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Mitsui A, Iioka H, Ling Y, Okuda S, Kurose A, Schopperle M, Kondo T, Sakaguchi M, Saito K, Kondo E. Pathological and Biological Significance of the Specific Glycan, TRA-1-60, on Aggressive Gastric Adenocarcinoma. J Transl Med 2024; 104:102073. [PMID: 38718982 DOI: 10.1016/j.labinv.2024.102073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 04/16/2024] [Accepted: 04/30/2024] [Indexed: 05/27/2024] Open
Abstract
The glycans form a unique complex on the surface of cancer cells and play a pivotal role in tumor progression, impacting proliferation, invasion, and metastasis. TRA-1-60 is a glycan that was identified as a critical marker for the establishment of fully reprogrammed inducible pluripotent stem cells. Its expression has been detected in multiple cancer tissues, including embryonal carcinoma, prostate cancer, and pancreatic cancer, but the biological and pathological characterization of TRA-1-60-expressing tumor cells remains unclear within various types of malignancies. Here, we report the biological characteristics of TRA-1-60-expressing gastric cancer cells, especially those with its cell surface expression, and the therapeutic significance of targeting TRA-1-60. The cells with cell membrane expression of TRA-1-60 were mainly observed in the invasive area of patient gastric cancer tissues and correlated with advanced stages of the disease based on histopathological and clinicopathological analyses. In vitro analysis using a scirrhous gastric adenocarcinoma line, HSC-58, which highly expresses TRA-1-60 on its plasma membrane, revealed increased stress-resistant mechanisms, supported by the upregulation of glutathione synthetase and NCF-1 (p47phox) via lipid-ROS regulatory pathways, as detected by RNA-seq analysis followed by oxidative stress gene profiling. Our in vivo therapeutic study using the TRA-1-60-targeting antibody-drug conjugate, namely, Bstrongomab-conjugated monomethyl auristatin E, showed robust efficacy in a mouse model of peritoneal carcinomatosis induced by intraperitoneal xenograft of HSC-58, by markedly reducing massive tumor ascites. Thus, targeting the specific cell surface glycan, TRA-1-60, shows a significant therapeutic impact in advanced-stage gastric cancers.
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Affiliation(s)
- Ayaka Mitsui
- Division of Molecular and Cellular Pathology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Hidekazu Iioka
- Division of Molecular and Cellular Pathology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Yiwei Ling
- Division of Bioinformatics, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Shujiro Okuda
- Division of Bioinformatics, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Akira Kurose
- Department of Anatomic Pathology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan
| | | | - Tomoko Kondo
- Department of Molecular Pathology, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan
| | - Masakiyo Sakaguchi
- Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama, Japan
| | - Ken Saito
- Department of Clinical Engineering and Medical Technology, Niigata University of Health and Welfare, Niigata, Japan
| | - Eisaku Kondo
- Division of Molecular and Cellular Pathology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan; Division of Tumor Pathology, NIR-PIT Research Institute, Kansai Medical University, Osaka, Japan.
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Ren X, Cui H, Dai L, Chang L, Liu D, Yan W, Zhao X, Kang H, Ma X. PIK3CA mutation-driven immune signature as a prognostic marker for evaluating the tumor immune microenvironment and therapeutic response in breast cancer. J Cancer Res Clin Oncol 2024; 150:119. [PMID: 38466449 PMCID: PMC10927816 DOI: 10.1007/s00432-024-05626-4] [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: 08/02/2023] [Accepted: 01/16/2024] [Indexed: 03/13/2024]
Abstract
PURPOSE Gene mutations drive tumor immune microenvironment (TIME) heterogeneity, in turn affecting prognosis and immunotherapy efficacy. PIK3CA is the most frequently mutated gene in breast cancer (BC), yet its relevance to BC prognosis remains controversial. Herein, we sought to determine the impact of PIK3CA mutation-driven immune genes (PDIGs) on BC prognosis in relation to TIME heterogeneity. METHODS PIK3CA mutation characteristics were compared and verified between the TCGA-BRCA dataset and a patient cohort from our hospital. PIK3CA mutation-driven differentially expressed genes were identified for consensus clustering and weighted gene co-expression network analysis to select the modules most relevant to the immune subtype. Thereafter, the two were intersected to obtain PDIGs. Univariate Cox, LASSO, and multivariate Cox regression analyses were sequentially performed on PDIGs to obtain a PIK3CA mutation-driven immune signature (PDIS), which was then validated using the Gene Expression Omnibus (GEO) database. Differences in functional enrichment, mutation landscape, immune infiltration, checkpoint gene expression, and drug response were compared between different risk groups. RESULTS PIK3CA mutation frequencies in the TCGA and validation cohorts were 34.49% and 40.83%, respectively. PIK3CA mutants were significantly associated with ER, PR, and molecular BC subtypes in our hospital cohort. The PDIS allowed for effective risk stratification and exhibited prognostic power in TCGA and GEO sets. The low-risk patients exhibited greater immune infiltration, higher expression of common immune checkpoint factors, and lower scores for tumor immune dysfunction and exclusion. CONCLUSION The PDIS can be used as an effective prognostic model for predicting immunotherapy response to guide clinical decision-making.
