) analyzed between two ICD-related clusters. We further developed and validated a novel ICD-related score (ICDRS) followed by comprehensive investigation about the landscape of the prognosis, immune-based features, immunotherapautic responses and sensitivity of target drugs in patients with LUAD. RESULTS After confirming transcriptomic aberrations and appraising prognostic value of ICDRGs, two ICD-associated subtypes were initially determined by consensus clustering in accordance with differentially expressional levels of ICDRGs. It was shown that patients in the ICD high-subtype possessed the superior clinical prognosis, abundant immune cell infiltration and higher involvement in immune-related signaling compared with the ICD low-subtype. A signature of ICD-related score (ICDRS) was further established and validated, which was served as an independent prognostic indicator for LUAD patients. These comprehensive results revealed that the high-score patients represented better clinical prognosis, higher immune infiltration-related characteristics, stronger expression of immune checkpoints, and better response to immune checkpoint inhibitor therapy and multiple targeted drugs. To further verify our analysis, we selected TLR4 as the representative of ICDRGs and evaluated its expression on the lung normal cells and cancer cells in vitro. Then, relative animal experiments were performed in vivo, with results of that the stimulation of TLR4 suppressed the growth of lung cancer. CONCLUSIONS In conclusion, our comprehensive analysis of ICDRGs in LUAD demonstrated their function in serving as a biomarker of predicting prognosis and clinical effects of immunotherapy and targeted drugs, which is meaningful to improve our understanding of ICDRGs and brought inspirations about evaluating prognosis and developing effective therapeutic strategies to patients with LUAD.
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Affiliation(s)
- Yingshu Cui
- Department of Oncology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China
- Medical School of Chinese PLA, Beijing, China
| | - Yi Li
- Medical School of Chinese PLA, Beijing, China
| | - Shan Long
- School of Medicine, Nankai University, Tianjin, China
| | - Yuanyuan Xu
- Department of Oncology, The Affiliated Hospital of Southwest Medical University, Sichuan, China
| | - Xinxin Liu
- Department of General Surgery, Peking University First Hospital, Beijing, China
| | - Zhijia Sun
- Department of Radiation Oncology, Air Force General Hospital, Beijing, China
| | - Yuanyuan Sun
- Department of Oncology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Jia Hu
- Department of Oncology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China.
| | - Xiaosong Li
- Department of Oncology, The Fifth Medical Center, Chinese PLA General Hospital, Beijing, China.
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Vallianou NG, Evangelopoulos A, Kounatidis D, Panagopoulos F, Geladari E, Karampela I, Stratigou T, Dalamaga M. Immunotherapy in Head and Neck Cancer: Where Do We Stand? Curr Oncol Rep 2023; 25:897-912. [PMID: 37213060 DOI: 10.1007/s11912-023-01425-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/19/2023] [Indexed: 05/23/2023]
Abstract
PURPOSEOF REVIEW Head and neck cancer (HNC) comprises a group of malignancies, amongst which squamous cell carcinoma accounts for more than 90% of the cases. HNC has been related to tobacco use, alcohol consumption, human papillomavirus, Epstein-Barr virus, air pollution, and previous local radiotherapy. HNC has been associated with substantial morbidity and mortality. This review aims to summarize the recent findings regarding immunotherapy in HNC. RECENT FINDINGS The recent introduction of immunotherapy, with the use of programmed death 1 (PD-1) inhibitors pembrolizumab and nivolumab, which have been FDA approved for the treatment of metastatic or recurrent head and neck squamous cell carcinoma, has changed the field in metastatic or recurrent disease. There are many ongoing trials regarding the use of novel immunotherapeutic agents, such as durvalumab, atezolizumab, avelumab, tremelimumab, and monalizumab. In this review, we focus on the therapeutic potential of novel immunotherapy treatment modalities, such as combinations of newer immune-checkpoint inhibitors; the use of tumor vaccines such as human papillomavirus-targeted vaccines; the potential use of oncolytic viruses; as well as the latest advances regarding adoptive cellular immunotherapy. As novel treatment options are still emerging, a more personalized approach to metastatic or recurrent HNC therapy should be followed. Moreover, the role of the microbiome in immunotherapy, the limitations of immunotherapy, and the various diagnostic, prognostic, and predictive biomarkers based on genetics and the tumor microenvironment are synopsized.
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Affiliation(s)
- Natalia G Vallianou
- Department of Internal Medicine, Evangelismos General Hospital, 45-47 Ipsilantou Str, 10676, Athens, Greece.
| | - Angelos Evangelopoulos
- Department of Internal Medicine, Evangelismos General Hospital, 45-47 Ipsilantou Str, 10676, Athens, Greece
| | - Dimitris Kounatidis
- Department of Internal Medicine, Evangelismos General Hospital, 45-47 Ipsilantou Str, 10676, Athens, Greece
| | - Fotis Panagopoulos
- Department of Internal Medicine, Evangelismos General Hospital, 45-47 Ipsilantou Str, 10676, Athens, Greece
| | - Eleni Geladari
- Department of Internal Medicine, Evangelismos General Hospital, 45-47 Ipsilantou Str, 10676, Athens, Greece
| | - Irene Karampela
- 2Nd Department of Critical Care, Medical School, University of Athens, Attikon General University Hospital, 1 Rimini Street, 12462, Athens, Chaidari, Greece
| | - Theodora Stratigou
- Department of Internal Medicine, Evangelismos General Hospital, 45-47 Ipsilantou Str, 10676, Athens, Greece
| | - Maria Dalamaga
- Department of Biological Chemistry, Medical School, National and Kapodistrian University of Athens, 75 Mikras Asias Str, 11527, Athens, Greece
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SUN DONGJIE, ZHANG CHI. Immunogenic cell death-related long noncoding RNA influences immunotherapy against lung adenocarcinoma. Oncol Res 2023; 31:753-767. [PMID: 37547766 PMCID: PMC10398397 DOI: 10.32604/or.2023.029287] [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: 02/10/2023] [Accepted: 05/06/2023] [Indexed: 08/08/2023] Open
Abstract
Lung adenocarcinoma (LUAD) is the leading cause of cancer-related deaths, accounting for over a million deaths worldwide annually. Immunogenic cell death (ICD) elicits an adaptive immune response. However, the role of ICD-related long noncoding RNAs (lncRNAs) in LUAD is unknown. In this study, we investigated the characteristics of the tumor microenvironment in LUAD, the prognostic significance of ICD-related lncRNAs, and the half-maximal inhibitory concentration (IC50) of possible chemotherapeutic drugs. We sorted prognostic lncRNAs using univariate Cox regression and constructed a risk signature based on them. We then confirmed the model's accuracy and generated a nomogram. Additionally, we performed immune microenvironment analysis, somatic mutation calculation, Tumor Immune Dysfunction and Exclusion (TIDE) analysis, and anticancer pharmaceutical IC50 prediction. Least absolute shrinkage and selection operator Cox regression identified 27 prognostic lncRNAs related to ICD, and a unique risk signature using 10 ICD-related lncRNAs was constructed. The risk score was confirmed to be a reliable predictor of survival, with the highest c-index score. The signature had a remarkable predictive performance with clinical applicability and could accurately predict the overall survival in LUAD. Furthermore, the lncRNA signature was closely associated with immunocyte invasion. We also analyzed the correlation between the risk score, tumor-infiltrating immune cells, and prognosis and identified high immune and ESTIMATE scores in low-risk patients. Moreover, we observed elevated checkpoint gene expression and low TIDE scores in high-risk patients, indicating a good immunotherapy response. Finally, high-risk patients were shown to be susceptible to anticancer medications. Therefore, our unique risk signature comprising 10 ICD-related lncRNAs was demonstrated to indicate the characteristics of the tumor-immune microenvironment in LUAD, predict patients' overall survival, and guide individualized treatment.
