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Sun X, Li J, Gao X, Huang Y, Pang Z, Lv L, Li H, Liu H, Zhu L. Disulfidptosis‑related lncRNA prognosis model to predict survival therapeutic response prediction in lung adenocarcinoma. Oncol Lett 2024; 28:342. [PMID: 38855504 PMCID: PMC11157670 DOI: 10.3892/ol.2024.14476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 04/19/2024] [Indexed: 06/11/2024] Open
Abstract
Lung adenocarcinoma (LUAD) is the most common pathological type of lung cancer, and disulfidptosis is a newly discovered mechanism of programmed cell death. However, the effects of disulfidptosis-related lncRNAs (DR-lncRNAs) in LUAD have yet to be fully elucidated. The aim of the present study was to identify and validate a novel lncRNA-based prognostic marker that was associated with disulfidptosis. RNA-sequencing and associated clinical data were obtained from The Cancer Genome Atlas database. Univariate Cox regression and lasso algorithm analyses were used to identify DR-lncRNAs and to establish a prognostic model. Kaplan-Meier curves, receiver operating characteristic curves, principal component analysis, Cox regression, nomograms and calibration curves were used to assess the reliability of the prognostic model. Functional enrichment analysis, immune infiltration analysis, somatic mutation analysis, tumor microenvironment and drug predictions were applied to the risk model. Reverse transcription-quantitative PCR was subsequently performed to validate the mRNA expression levels of the lncRNAs in normal cells and tumor cells. These analyses enabled a DR-lncRNA prognosis signature to be constructed, consisting of nine lncRNAs; U91328.1, LINC00426, MIR1915HG, TMPO-AS1, TDRKH-AS1, AL157895.1, AL512363.1, AC010615.2 and GCC2-AS1. This risk model could serve as an independent prognostic tool for patients with LUAD. Numerous immune evaluation algorithms indicated that the low-risk group may exhibit a more robust and active immune response against the tumor. Moreover, the tumor immune dysfunction exclusion algorithm suggested that immunotherapy would be more effective in patients in the low-risk group. The drug-sensitivity results showed that patients in the high-risk group were more sensitive to treatment with crizotinib, erlotinib or savolitinib. Finally, the expression levels of AL157895.1 were found to be lower in A549. In summary, a novel DR-lncRNA signature was constructed, which provided a new index to predict the efficacy of therapeutic interventions and the prognosis of patients with LUAD.
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Affiliation(s)
- Xiaoming Sun
- Department of Thoracic Surgery, Jinan Central Hospital, Jinan, Shandong 250013, P.R. China
| | - Jia Li
- Department of Thoracic Surgery, Jinan Central Hospital, Shandong University, Jinan, Shandong 250013, P.R. China
| | - Xuedi Gao
- Department of Ophthamology, Jinan Mingshui Eye Hospital, Jinan, Shandong 250200, P.R. China
| | - Yubin Huang
- Department of Thoracic Surgery, Jinan Central Hospital, Shandong First Medical University, Jinan, Shandong 250013, P.R. China
| | - Zhanyue Pang
- Department of Thoracic Surgery, Jinan Central Hospital, Jinan, Shandong 250013, P.R. China
| | - Lin Lv
- Department of Thoracic Surgery, Jinan Central Hospital, Shandong University, Jinan, Shandong 250013, P.R. China
| | - Hao Li
- Department of Thoracic Surgery, Jinan Central Hospital, Shandong First Medical University, Jinan, Shandong 250013, P.R. China
| | - Haibo Liu
- Department of Thoracic Surgery, Jinan Central Hospital, Jinan, Shandong 250013, P.R. China
| | - Liangming Zhu
- Department of Thoracic Surgery, Jinan Central Hospital, Shandong University, Jinan, Shandong 250013, P.R. China
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Fu M, Aihemaiti D, Fu H, Li N, Yuan Y, Ye M. Identification of Key Disulfidptosis-Related Genes and Their Association with Gene Expression Subtypes in Crohn's Disease. J Inflamm Res 2024; 17:3655-3670. [PMID: 38863903 PMCID: PMC11166158 DOI: 10.2147/jir.s458951] [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: 02/19/2024] [Accepted: 05/16/2024] [Indexed: 06/13/2024] Open
Abstract
Background Crohn's disease (CD) is a persistent inflammatory condition that impacts the gastrointestinal system and is characterized by a multifaceted pathogenesis involving genetic, immune, and environmental components. This study primarily investigates the relationship between gene expression and immune cell infiltration in CD, focusing on disulfidptosis-a novel form of cell death caused by abnormal disulfide accumulation-and its impact on various immune cell populations. By identifying key disulfidptosis-related genes (DRGs) and exploring their association with distinct gene expression subtypes, this research aims to enhance our understanding of CD and potentially other autoimmune diseases. Methods Gene expression data from intestinal biopsy samples were collected from both individuals with CD and healthy controls, and these data were retrieved from the GEO database. Through gene expression level comparisons, various differentially expressed genes (DEGs) were identified. Subsequently, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analyses were performed to reveal the biological processes and pathways linked to these DEGs. Later, immune cell infiltration was evaluated. Hub candidate DRGs were identified using machine learning algorithms. Validation of the expression of hub DRGs was carried out using quantitative real-time polymerase chain reaction. The hub DRGs were subjected to unsupervised hierarchical clustering to classify CD patients into subtypes. The characteristics of each subtype were then analyzed. Results Two hub DRGs (NDUFA11 and LRPPRC) were identified. NDUFA11 showed a significantly positive association with the abundance of Th17 cells. Conversely, higher expression levels of LRPPRC were associated with a reduced abundance of various immune cells, particularly monocytes. CD patients were classified into two disulfidptosis-related subtypes. Cluster B patients exhibited lower immune infiltration and milder clinical presentation. Conclusion LRPPRC and NDUFA11 are identified as hub DRGs in CD, with potential roles in disulfidptosis and immune regulation. The disulfidptosis subtypes provide new insights into disease progression.
