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Li S, Tao K, Yun H, Yang J, Meng Y, Zhang F, Ma X. Ferroptosis is a protective factor for the prognosis of cancer patients: a systematic review and meta-analysis. BMC Cancer 2024; 24:604. [PMID: 38760742 PMCID: PMC11102205 DOI: 10.1186/s12885-024-12369-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 05/10/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Cancer is a leading global cause of death. Conventional cancer treatments like surgery, radiation, and chemotherapy have associated side effects. Ferroptosis, a nonapoptotic and iron-dependent cell death, has been identified and differs from other cell death types. Research has shown that ferroptosis can promote and inhibit tumor growth, which may have prognostic value. Given the unclear role of ferroptosis in cancer biology, this meta-analysis aims to investigate its impact on cancer prognosis. METHODS This systematic review and meta-analysis conducted searches on PubMed, Embase, and the Cochrane Library databases. Eight retrospective studies were included to compare the impact of ferroptosis inhibition and promotion on cancer patient prognosis. The primary endpoints were overall survival (OS) and progression-free survival (PFS). Studies lacking clear descriptions of hazard ratios (HR) and 95% confidence intervals for OS and PFS were excluded. Random-effects meta-analysis and meta-regression were performed on the included study data to assess prognosis differences between the experimental and control groups. Meta-analysis results included HR and 95% confidence intervals. This study has been registered with PROSPERO, CRD 42023463720 on September 27, 2023. RESULTS A total of 2,446 articles were screened, resulting in the inclusion of 5 articles with 938 eligible subjects. Eight studies were included in the meta-analysis after bias exclusion. The meta-analysis, after bias exclusion, demonstrated that promoting ferroptosis could increase cancer patients' overall survival (HR 0.31, 95% CI 0.21-0.44) and progression-free survival (HR 0.26, 95% CI 0.16-0.44) compared to ferroptosis inhibition. The results showed moderate heterogeneity, suggesting that biological activities promoting cancer cell ferroptosis are beneficial for cancer patient's prognosis. CONCLUSIONS This systematic review and meta-analysis demonstrated that the promotion of ferroptosis yields substantial benefits for cancer prognosis. These findings underscore the untapped potential of ferroptosis as an innovative anti-tumor therapeutic strategy, capable of addressing challenges related to drug resistance, limited therapeutic efficacy, and unfavorable prognosis in cancer treatment. REGISTRATION CRD42023463720.
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Affiliation(s)
- Shen Li
- Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan, China
| | - Kai Tao
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hong Yun
- Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan, China
| | - Jiaqing Yang
- Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan, China
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuanling Meng
- West China School of Stomatology, Sichuan University, Chengdu, Sichuan, China
| | - Fan Zhang
- Health Management Center, General Practice Medical Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Xuelei Ma
- Department of Biotherapy, West China Hospital and State Key Laboratory of Biotherapy, Sichuan University, Chengdu, Sichuan, China.
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Zhang C, Lin Q, Li C, Qiu Y, Chen J, Zhu X. Comprehensive analysis of the prognostic implication and immune infiltration of CISD2 in diffuse large B-cell lymphoma. Front Immunol 2023; 14:1277695. [PMID: 38155967 PMCID: PMC10754510 DOI: 10.3389/fimmu.2023.1277695] [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: 08/15/2023] [Accepted: 11/15/2023] [Indexed: 12/30/2023] Open
Abstract
Background Diffuse large B-cell lymphoma (DLBCL) is the most common B-cell lymphoma in adults. CDGSH iron sulfur domain 2 (CISD2) is an iron-sulfur protein and plays a critical role of cell proliferation. The aberrant expression of CISD2 is associated with the progression of multiple cancers. However, its role in DLBCL remains unclear. Methods The differential expression of CISD2 was identified via public databases, and quantitative real-time PCR (qRT-PCR) and western blot were used to identifed the expression of CISD2. We estimated the impact of CISD2 on clinical prognosis using the Kaplan-Meier plotter. Meanwhile, the drug sensitivity of CISD2 was assessed using CellMiner database. The 100 CISD2-related genes from STRING obtained and analyzed using the LASSO Cox regression. A CISD2 related signature for risk model (CISD2Risk) was established. The PPI network of CISD2Risk was performed, and functional enrichment was conducted through the DAVID database. The impacts of CISD2Risk on clinical features were analyzed. ESTIMATE, CIBERSORT, and MCP-counter algorithm were used to identify CISD2Risk associated with immune infiltration. Subsequently, Univariate and multivariate Cox regression analysis were applied, and a prognostic nomogram, accompanied by a calibration curve, was constructed to predict 1-, 3-, and 5-years survival probabilities. Results CISD2 was upregulated in DLBCL patients comparing with normal controls via public datasets, similarly, CISD2 was highly expressed in DLBCL cell lines. Overexpression of CISD2 was associated with poor prognosis in DLBCL patients based on the GSE31312, the GSE32918, and GSE93984 datasets (P<0.05). Nine drugs was considered as a potential therapeutic agents for CISD2. By using the LASSO cox regression, twenty seven genes were identified to construct CISD2Risk, and biological functions of these genes might be involved in apoptosis and P53 signaling pathway. The high CISD2Risk value had a worse prognosis and therapeutic effect (P<0.05). The higher stromal score, immune score, and ESTIMATE score were associated with lowe CISD2Risk value, CISD2Risk was negatively correlated with several immune infiltrating cells (macrophages M0 and M1, CD8 T cells, CD4 naïve T cells, NK cell, etc) that might be correlated with better prognosis. Additionally, The high CISD2Risk was identified as an independent prognostic factor for DLBCL patients using both univariate and multivariate Cox regression. The nomogram produced accurate predictions and the calibration curves were in good agreement. Conclusion Our study demonstrates that high expression of CISD2 in DLBCL patients is associated with poor prognosis. We have successfully constructed and validated a good prognostic prediction and efficacy monitoring for CISD2Risk that included 27 genes. Meanwhile, CISD2Risk may be a promising evaluator for immune infiltration and serve as a reference for clinical decision-making in DLBCL patients.