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Affiliation(s)
- DONGJIE SUN
- Department of Translational Medicine, The First Hospital of Jilin University, Changchun, China
- College of Basic Medical Sciences, Jilin University, Changchun, China
| | - CHI ZHANG
- Department of Anesthesiology, The First Hospital of Jilin University, Changchun, China
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Gui Z, Du J, Wu N, Shen N, Yang Z, Yang H, Wang X, Zhao N, Zeng Z, Wei R, Ma W, Wang C. Immune regulation and prognosis indicating ability of a newly constructed multi-genes containing signature in clear cell renal cell carcinoma. BMC Cancer 2023; 23:649. [PMID: 37438709 DOI: 10.1186/s12885-023-11150-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 07/04/2023] [Indexed: 07/14/2023] Open
Abstract
BACKGROUND Clear cell renal cell carcinoma (ccRCC) is the most common renal malignancy, although newly developing targeted therapy and immunotherapy have been showing promising effects in clinical treatment, the effective biomarkers for immune response prediction are still lacking. The study is to construct a gene signature according to ccRCC immune cells infiltration landscape, thus aiding clinical prediction of patients response to immunotherapy. METHODS Firstly, ccRCC transcriptome expression profiles from Gene Expression Omnibus (GEO) database as well as immune related genes information from IMMPORT database were combine applied to identify the differently expressed meanwhile immune related candidate genes in ccRCC comparing to normal control samples. Then, based on protein-protein interaction network (PPI) and following module analysis of the candidate genes, a hub gene cluster was further identified for survival analysis. Further, LASSO analysis was applied to construct a signature which was in succession assessed with Kaplan-Meier survival, Cox regression and ROC curve analysis. Moreover, ccRCC patients were divided as high and low-risk groups based on the gene signature followed by the difference estimation of immune treatment response and exploration of related immune cells infiltration by TIDE and Cibersort analysis respectively among the two groups of patients. RESULTS Based on GEO and IMMPORT databases, a total of 269 differently expressed meanwhile immune related genes in ccRCC were identified, further PPI network and module analysis of the 269 genes highlighted a 46 genes cluster. Next step, Kaplan-Meier and Cox regression analysis of the 46 genes identified 4 genes that were supported to be independent prognosis indicators, and a gene signature was constructed based on the 4 genes. Furthermore, after assessing its prognosis indicating ability by both Kaplan-Meier and Cox regression analysis, immune relation of the signature was evaluated including its association with environment immune score, Immune checkpoint inhibitors expression as well as immune cells infiltration. Together, immune predicting ability of the signature was preliminary explored. CONCLUSIONS Based on ccRCC genes expression profiles and multiple bioinformatic analysis, a 4 genes containing signature was constructed and the immune regulation of the signature was preliminary explored. Although more detailed experiments and clinical trials are needed before potential clinical use of the signature, the results shall provide meaningful insight into further ccRCC immune researches.
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Affiliation(s)
- Ziwei Gui
- Department of Pathology, Second Clinical Medical College of ShanXi Medical University, Tai Yuan City, ShanXi Province, China
| | - Juan Du
- Department of Pathology, Second Clinical Medical College of ShanXi Medical University, Tai Yuan City, ShanXi Province, China
| | - Nan Wu
- Department of Anesthesiology, Second Hospital of ShanXi Medical University, Tai Yuan, ShanXi Province, China
| | - Ningning Shen
- Department of Pathology, Second Hospital of ShanXi Medical University, No.382 Wuyi Road, Tai Yuan, ShanXi Province, 030000, China
| | - Zhiqing Yang
- Department of Pathology, Second Hospital of ShanXi Medical University, No.382 Wuyi Road, Tai Yuan, ShanXi Province, 030000, China
| | - Huijun Yang
- Department of Pathology, Second Clinical Medical College of ShanXi Medical University, Tai Yuan City, ShanXi Province, China
| | - Xuzhi Wang
- Department of Pathology, Second Clinical Medical College of ShanXi Medical University, Tai Yuan City, ShanXi Province, China
| | - Na Zhao
- Department of Pathology, Second Hospital of ShanXi Medical University, No.382 Wuyi Road, Tai Yuan, ShanXi Province, 030000, China
| | - Zixin Zeng
- Department of Pathology, Second Clinical Medical College of ShanXi Medical University, Tai Yuan City, ShanXi Province, China
| | - Rong Wei
- Department of Pathology, Second Hospital of ShanXi Medical University, No.382 Wuyi Road, Tai Yuan, ShanXi Province, 030000, China
| | - Wenxia Ma
- Department of Pathology, Second Hospital of ShanXi Medical University, No.382 Wuyi Road, Tai Yuan, ShanXi Province, 030000, China.
| | - Chen Wang
- Department of Pathology, Second Hospital of ShanXi Medical University, No.382 Wuyi Road, Tai Yuan, ShanXi Province, 030000, China.
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Yan F, Mao C, Leung ELH, Luo L. Editorial: Progress of programmed cell death in antitumor immunity. Front Immunol 2023; 14:1230490. [PMID: 37377973 PMCID: PMC10291824 DOI: 10.3389/fimmu.2023.1230490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Affiliation(s)
- Fangfang Yan
- The First Clinical College, Guangdong Medical University, Zhanjiang, China
| | - Chao Mao
- Department of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Elaine Lai-Han Leung
- Cancer Center, Faculty of Health Science, Ministry of Education (MOE) Frontiers Science Center for Precision Oncology, University of Macau, Macau, Macau SAR, China
| | - Lianxiang Luo
- The Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, China
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Zong Y, Cao Y, Zhang D, Guan X, Zhang F, Shen Z, Yin F. Immunogenic cell death-related classifications guide prognosis and immunotherapy in osteosarcoma. Sci Rep 2023; 13:9118. [PMID: 37277499 DOI: 10.1038/s41598-023-35745-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 05/23/2023] [Indexed: 06/07/2023] Open
Abstract
Immunogenic cell death (ICD) is a form of cell death that stimulates the immune system to produce an immune response by releasing tumour-associated antigens and tumour-specific antigens and is considered to play an important role in tumour immunotherapy. In the present study, we identified two ICD-related subtypes in osteosarcoma (OS) by consensus clustering. The ICD-low subtype was associated with favourable clinical outcomes, abundant immune cell infiltration, and high activity of immune response signalling. We also established and validated an ICD-related prognostic model, which could not only be used to predict the overall survival of OS patients but was also found to be closely related to the tumour immune microenvironment of OS patients. Overall, we established a new classification system for OS based on ICD-related genes, which can be used to predict the prognosis of OS patients and to select appropriate immunotherapy drugs.
