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Cao J, Chen Q, Qiu J, Wang Y, Lan W, Du X, Tan K. NGCN: Drug-target interaction prediction by integrating information and feature learning from heterogeneous network. J Cell Mol Med 2024; 28:e18224. [PMID: 38509739 PMCID: PMC10955156 DOI: 10.1111/jcmm.18224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 02/14/2024] [Accepted: 02/26/2024] [Indexed: 03/22/2024] Open
Abstract
Drug-target interaction (DTI) prediction is essential for new drug design and development. Constructing heterogeneous network based on diverse information about drugs, proteins and diseases provides new opportunities for DTI prediction. However, the inherent complexity, high dimensionality and noise of such a network prevent us from taking full advantage of these network characteristics. This article proposes a novel method, NGCN, to predict drug-target interactions from an integrated heterogeneous network, from which to extract relevant biological properties and association information while maintaining the topology information. It focuses on learning the topology representation of drugs and targets to improve the performance of DTI prediction. Unlike traditional methods, it focuses on learning the low-dimensional topology representation of drugs and targets via graph-based convolutional neural network. NGCN achieves substantial performance improvements over other state-of-the-art methods, such as a nearly 1.0% increase in AUPR value. Moreover, we verify the robustness of NGCN through benchmark tests, and the experimental results demonstrate it is an extensible framework capable of combining heterogeneous information for DTI prediction.
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Affiliation(s)
- Junyue Cao
- College of Life Science and TechnologyGuangxi UniversityNanningChina
| | - Qingfeng Chen
- School of Computer, Electronics and InformationGuangxi UniversityNanningChina
| | - Junlai Qiu
- School of Computer, Electronics and InformationGuangxi UniversityNanningChina
| | - Yiming Wang
- School of Computer, Electronics and InformationGuangxi UniversityNanningChina
| | - Wei Lan
- School of Computer, Electronics and InformationGuangxi UniversityNanningChina
| | - Xiaojing Du
- School of Computer, Electronics and InformationGuangxi UniversityNanningChina
| | - Kai Tan
- School of Computer, Electronics and InformationGuangxi UniversityNanningChina
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2
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Chen S, Li M, Semenov I. MFA-DTI: Drug-target interaction prediction based on multi-feature fusion adopted framework. Methods 2024; 224:79-92. [PMID: 38430967 DOI: 10.1016/j.ymeth.2024.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Revised: 02/16/2024] [Accepted: 02/23/2024] [Indexed: 03/05/2024] Open
Abstract
The identification of drug-target interactions (DTI) is a valuable step in the drug discovery and repositioning process. However, traditional laboratory experiments are time-consuming and expensive. Computational methods have streamlined research to determine DTIs. The application of deep learning methods has significantly improved the prediction performance for DTIs. Modern deep learning methods can leverage multiple sources of information, including sequence data that contains biological structural information, and interaction data. While useful, these methods cannot be effectively applied to each type of information individually (e.g., chemical structure and interaction network) and do not take into account the specificity of DTI data such as low- or zero-interaction biological entities. To overcome these limitations, we propose a method called MFA-DTI (Multi-feature Fusion Adopted framework for DTI). MFA-DTI consists of three modules: an interaction graph learning module that processes the interaction network to generate interaction vectors, a chemical structure learning module that extracts features from the chemical structure, and a fusion module that combines these features for the final prediction. To validate the performance of MFA-DTI, we conducted experiments on six public datasets under different settings. The results indicate that the proposed method is highly effective in various settings and outperforms state-of-the-art methods.
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Affiliation(s)
- Siqi Chen
- School of Information Science and Engineering, Chongqing Jiaotong University, Chongqing, 400074, China.
| | - Minghui Li
- Beidahuang Industry Group General Hospital, Harbin, 150006, China
| | - Ivan Semenov
- College of Intelligence and Computing, Tianjin University, Tianjin, 300072, China
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3
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Hu HM, Lee HL, Liu CJ, Hsieh YH, Chen YS, Hsueh KC. Loss of MTA2-mediated downregulation of PTK7 inhibits hepatocellular carcinoma metastasis progression by modulating the FAK-MMP7 axis. Environ Toxicol 2024; 39:1897-1908. [PMID: 38050825 DOI: 10.1002/tox.24073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 11/14/2023] [Accepted: 11/20/2023] [Indexed: 12/07/2023]
Abstract
The expression of metastasis tumor-associated protein 2 (MTA2) and protein tyrosine kinase 7 (PTK7) is associated with hepatocellular carcinoma (HCC) progression. However, the functional effect and mechanism through which MTA2 regulates PTK7-mediated HCC progression remains unclear. Here, we found that MTA2 knockdown significantly down-regulated PTK7 expression in HCC cells (SK-Hep-1 and PLC/PRF/5). Data from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases show that the PTK7 expression level was higher in HCC tissues than in normal liver tissues. In HCC patients, the PTK7 expression level clearly correlated with tumor stage and grade, lower overall survival (OS) correlated positively with MTA2 level, and PTK7 expression acted as a downstream factor for MTA2 expression. In addition, matrix metalloproteinase 7 (MMP7) expression was closely regulated by PTK7, and the mRNA and protein expression levels of MTA2 and PTK7 correlated positively with lower OS. MMP7 downregulation by PTK7 knockdown clearly decreased the migration and invasion abilities of HCC cells. In HCC cells, recombinant human MMP7 reversed the PTK7 knockdown-induced suppression of migration and invasion. Furthermore, deactivation of FAK using siFAK or FAK inhibitor (PF-573228, PF) synergistically contributed to PTK7 knockdown-inhibited FAK activity, MMP7 expression, and the migration and invasion abilities of HCC cells. Collectively, our findings show that PTK7 mediates HCC progression by regulating the MTA2-FAK-MMP7 axis and may be a diagnostic value for HCC patients.