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Affiliation(s)
- ChaoFeng Zhang
- Department of Haematology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China
- Department of Hematology and Rheumatology, The Affiliated Hospital of Putian University, Putian, China
- The School of Basic Medicine, Putian University, Putian, China
| | - Qi Lin
- Department of Pharmacy, The Affiliated Hospital of Putian University, Putian, China
| | - ChunTuan Li
- Department of Haematology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China
| | - Yang Qiu
- The School of Basic Medicine, Putian University, Putian, China
| | - JingYu Chen
- The School of Basic Medicine, Putian University, Putian, China
| | - XiongPeng Zhu
- Department of Haematology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China
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Huang QT, Hu QQ, Wen ZF, Li YL. Iron oxide nanoparticles inhibit tumor growth by ferroptosis in diffuse large B-cell lymphoma. Am J Cancer Res 2023; 13:498-508. [PMID: 36895978 PMCID: PMC9989617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 10/26/2022] [Indexed: 03/11/2023] Open
Abstract
Since the approval by the Food and Drug Administration (FDA), ferumoxytol and other iron oxide nanoparticles (IONs) have been widely used as iron supplements for patients with iron deficiency. Meanwhile, IONs have also been used as contrast agents in magnetic resonance imaging and as drug carriers. Importantly, IONs have demonstrated a significant inhibitory effect on the growth of tumors, including hematopoietic and lymphoid tumors, such as leukemia. In this study, we further demonstrated the effect of IONs on inhibiting the growth of diffuse large B-cell lymphoma (DLBCL) cells by enhancing ferroptosis-mediated cell death. IONs treatment caused an accumulation of intracellular ferrous iron and the onset of lipid peroxidation in DLBCL cells as well as the suppressed expression of anti-ferroptosis protein Glutathione Peroxidase 4 (GPX4), thereby leading to increased ferroptosis. Mechanistically, IONs increased cellular lipid peroxidation through the generation of ROS via the Fenton reaction and regulating the iron metabolism-related proteins, such as ferroportin (FPN) and transferrin receptor (TFR), which elevated the intracellular labile iron pool (LIP). Hence, our findings suggest the potential therapeutic effect of IONs on the treatment of patients with DLBCL.
