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Zhao X, Zhao Y, Zhang Y, Fan Q, Ke H, Chen X, Jin L, Tang H, Jiang Y, Ma J. Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation. J Biol Eng 2024; 18:42. [PMID: 39061076 PMCID: PMC11282767 DOI: 10.1186/s13036-024-00437-0] [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: 04/21/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Endometriosis (EMs) is an enigmatic disease of yet-unknown pathogenesis. Disulfidptosis, a novel identified form of programmed cell death resulting from disulfide stress, stands a chance of treating diverse ailments. However, the potential roles of disulfidptosis-related genes (DRGs) in EMs remain elusive. This study aims to thoroughly explore the key disulfidptosis genes involved in EMs, and probe novel diagnostic markers and candidate therapeutic compounds from the aspect of disulfidptosis based on bioinformatics analysis, machine learning, and animal experiments. RESULTS Enrichment analysis on key module genes and differentially expressed genes (DEGs) of eutopic and ectopic endometrial tissues in EMs suggested that EMs was closely related to disulfidptosis. And then, we obtained 20 and 16 disulfidptosis-related DEGs in eutopic and ectopic endometrial tissue, respectively. The protein-protein interaction (PPI) network revealed complex interactions between genes, and screened nine and ten hub genes in eutopic and ectopic endometrial tissue, respectively. Furthermore, immune infiltration analysis uncovered distinct differences in the immunocyte, human leukocyte antigen (HLA) gene set, and immune checkpoints in the eutopic and ectopic endometrial tissues when compared with health control. Besides, the hub genes mentioned above showed a close correlation with the immune microenvironment of EMs. Furthermore, four machine learning algorithms were applied to screen signature genes in eutopic and ectopic endometrial tissue, including the binary logistic regression (BLR), the least absolute shrinkage and selection operator (LASSO), the support vector machine-recursive feature elimination (SVM-RFE), and the extreme gradient boosting (XGBoost). Model training and hyperparameter tuning were implemented on 80% of the data using a ten-fold cross-validation method, and tested in the testing sets which determined the excellent diagnostic performance of these models by six indicators (Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value, Accuracy, and Area Under Curve). And seven eutopic signature genes (ACTB, GYS1, IQGAP1, MYH10, NUBPL, SLC7A11, TLN1) and five ectopic signature genes (CAPZB, CD2AP, MYH10, OXSM, PDLIM1) were finally identified based on machine learning. The independent validation dataset also showed high accuracy of the signature genes (IQGAP1, SLC7A11, CD2AP, MYH10, PDLIM1) in predicting EMs. Moreover, we screened 12 specific compounds for EMs based on ectopic signature genes and the pharmacological impact of tretinoin on signature genes was further verified in the ectopic lesion in the EMs murine model. CONCLUSION This study verified a close association between disulfidptosis and EMs based on bioinformatics analysis, machine learning, and animal experiments. Further investigation on the biological mechanism of disulfidptosis in EMs is anticipated to yield novel advancements for searching for potential diagnostic biomarkers and revolutionary therapeutic approaches in EMs.
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Affiliation(s)
- Xiaoxuan Zhao
- Department of Traditional Chinese Medicine (TCM) Gynecology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China
- Research Institute of Women's Reproductive Health, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yang Zhao
- The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Yuanyuan Zhang
- The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Qingnan Fan
- The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Huanxiao Ke
- The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Xiaowei Chen
- The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Linxi Jin
- The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Hongying Tang
- The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yuepeng Jiang
- College of Pharmaceutical Science, Zhejiang Chinese Medical University, Hangzhou, China.
| | - Jing Ma
- Department of Traditional Chinese Medicine (TCM) Gynecology, Hangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, China.
- Research Institute of Women's Reproductive Health, Zhejiang Chinese Medical University, Hangzhou, China.