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Affiliation(s)
- Huang-Ming Hu
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Medical University, Kaohsiung, Taiwan
- Department of Internal Medicine, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
| | - Hsiang-Lin Lee
- School of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Deptartment of Surgery, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Chung-Jung Liu
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Medical University, Kaohsiung, Taiwan
- Regenerative Medicine and Cell Therapy Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yi-Hsien Hsieh
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan
- Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Yong-Syuan Chen
- Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan
| | - Kuan-Chun Hsueh
- Division of General Surgery, Department of Surgery, Tungs' Taichung Metroharbor Hospital, Taichung, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
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4
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Wei QY, Jin F, Wang ZY, Li BJ, Cao WB, Sun ZY, Mo SJ. MicroRNAs: A novel signature in the metastasis of esophageal squamous cell carcinoma. World J Gastroenterol 2024; 30:1497-1523. [DOI: 10.3748/wjg.v30.i11.1497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 01/12/2024] [Accepted: 03/01/2024] [Indexed: 03/21/2024] Open
Abstract
Esophageal squamous cell carcinoma (ESCC) is a malignant epithelial tumor, characterized by squamous cell differentiation, it is the sixth leading cause of cancer-related deaths globally. The increased mortality rate of ESCC patients is predominantly due to the advanced stage of the disease when discovered, coupled with higher risk of metastasis, which is an exceedingly malignant characteristic of cancer, frequently leading to a high mortality rate. Unfortunately, there is currently no specific and effective marker to predict and treat metastasis in ESCC. MicroRNAs (miRNAs) are a class of small non-coding RNA molecules, approximately 22 nucleotides in length. miRNAs are vital in modulating gene expression and serve pivotal regulatory roles in the occurrence, progression, and prognosis of cancer. Here, we have examined the literature to highlight the intimate correlations between miRNAs and ESCC metastasis, and show that ESCC metastasis is predominantly regulated or regulated by genetic and epigenetic factors. This review proposes a potential role for miRNAs as diagnostic and therapeutic biomarkers for metastasis in ESCC metastasis, with the ultimate aim of reducing the mortality rate among patients with ESCC.
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Affiliation(s)
- Qi-Ying Wei
- Department of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, Henan Province, China
| | - Feng Jin
- Department of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, Henan Province, China
| | - Zhong-Yu Wang
- Department of Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Bing-Jie Li
- Department of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, Henan Province, China
| | - Wen-Bo Cao
- Department of Pathophysiology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, Henan Province, China
| | - Zhi-Yan Sun
- Division of Special Service, Department of Basic Oncology, School of Basic Medicine, Zhengzhou University, Zhengzhou 450001, Henan Province, China
| | - Sai-Jun Mo
- Department of Basic Science of Oncology, School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, Henan Province, China
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5
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Niu P, Xu H, Fan M. Discovery and optimization of (2-naphthylthio)acetic acid derivative as selective Bfl-1 inhibitor. Bioorg Med Chem Lett 2024; 101:129658. [PMID: 38373466 DOI: 10.1016/j.bmcl.2024.129658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 02/10/2024] [Accepted: 02/14/2024] [Indexed: 02/21/2024]
Abstract
Bcl-2 anti-apoptotic protein family suppresses cell death by deploying a surface groove to capture the critical BH3 α-helix of pro-apoptotic members. Bfl-1 is a relatively understudied member of this family, though it has been implicated in the pathogenesis and chemoresistance of a variety of human cancers. Reported small molecular Bfl-1 inhibitors encountered the issue of either lack in potency or poor selectivity against its most homologous member Mcl-1. In order to tackle this issue, compound library was screened and a hit compound UMI-77 was identified. We modified its chemical structure to remove the characteristic of PAINS (pan-assay interference compounds), demonstrated the real binding affinity and achieved selectivity against Mcl-1 under the guidance of computational modeling. After optimization 15 was obtained as leading compound to block Bfl-1/BIM interaction in vitro with more than 10-fold selectivity over Mcl-1. We believe 15 is of great value for the exploration of Bfl-1 biological function and its potential as therapeutic target.
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Affiliation(s)
- Pengpeng Niu
- Academy of Medical Engineering and Translational Medicine (AMT), Tianjin University, Tianjin 300072, China; Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310018, China
| | - Huiqi Xu
- Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310018, China; College of Pharmaceutical Science, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China
| | - Mengyang Fan
- Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, Zhejiang 310018, China; Zhejiang Cancer Hospital, Hangzhou, Zhejiang 310022, China.
