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Wang X, Ren X, Lin X, Li Q, Zhang Y, Deng J, Chen B, Ru G, Luo Y, Lin N. Recent progress of ferroptosis in cancers and drug discovery. Asian J Pharm Sci 2024; 19:100939. [PMID: 39246507 PMCID: PMC11378902 DOI: 10.1016/j.ajps.2024.100939] [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: 05/17/2023] [Revised: 03/08/2024] [Accepted: 04/30/2024] [Indexed: 09/10/2024] Open
Abstract
Ferroptosis is a nonapoptotic form of cell death characterized by iron dependence and lipid peroxidation. Ferroptosis is involved in a range of pathological processes, such as cancer. Many studies have confirmed that ferroptosis plays an essential role in inhibiting cancer cell proliferation. In addition, a series of small-molecule compounds have been developed, including erastin, RSL3, and FIN56, which can be used as ferroptosis inducers. The combination of ferroptosis inducers with anticancer drugs can produce a significant synergistic effect in cancer treatment, and patients treated with these combinations exhibit a better prognosis than patients receiving traditional therapy. Therefore, a thorough understanding of the roles of ferroptosis in cancer is of great significance for the treatment of cancer. This review mainly elaborates the molecular biological characteristics and mechanism of ferroptosis, summarizes the function of ferroptosis in cancer development and treatment,illustrates the application of ferroptosis in patient's prognosis prediction and drug discovery, and discusses the prospects of targeting ferroptosis.
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Affiliation(s)
- Xiang Wang
- Department of Pharmacy, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou 310006, China
| | - Xinxin Ren
- Department of Pathology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou 310014, China
- Key Laboratory of Endocrine Gland Diseases of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou 310014, China
- Clinical Research Center for Cancer of Zhejiang Province, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou 310014, China
| | - Xu Lin
- Department of Thoracic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Qi Li
- Department of Pharmacy, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou 310006, China
| | - Yingqiong Zhang
- Department of Pharmacy, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou 310006, China
| | - Jun Deng
- Department of Pharmacy, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou 310006, China
| | - Binxin Chen
- Department of Pharmacy, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou 310006, China
| | - Guoqing Ru
- Department of Pathology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou 310014, China
| | - Ying Luo
- Department of Pharmacy, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou 310006, China
| | - Nengming Lin
- Department of Pharmacy, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou 310006, China
- Cancer Center, Zhejiang University, Hangzhou 310058, China
- Westlake Laboratory of Life Sciences and Biomedicine of Zhejiang Province, Hangzhou 310024, China
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Qin Y, Sheng Y, Ren M, Hou Z, Xiao L, Chen R. Identification of necroptosis-related gene signatures for predicting the prognosis of ovarian cancer. Sci Rep 2024; 14:11133. [PMID: 38750159 PMCID: PMC11096311 DOI: 10.1038/s41598-024-61849-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 05/10/2024] [Indexed: 05/18/2024] Open
Abstract
Ovarian cancer (OC) is one of the most prevalent and fatal malignant tumors of the female reproductive system. Our research aimed to develop a prognostic model to assist inclinical treatment decision-making.Utilizing data from The Cancer Genome Atlas (TCGA) and copy number variation (CNV) data from the University of California Santa Cruz (UCSC) database, we conducted analyses of differentially expressed genes (DEGs), gene function, and tumor microenvironment (TME) scores in various clusters of OC samples.Next, we classified participants into low-risk and high-risk groups based on the median risk score, thereby dividing both the training group and the entire group accordingly. Overall survival (OS) was significantly reduced in the high-risk group, and two independent prognostic factors were identified: age and risk score. Additionally, three genes-C-X-C Motif Chemokine Ligand 10 (CXCL10), RELB, and Caspase-3 (CASP3)-emerged as potential candidates for an independent prognostic signature with acceptable prognostic value. In Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, pathways related to immune responses and inflammatory cell chemotaxis were identified. Cellular experiments further validated the reliability and precision of our findings. In conclusion, necroptosis-related genes play critical roles in tumor immunity, and our model introduces a novel strategy for predicting the prognosis of OC patients.
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Affiliation(s)
- Yuling Qin
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixiange Road, Xicheng District, Beijing, 100053, China
| | - Yawen Sheng
- Shandong University of Traditional Chinese Medicine, Jinan, 250014, Shandong, China
| | - Mengxue Ren
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixiange Road, Xicheng District, Beijing, 100053, China
| | - Zitong Hou
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixiange Road, Xicheng District, Beijing, 100053, China
| | - Lu Xiao
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixiange Road, Xicheng District, Beijing, 100053, China
| | - Ruixue Chen
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, No. 5, Beixiange Road, Xicheng District, Beijing, 100053, China.
