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Boamah GA, Huang Z, Ke C, You W, Ayisi CL, Amenyogbe E, Droepenu E. Preliminary analysis of pathways and their implications during salinity stress in abalone. COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY. PART D, GENOMICS & PROTEOMICS 2024; 50:101224. [PMID: 38430709 DOI: 10.1016/j.cbd.2024.101224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 02/21/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024]
Abstract
Transcriptome sequencing has offered immense opportunities to study non-model organisms. Abalone is an important marine mollusk that encounters harsh environmental conditions in its natural habitat and under aquaculture conditions; hence, research that increases molecular information to understand abalone physiology and stress response is noteworthy. Accordingly, the study used transcriptome sequencing of the gill tissues of abalone exposed to low salinity stress. The aim is to explore some enriched pathways during salinity stress and the crosstalk and functions of the genes involved in the candidate biological processes for future further analysis of their expression patterns. The data suggest that abalone genes such as YAP/TAZ, Myc, Nkd, and Axin (involved in the Hippo signaling pathway) and PI3K/Akt, SHC, and RTK (involved in the Ras signaling pathways) might mediate growth and development. Thus, deregulation of the Hippo and Ras pathways by salinity stress could be a possible mechanism by which unfavorable salinities influence growth in abalone. Furthermore, PEPCK, GYS, and PLC genes (mediating the Glucagon signaling pathway) might be necessary for glucose homeostasis, reproduction, and abalone meat sensory qualities; hence, a need to investigate how they might be influenced by environmental stress. Genes such as MYD88, IRAK1/4, JNK, AP-1, and TRAF6 (mediating the MAPK signaling pathway) could be useful in understanding abalone's innate immune response to environmental stresses. Finally, the aminoacyl-tRNA biosynthesis pathway hints at the mechanism by which new raw materials for protein biosynthesis are mobilized for physiological processes and how abalone might respond to this process during salinity stress. Low salinity clearly regulated genes in these pathways in a time-dependent manner, as hinted by the heat maps. In the future, qRT-PCR verification and in-depth study of the various genes and proteins discussed would provide enormous molecular information resources for the abalone biology.
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Affiliation(s)
- Grace Afumwaa Boamah
- Department of Water Resources and Aquaculture Management, University of Environment and Sustainable Development, PMB, Somanya, Ghana.
| | - Zekun Huang
- College of the Environment and Ecology, Xiamen University, Xiamen 361102, PR China
| | - Caihuan Ke
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361102, PR China
| | - Weiwei You
- State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361102, PR China
| | - Christian Larbi Ayisi
- Department of Water Resources and Aquaculture Management, University of Environment and Sustainable Development, PMB, Somanya, Ghana
| | - Eric Amenyogbe
- Department of Water Resources and Aquaculture Management, University of Environment and Sustainable Development, PMB, Somanya, Ghana
| | - Eric Droepenu
- Department of Water Resources and Aquaculture Management, University of Environment and Sustainable Development, PMB, Somanya, Ghana
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2
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Vieira FG, Bispo R, Lopes MB. Integration of Multi-Omics Data for the Classification of Glioma Types and Identification of Novel Biomarkers. Bioinform Biol Insights 2024; 18:11779322241249563. [PMID: 38812741 PMCID: PMC11135104 DOI: 10.1177/11779322241249563] [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: 07/29/2023] [Accepted: 04/09/2024] [Indexed: 05/31/2024] Open
Abstract
Glioma is currently one of the most prevalent types of primary brain cancer. Given its high level of heterogeneity along with the complex biological molecular markers, many efforts have been made to accurately classify the type of glioma in each patient, which, in turn, is critical to improve early diagnosis and increase survival. Nonetheless, as a result of the fast-growing technological advances in high-throughput sequencing and evolving molecular understanding of glioma biology, its classification has been recently subject to significant alterations. In this study, we integrate multiple glioma omics modalities (including mRNA, DNA methylation, and miRNA) from The Cancer Genome Atlas (TCGA), while using the revised glioma reclassified labels, with a supervised method based on sparse canonical correlation analysis (DIABLO) to discriminate between glioma types. We were able to find a set of highly correlated features distinguishing glioblastoma from lower-grade gliomas (LGGs) that were mainly associated with the disruption of receptor tyrosine kinases signaling pathways and extracellular matrix organization and remodeling. Concurrently, the discrimination of the LGG types was characterized primarily by features involved in ubiquitination and DNA transcription processes. Furthermore, we could identify several novel glioma biomarkers likely helpful in both diagnosis and prognosis of the patients, including the genes PPP1R8, GPBP1L1, KIAA1614, C14orf23, CCDC77, BVES, EXD3, CD300A, and HEPN1. Collectively, this comprehensive approach not only allowed a highly accurate discrimination of the different TCGA glioma patients but also presented a step forward in advancing our comprehension of the underlying molecular mechanisms driving glioma heterogeneity. Ultimately, our study also revealed novel candidate biomarkers that might constitute potential therapeutic targets, marking a significant stride toward personalized and more effective treatment strategies for patients with glioma.
