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Zhang S, Yu H, Sun S, Fan X, Bi W, Li S, Wang W, Fang Z, Chen X. Copper Homeostasis Based on Cuproptosis-Related Signature Optimizes Molecular Subtyping and Treatment of Glioma. Mol Neurobiol 2024; 61:4962-4975. [PMID: 38151613 DOI: 10.1007/s12035-023-03893-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Accepted: 12/19/2023] [Indexed: 12/29/2023]
Abstract
Copper is essential in living organisms and crucial to various physiological processes. Normal physiological conditions are in a state of copper homeostasis to ensure normal biochemical and metabolic processes. Dysregulation of copper homeostasis has been associated with multiple diseases, especially cancer. Cuproptosis is a copper-dependent cell death mediated by excess copper or homeostasis dysregulation. Elesclomol is a common inducer of cuproptosis, carrying copper into the cell and producing excess copper. Cuproptosis modulates tumor proliferation-related signaling pathways and is closely associated with remodeling the tumor microenvironment. In gliomas, the role of cuproptosis and copper homeostasis needs to be better characterized. This study systematically analyzed cuproptosis-related genes (CRGs) and constructed a cuproptosis signature for gliomas. The signature closely links the subtypes and clinical features of glioma patients. The results showed a greater tendency toward dysregulation of copper homeostasis as the malignant grade of glioma patients increased. In addition, CRGs-signature effectively predicted the sensitivity of glioma cells to elesclomol and verified that elesclomol inhibited glioma mainly through inducing cellular cuproptosis. In summary, we found different copper homeostatic features in gliomas and verified the anticancer mechanism of elesclomol, which provides a theoretical basis for developing novel therapeutic strategies for gliomas.
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Affiliation(s)
- Siyu Zhang
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China
- Science Island Branch, Graduate School of University of Science and Technology of China, No. 96, Jin Zhai Road, Hefei, 230026, Anhui, China
| | - Huihan Yu
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China
- Department of Pathophysiology, School of Basic Medicine, Anhui Medical University, No. 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Suling Sun
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China
- Science Island Branch, Graduate School of University of Science and Technology of China, No. 96, Jin Zhai Road, Hefei, 230026, Anhui, China
| | - Xiaoqing Fan
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China
- Science Island Branch, Graduate School of University of Science and Technology of China, No. 96, Jin Zhai Road, Hefei, 230026, Anhui, China
- Department of Anesthesiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China (USTC), No. 17, Lu Jiang Road, Hefei, 230001, Anhui, China
| | - Wenxu Bi
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China
- Science Island Branch, Graduate School of University of Science and Technology of China, No. 96, Jin Zhai Road, Hefei, 230026, Anhui, China
| | - Shuyang Li
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China
- Department of Pathophysiology, School of Basic Medicine, Anhui Medical University, No. 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Wei Wang
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China
- Department of Pathophysiology, School of Basic Medicine, Anhui Medical University, No. 81, Meishan Road, Hefei, 230032, Anhui, China
| | - Zhiyou Fang
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China.
- Science Island Branch, Graduate School of University of Science and Technology of China, No. 96, Jin Zhai Road, Hefei, 230026, Anhui, China.
| | - Xueran Chen
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), No. 350, Shushan Hu Road, Hefei, 230031, Anhui, China.
- Science Island Branch, Graduate School of University of Science and Technology of China, No. 96, Jin Zhai Road, Hefei, 230026, Anhui, China.
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Jin X, Qin Z, Zhao H. Histone acetylation risk model predicts prognosis and guides therapy selection in glioblastoma: implications for chemotherapy and anti-CTLA-4 immunotherapy. BMC Immunol 2024; 25:51. [PMID: 39068393 PMCID: PMC11282667 DOI: 10.1186/s12865-024-00639-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Accepted: 07/01/2024] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Glioblastoma is characterized by high aggressiveness, frequent recurrence, and poor prognosis. Histone acetylation-associated genes have been implicated in its occurrence and development, yet their predictive ability in glioblastoma prognosis remains unclear. RESULTS This study constructs a histone acetylation risk model using Cox and LASSO regression analyses to evaluate glioblastoma prognosis. We assessed the model's prognostic ability with univariate and multivariate Cox regression analyses. Additionally, immune infiltration was evaluated using ESTIMATE and TIMER algorithms, and the SubMAP algorithm was utilized to predict responses to CTLA4 inhibitor. Multiple drug databases were applied to assess drug sensitivity in high- and low-risk groups. Our results indicate that the histone acetylation risk model is independent and reliable in predicting prognosis. CONCLUSIONS Low-risk patients showed higher immune activity and longer overall survival, suggesting anti-CTLA4 immunotherapy suitability, while high-risk patients might benefit more from chemotherapy. This model could guide personalized therapy selection for glioblastoma patients.
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Affiliation(s)
- Xingyi Jin
- Neurosurgery Department, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Zhigang Qin
- Neurosurgery Department, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Hang Zhao
- Neurosurgery Department, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China.
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Jin X, Chen Z, Zhao H. Deciphering glycosylation-driven prognostic insights and therapeutic prospects in glioblastoma through a comprehensive regulatory model. Front Oncol 2024; 14:1288820. [PMID: 38841168 PMCID: PMC11150821 DOI: 10.3389/fonc.2024.1288820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 04/25/2024] [Indexed: 06/07/2024] Open
Abstract
The oncogenesis and development of glioblastoma multiforme have been linked to glycosylation modifications, which are common post-translational protein modifications. Abnormal glycosyltransferase development leads to irregular glycosylation patterns, which hold clinical significance for GB prognosis. By utilizing both single-cell and bulk data, we developed a scoring system to assess glycosylation levels in GB. Moreover, a glycosylation-based signature was created to predict GB outcomes and therapy responsiveness. The study led to the development of an glyco-model incorporating nine key genes. This risk assessment tool effectively stratified GB patients into two distinct groups. Extensive validation through ROC analysis, RMST, and Kaplan-Meier (KM) survival analysis emphasized the model's robust predictive capabilities. Additionally, a nomogram was constructed to predict survival rates at specific time intervals. The research revealed substantial disparities in immune cell infiltration between low-risk and high-risk groups, characterized by differences in immune cell abundance and elevated immune scores. Notably, the glyco-model predicted diverse responses to immune checkpoint inhibitors and drug therapies, with high-risk groups exhibiting a preference for immune checkpoint inhibitors and demonstrated superior responses to drug treatments. Furthermore, the study identified two potential drug targets and utilized Connectivity Map analysis to pinpoint promising therapeutic agents. Clofarabine and YM155 were identified as potent candidates for the treatment of high-risk GB. Our well-crafted glyco-model effectively discriminates patients by calculating the risk score, accurately predicting GB outcomes, and significantly enhancing prognostic assessment while identifying novel immunotherapeutic and chemotherapeutic strategies for GB treatment.
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Affiliation(s)
| | | | - Hang Zhao
- Neurosurgery Department, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
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Xu P, Xing H, Ma Y, Ding X, Li T, Zhang Y, Liu L, Ma J, Niu Q. Fluoride Induces Neurocytotoxicity by Disrupting Lysosomal Iron Metabolism and Membrane Permeability. Biol Trace Elem Res 2024:10.1007/s12011-024-04226-0. [PMID: 38760610 DOI: 10.1007/s12011-024-04226-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 05/06/2024] [Indexed: 05/19/2024]
Abstract
The detrimental effects of fluoride on neurotoxicity have been widely recorded, yet the detailed mechanisms underlying these effects remain unclear. This study explores lysosomal iron metabolism in fluoride-related neurotoxicity, with a focus on the Steap3/TRPML1 axis. Utilizing sodium fluoride (NaF)-treated human neuroblastoma (SH-SY5Y) and mouse hippocampal neuron (HT22) cell lines, our research demonstrates that NaF enhances the accumulation of ferrous ions (Fe2+) in these cells, disrupting lysosomal iron metabolism through the Steap3/TRPML1 axis. Notably, NaF exposure upregulated ACSL4 and downregulated GPX4, accompanied by reduced glutathione (GSH) levels and superoxide dismutase (SOD) activity and increased malondialdehyde (MDA) levels. These changes indicate increased vulnerability to ferroptosis within neuronal cells. The iron chelator deferoxamine (DFO) mitigates this disruption. DFO binds to lysosomal Fe2+ and inhibits the Steap3/TRPML1 axis, restoring normal lysosomal iron metabolism, preventing lysosomal membrane permeabilization (LMP), and reducing neuronal cell ferroptosis. Our findings suggest that interference in lysosomal iron metabolism may mitigate fluoride-induced neurotoxicity, underscoring the critical role of the Steap3/TRPML1 axis in this pathological process.
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Affiliation(s)
- Panpan Xu
- Department of Preventive Medicine, School of Medicine, Shihezi University, North 2nd Road, Shihezi, Xinjiang, 832000, People's Republic of China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, Shihezi, Xinjiang, People's Republic of China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Shihezi, Xinjiang, People's Republic of China
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence DiseasesFirst Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Hengrui Xing
- Department of Preventive Medicine, School of Medicine, Shihezi University, North 2nd Road, Shihezi, Xinjiang, 832000, People's Republic of China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, Shihezi, Xinjiang, People's Republic of China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Shihezi, Xinjiang, People's Republic of China
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence DiseasesFirst Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Yue Ma
- Department of Preventive Medicine, School of Medicine, Shihezi University, North 2nd Road, Shihezi, Xinjiang, 832000, People's Republic of China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, Shihezi, Xinjiang, People's Republic of China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Shihezi, Xinjiang, People's Republic of China
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence DiseasesFirst Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Xueman Ding
- Department of Preventive Medicine, School of Medicine, Shihezi University, North 2nd Road, Shihezi, Xinjiang, 832000, People's Republic of China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, Shihezi, Xinjiang, People's Republic of China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Shihezi, Xinjiang, People's Republic of China
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence DiseasesFirst Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Tingting Li
- Department of Preventive Medicine, School of Medicine, Shihezi University, North 2nd Road, Shihezi, Xinjiang, 832000, People's Republic of China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, Shihezi, Xinjiang, People's Republic of China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Shihezi, Xinjiang, People's Republic of China
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence DiseasesFirst Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Yue Zhang
- Department of Preventive Medicine, School of Medicine, Shihezi University, North 2nd Road, Shihezi, Xinjiang, 832000, People's Republic of China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, Shihezi, Xinjiang, People's Republic of China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Shihezi, Xinjiang, People's Republic of China
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence DiseasesFirst Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Li Liu
- Department of Preventive Medicine, School of Medicine, Shihezi University, North 2nd Road, Shihezi, Xinjiang, 832000, People's Republic of China
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, Shihezi, Xinjiang, People's Republic of China
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Shihezi, Xinjiang, People's Republic of China
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence DiseasesFirst Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Jiaolong Ma
- Department of Preventive Medicine, School of Medicine, Shihezi University, North 2nd Road, Shihezi, Xinjiang, 832000, People's Republic of China.
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, Shihezi, Xinjiang, People's Republic of China.
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Shihezi, Xinjiang, People's Republic of China.
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence DiseasesFirst Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China.
| | - Qiang Niu
- Department of Preventive Medicine, School of Medicine, Shihezi University, North 2nd Road, Shihezi, Xinjiang, 832000, People's Republic of China.
- Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security, the Xinjiang Production and Construction Corps, Shihezi, Xinjiang, People's Republic of China.
- Key Laboratory of Xinjiang Endemic and Ethnic Diseases (Ministry of Education), School of Medicine, Shihezi University, Shihezi, Xinjiang, People's Republic of China.
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence DiseasesFirst Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China.
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Annevelink CE, Westra J, Sala-Vila A, Harris WS, Tintle NL, Shearer GC. A Genome-Wide Interaction Study of Erythrocyte ω-3 Polyunsaturated Fatty Acid Species and Memory in the Framingham Heart Study Offspring Cohort. J Nutr 2024; 154:1640-1651. [PMID: 38141771 DOI: 10.1016/j.tjnut.2023.12.035] [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: 05/23/2023] [Revised: 12/14/2023] [Accepted: 12/19/2023] [Indexed: 12/25/2023] Open
Abstract
BACKGROUND Cognitive decline, and more specifically Alzheimer's disease, continues to increase in prevalence globally, with few, if any, adequate preventative approaches. Several tests of cognition are utilized in the diagnosis of cognitive decline that assess executive function, short- and long-term memory, cognitive flexibility, and speech and motor control. Recent studies have separately investigated the genetic component of both cognitive health, using these measures, and circulating fatty acids. OBJECTIVES We aimed to examine the potential moderating effect of main species of ω-3 polyunsaturated fatty acids (PUFAs) on an individual's genetically conferred risk of cognitive decline. METHODS The Offspring cohort from the Framingham Heart Study was cross-sectionally analyzed in this genome-wide interaction study (GWIS). Our sample included all individuals with red blood cell ω-3 PUFA, genetic, cognitive testing (via Trail Making Tests [TMTs]), and covariate data (N = 1620). We used linear mixed effects models to predict each of the 3 cognitive measures (TMT A, TMT B, and TMT D) by each ω-3 PUFA, single nucleotide polymorphism (SNP) (0, 1, or 2 minor alleles), ω-3 PUFA by SNP interaction term, and adjusting for sex, age, education, APOE ε4 genotype status, and kinship (relatedness). RESULTS Our analysis identified 31 unique SNPs from 24 genes reaching an exploratory significance threshold of 1×10-5. Fourteen of the 24 genes have been previously associated with the brain/cognition, and 5 genes have been previously associated with circulating lipids. Importantly, 8 of the genes we identified, DAB1, SORCS2, SERINC5, OSBPL3, CPA6, DLG2, MUC19, and RGMA, have been associated with both cognition and circulating lipids. We identified 22 unique SNPs for which individuals with the minor alleles benefit substantially from increased ω-3 fatty acid concentrations and 9 unique SNPs for which the common homozygote benefits. CONCLUSIONS In this GWIS of ω-3 PUFA species on cognitive outcomes, we identified 8 unique genes with plausible biology suggesting individuals with specific polymorphisms may have greater potential to benefit from increased ω-3 PUFA intake. Additional replication in prospective settings with more diverse samples is needed.