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Affiliation(s)
- Xueting Ren
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Hanxiao Cui
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Luyao Dai
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Lidan Chang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Dandan Liu
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Wenyu Yan
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xuyan Zhao
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Huafeng Kang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
| | - Xiaobin Ma
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
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Sukjoi W, Young C, Acland M, Siritutsoontorn S, Roytrakul S, Klingler-Hoffmann M, Hoffmann P, Jitrapakdee S. Proteomic analysis of holocarboxylase synthetase deficient-MDA-MB-231 breast cancer cells revealed the biochemical changes associated with cell death, impaired growth signaling, and metabolism. Front Mol Biosci 2024; 10:1250423. [PMID: 38283944 PMCID: PMC10812114 DOI: 10.3389/fmolb.2023.1250423] [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: 06/30/2023] [Accepted: 12/27/2023] [Indexed: 01/30/2024] Open
Abstract
We have previously shown that the holocarboxylase synthetase (HLCS) is overexpressed in breast cancer tissue of patients, and silencing of its expression in triple-negative cancer cell line inhibits growth and migration. Here we investigated the global biochemical changes associated with HLCS knockdown in MDA-MB-231 cells to discern the pathways that involve HLCS. Proteomic analysis of two independent HLCS knockdown cell lines identified 347 differentially expressed proteins (DEPs) whose expression change > 2-fold (p < 0.05) relative to the control cell line. GO enrichment analysis showed that these DEPs were mainly associated with the cellular process such as cellular metabolic process, cellular response to stimulus, and cellular component organization or biogenesis, metabolic process, biological regulation, response to stimuli, localization, and signaling. Among the 347 identified DEPs, 64 proteins were commonly found in both HLCS knockdown clones, confirming their authenticity. Validation of some of these DEPs by Western blot analysis showed that plasminogen activator inhibitor type 2 (SerpinB2) and interstitial collagenase (MMP1) were approximately 90% decreased in HLCS knockdown cells, consistent with a 50%-60% decrease in invasion ability of knockdown cells. Notably, argininosuccinate synthase 1 (ASS1), one of the enzymes in the urea cycle, showed approximately a 10-fold increase in the knockdown cells, suggesting the crucial role of HLCS in supporting the urea cycle in the triple-negative cancer cell line. Collectively, our proteomic data provide biochemical insights into how suppression of HLCS expression perturbs global changes in cellular processes and metabolic pathways, impairing cell growth and invasion.
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Affiliation(s)
- Witchuda Sukjoi
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand
| | - Clifford Young
- Clinical and Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Mitchell Acland
- Adelaide Proteomics Centre, School of Biological Sciences, The University of Adelaide, Adelaide, SA, Australia
| | | | - Sittiruk Roytrakul
- Functional Proteomics Technology Laboratory, National Center for Genetic Engineering and Biotechnology, National Science and Technology Agency, Pathumthani, Thailand
| | | | - Peter Hoffmann
- Clinical and Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Sarawut Jitrapakdee
- Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok, Thailand
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Qian L, Li L, Li Y, Li S, Zhang B, Zhu Y, Yang B. LncRNA HOTAIR as a ceRNA is related to breast cancer risk and prognosis. Breast Cancer Res Treat 2023:10.1007/s10549-023-06982-4. [PMID: 37294527 DOI: 10.1007/s10549-023-06982-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 05/10/2023] [Indexed: 06/10/2023]
Abstract
PURPOSE Breast cancer (BC) is one of the biggest threats to women's health. LncRNA HOTAIR is related to the recurrence and metastasis of BC. Whether HOTAIR can serve as an effective biomarker to distinguish BC patients with different prognosis need to be further studied. METHODS The miRNA and mRNA expression profile data of BC patients were downloaded from TCGA database. Univariate Cox regression was used to screen differential expression genes (DEGs). The miRcode database and miRWalk database were used to predict miRNA binding to HOTAIR and binding sites of miRNAs, respectively. Kaplan-Meier (KM) analysis was used to estimate the overall survival rate of BC patients. Finally, qRT-PCR and western blot were applied to evaluate the expression level of HOTAIR and mRNAs between BC cells and normal mammary cells. RESULTS The patients with high HOTAIR expression had poor prognosis in BC. Totally 10 genes correlated with BC prognosis were identified from 170 DEGs, among which PAX7, IYD, ZIC2, MS4A1, TPRXL, CD24, LHX1 were positively correlated with HOTAIR, while CHAD, NPY1R, TPRG1 were opposite. The levels of IYD, ZIC2, CD24 mRNA and protein were increased in BC tissues and BC cells. In BC cells, the levels of IYD, ZIC2 and CD24 mRNA and protein were significantly increased in HOTAIR overexpressed group. HOTAIR had the strongest interaction with hsa-miR-129-5p, followed by hsa-miR-107. CONCLUSION HOTAIR regulated the expression of downstream genes by interacting with 8 miRNAs and ultimately affected the prognosis of BC patients.