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Gong X, Wu Q, Tan Z, Lin S, Zhou J, Lin S, Wang W, Han Z, Xie T, Zhou J. Identification and validation of cuproptosis and disulfidptosis related genes in colorectal cancer. Cell Signal 2024; 119:111185. [PMID: 38643947 DOI: 10.1016/j.cellsig.2024.111185] [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: 01/31/2024] [Revised: 04/11/2024] [Accepted: 04/17/2024] [Indexed: 04/23/2024]
Abstract
Colorectal cancer, the third most prevalent malignant cancer, is associated with poor prognosis. Recent studies have investigated the mechanisms underlying cuproptosis and disulfidptosis in colorectal cancer. However, whether genes linked to these processes impact the prognosis of colorectal cancer patients through analogous mechanisms remains unclear. In this study, we developed a model of cuproptosis and disulfidptosis in colorectal cancer and concurrently explored the role of the pivotal model gene HSPA8 in colorectal cancer cell lines. Our results revealed a positive correlation between cuproptosis and disulfidptosis, both of which are emerging as protective factors for the prognosis of CRC patients. Consequently, a prognostic model encompassing HSPA8, PDCL3, CBX3, ATP6V1G1, TAF1D, RPL4, and RPL14 was constructed. Notably, the key gene in our model, HSPA8, exhibited heightened expression and was validated as a protective prognostic factor in colorectal cancer, exerting inhibitory effects on colorectal cancer cell proliferation. This study offers novel insights into the interplay between cuproptosis and disulfidptosis. The application of the prognostic model holds promise for more effectively predicting the overall survival of colorectal cancer patients.
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Affiliation(s)
- Xiaoqing Gong
- Department of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China; Guangzhou Medical University, Guangzhou 511495, China
| | - Qixian Wu
- Department of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China; Guangzhou Medical University, Guangzhou 511495, China
| | - Zhenlin Tan
- Peking University Shenzhen Hospital, Shenzhen 518000, China
| | - Shumao Lin
- Department of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China; Guangzhou Medical University, Guangzhou 511495, China
| | - Jingdong Zhou
- Guangzhou Medical University, Guangzhou 511495, China
| | - Shihao Lin
- Guangzhou Medical University, Guangzhou 511495, China
| | - Weilin Wang
- Guangzhou Medical University, Guangzhou 511495, China
| | - Zhoujian Han
- Department of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China; Guangzhou Medical University, Guangzhou 511495, China
| | - Tingting Xie
- Department of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China.
| | - Jiyuan Zhou
- Department of Gastroenterology, the Second Affiliated Hospital of Guangzhou Medical University, Guangzhou 510260, China.
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Zhou R, Lu D, Mi J, Wang C, Lu W, Wang Z, Li X, Wei C, Zhang H, Ji J, Zhang Y, Zhang D, Wang F. Disulfidptosis-related genes serve as potential prognostic biomarkers and indicate tumor microenvironment characteristics and immunotherapy response in prostate cancer. Sci Rep 2024; 14:14107. [PMID: 38898043 PMCID: PMC11187134 DOI: 10.1038/s41598-024-61679-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: 03/07/2024] [Accepted: 05/08/2024] [Indexed: 06/21/2024] Open
Abstract
Disulfidptosis, a newly identified programmed cell death pathway in prostate cancer (PCa), is closely associated with intracellular disulfide stress and glycolysis. This study aims to elucidate the roles of disulfidptosis-related genes (DRGs) in the pathogenesis and progression of PCa, with the goal of improving diagnostic and therapeutic approaches. We analyzed PCa datasets and normal tissue transcriptome data from TCGA, GEO, and MSKCC. Using consensus clustering analysis and LASSO regression, we developed a risk scoring model, which was validated in an independent cohort. The model's predictive accuracy was confirmed through Kaplan-Meier curves, receiver operating characteristic (ROC) curves, and nomograms. Additionally, we explored the relationship between the risk score and immune cell infiltration, and examined the tumor microenvironment and somatic mutations across different risk groups. We also investigated responses to immunotherapy and drug sensitivity. Our analysis identified two disulfidosis subtypes with significant differences in survival, immune environments, and treatment responses. According to our risk score, the high-risk group exhibited poorer progression-free survival (PFS) and higher tumor mutational burden (TMB), associated with increased immune suppression. Functional enrichment analysis linked high-risk features to key cancer pathways, including the IL-17 signaling pathway. Moreover, drug sensitivity analysis revealed varied responses to chemotherapy, suggesting the potential for disulfidosis-based personalized treatment strategies. Notably, we identified PROK1 as a crucial prognostic marker in PCa, with its reduced expression correlating with disease progression. In summary, our study comprehensively assessed the clinical implications of DRGs in PCa progression and prognosis, offering vital insights for tailored precision medicine approaches.