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Affiliation(s)
- Mingyue Fu
- Department of Gastroenterology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, People’s Republic of China
- Hubei Clinical Centre and Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, People’s Republic of China
| | - Diliaremu Aihemaiti
- Department of Gastroenterology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, People’s Republic of China
- Hubei Clinical Centre and Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, People’s Republic of China
| | - Haowen Fu
- Department of Gastroenterology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, People’s Republic of China
- Hubei Clinical Centre and Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, People’s Republic of China
| | - Na Li
- Department of Gastroenterology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, People’s Republic of China
- Hubei Clinical Centre and Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, People’s Republic of China
| | - Yifan Yuan
- Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, People’s Republic of China
| | - Mei Ye
- Department of Gastroenterology, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, People’s Republic of China
- Hubei Clinical Centre and Key Laboratory of Intestinal and Colorectal Diseases, Zhongnan Hospital, Wuhan University, Wuhan, Hubei, People’s Republic of China
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Tian Z, Song J, She J, He W, Guo S, Dong B. Constructing a disulfidptosis-related prognostic signature of hepatocellular carcinoma based on single-cell sequencing and weighted co-expression network analysis. Apoptosis 2024:10.1007/s10495-024-01968-z. [PMID: 38760515 DOI: 10.1007/s10495-024-01968-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/09/2024] [Indexed: 05/19/2024]
Abstract
Hepatocellular carcinoma (HCC) ranks as the second leading cause of cancer-related deaths globally. Disulfidptosis is a newly identified form of regulated cell death that is induced by glucose starvation. However, the clinical prognostic characteristics of disulfidptosis-associated genes in HCC remain poorly understood. We conducted an analysis of the single-cell datasets GSE149614 and performed weighted co-expression network analysis (WGCNA) on the Cancer Genome Atlas (TCGA) datasets to identify the genes related to disulfidptosis. A prognostic model was constructed using univariate COX and Lasso regression. Survival analysis, immune microenvironment analysis, and mutation analysis were performed. Additionally, a nomogram associated with disulfidptosis-related signature was constructed to identify the prognosis of HCC patients. Patients with HCC in the TCGA and GSE14520 datasets were categorized using a disulfidptosis-related model, revealing significant differences in survival times between the high- and low-disulfidptosis groups. High-disulfidptosis patients exhibited increased expression of immune checkpoint-related genes, implying that immunotherapy and certain chemotherapies may be beneficial for them. Meanwhile, the ROC and decision curves analysis (DCA) indicated that the nomogram has satisfying prognostic efficacy. Moreover, the experimental results of GATM in this prognostic model indicated that GATM is low expressed in HCC tissues, and GATM knockdown promotes the proliferation and migration of HCC cells. By analyzing single-cell and bulk multi-omics sequencing data, we developed a prognostic signature related to disulfidptosis and explored the relationship between high- and low-disulfidptosis groups in HCC. This study offers a novel reference for gaining a deeper understanding of the role of disulfidptosis in HCC.
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Affiliation(s)
- Zelin Tian
- Department of Hepatobiliary Surgery, Xijing Hospital, Air Force Medical University, Xi'an, China
| | - Junbo Song
- Department of Hepatobiliary Surgery, Xijing Hospital, Air Force Medical University, Xi'an, China
| | - Jiang She
- Department of Orthopedics, Ninth Hospital of Xi'an, Xi'an, 710000, Shaanxi, China
| | - Weixiang He
- Department of Urology, Air Force Medical University, Xi'an, China
| | - Shanshan Guo
- Department of Physiology and Pathophysiology, Air Force Medical University, Xi'an, China
| | - Bingchen Dong
- Department of Orthopedics, Ninth Hospital of Xi'an, Xi'an, 710000, Shaanxi, China.
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Chen J, Ma B, Yang Y, Wang B, Hao J, Zhou X. Disulfidptosis decoded: a journey through cell death mysteries, regulatory networks, disease paradigms and future directions. Biomark Res 2024; 12:45. [PMID: 38685115 PMCID: PMC11059647 DOI: 10.1186/s40364-024-00593-x] [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: 02/18/2024] [Accepted: 04/23/2024] [Indexed: 05/02/2024] Open
Abstract
Cell death is an important part of the life cycle, serving as a foundation for both the orderly development and the maintenance of physiological equilibrium within organisms. This process is fundamental, as it eliminates senescent, impaired, or aberrant cells while also promoting tissue regeneration and immunological responses. A novel paradigm of programmed cell death, known as disulfidptosis, has recently emerged in the scientific circle. Disulfidptosis is defined as the accumulation of cystine by cancer cells with high expression of the solute carrier family 7 member 11 (SLC7A11) during glucose starvation. This accumulation causes extensive disulfide linkages between F-actins, resulting in their contraction and subsequent detachment from the cellular membrane, triggering cellular death. The RAC1-WRC axis is involved in this phenomenon. Disulfidptosis sparked growing interest due to its potential applications in a variety of pathologies, particularly oncology, neurodegenerative disorders, and metabolic anomalies. Nonetheless, the complexities of its regulatory pathways remain elusive, and its precise molecular targets have yet to be definitively identified. This manuscript aims to meticulously dissect the historical evolution, molecular underpinnings, regulatory frameworks, and potential implications of disulfidptosis in various disease contexts, illuminating its promise as a groundbreaking therapeutic pathway and target.
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Affiliation(s)
- Jinyu Chen
- The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China
| | - Boyuan Ma
- The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China
| | - Yubiao Yang
- The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China
| | - Bitao Wang
- The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China
| | - Jian Hao
- The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China.
| | - Xianhu Zhou
- The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 510260, China.