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Affiliation(s)
- Francisca G Vieira
- Center for Mathematics and Applications (NOVA Math), NOVA School of Science and Technology, Caparica, Portugal
| | - Regina Bispo
- Center for Mathematics and Applications (NOVA Math), NOVA School of Science and Technology, Caparica, Portugal
- Department of Mathematics, NOVA School of Science and Technology, Caparica, Portugal
| | - Marta B Lopes
- Center for Mathematics and Applications (NOVA Math), NOVA School of Science and Technology, Caparica, Portugal
- Department of Mathematics, NOVA School of Science and Technology, Caparica, Portugal
- UNIDEMI, Department of Mechanical and Industrial Engineering, NOVA School of Science and Technology, Caparica, Portugal
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3
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Ko E, Kim Y, Shokoohi F, Mersha TB, Kang M. SPIN: sex-specific and pathway-based interpretable neural network for sexual dimorphism analysis. Brief Bioinform 2024; 25:bbae239. [PMID: 38807262 PMCID: PMC11133003 DOI: 10.1093/bib/bbae239] [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: 12/17/2023] [Revised: 03/29/2024] [Accepted: 04/26/2024] [Indexed: 05/30/2024] Open
Abstract
Sexual dimorphism in prevalence, severity and genetic susceptibility exists for most common diseases. However, most genetic and clinical outcome studies are designed in sex-combined framework considering sex as a covariate. Few sex-specific studies have analyzed males and females separately, which failed to identify gene-by-sex interaction. Here, we propose a novel unified biologically interpretable deep learning-based framework (named SPIN) for sexual dimorphism analysis. We demonstrate that SPIN significantly improved the C-index up to 23.6% in TCGA cancer datasets, and it was further validated using asthma datasets. In addition, SPIN identifies sex-specific and -shared risk loci that are often missed in previous sex-combined/-separate analysis. We also show that SPIN is interpretable for explaining how biological pathways contribute to sexual dimorphism and improve risk prediction in an individual level, which can result in the development of precision medicine tailored to a specific individual's characteristics.
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Affiliation(s)
- Euiseong Ko
- Department of Computer Science, University of Nevada, Las Vegas, Las Vegas, NV, USA
| | - Youngsoon Kim
- Department of Information and Statistics and Department of Bio&Medical Bigdata (BK21 Four program), Gyeongsang National University, Jinju, Republic of Korea
| | - Farhad Shokoohi
- Department of Mathematical Sciences, University of Nevada, Las Vegas, Las Vegas, NV, USA
| | - Tesfaye B Mersha
- Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, OH, USA
| | - Mingon Kang
- Department of Computer Science, University of Nevada, Las Vegas, Las Vegas, NV, USA
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Visvanathan R, Utsuki T, Beck DE, Clayton WB, Lendy E, Sun KL, Liu Y, Hering KW, Mesecar A, Zhang ZY, Putt KS. A novel micellular fluorogenic substrate for quantitating the activity of 1-phosphatidylinositol 4,5-bisphosphate phosphodiesterase gamma (PLCγ) enzymes. PLoS One 2024; 19:e0299541. [PMID: 38551930 PMCID: PMC10980208 DOI: 10.1371/journal.pone.0299541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Accepted: 02/12/2024] [Indexed: 04/01/2024] Open
Abstract
The activities of the phospholipase C gamma (PLCγ) 1 and 2 enzymes are essential for numerous cellular processes. Unsurprisingly, dysregulation of PLCγ1 or PLCγ2 activity is associated with multiple maladies including immune disorders, cancers, and neurodegenerative diseases. Therefore, the modulation of either of these two enzymes has been suggested as a therapeutic strategy to combat these diseases. To aid in the discovery of PLCγ family enzyme modulators that could be developed into therapeutic agents, we have synthesized a high-throughput screening-amenable micellular fluorogenic substrate called C16CF3-coumarin. Herein, the ability of PLCγ1 and PLCγ2 to enzymatically process C16CF3-coumarin was confirmed, the micellular assay conditions were optimized, and the kinetics of the reaction were determined. A proof-of-principle pilot screen of the Library of Pharmacologically Active Compounds 1280 (LOPAC1280) was performed. This new substrate allows for an additional screening methodology to identify modulators of the PLCγ family of enzymes.