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Affiliation(s)
- Liyu Qian
- Department of Surgical Oncology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Li Li
- Department of Breast and Thyroid Surgery, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China
| | - Yang Li
- Department of Cardiac Surgery, Xuanwu Hospital of Capital Medical University, Beijing, China
| | - Shen Li
- Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China
| | - Bo Zhang
- Department of Immunology, College of Basic Medical Sciences, Tianjin Medical University, No.22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
| | - Yu Zhu
- Department of Clinical Laboratory, Nankai University Affiliated Third Center Hospital, Nankai University, Tianjin, 300170, China.
- Department of Clinical Laboratory, Tianjin Third Center Hospital, 83 Jintang Road, Hedong District, Tianjin, 300170, China.
| | - Bing Yang
- Department of Cell Biology, College of Basic Medical Sciences, Tianjin Medical University, No.22 Qixiangtai Road, Heping District, Tianjin, 300070, China.
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Allegra A, Murdaca G, Mirabile G, Gangemi S. Redox Signaling Modulates Activity of Immune Checkpoint Inhibitors in Cancer Patients. Biomedicines 2023; 11:biomedicines11051325. [PMID: 37238995 DOI: 10.3390/biomedicines11051325] [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: 04/06/2023] [Revised: 04/23/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
Although immunotherapy is already a staple of cancer care, many patients may not benefit from these cutting-edge treatments. A crucial field of research now focuses on figuring out how to improve treatment efficacy and assess the resistance mechanisms underlying this uneven response. For a good response, immune-based treatments, in particular immune checkpoint inhibitors, rely on a strong infiltration of T cells into the tumour microenvironment. The severe metabolic environment that immune cells must endure can drastically reduce effector activity. These immune dysregulation-related tumour-mediated perturbations include oxidative stress, which can encourage lipid peroxidation, ER stress, and T regulatory cells dysfunction. In this review, we have made an effort to characterize the status of immunological checkpoints, the degree of oxidative stress, and the part that latter plays in determining the therapeutic impact of immunological check point inhibitors in different neoplastic diseases. In the second section of the review, we will make an effort to assess new therapeutic possibilities that, by affecting redox signalling, may modify the effectiveness of immunological treatment.
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Affiliation(s)
- Alessandro Allegra
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood "Gaetano Barresi", University of Messina, 98125 Messina, Italy
| | - Giuseppe Murdaca
- Department of Internal Medicine, Ospedale Policlinico San Martino IRCCS, University of Genova, Viale Benedetto XV, n. 6, 16132 Genova, Italy
| | - Giuseppe Mirabile
- Division of Hematology, Department of Human Pathology in Adulthood and Childhood "Gaetano Barresi", University of Messina, 98125 Messina, Italy
| | - Sebastiano Gangemi
- Allergy and Clinical Immunology Unit, Department of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy
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Li K, Zhu Y, Cheng J, Li A, Liu Y, Yang X, Huang H, Peng Z, Xu H. A novel lipid metabolism gene signature for clear cell renal cell carcinoma using integrated bioinformatics analysis. Front Cell Dev Biol 2023; 11:1078759. [PMID: 36866272 PMCID: PMC9971983 DOI: 10.3389/fcell.2023.1078759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 01/18/2023] [Indexed: 02/16/2023] Open
Abstract
Background: Clear cell renal cell carcinoma (ccRCC), which is the most prevalent type of renal cell carcinoma, has a high mortality rate. Lipid metabolism reprogramming is a hallmark of ccRCC progression, but its specific mechanism remains unclear. Here, the relationship between dysregulated lipid metabolism genes (LMGs) and ccRCC progression was investigated. Methods: The ccRCC transcriptome data and patients' clinical traits were obtained from several databases. A list of LMGs was selected, differentially expressed gene screening performed to detect differential LMGs, survival analysis performed, a prognostic model established, and immune landscape evaluated using the CIBERSORT algorithm. Gene Set Variation Analysis and Gene set enrichment analysis were conducted to explore the mechanism by which LMGs affect ccRCC progression. Single-cell RNA-sequencing data were obtained from relevant datasets. Immunohistochemistry and RT-PCR were used to validate the expression of prognostic LMGs. Results: Seventy-one differential LMGs were identified between ccRCC and control samples, and a novel risk score model established comprising 11 LMGs (ABCB4, DPEP1, IL4I1, ENO2, PLD4, CEL, HSD11B2, ACADSB, ELOVL2, LPA, and PIK3R6); this risk model could predict ccRCC survival. The high-risk group had worse prognoses and higher immune pathway activation and cancer development. Conclusion: Our results showed that this prognostic model can affect ccRCC progression.