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Zhou S, Liu J, Wan A, Zhang Y, Qi X. Epigenetic regulation of diverse cell death modalities in cancer: a focus on pyroptosis, ferroptosis, cuproptosis, and disulfidptosis. J Hematol Oncol 2024; 17:22. [PMID: 38654314 DOI: 10.1186/s13045-024-01545-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 04/12/2024] [Indexed: 04/25/2024] Open
Abstract
Tumor is a local tissue hyperplasia resulted from cancerous transformation of normal cells under the action of various physical, chemical and biological factors. The exploration of tumorigenesis mechanism is crucial for early prevention and treatment of tumors. Epigenetic modification is a common and important modification in cells, including DNA methylation, histone modification, non-coding RNA modification and m6A modification. The normal mode of cell death is programmed by cell death-related genes; however, recent researches have revealed some new modes of cell death, including pyroptosis, ferroptosis, cuproptosis and disulfidptosis. Epigenetic regulation of various cell deaths is mainly involved in the regulation of key cell death proteins and affects cell death by up-regulating or down-regulating the expression levels of key proteins. This study aims to investigate the mechanism of epigenetic modifications regulating pyroptosis, ferroptosis, cuproptosis and disulfidptosis of tumor cells, explore possible triggering factors in tumor development from a microscopic point of view, and provide potential targets for tumor therapy and new perspective for the development of antitumor drugs or combination therapies.
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Affiliation(s)
- Shimeng Zhou
- Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China
- Key Laboratory of Chongqing Health Commission for Minimally Invasive and Precise Diagnosis, Chongqing, China
| | - Junlan Liu
- Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China
- Key Laboratory of Chongqing Health Commission for Minimally Invasive and Precise Diagnosis, Chongqing, China
| | - Andi Wan
- Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China
- Key Laboratory of Chongqing Health Commission for Minimally Invasive and Precise Diagnosis, Chongqing, China
| | - Yi Zhang
- Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China.
- Key Laboratory of Chongqing Health Commission for Minimally Invasive and Precise Diagnosis, Chongqing, China.
| | - Xiaowei Qi
- Department of Breast and Thyroid Surgery, Southwest Hospital, Army Medical University, Chongqing, China.
- Key Laboratory of Chongqing Health Commission for Minimally Invasive and Precise Diagnosis, Chongqing, China.
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Liu Y, Zhu T, Wang J, Cheng Y, Zeng Q, You Z, Dai G. Analysis of network expression and immune infiltration of disulfidptosis-related genes in chronic obstructive pulmonary disease. Immun Inflamm Dis 2024; 12:e1231. [PMID: 38578019 PMCID: PMC10996381 DOI: 10.1002/iid3.1231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 02/26/2024] [Accepted: 03/14/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Chronic obstructive pulmonary disease (COPD) is a globally prevalent respiratory disease, and programmed cell death plays a pivotal role in the development of COPD. Disulfidptosis is a newly discovered type of cell death that may be associated with the progression of COPD. However, the expression and role of disulfidptosis-related genes (DRGs) in COPD remain unclear. METHODS The expression of DRGs was identified by analyzing RNA sequencing (RNA-seq) data in COPD. Further, COPD patients were classified into two subtypes by unsupervised cluster analysis to reveal their differences in gene expression and immune infiltration. Meanwhile, hub genes associated with disulfidptosis were screened by weighted gene co-expression network analysis. Subsequently, the hub genes were validated experimentally in cells and animals. In addition, we screened potential therapeutic drugs through the hub genes. RESULTS We identified two distinct molecular clusters and observed significant differences in immune cell populations between them. In addition, we screened nine hub genes, and experimental validation showed that CDC71, DOHH, PDAP1, and SLC25A39 were significantly upregulated in cigarette smoke-induced COPD mouse lung tissues and bronchial epithelial cells (BEAS-2B) treated with cigarette smoke extract. Finally, we predicted 10 potential small molecule drugs such as Atovaquone, Taurocholic acid, Latamoxef, and Methotrexate. CONCLUSION We highlighted the strong association between COPD and disulfidptosis, with DRGs demonstrating a discriminative capacity for COPD. Additionally, the expression of certain novel genes, including CDC71, DOHH, PDAP1, and SLC25A39, is linked to COPD and may aid in the diagnosis and assessment of this condition.