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Affiliation(s)
- Qi-Tang Huang
- Department of Pathology, School of Basic Medical Sciences, Anhui Medical University Hefei 230032, Anhui, China
| | - Quan-Quan Hu
- Department of Pathology, School of Basic Medical Sciences, Anhui Medical University Hefei 230032, Anhui, China.,Department of Pathology, The Affiliated Anqing Hospital of Anhui Medical University Anqing 246003, Anhui, China
| | - Zhao-Feng Wen
- Department of Pathology, School of Basic Medical Sciences, Anhui Medical University Hefei 230032, Anhui, China
| | - Yan-Li Li
- Department of Pathology, School of Basic Medical Sciences, Anhui Medical University Hefei 230032, Anhui, China.,Department of Pathology, The Second Affiliated Hospital of Anhui Medical University Hefei 230601, Anhui, China
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Xu Z, Pan B, Li Y, Xia Y, Liang J, Kong Y, Zhang X, Tang J, Wang L, Li J, Xu W, Wu J. Identification and Validation of Ferroptosis-Related LncRNAs Signature as a Novel Prognostic Model for Chronic Lymphocytic Leukemia. Int J Gen Med 2023; 16:1541-1553. [PMID: 37131869 PMCID: PMC10149066 DOI: 10.2147/ijgm.s399629] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 03/27/2023] [Indexed: 05/04/2023] Open
Abstract
Background Chronic lymphocytic leukemia (CLL) is a subtype of B-cell malignancy with high heterogeneity. Ferroptosis is a novel cell death induced by iron and lipid peroxidation and exhibits prognostic value in many cancers. Emerging studies on long non-coding RNAs (lncRNAs) and ferroptosis reveal the unique value in tumorigenesis. However, the prognostic value of ferroptosis-related lncRNAs (FRLs) remains unclear in CLL. Aim We aimed to construct a FRLs risk model to predict prognosis and improve prognostic stratification for clinical practice. Methods RNA-sequencing data and clinical characteristics of CLL patients were downloaded from the GEO database. Based on ferroptosis-related genes from FerrDb database, differentially expressed FRLs with prognostic significance were identified and used to generate the risk model. The capability of the risk model was assessed and evaluated. GO and KEGG analyses were performed to confirm biological roles and potential pathways. Results A novel ferroptosis-related lncRNAs prognostic score (FPS) model containing six FRLs (PRKCQ, TRG.AS1, LNC00467, LNC01096, PCAT6 and SBF2.AS1) was identified. Patients in the training and validation cohort were evenly divided into high- and low-risk groups. Our results indicated that patients in the high-risk group had worse survival than those in the low-risk group. Functional enrichment analyses showed that the differently expressed genes (DEGs) between the two groups were enriched in the chemokine signaling pathway, hematopoietic cell lineage, T cell differentiation, TCR pathway and NF-κB pathway. Moreover, significant differences in immune cell infiltration were also observed. Surprisingly, FPS was proved to be an independent prognostic indicator for OS. Conclusion We established and evaluated a novel prognostic risk model with 6 FRLs that could predict prognosis accurately and describe the distinct immune infiltration in CLL.
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Affiliation(s)
- Zhangdi Xu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Bihui Pan
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Yue Li
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Yi Xia
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Jinhua Liang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Yilin Kong
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Xinyu Zhang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Jing Tang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Li Wang
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Jianyong Li
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Wei Xu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
| | - Jiazhu Wu
- Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, People’s Republic of China
- Key Laboratory of Hematology of Nanjing Medical University, Nanjing, People’s Republic of China
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing, People’s Republic of China
- Correspondence: Jiazhu Wu; Wei Xu, Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People’s Republic of China, Tel +86-25-83781120, Fax +86-25-83781120, Email ;
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Zhou Q, Li T, Qin Q, Huang X, Wang Y. Ferroptosis in lymphoma: Emerging mechanisms and a novel therapeutic approach. Front Genet 2022; 13:1039951. [PMID: 36406116 PMCID: PMC9669386 DOI: 10.3389/fgene.2022.1039951] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 10/24/2022] [Indexed: 11/16/2023] Open
Abstract
Unlike apoptosis, necroptosis, autophagy, and pyroptosis, ferroptosis represents a new type of cell death, which is characterized by iron-dependent lipid peroxidation. This process relies largely on the metabolite reactive oxygen species (ROS), phospholipids containing polyunsaturated fatty acids (PUFA-PL), transition metal iron, intra-, and intercellular signaling events, and environmental stress that regulate cellular metabolism and ROS levels. Recent studies show that ferroptosis plays an important role in tumorigenesis, tumor development, and the treatment of hematological malignancies, including lymphoma. Despite the constant emergence of new drugs, the differences in morphological features, immunophenotypes, biological patterns, rates of onset, and response to treatment in lymphoma pose major therapeutic challenges. Since lymphoma is associated with ferroptosis and shows sensitivity towards it, targeting the potential regulatory factors may regulate lymphoma progression. This has emerged as a research hotspot. This review summarizes the current knowledge on ferroptosis induction and resistance mechanisms, their roles and mechanistic details of ferroptosis in lymphoma suppression and immunity, and finally the treatment strategies for lymphoma by targeting ferroptosis.