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Zhang S, Liu S, Yue C, Liu Y, Zheng G, Zhang Y. Identification of necroptosis-associated miRNA signature for predicting prognosis and immune landscape in stomach adenocarcinoma. Exp Cell Res 2024; 436:113948. [PMID: 38307189 DOI: 10.1016/j.yexcr.2024.113948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/16/2024] [Accepted: 01/21/2024] [Indexed: 02/04/2024]
Abstract
PURPOSE This study aims to identify the potential necroptosis related genes (NRGs)-associated miRNAs signature and explore the impact on the prognosis of stomach adenocarcinoma (STAD). METHODS Employing rigorous methodologies, we utilized univariate Cox, Lasso and multivariate Cox regression analyses to develop a prognostic signature. Kaplan-Meier (K-M) and ROC curves were applied to assess the prognostic value of signature in a training group and an independent test group. Furthermore, we conducted Gene Set Enrichment Analysis (GSEA) for enrichment of tumor-related pathways. The risk score was calculated for each patient based on the expression of miRNAs which were enrolled in the signature. Patients were stratified into high- and low-risk groups. The immune cell infiltration and immunotherapy were compared between the two groups. Finally, the diagnostic potential of the miRNA was explored by RT-qPCR. RESULTS We constructed a prognostic model based on 6 NRGs-associated miRNAs. K-M plots underscored superior survival outcomes in the low-risk group. GSEA results revealed the enrichment of several tumor-related pathways in the high-risk group. Notably, CD8+ T cells, Tregs and activated memory CD4+ T cells exhibited negative correlations with the risk score. Additionally, a few immune checkpoint genes, such as CTLA4, PD1 and PD-L1, were significantly upregulated in the low-risk group. Furthermore, the serum expression levels of all these 6 miRNAs were significantly elevated in STAD patients. CONCLUSIONS Our study identified a robust risk score derived from a signature of 6 NRGs-associated miRNAs, demonstrating high efficacy for prognosis of STAD. These results not only contributed to our understanding of STAD pathogenesis, but also held promise for potential clinical applications, particularly in the realm of personalized immunotherapy for STAD patients.
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Affiliation(s)
- Shoucai Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University,Jinan, 250012, Shandong Province, China; Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, China
| | - Shichao Liu
- Department of Clinical Laboratory, Qilu Hospital of Shandong University,Jinan, 250012, Shandong Province, China
| | - Congbo Yue
- Clinical Laboratory of Qingdao Women and Children's Hospital Affiliated to Qingdao University, China
| | - Yingjie Liu
- Department of Clinical Laboratory, Qilu Hospital of Shandong University,Jinan, 250012, Shandong Province, China; Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, China
| | - Guixi Zheng
- Department of Clinical Laboratory, Qilu Hospital of Shandong University,Jinan, 250012, Shandong Province, China; Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, China
| | - Yi Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University,Jinan, 250012, Shandong Province, China; Shandong Engineering Research Center of Biomarker and Artificial Intelligence Application, China.
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Wilczyński J, Paradowska E, Wilczyński M. Personalization of Therapy in High-Grade Serous Tubo-Ovarian Cancer-The Possibility or the Necessity? J Pers Med 2023; 14:49. [PMID: 38248751 PMCID: PMC10817599 DOI: 10.3390/jpm14010049] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 12/17/2023] [Accepted: 12/25/2023] [Indexed: 01/23/2024] Open
Abstract
High-grade serous tubo-ovarian cancer (HGSTOC) is the most lethal tumor of the female genital tract. The foregoing therapy consists of cytoreduction followed by standard platinum/taxane chemotherapy; alternatively, for primary unresectable tumors, neo-adjuvant platinum/taxane chemotherapy followed by delayed interval cytoreduction. In patients with suboptimal surgery or advanced disease, different forms of targeted therapy have been accepted or tested in clinical trials. Studies on HGSTOC discovered its genetic and proteomic heterogeneity, epigenetic regulation, and the role of the tumor microenvironment. These findings turned attention to the fact that there are several distinct primary tumor subtypes of HGSTOC and the unique biology of primary, metastatic, and recurrent tumors may result in a differential drug response. This results in both chemo-refractoriness of some primary tumors and, what is significantly more frequent and destructive, secondary chemo-resistance of metastatic and recurrent HGSTOC tumors. Treatment possibilities for platinum-resistant disease include several chemotherapeutics with moderate activity and different targeted drugs with difficult tolerable effects. Therefore, the question appears as to why different subtypes of ovarian cancer are predominantly treated based on the same therapeutic schemes and not in an individualized way, adjusted to the biology of a specific tumor subtype and temporal moment of the disease. The paper reviews the genomic, mutational, and epigenetic signatures of HGSTOC subtypes and the tumor microenvironment. The clinical trials on personalized therapy and the overall results of a new, comprehensive approach to personalized therapy for ovarian cancer have been presented and discussed.