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Affiliation(s)
- Rongbin Zhou
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed By the Province and Ministry, Guangxi Medical University, No. 22, Shuangyong Road, Qingxiu District, Nanning, 530021, Guangxi Zhuang Autonomous Region, China
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Dingjin Lu
- Department of Urology, People's Hospital of Beihai, Beihai, 536000, Guangxi, China
| | - Junhao Mi
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed By the Province and Ministry, Guangxi Medical University, No. 22, Shuangyong Road, Qingxiu District, Nanning, 530021, Guangxi Zhuang Autonomous Region, China
| | - Chengbang Wang
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Wenhao Lu
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed By the Province and Ministry, Guangxi Medical University, No. 22, Shuangyong Road, Qingxiu District, Nanning, 530021, Guangxi Zhuang Autonomous Region, China
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Zuheng Wang
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Xiao Li
- School of Life Sciences, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Chunmeng Wei
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Huiyong Zhang
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China
| | - Jin Ji
- Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China
- Department of Urology, Naval Medical Center, Naval Medical Univiersiy, 338 Huaihai West Road, Shanghai, 200433, China
| | - Yifeng Zhang
- Department of Urology, Naval Medical Center, Naval Medical Univiersiy, 338 Huaihai West Road, Shanghai, 200433, China.
| | - Duobing Zhang
- Department of Urology, Suzhou Hospital of Anhui Medical University, 616 The Third Bianyang Road, Yongqiao District, Suzhou, 234000, Anhui, China.
| | - Fubo Wang
- Collaborative Innovation Centre of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed By the Province and Ministry, Guangxi Medical University, No. 22, Shuangyong Road, Qingxiu District, Nanning, 530021, Guangxi Zhuang Autonomous Region, China.
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- School of Life Sciences, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- Department of Urology, Affiliated Tumor Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, Guangxi, China.
- School of Public Health, Guangxi Medical University, Nanning, 530021, Guangxi, 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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Zhang Y, Liu B, Zhou Y. A novel disulfidptosis-related gene signature predicts overall survival of glioblastoma patients. Future Sci OA 2024; 10:FSO948. [PMID: 38817361 PMCID: PMC11137853 DOI: 10.2144/fsoa-2023-0136] [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: 07/24/2023] [Accepted: 11/30/2023] [Indexed: 06/01/2024] Open
Abstract
Aim: The aim of this study was to investigate the prognostic relevance of disulfidptosis-related genes in glioblastoma using bioinformatic analysis in The Cancer Genome Atlas Program-Glioblastoma (TCGA-GBM) database and develop a gene signature model for predicting patient prognosis. Methods: We conducted a bioinformatic analysis using the TCGA-GBM database and employed weighted co-expression network analysis to identify disulfidptosis-related genes. Subsequently, we developed a predictive gene signature model based on these genes to stratify glioblastoma patients into high and low-risk groups. Results: Patients categorized into the high-risk group based on the disulfidptosis-related gene signature exhibited a significantly reduced survival rate in comparison to those in the low-risk group. Functional analysis also revealed notable differences in the immune status between the two risk groups. Conclusion: In conclusion, a new disulfidptosis-related gene signature can be utilised to predict prognosis in GBM.