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Affiliation(s)
- Yanqun Liu
- The No. 1 Department of GerontologyThe Third Hospital of Mianyang, Sichuan Mental Health Center/The Third Hospital of Mianyang (Sichuan Mental Health Center)MianyangChina
| | - Tao Zhu
- Respiratory Medicine and Critical Care MedicineSuining Central HospitalSuiningChina
| | - Juan Wang
- The No. 1 Department of GerontologyThe Third Hospital of Mianyang, Sichuan Mental Health Center/The Third Hospital of Mianyang (Sichuan Mental Health Center)MianyangChina
| | - Yan Cheng
- The No. 1 Department of GerontologyThe Third Hospital of Mianyang, Sichuan Mental Health Center/The Third Hospital of Mianyang (Sichuan Mental Health Center)MianyangChina
| | - Qiang Zeng
- The No. 1 Department of GerontologyThe Third Hospital of Mianyang, Sichuan Mental Health Center/The Third Hospital of Mianyang (Sichuan Mental Health Center)MianyangChina
| | - Zhangqiang You
- Ecological Security and Protection Key Laboratory of Sichuan ProvinceMianyang Normal UniversityMianyangChina
| | - Guangming Dai
- Department of GeriatricsFirst People's Hospital of Suining CitySuiningChina
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Chen R, Wu J, Che Y, Jiao Y, Sun H, Zhao Y, Chen P, Meng L, Zhao T. Machine learning-driven prognostic analysis of cuproptosis and disulfidptosis-related lncRNAs in clear cell renal cell carcinoma: a step towards precision oncology. Eur J Med Res 2024; 29:176. [PMID: 38491523 PMCID: PMC10943875 DOI: 10.1186/s40001-024-01763-1] [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: 02/01/2024] [Accepted: 03/01/2024] [Indexed: 03/18/2024] Open
Abstract
Cuproptosis and disulfidptosis, recently discovered mechanisms of cell death, have demonstrated that differential expression of key genes and long non-coding RNAs (lncRNAs) profoundly influences tumor development and affects their drug sensitivity. Clear cell renal cell carcinoma (ccRCC), the most common subtype of kidney cancer, presently lacks research utilizing cuproptosis and disulfidptosis-related lncRNAs (CDRLRs) as prognostic markers. In this study, we analyzed RNA-seq data, clinical information, and mutation data from The Cancer Genome Atlas (TCGA) on ccRCC and cross-referenced it with known cuproptosis and disulfidptosis-related genes (CDRGs). Using the LASSO machine learning algorithm, we identified four CDRLRs-ACVR2B-AS1, AC095055.1, AL161782.1, and MANEA-DT-that are strongly associated with prognosis and used them to construct a prognostic risk model. To verify the model's reliability and validate these four CDRLRs as significant prognostic factors, we performed dataset grouping validation, followed by RT-qPCR and external database validation for differential expression and prognosis of CDRLRs in ccRCC. Gene function and pathway analysis were conducted using Gene Ontology (GO) and Gene Set Enrichment Analysis (GSEA) for high- and low-risk groups. Additionally, we have analyzed the tumor mutation burden (TMB) and the immune microenvironment (TME), employing the oncoPredict and Immunophenoscore (IPS) algorithms to assess the sensitivity of diverse risk categories to targeted therapeutics and immunosuppressants. Our predominant objective is to refine prognostic predictions for patients with ccRCC and inform treatment decisions by conducting an exhaustive study on cuproptosis and disulfidptosis.
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Affiliation(s)
- Ronghui Chen
- School of Clinical Medicine, Shandong Second Medical University, Weifang, 261053, China
- Department of Oncology, People's Hospital of Rizhao, Rizhao, 276826, China
| | - Jun Wu
- Department of Oncology, People's Hospital of Rizhao, Rizhao, 276826, China
| | - Yinwei Che
- Department of Central Laboratory, Shandong Provincial Key Medical and Health Laboratory, Rizhao Key Laboratory of Basic Research on Anesthesia and Respiratory Intensive Care, The People's Hospital of Rizhao, Rizhao, 276826, Shandong, China
| | - Yuzhuo Jiao
- Department of Central Laboratory, Shandong Provincial Key Medical and Health Laboratory, Rizhao Key Laboratory of Basic Research on Anesthesia and Respiratory Intensive Care, The People's Hospital of Rizhao, Rizhao, 276826, Shandong, China
| | - Huashan Sun
- Department of Central Laboratory, Shandong Provincial Key Medical and Health Laboratory, Rizhao Key Laboratory of Basic Research on Anesthesia and Respiratory Intensive Care, The People's Hospital of Rizhao, Rizhao, 276826, Shandong, China
| | - Yinuo Zhao
- Department of Pathology, People's Hospital of Rizhao, Rizhao, 276826, China
| | - Pingping Chen
- Department of Pathology, People's Hospital of Rizhao, Rizhao, 276826, China
| | - Lingxin Meng
- Department of Oncology, People's Hospital of Rizhao, Rizhao, 276826, China.
| | - Tao Zhao
- Department of Central Laboratory, Shandong Provincial Key Medical and Health Laboratory, Rizhao Key Laboratory of Basic Research on Anesthesia and Respiratory Intensive Care, The People's Hospital of Rizhao, Rizhao, 276826, Shandong, China
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Hong Y, Lv Z, Xing Z, Xu H, Chand H, Wang J, Li Y. Identification of molecular subtypes and diagnostic model in clear cell renal cell carcinoma based on collagen-related genes may predict the response of immunotherapy. Front Pharmacol 2024; 15:1325447. [PMID: 38375034 PMCID: PMC10875022 DOI: 10.3389/fphar.2024.1325447] [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: 10/21/2023] [Accepted: 01/22/2024] [Indexed: 02/21/2024] Open
Abstract
Background: Collagen represents a prominent constituent of the tumor's extracellular matrix (ECM). Nonetheless, its correlation with the molecular subtype attributes of clear cell renal cell carcinoma (ccRCC) remains elusive. Our objective is to delineate collagen-associated molecular subtypes and further construct diagnostic model, offering insights conducive to the precise selection of ccRCC patients for immunotherapeutic interventions. Methods: We performed unsupervised non-negative matrix factorization (NMF) analysis on TCGA-KIRC samples, utilizing a set of 33 collagen-related differentially expressed genes (33CRDs) for clustering. Our analysis encompassed evaluations of subtype-associated differences in pathways, immune profiles, and somatic mutations. Through weighted gene co-expression network analysis (WGCNA) and four machine learning algorithms, two core genes were found and a diagnostic model was constructed. This was subsequently validated in a clinical immunotherapy cohort. Single cell sequencing analysis and experiments demonstrated the role of core genes in ccRCC. Finally, we also analyzed the roles of MMP9 and SCGN in pan-cancer. Results: We described two novel collagen related molecular subtypes in ccRCC, designated subtype 1 and subtype 2. Compared with subtype 1, subtype 2 showed more infiltration of immune components, but had a higher TIDE (tumor immunedysfunctionandexclusion) score and increased levels of immune checkpoint molecules. Furthermore, reduced prognosis for subtype 2 was a consistent finding in both high and low mutation load subgroups. MMP9 and SCGN were identified as key genes for distinguishing subtype 1 and subtype 2. The diagnostic model based on them could better distinguish the subtype of patients, and the differentiated patients had different progression free survival (PFS) in the clinical immunotherapy cohort. MMP9 was predominantly expressed in macrophages and has been extensively documented in the literature. Meanwhile, SCGN, which was overexpressed in tumor cells, underwent experimental validation, emphasizing its role in ccRCC. In various cancers, MMP9 and SCGN were associated with immune-related molecules and immune cells. Conclusion: Our study identifies two collagen-related molecular subtypes of ccRCC and constructs a diagnostic model to help select appropriate patients for immunotherapy.