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Affiliation(s)
- Ramya Visvanathan
- Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States of America
- IUSM-Purdue TREAT-AD Center, West Lafayette, IN, United States of America
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, United States of America
| | - Tadanobu Utsuki
- Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States of America
- IUSM-Purdue TREAT-AD Center, West Lafayette, IN, United States of America
| | - Daniel E. Beck
- Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States of America
- IUSM-Purdue TREAT-AD Center, West Lafayette, IN, United States of America
| | - W. Brent Clayton
- IUSM-Purdue TREAT-AD Center, West Lafayette, IN, United States of America
- Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Emma Lendy
- IUSM-Purdue TREAT-AD Center, West Lafayette, IN, United States of America
- Department of Biochemistry, Purdue University, West Lafayette, IN, United States of America
| | - Kuai-lin Sun
- Cayman Chemical Company, Ann Arbor, MI, United States of America
| | - Yinghui Liu
- Cayman Chemical Company, Ann Arbor, MI, United States of America
| | - Kirk W. Hering
- Cayman Chemical Company, Ann Arbor, MI, United States of America
| | - Andrew Mesecar
- IUSM-Purdue TREAT-AD Center, West Lafayette, IN, United States of America
- Department of Biochemistry, Purdue University, West Lafayette, IN, United States of America
| | - Zhong-Yin Zhang
- Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States of America
- IUSM-Purdue TREAT-AD Center, West Lafayette, IN, United States of America
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, United States of America
| | - Karson S. Putt
- Institute for Drug Discovery, Purdue University, West Lafayette, IN, United States of America
- IUSM-Purdue TREAT-AD Center, West Lafayette, IN, United States of America
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Yan H, Weng D, Li D, Gu Y, Ma W, Liu Q. Prior knowledge-guided multilevel graph neural network for tumor risk prediction and interpretation via multi-omics data integration. Brief Bioinform 2024; 25:bbae184. [PMID: 38670157 PMCID: PMC11052635 DOI: 10.1093/bib/bbae184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/11/2024] [Accepted: 04/06/2024] [Indexed: 04/28/2024] Open
Abstract
The interrelation and complementary nature of multi-omics data can provide valuable insights into the intricate molecular mechanisms underlying diseases. However, challenges such as limited sample size, high data dimensionality and differences in omics modalities pose significant obstacles to fully harnessing the potential of these data. The prior knowledge such as gene regulatory network and pathway information harbors useful gene-gene interaction and gene functional module information. To effectively integrate multi-omics data and make full use of the prior knowledge, here, we propose a Multilevel-graph neural network (GNN): a hierarchically designed deep learning algorithm that sequentially leverages multi-omics data, gene regulatory networks and pathway information to extract features and enhance accuracy in predicting survival risk. Our method achieved better accuracy compared with existing methods. Furthermore, key factors nonlinearly associated with the tumor pathogenesis are prioritized by employing two interpretation algorithms (i.e. GNN-Explainer and IGscore) for neural networks, at gene and pathway level, respectively. The top genes and pathways exhibit strong associations with disease in survival analyses, many of which such as SEC61G and CYP27B1 are previously reported in the literature.
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Affiliation(s)
- Hongxi Yan
- Department of Computer Science, Beihang University, XueYuan Road, 100191, BeiJing, China
| | - Dawei Weng
- School of Biomedical Engineering, Capital Medical University, 10 You An Men WaiXi Tou Tiao, 100069, Beijing, China
| | - Dongguo Li
- School of Biomedical Engineering, Capital Medical University, 10 You An Men WaiXi Tou Tiao, 100069, Beijing, China
| | - Yu Gu
- School of Biomedical Engineering, Capital Medical University, 10 You An Men WaiXi Tou Tiao, 100069, Beijing, China
| | - Wenji Ma
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, 227 South Chongqing Road, 200025, Shanghai, China
| | - Qingjie Liu
- Department of Computer Science, Beihang University, XueYuan Road, 100191, BeiJing, China
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Sun R, Shao X, Akter F, Zahid KR, Yao S, Ma L, Xu G. PRIM2: A Marker of MYC-driven Hyper-proliferation, Disease Progression, Tumor Aggressiveness and Poor Survival in Glioma Patients. Cancer Genomics Proteomics 2024; 21:186-202. [PMID: 38423596 PMCID: PMC10905270 DOI: 10.21873/cgp.20440] [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: 10/28/2023] [Revised: 12/15/2023] [Accepted: 12/18/2023] [Indexed: 03/02/2024] Open
Abstract
BACKGROUND/AIM Gliomas are the most prevalent brain tumors with metabolic alterations playing a pivotal role in disease progression. However, the precise coordination of metabolic alterations with tumor-promoting cellular mechanisms, leading to tumor initiation, progression, and aggressiveness, resulting in poor outcomes, remains poorly understood in gliomas. MATERIALS AND METHODS We conducted a metabolism-targeted differential gene expression analysis using glioma patients' expression profiling data from The Cancer Genome Atlas (TCGA) database. In addition, pathway enrichment analysis, gene set enrichment analysis (GSEA), transcription factor prediction, network construction, and correlation analyses were performed. Survival analyses were performed in R. All results were validated using independent GEO expression datasets. RESULTS Metabolism-targeted analysis identified 5 hits involved in diverse metabolic processes linking them to disease aggressiveness in gliomas. Subsequently, we established that cell cycle progression and hyper-proliferation are key drivers of tumor progression and aggressiveness in gliomas. One of the identified metabolic hits, DNA primase 2 (PRIM2), a gene involved in DNA replication was found directly associated with cell cycle progression in gliomas. Furthermore, our analysis indicated that PRIM2, along with other cell cycle-related genes, is under the control of and regulated by the oncogenic MYC transcription factor in gliomas. In addition, PRIM2 expression alone is enough to predict MYC-driven cell cycle progression and is associated with tumor progression, aggressive disease state, and poor survival in glioma patients. CONCLUSION Our findings highlight PRIM2 as a marker of MYC-driven cell cycle progression and hyper-proliferation, disease onset and progression, tumor aggressiveness, and poor survival in glioma patients.