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Affiliation(s)
- Ke Li
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China,Department of Urology, Xiangya Hospital, Central South University, Changsha, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Yan Zhu
- Foreign Languages Institute, China University of Geosciences Wuhan, Wuhan, China
| | - Jiawei Cheng
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China,Hunan Key Laboratory of Organ Fibrosis, Central South University, Changsha, China
| | - Anlei Li
- Department of Cell Biology, School of Life Sciences, Central South University, Changsha, China
| | - Yuxing Liu
- Department of Cell Biology, School of Life Sciences, Central South University, Changsha, China
| | - Xinyi Yang
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China,Hunan Key Laboratory of Organ Fibrosis, Central South University, Changsha, China
| | - Hao Huang
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China,Hunan Key Laboratory of Organ Fibrosis, Central South University, Changsha, China
| | - Zhangzhe Peng
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China,Hunan Key Laboratory of Organ Fibrosis, Central South University, Changsha, China,*Correspondence: Zhangzhe Peng, ; Hui Xu,
| | - Hui Xu
- Department of Nephrology, Xiangya Hospital, Central South University, Changsha, China,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China,Hunan Key Laboratory of Organ Fibrosis, Central South University, Changsha, China,*Correspondence: Zhangzhe Peng, ; Hui Xu,
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Alexander GM, Heiman-Patterson TD, Bearoff F, Sher RB, Hennessy L, Terek S, Caccavo N, Cox GA, Philip VM, Blankenhorn EA. Identification of quantitative trait loci for survival in the mutant dynactin p150Glued mouse model of motor neuron disease. PLoS One 2022; 17:e0274615. [PMID: 36107978 PMCID: PMC9477371 DOI: 10.1371/journal.pone.0274615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 09/01/2022] [Indexed: 11/19/2022] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is the most common degenerative motor neuron disorder. Although most cases of ALS are sporadic, 5-10% of cases are familial, with mutations associated with over 40 genes. There is variation of ALS symptoms within families carrying the same mutation; the disease may develop in one sibling and not in another despite the presence of the mutation in both. Although the cause of this phenotypic variation is unknown, it is likely related to genetic modifiers of disease expression. The identification of ALS causing genes has led to the development of transgenic mouse models of motor neuron disease. Similar to families with familial ALS, there are background-dependent differences in disease phenotype in transgenic mouse models of ALS suggesting that, as in human ALS, differences in phenotype may be ascribed to genetic modifiers. These genetic modifiers may not cause ALS rather their expression either exacerbates or ameliorates the effect of the mutant ALS causing genes. We have reported that in both the G93A-hSOD1 and G59S-hDCTN1 mouse models, SJL mice demonstrated a more severe phenotype than C57BL6 mice. From reciprocal intercrosses between G93A-hSOD1 transgenic mice on SJL and C57BL6 strains, we identified a major quantitative trait locus (QTL) on mouse chromosome 17 that results in a significant shift in lifespan. In this study we generated reciprocal intercrosses between transgenic G59S-hDCTN1 mice on SJL and C57BL6 strains and identified survival QTLs on mouse chromosomes 17 and 18. The chromosome 17 survival QTL on G93A-hSOD1 and G59S-hDCTN1 mice partly overlap, suggesting that the genetic modifiers located in this region may be shared by these two ALS models despite the fact that motor neuron degeneration is caused by mutations in different proteins. The overlapping region contains eighty-seven genes with non-synonymous variations predicted to be deleterious and/or damaging. Two genes in this segment, NOTCH3 and Safb/SAFB1, have been associated with motor neuron disease. The identification of genetic modifiers of motor neuron disease, especially those modifiers that are shared by SOD1 and dynactin-1 transgenic mice, may result in the identification of novel targets for therapies that can alter the course of this devastating illness.