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Affiliation(s)
- Yulong Hong
- Department of Urology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhengtong Lv
- Department of Urology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhuo Xing
- Department of Urology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Haozhe Xu
- Department of Urology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Harripersaud Chand
- Department of Urology, New Amsterdam Regional Hospital, New Amsterdam, Guyana
| | - Jianxi Wang
- Department of Urology, The Third Hospital of Changsha, Changsha, Hunan, China
| | - Yuan Li
- Department of Urology, Second Xiangya Hospital, Central South University, Changsha, Hunan, China
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Li P, Wang S, Wan H, Huang Y, Yin K, Sun K, Jin H, Wang Z. Construction of disulfidptosis-based immune response prediction model with artificial intelligence and validation of the pivotal grouping oncogene c-MET in regulating T cell exhaustion. Front Immunol 2024; 15:1258475. [PMID: 38352883 PMCID: PMC10862485 DOI: 10.3389/fimmu.2024.1258475] [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: 07/14/2023] [Accepted: 01/04/2024] [Indexed: 02/16/2024] Open
Abstract
Background Given the lack of research on disulfidptosis, our study aimed to dissect its role in pan-cancer and explore the crosstalk between disulfidptosis and cancer immunity. Methods Based on TCGA, ICGC, CGGA, GSE30219, GSE31210, GSE37745, GSE50081, GSE22138, GSE41613, univariate Cox regression, LASSO regression, and multivariate Cox regression were used to construct the rough gene signature based on disulfidptosis for each type of cancer. SsGSEA and Cibersort, followed by correlation analysis, were harnessed to explore the linkage between disulfidptosis and cancer immunity. Weighted correlation network analysis (WGCNA) and Machine learning were utilized to make a refined prognosis model for pan-cancer. In particular, a customized, enhanced prognosis model was made for glioma. The siRNA transfection, FACS, ELISA, etc., were employed to validate the function of c-MET. Results The expression comparison of the disulfidptosis-related genes (DRGs) between tumor and nontumor tissues implied a significant difference in most cancers. The correlation between disulfidptosis and immune cell infiltration, including T cell exhaustion (Tex), was evident, especially in glioma. The 7-gene signature was constructed as the rough model for the glioma prognosis. A pan-cancer suitable DSP clustering was made and validated to predict the prognosis. Furthermore, two DSP groups were defined by machine learning to predict the survival and immune therapy response in glioma, which was validated in CGGA. PD-L1 and other immune pathways were highly enriched in the core blue gene module from WGCNA. Among them, c-MET was validated as a tumor driver gene and JAK3-STAT3-PD-L1/PD1 regulator in glioma and T cells. Specifically, the down-regulation of c-MET decreased the proportion of PD1+ CD8+ T cells. Conclusion To summarize, we dissected the roles of DRGs in the prognosis and their relationship with immunity in pan-cancer. A general prognosis model based on machine learning was constructed for pan-cancer and validated by external datasets with a consistent result. In particular, a survival-predicting model was made specifically for patients with glioma to predict its survival and immune response to ICIs. C-MET was screened and validated for its tumor driver gene and immune regulation function (inducing t-cell exhaustion) in glioma.
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Affiliation(s)
- Pengping Li
- Department of Thyroid and Breast Surgery, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China
| | - Shaowen Wang
- Neuromedicine Center, The University of Hong Kong-Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Hong Wan
- Department of General Surgery, Breast Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yuqing Huang
- Department of Thyroid and Breast Surgery, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China
| | - Kexin Yin
- Department of Thyroid and Breast Surgery, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China
| | - Ke Sun
- Department of Thyroid and Breast Surgery, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China
| | - Haigang Jin
- Department of Thyroid and Breast Surgery, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China
| | - Zhenyu Wang
- Department of Thyroid and Breast Surgery, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China
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10
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Xu K, Li D, Qian J, Zhang Y, Zhang M, Zhou H, Hou X, Jiang J, Zhang Z, Sun H, Shi G, Dai H, Liu H. Single-cell disulfidptosis regulator patterns guide intercellular communication of tumor microenvironment that contribute to kidney renal clear cell carcinoma progression and immunotherapy. Front Immunol 2024; 15:1288240. [PMID: 38292868 PMCID: PMC10824999 DOI: 10.3389/fimmu.2024.1288240] [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: 09/04/2023] [Accepted: 01/03/2024] [Indexed: 02/01/2024] Open
Abstract
Background Disulfidptosis, an emerging type of programmed cell death, plays a pivotal role in various cancer types, notably impacting the progression of kidney renal clear cell carcinoma (KIRC) through the tumor microenvironment (TME). However, the specific involvement of disulfidptosis within the TME remains elusive. Methods Analyzing 41,784 single cells obtained from seven samples of KIRC through single-cell RNA sequencing (scRNA-seq), this study employed nonnegative matrix factorization (NMF) to assess 24 disulfidptosis regulators. Pseudotime analysis, intercellular communication mapping, determination of transcription factor activities (TFs), and metabolic profiling of the TME subgroup in KIRC were conducted using Monocle, CellChat, SCENIC, and scMetabolism. Additionally, public cohorts were utilized to predict prognosis and immune responses within the TME subgroup of KIRC. Results Through NMF clustering and differential expression marker genes, fibroblasts, macrophages, monocytes, T cells, and B cells were categorized into four to six distinct subgroups. Furthermore, this investigation revealed the correlation between disulfidptosis regulatory factors and the biological traits, as well as the pseudotime trajectories of TME subgroups. Notably, disulfidptosis-mediated TME subgroups (DSTN+CD4T-C1 and FLNA+CD4T-C2) demonstrated significant prognostic value and immune responses in patients with KIRC. Multiple immunohistochemistry (mIHC) assays identified marker expression within both cell clusters. Moreover, CellChat analysis unveiled diverse and extensive interactions between disulfidptosis-mediated TME subgroups and tumor epithelial cells, highlighting the TNFSF12-TNFRSF12A ligand-receptor pair as mediators between DSTN+CD4T-C1, FLNA+CD4T-C2, and epithelial cells. Conclusion Our study sheds light on the role of disulfidptosis-mediated intercellular communication in regulating the biological characteristics of the TME. These findings offer valuable insights for patients with KIRC, potentially guiding personalized immunotherapy approaches.