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Affiliation(s)
- Yuan Zong
- Department of Orthopedic Surgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin, People's Republic of China
| | - Yu Cao
- Department of Orthodontics, Hospital of Stomatology, Jilin University, No. 1500 Qinghua Street, Changchun, 130021, Jilin, People's Republic of China
| | - Ding Zhang
- Department of Orthopedic Surgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin, People's Republic of China
| | - Xiaoqing Guan
- Department of Orthopedic Surgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin, People's Republic of China
| | - Fengyi Zhang
- Department of Orthopedic Surgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin, People's Republic of China
| | - Zhubin Shen
- Department of Orthopedic Surgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin, People's Republic of China
| | - Fei Yin
- Department of Orthopedic Surgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin, People's Republic of China.
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Liu J, Shi Y, Zhang Y. Multi-omics identification of an immunogenic cell death-related signature for clear cell renal cell carcinoma in the context of 3P medicine and based on a 101-combination machine learning computational framework. EPMA J 2023; 14:275-305. [PMID: 37275552 PMCID: PMC10236109 DOI: 10.1007/s13167-023-00327-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 05/14/2023] [Indexed: 06/07/2023]
Abstract
Background Clear cell renal cell carcinoma (ccRCC) is a prevalent urological malignancy associated with a high mortality rate. The lack of a reliable prognostic biomarker undermines the efficacy of its predictive, preventive, and personalized medicine (PPPM/3PM) approach. Immunogenic cell death (ICD) is a specific type of programmed cell death that is tightly associated with anti-cancer immunity. However, the role of ICD in ccRCC remains unclear. Methods Based on AddModuleScore, single-sample gene set enrichment analysis (ssGSEA), and weighted gene co-expression network (WGCNA) analyses, ICD-related genes were screened at both the single-cell and bulk transcriptome levels. We developed a novel machine learning framework that incorporated 10 machine learning algorithms and their 101 combinations to construct a consensus immunogenic cell death-related signature (ICDRS). ICDRS was evaluated in the training, internal validation, and external validation sets. An ICDRS-integrated nomogram was constructed to provide a quantitative tool for predicting prognosis in clinical practice. Multi-omics analysis was performed, including genome, single-cell transcriptome, and bulk transcriptome, to gain a more comprehensive understanding of the prognosis signature. We evaluated the response of risk subgroups to immunotherapy and screened drugs that target specific risk subgroups for personalized medicine. Finally, the expression of ICD-related genes was validated by qRT-PCR. Results We identified 131 ICD-related genes at both the single-cell and bulk transcriptome levels, of which 39 were associated with overall survival (OS). A consensus ICDRS was constructed based on a 101-combination machine learning computational framework, demonstrating outstanding performance in predicting prognosis and clinical translation. ICDRS can also be used to predict the occurrence, development, and metastasis of ccRCC. Multivariate analysis verified it as an independent prognostic factor for OS, progression-free survival (PFS), and disease-specific survival (DSS) of ccRCC. The ICDRS-integrated nomogram provided a quantitative tool in clinical practice. Moreover, we observed distinct biological functions, mutation landscapes, and immune cell infiltration in the tumor microenvironment between the high- and low-risk groups. Notably, the immunophenoscore (IPS) score showed a significant difference between risk subgroups, suggesting a better response to immunotherapy in the high-risk group. Potential drugs targeting specific risk subgroups were also identified. Conclusion Our study constructed an immunogenic cell death-related signature that can serve as a promising tool for prognosis prediction, targeted prevention, and personalized medicine in ccRCC. Incorporating ICD into the PPPM framework will provide a unique opportunity for clinical intelligence and new management approaches. Supplementary Information The online version contains supplementary material available at 10.1007/s13167-023-00327-3.
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Affiliation(s)
- Jinsong Liu
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023 China
| | - Yanjia Shi
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023 China
| | - Yuxin Zhang
- School of Medicine & Holistic Integrative Medicine, Nanjing University of Chinese Medicine, Nanjing, 210023 China
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Zhuo J, Wang K, Shi Z, Yuan C. Immunogenic cell death-led discovery of COVID-19 biomarkers and inflammatory infiltrates. Front Microbiol 2023; 14:1191004. [PMID: 37228369 PMCID: PMC10203236 DOI: 10.3389/fmicb.2023.1191004] [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: 03/21/2023] [Accepted: 04/18/2023] [Indexed: 05/27/2023] Open
Abstract
Immunogenic cell death (ICD) serves a critical role in regulating cell death adequate to activate an adaptive immune response, and it is associated with various inflammation-related diseases. However, the specific role of ICD-related genes in COVID-19 remains unclear. We acquired COVID-19-related information from the GEO database and a total of 14 ICD-related differentially expressed genes (DEGs) were identified. These ICD-related DEGs were closely associated with inflammation and immune activity. Afterward, CASP1, CD4, and EIF2AK3 among the 14 DEGs were selected as feature genes based on LASSO, Random Forest, and SVM-RFE algorithms, which had reliable diagnostic abilities. Moreover, functional enrichment analysis indicated that these feature genes may have a potential role in COVID-19 by being involved in the regulation of immune response and metabolism. Further CIBERSORT analysis demonstrated that the variations in the immune microenvironment of COVID-19 patients may be correlated with CASP1, CD4, and EIF2AK3. Additionally, 33 drugs targeting 3 feature genes had been identified, and the ceRNA network demonstrated a complicated regulative association based on these feature genes. Our work identified that CASP1, CD4, and EIF2AK3 were diagnostic genes of COVID-19 and correlated with immune activity. This study presents a reliable diagnostic signature and offers an overview to investigate the mechanism of COVID-19.
