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Mao S, Zhao Y, Xiong H, Gong C. Excavating regulated cell death signatures to predict prognosis, tumor microenvironment and therapeutic response in HR+/HER2- breast cancer. Transl Oncol 2024; 50:102117. [PMID: 39241556 DOI: 10.1016/j.tranon.2024.102117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Revised: 07/25/2024] [Accepted: 09/02/2024] [Indexed: 09/09/2024] Open
Abstract
Regulated cell death (RCD) has been documented to have great potentials for discovering novel biomarkers and therapeutic targets in malignancies. But its role and clinical value in HR+/HER2- breast cancer, the most common subtype of breast cancer, are obscure. In this study, we comprehensively explored 12 types of RCD patterns and found extensive mutations and dysregulations of RCD genes in HR+/HER2- breast cancer. A prognostic RCD scoring system (CDScore) based on six critical genes (LEF1, SLC7A11, SFRP1, IGFBP6, CXCL2, STXBP1) was constructed, in which a high CDScore predicts poor prognosis. The expressions and prognostic value of LEF1 and SFRP1were also validated in our tissue microarrays. The nomogram established basing on CDScore, age and TNM stage performed satisfactory in predicting overall survival, with an area under the ROC curve of 0.89, 0.82 and 0.8 in predicting 1-year, 3-year and 5-year overall survival rates, respectively. Furthermore, CDScore was identified to be correlated with tumor microenvironments and immune checkpoints by excavation of bulk and single-cell sequencing data. Patients in CDScore high group might be resistant to standard chemotherapy and target therapy. Our results underlined the potential effects and importance of RCD in HR+/HER2- breast cancer and provided novel biomarkers and therapeutic targets for HR+/HER2- breast cancer patients.
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Affiliation(s)
- Shuangshuang Mao
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Yuanyuan Zhao
- Department of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Huihua Xiong
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Chen Gong
- Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
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Zhao F, Su L, Wang X, Luan J, Zhang X, Li Y, Li S, Hu L. Molecular map of disulfidptosis-related genes in lung adenocarcinoma: the perspective toward immune microenvironment and prognosis. Clin Epigenetics 2024; 16:26. [PMID: 38342890 PMCID: PMC10860275 DOI: 10.1186/s13148-024-01632-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: 06/24/2023] [Accepted: 01/18/2024] [Indexed: 02/13/2024] Open
Abstract
BACKGROUND Disulfidptosis is a recently discovered form of programmed cell death that could impact cancer development. Nevertheless, the prognostic significance of disulfidptosis-related genes (DRGs) in lung adenocarcinoma (LUAD) requires further clarification. METHODS This study systematically explores the genetic and transcriptional variability, prognostic relevance, and expression profiles of DRGs. Clusters related to disulfidptosis were identified through consensus clustering. We used single-sample gene set enrichment analysis and ESTIMATE to assess the tumor microenvironment (TME) in different subgroups. We conducted a functional analysis of differentially expressed genes between subgroups, which involved gene ontology, the Kyoto encyclopedia of genes and genomes, and gene set variation analysis, in order to elucidate their functional status. Prognostic risk models were developed using univariate Cox regression and the least absolute shrinkage and selection operator regression. Additionally, single-cell clustering and cell communication analysis were conducted to enhance the understanding of the importance of signature genes. Lastly, qRT-PCR was employed to validate the prognostic model. RESULTS Two clearly defined DRG clusters were identified through a consensus-based, unsupervised clustering analysis. Observations were made concerning the correlation between changes in multilayer DRG and various clinical characteristics, prognosis, and the infiltration of TME cells. A well-executed risk assessment model, known as the DRG score, was developed to predict the prognosis of LUAD patients. A high DRG score indicates increased TME cell infiltration, a higher mutation burden, elevated TME scores, and a poorer prognosis. Additionally, the DRG score showed a significant correlation with the tumor mutation burden score and the tumor immune dysfunction and exclusion score. Subsequently, a nomogram was established for facilitating the clinical application of the DRG score, showing good predictive ability and calibration. Additionally, crucial DRGs were further validated by single-cell sequencing data. Finally, crucial DRGs were further validated by qRT-PCR and immunohistochemistry. CONCLUSION Our new DRG signature risk score can predict the immune landscape and prognosis of LUAD. It also serves as a reference for LUAD's immunotherapy and chemotherapy.