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Affiliation(s)
- Kangjie Xu
- Central Laboratory Department, Binhai County People’s Hospital, Yancheng, Jiangsu, China
| | - Dongling Li
- Nephrology Department, Binhai County People’s Hospital, Yancheng, Jiangsu, China
| | - Jinke Qian
- Urology Department, Binhai County People’s Hospital, Yancheng, Jiangsu, China
| | - Yanhua Zhang
- Obstetrics and Gynecology Department, Binhai County People’s Hospital, Yancheng, Jiangsu, China
| | - Minglei Zhang
- Oncology Department, Binhai County People’s Hospital, Yancheng, Jiangsu, China
| | - Hai Zhou
- Central Laboratory Department, Binhai County People’s Hospital, Yancheng, Jiangsu, China
| | - Xuefeng Hou
- Central Laboratory Department, Binhai County People’s Hospital, Yancheng, Jiangsu, China
| | - Jian Jiang
- Central Laboratory Department, Binhai County People’s Hospital, Yancheng, Jiangsu, China
| | - Zihang Zhang
- Pathology Department, Binhai County People’s Hospital, Yancheng, Jiangsu, China
| | - Hang Sun
- Urology Department, Binhai County People’s Hospital, Yancheng, Jiangsu, China
| | - Guodong Shi
- Medical Department, Binhai County People’s Hospital, Yancheng, Jiangsu, China
| | - Hua Dai
- Yangzhou University Clinical Medical College, Jiangsu Key Laboratory of Experimental & Translational Non-coding RNA Research, Yancheng, Jiangsu, China
| | - Hui Liu
- Urology Department, Binhai County People’s Hospital, Yancheng, Jiangsu, China
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11
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Liu Y, Meng J, Ruan X, Wei F, Zhang F, Qin X. A disulfidptosis-related lncRNAs signature in hepatocellular carcinoma: prognostic prediction, tumor immune microenvironment and drug susceptibility. Sci Rep 2024; 14:746. [PMID: 38185671 PMCID: PMC10772085 DOI: 10.1038/s41598-024-51459-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 01/05/2024] [Indexed: 01/09/2024] Open
Abstract
Disulfidptosis, a novel type of programmed cell death, has attracted researchers' attention worldwide. However, the role of disulfidptosis-related lncRNAs (DRLs) in liver hepatocellular carcinoma (LIHC) not yet been studied. We aimed to establish and validate a prognostic signature of DRLs and analyze tumor microenvironment (TME) and drug susceptibility in LIHC patients. RNA sequencing data, mutation data, and clinical data were obtained from the Cancer Genome Atlas Database (TCGA). Lasso algorithm and cox regression analysis were performed to identify a prognostic DRLs signature. Kaplan-Meier curves, principal component analysis (PCA), nomogram and calibration curve, function enrichment, TME, immune dysfunction and exclusion (TIDE), tumor mutation burden (TMB), and drug sensitivity analyses were analyzed. External datasets were used to validate the predictive value of DRLs. qRT-PCR was also used to validate the differential expression of the target lncRNAs in tissue samples and cell lines. We established a prognostic signature for the DRLs (MKLN1-AS and TMCC1-AS1) in LIHC. The signature could divide the LIHC patients into low- and high-risk groups, with the high-risk subgroup associated with a worse prognosis. We observed discrepancies in tumor-infiltrating immune cells, immune function, function enrichment, and TIDE between two risk groups. LIHC patients in the high-risk group were more sensitive to several chemotherapeutic drugs. External datasets, clinical tissue, and cell lines confirmed the expression of MKLN1-AS and TMCC1-AS1 were upregulated in LIHC and associated with a worse prognosis. The novel signature based on the two DRLs provide new insight into LIHC prognostic prediction, TME, and potential therapeutic strategies.
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Affiliation(s)
- Yanqiong Liu
- Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Jiyu Meng
- Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Xuelian Ruan
- Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Fangyi Wei
- Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Fuyong Zhang
- Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Xue Qin
- Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
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12
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Guo Z, Xie Y, Zhang L, Liu S, Jiang W. A novel disulfidptosis-related lncRNAs signature for predicting survival and immune response in hepatocellular carcinoma. Aging (Albany NY) 2024; 16:267-284. [PMID: 38180745 PMCID: PMC10817373 DOI: 10.18632/aging.205367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 11/15/2023] [Indexed: 01/06/2024]
Abstract
The accumulation of intracellular disulfides induces a novel and unique form of metabolic-related cell death known as disulfidptosis. A previous study revealed the prognostic value of a risk model of disulfidptosis-related genes in hepatocellular carcinoma (HCC). However, to date, no studies have investigated the relationship between disulfidptosis-related long non-coding RNAs (DRLs) and HCC. In this study, we collected and analyzed RNA sequencing data from 370 HCC samples to explore the DRLs in the tumorigenesis and development of HCC. By employing Lasso Cox regression and multivariate Cox regression analyses, we identified five prognostic DRLs, which were used to construct a prognostic signature. The signature was subsequently validated using receiver operating characteristic (ROC) curves, Kaplan-Meier analysis, Cox regression analyses, nomograms, and calibration curves. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and gene set enrichment analysis (GSEA) were performed, revealing that the DRLs signature was associated with HCC and several cancer-related pathways. Furthermore, the DRLs signature showed correlations with the infiltration of M0 and M1 macrophages, immune-related functions, and multiple immune checkpoints, including PDCD1, LAG3, CTLA4, TIGIT, CD47, and others. Analysis using the tumor immune dysfunction and exclusion (TIDE) approach demonstrated that the DRLs signature could predict the response to immunotherapy. Finally, we screened potential chemotherapy drugs that could sensitize HCC. In conclusion, our novel DRLs signature provides valuable insights into predicting patient survival and immunotherapy responses.