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Affiliation(s)
- Jianzhen Zhuo
- Guangdong Medical University, Dongguan, Guangdong, China
- Clinical Laboratory, Boai Hospital of Zhongshan Affiliated to Southern Medical University, Zhongshan, China
| | - Ke Wang
- Clinical Laboratory, Boai Hospital of Zhongshan Affiliated to Southern Medical University, Zhongshan, China
| | - Zijun Shi
- Reproductive Medical Center, Boai Hospital of Zhongshan Affiliated to Southern Medical University, Zhongshan, China
| | - Chunlei Yuan
- Guangdong Medical University, Dongguan, Guangdong, China
- Clinical Laboratory, Boai Hospital of Zhongshan Affiliated to Southern Medical University, Zhongshan, China
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Li X, Kang J, Yue J, Xu D, Liao C, Zhang H, Zhao J, Liu Q, Jiao J, Wang L, Li G. Identification and validation of immunogenic cell death-related score in uveal melanoma to improve prediction of prognosis and response to immunotherapy. Aging (Albany NY) 2023; 15:3442-3464. [PMID: 37142279 PMCID: PMC10449274 DOI: 10.18632/aging.204680] [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: 02/13/2023] [Accepted: 04/17/2023] [Indexed: 05/06/2023]
Abstract
BACKGROUND Immunogenic cell death (ICD) could activate innate and adaptive immune response. In this work, we aimed to develop an ICD-related signature in uveal melanoma (UVM) patients and facilitate assessment of their prognosis and immunotherapy. METHODS A set of machine learning methods, including non-negative matrix factorization (NMF) method and least absolute shrinkage and selection operator (LASSO) logistic regression model, and bioinformatics analytic tools were integrated to construct an ICD-related risk score (ICDscore). CIBERSORT and ESTIMATE algorithms were used to evaluate the infiltration of immune cells. The Genomics of Drug Sensitivity in Cancer (GDSC), cellMiner and tumor immune dysfunction and exclusion (TIDE) databases were used for therapy sensitivity analyses. The predictive performance between ICDscore with other mRNA signatures was also compared. RESULTS The ICDscore could predict the prognosis of UVM patients in both the training and four validating cohorts. The ICDscore outperformed 19 previously published signatures. Patients with high ICDscore exhibited a substantial increase in immune cell infiltration and expression of immune checkpoint inhibitor-related genes, leading to a higher response rate to immunotherapy. Furthermore, the downregulation of poly (ADP-ribose) polymerase family member 8 (PARP8), a critical gene involved in the development of the ICDscore, resulted in decreased cell proliferation and slower migration of UVM cells. CONCLUSION In conclusion, we developed a robust and powerful ICD-related signature for evaluating the prognosis and benefits of immunotherapy that could serve as a promising tool to guide decision-making and surveillance for UVM patients.
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Affiliation(s)
- Xiaoyan Li
- Department of Central Laboratory, Shanxi Provincial People’s Hospital, Taiyuan, Shanxi, China
- Department of Blood Transfusion, Shanxi Provincial People’s Hospital, Taiyuan, Shanxi, China
| | - Jing Kang
- Department of Clinical Laboratory, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jing Yue
- Department of Clinical Laboratory, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Dawei Xu
- Department of Blood Transfusion, Shanxi Provincial People’s Hospital, Taiyuan, Shanxi, China
| | - Chunhua Liao
- Department of Physiotherapy and Rehabilitation, The Second Affiliated Hospital of Air Force Military Medical University, Xi'an, Shaanxi, China
| | - Huina Zhang
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Jin Zhao
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Qiongwen Liu
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Jinke Jiao
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Lin Wang
- Department of Geriatrics, Xijing Hospital, The Air Force Military Medical University, Xi'an, Shaanxi, China
| | - Guoyin Li
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
- Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, Xi’an, Shaanxi, China
- Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China
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Kuccukturk S, Karaselek MA, Duran T, Kursunlu AN, Ozmen M. Impacts of potential anticancer agents based on pillar[5]arene for head and neck squamous cell carcinoma cells. J Cancer Res Clin Oncol 2023:10.1007/s00432-023-04822-y. [PMID: 37126106 DOI: 10.1007/s00432-023-04822-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 04/25/2023] [Indexed: 05/02/2023]
Abstract
PURPOSE This study was conducted to investigate impacts of potential anticancer (associated with apoptosis and caspase pathways) of two newly synthesized derivatives of pillar[5]arene, named as d-Q-P5 and p-Q-P5, on Squamous cell carcinomas of the head and neck (HNSCC) cells. MATERIALS AND METHODS The MTT method was used to determine the IC50 doses of the derivatives on HNSCC cells, and the changes in gene expression were analyzed by real-time polymerase chain reaction (qPCR). The apoptosis change was confirmed by flow cytometry analysis. RESULTS The results showed that the d-Q-P5 and p-Q-P5 effectively inhibited the proliferation of the cells by upregulating proapoptotic genes (Bax, Bad, p53, Bak, and Apaf-1) and genes involved in the caspase pathway (Casp2, Casp3, and Casp9), while downregulating the antiapoptotic gene (Bcl-2). CONCLUSIONS This study is the first to demonstrate the potential anticancer effects of these two agents on HNSCC cells by positively regulating apoptosis gene expression.
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Affiliation(s)
- Serkan Kuccukturk
- Medicine Faculty, Department of Medical Biology, Karamanoglu Mehmetbey University, 70100, Karaman, Turkey
| | - Mehmet Ali Karaselek
- Meram School of Medicine, Department of Internal Medicine, Necmettin Erbakan University, 42080, Konya, Turkey
| | - Tugce Duran
- Medicine Faculty, Department of Medical Genetic, KTO Karatay University, 42020, Konya, Turkey
| | - Ahmed Nuri Kursunlu
- Science Faculty, Department of Chemistry, Selcuk University, 42250, Konya, Turkey
| | - Mustafa Ozmen
- Science Faculty, Department of Chemistry, Selcuk University, 42250, Konya, Turkey.
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Li G, Zhang H, Zhao J, Liu Q, Jiao J, Yang M, Wu C. Machine learning-based construction of immunogenic cell death-related score for improving prognosis and response to immunotherapy in melanoma. Aging (Albany NY) 2023; 15:2667-2688. [PMID: 37036471 PMCID: PMC10120887 DOI: 10.18632/aging.204636] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 03/24/2023] [Indexed: 04/09/2023]
Abstract
BACKGROUND Immunogenic cell death (ICD) is a form of regulated cell death (RCD) which could drive the activation of the innate and adaptive immune responses. In this work, we aimed to develop an ICD-related signature to facilitate the assessment of prognosis and immunotherapy response for melanoma patients. METHODS A set of machine learning methods, including consensus clustering, non-negative matrix factorization (NMF) method and least absolute shrinkage and selection operator (LASSO) logistic regression model, and bioinformatics analytic tools were integrated to construct an ICD-related risk score (ICDscore). CIBERSORT and ESTIMATE algorithm were used to evaluate the infiltration of immune cells. The 'pRRophetic' package in R and 6 cohorts of melanoma patients receiving immunotherapy were used for therapy sensitivity analyses. The predictive performance between ICDscore with other mRNA signatures were also compared. RESULTS The ICDscore could predict prognosis and immunotherapy response in multiple cohorts, and displayed superior performance than other forms of cell death-related signatures or 52 published signatures. The melanoma patients with low ICDscore were marked with high infiltration of immune cells, high expression of immune checkpoint inhibitor-related genes, and increased tumor mutation burden. CONCLUSIONS In conclusion, we constructed a stable and robust ICD-related signature for evaluating the prognosis and benefits of immunotherapy, and it could serve as a promising tool to guide decision-making and surveillance for individual melanoma patients.