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6
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Priyanka P, Gopalakrishnan AP, Nisar M, Shivamurthy PB, George M, John L, Sanjeev D, Yandigeri T, Thomas SD, Rafi A, Dagamajalu S, Velikkakath AKG, Abhinand CS, Kanekar S, Prasad TSK, Balaya RDA, Raju R. A global phosphosite-correlated network map of Thousand And One Kinase 1 (TAOK1). Int J Biochem Cell Biol 2024; 170:106558. [PMID: 38479581 DOI: 10.1016/j.biocel.2024.106558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 02/19/2024] [Accepted: 03/09/2024] [Indexed: 03/25/2024]
Abstract
Thousand and one amino acid kinase 1 (TAOK1) is a sterile 20 family Serine/Threonine kinase linked to microtubule dynamics, checkpoint signaling, DNA damage response, and neurological functions. Molecular-level alterations of TAOK1 have been associated with neurodevelopment disorders and cancers. Despite their known involvement in physiological and pathophysiological processes, and as a core member of the hippo signaling pathway, the phosphoregulatory network of TAOK1 has not been visualized. Aimed to explore this network, we first analyzed the predominantly detected and differentially regulated TAOK1 phosphosites in global phosphoproteome datasets across diverse experimental conditions. Based on 709 qualitative and 210 quantitative differential cellular phosphoproteome datasets that were systematically assembled, we identified that phosphorylation at Ser421, Ser9, Ser965, and Ser445 predominantly represented TAOK1 in almost 75% of these datasets. Surprisingly, the functional role of all these phosphosites in TAOK1 remains unexplored. Hence, we employed a robust strategy to extract the phosphosites in proteins that significantly correlated in expression with predominant TAOK1 phosphosites. This led to the first categorization of the phosphosites including those in the currently known and predicted interactors, kinases, and substrates, that positively/negatively correlated with the expression status of each predominant TAOK1 phosphosites. Subsequently, we also analyzed the phosphosites in core proteins of the hippo signaling pathway. Based on the TAOK1 phosphoregulatory network analysis, we inferred the potential role of the predominant TAOK1 phosphosites. Especially, we propose pSer9 as an autophosphorylation and TAOK1 kinase activity-associated phosphosite and pS421, the most frequently detected phosphosite in TAOK1, as a significant regulatory phosphosite involved in the maintenance of genome integrity. Considering that the impact of all phosphosites that predominantly represent each kinase is essential for the efficient interpretation of global phosphoproteome datasets, we believe that the approach undertaken in this study is suitable to be extended to other kinases for accelerated research.
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Affiliation(s)
- Pahal Priyanka
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Athira Perunelly Gopalakrishnan
- Center for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Mahammad Nisar
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore 575018, India.
| | | | - Mejo George
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Levin John
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Diya Sanjeev
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Tanuja Yandigeri
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Sonet D Thomas
- Center for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Ahmad Rafi
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Shobha Dagamajalu
- Center for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Anoop Kumar G Velikkakath
- Center for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Chandran S Abhinand
- Center for Systems Biology and Molecular Medicine (CSBMM), Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India.
| | - Saptami Kanekar
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore 575018, India.
| | | | | | - Rajesh Raju
- Centre for Integrative Omics Data Science (CIODS), Yenepoya (Deemed to be University), Mangalore 575018, India.
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7
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Idrees S, Paudel KR, Sadaf T, Hansbro PM. Uncovering domain motif interactions using high-throughput protein-protein interaction detection methods. FEBS Lett 2024. [PMID: 38439692 DOI: 10.1002/1873-3468.14841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/09/2024] [Accepted: 02/18/2024] [Indexed: 03/06/2024]
Abstract
Protein-protein interactions (PPIs) are often mediated by short linear motifs (SLiMs) in one protein and domain in another, known as domain-motif interactions (DMIs). During the past decade, SLiMs have been studied to find their role in cellular functions such as post-translational modifications, regulatory processes, protein scaffolding, cell cycle progression, cell adhesion, cell signalling and substrate selection for proteasomal degradation. This review provides a comprehensive overview of the current PPI detection techniques and resources, focusing on their relevance to capturing interactions mediated by SLiMs. We also address the challenges associated with capturing DMIs. Moreover, a case study analysing the BioGrid database as a source of DMI prediction revealed significant known DMI enrichment in different PPI detection methods. Overall, it can be said that current high-throughput PPI detection methods can be a reliable source for predicting DMIs.
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Affiliation(s)
- Sobia Idrees
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia
- Centre for Inflammation, Centenary Institute and Faculty of Science, School of Life Sciences, University of Technology Sydney, Australia
| | - Keshav Raj Paudel
- Centre for Inflammation, Centenary Institute and Faculty of Science, School of Life Sciences, University of Technology Sydney, Australia
| | - Tayyaba Sadaf
- Centre for Inflammation, Centenary Institute and Faculty of Science, School of Life Sciences, University of Technology Sydney, Australia
| | - Philip M Hansbro
- Centre for Inflammation, Centenary Institute and Faculty of Science, School of Life Sciences, University of Technology Sydney, Australia
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Naso FD, Polverino F, Cilluffo D, Latini L, Stagni V, Asteriti IA, Rosa A, Soddu S, Guarguaglini G. AurkA/TPX2 co-overexpression in nontransformed cells promotes genome instability through induction of chromosome mis-segregation and attenuation of the p53 signalling pathway. Biochim Biophys Acta Mol Basis Dis 2024; 1870:167116. [PMID: 38447882 DOI: 10.1016/j.bbadis.2024.167116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Revised: 02/19/2024] [Accepted: 03/01/2024] [Indexed: 03/08/2024]
Abstract
The Aurora-A kinase (AurkA) and its major regulator TPX2 (Targeting Protein for Xklp2) are key mitotic players frequently co-overexpressed in human cancers, and the link between deregulation of the AurkA/TPX2 complex and tumourigenesis is actively investigated. Chromosomal instability, one of the hallmarks of cancer related to the development of intra-tumour heterogeneity, metastasis and chemo-resistance, has been frequently associated with TPX2-overexpressing tumours. In this study we aimed to investigate the actual contribution to chromosomal instability of deregulating the AurkA/TPX2 complex, by overexpressing it in nontransformed hTERT RPE-1 cells. Our results show that overexpression of both AurkA and TPX2 results in increased AurkA activation and severe mitotic defects, compared to AurkA overexpression alone. We also show that AurkA/TPX2 co-overexpression yields increased aneuploidy in daughter cells and the generation of micronucleated cells. Interestingly, the p53/p21 axis response is impaired in AurkA/TPX2 overexpressing cells subjected to different stimuli; consistently, cells acquire increased ability to proliferate after independent induction of mitotic errors, i.e. following nocodazole treatment. Based on our observation that increased levels of the AurkA/TPX2 complex affect chromosome segregation fidelity and interfere with the activation of a pivotal surveillance mechanism in response to altered cell division, we propose that co-overexpression of AurkA and TPX2 per se represents a condition promoting the generation of a genetically unstable context in nontransformed human cells.