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Affiliation(s)
- Yuxia Zhang
- Intensive Care Unit, Shandong Dongying People's Hospital, Dongying, 257091, China
- Department of Oncology, Shandong Dongying People's Hospital, Dongying, 257091, China
| | - Bing Liu
- Department of Oncology, Shandong Dongying People's Hospital, Dongying, 257091, China
| | - Yuelian Zhou
- Department of Oncology, Shandong Dongying People's Hospital, Dongying, 257091, China
- Department of Social & Medical Work, Shandong Dongying People's Hospital, Dongying, 257091, China
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Gu Q, An Y, Xu M, Huang X, Chen X, Li X, Shan H, Zhang M. Disulfidptosis, A Novel Cell Death Pathway: Molecular Landscape and Therapeutic Implications. Aging Dis 2024:AD.2024.0083. [PMID: 38739940 DOI: 10.14336/ad.2024.0083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Accepted: 05/02/2024] [Indexed: 05/16/2024] Open
Abstract
Programmed cell death is pivotal for several physiological processes, including immune defense. Further, it has been implicated in the pathogenesis of developmental disorders and the onset of numerous diseases. Multiple modes of programmed cell death, including apoptosis, pyroptosis, necroptosis, and ferroptosis, have been identified, each with their own unique characteristics and biological implications. In February 2023, Liu Xiaoguang and his team discovered "disulfidptosis," a novel pathway of programmed cell death. Their findings demonstrated that disulfidptosis is triggered in glucose-starved cells exhibiting high expression of a protein called SLC7A11. Furthermore, disulfidptosis is marked by a drastic imbalance in the NADPH/NADP+ ratio and the abnormal accumulation of disulfides like cystine. These changes ultimately lead to the destabilization of the F-actin network, causing cell death. Given that high SLC7A11 expression is a key feature of certain cancers, these findings indicate that disulfidptosis could serve as the basis of innovative anti-cancer therapies. Hence, this review delves into the discovery of disulfidptosis, its underlying molecular mechanisms and metabolic regulation, and its prospective applications in disease treatment.
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Affiliation(s)
- Qiuyang Gu
- Institute of Forensic Sciences, Suzhou Medical College, Soochow University, Suzhou, China
| | - Yumei An
- Institute of Forensic Sciences, Suzhou Medical College, Soochow University, Suzhou, China
| | - Mingyuan Xu
- Institute of Forensic Sciences, Suzhou Medical College, Soochow University, Suzhou, China
| | - Xinqi Huang
- Institute of Forensic Sciences, Suzhou Medical College, Soochow University, Suzhou, China
| | - Xueshi Chen
- Institute of Forensic Sciences, Suzhou Medical College, Soochow University, Suzhou, China
| | - Xianzhe Li
- Institute of Forensic Sciences, Suzhou Medical College, Soochow University, Suzhou, China
| | - Haiyan Shan
- Department of Obstetrics and Gynecology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Mingyang Zhang
- Institute of Forensic Sciences, Suzhou Medical College, Soochow University, Suzhou, 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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Li J, Yu T, Sun J, Ma M, Zheng Z, He Y, Kang W, Ye X. Integrated analysis of disulfidptosis-related immune genes signature to boost the efficacy of prognostic prediction in gastric cancer. Cancer Cell Int 2024; 24:112. [PMID: 38528532 DOI: 10.1186/s12935-024-03294-5] [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: 12/25/2023] [Accepted: 03/06/2024] [Indexed: 03/27/2024] Open
Abstract
BACKGROUND Gastric cancer (GC) remains a malignant tumor with high morbidity and mortality, accounting for approximately 1,080,000 diagnosed cases and 770,000 deaths worldwide annually. Disulfidptosis, characterized by the stress-induced abnormal accumulation of disulfide, is a recently identified form of programmed cell death. Substantial studies have demonstrated the significant influence of immune clearance on tumor progression. Therefore, we aimed to explore the intrinsic correlations between disulfidptosis and immune-related genes (IRGs) in GC, as well as the potential value of disulfidptosis-related immune genes (DRIGs) as biomarkers. METHODS This study incorporated the single-cell RNA sequencing (scRNA-seq) dataset GSE183904 and transcriptome RNA sequencing of GC from the TCGA database. Disulfidptosis-related genes (DRGs) and IRGs were derived from the representative literature on both cell disulfidptosis and immunity. The expression and distribution