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Affiliation(s)
- Guoyin Li
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
- Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, Xi’an, Shaanxi, China
- Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China
| | - Huina Zhang
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Jin Zhao
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Qiongwen Liu
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Jinke Jiao
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Mingsheng Yang
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
| | - Changjing Wu
- College of Life Science and Agronomy, Zhoukou Normal University, Zhoukou, Henan, China
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Zhang Z, Su D, Thakur A, Zhang K, Xia F, Yan Y. Immune cell death-related lncRNA signature as a predictive factor of clinical outcomes and immune checkpoints in gastric cancer. Front Pharmacol 2023; 14:1162995. [PMID: 37081965 PMCID: PMC10110873 DOI: 10.3389/fphar.2023.1162995] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 03/20/2023] [Indexed: 04/07/2023] Open
Abstract
Background: Immune cell death (ICD) is a type of tumor cell death that has recently been shown to activate and regulate tumor immunity. However, the role of ICD-related long non-coding RNAs (lncRNAs) in gastric cancer remains to be clarified.Methods: We obtained 375 tumor samples from the Cancer Genome Atlas (TCGA) database and randomly assigned them to training and verification groups. LASSO and Cox regression analysis were utilized to identify ICD-related lncRNAs and establish a risk model. The changes in the immune microenvironment of the two groups were compared by examining the tumor-infiltrating immune cells.Results: We established a tumor signature based on nine ICD-related lncRNAs. In light of the receiver operating characteristic and Kaplan–Meier curves, the prognostic values of this risk model were verified. Multivariate regression analysis showed that the risk score was an independent risk factor for the prognosis of patients in both the training cohort (HR 2.52; 95% CI: 1.65–3.87) and validation cohort (HR 2.70; 95% CI: 1.54–4.8). A nomogram was developed to predict the 1-, 3-, and 5-year survival of patients with gastric cancer, and the signature was linked to high levels of immunological checkpoint expression (B7-H3, VSIR).Conclusions: An ICD-related lncRNA signature could predict the immune response and prognosis of patients with gastric cancer. This prognostic signature could be employed to independently monitor the efficacy of immunotherapy for gastric cancer patients.
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Affiliation(s)
- Zeyu Zhang
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Duntao Su
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Abhimanyu Thakur
- Pritzker School of Molecular Engineering, Ben May Department for Cancer Research, University of Chicago, Chicago, IL, United States
| | - Kui Zhang
- State Key Laboratory of Silkworm Genome Biology, Medical Research Institute, Southwest University, Chongqing, China
| | - Fada Xia
- Department of General Surgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- *Correspondence: Fada Xia, ; Yuanliang Yan,
| | - Yuanliang Yan
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- *Correspondence: Fada Xia, ; Yuanliang Yan,
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Zhou S, Lu Y, Chen Y, Gan W. Identification of an immunogenic cell death-related gene signature predicts survival and sensitivity to immunotherapy in clear cell renal carcinoma. Sci Rep 2023; 13:4449. [PMID: 36932108 PMCID: PMC10023707 DOI: 10.1038/s41598-023-31493-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 03/13/2023] [Indexed: 03/19/2023] Open
Abstract
Immunogenic cell death (ICD) is the trigger of adaptive immune responses. However, the role of ICD-related genes in clear cell renal carcinoma (ccRCC) remains unclear. We aimed to identify biomarkers associated with ICD and develop an ICD-related predictive model that predicts the immune microenvironment, prognosis, and response to immunotherapy in ccRCC. Our study included 739 patients (603 in the training set and 136 in the validation set) with clinicopathologic information and transcriptome sequencing data. Consensus clustering, principal component analysis (PCA), weighted gene co-expression network analysis (WGCNA), univariate COX analysis, multivariate COX analysis, and the Lasso-Cox algorithm were applied to shrink predictors and construct a predictive signature of overall survival (OS). We used CIBERSORT, ESTIMATE, and TIMER in the R package IOBR to evaluate the tumor microenvironment and immune infiltration pattern of each sample. Finally, the single cell sequencing results of immune cells in ccRCC were used to verify the results of immune infiltration analysis, and the performance of the prognostic model was evaluated by calibration curves and c-index. This study revealed that inability of the initial immune response and primary immunodeficiency were significantly enriched in the ICD subgroup with poor prognosis. We found that the ten candidate ICD genes (CALR, ENTPD1, FOXP3, HSP90AA1, IFNB1, IFNG, IL6, LY96, PIK3CA, and TLR4) could affect the prognosis of ccRCC (p < 0.05). The prediction model (PRE) we constructed can not only predict the long-term survival probability but also evaluate the landscape of immune infiltration in ccRCC. Our study demonstrated that low infiltration of dendritic cells in ccRCC implies a poor prognosis, whereas the degree of CTL infiltration is less important. An individualized prediction model was created to predict the 1-, 2-, 3-, and 5-year survival and responsiveness of ccRCC patients to immunotherapy, which may serve as a potent tool for clinicians to make better treatment decisions and thus improve the overall survival (OS) of ccRCC patients in the future.
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Affiliation(s)
- Shuoming Zhou
- Department of Urology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yanwen Lu
- Department of Urology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Yuxin Chen
- Department of Urology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China
| | - Weidong Gan
- Department of Urology, Affiliated Drum Tower Hospital, Medical School of Nanjing University, Nanjing, China.
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Xue Y, Jiang X, Wang J, Zong Y, Yuan Z, Miao S, Mao X. Effect of regulatory cell death on the occurrence and development of head and neck squamous cell carcinoma. Biomark Res 2023; 11:2. [PMID: 36600313 PMCID: PMC9814270 DOI: 10.1186/s40364-022-00433-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/08/2022] [Indexed: 01/06/2023] Open
Abstract
Head and neck cancer is a malignant tumour with a high mortality rate characterized by late diagnosis, high recurrence and metastasis rates, and poor prognosis. Head and neck squamous cell carcinoma (HNSCC) is the most common type of head and neck cancer. Various factors are involved in the occurrence and development of HNSCC, including external inflammatory stimuli and oncogenic viral infections. In recent years, studies on the regulation of cell death have provided new insights into the biology and therapeutic response of HNSCC, such as apoptosis, necroptosis, pyroptosis, autophagy, ferroptosis, and recently the newly discovered cuproptosis. We explored how various cell deaths act as a unique defence mechanism against cancer emergence and how they can be exploited to inhibit tumorigenesis and progression, thus introducing regulatory cell death (RCD) as a novel strategy for tumour therapy. In contrast to accidental cell death, RCD is controlled by specific signal transduction pathways, including TP53 signalling, KRAS signalling, NOTCH signalling, hypoxia signalling, and metabolic reprogramming. In this review, we describe the molecular mechanisms of nonapoptotic RCD and its relationship to HNSCC and discuss the crosstalk between relevant signalling pathways in HNSCC cells. We also highlight novel approaches to tumour elimination through RCD.