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Affiliation(s)
- Francesco Davide Naso
- Institute of Molecular Biology and Pathology, National Research Council of Italy, c/o Sapienza University of Rome, Via degli Apuli 4, 00185 Rome, Italy
| | - Federica Polverino
- Institute of Molecular Biology and Pathology, National Research Council of Italy, c/o Sapienza University of Rome, Via degli Apuli 4, 00185 Rome, Italy
| | - Danilo Cilluffo
- Institute of Molecular Biology and Pathology, National Research Council of Italy, c/o Sapienza University of Rome, Via degli Apuli 4, 00185 Rome, Italy
| | - Linda Latini
- Institute of Molecular Biology and Pathology, National Research Council of Italy, c/o Sapienza University of Rome, Via degli Apuli 4, 00185 Rome, Italy
| | - Venturina Stagni
- Institute of Molecular Biology and Pathology, National Research Council of Italy, c/o Sapienza University of Rome, Via degli Apuli 4, 00185 Rome, Italy; Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Fondazione Santa Lucia, Signal Transduction Unit, Via del Fosso di Fiorano 64/65, 00143 Rome, Italy
| | - Italia Anna Asteriti
- Institute of Molecular Biology and Pathology, National Research Council of Italy, c/o Sapienza University of Rome, Via degli Apuli 4, 00185 Rome, Italy
| | - Alessandro Rosa
- Center for Life Nano- & Neuro-Science, Fondazione Istituto Italiano di Tecnologia (IIT), Viale Regina Elena, 291, 00161 Rome, Italy; Department of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
| | - Silvia Soddu
- Unit of Cellular Networks and Molecular Therapeutic Targets, IRCCS Regina Elena National Cancer Institute, Rome, Italy
| | - Giulia Guarguaglini
- Institute of Molecular Biology and Pathology, National Research Council of Italy, c/o Sapienza University of Rome, Via degli Apuli 4, 00185 Rome, Italy.
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9
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Zhao K, Li X, Feng Y, Wang J, Yao W. The role of kinesin family members in hepatobiliary carcinomas: from bench to bedside. Biomark Res 2024; 12:30. [PMID: 38433242 PMCID: PMC10910842 DOI: 10.1186/s40364-024-00559-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 01/03/2024] [Indexed: 03/05/2024] Open
Abstract
As a major component of the digestive system malignancies, tumors originating from the hepatic and biliary ducts seriously endanger public health. The kinesins (KIFs) are molecular motors that enable the microtubule-dependent intracellular trafficking necessary for mitosis and meiosis. Normally, the stability of KIFs is essential to maintain cell proliferation and genetic homeostasis. However, aberrant KIFs activity may destroy this dynamic stability, leading to uncontrolled cell division and tumor initiation. In this work, we have made an integral summarization of the specific roles of KIFs in hepatocellular and biliary duct carcinogenesis, referring to aberrant signal transduction and the potential for prognostic evaluation. Additionally, current clinical applications of KIFs-targeted inhibitors have also been discussed, including their efficacy advantages, relationship with drug sensitivity or resistance, the feasibility of combination chemotherapy or other targeted agents, as well as the corresponding clinical trials. In conclusion, the abnormally activated KIFs participate in the regulation of tumor progression via a diverse range of mechanisms and are closely associated with tumor prognosis. Meanwhile, KIFs-aimed inhibitors also carry out a promising tumor-targeted therapeutic strategy that deserves to be further investigated in hepatobiliary carcinoma (HBC).
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Affiliation(s)
- Kai Zhao
- Department of Biliary and Pancreatic Surgery, Cancer Research Center Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China
| | - Xiangyu Li
- Department of Thoracic Surgery Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China
| | - Yunxiang Feng
- Department of Biliary and Pancreatic Surgery, Cancer Research Center Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China
| | - Jianming Wang
- Department of Biliary and Pancreatic Surgery, Cancer Research Center Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China.
- Affiliated Tianyou Hospital, Wuhan University of Science & Technology, 430064, Wuhan, China.
| | - Wei Yao
- Department of Oncology Affiliated Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030, Wuhan, Hubei, China.