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Affiliation(s)
| | - Terry D. Heiman-Patterson
- Department of Neurology, Lewis Katz School of Medicine of Temple University, Philadelphia, Pennsylvania, United States of America
| | - Frank Bearoff
- Department of Microbiology Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America
| | - Roger B. Sher
- Department of Neurobiology and Behavior, Stony Brook University, Stony Brook, New York, United States of America
| | - Laura Hennessy
- The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Shannon Terek
- The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America
| | - Nicole Caccavo
- Department of Neurology, Lewis Katz School of Medicine of Temple University, Philadelphia, Pennsylvania, United States of America
| | - Gregory A. Cox
- The Jackson Laboratory, Bar Harbor, Maine, United States of America
| | - Vivek M. Philip
- The Jackson Laboratory, Bar Harbor, Maine, United States of America
| | - Elizabeth A. Blankenhorn
- Department of Microbiology Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America
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Cheng X, Deng W, Zhang Z, Zeng Z, Liu Y, Zhou X, Zhang C, Wang G. Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma. Front Genet 2022; 13:982162. [PMID: 36118874 PMCID: PMC9478740 DOI: 10.3389/fgene.2022.982162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Amino acid metabolism (AAM) deregulation, an emerging metabolic hallmark of malignancy, plays an essential role in tumour proliferation, invasion, and metastasis. However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. This study aims to develop a novel consensus signature based on the AAM-related genes. Methods: The RNA-seq expression data and clinical information for ccRCC were downloaded from the TCGA (KIRC as training dataset) and ArrayExpress (E-MTAB-1980 as validation dataset) databases. The AAM‐related differentially expressed genes were screened via the “limma” package in TCGA cohorts for further analysis. The machine learning algorithms (Lasso and stepwise Cox (direction = both)) were then utilised to establish a novel consensus signature in TCGA cohorts, which was validated by the E-MTAB-1980 cohorts. The optimal cutoff value determined by the “survminer” package was used to categorise patients into two risk categories. The Kaplan-Meier curve, the receiver operating characteristic (ROC) curve, and multivariate Cox regression were utilised to evaluate the prognostic value. The nomogram based on the gene signature was constructed, and its performance was analysed using ROC and calibration curves. Gene Set Enrichment Analysis (GSEA) and immune cell infiltration analysis were conducted on its potential mechanisms. The relationship between the gene signature and key immune checkpoint, N6-methyladenosine (m6A)-related genes, and sensitivity to chemotherapy was assessed. Results: A novel consensus AMM‐related gene signature consisting of IYD, NNMT, ACADSB, GLDC, and PSAT1 is developed to predict prognosis in TCGA cohorts. Kaplan-Meier survival shows that overall survival in the high-risk group was more dismal than in the low-risk group in the TCGA cohort, validated by the E-MTAB-1980 cohort. Multivariate regression analysis also demonstrates that the gene signature is an independent predictor of ccRCC. Immune infiltration analysis highlighted that the high-risk group indicates an immunosuppressive microenvironment. It is also closely related to the level of key immune checkpoints, m6A modification, and sensitivity to chemotherapy drugs. Conclusion: In this study, a novel consensus AAM-related gene signature is developed and validated as an independent predictor to robustly predict the overall survival from ccRCC, which would further improve the clinical outcomes.
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Affiliation(s)
- Xiaofeng Cheng
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Institute of Urology, Nanchang, China
| | - Wen Deng
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Institute of Urology, Nanchang, China
| | - Zhicheng Zhang
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Institute of Urology, Nanchang, China
| | - Zhenhao Zeng
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Institute of Urology, Nanchang, China
| | - Yifu Liu
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Institute of Urology, Nanchang, China
| | - Xiaochen Zhou
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Institute of Urology, Nanchang, China
| | - Cheng Zhang
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Institute of Urology, Nanchang, China
| | - Gongxian Wang
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, China
- Jiangxi Institute of Urology, Nanchang, China
- *Correspondence: Gongxian Wang,
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Xie L, Wu S, He R, Li S, Lai X, Wang Z. Identification of epigenetic dysregulation gene markers and immune landscape in kidney renal clear cell carcinoma by comprehensive genomic analysis. Front Immunol 2022; 13:901662. [PMID: 36059531 PMCID: PMC9433776 DOI: 10.3389/fimmu.2022.901662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 07/28/2022] [Indexed: 12/24/2022] Open
Abstract
Kidney cancer is one the most lethal cancers of the urinary system, but current treatments are limited and its prognosis is poor. This study focused on kidney renal clear cell carcinoma (KIRC) and analyzed the relationship between epigenetic alterations and KIRC prognosis, and explored the prognostic significance of these findings in KIRC patients. Based on multi-omics data, differentially expressed histone-modified genes were identified using the R package limma package. Gene enhancers were detected from data in the FANTOM5 database. Gene promoters were screened using the R package ChIPseeker, and the Bumphunter in the R package CHAMP was applied to screen differentially methylated regions (DMR). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and Gene Ontology (GO) functional enrichment analysis of genes was performed using the R package clusterProfiler. We identified 51 dysregulated epigenetic protein coding genes (epi-PCGs) from 872 epi-PCGs, and categorized three molecular subtypes (C1, C2, and C3) of KIRC samples with significantly different prognosis. Notably, among the three molecular subtypes, we found a markedly differential immune features in immune checkpoints, cytokines, immune signatures, and immune cell distribution. C2 subtype had significantly lower enrichment score of IFNγ, cytotoxic score (CYT), and angiogenesis. In addition, an 8-gene signature containing 8 epi-PCGs (ETV4, SH2B3, FATE1, GRK5, MALL, HRH2, SEMA3G, and SLC10A6) was developed for predicting KIRC prognosis. Prognosis of patients with a high 8-gene signature score was significantly worse than those with a low 8-gene signature score, which was also validated by the independent validation data. The 8-gene signature had a better performance compared with previous signatures of KIRC. Overall, this study highlighted the important role of epigenetic regulation in KIRC development, and explored prognostic epi-PCGs, which may provide a guidance for exploiting further pathological mechanisms of KIRC and for developing novel drug targets.