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Affiliation(s)
- Carmen E Annevelink
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States
| | - Jason Westra
- Fatty Acid Research Institute (FARI), Sioux Falls, SD, United States
| | - Aleix Sala-Vila
- Fatty Acid Research Institute (FARI), Sioux Falls, SD, United States; Cardiovascular Risk and Nutrition, Hospital del Mar Research Institute, Barcelona, Spain; Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain
| | - William S Harris
- Fatty Acid Research Institute (FARI), Sioux Falls, SD, United States; Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, United States
| | - Nathan L Tintle
- Fatty Acid Research Institute (FARI), Sioux Falls, SD, United States; Department of Population Health Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL, United States
| | - Gregory C Shearer
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA, United States.
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Qin Z, Yang B, Jin X, Zhao H, Liu N. Cuproptosis in glioblastoma: unveiling a novel prognostic model and therapeutic potential. Front Oncol 2024; 14:1359778. [PMID: 38606090 PMCID: PMC11007140 DOI: 10.3389/fonc.2024.1359778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 03/20/2024] [Indexed: 04/13/2024] Open
Abstract
Glioblastoma, a notably aggressive brain tumor, is characterized by a brief survival period and resistance to conventional therapeutic approaches. With the recent identification of "Cuproptosis," a copper-dependent apoptosis mechanism, this study aimed to explore its role in glioblastoma prognosis and potential therapeutic implications. A comprehensive methodology was employed, starting with the identification and analysis of 65 cuproptosis-related genes. These genes were subjected to differential expression analyses between glioblastoma tissues and normal counterparts. A novel metric, the "CP-score," was devised to quantify the cuproptosis response in glioblastoma patients. Building on this, a prognostic model, the CP-model, was developed using Cox regression techniques, designed to operate on both bulk and single-cell data. The differential expression analysis revealed 31 genes with distinct expression patterns in glioblastoma. The CP-score was markedly elevated in glioblastoma patients, suggesting an intensified cuproptosis response. The CP-model adeptly stratified patients into distinct risk categories, unveiling intricate associations between glioblastoma prognosis, immune response pathways, and the tumor's immunological environment. Further analyses indicated that high-risk patients, as per the CP-model, exhibited heightened expression of certain immune checkpoints, suggesting potential therapeutic targets. Additionally, the model hinted at the possibility of personalized therapeutic strategies, with certain drugs showing increased efficacy in high-risk patients. The CP-model offers a promising tool for glioblastoma prognosis and therapeutic strategy development, emphasizing the potential of Cuproptosis in cancer treatment.
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Affiliation(s)
| | | | | | | | - Naijie Liu
- Neurosurgery Department, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
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Onciul R, Brehar FM, Toader C, Covache-Busuioc RA, Glavan LA, Bratu BG, Costin HP, Dumitrascu DI, Serban M, Ciurea AV. Deciphering Glioblastoma: Fundamental and Novel Insights into the Biology and Therapeutic Strategies of Gliomas. Curr Issues Mol Biol 2024; 46:2402-2443. [PMID: 38534769 DOI: 10.3390/cimb46030153] [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: 01/24/2024] [Revised: 03/06/2024] [Accepted: 03/09/2024] [Indexed: 03/28/2024] Open
Abstract
Gliomas constitute a diverse and complex array of tumors within the central nervous system (CNS), characterized by a wide range of prognostic outcomes and responses to therapeutic interventions. This literature review endeavors to conduct a thorough investigation of gliomas, with a particular emphasis on glioblastoma (GBM), beginning with their classification and epidemiological characteristics, evaluating their relative importance within the CNS tumor spectrum. We examine the immunological context of gliomas, unveiling the intricate immune environment and its ramifications for disease progression and therapeutic strategies. Moreover, we accentuate critical developments in understanding tumor behavior, focusing on recent research breakthroughs in treatment responses and the elucidation of cellular signaling pathways. Analyzing the most novel transcriptomic studies, we investigate the variations in gene expression patterns in glioma cells, assessing the prognostic and therapeutic implications of these genetic alterations. Furthermore, the role of epigenetic modifications in the pathogenesis of gliomas is underscored, suggesting that such changes are fundamental to tumor evolution and possible therapeutic advancements. In the end, this comparative oncological analysis situates GBM within the wider context of neoplasms, delineating both distinct and shared characteristics with other types of tumors.
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Affiliation(s)
- Razvan Onciul
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Neurosurgery Department, Emergency University Hospital, 050098 Bucharest, Romania
| | - Felix-Mircea Brehar
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Department of Neurosurgery, Clinical Emergency Hospital "Bagdasar-Arseni", 041915 Bucharest, Romania
| | - Corneliu Toader
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Department of Vascular Neurosurgery, National Institute of Neurology and Neurovascular Diseases, 077160 Bucharest, Romania
| | | | - Luca-Andrei Glavan
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Bogdan-Gabriel Bratu
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Horia Petre Costin
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - David-Ioan Dumitrascu
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Matei Serban
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
| | - Alexandru Vlad Ciurea
- Department of Neurosurgery, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania
- Neurosurgery Department, Sanador Clinical Hospital, 010991 Bucharest, Romania
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Dai Y, Zhang H, Feng S, Guo C, Tian W, Sun Y, Zhang Y. SMG9 is a novel prognostic-related biomarker in glioma correlating with ferroptosis and immune infiltrates. Heliyon 2024; 10:e25716. [PMID: 38384572 PMCID: PMC10878878 DOI: 10.1016/j.heliyon.2024.e25716] [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: 08/19/2023] [Revised: 01/19/2024] [Accepted: 02/01/2024] [Indexed: 02/23/2024] Open
Abstract
Background Glioma is the most frequent type of malignancy that may damage the brain with high morbidity and mortality rates and patients' prognoses are still dismal. Ferroptosis, a newly uncovered mode of programmed cell death, may be triggered to destroy glioma cells. Nevertheless, the significance of ferroptosis-related genes (FRGs) in predicting prognosis in glioma individuals is still a mystery. Methods The CGGA (The Chinese Glioma Atlas), GEO (Gene Expression Omnibus), and TCGA (The Cancer Genome Atlas) databases were all searched to obtain the glioma expression dataset. First, TCGA was searched to identify differentially expressed genes (DEGs). This was followed by a machine learning algorithm-based screening of the glioma's most relevant genes. Additionally, these genes were subjected to Gene Ontology (GO) and KEGG (Kyoto Encyclopedia of Genes and Genomes) functional enrichment analyses. The chosen biological markers were then submitted to single-cell, immune function, and gene set enrichment analysis (GSEA). In addition, we performed functional enrichment and Mfuzz expression profile clustering on the most promising biological markers to delve deeper into their regulatory mechanisms and assess their clinical diagnostic capacities. Results We identified 4444 DEGs via differential analysis and 564 FRGs from the FerrDb database. The two were subjected to intersection analysis, which led to the discovery of 143 overlapping genes. After that, glioma biological markers were identified in fourteen genes by the use of machine learning methods. In terms of its use for clinical diagnosis, SMG9 stands out as the most significant among these biomarkers. Conclusion In light of these findings, the identification of SMG9 as a new biological marker has the potential to provide information on the mechanism of action and the effect of the immune milieu in glioma. The promise of SMG9 in glioma prognosis prediction warrants more study.
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Affiliation(s)
- Yong Dai
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute & Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Huan Zhang
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute & Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Sujuan Feng
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute & Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Chao Guo
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute & Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Wenjie Tian
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
- State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute & Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Yimei Sun
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
| | - Yi Zhang
- Department of Neurosurgery, Affiliated Hospital 2 of Nantong University and First People's Hospital of Nantong City, No. 666 Shengli Road, Nantong 226001, China
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Fu D, Zhang X, Zhou Y, Hu S. A novel prognostic signature and therapy guidance for hepatocellular carcinoma based on STEAP family. BMC Med Genomics 2024; 17:16. [PMID: 38191397 PMCID: PMC10775544 DOI: 10.1186/s12920-023-01789-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 12/26/2023] [Indexed: 01/10/2024] Open
Abstract
BACKGROUND The six-transmembrane epithelial antigen of prostate (STEAP) family members are known to be involved in various tumor-related biological processes and showed its huge potential role in tumor immunotherapy. METHODS Biological differences were investigated through Gene set enrichment analysis (GSEA) and tumor microenvironment analysis by CIBERSORT. Tumor mutation burden (TMB), immunotherapy response and chemotherapeutic drugs sensitivity were estimated in R. RESULTS We established a prognostic signature with the formula: risk score = STEAP1 × 0.3994 + STEAP4 × (- 0.7596), which had a favorable concordance with the prediction. The high-risk group were enriched in cell cycle and RNA and protein synthesis related pathways, while the low-risk group were enriched in complement and metabolic related pathways. And the risk score was significantly correlated with immune cell infiltration. Most notably, the patients in the low-risk group were characterized with increased TMB and decreased tumor immune dysfunction and exclusion (TIDE) score, indicating that these patients showed better immune checkpoint blockade response. Meanwhile, we found the patients with high-risk were more sensitive to some drugs related to cell cycle and apoptosis. CONCLUSIONS The novel signature based on STEAPs may be effective indicators for predicting prognosis, and provides corresponding clinical treatment recommendations for HCC patients based on this classification.
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Affiliation(s)
- Dongxue Fu
- Department of Anesthesiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xian Zhang
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, No.1 South Baixiang Street, Ouhai District, Wenzhou, Zhejiang, 325000, China
| | - Yi Zhou
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, No.1 South Baixiang Street, Ouhai District, Wenzhou, Zhejiang, 325000, China
| | - Shanshan Hu
- Key Laboratory of Diagnosis and Treatment of Severe Hepato-Pancreatic Diseases of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, No.1 South Baixiang Street, Ouhai District, Wenzhou, Zhejiang, 325000, China.
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10
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Liu J, Zhou W, Yang L, Li Y, Qiu J, Fu X, Ren P, Guo F, Zhou Y, Liu J, Chen P, DiSanto ME, Zhang X. STEAP4 modulates cell proliferation and oxidative stress in benign prostatic hyperplasia. Cell Signal 2024; 113:110933. [PMID: 37866665 DOI: 10.1016/j.cellsig.2023.110933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2023] [Revised: 09/08/2023] [Accepted: 10/18/2023] [Indexed: 10/24/2023]
Abstract
Benign prostatic hyperplasia (BPH) is a quite common chronic disease plagued elderly men and its etiology remains unclear. It was reported that the six-transmembrane epithelial antigen of prostate 4 (STEAP4) could modulate cell proliferation/apoptosis ratio and oxidative stress in cancers. Our current study aimed to explore the expression, biological function, and underlying mechanism of STEAP4 in BPH progress. Human prostate tissues and cell lines were utilized. qRT-PCR and immunofluorescence staining were employed. STEAP4 knockdown (STEAP4-KD) or STEAP4 overexpression (STEAP4-OE) cell models were established. Cell proliferation, cell cycle, apoptosis, and reactive oxygen species (ROS) were determined by cell counting kit-8 (CCK-8) assay and flow cytometry. Apoptosis-related proteins and antioxidant enzymes were identified by Western Blot. In addition, the epithelial-mesenchymal transition (EMT) process and fibrosis biomarker (collagen I and α-SMA) were analyzed. It was indicated that STEAP4 was mainly located in the prostate epithelium and upregulated in BPH tissues. STEAP4 deficiency induced apoptosis and inhibited cell survival, but had no effect on the cell cycle, fibrosis, and EMT process. In addition, ROS changes were observed in the STEAP4-KD model. Consistently, overproduction of STEAP4 suppressed apoptosis and promoted cell proliferation, as well as facilitated ROS production. We further examined AKT / mTOR, p38MAPK / p-p38MAPK, and WNT/ β-Catenin signaling pathway and demonstrated that STEAP4 regulated the proliferation and apoptosis of prostate cells through AKT / mTOR signaling, rather than p38MAPK / p-p38MAPK and WNT/ β-Catenin pathways. Furthermore, activating AKT / mTOR signaling with SC79 significantly reversed apoptosis triggered by STEAP4 deficiency, whereas suppressing AKT / mTOR signaling with MK2206 reduced the increase of cell viability triggered by STEAP4 overproduction. Our original data demonstrated that STEAP4 is crucial in the onset and progression of prostate hyperplasia and may become a new target for the treatment of BPH.