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10
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E Z, Qiao G, Wang G, Li Y. GSL-DTI: Graph structure learning network for Drug-Target interaction prediction. Methods 2024; 223:136-145. [PMID: 38360082 DOI: 10.1016/j.ymeth.2024.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Revised: 12/23/2023] [Accepted: 01/29/2024] [Indexed: 02/17/2024] Open
Abstract
MOTIVATION Drug-target interaction prediction is an important area of research to predict whether there is an interaction between a drug molecule and its target protein. It plays a critical role in drug discovery and development by facilitating the identification of potential drug candidates and expediting the overall process. Given the time-consuming, expensive, and high-risk nature of traditional drug discovery methods, the prediction of drug-target interactions has become an indispensable tool. Using machine learning and deep learning to tackle this class of problems has become a mainstream approach, and graph-based models have recently received much attention in this field. However, many current graph-based Drug-Target Interaction (DTI) prediction methods rely on manually defined rules to construct the Drug-Protein Pair (DPP) network during the DPP representation learning process. However, these methods fail to capture the true underlying relationships between drug molecules and target proteins. RESULTS We propose GSL-DTI, an automatic graph structure learning model used for predicting drug-target interactions (DTIs). Initially, we integrate large-scale heterogeneous networks using a graph convolution network based on meta-paths, effectively learning the representations of drugs and target proteins. Subsequently, we construct drug-protein pairs based on these representations. In contrast to previous studies that construct DPP networks based on manual rules, our method introduces an automatic graph structure learning approach. This approach utilizes a filter gate on the affinity scores of DPPs and relies on the classification loss of downstream tasks to guide the learning of the underlying DPP network structure. Based on the learned DPP network, we transform the prediction of drug-target interactions into a node classification problem. The comprehensive experiments conducted on three public datasets have shown the superiority of GSL-DTI in the tasks of DTI prediction. Additionally, GSL-DTI provides a fresh perspective for advancing research in graph structure learning for DTI prediction.
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Affiliation(s)
- Zixuan E
- College of Computer and Control Engineering, Northeast Forestry University,Harbin 150006, China
| | - Guanyu Qiao
- College of Computer and Control Engineering, Northeast Forestry University,Harbin 150006, China
| | - Guohua Wang
- College of Computer and Control Engineering, Northeast Forestry University,Harbin 150006, China.
| | - Yang Li
- College of Computer and Control Engineering, Northeast Forestry University,Harbin 150006, China.
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Liu Q, Li X, Li Y, Luo Q, Fan Q, Lu A, Guan D, Li J. A novel network pharmacology strategy to decode mechanism of Wuling Powder in treating liver cirrhosis. Chin Med 2024; 19:36. [PMID: 38429802 PMCID: PMC10905787 DOI: 10.1186/s13020-024-00896-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 01/26/2024] [Indexed: 03/03/2024] Open
Abstract
BACKGROUND Liver cirrhosis is a chronic liver disease with hepatocyte necrosis and lesion. As one of the TCM formulas Wuling Powder (WLP) is widely used in the treatment of liver cirrhosis. However, it's key functional components and action mechanism still remain unclear. We attempted to explore the Key Group of Effective Components (KGEC) of WLP in the treatment of Liver cirrhosis through integrative pharmacology combined with experiments. METHODS The components and potential target genes of WLP were extracted from published databases. A novel node importance calculation model considering both node control force and node bridging force is designed to construct the Function Response Space (FRS) and obtain key effector proteins. The genetic knapsack algorithm was employed to select KGEC. The effectiveness and reliability of KGEC were evaluated at the functional level by using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Finally, the effectiveness and potential mechanism of KGEC were confirmed by CCK-8, qPCR and Western blot. RESULTS 940 effective proteins were obtained in FRS. KEGG pathways and GO terms enrichments analysis suggested that effective proteins well reflect liver cirrhosis characteristics at the functional level. 29 components of WLP were defined as KGEC, which covered 100% of the targets of the effective proteins. Additionally, the pathways enriched for the KGEC targets accounted for 83.33% of the shared genes between the targets and the pathogenic genes enrichment pathways. Three components scopoletin, caryophyllene oxide, and hydroxyzinamic acid from KGEC were selected for in vivo verification. The qPCR results demonstrated that all three components significantly reduced the mRNA levels of COL1A1 in TGF-β1-induced liver cirrhosis model. Furthermore, the Western blot assay indicated that these components acted synergistically to target the NF-κB, AMPK/p38, cAMP, and PI3K/AKT pathways, thus inhibiting the progression of liver cirrhosis. CONCLUSION In summary, we have developed a new model that reveals the key components and potential mechanisms of WLP for the treatment of liver cirrhosis. This model provides a reference for the secondary development of WLP and offers a methodological strategy for studying TCM formulas.
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Affiliation(s)
- Qinwen Liu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, China
| | - Xiaowei Li
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, China
| | - Yi Li
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, China
| | - Qian Luo
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, China
| | - Qiling Fan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, China
| | - Aiping Lu
- Institute of Integrated Bioinformedicine and Translational Science, Hong Kong Baptist University, Hong Kong, China.