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Affiliation(s)
- Qiao Zhou
- Clinical Immunology Translational Medicine Key Laboratory of Sichuan Province, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Department of Rheumatology and Immunology, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Ting Li
- Department of Rheumatology, Wenjiang District People’s Hospital, Chengdu, China
| | - Qin Qin
- School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiaobo Huang
- Department of Critical Care Medicine, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yi Wang
- Department of Critical Care Medicine, Sichuan Academy of Medical Science and Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
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Pan B, Li Y, Xu Z, Miao Y, Yin H, Kong Y, Zhang X, Liang J, Xia Y, Wang L, Li J, Wu J, Xu W. Identifying a novel ferroptosis-related prognostic score for predicting prognosis in chronic lymphocytic leukemia. Front Immunol 2022; 13:962000. [PMID: 36275721 PMCID: PMC9582233 DOI: 10.3389/fimmu.2022.962000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 08/22/2022] [Indexed: 11/13/2022] Open
Abstract
Background Chronic lymphocytic leukemia (CLL) is the most common leukemia in the western world. Although the treatment landscape for CLL is rapidly evolving, there are still some patients who develop drug resistance or disease refractory. Ferroptosis is a type of lipid peroxidation–induced cell death and has been suggested to have prognostic value in several cancers. Our research aims to build a prognostic model to improve risk stratification in CLL patients and facilitate more accurate assessment for clinical management. Methods The differentially expressed ferroptosis-related genes (FRGs) in CLL were filtered through univariate Cox regression analysis based on public databases. Least absolute shrinkage and selection operator (LASSO) Cox algorithms were performed to construct a prognostic risk model. CIBERSORT and single-sample gene set enrichment analysis (ssGSEA) were performed to estimate the immune infiltration score and immune-related pathways. A total of 36 CLL patients in our center were enrolled in this study as a validation cohort. Moreover, a nomogram model was established to predict the prognosis. Results A total of 15 differentially expressed FRGs with prognostic significance were screened out. After minimizing the potential risk of overfitting, we constructed a novel ferroptosis-related prognostic score (FPS) model with nine FRGs (AKR1C3, BECN1, CAV1, CDKN2A, CXCL2, JDP2, SIRT1, SLC1A5, and SP1) and stratified patients into low- and high-risk groups. Kaplan–Meier analysis showed that patients with high FPS had worse overall survival (OS) (P<0.0001) and treatment-free survival (TFS) (P<0.0001). ROC curves evaluated the prognostic prediction ability of the FPS model. Additionally, the immune cell types and immune-related pathways were correlated with the risk scores in CLL patients. In the validation cohort, the results confirmed that the high-risk group was related to worse OS (P<0.0001), progress-free survival (PFS) (P=0.0140), and TFS (P=0.0072). In the multivariate analysis, only FPS (P=0.011) and CLL-IPI (P=0.010) were independent risk indicators for OS. Furthermore, we established a nomogram including FPS and CLL-IPI that could strongly and reliably predict individual prognosis. Conclusion A novel FPS model can be used in CLL for prognostic prediction. The model index may also facilitate the development of new clinical ferroptosis-targeted therapies in patients with CLL.
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Huang C, Zhan L. Network Pharmacology Identifies Therapeutic Targets and the Mechanisms of Glutathione Action in Ferroptosis Occurring in Oral Cancer. Front Pharmacol 2022; 13:851540. [PMID: 35359830 PMCID: PMC8963897 DOI: 10.3389/fphar.2022.851540] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 02/23/2022] [Indexed: 01/06/2023] Open
Abstract
Oral cancer (OC) is one of the most pernicious cancers with increasing incidence and mortality worldwide. Surgery is the primary approach for the treatment of early-stage OC, which reduces the quality of life of the patients. Therefore, there is an urgent need to discover novel treatments for OC. Targeting ferroptosis to induce cell death through the modulation of lipid oxidation has been used as a new approach to treat many cancers. Glutathione (GSH) is a coenzyme factor of GSH peroxidase 4, and it carries potential applicability in treating OC. By using network pharmacology and molecular docking followed by systematic bioinformatic analysis, we aimed to study GSH-targeting ferroptosis to treat OC. We identified 14 core molecular targets, namely, EGFR, PTGS2, HIF1A, VEGFA, TFRC, SLC2A1, CAV1, CDKN2A, SLC3A2, IFNG, NOX4, DDIT4, CA9, and DUSP1, involved in ferroptosis that were targeted by GSH for OC treatment. Functional characterization of these molecular targets showed their importance in the control of cell apoptosis, cell proliferation, and immune responses through various kinase activities such as the mitogen-activated protein kinase activity (e.g., ERK1 and ERK2 cascades) and modulation of TOR signaling (e.g., the HIF-1 signaling pathway). Molecular docking further revealed the direct binding of GSH with EGFR, PTGS2, and HIF1A proteins. These findings provide a novel insight into the targets of GSH in ferroptosis as well as possible molecular mechanisms involved, suggesting the possible use of GSH as a combined therapy for treating OC.
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Affiliation(s)
- Chen Huang
- The Center for Data Science in Health and Medicine, Business School, Qingdao University, Qingdao, China
| | - Lei Zhan
- Department of Ophthalmology, The Second People’s Hospital of Guilin, Guilin, China
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