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Affiliation(s)
- Jiang Liu
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Wei Zhou
- Zhongnan Hospital of Wuhan University, Institute of Hepatobiliary Diseases of Wuhan University, Transplant Center of Wuhan University, Hubei Key Laboratory of Medical Technology on Transplantation, Wuhan, China
| | - Liang Yang
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yan Li
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jizhang Qiu
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Xun Fu
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Pengfei Ren
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Feng Guo
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yongying Zhou
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Jianmin Liu
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Ping Chen
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Michael E DiSanto
- Department of Surgery and Biomedical Sciences, Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Xinhua Zhang
- Department of Urology, Zhongnan Hospital of Wuhan University, Wuhan, China.
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11
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Zhang Y, Wu X, Zhu J, Lu R, Ouyang Y. Knockdown of SLC39A14 inhibits glioma progression by promoting erastin-induced ferroptosis SLC39A14 knockdown inhibits glioma progression. BMC Cancer 2023; 23:1120. [PMID: 37978473 PMCID: PMC10655456 DOI: 10.1186/s12885-023-11637-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/13/2023] [Indexed: 11/19/2023] Open
Abstract
BACKGROUND Ferroptosis is a newly classified form of regulated cell death with implications in various tumor progression pathways. However, the roles and mechanisms of ferroptosis-related genes in glioma remain unclear. METHODS Bioinformatics analysis was employed to identify differentially expressed ferroptosis-related genes in glioma. The expression levels of hub genes were assessed using real-time reverse transcriptase-polymerase chain reaction (RT-qPCR). To explore the role of SLC39A14 in glioma, a series of in vitro assays were conducted, including cell counting kit-8 (CCK-8), 5-ethynyl-2'-deoxyuridine (EdU), flow cytometry, wound healing, and Transwell assays. Enzyme-linked immunosorbent assay (ELISA) was utilized to measure the levels of indicators associated with ferroptosis. Hematoxylin-eosin (HE) and immunohistochemistry (IHC) staining were performed to illustrate the clinicopathological features of the mouse transplantation tumor model. Additionally, Western blot analysis was used to assess the expression of the cGMP-PKG pathway-related proteins. RESULTS Seven ferroptosis-related hub genes, namely SLC39A14, WWTR1, STEAP3, NOTCH2, IREB2, HIF1A, and FANCD2, were identified, all of which were highly expressed in glioma. Knockdown of SLC39A14 inhibited glioma cell proliferation, migration, and invasion, while promoting apoptosis. Moreover, SLC39A14 knockdown also facilitated erastin-induced ferroptosis, leading to the suppression of mouse transplantation tumor growth. Mechanistically, SLC39A14 knockdown inhibited the cGMP-PKG signaling pathway activation. CONCLUSION Silencing SLC39A14 inhibits ferroptosis and tumor progression, potentially involving the regulation of the cGMP-PKG signaling pathway.
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Affiliation(s)
- Yunwen Zhang
- Department of Neurosurgery, First Clinical Medical College of Gannan Medical University, No.1 Xueyuan Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China
| | - Xinghai Wu
- Department of Neurosurgery, Zhangye People's Hospital Affiliated to Hexi University, No. 67 Xihuan Road, Ganzhou District, Zhangye City, 734000, Gansu Province, China
| | - Jiyong Zhu
- Department of Neurosurgery, Guilin Municipal Hospital of Traditional Chinese Medicine, Guangxi Zhuang Autonomous Region, No. 2 Lingui Road, Xiangshan District, Guilin City, 541002, China
| | - Ruibin Lu
- Department of Neurosurgery, First Clinical Medical College of Gannan Medical University, No.1 Xueyuan Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China
| | - Yian Ouyang
- Department of Neurosurgery, First Affiliated Hospital of Gannan Medical University, No.23 Qingnian Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China.
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12
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Wei H, Zhang J, Wei D. Prognostic value and potential mechanism of the six-transmembrane epithelial antigen of the prostate family in clear cell renal cell carcinoma. Asian J Surg 2023; 46:5114-5115. [PMID: 37419818 DOI: 10.1016/j.asjsur.2023.06.101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 06/16/2023] [Indexed: 07/09/2023] Open
Affiliation(s)
- Haotian Wei
- Department of Urology, Affiliated Hospital of Chifeng University, Chifeng, 024050, China; Department of Urology, Secord Affiliated Hospital of Tianjin Medical University, Tianjin, 300211, China
| | - Jian Zhang
- Department of Urology, Affiliated Hospital of Chifeng University, Chifeng, 024050, China; Department of Orthopedics, First Affiliated Hospital of Dalian Medical University, Dalian, 116011, China
| | - Dadong Wei
- Department of Urology, Affiliated Hospital of Chifeng University, Chifeng, 024050, China.
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13
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Zeng HL, Li H, Yang Q, Li CX. Transcriptomic Characterization of Copper-Binding Proteins for Predicting Prognosis in Glioma. Brain Sci 2023; 13:1460. [PMID: 37891828 PMCID: PMC10605646 DOI: 10.3390/brainsci13101460] [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: 08/12/2023] [Revised: 09/25/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Copper and copper-binding proteins are key components of tumor progression as they play important roles in tumor invasion and migration, but their associations in gliomas remain unclear. METHODS Transcriptomic datasets of glioblastoma, low-grade glioma, and normal brain cortex were derived from the TCGA and GTEX databases. Differentially expressed genes (DEGs) of copper-binding proteins were screened and used to construct a prognostic model based on COX and LASSO regression, which was further validated by the CGGA datasets. The expressions of risk-model genes were selectively confirmed via anatomic feature-based expression analysis and immunohistochemistry. The risk score was stratified by age, gender, WHO grade, IDH1 mutation, MGMT promoter methylation, and 1p/19q codeletion status, and a nomogram was constructed and validated. RESULTS A total of 21 DEGs of copper-binding proteins were identified and a six-gene risk-score model was constructed, consisting of ANG, F5, IL1A, LOXL1, LOXL2, and STEAP3, which accurately predicted 1-, 3-, and 5-year overall survival rates, with the AUC values of 0.87, 0.88, and 0.82, respectively. The high-risk group had a significantly shorter OS (p < 0.0001) and was associated with old age, wild-type IDH1, a high WHO grade, an unmethylated MGMT promoter, and 1p/19q non-codeletion and had higher levels of immune cell infiltration, cancer-immunity suppressor, and immune checkpoint gene expression as well as a higher TMB. CONCLUSIONS The model based on the genes of copper-binding proteins could contribute to prognosis prediction and provide potential targets against gliomas.
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Affiliation(s)
- Hao-Long Zeng
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China;
| | - Huijun Li
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China;
| | - Qing Yang
- Institute of Food Science and Engineering, Wuhan Polytechnic University, Wuhan 430023, China;
| | - Chao-Xi Li
- Department of Neurosurgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China;
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Chen X, Hu S, Han Y, Cai Y, Lu T, Hu X, Chu Y, Zhou X, Wang X. Ferroptosis-related STEAP3 acts as predictor and regulator in diffuse large B cell lymphoma through immune infiltration. Clin Exp Med 2023; 23:2601-2617. [PMID: 36682001 DOI: 10.1007/s10238-023-00996-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 01/10/2023] [Indexed: 01/23/2023]
Abstract
Diffuse large B cell lymphoma (DLBCL) is a usual-seen hematological malignant tumor possessing molecular and genetic heterogeneity. Ferroptosis induction has been increasingly acknowledged to be an advantageous therapeutic method in tumor treatment by triggering cell death of tumor cells. However, studies on the function of ferroptosis in DLBCL remain scarce, especially the interaction with the tumor immune microenvironment (TIME). The clinical and biological functions of ferroptosis-related genes in DLBCL were still warranted to be explored. A ferroptosis-related risk model was constructed, followed by functional enrichment analyses and evaluation of immune profile. Quantitative real-time PCR, western blotting, and immunohistochemistry were conducted to examine the RNA and protein levels. Dysregulated expression of the major ferroptosis-related genes was found in DLBCL. A prognostic risk model based on 10 ferroptosis-related genes was constructed. The risk score served as an independent prognostic indicator for DLBCL patients in univariate and multivariate Cox regression analysis. Patients with low-risk scores presented a more favorable prognosis. Functional enrichment analysis revealed that immune-related pathways were significantly enriched, and the high-risk group exhibited less immunocyte infiltration, lower immunoscore, and downregulated PD-L1 expression relative to the low-risk group. Two molecular subtypes were determined through consensus clustering of the expression of ferroptosis-related genes. Cluster 1 was relevant to favorable prognosis, higher immunoscore, and elevated PD-L1 expression. More importantly, STEAP3 was screened as a reliable biomarker for DLBCL, and its enhanced expression levels of mRNA and protein were verified in public databases and clinical specimens. Our study demonstrated the crucial role of ferroptosis-related genes including STEAP3 in the TIME of DLBCL and identified promising novel molecular targets for DLBCL treatment.
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Affiliation(s)
- Xiaomin Chen
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Shunfeng Hu
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Yang Han
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Yiqing Cai
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Tiange Lu
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Xinting Hu
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Yurou Chu
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China
| | - Xiangxiang Zhou
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China.
- Shandong Provincial Engineering Research Center of Lymphoma, Jinan, 250021, Shandong, China.
- Branch of National Clinical Research Center for Hematologic Diseases, Jinan, 250021, Shandong, China.
- National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, 251006, China.
| | - Xin Wang
- Department of Hematology, Shandong Provincial Hospital, Shandong University, Jinan, 250021, Shandong, China.
- Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, No. 324, Jingwu Road, Jinan, 250021, Shandong, China.
- Shandong Provincial Engineering Research Center of Lymphoma, Jinan, 250021, Shandong, China.
- Branch of National Clinical Research Center for Hematologic Diseases, Jinan, 250021, Shandong, China.
- National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University, Suzhou, 251006, China.
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15
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Xi Y, Gao L, Li S, Sun K, Chen P, Cai Z, Ren W, Zhi K. The role of novel programmed cell death in head and neck squamous cell carcinoma: from mechanisms to potential therapies. Front Pharmacol 2023; 14:1228985. [PMID: 37818196 PMCID: PMC10560744 DOI: 10.3389/fphar.2023.1228985] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/05/2023] [Indexed: 10/12/2023] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) is a common oral cancer with poor prognosis and for which no targeted therapeutic strategies are currently available. Accumulating evidence has demonstrated that programmed cell death (PCD) is essential in the development of HNSCC as a second messenger. PCD can be categorized into numerous different subroutines: in addition to the two well-known types of apoptosis and autophagy, novel forms of programmed cell death (e.g., necroptosis, pyroptosis, ferroptosis, and NETosis) also serve as key alternatives in tumorigenesis. Cancer cells are not able to avoid all types of cell death simultaneously, since different cell death subroutines follow different regulatory pathways. Herein, we summarize the roles of novel programmed cell death in tumorigenesis and present our interpretations of the molecular mechanisms with a view to the development of further potential therapies.