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Affiliation(s)
- Ronghui Sun
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, P.R. China
- Department of Neurosurgery, The General Hospital of Chinese PLA Central Theater Command, Wuhan, P.R. China
| | - Xiaodong Shao
- Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Farhana Akter
- Faculty of Arts and Sciences, Harvard University, Cambridge, MA, U.S.A
| | - Kashif Rafiq Zahid
- Department of Pathology, University of Alabama at Birmingham, Birmingham, AL, U.S.A
| | - Shun Yao
- Department of Neurosurgery, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, P.R. China
| | - Lianting Ma
- Department of Neurosurgery, The General Hospital of Chinese PLA Central Theater Command, Wuhan, P.R. China
| | - Guozheng Xu
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, P.R. China;
- Department of Neurosurgery, The General Hospital of Chinese PLA Central Theater Command, Wuhan, P.R. China
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7
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Chen Y, Li Y, Wu L. Protein S-palmitoylation modification: implications in tumor and tumor immune microenvironment. Front Immunol 2024; 15:1337478. [PMID: 38415253 PMCID: PMC10896991 DOI: 10.3389/fimmu.2024.1337478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Accepted: 01/29/2024] [Indexed: 02/29/2024] Open
Abstract
Protein S-palmitoylation is a reversible post-translational lipid modification that involves the addition of a 16-carbon palmitoyl group to a protein cysteine residue via a thioester linkage. This modification plays a crucial role in the regulation protein localization, accumulation, secretion, stability, and function. Dysregulation of protein S-palmitoylation can disrupt cellular pathways and contribute to the development of various diseases, particularly cancers. Aberrant S-palmitoylation has been extensively studied and proven to be involved in tumor initiation and growth, metastasis, and apoptosis. In addition, emerging evidence suggests that protein S-palmitoylation may also have a potential role in immune modulation. Therefore, a comprehensive understanding of the regulatory mechanisms of S-palmitoylation in tumor cells and the tumor immune microenvironment is essential to improve our understanding of this process. In this review, we summarize the recent progress of S-palmitoylation in tumors and the tumor immune microenvironment, focusing on the S-palmitoylation modification of various proteins. Furthermore, we propose new ideas for immunotherapeutic strategies through S-palmitoylation intervention.
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Affiliation(s)
- Yijiao Chen
- Department of Medical Oncology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Yongsheng Li
- Department of Medical Oncology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Lei Wu
- Department of Medical Oncology, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
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8
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Yang Z, Liu Y, Li H, Tang Q, Yang B, Shi Z, Mao Y. Microneedle Patch Delivery of PLCG1-siRNA Efficient Enhanced Temozolomide Therapy for Glioblastoma. Biomacromolecules 2024; 25:655-665. [PMID: 38242535 DOI: 10.1021/acs.biomac.3c00846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2024]
Abstract
The blood-brain barrier (BBB) and drug resistance present challenges for chemotherapy of glioblastoma (GBM). A microneedle (MN) patch with excellent biocompatibility and biodegradability was designed to bypass the BBB and release temozolomide (TMZ) and PLCG1-siRNA directly into the tumor site for synergistic treatment of GBM. The codelivery of TMZ and PLCG1-siRNA enhanced DNA damage and apoptosis. The potential mechanism behind this enhancement is to knockdown of PLCG1 expression, which positively regulates the expression of signal transducer and activator of transcription 3 genes, thereby preventing DNA repair and enhancing the sensitivity of GBM to TMZ. The MN patch enables long-term sustainable drug release through in situ implantation and increases local drug concentrations in diseased areas, significantly extending mouse survival time compared to other drug treatment groups. MN drug delivery provides a platform for the combination treatment of GBM and other central nervous system diseases.
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Affiliation(s)
- Zhipeng Yang
- Institute of Biomedical Engineering and Technology, Academy for Engineering & Technology, Fudan University, Shanghai 200433, China
| | - Yanjie Liu
- Henan University of Chinese Medicine, Zhengzhou 200433 Henan, China
| | - Haoyuan Li
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Qisheng Tang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Biao Yang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Zhifeng Shi
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
| | - Ying Mao
- Institute of Biomedical Engineering and Technology, Academy for Engineering & Technology, Fudan University, Shanghai 200433, China
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
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Krainer J, Hendling M, Siebenhandl S, Fuehner S, Kessel C, Verweyen E, Vierlinger K, Foell D, Schönthaler S, Weinhäusel A. Patients with Systemic Juvenile Idiopathic Arthritis (SJIA) Show Differences in Autoantibody Signatures Based on Disease Activity. Biomolecules 2023; 13:1392. [PMID: 37759792 PMCID: PMC10527260 DOI: 10.3390/biom13091392] [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: 07/11/2023] [Revised: 09/07/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
Systemic juvenile idiopathic arthritis (SJIA) is a severe rheumatic disease in children. It is a subgroup of juvenile idiopathic arthritis (JIA; MIM #604302), which is the most common rheumatic disease in children. The diagnosis of SJIA often comes with a significant delay, and the classification between autoinflammatory and autoimmune disease is still discussed. In this study, we analyzed the immunological responses of patients with SJIA, using human proteome arrays presenting immobilized recombinantly expressed human proteins, to analyze the involvement of autoantibodies in SJIA. Results from group comparisons show several differentially reactive antigens involved in inflammatory processes. Intriguingly, many of the identified antigens had a high reactivity against proteins involved in the NF-κB pathway, and it is also notable that many of the detected DIRAGs are described as dysregulated in rheumatoid arthritis. Our data highlight novel proteins and pathways potentially dysregulated in SJIA and offer a unique approach to unraveling the underlying disease pathogenesis in this chronic arthropathy.