- Guangdong-Hong Kong-Macau Joint Lab On Chinese Medicine and Immune Disease Research, Guangzhou, China.
| | - Daogang Guan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, China.
| | - Jiahui Li
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
- Center for Genetics and Developmental Systems Biology, Department of Obstetrics and Gynecology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
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12
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Pensotti A, Bizzarri M, Bertolaso M. The phenotypic reversion of cancer: Experimental evidences on cancer reversibility through epigenetic mechanisms (Review). Oncol Rep 2024; 51:48. [PMID: 38275101 PMCID: PMC10835663 DOI: 10.3892/or.2024.8707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/11/2024] [Indexed: 01/27/2024] Open
Abstract
Different experimental models reveal that malignant cancer cells can be induced to change their phenotype into a benign one. This phenotypic transformation, confirmed both in vitro and in vivo, currently is known as 'tumor reversion'. This evidence raises a radical question among current cancer models: Is cancer reversible? How do genetic and epigenetic alterations hierarchically relate? Understanding the mechanisms of 'tumor reversion' represents a key point in order to evolve the actual cancer models and develop new heuristic models that can possibly lead to drugs that target epigenetic mechanisms, for example epigenetic drugs. Even though evidence of tumor reversion dates back to the 1950s, this remains a completely new field of research recently re‑discovered thanks to the interest in cell reprogramming research, developmental biology and the increasing understanding of epigenetic mechanisms. In the current review, a comprehensive review of all the main experimental models on tumor reversion was presented.
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Affiliation(s)
- Andrea Pensotti
- Research Unit of Philosophy of Science and Human Development, University Campus Bio‑Medico of Rome, I‑00128 Rome, Italy
| | - Mariano Bizzarri
- Systems Biology Group Lab, Department of Experimental Medicine, Sapienza University, I‑00185 Rome, Italy
| | - Marta Bertolaso
- Research Unit of Philosophy of Science and Human Development, University Campus Bio‑Medico of Rome, I‑00128 Rome, Italy
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13
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Yang S, Jia J, Wang F, Wang Y, Fang Y, Yang Y, Zhou Q, Yuan W, Bian Z. Targeting neutrophils: Mechanism and advances in cancer therapy. Clin Transl Med 2024; 14:e1599. [PMID: 38450975 PMCID: PMC10918741 DOI: 10.1002/ctm2.1599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 02/03/2024] [Accepted: 02/07/2024] [Indexed: 03/08/2024] Open
Abstract
BACKGROUND Cancer is a thorny problem which cannot be conquered by mankind at present and recent researchers have put their focus on tumor microenviroment. Neutrophils, the prominent leukocytes in peripheral blood that accumulate in tumours, serves as frontline cells in response to tumour progression owing to the rapid development of micro biotechnology. Hence, targeted therapy with these neutrophils has made targeting treatment a promising field in cancer therapy. MAIN BODY We broadly summarise some studies on the phenotypes and functions of tumour-associated neutrophils as well as the unique web-like products of neutrophils that play a role in cancer progression-neutrophil extracellular traps-and the interactions between neutrophils and the tumour microenvironment. Moreover, several targeted neutrophils therapeutic studies have made some progress and provided potential strategies for the treatment of cancer. CONCLUSION This review aims to offer a holistic perspective on therapeutic interventions targeting neutrophils to further inspire more researches on cancer therapies.
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Affiliation(s)
- Shuaixi Yang
- Department of Colorectal SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouChina
| | - Jiachi Jia
- Department of Colorectal SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouChina
| | - Fuqi Wang
- Department of Colorectal SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouChina
| | - Yuhang Wang
- Department of Colorectal SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouChina
| | - Yingshuai Fang
- Department of Colorectal SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouChina
| | - Yabing Yang
- Department of Colorectal SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouChina
| | - Quanbo Zhou
- Department of Colorectal SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouChina
| | - Weitang Yuan
- Department of Colorectal SurgeryThe First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouChina
| | - Zhilei Bian
- Department of HematologyThe First Affiliated Hospital of Zhengzhou UniversityZhengzhou UniversityZhengzhouChina
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14
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Wang K, Zhang T, Li X, Zhang X, Li R, Pan B, Deng J. Identification of hub genes and potential therapeutic mechanisms related to HPV positive head and neck squamous carcinoma based on full transcriptomic detection and ceRNA network construction. Gene 2024; 910:148321. [PMID: 38428621 DOI: 10.1016/j.gene.2024.148321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Revised: 02/21/2024] [Accepted: 02/26/2024] [Indexed: 03/03/2024]
Abstract
Infection with human papillomavirus (HPV) is a major risk factor for head and neck squamous cell carcinoma (HNSCC). The objective of this study is to investigate the gene expression profiles and signaling pathways that are specific to HPV-positive HNSCC (HPV+ HNSCC). Moreover, a competing endogenous RNA (ceRNA) network analysis was utilized to identify the core gene of HPV+ HNSCC and potential targeted therapeutic drugs. Transcriptome sequencing analysis identified 3,253 coding RNAs and 3,903 non-coding RNAs (ncRNAs) that exhibited preferentially expressed in HPV+ HNSCC. Four key signaling pathways were selected through pathway enrichment analysis. By combining ceRNA network and protein-protein interaction (PPI) network topology analysis, RNA Polymerase II Associated Protein 2 (RPAP2), which also exhibited high expression in HPV+ HNSCC based on the TCGA database, was identified as the hub gene. Gene set enrichment analysis (GSEA) results revealed RPAP2's involvement in various signaling pathways, encompassing basal transcription factors, ubiquitin-mediated proteolysis, adherens junction, other glycan degradation, ATP-binding cassette (ABC) transporters, and oglycan biosynthesis. Five potential small molecule targeted drugs (enzastaurin, brequinar, talinolol, phenylbutazone, and afuresertib) were identified using the cMAP database, with enzastaurin showing the highest affinity for RPAP2. Cellular functional experiments confirmed the inhibitory effect of enzastaurin on cell viability of HPV+ HNSCC and RPAP2 expression levels. Additionally, enzastaurin treatment suppressed the expression levels of the top-ranked long non-coding RNA (lncRNA), circular RNA (circRNA), and microRNA (miRNA) in the ceRNA network. This study based on the ceRNA network provides valuable insights into the molecular mechanisms and potential therapeutic strategies for HPV+ HNSCC, and provide theoretical basis for the exploration of HPV+ HNSCC biomarkers and the development of targeted drugs.