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Affiliation(s)
- Yujie Xi
- Department of Oral and Maxillofacial Reconstruction, The Affiliated Hospital of Qingdao University, Qingdao, China
- Key Lab of Oral Clinical Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
- Experimental Research Centre, China Academy of Chinese Medical Science, Beijing, China
| | - Ling Gao
- Department of Oral and Maxillofacial Reconstruction, The Affiliated Hospital of Qingdao University, Qingdao, China
- Key Lab of Oral Clinical Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
- School of Stomatology of Qingdao University, Qingdao, China
| | - Shaming Li
- Department of Oral and Maxillofacial Reconstruction, The Affiliated Hospital of Qingdao University, Qingdao, China
- School of Stomatology of Qingdao University, Qingdao, China
| | - Kai Sun
- Department of Oral and Maxillofacial Reconstruction, The Affiliated Hospital of Qingdao University, Qingdao, China
- School of Stomatology of Qingdao University, Qingdao, China
| | - Peishen Chen
- Department of Stomatology, People’s Hospital of Juxian, Rizhao, China
| | - Zhen Cai
- Department of Stomatology, Linyi People’s Hospital, Linyi, Shandong, China
| | - Wenhao Ren
- Department of Oral and Maxillofacial Reconstruction, The Affiliated Hospital of Qingdao University, Qingdao, China
- Key Lab of Oral Clinical Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Keqian Zhi
- Department of Oral and Maxillofacial Reconstruction, The Affiliated Hospital of Qingdao University, Qingdao, China
- Key Lab of Oral Clinical Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China
- School of Stomatology of Qingdao University, Qingdao, China
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16
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Song J, Xu Z, Fan Q, Sun Y, Lin X. The PANoptosis-related signature indicates the prognosis and tumor immune infiltration features of gliomas. Front Mol Neurosci 2023; 16:1198713. [PMID: 37501725 PMCID: PMC10369193 DOI: 10.3389/fnmol.2023.1198713] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 06/19/2023] [Indexed: 07/29/2023] Open
Abstract
Background Gliomas are the most common primary tumors of the central nervous system, with high heterogeneity and highly variable survival rates. Accurate classification and prognostic assessment are key to the selection of treatment strategies. One hallmark of the tumor is resistance to cell death. PANoptosis, a novel mode of programmed cell death, has been frequently reported to be involved in the innate immunity associated with pathogen infection and played an important role in cancers. However, the intrinsic association of PANoptosis with glioma requires deeper investigation. Methods The genetics and expression of the 17 reported PANoptosome-related genes were analyzed in glioma. Based on these genes, patients were divided into two subtypes by consensus clustering analysis. After obtaining the differentially expressed genes between clusters, a prognostic model called PANopotic score was constructed after univariate Cox regression, LASSO regression, and multivariate Cox regression. The expression of the 5 genes included in the PANopotic score was also examined by qPCR in our cohort. The prognostic differences, clinical features, TME infiltration status, and immune characteristics between PANoptotic clusters and score groups were compared, some of which even extended to pan-cancer levels. Results Gene mutations, CNVs and altered gene expression of PANoptosome-related genes exist in gliomas. Two PANoptotic clusters were significantly different in prognosis, clinical features, immune characteristics, and mutation landscapes. The 5 genes included in the PANopotic score had significantly altered expression in glioma samples in our cohort. The high PANoptotic score group was inclined to show an unfavorable prognosis, lower tumor purity, worse molecular genetic signature, and distinct immune characteristics related to immunotherapy. The PANoptotic score was considered as an independent prognostic factor for glioma and showed superior prognostic assessment efficacy over several reported models. PANopotic score was included in the nomogram constructed for the potential clinical prognostic application. The associations of PANoptotic score with prognostic assessment and tumor immune characteristics were also reflected at the pan-cancer level. Conclusion Molecular subtypes of glioma based on PANoptosome-related genes were proposed and PANoptotic score was constructed with different clinical characteristics of anti-tumor immunity. The potential intrinsic association between PANoptosis and glioma subtypes, prognosis, and immunotherapy was revealed.
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Affiliation(s)
- Jingjing Song
- The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Medical Integration and Practice Center, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Zekun Xu
- Medical Integration and Practice Center, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Qingchen Fan
- Medical Integration and Practice Center, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Yanfei Sun
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, China
- Jinan Microecological Biomedicine Shandong Laboratory and Shandong Key Laboratory of Brain Function Remodeling, Jinan, China
| | - Xiaoying Lin
- The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Medical Integration and Practice Center, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
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Zhao Z, Sun C, Hou J, Yu P, Wei Y, Bai R, Yang P. Identification of STEAP3-based molecular subtype and risk model in ovarian cancer. J Ovarian Res 2023; 16:126. [PMID: 37386521 DOI: 10.1186/s13048-023-01218-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: 03/29/2023] [Accepted: 06/20/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Ovarian cancer (OC) is one of the most common malignancies in women. It has a poor prognosis owing to its recurrence and metastasis. Unfortunately, reliable markers for early diagnosis and prognosis of OC are lacking. Our research aimed to investigate the value of the six-transmembrane epithelial antigen of prostate family member 3 (STEAP3) as a prognostic predictor and therapeutic target in OC using bioinformatics analysis. METHODS STEAP3 expression and clinical data were acquired from The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO). Unsupervised clustering was used to identify molecular subtypes. Prognosis, tumor immune microenvironment (TIME), stemness indexes, and functional enrichment analysis were compared between two definite clusters. Through the least absolute shrinkage and selection operator (LASSO) regression analysis, a STEAP3-based risk model was developed, and the predictive effectiveness of this signature was confirmed using GEO datasets. A nomogram was used to predict the survival possibility of patients. Additionally, TIME, tumor immune dysfunction and exclusion (TIDE), stemness indexes, somatic mutations, and drug sensitivity were evaluated in different risk groups with OC. STEAP3 protein expression was detected using immunohistochemistry (IHC). RESULTS STEAP3 displayed marked overexpression in OC. STEAP3 is an independent risk factor for OC. Based on the mRNA levels of STEAP3-related genes (SRGs), two distinct clusters were identified. Patients in the cluster 2 (C2) subgroup had a considerably worse prognosis, higher immune cell infiltration, and lower stemness scores. Pathways involved in tumorigenesis and immunity were highly enriched in the C2 subgroup. A prognostic model based on 13 SRGs was further developed. Kaplan-Meier analysis indicated that the overall survival (OS) of high-risk patients was poor. The risk score was significantly associated with TIME, TIDE, stemness indexes, tumor mutation burden (TMB), immunotherapy response, and drug sensitivity. Finally, IHC revealed that STEAP3 protein expression was noticeably elevated in OC, and overexpression of STEAP3 predicted poor OS and relapse-free survival (RFS) of patients. CONCLUSION In summary, this study revealed that STEAP3 reliably predicts patient prognosis and provides novel ideas for OC immunotherapy.
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Affiliation(s)
- Zouyu Zhao
- First Affiliated Hospital, Shihezi University, Shihezi, China
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Chongfeng Sun
- First Affiliated Hospital, Shihezi University, Shihezi, China
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Jishuai Hou
- First Affiliated Hospital, Shihezi University, Shihezi, China
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Panpan Yu
- First Affiliated Hospital, Shihezi University, Shihezi, China
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China
| | - Yan Wei
- First Affiliated Hospital, Shihezi University, Shihezi, China
| | - Rui Bai
- First Affiliated Hospital, Shihezi University, Shihezi, China
| | - Ping Yang
- First Affiliated Hospital, Shihezi University, Shihezi, China.
- NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases, First Affiliated Hospital, School of Medicine, Shihezi University, Shihezi, China.
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Deng L, Zeng S, Yi Q, Song L. High expression of six-transmembrane epithelial antigen of prostate 3 promotes the migration and invasion and predicts unfavorable prognosis in glioma. PeerJ 2023; 11:e15136. [PMID: 37009153 PMCID: PMC10065001 DOI: 10.7717/peerj.15136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 03/07/2023] [Indexed: 03/30/2023] Open
Abstract
Recent studies have suggested that ferroptosis, a form of iron-dependent regulated cell death, might play essential roles in tumor initiation and progression. Six-transmembrane epithelial antigen of prostate 3 (STEAP3) is a ferrireductase involved in the regulation of intracellular iron homeostasis. However, the clinical significance and biological function of STEAP3 in human cancers remain poorly understood. Through a comprehensive bioinformatics analysis, we found that STEAP3 mRNA and protein expression were up-regulated in GBM, LUAD, and UCEC, and down-regulated in LIHC. Survival analysis indicated that STEAP3 had prognostic significance only in glioma. Multivariate Cox regression analysis revealed that high STEPA3 expression was correlated with poor prognosis. STEAP3 expression was significantly negatively correlated with promoter methylation level, and patients with lower STEAP3 methylation level had worse prognosis than those with higher STEAP3 methylation level. Single-cell functional state atlas showed that STEAP3 regulated epithelial-to-mesenchymal transition (EMT) in GBM. Furthermore, the results of wound healing and transwell invasion assays demonstrated that knocking down STEAP3 inhibited the migration and invasion of T98G and U251 cells. Functional enrichment analysis suggested that genes co-expressed with STEAP3 mainly participated in inflammation and immune-related pathways. Immunological analysis revealed that STEAP3 expression was significantly correlated with immune infiltration cells, including macrophages and neutrophils, especially the M2 macrophages. Individuals with low STEAP3 expression were more likely to respond to immunotherapy than those with high STEAP3 expression. These results suggest that STEAP3 promotes glioma progression and highlight its pivotal role in regulating immune microenvironment.
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Affiliation(s)
- Langmei Deng
- Department of Emergency, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Shuangshuang Zeng
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Qiaoli Yi
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Liying Song
- Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
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Li P, Wu X, Chen P, Gu Z. Prognostic Significance of Iron Metabolism Related Genes in Human Lung Adenocarcinoma. Cancer Manag Res 2023; 15:203-216. [PMID: 36860893 PMCID: PMC9968870 DOI: 10.2147/cmar.s398982] [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: 12/06/2022] [Accepted: 01/25/2023] [Indexed: 02/24/2023] Open
Abstract
Background Iron metabolism related genes participate in cell proliferation, cell growth, and redox cycling in multiple cancers. Limited studies have revealed the roles and clinical significance of iron metabolism in the pathogenesis and prognosis of lung cancer. Methods A total of 119 iron metabolism related genes were extracted from MSigDB database and their prognostic values were determined in The Cancer Genome Atlas lung adenocarcinoma (TCGA-LUAD) dataset and the Gene Expression Profiling Interactive Analysis 2 (GEPIA 2) database. Immunohistochemistry technique and correlations with immune cell infiltration, gene mutation and drug resistance were used to identify the potential and underlying mechanisms of STEAP1 and STEAP2 as prognostic biomarkers of LUAD. Results The expression of STEAP1 and STEAP2 are negatively associated with the prognosis of LUAD patients both at the mRNA and protein level. The expression of STEAP1 and STEAP2 was not only negatively correlated with the trafficking degree of CD4+ T immune cells and positively related to most immune cells' trafficking degree, but also significantly associated with gene mutation status, particularly with mutations on TP53 and STK11. Four types of drug resistance showed significant correlation with the expression level of STEAP1 while 13 types of drug resistance were associated with the expression level of STEAP2. Conclusion Multiple iron metabolism related genes including STEAP1 and STEAP2 are significantly associated with the prognosis of LUAD patients. STEAP1 and STEAP2 might affect the prognosis of LUAD patients partially through immune cell infiltration, gene mutation and drug resistance, which indicated they were independent prognostic factors for LUAD patients.
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Affiliation(s)
- Pu Li
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Xiaoqiong Wu
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China
| | - Peizhan Chen
- Clinical Research Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201821, People’s Republic of China,Peizhan Chen, Clinical Research Center, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201821, People’s Republic of China, Tel +86 13918550745, Email
| | - Zhidong Gu
- Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People’s Republic of China,Department of Laboratory Medicine, Ruijin-Hainan Hospital, Shanghai Jiao Tong University School of Medicine (Hainan Boao Research Hospital), Hainan, People’s Republic of China,Correspondence: Zhidong Gu, Department of Laboratory Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201821, People’s Republic of China, Tel +86 13801653534, Email
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20
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Ju MH, Jang EJ, Kang SH, Roh YH, Jeong JS, Han SH. Six-Transmembrane Epithelial Antigen of Prostate 4: An Indicator of Prognosis and Tumor Immunity in Hepatocellular Carcinoma. J Hepatocell Carcinoma 2023; 10:643-658. [PMID: 37101765 PMCID: PMC10124562 DOI: 10.2147/jhc.s394973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 03/14/2023] [Indexed: 04/28/2023] Open
Abstract
Purpose The six-transmembrane epithelial antigen of prostate 4 (STEAP4) has been linked to tumor progression via its involvement in inflammatory responses, oxidative stress, and metabolism. However, STEAP4 has rarely been studied in hepatocellular carcinoma (HCC). We explored STEAP4 expression associated with tumor prognosis to understand its role in tumor biology in HCC. Patients and Methods STEAP4 mRNA and protein expressions were primarily analyzed using bioinformatics tools based on The Cancer Genome Atlas database to understand the expression pattern, molecular mechanism, prognostic impact, and association with immune cell infiltration. We further investigated the association between STEAP4 protein expression and clinicopathological parameters and their predictive value in HCC patients using immunohistochemical staining of tissue microarrays. Results The expression of STEAP4 mRNA and protein in HCC tissues was significantly lower than in normal liver tissues. Reduced expression of STEAP4 was linked to advanced HCC stages, poor recurrence-free survival (RFS), and overall survival. Furthermore, reduced STEAP4 expression was a significant predictor of worse RFS in univariate and multivariate analyses in the immunohistochemical cohort. GO, KEGG, and GSEA analyses revealed that STEAP4 is related to numerous biological processes and pathways, including drug metabolism, DNA replication, RNA metabolism, and immune response. In terms of the immune system, the decreased level of STEAP4 was correlated with the immunosuppressive microenvironment. Conclusion Our data indicated that reduced STEAP4 expression was significantly associated with tumor aggressiveness and poor prognosis, possibly because of its link to various biological processes and induction of HCC immune evasion. Therefore, STEAP4 expression may serve as a potential prognostic biomarker for cancer progression and immunity, as well as a therapeutic target in HCC.