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Affiliation(s)
- Julie Krainer
- Center for Health and Bioresources, Molecular Diagnostics, AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria; (M.H.); (K.V.); (S.S.)
| | - Michaela Hendling
- Center for Health and Bioresources, Molecular Diagnostics, AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria; (M.H.); (K.V.); (S.S.)
| | - Sandra Siebenhandl
- Center for Health and Bioresources, Molecular Diagnostics, AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria; (M.H.); (K.V.); (S.S.)
| | - Sabrina Fuehner
- Pediatric Rheumatology & Immunology, University Children’s Hospital, 48149 Münster, Germany; (S.F.); (C.K.); (E.V.); (D.F.)
| | - Christoph Kessel
- Pediatric Rheumatology & Immunology, University Children’s Hospital, 48149 Münster, Germany; (S.F.); (C.K.); (E.V.); (D.F.)
| | - Emely Verweyen
- Pediatric Rheumatology & Immunology, University Children’s Hospital, 48149 Münster, Germany; (S.F.); (C.K.); (E.V.); (D.F.)
| | - Klemens Vierlinger
- Center for Health and Bioresources, Molecular Diagnostics, AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria; (M.H.); (K.V.); (S.S.)
| | - Dirk Foell
- Pediatric Rheumatology & Immunology, University Children’s Hospital, 48149 Münster, Germany; (S.F.); (C.K.); (E.V.); (D.F.)
| | - Silvia Schönthaler
- Center for Health and Bioresources, Molecular Diagnostics, AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria; (M.H.); (K.V.); (S.S.)
| | - Andreas Weinhäusel
- Center for Health and Bioresources, Molecular Diagnostics, AIT Austrian Institute of Technology GmbH, Giefinggasse 4, 1210 Vienna, Austria; (M.H.); (K.V.); (S.S.)
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Eurtivong C, Leung E, Sharma N, Leung IKH, Reynisson J. Phosphatidylcholine-Specific Phospholipase C as a Promising Drug Target. Molecules 2023; 28:5637. [PMID: 37570610 PMCID: PMC10420013 DOI: 10.3390/molecules28155637] [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: 05/19/2023] [Revised: 07/12/2023] [Accepted: 07/24/2023] [Indexed: 08/13/2023] Open
Abstract
Phosphatidylcholine-specific phospholipase C (PC-PLC) is an enzyme that catalyzes the formation of the important secondary messengers phosphocholine and diacylglycerol (DAG) from phosphatidylcholine. Although PC-PLC has been linked to the progression of many pathological conditions, including cancer, atherosclerosis, inflammation and neuronal cell death, studies of PC-PLC on the protein level have been somewhat neglected with relatively scarce data. To date, the human gene expressing PC-PLC has not yet been found, and the only protein structure of PC-PLC that has been solved was from Bacillus cereus (PC-PLCBc). Nonetheless, there is evidence for PC-PLC activity as a human functional equivalent of its prokaryotic counterpart. Additionally, inhibitors of PC-PLCBc have been developed as potential therapeutic agents. The most notable classes include 2-aminohydroxamic acids, xanthates, N,N'-hydroxyureas, phospholipid analogues, 1,4-oxazepines, pyrido[3,4-b]indoles, morpholinobenzoic acids and univalent ions. However, many medicinal chemistry studies lack evidence for their cellular and in vivo effects, which hampers the progression of the inhibitors towards the clinic. This review outlines the pathological implications of PC-PLC and highlights current progress and future challenges in the development of PC-PLC inhibitors from the literature.
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Affiliation(s)
- Chatchakorn Eurtivong
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Mahidol University, 447 Si Ayutthaya Road, Ratchathewi, Bangkok 10400, Thailand
| | - Euphemia Leung
- Auckland Cancer Society Research Centre, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand;
| | - Nabangshu Sharma
- School of Chemical Sciences, The University of Auckland, Private Bag 92019, Auckland 1142, New Zealand;
- Scion (New Zealand Forest Research Institute), Te Papa Tipu Innovation Park, 49 Sala Street, Rotorua 3010, New Zealand
| | - Ivanhoe K. H. Leung
- School of Chemistry and Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, 30 Flemington Rd, Parkville, VIC 3052, Australia;
| | - Jóhannes Reynisson
- School of Pharmacy and Bioengineering, Keele University, Newcastle-under-Lyme ST5 5BG, UK;
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11
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Marvi MV, Neri I, Evangelisti C, Ramazzotti G, Asioli S, Zoli M, Mazzatenta D, Neri N, Morandi L, Tonon C, Lodi R, Franceschi E, McCubrey JA, Suh PG, Manzoli L, Ratti S. Phospholipases in Gliomas: Current Knowledge and Future Perspectives from Bench to Bedside. Biomolecules 2023; 13:biom13050798. [PMID: 37238668 DOI: 10.3390/biom13050798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/04/2023] [Accepted: 05/06/2023] [Indexed: 05/28/2023] Open
Abstract
Phospholipases are essential intermediaries that work as hydrolyzing enzymes of phospholipids (PLs), which represent the most abundant species contributing to the biological membranes of nervous cells of the healthy human brain. They generate different lipid mediators, such as diacylglycerol, phosphatidic acid, lysophosphatidic acid, and arachidonic acid, representing key elements of intra- and inter-cellular signaling and being involved in the regulation of several cellular mechanisms that can promote tumor progression and aggressiveness. In this review, it is summarized the current knowledge about the role of phospholipases in brain tumor progression, focusing on low- and high-grade gliomas, representing promising prognostic or therapeutic targets in cancer therapies due to their influential roles in cell proliferation, migration, growth, and survival. A deeper understanding of the phospholipases-related signaling pathways could be necessary to pave the way for new targeted therapeutic strategies.