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Affiliation(s)
- Zhoubo Guo
- The First Central Clinical School, Tianjin Medical University, Tianjin, China
- Department of Liver Transplantation, Tianjin First Central Hospital, Tianjin Medical University, Key Laboratory of Transplantation, Chinese Academy of Medical Sciences, Tianjin Key Laboratory for Organ Transplantation, Tianjin Key Laboratory of Molecular and Treatment of Liver Cancer, Tianjin, China
| | - Yan Xie
- Department of Liver Transplantation, Tianjin First Central Hospital, Tianjin Medical University, Key Laboratory of Transplantation, Chinese Academy of Medical Sciences, Tianjin Key Laboratory for Organ Transplantation, Tianjin Key Laboratory of Molecular and Treatment of Liver Cancer, Tianjin, China
| | - Li Zhang
- Department of Liver Transplantation, Tianjin First Central Hospital, Tianjin Medical University, Key Laboratory of Transplantation, Chinese Academy of Medical Sciences, Tianjin Key Laboratory for Organ Transplantation, Tianjin Key Laboratory of Molecular and Treatment of Liver Cancer, Tianjin, China
| | - Shuaichen Liu
- Department of Liver Transplantation, Tianjin First Central Hospital, Tianjin Medical University, Key Laboratory of Transplantation, Chinese Academy of Medical Sciences, Tianjin Key Laboratory for Organ Transplantation, Tianjin Key Laboratory of Molecular and Treatment of Liver Cancer, Tianjin, China
| | - Wentao Jiang
- Department of Liver Transplantation, Tianjin First Central Hospital, Tianjin Medical University, Key Laboratory of Transplantation, Chinese Academy of Medical Sciences, Tianjin Key Laboratory for Organ Transplantation, Tianjin Key Laboratory of Molecular and Treatment of Liver Cancer, Tianjin, China
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13
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Chen S, Li X, Ao W. Prognostic and immune infiltration features of disulfidptosis-related subtypes in breast cancer. BMC Womens Health 2024; 24:6. [PMID: 38166898 PMCID: PMC10763228 DOI: 10.1186/s12905-023-02823-0] [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: 08/31/2023] [Accepted: 12/01/2023] [Indexed: 01/05/2024] Open
Abstract
Breast cancer (BC) is a prominent cause of cancer incidence and mortality around the world. Disulfidptosis, a type of cell death, can induce tumor cell death. The purpose of this study was to analyze the potential impact of disulfidptosis-related genes (DRGs) on the prognosis and immune infiltration features of BC. Based on DRGs, we conducted an unsupervised clustering analysis on gene expression data of BC in TCGA-BRCA dataset and identified two BC subtypes, cluster1 and cluster2, with cluster1 showing a higher likelihood of favorable survival. Through immune analysis, we found that cluster1 had lower proportions of infiltration in immune-related cells, including aDCs, DCs, NK_cells, Th2_cells, and Treg. Based on the immunophenoscore (IPS) results, we inferred that cluster1 might benefit more from immune checkpoint inhibitors targeting CTLA-4 and PD1. Targeted small molecule prediction results showed that patients with cluster2 BC might respond better to antagonistic small molecule compounds, including clofazimine, lenalidomide, and epigallocatechin. Differentially expressed genes between the two subtypes were found to be enriched in signaling pathways related to steroid hormone biosynthesis, ovarian steroidogenesis, and neutrophil extracellular trap formation, according to enrichment analyses. In conclusion, this study identified BC subtypes based on DRGs so as to help predict patient prognosis and provide valuable tools for guiding clinical management and precise treatment of BC patients.
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Affiliation(s)
- Sheng Chen
- Oncology Department III, The Central Hospital of Xiaogan, No.6, Guangchang Road, Xiaogan City, 432000, Hubei Province, China
| | - Xiangrong Li
- Oncology Department III, The Central Hospital of Xiaogan, No.6, Guangchang Road, Xiaogan City, 432000, Hubei Province, China
| | - Wen Ao
- Oncology Department III, The Central Hospital of Xiaogan, No.6, Guangchang Road, Xiaogan City, 432000, Hubei Province, China.
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Williams CM, Myint ZW. The Role of Anticoagulation in Tumor Thrombus Associated with Renal Cell Carcinoma: A Literature Review. Cancers (Basel) 2023; 15:5382. [PMID: 38001642 PMCID: PMC10670835 DOI: 10.3390/cancers15225382] [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: 10/16/2023] [Revised: 11/10/2023] [Accepted: 11/11/2023] [Indexed: 11/26/2023] Open
Abstract
Tumor thrombus (TT) is a complication of renal cell carcinoma (RCC) for which favorable medical management remains undefined. While radical nephrectomy has been shown to increase overall survival in RCC patients, surgical interventions such as cardiopulmonary bypass (CPB) and deep hypothermic circulatory arrest (DHCA) utilized to perform TT resection carry high mortality rates. While it has been documented that RCC with TT is associated with venous thromboembolism (VTE) development, anticoagulation use in these patients remains controversial in clinical practice. Whether anticoagulation is associated with improved survival outcomes remains unclear. Furthermore, if anticoagulation is initiated, there is limited evidence for whether direct oral anticoagulants (DOACs), heparin, or warfarin serve as the most advantageous choice. While the combination of immunotherapy and tyrosine kinase inhibitors (TKIs) has been shown to improve the outcomes of RCC, the clinical benefits of this combination are not well studied prospectively in cases with TT. In this literature review, we explore the challenges of treating RCC-associated TT with special attention to anticoagulation. We provide a comprehensive overview of current surgical and medical approaches and summarize recent studies investigating anticoagulation in RCC patients undergoing surgery, targeted therapy, and/or immunotherapy. Our goal is to provide clinicians with updated clinical insight into anticoagulation for RCC-associated TT patients.