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Affiliation(s)
- Mi Ha Ju
- Department of Pathology, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Eun Jeong Jang
- Department of Surgery, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Sung Hwa Kang
- Department of Surgery, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Young Hoon Roh
- Department of Surgery, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Jin Sook Jeong
- Department of Pathology, Dong-A University College of Medicine, Busan, Republic of Korea
| | - Song-Hee Han
- Department of Pathology, Dong-A University College of Medicine, Busan, Republic of Korea
- Correspondence: Song-Hee Han, Department of Pathology, Dong-A University College of Medicine, 26, Daesingongwon-ro, Seo-gu, Busan, 49201, Republic of Korea, Tel +82-51-240-2863, Fax +82-51-240-7396, Email
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21
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Wang J, Xiang C, Cai Y, Mei Z, Lu Q, Liu B, Zou L. Clinicopathological and prognostic significance of COX-2 in glioma patients: a meta-analysis. ARQUIVOS DE NEURO-PSIQUIATRIA 2022; 80:1254-1261. [PMID: 36580964 PMCID: PMC9800163 DOI: 10.1055/s-0042-1758864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND In recent years, cyclooxygenase-2 (COX-2) has been identified as a cancer stem cell (CSC) marker in gliomas. Nevertheless, the clinical and prognostic significance of COX-2 in glioma patients remains controversial. OBJECTIVE To evaluate the correlation of COX-2 with the prognosis in glioma patients. METHODS Eligible studies on this subject were included, and pooled odd ratios (ORs) and hazard ratios (HRs) with 95% confidence intervals (95%CIs) were estimated. Publication bias was assessed through funnel plots, and heterogeneity and sensitivity were analyzed as well. RESULTS In the present study, 11 articles with a total of 641 patients were included. The high expression of COX-2 in glioma patients was negatively associated with overall survival (OS) (n = 11; HR = 2.26; 95%CI = 1.79-2.86), and the subgroup analysis showed no differences in OS between Asian (n = 5; HR = 2.16; 95%CI = 1.57-2.97) and non-Asian (n = 6; HR = 2.39; 95%CI = 1.69-3.38) glioma patients. The Begg funnel plots test indicated that there was no evident risk of publication bias in the meta-analysis. CONCLUSION The present study suggests that COX-2 could be recommended as a useful pathological and prognostic biomarker in the clinical practice.
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Affiliation(s)
- Jun Wang
- China Three Gorges University, The People's Hospital, Yichang, Hubei Province, China.
| | - Chenyan Xiang
- China Three Gorges University, The People's Hospital, Yichang, Hubei Province, China.
| | - Yi Cai
- China Three Gorges University, College of Basic Medical Sciences, Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, Yichang, Hubei, China.,China Three Gorges University, College of Basic Medical Sciences, The Institute of Infection and Inflammation, Yichang, China.
| | - Ziyi Mei
- China Three Gorges University, College of Basic Medical Sciences, Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, Yichang, Hubei, China.,China Three Gorges University, College of Basic Medical Sciences, The Institute of Infection and Inflammation, Yichang, China.
| | - Qianqian Lu
- China Three Gorges University, College of Basic Medical Sciences, Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, Yichang, Hubei, China.,China Three Gorges University, College of Basic Medical Sciences, The Institute of Infection and Inflammation, Yichang, China.
| | - Binbin Liu
- China Three Gorges University, College of Basic Medical Sciences, Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, Yichang, Hubei, China.,China Three Gorges University, College of Basic Medical Sciences, The Institute of Infection and Inflammation, Yichang, China.
| | - Lili Zou
- China Three Gorges University, College of Basic Medical Sciences, Hubei Key Laboratory of Tumor Microenvironment and Immunotherapy, Yichang, Hubei, China.,China Three Gorges University, College of Basic Medical Sciences, The Institute of Infection and Inflammation, Yichang, China.,Address for correspondence Lili Zou
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22
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STEAP3 can predict the prognosis and shape the tumor microenvironment of clear cell renal cell carcinoma. BMC Cancer 2022; 22:1204. [PMID: 36424540 PMCID: PMC9686107 DOI: 10.1186/s12885-022-10313-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 11/14/2022] [Indexed: 11/25/2022] Open
Abstract
Clear cell renal cell carcinoma (ccRCC) is a common malignant tumor of the urinary system characterized by poor prognosis and difficult treatment. It has been reported that iron metabolism dysregulation is a common phenomenon in ccRCC and is closely related to the process of ccRCC. But still now, the exact function and underlying mechanisms of iron metabolism dysregulation in ccRCC have not been fully elucidated. In this study, we comprehensively investigated the prognostic value and potential role of STEAP3 (an iron metabolism-related gene) in ccRCC. STEAP3 is significantly up-regulated in ccRCC. High STEAP3 expression is associated with gender, hemoglobin level, pathological grade, tumor stage and significantly predicts an unfavorable prognosis of ccRCC patients. Functional enrichment analysis and evaluation of the tumor microenvironment indicated that STEAP3 was involved in the remodeling of tumor extracellular matrix and the shaping of an immune-suppressive tumor microenvironment to promote tumor metastasis and evade immune killing. Besides, the expression of STEAP3 is also associated with the expression of various immune checkpoint molecules and the IC50 of targeted drugs. Finally, we verified STEAP3 by RT-qPCR and IHC staining. In conclusion, we found that STEAP3 can serve as a candidate prognostic biomarker for ccRCC, and targeting STEAP3 and its biological processes may provide new references for the individualized treatment of ccRCC.
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23
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Luo Y, Tian G, Fang X, Bai S, Yuan G, Pan Y. Ferroptosis and Its Potential Role in Glioma: From Molecular Mechanisms to Therapeutic Opportunities. Antioxidants (Basel) 2022; 11:2123. [PMID: 36358495 PMCID: PMC9686959 DOI: 10.3390/antiox11112123] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/20/2022] [Accepted: 10/26/2022] [Indexed: 09/29/2023] Open
Abstract
Glioma is the most common intracranial malignant tumor, and the current main standard treatment option is a combination of tumor surgical resection, chemotherapy and radiotherapy. Due to the terribly poor five-year survival rate of patients with gliomas and the high recurrence rate of gliomas, some new and efficient therapeutic strategies are expected. Recently, ferroptosis, as a new form of cell death, has played a significant role in the treatment of gliomas. Specifically, studies have revealed key processes of ferroptosis, including iron overload in cells, occurrence of lipid peroxidation, inactivation of cysteine/glutathione antiporter system Xc- (xCT) and glutathione peroxidase 4 (GPX4). In the present review, we summarized the molecular mechanisms of ferroptosis and introduced the application and challenges of ferroptosis in the development and treatment of gliomas. Moreover, we highlighted the therapeutic opportunities of manipulating ferroptosis to improve glioma treatments, which may improve the clinical outcome.
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Affiliation(s)
- Yusong Luo
- Department of Neurosurgery, Lanzhou University Second Hospital, Lanzhou 730030, China
- Key Laboratory of Neurology of Gansu Province, Lanzhou 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China
| | - Guopeng Tian
- Department of Neurosurgery, Lanzhou University Second Hospital, Lanzhou 730030, China
- Key Laboratory of Neurology of Gansu Province, Lanzhou 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China
| | - Xiang Fang
- Department of Neurosurgery, Lanzhou University Second Hospital, Lanzhou 730030, China
- Key Laboratory of Neurology of Gansu Province, Lanzhou 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China
| | - Shengwei Bai
- Department of Neurosurgery, Lanzhou University Second Hospital, Lanzhou 730030, China
- Key Laboratory of Neurology of Gansu Province, Lanzhou 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China
| | - Guoqiang Yuan
- Department of Neurosurgery, Lanzhou University Second Hospital, Lanzhou 730030, China
- Key Laboratory of Neurology of Gansu Province, Lanzhou 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China
| | - Yawen Pan
- Department of Neurosurgery, Lanzhou University Second Hospital, Lanzhou 730030, China
- Key Laboratory of Neurology of Gansu Province, Lanzhou 730030, China
- The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China
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24
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Tsymbal S, Li G, Agadzhanian N, Sun Y, Zhang J, Dukhinova M, Fedorov V, Shevtsov M. Recent Advances in Copper-Based Organic Complexes and Nanoparticles for Tumor Theranostics. Molecules 2022; 27:7066. [PMID: 36296659 PMCID: PMC9611640 DOI: 10.3390/molecules27207066] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 10/11/2022] [Accepted: 10/15/2022] [Indexed: 08/19/2023] Open
Abstract
Treatment of drug-resistant forms of cancer requires consideration of their hallmark features, such as abnormal cell death mechanisms or mutations in drug-responding molecular pathways. Malignant cells differ from their normal counterparts in numerous aspects, including copper metabolism. Intracellular copper levels are elevated in various cancer types, and this phenomenon could be employed for the development of novel oncotherapeutic approaches. Copper maintains the cell oxidation levels, regulates the protein activity and metabolism, and is involved in inflammation. Various copper-based compounds, such as nanoparticles or metal-based organic complexes, show specific activity against cancer cells according to preclinical studies. Herein, we summarize the major principles of copper metabolism in cancer cells and its potential in cancer theranostics.
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Affiliation(s)
- Sergey Tsymbal
- International Institute of Solution Chemistry of Advanced Materials and Technologies, ITMO University, 197101 Saint Petersburg, Russia
| | - Ge Li
- Cancer Center & Department of Breast and Thyroid Surgery, Xiang’an Hospital of Xiamen University, School of Medicine, Xiamen University, 2000 Xiang’an Road East, Xiamen 361101, China
- Xiamen Key Laboratory for Endocrine-Related Cancer Precision Medicine, Xiang’an Hospital of Xiamen University, Xiamen 361101, China
| | - Nikol Agadzhanian
- International Institute of Solution Chemistry of Advanced Materials and Technologies, ITMO University, 197101 Saint Petersburg, Russia
| | - Yuhao Sun
- Guangxi University of Chinese Medicine, Nanning 530200, China
| | - Jiazhennan Zhang
- Day-Care Department, Xinjiang Medical University, Urumqi 830011, China
| | - Marina Dukhinova
- International Institute of Solution Chemistry of Advanced Materials and Technologies, ITMO University, 197101 Saint Petersburg, Russia
| | - Viacheslav Fedorov
- Laboratory of Biomedical Nanotechnologies, Institute of Cytology of the Russian Academy of Sciences, 194064 Saint Petersburg, Russia
| | - Maxim Shevtsov
- Laboratory of Biomedical Nanotechnologies, Institute of Cytology of the Russian Academy of Sciences, 194064 Saint Petersburg, Russia
- Personalized Medicine Centre, Almazov National Medical Research Centre, 2 Akkuratova Str., 197341 Saint Petersburg, Russia
- Department of Radiation Oncology, Klinikum Rechts der Isar, Technical University of Munich, 81675 Munich, Germany
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25
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STEAP1-4 (Six-Transmembrane Epithelial Antigen of the Prostate 1-4) and Their Clinical Implications for Prostate Cancer. Cancers (Basel) 2022; 14:cancers14164034. [PMID: 36011027 PMCID: PMC9406800 DOI: 10.3390/cancers14164034] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/18/2022] [Accepted: 08/19/2022] [Indexed: 11/23/2022] Open
Abstract
Simple Summary Despite recent therapeutic advances in the treatment of prostate cancer, metastatic castration-resistant prostate cancer continues to cause significant morbidity and mortality. New research into highly expressed proteins in metastatic castration-resistant prostate cancer shows that Six-Transmembrane Epithelial Antigen of the Prostate 1–4 (STEAP1–4) are significant drivers of prostate cancer aggressiveness and metastasis. STEAP1, in particular, is highly expressed on the plasma membrane of prostate cancer cells and has received significant attention as a potential therapeutic target. This review highlights what is known about STEAP1–4 and identifies knowledge gaps that require further research. Abstract Six-Transmembrane Epithelial Antigen of the Prostate 1–4 (STEAP1–4) compose a family of metalloproteinases involved in iron and copper homeostasis and other cellular processes. Thus far, five homologs are known: STEAP1, STEAP1B, STEAP2, STEAP3, and STEAP4. In prostate cancer, STEAP1, STEAP2, and STEAP4 are overexpressed, while STEAP3 expression is downregulated. Although the metalloreductase activities of STEAP1–4 are well documented, their other biological functions are not. Furthermore, the properties and expression levels of STEAP heterotrimers, homotrimers, heterodimers, and homodimers are not well understood. Nevertheless, studies over the last few decades have provided sufficient impetus to investigate STEAP1–4 as potential biomarkers and therapeutic targets for prostate cancer. In particular, STEAP1 is the target of many emerging immunotherapies. Herein, we give an overview of the structure, physiology, and pathophysiology of STEAP1–4 to provide context for past and current efforts to translate STEAP1–4 into the clinic.