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Affiliation(s)
- Maria Vittoria Marvi
- Cellular Signalling Laboratory, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy
| | - Irene Neri
- Cellular Signalling Laboratory, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy
| | - Camilla Evangelisti
- Cellular Signalling Laboratory, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy
| | - Giulia Ramazzotti
- Cellular Signalling Laboratory, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy
| | - Sofia Asioli
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy
- Programma Neurochirurgia Ipofisi-Pituitary Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, 40124 Bologna, Italy
| | - Matteo Zoli
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy
- Programma Neurochirurgia Ipofisi-Pituitary Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, 40124 Bologna, Italy
| | - Diego Mazzatenta
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy
- Programma Neurochirurgia Ipofisi-Pituitary Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, 40124 Bologna, Italy
| | - Niccolò Neri
- Programma Neurochirurgia Ipofisi-Pituitary Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, 40124 Bologna, Italy
| | - Luca Morandi
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy
- Functional and Molecular Neuroimaging Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy
| | - Caterina Tonon
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy
- Functional and Molecular Neuroimaging Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy
| | - Raffaele Lodi
- Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy
- Functional and Molecular Neuroimaging Unit, IRCCS Istituto delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy
| | - Enrico Franceschi
- Nervous System Medical Oncology Department, IRCCS Istituto delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy
| | - James A McCubrey
- Department of Microbiology and Immunology, Brody School of Medicine at East Carolina University, Greenville, NC 27858, USA
| | - Pann-Ghill Suh
- Korea Brain Research Institute (KBRI), Daegu 41062, Republic of Korea
- School of Life Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan 44919, Republic of Korea
| | - Lucia Manzoli
- Cellular Signalling Laboratory, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy
| | - Stefano Ratti
- Cellular Signalling Laboratory, Department of Biomedical and Neuromotor Sciences (DIBINEM), University of Bologna, 40126 Bologna, Italy
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Wang H, Zhang B, Shang Y, Chen F, Fan Y, Tan K. A novel risk score model based on pyroptosis-related genes for predicting survival and immunogenic landscape in hepatocellular carcinoma. Aging (Albany NY) 2023; 15:1412-1444. [PMID: 36920176 PMCID: PMC10042690 DOI: 10.18632/aging.204544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 02/13/2023] [Indexed: 03/15/2023]
Abstract
BACKGROUND Hepatocellular carcinoma (HCC) is the third leading cause of cancer worldwide, with high incidence and mortality. Pyroptosis, a form of inflammatory-regulated cell death, is closely associated with oncogenesis. METHODS Expression profiles of HCC were downloaded from the TCGA database and validated using the ICGC and GEO databases. Consensus clustering analysis was used to determine distinct clusters. The pyroptosis-related genes (PRGs) included in the pyroptosis-related signature were selected by univariate Cox regression and LASSO regression analysis. Kaplan-Meier and receiver operating characteristic (ROC) analyses were performed to estimate the prognostic potential of the model. The characteristics of infiltration of immune cells between different groups of HCC were explored. RESULTS Two independent clusters were identified according to PRG expression. Cluster 2 showed upregulated expression, poor prognosis, increased immune cell infiltration and worse immunotherapy response than cluster 1. A prognostic risk signature consisting of five genes (GSDME, NOD1, PLCG1, NLRP6 and NLRC4) was identified. In the high-risk score group, HCC patients showed decreased survival rates. In particular, multiple clinicopathological characteristics and immune cell infiltration were significantly associated with the risk score. Notably, the 5 PRGs in the risk score have been implicated in carcinogenesis, immunological pathways and drug sensitivity. CONCLUSIONS A prognostic signature comprising five PRGs can be used as a potential prognostic factor for HCC. The PRG-related signature provides an in-depth understanding of the association between pyroptosis and chemotherapy or immunotherapy for HCC patients.
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Affiliation(s)
- Hongyu Wang
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang 050024, Hebei, China
| | - Bo Zhang
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang 050024, Hebei, China
| | - Yanan Shang
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang 050024, Hebei, China
| | - Fei Chen
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang 050024, Hebei, China
| | - Yumei Fan
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang 050024, Hebei, China
| | - Ke Tan
- Ministry of Education Key Laboratory of Molecular and Cellular Biology, Hebei Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology, College of Life Sciences, Hebei Normal University, Shijiazhuang 050024, Hebei, China
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Systematic Analysis of a Pyroptosis-Related Signature to Predict the Prognosis and Immune Microenvironment of Lower-Grade Glioma. Cells 2022; 11:cells11243980. [PMID: 36552744 PMCID: PMC9776729 DOI: 10.3390/cells11243980] [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: 11/07/2022] [Revised: 12/06/2022] [Accepted: 12/07/2022] [Indexed: 12/13/2022] Open
Abstract
Current treatments for lower-grade glioma (LGG) do not effectively improve life expectancy rates, and this is a major global health concern. Improving our knowledge of this disease will ultimately help to improve prevention, accurate prognosis, and treatment strategies. Pyroptosis is an inflammatory form of regulated cell death, which plays an important role in tumor progression and occurrence. There is still a lack of effective markers to evaluate the prognosis of LGG patients. We collected paraffin-embedded tissue samples and prognostic information from 85 patients with low-grade gliomas and fabricated them into a tissue microarray. Combining data from public databases, we explored the relationship between pyroptosis-related genes (PRGs) and the prognoses of patients with LGG and investigated their correlations with the tumor microenvironment (TME) by means of machine learning, single-cell, immunohistochemical, nomogram, GSEA, and Cox regression analyses. We developed a six-gene PRG-based prognostic model, and the results have identified CASP4 as an effective marker for LGG prognosis predictions. Furthermore, the effects on immune cell infiltration may also provide guidance for future immunotherapy strategies.