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Affiliation(s)
- Chelsey M. Williams
- Department of Internal Medicine, University of Kentucky, Lexington, KY 40536, USA;
| | - Zin W. Myint
- Division of Medical Oncology, Department of Internal Medicine, University of Kentucky, Lexington, KY 40536, USA
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15
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Li Y, Tang M, Dang W, Zhu S, Wang Y. Identification of disulfidptosis-related subtypes, characterization of tumor microenvironment infiltration, and development of a prognosis model in colorectal cancer. J Cancer Res Clin Oncol 2023; 149:13995-14014. [PMID: 37543978 DOI: 10.1007/s00432-023-05211-1] [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: 07/09/2023] [Accepted: 07/25/2023] [Indexed: 08/08/2023]
Abstract
BACKGROUND Colorectal cancer is the second leading cause of cancer-related deaths, which imposes a significant societal burden. Regular screening and emerging molecular tumor markers have important implications for detecting the progression and development of colorectal cancer. Disulfidptosis is a newly defined type of programmed cell death triggered by abnormal accumulation of disulfide compounds in cells that stimulate disulfide stress. Currently, there is no relevant discussion on this mechanism and colorectal cancer. METHODS We classified the disulfidptosis-related subtypes of colorectal cancer using bioinformatics methods. Through secondary clustering of differentially expressed genes between subtypes, we identified characteristic genes of the disulfidptosis subtype, constructed a prognostic model, and searched for potential biomarkers through clinical validation. RESULTS Using disulfidptosis-related genes collected from the literature, we classified colorectal cancer patients from public databases into three subtypes. The differentially expressed genes between subtypes were clustered into three gene subtypes, and eight characteristic genes were screened to construct a prognostic model. CONCLUSION The disulfidptosis mechanism has important value in the classification of colorectal cancer patients, and characteristic genes selected based on this mechanism can serve as a new potential biological marker for colorectal cancer.
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Affiliation(s)
- Ying Li
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Mengyao Tang
- College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Wei Dang
- The First College for Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Shu Zhu
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
- Department of Gastroenterology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jingshi Street, Lixia District, Jinan, Shandong, China.
| | - Yunpeng Wang
- Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
- Department of Gastroenterology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jingshi Street, Lixia District, Jinan, Shandong, China.
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16
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Zhang HB, Pan JY, Zhu T. A disulfidptosis-related lncRNA prognostic model to predict survival and response to immunotherapy in lung adenocarcinoma. Front Pharmacol 2023; 14:1254119. [PMID: 37822882 PMCID: PMC10563764 DOI: 10.3389/fphar.2023.1254119] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 09/15/2023] [Indexed: 10/13/2023] Open
Abstract
Background: Lung adenocarcinoma (LUAD) is the major subtype of lung cancer and has a poor prognosis. Disulfidptosis is a novel regulated cell death form characterized by aberrant disulfide stress and actin network collapse. This study aimed to identify disulfidptosis-related lncRNAs, and predict LUAD patients' prognosis and response to antitumor therapies by establishing a disulfidptosis-related lncRNA model. Methods: Transcriptome and clinical data of LUAD patients were obtained from the TCGA database. Pearson correlation and Cox regression analysis was used to identify disulfidptosis-related lncRNAs associated with overall survival. LASSO regression analysis was adopted to construct the prognostic model. GO, KEGG and GSEA analysis was used to identify cellular pathways related to this model. Immune cell infiltration was investigated by ESTIMATE and CIBERSORT algorithms. Tumor mutational burden (TMB) and its association with model-derived risk score were analyzed using simple nucleotide variation data. Patients' response to immunotherapy and other antineoplastic drugs was predicted by the TIDE algorithm and GDSC tool, respectively. Results: We identified 127 disulfidptosis-related lncRNAs, and a prognostic model that consists eight of them (KTN1-AS1, AL365181.3, MANCR, LINC01352, AC090559.1, AC093673.1, AP001094.3, and MHENCR) was established and verified. The prognostic model could stratify LUAD patients into two distinct risk-score groups. A high risk score was an independent prognosis factor indicating poor overall survival, and correlated with reduced immune cell infiltration, high TMB, and lower activity of tumor immune response. Immune checkpoint blockade might bring more survival benefits to the high-risk LUAD patients, whereas low-risk patients might be more responsive to targeted therapy and diverse kinase inhibitors. Conclusion: We established a disulfidptosis-related lncRNA model that can be exploited to predict the prognosis, tumor mutational burden, immune cell infiltration landscape, and response to immunotherapy and targeted therapy in LUAD patients.
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Affiliation(s)
- Hai-Bo Zhang
- Department of Pharmacy, Hangzhou Women’s Hospital, Hangzhou Maternity and Child Health Care Hospital, Hangzhou, China
| | - Jian-Yan Pan
- Department of Birth Health and Genetics, The Reproductive Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Tao Zhu
- Department of Pharmacy, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Intelligent Pharmacy and Individualized Therapy of Huzhou, Department of Pharmacy, Changxing People’s Hospital, Hangzhou, China
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