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Affiliation(s)
- Kunpeng Wang
- The School and Hospital of Stomatology, Tianjin Medical University, Tianjin 300070, China
| | - Tingting Zhang
- The School and Hospital of Stomatology, Tianjin Medical University, Tianjin 300070, China
| | - Xia Li
- The School and Hospital of Stomatology, Tianjin Medical University, Tianjin 300070, China
| | - Xinran Zhang
- The School and Hospital of Stomatology, Tianjin Medical University, Tianjin 300070, China
| | - Rui Li
- Department of Biochemistry and Molecular Biology, Key Laboratory of Breast Cancer Prevention and Therapy, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
| | - Boyu Pan
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin's Clinical Research Center for Cancer, Tianjin 300060, China.
| | - Jiayin Deng
- The School and Hospital of Stomatology, Tianjin Medical University, Tianjin 300070, China.
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15
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Yang Y, Wang J, Wan J, Cheng Q, Cheng Z, Zhou X, Wang O, Shi K, Wang L, Wang B, Zhu X, Chen J, Feng D, Liu Y, Jahan-Mihan Y, Haddock AN, Edenfield BH, Peng G, Hohenstein JD, McCabe CE, O'Brien DR, Wang C, Ilyas SI, Jiang L, Torbenson MS, Wang H, Nakhleh RE, Shi X, Wang Y, Bi Y, Gores GJ, Patel T, Ji B. PTEN Deficiency Induces an Extrahepatic Cholangitis-Cholangiocarcinoma Continuum via Aurora kinase A in Mice. J Hepatol 2024:S0168-8278(24)00138-7. [PMID: 38428643 DOI: 10.1016/j.jhep.2024.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 02/09/2024] [Accepted: 02/18/2024] [Indexed: 03/03/2024]
Abstract
BACKGROUND & AIMS The PTEN-AKT pathway is frequently altered in extrahepatic cholangiocarcinoma (eCCA). We aim to evaluate the role of PTEN in the pathogenesis of eCCA and find novel therapies for this disease. METHODS The Pten gene in the biliary epithelial cells were genetically deleted using the Cre-loxp system. The pathologies were evaluated both macroscopically and histologically. The characteristics were further analyzed by immunohistochemistry (IHC), RT-PCR, cell culture, and RNAseq. Some features were compared to those in human eCCA samples. Further mechanistic studies utilized the conditional knockout of Trp53 and Aurora kinase A (Aurka) genes. Experimental therapy was tested using an Aurka inhibitor. RESULTS We observed that genetic deletion of the Pten gene in the extrahepatic biliary epithelium and peri-ductal glands initiated sclerosing cholangitis-like lesions in mice, resulting in enlarged and distorted extrahepatic bile ducts in mice as early as one month old. Histologically, these lesions exhibited increased epithelial proliferation, inflammatory cell infiltration, and fibrosis. With aging, the lesions progressed from low-grade dysplasia to invasive carcinoma. Trp53 inactivation further accelerated the disease progression, potentially through downregulating senescence. Further mechanistic studies showed that both human and mouse eCCA showed high expressions of AURKA. Notably, the genetic deletion of Aurka completely eliminated Pten deficiency-induced extrahepatic bile duct lesions. Furthermore, pharmacological inhibition of Aurka alleviated disease progression. CONCLUSIONS Pten deficiency in extrahepatic cholangiocytes and peribiliary glands led to a cholangitis-to-cholangiocarcinoma continuum through an Aurka-dependent manner. These findings offer new insights into preventive and therapeutic interventions for extrahepatic CCA. IMPACT AND IMPLICATIONS The aberrant PTEN-PI3K-AKT signaling pathway is commonly observed in human extrahepatic cholangiocarcinoma (eCCA), a disease with a poor prognosis. In our study, we developed a mouse model mimicking cholangitis to eCCA progression by conditionally deleting the Pten gene via Pdx1-Cre in epithelial cells and peribiliary glands of the extrahepatic biliary duct. The conditional Pten deletion in these cells led to cholangitis, which gradually advanced to dysplasia, ultimately resulting in eCCA. The loss of Pten heightened Akt signaling, cell proliferation, inflammation, fibrosis, DNA damage, epigenetic signaling, epithelial-mesenchymal transition (EMT), cell dysplasia, and cellular senescence. Genetic deletion or pharmacological inhibition of Aurka successfully halted the disease progression. This model shall be valuable for testing novel therapies and unraveling the mechanisms of eCCA tumorigenesis.