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26
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Zheng H, Yan T, Han Y, Wang Q, Zhang G, Zhang L, Zhu W, Xie L, Guo X. Nomograms for prognostic risk assessment in glioblastoma multiforme: Applications and limitations. Clin Genet 2022; 102:359-368. [PMID: 35882630 DOI: 10.1111/cge.14200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 07/21/2022] [Accepted: 07/22/2022] [Indexed: 12/26/2022]
Abstract
Glioblastoma multiforme (GBM) is the most common and aggressive form of brain cancer. Prognosis evaluation is of great significance in guiding individualized treatment and monitoring of GBM. By integrating different prognostic variables, nomograms simplify the statistical risk prediction model into numerical estimates for death or recurrence, and are hence widely applied in prognosis prediction. In the past two decades, the application of high-throughput profiling technology and the establishment of TCGA database and other public data deposits have provided opportunities to identify cancer-related molecules and prognostic biomarkers. As a result, both molecular features and clinical characteristics of cancer have been reported to be the key factors in nomogram model construction. This article comprehensively reviewed 35 studies of GBM nomograms, analyzed the present situation of GBM nomograms, and discussed the role and significance of nomograms in personalized risk assessment and clinical treatment decision-making. To facilitate the application of nomograms in the prognostic prediction of GBM patients, a website has been established for the online access of nomograms based on the studies of this review, which is called Consensus Nomogram Spectrum for Glioblastoma (CNSgbm) and is accessible through https://bioinfo.henu.edu.cn/nom/NomList.jsp.
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Affiliation(s)
- Hong Zheng
- Institute of Biomedical Informatics, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, China
| | - Taoning Yan
- Institute of Biomedical Informatics, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, China
| | - Yunsong Han
- Institute of Biomedical Informatics, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, China
| | - Qiang Wang
- School of Software, Institute of Biomedical Informatics, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, China
| | - Guosen Zhang
- Institute of Biomedical Informatics, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, China
| | - Lu Zhang
- Institute of Biomedical Informatics, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, China
| | - Wan Zhu
- Department of Anesthesia, Stanford University, Stanford, California, USA
| | - Longxiang Xie
- Institute of Biomedical Informatics, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, China
| | - Xiangqian Guo
- Institute of Biomedical Informatics, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Basic Medical Sciences, Academy for Advanced Interdisciplinary Studies, Henan University, Kaifeng, China
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27
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Xiao S, Yan Z, Zeng F, Lu Y, Qiu J, Zhu X. Identification of a pyroptosis-related prognosis gene signature and its relationship with an immune microenvironment in gliomas. Medicine (Baltimore) 2022; 101:e29391. [PMID: 35839032 PMCID: PMC11132325 DOI: 10.1097/md.0000000000029391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 04/12/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Glioma is the most common type of primary brain cancer, and the prognosis of most patients with glioma is poor. Pyroptosis is a newly discovered inflammatory programmed cell death. However, the expression of pyroptosis-related genes (PRGs) in glioma and its correlation with prognosis are unclear. METHODS 27 pyroptosis genes differentially expressed between glioma and adjacent normal tissues were identified. All glioma cases could be stratified into 2 subtypes based on these differentially expressed PRGs. The prognostic value of each PRG was evaluated to construct a prognostic model. RESULTS A novel 16-gene signature was constructed by using the least absolute shrinkage and selection operator Cox regression method. Then, patients with glioma were divided into low- and high-risk groups in the TCGA cohort. The survival rate of patients in the low-risk group was significantly higher than that in the high-risk group (P = .001). Patients with glioma from the Gene Expression Omnibus (GEO) cohort were stratified into 2 risk groups by using the median risk score. The overall survival (OS) of the low-risk group was longer than that of the high-risk group (P = .001). The risk score was considered an independent prognostic factor of the OS of patients with glioma. Gene ontology and Kyoto Encylopedia of Genes and Genomes analysis showed that the differentially expressed PRGs were mainly related to neutrophil activation involved in immune responses, focal adhesion, cell cycle, and p53 signaling pathway. CONCLUSION PRGs could predict the prognosis of glioma and play significant roles in a tumor immune microenvironment.
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Affiliation(s)
- Shengying Xiao
- Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi 530021, P.R. China
- Department of Oncology, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan 410016, P.R. China
| | - Zhiguang Yan
- Department of Orthopedics, Ningxiang Hospital Affiliated to Hunan University of Chinese Medicine, Ningxiang, Hunan, 410600, P.R. China
| | - Furen Zeng
- Department of Oncology, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan 410016, P.R. China
| | - Yichen Lu
- Department of Oncology, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan 410016, P.R. China
| | - Jun Qiu
- Department of Oncology, Hunan Provincial People’s Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan 410016, P.R. China
| | - Xiaodong Zhu
- Department of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi 530021, P.R. China
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A Ferroptosis Molecular Subtype-Related Signature for Predicting Prognosis and Response to Chemotherapy in Patients with Chronic Lymphocytic Leukemia. BIOMED RESEARCH INTERNATIONAL 2022; 2022:5646275. [PMID: 35845961 PMCID: PMC9279058 DOI: 10.1155/2022/5646275] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 06/13/2022] [Indexed: 12/21/2022]
Abstract
Ferroptosis is a type of regulated cell death catalyzed by the iron-dependent accumulation of lipid hydroperoxides to lethal levels. Chronic lymphocytic leukemia (CLL) is a chronic lymphoproliferative disorder. However, the understanding of ferroptosis in CLL remains largely poor. In this study, we investigated the stratification and prognostic role of ferroptosis-related genes in CLL patients of ICGC cohort. We obtained fourteen genes with prognostic value by screening 110 ferroptosis-related genes (FRGs). Based on the expression profiles of these 14 genes, we classified CLL patients into two clusters. Most of the FRGs were highly expressed in cluster 1, and cluster 1 was associated with better overall survival (OS). Subsequently, we developed an eight-gene signature (TP63, STEAP3, NQO1, ELAVL1, PRKAA1, HELLS, FANCD2, and CDKN2A) by using LASSO analysis. This risk signature divided CLL patients into high- and low-risk groups. We used Cox regression analysis and ROC analysis demonstrated the risk signature was reliable and robust. And we validated the risk model in an external cohort (GSE22762). We also conducted enrichment analysis and genomic mutation analysis. Finally, we explored the potential effect of chemotherapy between the two risk groups. Our study contributed to understanding the role of ferroptosis in CLL and facilitated personalized and precision treatment.
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Ferroptosis Modulation: Potential Therapeutic Target for Glioblastoma Treatment. Int J Mol Sci 2022; 23:ijms23136879. [PMID: 35805884 PMCID: PMC9266903 DOI: 10.3390/ijms23136879] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 06/15/2022] [Accepted: 06/16/2022] [Indexed: 12/12/2022] Open
Abstract
Glioblastoma multiforme is a lethal disease and represents the most common and severe type of glioma. Drug resistance and the evasion of cell death are the main characteristics of its malignancy, leading to a high percentage of disease recurrence and the patients’ low survival rate. Exploiting the modulation of cell death mechanisms could be an important strategy to prevent tumor development and reverse the high mortality and morbidity rates in glioblastoma patients. Ferroptosis is a recently described type of cell death, which is characterized by iron accumulation, high levels of polyunsaturated fatty acid (PUFA)-containing phospholipids, and deficiency in lipid peroxidation repair. Several studies have demonstrated that ferroptosis has a potential role in cancer treatment and could be a promising approach for glioblastoma patients. Thus, here, we present an overview of the mechanisms of the iron-dependent cell death and summarize the current findings of ferroptosis modulation on glioblastoma including its non-canonical pathway. Moreover, we focused on new ferroptosis-inducing compounds for glioma treatment, and we highlight the key ferroptosis-related genes to glioma prognosis, which could be further explored. Thereby, understanding how to trigger ferroptosis in glioblastoma may provide promising pharmacological targets and indicate new therapeutic approaches to increase the survival of glioblastoma patients.
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Li X, Xiong K, Bi D, Zhao C. A Novel CRISPR/Cas9 Screening Potential Index for Prognostic and Immunological Prediction in Low-Grade Glioma. Front Genet 2022; 13:839884. [PMID: 35586564 PMCID: PMC9109250 DOI: 10.3389/fgene.2022.839884] [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: 12/26/2021] [Accepted: 03/18/2022] [Indexed: 12/05/2022] Open
Abstract
Glioma is a malignancy with the highest mortality in central nervous system disorders. Here, we implemented the computational tools based on CRISPR/Cas9 to predict the clinical outcomes and biological characteristics of low-grade glioma (LGG). The transcriptional expression profiles and clinical phenotypes of LGG patients were retrieved from The Cancer Genome Atlas and Chinese Glioma Genome Atlas. The CERES algorithm was used to screen for LGG-lethal genes. Cox regression and random survival forest were adopted for survival-related gene selection. Nonnegative matrix factorization distinguished patients into different clusters. Single-sample gene set enrichment analysis was employed to create a novel CRISPR/Cas9 screening potential index (CCSPI), and patients were stratified into low- and high-CCSPI groups. Survival analysis, area under the curve values (AUCs), nomogram, and tumor microenvironment exploration were included for the model validation. A total of 20 essential genes in LGG were used to classify patients into two clusters and construct the CCSPI system. High-CCSPI patients were associated with a worse prognosis of both training and validation set (p < 0.0001) and higher immune fractions than low-CCSPI individuals. The CCSPI system had a promising performance with 1-, 3-, and 5-year AUCs of 0.816, 0.779, 0.724, respectively, and the C-index of the nomogram model reached 0.743 (95% CI = 0.725–0.760). Immune-infiltrating cells and immune checkpoints such as PD-1/PD-L1 and POLD3 were positively associated with CCSPI. In conclusion, the CCSPI had prognostic value in LGG, and the model will deepen our cognition of the interaction between the CNS and immune system in different LGG subtypes.
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Affiliation(s)
- Xiangpan Li
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Kewei Xiong
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China.,School of Mathematics and Statistics, Central China Normal University, Wuhan, China
| | - Dong Bi
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Chen Zhao
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China
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Comprehensive Landscape of STEAP Family Members Expression in Human Cancers: Unraveling the Potential Usefulness in Clinical Practice Using Integrated Bioinformatics Analysis. DATA 2022. [DOI: 10.3390/data7050064] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
The human Six-Transmembrane Epithelial Antigen of the Prostate (STEAP) family comprises STEAP1-4. Several studies have pointed out STEAP proteins as putative biomarkers, as well as therapeutic targets in several types of human cancers, particularly in prostate cancer. However, the relationships and significance of the expression pattern of STEAP1-4 in cancer cases are barely known. Herein, the Oncomine database and cBioPortal platform were selected to predict the differential expression levels of STEAP members and clinical prognosis. The most common expression pattern observed was the combination of the over- and underexpression of distinct STEAP genes, but cervical and gastric cancer and lymphoma showed overexpression of all STEAP genes. It was also found that STEAP genes’ expression levels were already deregulated in benign lesions. Regarding the prognostic value, it was found that STEAP1 (prostate), STEAP2 (brain and central nervous system), STEAP3 (kidney, leukemia and testicular) and STEAP4 (bladder, cervical, gastric) overexpression correlate with lower patient survival rate. However, in prostate cancer, overexpression of the STEAP4 gene was correlated with a higher survival rate. Overall, this study first showed that the expression levels of STEAP genes are highly variable in human cancers, which may be related to different patients’ outcomes.
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Zhang X, Jin S, Shi X, Liu S, Li K, Liu G, Zhong S, Liu T, Li L, Tao S, Zhai Q, Bao N, Ren L, Wu Y, Bao Y. Modulation of Tumor Immune Microenvironment and Prognostic Value of Ferroptosis-Related Genes, and Candidate Target Drugs in Glioblastoma Multiforme. Front Pharmacol 2022; 13:898679. [PMID: 35571123 PMCID: PMC9095828 DOI: 10.3389/fphar.2022.898679] [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: 03/17/2022] [Accepted: 04/13/2022] [Indexed: 12/22/2022] Open
Abstract
Glioblastoma multiforme (GBM) is the most common type of malignant brain tumor, among which IDH1-wild type GBM has a poor prognosis. Recent studies have shown that ferroptosis-related genes (FRGs) are correlated with the development and progression of cancer. In GBM, the role of FRGs associated with IDH1 status as biological indicators and therapeutic targets remains to be clarified. Ten of FRGs (STEAP3, HSPB1, MAP1LC3A, SOCS1, LOX, CAPG, CP, GDF15, CDKN1A, and CD44) associated with IDH1 status in GBM were identified as key genes through screening by survival analysis and Random Forest using The Cancer Genome Atlas (TCGA) datasets, and the protein expressions of key genes were verified. Transwell and qPCR results showed that ferroptosis promoted the migration of glioblastoma cells and affected the expression of key genes. Our study established the ferroptosis-related prognostic model for GBM patients based on ten key genes by a different modeling method from previous study, the GSVA algorithm. Further, we took the methods of functional enrichment analysis, clinical characteristics, immune cell infiltration, immunomodulator, ESTIMATE and single nucleotide variant (SNV) analysis to study the molecular mechanisms of prognostic model and key genes. The results showed that ten key genes were strongly associated with immune-related factors and were significantly involved in the p53 signaling pathway, senescence and autophagy in cancer, and in the negative regulation of protein kinase activity. Moreover, potential therapeutic drugs were identified by Virtual Screening and Molecular Docking. Our study indicated that the novel ferrotosis-related prognostic model for GBM patients and key genes possessed the prognostic and therapeutic values.