of DRGs were investigated at the single-cell level in different GC cell types. Pearson correlation analysis was used to identify the IRGs closely related to disulfidptosis. The prognostic signature of DRIGs was established using Cox and LASSO analyses. We then analyzed and evaluated the differences in long-term prognosis, Gene Set Enrichment Analysis (GSEA), immune infiltration, mutation profile, CD274 expression, and response to chemotherapeutic drugs between the two groups. A tissue array containing 63 paired GC specimens was used to verify the expression of 4 DRIGs and disulfidptosis regulator SLC7A11 through immunohistochemistry staining. RESULTS The scRNA-seq analysis found that SLC7A11, SLC3A2, RPN1 and NCKAP1 were enriched in specific cell types and closely related to immune infiltration. Four DIRGs (GLA, HIF-1α, VPS35 and CDC37) were successfully identified to establish a signature to potently predict the survival time of GC patients. Patients with high risk scores generally experienced worse prognoses and exhibited greater resistant to classical chemotherapy drugs. Furthermore, the expression of GLA, HIF-1α, VPS35, CDC37 and SLC7A11 were elevated in GC tissues. A high expression of GLA, HIF-1α, VPS35 or CDC37 was associated with more advanced clinical stage of GC and increased SLC7A11 expression. CONCLUSION Current study first highlights the potential value of DRIGs as biomarkers in GC. We successfully constructed a robust model incorporating four DRIGs to accurately predict the survival time and clinicopathological characteristics of GC patients.
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Affiliation(s)
- Jie Li
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, Beijing, 100730, Republic of China
| | - Tian Yu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, Beijing, 100730, Republic of China
| | - Juan Sun
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, Beijing, 100730, Republic of China
| | - Mingwei Ma
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, Beijing, 100730, Republic of China
| | - Zicheng Zheng
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, Beijing, 100730, Republic of China
| | - Yixuan He
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, Beijing, 100730, Republic of China
| | - Weiming Kang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, Beijing, 100730, Republic of China.
| | - Xin Ye
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, No.1 Shuaifu Yuan, Dongcheng District, Beijing, 100730, Republic of China.
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Ni L, Yu Q, You R, Chen C, Peng B. Development of the RF-GSEA Method for Identifying Disulfidptosis-Related Genes and Application in Hepatocellular Carcinoma. Curr Issues Mol Biol 2023; 45:9450-9470. [PMID: 38132439 PMCID: PMC10741996 DOI: 10.3390/cimb45120593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 11/22/2023] [Accepted: 11/23/2023] [Indexed: 12/23/2023] Open
Abstract
Disulfidptosis is a newly discovered cellular programmed cell death mode. Presently, a considerable number of genes related to disulfidptosis remain undiscovered, and its significance in hepatocellular carcinoma remains unrevealed. We have developed a powerful analytical method called RF-GSEA for identifying potential genes associated with disulfidptosis. This method draws inspiration from gene regulation networks and graph theory, and it is implemented through a combination of random forest regression model and Gene Set Enrichment Analysis. Subsequently, to validate the practical application value of this method, we applied it to hepatocellular carcinoma. Based on the RF-GSEA method, we developed a disulfidptosis-related signature. Lastly, we looked into how the disulfidptosis-related signature is connected to HCC prognosis, the tumor microenvironment, the effectiveness of immunotherapy, and the sensitivity of chemotherapy drugs. The RF-GSEA method identified a total of 220 disulfidptosis-related genes, from which 7 were selected to construct the disulfidptosis-related signature. The high-disulfidptosis-related score group had a worse prognosis compared to the low-disulfidptosis-related score group and showed lower infiltration levels of immune-promoting cells. The high-disulfidptosis-related score group had a higher likelihood of benefiting from immunotherapy compared to the low-disulfidptosis-related score group. The RF-GSEA method is a powerful tool for identifying disulfidptosis-related genes. The disulfidptosis-related signature effectively predicts HCC prognosis, immunotherapy response, and drug sensitivity.