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14
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Zhang M, Huang J, Wang Y, Nie Q, Zhang X, Yang Y, Mao G. Cathepsin a upregulation in glioma: A potential therapeutic target associated with immune infiltration. J Med Biochem 2022; 41:459-465. [PMID: 36381072 PMCID: PMC9618335 DOI: 10.5937/jomb0-35677] [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: 02/23/2022] [Accepted: 04/03/2022] [Indexed: 12/10/2023] Open
Abstract
BACKGROUND Glioma is the result of malignant transformation of glial cells in the white matter of the brain or spinal cord and accounts for approximately 80% of all intracranial malignancies. Cathepsin A (CTSA) is highly expressed in a variety of tumor tissues, but its role in glioma is poorly studied. This study analyses the relationship between CTSA, and glioma based on The Cancer Genome Atlas (TCGA). METHODS Data for glioma patients were collected from TCGA. The expression level of CTSA was compared between paired glioma tissues and normal tissues with Wilcoxon rank-sum test. In addition, the Wilcoxon ranksum test was also applied to analyze the relationship between clinicopathologic features and CTSA expression. Kaplan-Meier Plotter was applied to analyze OS, DSS and PFI. Immuno-infiltration analysis of BLCA was performed by single sample gene set enrichment analysis (ssGSEA) in the "GSVA" R package. RESULTS The CTSA was overexpressed in glioma tissues compared to normal tissues (P<0.001). The high expression of CTSA was significantly related to 1p/19q codeletion, IDH, WHO grade and histological type. Kaplan-Meier survival analysis showed that patients with glioma characterized with high expressed CTSA had a poorer OS (HR=2.16 P<0.001), DSS (HR=2.17 P<0.001) and PFI (HR=1.48 P<0.001) than patients with low CTSA expression. Moreover, High expressed CTSA was associated with immune cell infiltration. CONCLUSIONS CTSA may serve as a candidate prognostic biomarker for determining prognosis associated with immune infiltration in glioma.
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Affiliation(s)
- Ming Zhang
- The Third Medical Centre Chinese PLA (People's Liberation Army) General Hospital, Department of Neurosurgery, Beijing, China
| | - Jun Huang
- The Third Medical Centre Chinese PLA (People's Liberation Army) General Hospital, Department of Neurosurgery, Beijing, China
| | - Yunfei Wang
- The Third Medical Centre Chinese PLA (People's Liberation Army) General Hospital, Department of Neurosurgery, Beijing, China
| | - Qingbin Nie
- The Third Medical Centre Chinese PLA (People's Liberation Army) General Hospital, Department of Neurosurgery, Beijing, China
| | - Xinye Zhang
- The Third Medical Centre Chinese PLA (People's Liberation Army) General Hospital, Department of Neurosurgery, Beijing, China
| | - Yufeng Yang
- The Third Medical Centre Chinese PLA (People's Liberation Army) General Hospital, Department of Neurosurgery, Beijing, China
| | - Gengsheng Mao
- The Third Medical Centre Chinese PLA (People's Liberation Army) General Hospital, Department of Neurosurgery, Beijing, China
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15
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The cell-line-derived subcutaneous tumor model in preclinical cancer research. Nat Protoc 2022; 17:2108-2128. [PMID: 35859135 DOI: 10.1038/s41596-022-00709-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 03/31/2022] [Indexed: 01/09/2023]
Abstract
Tumor-bearing experimental animals are essential for preclinical cancer drug development. A broad range of tumor models is available, with the simplest and most widely used involving a tumor of mouse or human origin growing beneath the skin of a mouse: the subcutaneous tumor model. Here, we outline the different types of in vivo tumor model, including some of their advantages and disadvantages and how they fit into the drug-development process. We then describe in more detail the subcutaneous tumor model and key steps needed to establish it in the laboratory, namely: choosing the mouse strain and tumor cells; cell culture, preparation and injection of tumor cells; determining tumor volume; mouse welfare; and an appropriate experimental end point. The protocol leads to subcutaneous tumor growth usually within 1-3 weeks of cell injection and is suitable for those with experience in tissue culture and mouse experimentation.