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Affiliation(s)
- Xudong Zhang
- Department of Neurosurgery, The Fourth Hospital of China Medical University, Shenyang, China
| | - Shengnan Jin
- Department of Developmental Cell Biology, China Medical University, Shenyang, China
| | - Xin Shi
- School of Maths and Information Science, Shangdong Technology and Business University, Yantai, China
- Business School, All Saints Campus, Manchester Metropolitan University, Manchester, United Kingdom
| | - Shengyu Liu
- Department of Neurosurgery, The Fourth Hospital of China Medical University, Shenyang, China
| | - Kunhang Li
- Department of Neurosurgery, The Fourth Hospital of China Medical University, Shenyang, China
| | - Guojun Liu
- Department of Neurosurgery, The Fourth Hospital of China Medical University, Shenyang, China
| | - Shiyu Zhong
- Department of Neurosurgery, The Fourth Hospital of China Medical University, Shenyang, China
| | - Tao Liu
- Department of Neurosurgery, The Fourth Hospital of China Medical University, Shenyang, China
| | - Lishuai Li
- Department of Neurosurgery, The Fourth Hospital of China Medical University, Shenyang, China
| | - Shanwei Tao
- Department of Neurosurgery, Luoyang Central Hospital Affiliated to Zhengzhou University, Luoyang, China
| | - Qingqing Zhai
- School of Management, Shanghai University, Baoshan, China
| | - Nan Bao
- College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Lijie Ren
- Health Science Center, Neurology Department of Shenzhen Second People’s Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - Ying Wu
- Phase I Clinical Trails Center, The First Affiliated Hospital of China Medical University, Shenyang, China
- *Correspondence: Yijun Bao, ; Ying Wu,
| | - Yijun Bao
- Department of Neurosurgery, The Fourth Hospital of China Medical University, Shenyang, China
- *Correspondence: Yijun Bao, ; Ying Wu,
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Zhu Y, Peng X, Zhou Q, Tan L, Zhang C, Lin S, Long M. METTL3-mediated m6A modification of STEAP2 mRNA inhibits papillary thyroid cancer progress by blocking the Hedgehog signaling pathway and epithelial-to-mesenchymal transition. Cell Death Dis 2022; 13:358. [PMID: 35436987 PMCID: PMC9016063 DOI: 10.1038/s41419-022-04817-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 03/22/2022] [Accepted: 03/31/2022] [Indexed: 12/23/2022]
Abstract
Papillary thyroid cancer (PTC) is a common endocrine system malignancy all over the world. Aberrant expression of six transmembrane epithelial antigen of the prostate 2 (STEAP2) has been functionally associated with cancer progression in many cancers. Nevertheless, its biological function in PTC is still unclear. Here, we found that PTC tissues had preferentially downregulated STEAP2 as compared with noncancerous tissues. Low STEAP2 expression correlated with aggressive clinicopathological characteristics and dismal prognosis in patients with PTC. We performed gain- and loss-of-function experiments, including cell proliferation assay (Cell Counting Kit-8 assay), EdU (5-ethynyl-2'-deoxyuridine) and colony formation assays, transwell migration, and invasion assays, and constructed a nude mouse xenograft tumor model. The results demonstrated that STEAP2 overexpression inhibited PTC cell proliferation, migration, and invasion in vitro and inhibited lung metastasis and tumorigenicity in vivo. Conversely, silencing STEAP2 yielded the opposite results in vitro. Mechanistically, bioinformatics analysis combined with validation experiments identified STEAP2 as the downstream target of methyltransferase-like 3 (METTL3)-mediated N6-methyladenosine (m6A) modification. METTL3 stabilized STEAP2 mRNA and regulated STEAP2 expression positively in an m6A-dependent manner. We also showed that m6A-mediated STEAP2 mRNA translation initiation relied on a pathway dependent on the m6A reader protein YTHDF1. Rescue experiments revealed that silencing STEAP2 partially rescued the tumor-suppressive phenotype induced by METTL3 overexpression. Lastly, we verified that the METTL3-STEAP2 axis functions as an inhibitor in PTC by suppressing epithelial-mesenchymal transition and the Hedgehog signaling pathway. Taken together, these findings strongly suggest that METTL3-mediated STEAP2 m6A modification plays a critical tumor-suppressive role in PTC progression. The METTL3-STEAP2 axis may be a potential therapeutic molecular target against PTC.
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Affiliation(s)
- Yue Zhu
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Research Center of Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.,Department of Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, 510120, China
| | - Xinzhi Peng
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Research Center of Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.,Department of Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, 510120, China
| | - Qianlei Zhou
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Research Center of Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.,Department of Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, 510120, China
| | - Langping Tan
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Research Center of Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.,Department of Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, 510120, China
| | - Cheng Zhang
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Research Center of Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.,Department of Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, 510120, China
| | - Shaojian Lin
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Research Center of Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.,Department of Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, 510120, China
| | - Miaoyun Long
- Guangdong Province Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Research Center of Medicine, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China. .,Department of Thyroid Surgery, Sun Yat-Sen Memorial Hospital, Guangzhou, 510120, China.
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34
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Liu T, Niu X, Li Y, Xu Z, Chen J, Xu G. Expression and prognostic analyses of the significance of STEAP1 and STEAP2 in lung cancer. World J Surg Oncol 2022; 20:96. [PMID: 35346237 PMCID: PMC8962583 DOI: 10.1186/s12957-022-02566-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 03/14/2022] [Indexed: 11/10/2022] Open
Abstract
PURPOSE Lung cancer is the leading cause of cancer-related mortality. STEAP1 and STEAP2 are overexpressed in various cancers. The purpose of this study was to evaluate the expression and prognostic value of STEAP1 and STEAP2 in patients with lung cancer. METHODS The mRNA expression and protein expression of STEAP1 and STEAP2 and their prognostic characteristics were examined using Oncomine, GEPIA, and Kaplan-Meier (KM) plotters. The correlation analysis of STEAP1 and STEAP2 gene and protein levels was conducted using GeneMANIA and STRING. KEGG pathway analysis was used to explore the related signal pathways of STEAP 1 and STEAP2. Immunohistochemical methods were used to compare the expression of STEAP2 in normal lung and non-small cell lung cancer (NSCLC) tissues. Real-time quantitative polymerase chain reaction, western blotting, and immunocytochemistry were used to evaluate the expression of STEAP1 and STEAP2 in three lung cancer cell lines and normal lung epithelial cell lines. RESULTS Analysis of the Oncomine database and GEPIA showed that STEAP1 was upregulated and STEAP2 was downregulated in lung cancer tissue, and both expressions were related to the clinical stage of lung cancer. Immunohistochemical analysis showed that STEAP1 protein expression was significantly upregulated in lung cancer compared to that in adjacent tissues. The expression of STEAP1 was positively correlated with the migration and invasion abilities of lung cancer cells. Compared with paracancer tissues, the expression of STEAP2 protein in lung cancer was significantly downregulated and was correlated with the histological grade of squamous cell carcinoma, pathological classification of adenocarcinoma, tumor, lymph node, and metastasis clinical stage, and lymph node metastasis. The expression of STEAP2 was negatively correlated with the migration and invasion abilities of lung cancer cells. The KM curve showed that the downregulation of STEAP1 expression and upregulation of STEAP2 expression were related to a good lung cancer prognosis. CONCLUSION STEAP1 and STEAP2 are expected to be potential diagnostic and prognostic markers for lung cancer, which may provide more accurate prognostic indicators for lung cancer.
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Affiliation(s)
- Tianshu Liu
- Department of Maternal and Child Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Xiaoxin Niu
- Department of Maternal and Child Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Yanqing Li
- Department of Maternal and Child Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Zekun Xu
- Department of Maternal and Child Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Jie Chen
- Department of Maternal and Child Health, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
| | - Geng Xu
- Department of Thoracic Surgery, Heze Municipal Hospital, Heze, 274031, Shandong, China.
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35
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Mitre AO, Florian AI, Buruiana A, Boer A, Moldovan I, Soritau O, Florian SI, Susman S. Ferroptosis Involvement in Glioblastoma Treatment. Medicina (B Aires) 2022; 58:medicina58020319. [PMID: 35208642 PMCID: PMC8876121 DOI: 10.3390/medicina58020319] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 02/13/2022] [Accepted: 02/16/2022] [Indexed: 12/16/2022] Open
Abstract
Glioblastoma multiforme (GBM) is one of the deadliest brain tumors. Current standard therapy includes tumor resection surgery followed by radiotherapy and chemotherapy. Due to the tumors invasive nature, recurrences are almost a certainty, giving the patients after diagnosis only a 12–15 months average survival time. Therefore, there is a dire need of finding new therapies that could potentially improve patient outcomes. Ferroptosis is a newly described form of cell death with several implications in cancer, among which GBM. Agents that target different molecules involved in ferroptosis and that stimulate this process have been described as potentially adjuvant anti-cancer treatment options. In GBM, ferroptosis stimulation inhibits tumor growth, improves patient survival, and increases the efficacy of radiation and chemotherapy. This review provides an overview of the current knowledge regarding ferroptosis modulation in GBM.
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Affiliation(s)
- Andrei-Otto Mitre
- Department of Morphological Sciences, Iuliu Hațieganu University of Medicine and Pharmacy, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania; (A.-O.M.); (A.B.); (I.M.); (S.S.)
| | - Alexandru Ioan Florian
- Department of Neurosurgery, Iuliu Hațieganu University of Medicine and Pharmacy, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania;
- Department, of Neurosurgery, Emergency County Hospital, 3-5 Clinicilor Street, 400006 Cluj-Napoca, Romania
- Correspondence:
| | - Andrei Buruiana
- Department of Medical Oncology, Prof. Dr. I. Chiricuta Oncology Institute, 400015 Cluj-Napoca, Romania;
| | - Armand Boer
- Department of Morphological Sciences, Iuliu Hațieganu University of Medicine and Pharmacy, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania; (A.-O.M.); (A.B.); (I.M.); (S.S.)
| | - Ioana Moldovan
- Department of Morphological Sciences, Iuliu Hațieganu University of Medicine and Pharmacy, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania; (A.-O.M.); (A.B.); (I.M.); (S.S.)
| | - Olga Soritau
- Research Department, Prof. Dr. I. Chiricuta Oncology Institute, 400015 Cluj-Napoca, Romania;
| | - Stefan Ioan Florian
- Department of Neurosurgery, Iuliu Hațieganu University of Medicine and Pharmacy, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania;
- Department, of Neurosurgery, Emergency County Hospital, 3-5 Clinicilor Street, 400006 Cluj-Napoca, Romania
| | - Sergiu Susman
- Department of Morphological Sciences, Iuliu Hațieganu University of Medicine and Pharmacy, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania; (A.-O.M.); (A.B.); (I.M.); (S.S.)
- Department of Pathology, IMOGEN Research Center, Louis Pasteur Street, 400349 Cluj-Napoca, Romania
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Guo Y, Li Y, Li J, Tao W, Dong W. DNA Methylation-Driven Genes for Developing Survival Nomogram for Low-Grade Glioma. Front Oncol 2022; 11:629521. [PMID: 35111661 PMCID: PMC8801588 DOI: 10.3389/fonc.2021.629521] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2020] [Accepted: 12/20/2021] [Indexed: 12/13/2022] Open
Abstract
Low-grade gliomas (LGG) are heterogeneous, and the current predictive models for LGG are either unsatisfactory or not user-friendly. The objective of this study was to establish a nomogram based on methylation-driven genes, combined with clinicopathological parameters for predicting prognosis in LGG. Differential expression, methylation correlation, and survival analysis were performed in 516 LGG patients using RNA and methylation sequencing data, with accompanying clinicopathological parameters from The Cancer Genome Atlas. LASSO regression was further applied to select optimal prognosis-related genes. The final prognostic nomogram was implemented together with prognostic clinicopathological parameters. The predictive efficiency of the nomogram was internally validated in training and testing groups, and externally validated in the Chinese Glioma Genome Atlas database. Three DNA methylation-driven genes, ARL9, CMYA5, and STEAP3, were identified as independent prognostic factors. Together with IDH1 mutation status, age, and sex, the final prognostic nomogram achieved the highest AUC value of 0.930, and demonstrated stable consistency in both internal and external validations. The prognostic nomogram could predict personal survival probabilities for patients with LGG, and serve as a user-friendly tool for prognostic evaluation, optimizing therapeutic regimes, and managing LGG patients.
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Affiliation(s)
- Yingyun Guo
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yuan Li
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jiao Li
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Weiping Tao
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Weiguo Dong
- Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China
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Guo Q, Li L, Hou S, Yuan Z, Li C, Zhang W, Zheng L, Li X. The Role of Iron in Cancer Progression. Front Oncol 2021; 11:778492. [PMID: 34858857 PMCID: PMC8631356 DOI: 10.3389/fonc.2021.778492] [Citation(s) in RCA: 54] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Accepted: 10/15/2021] [Indexed: 01/19/2023] Open
Abstract
Iron is an essential trace element for the human body, and its deficiency or excess can induce a variety of biological processes. Plenty of evidences have shown that iron metabolism is closely related to the occurrence and development of tumors. In addition, iron plays an important role in cell death, which is very important for the development of potential strategies for tumor treatment. Here, we reviewed the latest research about iron metabolism disorders in various types of tumors, the functions and properties of iron in ferroptosis and ferritinophagy, and new opportunities for iron-based on treatment methods for tumors, providing more information regarding the prevention and treatment of tumors.