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Affiliation(s)
- Linli Xie
- Department of Pharmacy, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Shuang Wu
- Department of Oncology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Rong He
- Department of Pharmacy, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Sisi Li
- Institute of Pathology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiaodan Lai
- Department of Pharmacy, No. 958 Hospital of Chinese People's Liberation Army (PLA), Chongqing, China
- *Correspondence: Xiaodan Lai, ; Zhe Wang,
| | - Zhe Wang
- Department of Oncology and Southwest Cancer Center, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
- *Correspondence: Xiaodan Lai, ; Zhe Wang,
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10
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Greene CJ, Attwood K, Sharma NJ, Balderman B, Deng R, Muhitch JB, Smith GJ, Gross KW, Xu B, Kauffman EC. Iron accumulation typifies renal cell carcinoma tumorigenesis but abates with pathological progression, sarcomatoid dedifferentiation, and metastasis. Front Oncol 2022; 12:923043. [PMID: 35992801 PMCID: PMC9389085 DOI: 10.3389/fonc.2022.923043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 06/29/2022] [Indexed: 11/13/2022] Open
Abstract
Iron is a potent catalyst of oxidative stress and cellular proliferation implicated in renal cell carcinoma (RCC) tumorigenesis, yet it also drives ferroptosis that suppresses cancer progression and represents a novel therapeutic target for advanced RCC. The von Hippel Lindau (VHL)/hypoxia-inducible factor-α (HIF-α) axis is a major regulator of cellular iron, and its inactivation underlying most clear cell (cc) RCC tumors introduces both iron dependency and ferroptosis susceptibility. Despite the central role for iron in VHL/HIF-α signaling and ferroptosis, RCC iron levels and their dynamics during RCC initiation/progression are poorly defined. Here, we conducted a large-scale investigation into the incidence and prognostic significance of total tissue iron in ccRCC and non-ccRCC patient primary tumor cancer cells, tumor microenvironment (TME), metastases and non-neoplastic kidneys. Prussian Blue staining was performed to detect non-heme iron accumulation in over 1600 needle-core sections across multiple tissue microarrays. We found that RCC had significantly higher iron staining scores compared with other solid cancers and, on average, >40 times higher than adjacent renal epithelium. RCC cell iron levels correlated positively with TME iron levels and inversely with RCC levels of the main iron uptake protein, transferrin receptor 1 (TfR1/TFRC/CD71). Intriguingly, RCC iron levels, including in the TME, decreased significantly with pathologic (size/stage/grade) progression, sarcomatoid dedifferentiation, and metastasis, particularly among patients with ccRCC, despite increasing TfR1 levels, consistent with an increasingly iron-deficient tumor state. Opposite to tumor iron changes, adjacent renal epithelial iron increased significantly with RCC/ccRCC progression, sarcomatoid dedifferentiation, and metastasis. Lower tumor iron and higher renal epithelial iron each predicted significantly shorter ccRCC patient metastasis-free survival. In conclusion, iron accumulation typifies RCC tumors but declines toward a relative iron-deficient tumor state during progression to metastasis, despite precisely opposite dynamics in adjacent renal epithelium. These findings raise questions regarding the historically presumed selective advantage for high iron during all phases of cancer evolution, suggesting instead distinct tissue-specific roles during RCC carcinogenesis and early tumorigenesis versus later progression. Future study is warranted to determine how the relative iron deficiency of advanced RCC contributes to ferroptosis resistance and/or introduces a heightened susceptibility to iron deprivation that might be therapeutically exploitable.
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Affiliation(s)
- Christopher J. Greene
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
- Department of Biological Sciences, University at Buffalo, Buffalo, NY, United States
| | - Kristopher Attwood
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Nitika J. Sharma
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Benjamin Balderman
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Rongia Deng
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Jason B. Muhitch
- Department of Immunology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Gary J. Smith
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Kenneth W. Gross
- Department of Molecular and Cellular Biology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Bo Xu
- Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
| | - Eric C. Kauffman
- Department of Urology, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
- Department of Cancer Genetics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States
- *Correspondence: Eric C. Kauffman,
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11
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Zhang J, Li Y, Zou J, Lai CT, Zeng T, Peng J, Zou WD, Cao B, Liu D, Zhu LY, Li H, Li YK. Comprehensive analysis of the glutathione S-transferase Mu (GSTM) gene family in ovarian cancer identifies prognostic and expression significance. Front Oncol 2022; 12:968547. [PMID: 35965498 PMCID: PMC9366399 DOI: 10.3389/fonc.2022.968547] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 07/04/2022] [Indexed: 12/11/2022] Open
Abstract
Background Ovarian cancer (OC) is one of the most common types of gynecologic tumor over the world. The Glutathione S-transferase Mu (GSTM) has five members, including GSTM1-5. These GSTMs is involved in cell metabolism and detoxification, but their role in OC remains unknown. Methods Data from multiple public databases associated with OC and GSTMs were collected. Expression, prognosis, function enrichment, immune infiltration, stemness index, and drug sensitivity analysis was utilized to identify the roles of GSTMs in OC progression. RT-qPCR analysis confirmed the effect of AICAR, AT-7519, PHA-793887 and PI-103 on the mRNA levels of GSTM3/4. Results GSTM1-5 were decreased in OC samples compared to normal ovary samples. GSTM1/5 were positively correlated with OC prognosis, but GSTM3 was negatively correlated with OC prognosis. Function enrichment analysis indicated GSTMs were involved in glutathione metabolism, drug metabolism, and drug resistance. Immune infiltration analysis indicated GSTM2/3/4 promoted immune escape in OC. GSTM5 was significantly correlated with OC stemness index. GSTM3/4 were remarkedly associated with OC chemoresistance, especially in AICAR, AT-7519, PHA-793887 and PI-103. Conclusion GSTM3 was negatively correlated with OC prognosis, and associated with OC chemoresistance and immune escape. This gene may serve as potential prognostic biomarkers and therapeutic target for OC patients.