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Affiliation(s)
- Yuting Xue
- grid.412651.50000 0004 1808 3502Department of Head and Neck Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Xuejiao Jiang
- grid.24696.3f0000 0004 0369 153XBeijing Key Lab of TCM Collateral Disease Theory Research, School of Traditional Chinese Medicine, Capital Medical University, Beijing, China
| | - Junrong Wang
- grid.412651.50000 0004 1808 3502Department of Head and Neck Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Yuxuan Zong
- Department of Breast Surgery, The First of hospital of Qiqihar, Qiqihar, China
| | - Zhennan Yuan
- grid.412651.50000 0004 1808 3502Department of Head and Neck Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Susheng Miao
- grid.412651.50000 0004 1808 3502Department of Head and Neck Surgery, Harbin Medical University Cancer Hospital, Harbin, China
| | - Xionghui Mao
- grid.412651.50000 0004 1808 3502Department of Head and Neck Surgery, Harbin Medical University Cancer Hospital, Harbin, China
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The Role of Extracellular Vesicles in Diseases of the Ear, Nose, and Throat. Med Sci (Basel) 2022; 11:medsci11010006. [PMID: 36649043 PMCID: PMC9844415 DOI: 10.3390/medsci11010006] [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: 11/23/2022] [Revised: 12/21/2022] [Accepted: 12/23/2022] [Indexed: 12/29/2022] Open
Abstract
Extracellular vesicles (EVs) are membranous nanoparticles produced by most cell types into the extracellular space and play an important role in cell-to-cell communication. Historically, EVs were categorized based on their methods of biogenesis and size into three groups: exosomes, microvesicles, and apoptotic bodies. Most recently, EV nomenclature has evolved to categorize these nanoparticles based on their size, surface markers, and/or the cell type which secreted them. Many techniques have been adopted in recent years which leverage these characteristics to isolate them from cell culture media and biological fluids. EVs carry various "cargo", including DNA, RNA, proteins, and small signaling molecules. After isolation, EVs can be characterized by various methods to analyze their unique cargo profiles which define their role in cell-to-cell communication, normal physiology, and disease progression. The study of EV cargo has become more common recently as we continue to delineate their role in various human diseases. Further understanding these mechanisms may allow for the future use of EVs as novel biomarkers and therapeutic targets in diseases. Furthermore, their unique cargo delivery mechanisms may one day be exploited to selectively deliver therapeutic agents and drugs. Despite the growing research interest in EVs, limited studies have focused on the role of EVs in the diseases of the ear, nose, and throat. In this review, we will introduce EVs and their cargo, discuss methods of isolation and characterization, and summarize the most up-to-date literature thus far into the role of EVs in diseases of the ear, nose, and throat.
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Liu Y, Lin W, Yang Y, Shao J, Zhao H, Wang G, Shen A. Role of cuproptosis-related gene in lung adenocarcinoma. Front Oncol 2022; 12:1080985. [PMID: 36620594 PMCID: PMC9811388 DOI: 10.3389/fonc.2022.1080985] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
Backgrounds Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer, which is the leading cause of cancer death. Dysregulation of cell proliferation and death plays a crucial role in the development of LUAD. As of recently, the role of a new form of cell death, cuproptosis, and it has attracted more and more attention. As of yet, it is not clear whether cuproptosis is involved in the progression of LUAD. Methods An integrated set of bioinformatics tools was utilized to analyze the expression and prognostic significance of cuproptosis-related genes. Meanwhile, a robust risk signature was developed using machine learning based on prognostic cuproptosis-related genes and explored the value of prognostic cuproptosis-related signature for clinical applications, functional enrichment and immune landscape. Lastly, the dysregulation of the cuproptosis-related genes in LUAD was validated by in vitro experiment. Results In this study, first, cuproptosis-related genes were found to be differentially expressed in LUAD patients of public databases, and nine of them had prognostic value. Next, a cuproptosis-related model with five features (DLTA, MTF1, GLS, PDHB and PDHA1) was constructed to separate the patients into high- and low-risk groups based on median risk score. Internal validation set and external validation set were used for model validation and evaluation. What's more, Enrichment analysis of differential genes and the WGCNA identified that cuproptosis-related signatures affected tumor prognosis by influencing tumor immunity. Small molecule compounds were predicted based on differential expressed genes to improve poor prognosis in the high-risk group and a nomogram was constructed to further advance clinical applications. In closing, our data showed that FDX1 affected the prognosis of lung cancer by altering the expression of cuproptosis-related signature. Conclusion A new cuproptosis-related signature for survival prediction was constructed and validated by machine learning algorithm and in vitro experiments to reflect tumor immune infiltration in LUAD patients. The purpose of this article was to provide a potential diagnostic and therapeutic strategy for LUAD.
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Affiliation(s)
- Yuan Liu
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
| | - Wei Lin
- Department of Pediatrics, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Ying Yang
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
| | - JingJing Shao
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
| | - Hongyu Zhao
- Department of Radiotherapy, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China
| | - Gaoren Wang
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China
| | - Aiguo Shen
- Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China,*Correspondence: Aiguo Shen,
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Ma J, Kuang L, Zhao R. Establishing a signature based on immunogenic cell death-related gene pairs to predict immunotherapy and survival outcomes of patients with hepatocellular carcinoma. Aging (Albany NY) 2022; 14:9699-9714. [PMID: 36516498 PMCID: PMC9792212 DOI: 10.18632/aging.204419] [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: 08/17/2022] [Accepted: 11/23/2022] [Indexed: 12/23/2022]
Abstract
Immunogenic cell death (ICD) is a type of regulated cell death (RCD) triggered by various stresses that are involved in activating the immune system against cancer in immunocompetent hosts. However, no previous study has investigated the regulation of ICD-related gene pairs involved in hepatocellular carcinoma (HCC). A prognostic signature composed of 8 ICD-related gene pairs was generated that was capable of reliably separating patients with HCC into low- and high-risk subgroups with differing overall survival rates. Significant correlations were observed between risk score and surgical procedure, vascular tumor cell type, recurrence status, tumor status, and stages. The risk score was confirmed to be an independent prognostic factor for HCC and subsequently was employed to construct a prognostic nomogram. Low-risk patients were characterized by higher levels of immune cell infiltration, lower stromal and immune scores, higher tumor purity, higher expression of most immune checkpoints, and higher tumor mutational burden (TMB), revealing different levels of immunological functional pathways between different risk HCC patient cohorts. Furthermore, immunophenoscore (IPS) and Tumor Immune Dysfunction and Exclusion (TIDE) scores demonstrated that patients in the low-risk group are more likely to be sensitive to immunotherapy. In conclusion, the signature conducted by ICD-related gene pairs is a promising biomarker for the prediction of HCC patient outcomes and immunotherapeutic responses.