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Affiliation(s)
- Fangchao Zhao
- Department of Thoracic Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, People's Republic of China
| | - Lei Su
- Department of Radiation Oncology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei, People's Republic of China
| | - Xuefeng Wang
- Department of Radiation Oncology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei, People's Republic of China
| | - Jiusong Luan
- Pulmonary and Critical Care Medicine, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei, People's Republic of China
| | - Xin Zhang
- Department of Radiation Oncology, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei, People's Republic of China
| | - Yishuai Li
- Department of Thoracic Surgery, Hebei Chest Hospital, Shijiazhuang, 050000, Hebei, People's Republic of China.
| | - Shujun Li
- Department of Thoracic Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, Hebei, People's Republic of China.
| | - Ling Hu
- Department of Medical Oncology, Hebei Key Laboratory of Cancer Radiotherapy and Chemotherapy, Affiliated Hospital of Hebei University, Baoding, 071000, Hebei, People's Republic of China.
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Wang H, Zhu X, Zhao F, Guo P, Li J, Du J, Shan G, Li Y, Li J. Integrative analysis of single-cell and bulk RNA-sequencing data revealed disulfidptosis genes-based molecular subtypes and a prognostic signature in lung adenocarcinoma. Aging (Albany NY) 2024; 16:2753-2773. [PMID: 38319721 PMCID: PMC10911368 DOI: 10.18632/aging.205509] [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: 04/18/2023] [Accepted: 11/02/2023] [Indexed: 02/07/2024]
Abstract
BACKGROUND Disulfidoptosis is an unconventional form of programmed cell death that distinguishes itself from well-established cell death pathways like ferroptosis, pyroptosis, and necroptosis. METHODS Initially, we conducted a single-cell analysis of the GSE131907 dataset from the GEO database to identify disulfidoptosis-related genes (DRGs). We utilized differentially expressed DRGs to classify TCGA samples with an unsupervised clustering algorithm. Prognostic models were built using Cox regression and LASSO regression. RESULTS Two DRG-related clusters (C1 and C2) were identified based on the DEGs from single-cell sequencing data analysis. In comparison to C1, C2 exhibited significantly worse overall prognosis, along with lower expression levels of immune checkpoint genes (ICGs) and chemoradiotherapy sensitivity-related genes (CRSGs). Furthermore, C2 displayed a notable enrichment in metabolic pathways and cell cycle-associated mechanisms. C2 was also linked to the development and spread of tumors. We created a prognostic risk model known as the DRG score, which relies on the expression levels of five DRGs. Patients were categorized into high-risk and low-risk groups depending on their DRG score, with the former group being linked to a poorer prognosis and higher TMB score. Moreover, the DRG score displayed significant correlations with CRSGs, ICGs, the tumor immune dysfunction and exclusion (TIDE) score, and chemotherapeutic sensitivity. Subsequently, we identified a significant correlation between the DRG score and monocyte macrophages. Additionally, crucial DRGs were additionally validated using qRT-PCR. CONCLUSIONS Our new DRG score can predict the immune landscape and prognosis of LUAD, serving as a reference for immunotherapy and chemotherapy.
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Affiliation(s)
- Haixia Wang
- Department of Radiation Oncology, The Fifth Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou People’s Hospital, Zhengzhou 450003, China
| | - Xuemei Zhu
- Department of Ultrasound, Jurong Hospital Affiliated to Jiangsu University, Zhenjiang 212000, China
| | - Fangchao Zhao
- Department of Thoracic Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China
| | - Pengfei Guo
- Department of Thoracic Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China
| | - Jing Li
- Department of Thoracic Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China
| | - Jingfang Du
- Department of Clinical Medicine, Hebei University of Engineering, Handan 056002, China
| | - Guoyong Shan
- Department of Radiation Oncology, The Fifth Clinical Medical College of Henan University of Chinese Medicine, Zhengzhou People’s Hospital, Zhengzhou 450003, China
| | - Yishuai Li
- Department of Thoracic Surgery, Hebei Chest Hospital, Shijiazhuang 050000, China
| | - Juan Li
- School of Nursing, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian 271000, China
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Li S, Wang A, Wu Y, He S, Shuai W, Zhao M, Zhu Y, Hu X, Luo Y, Wang G. Targeted therapy for non-small-cell lung cancer: New insights into regulated cell death combined with immunotherapy. Immunol Rev 2024; 321:300-334. [PMID: 37688394 DOI: 10.1111/imr.13274] [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] [Indexed: 09/10/2023]
Abstract
Non-small-cell lung cancer (NSCLC), which has a high rate of metastatic spread and drug resistance, is the most common subtype of lung cancer. Therefore, NSCLC patients have a very poor prognosis and a very low chance of survival. Human cancers are closely linked to regulated cell death (RCD), such as apoptosis, autophagy, ferroptosis, pyroptosis, and necroptosis. Currently, small-molecule compounds targeting various types of RCD have shown potential as anticancer treatments. Moreover, RCD appears to be a specific part of the antitumor immune response; hence, the combination of RCD and immunotherapy might increase the inhibitory effect of therapy on tumor growth. In this review, we summarize small-molecule compounds used for the treatment of NSCLC by focusing on RCD and pharmacological systems. In addition, we describe the current research status of an immunotherapy combined with an RCD-based regimen for NSCLC, providing new ideas for targeting RCD pathways in combination with immunotherapy for patients with NSCLC in the future.