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Affiliation(s)
- Qianqian Guo
- Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Liwen Li
- School of Life Science and Technology, Jiangsu Key Laboratory of Carcinogenesis and Intervention, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Shanshan Hou
- Department of Pharmacy, Zhejiang Pharmaceutical College, Ningbo, China
| | - Ziqiao Yuan
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Chenhui Li
- School of Life Science and Technology, Jiangsu Key Laboratory of Carcinogenesis and Intervention, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Wenzhou Zhang
- Department of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China
| | - Lufeng Zheng
- School of Life Science and Technology, Jiangsu Key Laboratory of Carcinogenesis and Intervention, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China
| | - Xiaoman Li
- Jiangsu Key Laboratory for Pharmacology and Safety Evaluation of Chinese Materia Medica, School of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China
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38
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Lu D, Yang N, Wang S, Liu W, Zhang D, Wang J, Huang B, Li X. Identifying the Predictive Role of Oxidative Stress Genes in the Prognosis of Glioma Patients. Med Sci Monit 2021; 27:e934161. [PMID: 34836934 PMCID: PMC8634738 DOI: 10.12659/msm.934161] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Background Gliomas are primary aggressive brain tumors with poor prognoses. Oxidative stress plays a crucial role in the tumorigenesis and drug resistance of gliomas. The aim of the present study was to use integrated bioinformatics analyses to evaluate the prognostic value of oxidative stress-related genes (OSRGs) in glioma. Material/Methods Disease- and prognosis-associated OSRGs were identified using microarray and clinical data from the Chinese Glioma Genome Atlas database. Functional enrichment, gene-gene interaction, protein-protein interaction, and survival analyses were performed in screened OSRGs. The protein expression was validated by the Human Protein Atlas database. A risk score model was constructed and verified through Cox regression, receiver operating characteristic curve, principal component, and stratified analyses. The Cancer Genome Atlas (TCGA) database was used for external validation. A nomogram was constructed to facilitate the clinical application. Results Twenty-one disease-associated and 14 prognosis-associated OSRGs were identified. Enrichment analyses indicated that these signature OSRGs were involved in tumorigenesis and drug resistance of glioma. The risk score model demonstrated a significant difference in overall survival between the high- and low-risk groups. The area under the curve and hazard ratio (1.296) revealed the independent prognostic value of the model. The model exhibited good predictive efficacy in the TCGA cohort. A clinical nomogram was constructed to calculate survival rates in glioma patients at 1, 3, and 5 years. Conclusions Our comprehensive study indicated that OSRGs were valuable for prognosis prediction in glioma, which provides a novel insight into the relationship between oxidative stress and glioma and a potential therapeutic strategy for glioma patients.
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Affiliation(s)
- Di Lu
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, Shandong, China (mainland).,Key Laboratory of Brain Function Remodeling, Qilu Hospital of Shandong University, Jinan, Shandong, China (mainland)
| | - Ning Yang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, Shandong, China (mainland).,Key Laboratory of Brain Function Remodeling, Qilu Hospital of Shandong University, Jinan, Shandong, China (mainland)
| | - Shuai Wang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, Shandong, China (mainland).,Key Laboratory of Brain Function Remodeling, Qilu Hospital of Shandong University, Jinan, Shandong, China (mainland)
| | - Wenyu Liu
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, Shandong, China (mainland).,Key Laboratory of Brain Function Remodeling, Qilu Hospital of Shandong University, Jinan, Shandong, China (mainland)
| | - Di Zhang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, Shandong, China (mainland).,Key Laboratory of Brain Function Remodeling, Qilu Hospital of Shandong University, Jinan, Shandong, China (mainland)
| | - Jian Wang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, Shandong, China (mainland).,Key Laboratory of Brain Function Remodeling, Qilu Hospital of Shandong University, Jinan, Shandong, China (mainland).,Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Bin Huang
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, Shandong, China (mainland).,Key Laboratory of Brain Function Remodeling, Qilu Hospital of Shandong University, Jinan, Shandong, China (mainland)
| | - Xingang Li
- Department of Neurosurgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University and Institute of Brain and Brain-Inspired Science, Shandong University, Jinan, Shandong, China (mainland).,Key Laboratory of Brain Function Remodeling, Qilu Hospital of Shandong University, Jinan, Shandong, China (mainland)
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Ozhan A, Tombaz M, Konu O. Discovery of Cancer-Specific and Independent Prognostic Gene Subsets of the Slit-Robo Family Using TCGA-PANCAN Datasets. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2021; 25:782-795. [PMID: 34757814 DOI: 10.1089/omi.2021.0097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The Slit-Robo family of axon guidance molecules works in concert, playing important roles in organ development and cancer. Expressions of individual Slit-Robo genes have been used in calculating univariable hazard ratios (HRuni) for predicting cancer prognosis in the literature. However, Slit-Robo members do not act independently; hence, hazard ratios from multivariable Cox regression (HRmulti) on the whole gene set can further lead to identification of cancer-specific, novel, and independent prognostic gene pairs or modules. Herein, we obtained mRNA expressions of the Slit-Robo family consisting of four Robos (ROBO1/2/3/4) and three Slits (SLIT1/2/3), along with four types of survival outcome across cancers found in the Cancer Genome Atlas (TCGA). We used cluster heat maps to visualize closely associated pairs/modules of prognostic genes across 33 different cancers. We found a smaller number of significant genes in HRmulti than in HRuni, suggesting that the former analysis was less redundant. High ROBO4 expression emerged as relatively protective within the family, in both types of HR analyses. Multivariable Cox regression, on the other hand, revealed significantly more HR signatures containing Slit-Robo pairs acting in opposing directions than those containing Slit-Slit or Robo-Robo pairs for disease-specific survival. Furthermore, we discovered, through the online app SmulTCan's lasso regression, Slit-Robo gene subsets that significantly differentiated between high- versus low-risk prognosis patient groups, particularly for renal cancers and low-grade glioma. The statistical pipeline reported herein can help test independent and significant pairs/modules within a codependent gene family for cancer prognostication, and thus should also prove useful in personalized/precision medicine research.
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Affiliation(s)
- Ayse Ozhan
- UNAM-National Nanotechnology Research Center, Institute of Material Science and Nanotechnology, Bilkent University, Ankara, Turkey
| | - Melike Tombaz
- Department of Molecular Biology and Genetics, Faculty of Science, Bilkent University, Ankara, Turkey
| | - Ozlen Konu
- UNAM-National Nanotechnology Research Center, Institute of Material Science and Nanotechnology, Bilkent University, Ankara, Turkey.,Department of Molecular Biology and Genetics, Faculty of Science, Bilkent University, Ankara, Turkey.,Interdisciplinary Graduate Program in Neuroscience, Aysel Sabuncu Brain Research Center, Bilkent University, Ankara, Turkey
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40
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Zhao Z, Wang Z, Song Z, Wu Y, Jin Q, Zhao Z. Predictive potential of STEAP family for survival, immune microenvironment and therapy response in glioma. Int Immunopharmacol 2021; 101:108183. [PMID: 34649092 DOI: 10.1016/j.intimp.2021.108183] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/08/2021] [Accepted: 09/19/2021] [Indexed: 10/20/2022]
Abstract
Glioma is the most commonly diagnosed primary tumor of central nervous system. Previous studies found that the six-transmembrane epithelial antigen of prostate (STEAP) family can regulate the biological behaviors of several cancers. However, the role of STEAP family in glioma remains unclear. Here, we systematically evaluated the relationship between STEAP family and prognosis of glioma patients in multiple cohorts. The analysis showed that dysregulation of STEAP family may affect cancer-immunity cycle, immune infiltration and phenotypes resulting in an immunosuppressive microenvironment in glioma. To accurately predict the prognosis of glioma patients, gene-based risk models were established based on the expression of STEAP1, 2 and 3. Multivariate and univariate Cox analyses demonstrated that the risk models could independently predict the prognosis of glioma. Finally, chemotherapy and immune therapy responses for high- and low-risk patients were predicted. In conclusion, this study systematically analyzed the role of STEAP family in glioma and established a model for predicting therapy response in patients with glioma.
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Affiliation(s)
- Zijun Zhao
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
| | - Zairan Wang
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
| | - Zihan Song
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
| | - Yue Wu
- Department of Neurology, The Second Hospital of Hebei Medical University, Hebei, Shijiazhuang, China.
| | - Qianxu Jin
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
| | - Zongmao Zhao
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang 050000, China.
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Luo C, Wang S, Liao W, Zhang S, Xu N, Xie W, Zhang Y. Upregulation of the APOBEC3 Family Is Associated with a Poor Prognosis and Influences Treatment Response to Raf Inhibitors in Low Grade Glioma. Int J Mol Sci 2021; 22:10390. [PMID: 34638749 PMCID: PMC8508917 DOI: 10.3390/ijms221910390] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 09/23/2021] [Accepted: 09/25/2021] [Indexed: 12/29/2022] Open
Abstract
Apolipoprotein B mRNA-editing enzyme catalytic polypeptide-like 3 (APOBEC3) has been identified as a group of enzymes that catalyze cytosine deamination in single-stranded (ss) DNA to form uracil, causing somatic mutations in some cancers. We analyzed the APOBEC3 family in 33 TCGA cancer types and the results indicated that APOBEC3s are upregulated in multiple cancers and strongly correlate with prognosis, particularly in low grade glioma (LGG). Then we constructed a prognostic model based on family expression in LGG where the APOBEC3 family signature is an accurate predictive model (AUC of 0.85). Gene mutation, copy number variation (CNV), and a differential gene expression (DEG) analysis were performed in different risk groups, and the weighted gene co-expression network analysis (WGCNA) was employed to clarify the role of various members in LGG; CIBERSORT algorithm was deployed to evaluate the landscape of LGG immune infiltration. We found that upregulation of the APOBEC3 family expression can strengthen Ras/MAPK signaling pathway, promote tumor progression, and ultimately reduce the treatment benefits of Raf inhibitors. Moreover, the APOBEC3 family was shown to enhance the immune response mediated by myeloid cells and interferon gamma, as well as PD-L1 and PD-L2 expression, implying that they have immunotherapy potential. Therefore, the APOBEC3 signature enables an efficient assessment of LGG patient survival outcomes and expansion of clinical benefits by selecting appropriate individualized treatment strategies.
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Affiliation(s)
- Cheng Luo
- China State Key Laboratory of Chemical Oncogenomics, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China; (C.L.); (S.W.); (W.L.); (S.Z.); (N.X.); (W.X.)
- Department of Biomedical Engineering, Tsinghua University, Beijing 100084, China
- Key Lab in Healthy Science and Technology of Shenzhen, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
| | - Songmao Wang
- China State Key Laboratory of Chemical Oncogenomics, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China; (C.L.); (S.W.); (W.L.); (S.Z.); (N.X.); (W.X.)
- Key Lab in Healthy Science and Technology of Shenzhen, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
- School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Weijie Liao
- China State Key Laboratory of Chemical Oncogenomics, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China; (C.L.); (S.W.); (W.L.); (S.Z.); (N.X.); (W.X.)
- Key Lab in Healthy Science and Technology of Shenzhen, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
| | - Shikuan Zhang
- China State Key Laboratory of Chemical Oncogenomics, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China; (C.L.); (S.W.); (W.L.); (S.Z.); (N.X.); (W.X.)
- Key Lab in Healthy Science and Technology of Shenzhen, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
- School of Life Sciences, Tsinghua University, Beijing 100084, China
| | - Naihan Xu
- China State Key Laboratory of Chemical Oncogenomics, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China; (C.L.); (S.W.); (W.L.); (S.Z.); (N.X.); (W.X.)
- Key Lab in Healthy Science and Technology of Shenzhen, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
- Open FIESTA Center, Tsinghua University, Shenzhen 518055, China
| | - Weidong Xie
- China State Key Laboratory of Chemical Oncogenomics, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China; (C.L.); (S.W.); (W.L.); (S.Z.); (N.X.); (W.X.)
- Key Lab in Healthy Science and Technology of Shenzhen, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
- Open FIESTA Center, Tsinghua University, Shenzhen 518055, China
| | - Yaou Zhang
- China State Key Laboratory of Chemical Oncogenomics, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China; (C.L.); (S.W.); (W.L.); (S.Z.); (N.X.); (W.X.)
- Key Lab in Healthy Science and Technology of Shenzhen, Tsinghua Shenzhen International Graduate School, Shenzhen 518055, China
- Open FIESTA Center, Tsinghua University, Shenzhen 518055, China
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The Usefulness of STEAP Proteins in Prostate Cancer Clinical Practice. Prostate Cancer 2021. [DOI: 10.36255/exonpublications.prostatecancer.steap.2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2023] Open
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