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Affiliation(s)
- Jacek Wilczyński
- Department of Gynecological Surgery and Gynecological Oncology, Medical University of Lodz, 4 Kosciuszki Street, 90-419 Lodz, Poland
| | - Edyta Paradowska
- Laboratory of Virology, Institute of Medical Biology of the Polish Academy of Sciences, 106 Lodowa Street, 93-232 Lodz, Poland;
| | - Miłosz Wilczyński
- Department of Gynecological, Endoscopic and Oncological Surgery, Polish Mother’s Health Center—Research Institute, 281/289 Rzgowska Street, 93-338 Lodz, Poland;
- Department of Surgical and Endoscopic Gynecology, Medical University of Lodz, 4 Kosciuszki Street, 90-419 Lodz, Poland
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Ruan D, Wen J, Fang F, Lei Y, Zhao Z, Miao Y. Ferroptosis in epithelial ovarian cancer: a burgeoning target with extraordinary therapeutic potential. Cell Death Discov 2023; 9:434. [PMID: 38040696 PMCID: PMC10692128 DOI: 10.1038/s41420-023-01721-6] [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: 04/25/2023] [Revised: 10/15/2023] [Accepted: 11/13/2023] [Indexed: 12/03/2023] Open
Abstract
Epithelial ovarian cancer (EOC) is universally acknowledged as a terrifying women killer for its high mortality. Recent research advances support that ferroptosis, an emerging iron-dependent type of regulated cell death (RCD) triggered by the excessive accumulation of lipid peroxides probably possesses extraordinary therapeutic potential in EOC therapy. Herein, we firstly provide a very concise introduction of ferroptosis. Special emphasis will be put on the ferroptosis's vital role in EOC, primarily covering its role in tumorigenesis and progression of EOC, the capability of reversing chemotherapy resistance, and the research and development of related therapeutic strategies. Furthermore, the construction of ferroptosis-related prognostic prediction systems, and mechanisms of ferroptosis resistance in EOC are also discussed. Finally, we propose and highlight several important yet unanswered problems and some future research directions in this field.
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Affiliation(s)
- Danhua Ruan
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, West China Second University Hospital, West China Campus, Sichuan University, Chengdu, 610041, Sichuan Province, China
- State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Jirui Wen
- Deep Underground Space Medical Center, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Fei Fang
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Yuqin Lei
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, West China Second University Hospital, West China Campus, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Zhiwei Zhao
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, 610041, Sichuan Province, China.
| | - Yali Miao
- Department of Obstetrics and Gynecology, Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, West China Second University Hospital, West China Campus, Sichuan University, Chengdu, 610041, Sichuan Province, China.
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Schröder L, Rupp ABA, Gihr KME, Kobilay M, Domroese CM, Mallmann MR, Holdenrieder S. Immunogenic Biomarkers HMGB1 and sRAGE Are Potential Diagnostic Tools for Ovarian Malignancies. Cancers (Basel) 2023; 15:5081. [PMID: 37894448 PMCID: PMC10605106 DOI: 10.3390/cancers15205081] [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: 09/02/2023] [Revised: 10/16/2023] [Accepted: 10/17/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND High mobility group box 1 (HMGB1), soluble receptor of advanced glycation end products (sRAGE) and programmed cell death markers PD-1 and PD-L1 are immunogenic serum biomarkers that may serve as novel diagnostic tools for cancer diagnosis. METHODS We investigated the four markers in sera of 231 women, among them 76 with ovarian cancer, 87 with benign diseases and 68 healthy controls, using enzyme immunoassays. Discrimination between groups was calculated using receiver operating characteristic (ROC) curves and sensitivities at fixed 90% and 95% specificities. RESULTS HMGB1 levels were significantly elevated and sRAGE levels were decreased in cancer patients as compared to benign and healthy controls. In consequence, the ratio of HMGB1 and sRAGE discriminated best between diagnostic groups. The areas under the curve (AUCs) of the ROC curves for differentiation of cancer vs. healthy were 0.77 for HMGB1, 0.65 for sRAGE and 0.78 for the HMGB1/sRAGE ratio, and slightly lower for the differentiation of cancer vs. benigns with 0.72 for HMGB1, 0.61 for sRAGE and 0.74 for the ratio of both. The highest sensitivities for cancer detection at 90% specificity versus benign diseases were achieved using HMGB1 with 41.3% and the HMGB1/sRAGE ratio with 39.2%, followed by sRAGE with 18.9%. PD-1 showed only minor and PD-L1 no power for discrimination between ovarian cancer and benign diseases. CONCLUSION HMGB1 and sRAGE have differential diagnostic potential for ovarian cancer detection and warrant inclusion in further validation studies.