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Identification of a Novel Risk Model: A Five-Gene Prognostic Signature for Pancreatic Cancer. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2022; 2022:3660110. [PMID: 35845587 PMCID: PMC9286972 DOI: 10.1155/2022/3660110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Revised: 06/14/2022] [Accepted: 06/15/2022] [Indexed: 12/24/2022]
Abstract
Objective. Biomarkers for pancreatic cancer (PCa) prognosis provide evidence for improving the survival outcome of this disease. This study aimed to identify a prognostic risk model based on gene expression profiling of microarray bioinformatics analysis. Methods. Prognostic immune genes in the TCGA-PAAD cohort were identified using the univariate Cox regression and Kaplan–Meier survival analysis. Multivariate Cox regression (stepAIC) was used to identify prognostic genes from the top 20 hub genes in the protein-protein interaction (PPI) network. A prognostic risk model was established and its performance in predicting the overall survival in PCa was validated in GSE62452. Gene mutations and infiltration immune cells in PCa tumors were analyzed using online databases. Results. Univariate Cox regression and Kaplan–Meier survival analyses identified 128 prognostic genes. Multivariate Cox regression (stepAIC) identified five prognostic genes (PLCG1, MET, TNFSF10, CXCL9, and TLR3) out of the 20 hub genes in the PPI network. A prognostic risk model was established using the signature of five genes. This model had moderate to high accuracies (AUC > 0.700) in predicting 3-year and 5-year overall survival in TCGA and GSE62452 cohorts. The Kaplan–Meier survival analysis showed that high-risk scores were correlated with poor survival outcomes in PCa (
). Also, mutations in the five genes were related to poor survival. The five genes were related to multiple immune cells. Conclusions. The prognostic risk model was significantly correlated with the survival in PCa patients. This model modulated PCa tumor progression and prognosis by regulating immune cell infiltration.
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The Prognostic Value of the Circulating Tumor Cell-Based Four mRNA Scoring System: A New Non-Invasive Setting for the Management of Bladder Cancer. Cancers (Basel) 2022; 14:cancers14133118. [PMID: 35804889 PMCID: PMC9264990 DOI: 10.3390/cancers14133118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 06/15/2022] [Accepted: 06/22/2022] [Indexed: 12/10/2022] Open
Abstract
Bladder cancer (BC) is one of the most expensive lifetime cancers to treat because of the high recurrence rate, repeated surgeries, and long-term cystoscopy monitoring and treatment. The lack of an accurate classification system predicting the risk of recurrence or progression leads to the search for new biomarkers and strategies. Our pilot study aimed to identify a prognostic gene signature in circulating tumor cells (CTCs) isolated by ScreenCell devices from muscle invasive and non-muscle invasive BC patients. Through the PubMed database and Cancer Genome Atlas dataset, a panel of 15 genes modulated in BC with respect to normal tissues was selected. Their expression was evaluated in CTCs and thanks to the univariate and multivariate Cox regression analysis, EGFR, TRPM4, TWIST1, and ZEB1 were recognized as prognostic biomarkers. Thereafter, by using the risk score model, we demonstrated that this 4-gene signature significantly grouped patients into high- and low-risk in terms of recurrence free survival (HR = 2.704, 95% CI = 1.010−7.313, Log-rank p < 0.050). Overall, we identified a new prognostic signature that directly impacted the prediction of recurrence, improving the choice of the best treatment for BC patients.
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Su K, Peng Y, Yu H. Development of a Prognostic Model Based on Pyroptosis-Related Genes in Pancreatic Adenocarcinoma. DISEASE MARKERS 2022; 2022:9141117. [PMID: 35677632 PMCID: PMC9169203 DOI: 10.1155/2022/9141117] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 05/12/2022] [Accepted: 05/19/2022] [Indexed: 11/17/2022]
Abstract
Background The importance of pyroptosis in tumorigenesis and cancer progression is becoming increasingly apparent. However, the efficacy of using pyroptosis-related genes (PRGs) in predicting the prognosis of pancreatic adenocarcinoma (PAAD) patients is unknown. Methods This investigation used two databases to obtain expression data for PAAD patients. Differentially expressed PRGs (DEPRGs) were identified between PAAD and control samples. Several bioinformatic approaches were used to analyze the biological functions of DEPRGs and to identify prognostic DERPGs. A miRNA-prognostic DEPRG-transcription factor (TF) regulatory network was created via the miRNet online tool. A risk score model was created after each patient's risk score was calculated. The microenvironments of the low- and high-risk groups were assessed using xCell, the expression of immune checkpoints was determined, and gene set variation analysis (GSVA) was performed. Finally, the efficacy of certain potential drugs was predicted using the pRRophetic algorithm, and the results in the high- and low-risk groups were compared. Results A total of 13 DEPRGs were identified between PAAD and control samples. Functional enrichment analysis showed that the DEPRGs had a close relationship with inflammation. In univariate and multivariate Cox regression analyses, GSDMC, IRF1, and PLCG1 were identified as prognostic biomarkers in PAAD. The results of the miRNA-prognostic DEPRG-TF regulatory network showed that GSDMC, IRF1, and PLCG1 were regulated by both specific and common miRNAs and TFs. Based on the risk score and other independent prognostic indicators, a nomogram with a good ability to predict the survival of PAAD patients was developed. By evaluating the tumor microenvironment, we observed that the immune and metabolic microenvironments of the two groups were substantially different. In addition, individuals in the low-risk group were more susceptible to axitinib and camptothecin, whereas lapatinib might be preferred for patients in the high-risk group. Conclusion Our study revealed the prognostic value of PRGs in PAAD and created a reliable model for predicting the prognosis of PAAD patients. Our findings will benefit the prognostication and treatment of PAAD patients.
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Affiliation(s)
- Kaifeng Su
- Medical Faculty of Ludwig-Maximilians-University of Munich, University Hospital of LMU Munich, Munich, Germany
| | - Yang Peng
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Haochen Yu
- Medical Faculty of Ludwig-Maximilians-University of Munich, University Hospital of LMU Munich, Munich, Germany
- Department of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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