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Affiliation(s)
- Juan Zhang
- Department of Assisted Reproductive Centre, Zhuzhou central hospital, Xiangya hospital Zhuzhou central south university, Central south university, Zhuzhou, China
| | - Yan Li
- Department of Assisted Reproductive Centre, Zhuzhou central hospital, Xiangya hospital Zhuzhou central south university, Central south university, Zhuzhou, China
| | - Juan Zou
- Hunan Province Key Laboratory of Tumor Cellular and Molecular Pathology, Cancer Research Institute, University of South China, Hengyang, China
| | - Chun-tian Lai
- Department of Assisted Reproductive Centre, Zhuzhou central hospital, Xiangya hospital Zhuzhou central south university, Central south university, Zhuzhou, China
| | - Tian Zeng
- Hunan Province Key Laboratory of Tumor Cellular and Molecular Pathology, Cancer Research Institute, University of South China, Hengyang, China
| | - Juan Peng
- Department of Assisted Reproductive Centre, Zhuzhou central hospital, Xiangya hospital Zhuzhou central south university, Central south university, Zhuzhou, China
| | - Wen-da Zou
- Department of Assisted Reproductive Centre, Zhuzhou central hospital, Xiangya hospital Zhuzhou central south university, Central south university, Zhuzhou, China
| | - Bei Cao
- Department of Assisted Reproductive Centre, Zhuzhou central hospital, Xiangya hospital Zhuzhou central south university, Central south university, Zhuzhou, China
| | - Dan Liu
- Department of Assisted Reproductive Centre, Zhuzhou central hospital, Xiangya hospital Zhuzhou central south university, Central south university, Zhuzhou, China
| | - Li-yu Zhu
- Department of Assisted Reproductive Centre, Zhuzhou central hospital, Xiangya hospital Zhuzhou central south university, Central south university, Zhuzhou, China
| | - Hui Li
- Department of Assisted Reproductive Centre, Zhuzhou central hospital, Xiangya hospital Zhuzhou central south university, Central south university, Zhuzhou, China
- *Correspondence: Hui Li, ; Yu-kun Li,
| | - Yu-kun Li
- Department of Assisted Reproductive Centre, Zhuzhou central hospital, Xiangya hospital Zhuzhou central south university, Central south university, Zhuzhou, China
- Hunan Province Key Laboratory of Tumor Cellular and Molecular Pathology, Cancer Research Institute, University of South China, Hengyang, China
- *Correspondence: Hui Li, ; Yu-kun Li,
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12
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Interferon-alpha2 treatment of patients with polycythemia vera and related neoplasms favorably impacts deregulation of oxidative stress genes and antioxidative defense mechanisms. PLoS One 2022; 17:e0270669. [PMID: 35771847 PMCID: PMC9246201 DOI: 10.1371/journal.pone.0270669] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 06/14/2022] [Indexed: 12/11/2022] Open
Abstract
Chronic inflammation is considered a major driving force for clonal expansion and evolution in the Philadelphia-negative myeloproliferative neoplasms, which include essential thrombocythemia, polycythemia vera and primary myelofibrosis (MPNs). One of the key mutation drivers is the JAK2V617F mutation, which has been shown to induce the generation of reactive oxygen species (ROS). Using whole blood gene expression profiling, deregulation of several oxidative stress and anti-oxidative defense genes has been identified in MPNs, including significant downregulation of TP53, the NFE2L2 or NRF2 genes. These genes have a major role for maintaining genomic stability, regulation of the oxidative stress response and in modulating migration or retention of hematopoietic stem cells. Therefore, their deregulation might give rise to increasing genomic instability, increased chronic inflammation and disease progression with egress of hematopoietic stem cells from the bone marrow to seed in the spleen, liver and elsewhere. Interferon-alpha2 (rIFNα) is increasingly being recognized as the drug of choice for the treatment of patients with MPNs. Herein, we report the first gene expression profiling study on the impact of rIFNα upon oxidative stress and antioxidative defense genes in patients with MPNs (n = 33), showing that rIFNα downregulates several upregulated oxidative stress genes and upregulates downregulated antioxidative defense genes. Treatment with rIFNα induced upregulation of 19 genes in ET and 29 genes in PV including CXCR4 and TP53. In conclusion, this rIFNα- mediated dampening of genotoxic damage to hematopoietic cells may ultimately diminish the risk of additional mutations and accordingly clonal evolution and disease progression towards myelofibrotic and leukemic transformation.