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Affiliation(s)
- Jianying Ma
- Department of Breast Surgery, Thyroid Surgery, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi, Hubei 435000, People’s Republic of China
| | - Lianghong Kuang
- Department of Neurology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi, Hubei 435000, People’s Republic of China
| | - Rong Zhao
- Department of Anesthesiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi, Hubei 435000, People’s Republic of China
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Liu Z, Liu B, Feng C, Li C, Wang H, Zhang H, Liu P, Li Z, He S, Tu C. Molecular characterization of immunogenic cell death indicates prognosis and tumor microenvironment infiltration in osteosarcoma. Front Immunol 2022; 13:1071636. [PMID: 36569869 PMCID: PMC9780438 DOI: 10.3389/fimmu.2022.1071636] [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: 10/16/2022] [Accepted: 11/25/2022] [Indexed: 12/13/2022] Open
Abstract
Introduction Osteosarcoma (OS) is a highly aggressive bone malignancy with a poor prognosis, mainly in children and adolescents. Immunogenic cell death (ICD) is classified as a type of programmed cell death associated with the tumor immune microenvironment, prognosis, and immunotherapy. However, the feature of the ICD molecular subtype and the related tumor microenvironment (TME) and immune cell infiltration has not been carefully investigated in OS. Methods The ICD-related genes were extracted from previous studies, and the RNA expression profiles and corresponding data of OS were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus database. The ICD-related molecular subtypes were classed by the "ConsensusclusterPlus" package and the construction of ICD-related signatures through univariate regression analysis. ROC curves, independent analysis, and internal validation were used to evaluate signature performance. Moreover, a series of bioinformatic analyses were used for Immunotherapy efficacy, tumor immune microenvironments, and chemotherapeutic drug sensitivity between the high- and low-risk groups. Results Herein, we identified two ICD-related subtypes and found significant heterogeneity in clinical prognosis, TME, and immune response signaling among distinct ICD subtypes. Subsequently, a novel ICD-related prognostic signature was developed to determine its predictive performance in OS. Also, a highly accurate nomogram was then constructed to improve the clinical applicability of the novel ICD-related signature. Furthermore, we observed significant correlations between ICD risk score and TME, immunotherapy response, and chemotherapeutic drug sensitivity. Notably, the in vitro experiments further verified that high GALNT14 expression is closely associated with poor prognosis and malignant progress of OS. Discussion Hence, we identified and validated that the novel ICD-related signature could serve as a promising biomarker for the OS's prognosis, chemotherapy, and immunotherapy response prediction, providing guidance for personalized and accurate immunotherapy strategies for OS.
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Affiliation(s)
- Zhongyue Liu
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Binfeng Liu
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chengyao Feng
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Chenbei Li
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Hua Wang
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Haixia Zhang
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Ping Liu
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Zhihong Li
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Shasha He
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China,*Correspondence: Shasha He, ; Chao Tu,
| | - Chao Tu
- Department of Orthopaedics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China,Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China,*Correspondence: Shasha He, ; Chao Tu,
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Tong X, Tang R, Xiao M, Xu J, Wang W, Zhang B, Liu J, Yu X, Shi S. Targeting cell death pathways for cancer therapy: recent developments in necroptosis, pyroptosis, ferroptosis, and cuproptosis research. J Hematol Oncol 2022; 15:174. [PMID: 36482419 PMCID: PMC9733270 DOI: 10.1186/s13045-022-01392-3] [Citation(s) in RCA: 218] [Impact Index Per Article: 109.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 11/30/2022] [Indexed: 12/13/2022] Open
Abstract
Many types of human cells self-destruct to maintain biological homeostasis and defend the body against pathogenic substances. This process, called regulated cell death (RCD), is important for various biological activities, including the clearance of aberrant cells. Thus, RCD pathways represented by apoptosis have increased in importance as a target for the development of cancer medications in recent years. However, because tumor cells show avoidance to apoptosis, which causes treatment resistance and recurrence, numerous studies have been devoted to alternative cancer cell mortality processes, namely necroptosis, pyroptosis, ferroptosis, and cuproptosis; these RCD modalities have been extensively studied and shown to be crucial to cancer therapy effectiveness. Furthermore, evidence suggests that tumor cells undergoing regulated death may alter the immunogenicity of the tumor microenvironment (TME) to some extent, rendering it more suitable for inhibiting cancer progression and metastasis. In addition, other types of cells and components in the TME undergo the abovementioned forms of death and induce immune attacks on tumor cells, resulting in enhanced antitumor responses. Hence, this review discusses the molecular processes and features of necroptosis, pyroptosis, ferroptosis, and cuproptosis and the effects of these novel RCD modalities on tumor cell proliferation and cancer metastasis. Importantly, it introduces the complex effects of novel forms of tumor cell death on the TME and the regulated death of other cells in the TME that affect tumor biology. It also summarizes the potential agents and nanoparticles that induce or inhibit novel RCD pathways and their therapeutic effects on cancer based on evidence from in vivo and in vitro studies and reports clinical trials in which RCD inducers have been evaluated as treatments for cancer patients. Lastly, we also summarized the impact of modulating the RCD processes on cancer drug resistance and the advantages of adding RCD modulators to cancer treatment over conventional treatments.
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Affiliation(s)
- Xuhui Tong
- grid.452404.30000 0004 1808 0942Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Rong Tang
- grid.452404.30000 0004 1808 0942Shanghai Pancreatic Cancer Institute, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Mingming Xiao
- grid.452404.30000 0004 1808 0942Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jin Xu
- grid.452404.30000 0004 1808 0942Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Wang
- grid.452404.30000 0004 1808 0942Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bo Zhang
- grid.452404.30000 0004 1808 0942Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jiang Liu
- grid.452404.30000 0004 1808 0942Shanghai Pancreatic Cancer Institute, No. 270 Dong’An Road, Shanghai, 200032 China ,grid.8547.e0000 0001 0125 2443Pancreatic Cancer Institute, Fudan University, Shanghai, China
| | - Xianjun Yu
- Shanghai Pancreatic Cancer Institute, No. 270 Dong'An Road, Shanghai, 200032, China. .,Pancreatic Cancer Institute, Fudan University, Shanghai, China.