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Affiliation(s)
- Lars Schröder
- Department of Obstetrics and Gynecology, University Hospital Cologne, 50931 Cologne, Germany
- Department of Obstetrics and Gynecology, Ketteler Hospital, 63071 Offenbach, Germany
| | - Alexander B. A. Rupp
- Institute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, 53127 Bonn, Germany
- Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Centre, Technical University Munich, 80636 Munich, Germany
| | - Kathrin M. E. Gihr
- Institute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, 53127 Bonn, Germany
| | - Makbule Kobilay
- Institute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, 53127 Bonn, Germany
| | - Christian M. Domroese
- Department of Obstetrics and Gynecology, University Hospital Cologne, 50931 Cologne, Germany
| | - Michael R. Mallmann
- Department of Obstetrics and Gynecology, University Hospital Cologne, 50931 Cologne, Germany
| | - Stefan Holdenrieder
- Institute of Clinical Chemistry and Clinical Pharmacology, University Hospital Bonn, 53127 Bonn, Germany
- Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Centre, Technical University Munich, 80636 Munich, Germany
- CEBIO GmbH—Center for Evaluation of Biomarkers, 81679 Munich, Germany
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Zhang M, Wang Y, Xu S, Huang S, Wu M, Chen G, Wang Y. Endoplasmic Reticulum Stress-Related Ten-Biomarker Risk Classifier for Survival Evaluation in Epithelial Ovarian Cancer and TRPM2: A Potential Therapeutic Target of Ovarian Cancer. Int J Mol Sci 2023; 24:14010. [PMID: 37762313 PMCID: PMC10530916 DOI: 10.3390/ijms241814010] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/30/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
Epithelial ovarian cancer (EOC) is the most lethal gynecological malignant tumor. Endoplasmic reticulum (ER) stress plays an important role in the malignant behaviors of several tumors. In this study, we established a risk classifier based on 10 differentially expressed genes related to ER stress to evaluate the prognosis of patients and help to develop novel medical decision-making for EOC cases. A total of 378 EOC cases with transcriptome data from the TCGA-OV public dataset were included. Cox regression analysis was used to establish a risk classifier based on 10 ER stress-related genes (ERGs). Then, through a variety of statistical methods, including survival analysis and receiver operating characteristic (ROC) methods, the prediction ability of the proposed classifier was tested and verified. Similar results were confirmed in the GEO cohort. In the immunoassay, the different subgroups showed different penetration levels of immune cells. Finally, we conducted loss-of-function experiments to silence TRPM2 in the human EOC cell line. We created a 10-ERG risk classifier that displays a powerful capability of survival evaluation for EOC cases, and TRPM2 could be a potential therapeutic target of ovarian cancer cells.
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Affiliation(s)
- Minghai Zhang
- Department of Obstetrics and Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China; (M.Z.)
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, China
| | - Yingjie Wang
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translational Research Center, Shanghai First Maternity and Infant Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China
| | - Shilin Xu
- Department of Obstetrics and Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China; (M.Z.)
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, China
| | - Shan Huang
- Department of Obstetrics and Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China; (M.Z.)
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, China
| | - Meixuan Wu
- Department of Obstetrics and Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China; (M.Z.)
- Department of Obstetrics and Gynecology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, China
| | - Guangquan Chen
- Department of Obstetrics and Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China; (M.Z.)
| | - Yu Wang
- Department of Obstetrics and Gynecology, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China; (M.Z.)