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Affiliation(s)
| | | | | | | | - Bin Peng
- School of Public Health, Chongqing Medical University, Chongqing 400016, China
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10
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Li XM, Liu SP, Liu DM, Li Y, Cai XM, Su Y, Xie ZF. Identification of disulfidptosis-related genes and immune infiltration in lower-grade glioma. Open Med (Wars) 2023; 18:20230825. [PMID: 37900961 PMCID: PMC10612529 DOI: 10.1515/med-2023-0825] [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: 06/23/2023] [Revised: 09/20/2023] [Accepted: 10/03/2023] [Indexed: 10/31/2023] Open
Abstract
Lower-grade glioma (LGG), a prevalent malignant tumor in the central nervous system, requires accurate prediction and treatment to prevent aggressive progression. We aimed to explore the role of disulfidptosis-related genes (DRGs) in LGG, a recently discovered form of programmed cell death characterized by abnormal disulfide accumulation. Leveraging public databases, we analyzed 532 LGG tumor tissues (The Cancer Genome Atlas), 1,157 normal samples (Genotype-Tissue Expression), and 21 LGG tumor samples with 8 paired normal samples (GSE16011). Our research uncovered intricate relationships between DRGs and crucial aspects of LGG, including gene expression, immune response, mutation, drug sensitivity, and functional enrichment. Notably, we identified significant heterogeneity among disulfidptosis sub-clusters and elucidated specific differential gene expression in LGG, with myeloid cell leukemia-1 (MCL1) as a key candidate. Machine learning techniques validated the relevance of MCL1, considering its expression patterns, prognostic value, diagnostic potential, and impact on immune infiltration. Our study offers opportunities and challenges to unravel potential mechanisms underlying LGG prognosis, paving the way for personalized cancer care and innovative immunotherapeutic strategies. By shedding light on DRGs, particularly MCL1, we enhance understanding and management of LGG.
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Affiliation(s)
- Xiao-min Li
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Shan-peng Liu
- Laboratory of Brain Disorders, Ministry of Science and Technology, Joint Innovation Center for Brain Disorders, Beijing Institute of Brain Disorders, Capital Medical University, Beijing, China
| | - Dan-man Liu
- Breast Surgery Clinics, Guangdong Province Women and Children Hospital, Guangzhou, China
| | - Yu Li
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Xiao-ming Cai
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Yun Su
- Department of Microbiology & Immunology, Shantou University Medical College, 22 Xinling Road, Shantou515041, Guangdong, China
| | - Ze-feng Xie
- The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
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11
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Chen P, Shen J. A Disulfidptosis-Related Gene Signature Associated with Prognosis and Immune Cell Infiltration in Osteosarcoma. Bioengineering (Basel) 2023; 10:1121. [PMID: 37892851 PMCID: PMC10603950 DOI: 10.3390/bioengineering10101121] [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: 08/22/2023] [Revised: 09/17/2023] [Accepted: 09/21/2023] [Indexed: 10/29/2023] Open
Abstract
Osteosarcoma (OS) stands as a leading aggressive bone malignancy that primarily affects children and adolescents worldwide. A recently identified form of programmed cell death, termed Disulfidptosis, may have implications for cancer progression. Yet, its role in OS remains elusive. To elucidate this, we undertook a thorough examination of Disulfidptosis-related genes (DRGs) within OS. This involved parsing expression data, clinical attributes, and survival metrics from the TARGET and GEO databases. Our analysis unveiled a pronounced association between the expression of specific DRGs, particularly MYH9 and LRPPRC, and OS outcome. Subsequent to this, we crafted a risk model and a nomogram, both honed for precise prognostication of OS prognosis. Intriguingly, risks associated with DRGs strongly resonated with immune cell infiltration levels, myriad immune checkpoints, genes tethered to immunotherapy, and sensitivities to systematic treatments. To conclude, our study posits that DRGs, especially MYH9 and LRPPRC, hold potential as pivotal architects of the tumor immune milieu in OS. Moreover, they may offer predictive insights into treatment responses and serve as reliable prognostic markers for those diagnosed with OS.
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Affiliation(s)
| | - Jingnan Shen
- Department of Musculoskeletal Oncology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou 510080, China
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