| | - Si Shi
- Department of Pancreatic Surgery, Fudan University Shanghai Cancer Center, No. 270 Dong'An Road, Shanghai, 200032, China. .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Upregulated Immunogenic Cell-Death-Associated Gene Signature Predicts Reduced Responsiveness to Immune-Checkpoint-Blockade Therapy and Poor Prognosis in High-Grade Gliomas. Cells 2022; 11:cells11223655. [PMID: 36429083 PMCID: PMC9688114 DOI: 10.3390/cells11223655] [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: 09/23/2022] [Revised: 10/30/2022] [Accepted: 11/11/2022] [Indexed: 11/19/2022] Open
Abstract
Background: Immunogenic cell death (ICD) has emerged as a potential mechanism mediating adaptive immune response and tumor immunity in anti-cancer treatment. However, the signature of ICD in high-grade gliomas (HGGs) remains largely unknown, and its relevance to immunotherapies is still undetermined. The purpose of this study is to identify ICD-associated genotypes in order to explore their relevance to tumor immunity, patient prognosis and therapeutic efficacy of immune checkpoint blockade (ICB) therapy in HGGs. Methods: Bulk RNA-seq data and clinical information on 169 and 297 patients were obtained from the Cancer Genome Atlas (TCGA) and China Glioma Genome Atlas (CGGA), respectively. The functional enrichment and characterization of ICD genotyping were detected, and the ICD prognostic signature prediction model was constructed using least absolute shrinkage and selection operator (LASSO) regression. The responsiveness to immunotherapy was predicted according to the scoring of the ICD prognostic signature. Results: The HGG patients with high ICD gene signature (C1) showed poor outcomes, increased activity of immune modulation and immune escape, high levels of immune-checkpoint markers, and HLA-related genes, which may explain their reduced response to ICB immunotherapy. A gene set of the ICD signature, composing FOXP3, IL6 LY96, MYD88 and PDIA3, showed an independent prognostic value in both the TCGA and the CGGA HGG cohort. Conclusions: Our in silico analyses identified the ICD gene signature in HGGs with potential implications for predicting the responsiveness to ICB immune therapy and patient outcomes.
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Zhang W, Liu T, Jiang L, Chen J, Li Q, Wang J. Immunogenic cell death-related gene landscape predicts the overall survival and immune infiltration status of ovarian cancer. Front Genet 2022; 13:1001239. [PMID: 36425071 PMCID: PMC9679378 DOI: 10.3389/fgene.2022.1001239] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Accepted: 10/26/2022] [Indexed: 11/10/2022] Open
Abstract
Background: Ovarian cancer (OC) is the most troubling malignant tumor of the female reproductive system. It has a low early diagnosis rate and a high tumor recurrence rate after treatment. Immunogenic cell death (ICD) is a unique form of regulated cell death that can activate the adaptive immune system through the release of DAMPs and cytokines in immunocompromised hosts and establish long-term immunologic memory. Therefore, this study aims to explore the prognostic value and underlying mechanisms of ICD-related genes in OC on the basis of characteristics. Methods: The gene expression profiles and related clinical information of OC were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. ICD-related genes were collected from the Genecards database. ICD-related prognostic genes were obtained by intersecting ICD-related genes with the OC prognostic-related genes that were analyzed in the TCGA database. Functional enrichment, genetic mutation, and immune infiltration correlation analyses were further performed to identify underlying mechanisms. Subsequently, we developed a TCGA cohort-based prognostic risk model that included a nine-gene signature through univariate and multivariate Cox regression and LASSO regression analyses. Meanwhile, external validation was performed on two sets of GEO cohorts and the TCGA training cohort for three other common tumors in women. In addition, a nomogram was established by integrating clinicopathological features and ICD-related gene signature to predict survival probability. Finally, functional enrichment and immune infiltration analyses were performed on the two risk subgroups. Results: By utilizing nine genes (ERBB2, RB1, CCR7, CD38, IFNB1, ANXA2, CXCL9, SLC9A1, and SLAMF7), we constructed an ICD-related prognostic signature. Subsequently, patients were subdivided into high- and low-risk subgroups in accordance with the median value of the risk score. In multivariate Cox regression analyses, risk score was an independent prognostic factor (hazard ratio = 2.783; p < 0.01). In the TCGA training cohort and the two GEO validation cohorts, patients with high-risk scores had worse prognosis than those with low-risk scores (p < 0.05). The time-dependent receiver operating characteristic curve further validated the prognostic power of the gene signature. Finally, gene set enrichment analysis indicated that multiple oncological pathways were significantly enriched in the high-risk subgroup. By contrast, the low-risk subgroup was strongly related to the immune-related signaling pathways. Immune infiltration analysis further illustrated that most immune cells showed higher levels of infiltration in the low-risk subgroup than in the high-risk subgroup. Conclusion: We constructed a novel ICD-related gene model for forecasting the prognosis and immune infiltration status of patients with OC. In the future, new ICD-related genes may provide novel potential targets for the therapeutic intervention of OC.
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Ding D, Zhao Y, Su Y, Yang H, Wang X, Chen L. Prognostic value of antitumor drug targets prediction using integrated bioinformatic analysis for immunogenic cell death-related lncRNA model based on stomach adenocarcinoma characteristics and tumor immune microenvironment. Front Pharmacol 2022; 13:1022294. [PMID: 36313374 PMCID: PMC9614277 DOI: 10.3389/fphar.2022.1022294] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/22/2022] [Indexed: 01/05/2023] Open
Abstract
Stomach adenocarcinoma (STAD) ranks as the fourth prevalent cause of mortality worldwide due to cancer. The prognosis for those suffering from STAD was bleak. Immunogenic cell death (ICD), a form of induced cellular death that causes an adaptive immune response and has increasing in anticancer treatment. However, it has not been ascertained how ICD-related lncRNAs affect STAD. Using univariate Cox regression and the TCGA database, lncRNAs with prognostic value were identified. Thereafter, we created a prognostic lncRNA-based model using LASSO. Kaplan-Meier assessment, time-dependent receiver operating characteristic (ROC) analyzation, independent prognostic investigation, and nomogram were used to assess model correctness. Additional research included evaluations of the immunological microenvironment, gene set enrichment analyses (GSEA), tumor mutation burdens (TMBs), tumor immune dysfunctions and exclusions (TIDEs), and antitumor compounds IC50 predictions. We found 24 ICD-related lncRNAs with prognostic value via univariate Cox analysis (p < 0.05). Subsequently, a risk model was proposed using five lncRNAs relevant to ICD. The risk signature, correlated with immune cell infiltration, had strong predictive performance. Individuals at low-risk group outlived those at high risk (p < 0.001). An evaluation of the 5-lncRNA risk mode including ROC curves, nomograms, and correction curves confirmed its predictive capability. The findings of functional tests revealed a substantial alteration in immunological conditions and the IC50 sensitivity for the two groups. Using five ICD-related lncRNAs, the authors developed a new risk model for STAD patients that could predict their cumulative overall survival rate and guide their individual treatment.
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Affiliation(s)
- Dayong Ding
- Department of Gastrointestinal and Colorectal Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Yan Zhao
- Department of Operating Room, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Yanzhuo Su
- Department of Gastrointestinal and Colorectal Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Huaixi Yang
- Department of Gastrointestinal and Colorectal Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Xuefeng Wang
- Department of Gastrointestinal and Colorectal Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Lin Chen
- Department of Gastrointestinal and Colorectal Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
- *Correspondence: Lin Chen,
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