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Ren X, Cui H, Wu J, Zhou R, Wang N, Liu D, Xie X, Zhang H, Liu D, Ma X, Dang C, Kang H, Lin S. Identification of a combined apoptosis and hypoxia gene signature for predicting prognosis and immune infiltration in breast cancer. Cancer Med 2022; 11:3886-3901. [PMID: 35441810 PMCID: PMC9582692 DOI: 10.1002/cam4.4755] [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: 12/18/2021] [Revised: 03/11/2022] [Accepted: 04/01/2022] [Indexed: 11/26/2022] Open
Abstract
Background Breast cancer (BC) is the most common malignant tumor worldwide. Apoptosis and hypoxia are involved in the progression of BC, but reliable biomarkers for these have not been developed. We hope to explore a gene signature that combined apoptosis and hypoxia‐related genes (AHGs) to predict BC prognosis and immune infiltration. Methods We collected the mRNA expression profiles and clinical data information of BC patients from The Cancer Genome Atlas database. The gene signature based on AHGs was constructed using the univariate Cox regression, least absolute shrinkage and selection operator, and multivariate Cox regression analysis. The associations between risk scores, immune infiltration, and immune checkpoint gene expression were studied using single‐sample gene set enrichment analysis. Besides, gene signature and independent clinicopathological characteristics were combined to establish a nomogram. Finally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed on the potential functions of AHGs. Results We identified a 16‐AHG signature (AGPAT1, BTBD6, EIF4EBP1, ERRFI1, FAM114A1, GRIP1, IRF2, JAK1, MAP2K6, MCTS1, NFKBIA, NFKBIZ, NUP43, PGK1, RCL1, and SGCE) that could independently predict BC prognosis. The median score of the risk model divided the patients into two subgroups. By contrast, patients in the high‐risk group had poorer prognosis, less abundance of immune cell infiltration, and expression of immune checkpoint genes. The gene signature and nomogram had good predictive effects on the overall survival of BC patients. GO and KEGG analyses revealed that the differential expression of AHGs may be closely related to tumor immunity. Conclusion We established and verified a 16‐AHG BC signature which may help predict prognosis, assess potential immunotherapy benefits, and provide inspiration for future research on the functions and mechanisms of AHGs in BC.
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Affiliation(s)
- Xueting Ren
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Hanxiao Cui
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Jianhua Wu
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Ruina Zhou
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Nan Wang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Dandan Liu
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xin Xie
- Department of Surgical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Hao Zhang
- Department of Surgical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Di Liu
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Xiaobin Ma
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Chengxue Dang
- Department of Surgical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Huafeng Kang
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Shuai Lin
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China
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14
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A web-based calculator for predicting the prognosis of patients with sarcoma on the basis of antioxidant gene signatures. Aging (Albany NY) 2022; 14:1407-1428. [PMID: 35143416 PMCID: PMC8876918 DOI: 10.18632/aging.203885] [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: 09/30/2021] [Accepted: 01/25/2022] [Indexed: 11/25/2022]
Abstract
Background: Oxidative stress plays a critical role in tumorigenesis, tumor development, and resistance to therapy. A systematic analysis of the interactions between antioxidant gene expression and the prognosis of patients with sarcoma is lacking but urgently needed. Methods: Gene expression and clinical data of patients with sarcoma were derived from The Cancer Genome Atlas Sarcoma (training cohort) and Gene Expression Omnibus (validation cohorts) databases. Least absolute shrinkage, selection operator regression, and Cox regression were used to develop prognostic signatures for overall survival (OS) and disease-free survival (DFS). Based on the signatures and clinical features, two nomograms for predicting 2-, 4-, and 6-year OS and DFS were established. Results: On the basis of the training cohort, we identified five-gene (CHAC2, GPX5, GSTK1, PXDN, and S100A9) and six-gene (GGTLC2, GLO1, GPX7, GSTK1, GSTM5, and IPCEF1) signatures for predicting OS and DFS, respectively, in patients with sarcoma. Kaplan–Meier survival analysis of the training and validation cohorts revealed that patients in the high-risk group had a significantly poorer prognosis than those in the low-risk group. On the basis of the signatures and other independent risk factors, we established two models for predicting OS and DFS that showed excellent calibration and discrimination. For the convenience of clinical application, we built web-based calculators (OS: https://quankun.shinyapps.io/sarcOS/; DFS: https://quankun.shinyapps.io/sarcDFS/). Conclusions: The antioxidant gene signature models established in this study can be novel prognostic predictors for sarcoma.
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