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Geng R, Zhong Z, Ni S, Liu W, He Z, Gan S, Huang Q, Yu H, Bai J, Liu J. Necroptosis-Related Modification Patterns Depict the Tumor Microenvironment, Redox Stress Landscape, and Prognosis of Ovarian Cancer. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2023; 2023:4945288. [PMID: 37082103 PMCID: PMC10113055 DOI: 10.1155/2023/4945288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/29/2022] [Accepted: 01/19/2023] [Indexed: 04/22/2023]
Abstract
Necroptosis is one of programmed cell death discovered recently, which involves in tumorigenesis, cancer metastasis, and immune reaction. We studied the necroptosis-related genes (NRGs) in ovarian cancer (OV) tissues using data from public databases, which separated into two NRGclusters. Patients in cluster A would have severe clinical characteristics, poor prognosis, and worse tumor microenvironment infiltration characteristics. The NRG score was achieved through the Cox analysis, along with a construction of a prognostic model. People with lower risk score would have better prognosis, lower expression of redox related genes, higher immunogenicity, and better effect on immunotherapy. In addition, the NRG score was closely related to cancer stem cell index, copy number variations, tumor mutation load, and chemosensitivity. We built a nomogram to enhance clinical application of the signature. These outcomes can help use know the function of NRGs in OV and provide new ideas for evaluating clinical outcome and developing more effective treatment protocols.
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Affiliation(s)
- Rui Geng
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, China
| | - Zihang Zhong
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, China
| | - Senmiao Ni
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, China
| | - Wen Liu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, China
| | - Zhiqiang He
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, China
| | - Shilin Gan
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, China
| | - Qinghao Huang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, China
| | - Hao Yu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, China
| | - Jianling Bai
- Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Jiangning District, Nanjing 211166, China
| | - Jinhui Liu
- Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029 Jiangsu, China
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Tan Z, Huang H, Sun W, Li Y, Jia Y. Current progress of ferroptosis study in ovarian cancer. Front Mol Biosci 2022; 9:966007. [PMID: 36090052 PMCID: PMC9458863 DOI: 10.3389/fmolb.2022.966007] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 06/30/2022] [Indexed: 11/13/2022] Open
Abstract
Tumors are the leading cause of death all over the world, among which ovarian cancer ranks the third in gynecological malignancies. The current treatment for ovarian cancer is liable to develop chemotherapy resistance and high recurrence rate, in which a new strategy is demanded. Ferroptosis, a newly discovered manner of regulatory cell death, is shown to be induced by massive iron-dependent accumulation of lipid reactive oxygen species. With the in-depth study of ferroptosis, its associated mechanism with various tumors is gradually elucidated, including ovarian tumor, which probably promotes the application of ferroptosis in treating ovarian cancer. To this end, this review will focus on the history and current research progress of ferroptosis, especially its regulation mechanism, and its potential application as a novel treatment strategy for ovarian cancer.
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Lin L, Chen L, Xie Z, Chen J, Li L, Lin A. Identification of NAD+ Metabolism-Derived Gene Signatures in Ovarian Cancer Prognosis and Immunotherapy. Front Genet 2022; 13:905238. [PMID: 35783253 PMCID: PMC9243463 DOI: 10.3389/fgene.2022.905238] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 05/18/2022] [Indexed: 12/14/2022] Open
Abstract
Background: Nicotinamide adenine dinucleotide (NAD+) has emerged as a critical regulator of cell signaling and survival pathways, affecting tumor initiation and progression. In this study it was investigated whether circulating NAD+ metabolism-related genes (NMRGs) could be used to predict immunotherapy response in ovarian cancer (OC) patients. Method: In this study, NMRGs were comprehensively examined in OC patients, three distinct NMRGs subtypes were identified through unsupervised clustering, and an NAD+-related prognostic model was generated based on LASSO Cox regression analysis and generated a risk score (RS). ROC curves and an independent validation cohort were used to assess the model’s accuracy. A GSEA enrichment analysis was performed to investigate possible functional pathways. Furthermore, the role of RS in the tumor microenvironment, immunotherapy, and chemotherapy was also investigated. Result: We found three different subgroups based on NMRGs expression patterns. Twelve genes were selected by LASSO regression to create a prognostic risk signature. High-RS was founded to be linked to a worse prognosis. In Ovarian Cancer Patients, RS is an independent prognostic marker. Immune infiltrating cells were considerably overexpressed in the low-RS group, as immune-related functional pathways were significantly enriched. Furthermore, immunotherapy prediction reveal that patients with low-RS are more sensitive to immunotherapy. Conclusion: For a patient with OC, NMRGs are promising biomarkers. Our prognostic signature has potential predictive value for OC prognosis and immunotherapy response. The results of this study may help improve our understanding of NMRG in OCs.
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Affiliation(s)
| | | | | | | | - Ling Li
- *Correspondence: Ling Li, ; An Lin,
| | - An Lin
- *Correspondence: Ling Li, ; An Lin,
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