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Affiliation(s)
- Shutong Li
- Department of Rheumatology & Immunology, Laboratory of Rheumatology & Immunology, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Aoxue Wang
- Department of Rheumatology & Immunology, Laboratory of Rheumatology & Immunology, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Yongya Wu
- Department of Rheumatology & Immunology, Laboratory of Rheumatology & Immunology, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Shengyuan He
- Department of Rheumatology & Immunology, Laboratory of Rheumatology & Immunology, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Wen Shuai
- Department of Rheumatology & Immunology, Laboratory of Rheumatology & Immunology, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Min Zhao
- Department of Rheumatology & Immunology, Laboratory of Rheumatology & Immunology, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Yumeng Zhu
- Department of Rheumatology & Immunology, Laboratory of Rheumatology & Immunology, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Xiuying Hu
- Department of Rheumatology & Immunology, Laboratory of Rheumatology & Immunology, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Yubin Luo
- Department of Rheumatology & Immunology, Laboratory of Rheumatology & Immunology, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
| | - Guan Wang
- Department of Rheumatology & Immunology, Laboratory of Rheumatology & Immunology, Innovation Center of Nursing Research, Nursing Key Laboratory of Sichuan Province, State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, China
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You L, Xin Z, Zhou X, Na F, Zhou J, Ying B. Diverse regulated cell death modes predict the immune microenvironment and drug sensitivity in lung adenocarcinoma. J Cell Physiol 2023; 238:2570-2585. [PMID: 37842875 DOI: 10.1002/jcp.31109] [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: 06/28/2023] [Revised: 08/05/2023] [Accepted: 08/16/2023] [Indexed: 10/17/2023]
Abstract
Integrated action modes of regulated cell death (RCD) in lung adenocarcinoma (LUAD) have not been comprehensively dissected. Here, we adopted 15 RCD modes, including 1350 related genes, and established RCD signature scores. We found that LUAD patients with high RCD scores had a significantly worse prognosis in all four different cohorts (TCGA, KM-plotter, GSE31210, and GSE30219). Our nomogram established based on the RCD score and clinical characteristics performed well in both the discovery and validation sets. There was a close correlation between the RCD scores and LUAD molecular subtypes identified by unsupervised consensus clustering. Furthermore, we profiled the tumor microenvironment via deconvolution and found significant differences in immune activity, transcription factor activity and molecular pathway enrichment between the RCD-high and RCD-low groups. More importantly, we revealed that the regulation of antigen presentation is the crucial mechanism underlying RCD. In addition, higher RCD scores predict poorer sensitivity to multiple therapeutic drugs, which indicates that RCD scores may serve as a promising predictor of chemotherapy and immunotherapy outcomes. In summary, this work is the first to reveal the internal links between RCD modes, LUAD, and cancer immunity and highlights the necessity of RCD scores in personalizing treatment plans.
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Affiliation(s)
- Liting You
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Aging Research and Cancer Drug Target, State Key Laboratory of Biotherapy, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Zhaodan Xin
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaohan Zhou
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Feifei Na
- Department of Thoracic Cancer, West China Hospital, Sichuan University, Chengdu, China
| | - Juan Zhou
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Binwu Ying
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China
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