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Affiliation(s)
- Yan Yang
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA; Department of Medical Oncology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China
| | - Jiale Wang
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA
| | - Jianhua Wan
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA
| | - Qianqian Cheng
- Department of Medical Oncology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China
| | - Zenong Cheng
- Department of Pathology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China
| | - Xueli Zhou
- Department of Medical Oncology, The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China
| | - Oliver Wang
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA
| | - Kelvin Shi
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA
| | - Lingxiang Wang
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA
| | - Bin Wang
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA
| | - Xiaohui Zhu
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA
| | - Jiaxiang Chen
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA
| | - Dongfeng Feng
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA
| | - Yang Liu
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Ashley N Haddock
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA
| | | | - Guang Peng
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | | | - Chantal E McCabe
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Daniel R O'Brien
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Chen Wang
- Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA
| | - Sumera I Ilyas
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Liuyan Jiang
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, Florida, USA
| | - Michael S Torbenson
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Huamin Wang
- Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Raouf E Nakhleh
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, Florida, USA
| | - Xuemei Shi
- Greenwood Genetic Center, Greenwood, South Carolina, USA
| | - Ying Wang
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Yan Bi
- Department of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, USA
| | - Gregory J Gores
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA
| | - Tushar Patel
- Department of Transplantation, Mayo Clinic, Jacksonville, Florida, USA
| | - Baoan Ji
- Department of Cancer Biology, Mayo Clinic, Jacksonville, Florida, USA.
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Karunakaran KB, Jain S, Brahmachari SK, Balakrishnan N, Ganapathiraju MK. Parkinson's disease and schizophrenia interactomes contain temporally distinct gene clusters underlying comorbid mechanisms and unique disease processes. Schizophrenia (Heidelb) 2024; 10:26. [PMID: 38413605 PMCID: PMC10899210 DOI: 10.1038/s41537-024-00439-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 01/24/2024] [Indexed: 02/29/2024]
Abstract
Genome-wide association studies suggest significant overlaps in Parkinson's disease (PD) and schizophrenia (SZ) risks, but the underlying mechanisms remain elusive. The protein-protein interaction network ('interactome') plays a crucial role in PD and SZ and can incorporate their spatiotemporal specificities. Therefore, to study the linked biology of PD and SZ, we compiled PD- and SZ-associated genes from the DisGeNET database, and constructed their interactomes using BioGRID and HPRD. We examined the interactomes using clustering and enrichment analyses, in conjunction with the transcriptomic data of 26 brain regions spanning foetal stages to adulthood available in the BrainSpan Atlas. PD and SZ interactomes formed four gene clusters with distinct temporal identities (Disease Gene Networks or 'DGNs'1-4). DGN1 had unique SZ interactome genes highly expressed across developmental stages, corresponding to a neurodevelopmental SZ subtype. DGN2, containing unique SZ interactome genes expressed from early infancy to adulthood, correlated with an inflammation-driven SZ subtype and adult SZ risk. DGN3 contained unique PD interactome genes expressed in late infancy, early and late childhood, and adulthood, and involved in mitochondrial pathways. DGN4, containing prenatally-expressed genes common to both the interactomes, involved in stem cell pluripotency and overlapping with the interactome of 22q11 deletion syndrome (comorbid psychosis and Parkinsonism), potentially regulates neurodevelopmental mechanisms in PD-SZ comorbidity. Our findings suggest that disrupted neurodevelopment (regulated by DGN4) could expose risk windows in PD and SZ, later elevating disease risk through inflammation (DGN2). Alternatively, variant clustering in DGNs may produce disease subtypes, e.g., PD-SZ comorbidity with DGN4, and early/late-onset SZ with DGN1/DGN2.
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Affiliation(s)
- Kalyani B Karunakaran
- Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India.
- Institute for the Advanced Study of Human Biology, Kyoto University, Kyoto, Japan.
| | - Sanjeev Jain
- National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, India.
| | | | - N Balakrishnan
- Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India
| | - Madhavi K Ganapathiraju
- Department of Computer Science, Carnegie Mellon University Qatar, Doha, Qatar.
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
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17
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Cao L, Ouyang H. Intercellular crosstalk between cancer cells and cancer-associated fibroblasts via exosomes in gastrointestinal tumors. Front Oncol 2024; 14:1374742. [PMID: 38463229 PMCID: PMC10920350 DOI: 10.3389/fonc.2024.1374742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 02/08/2024] [Indexed: 03/12/2024] Open
Abstract
Gastrointestinal (GI) tumors are a significant global health threat, with high rates of morbidity and mortality. Exosomes contain various biologically active molecules like nucleic acids, proteins, and lipids and can serve as messengers for intercellular communication. They play critical roles in the exchange of information between tumor cells and the tumor microenvironment (TME). The TME consists of mesenchymal cells and components of the extracellular matrix (ECM), with fibroblasts being the most abundant cell type in the tumor mesenchyme. Cancer-associated fibroblasts (CAFs) are derived from normal fibroblasts and mesenchymal stem cells that are activated in the TME. CAFs can secrete exosomes to modulate cell proliferation, invasion, migration, drug resistance, and other biological processes in tumors. Additionally, tumor cells can manipulate the function and behavior of fibroblasts through direct cell-cell interactions. This review provides a summary of the intercellular crosstalk between GI tumor cells and CAFs through exosomes, along with potential underlying mechanisms.
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Affiliation(s)
- Longyang Cao
- Department of Gastroenterology, The First Peoples' Hospital of Hangzhou Linan District, Hangzhou, China
| | - Hong Ouyang
- Department of Gastroenterology, The First Peoples' Hospital of Hangzhou Linan District, Hangzhou, China
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18
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Borisevich SS, Aksinina TE, Ilyina MG, Shender VO, Anufrieva KS, Arapidi GP, Antipova NV, Anizon F, Esvan YJ, Giraud F, Tatarskiy VV, Moreau P, Shakhparonov MI, Pavlyukov MS, Shtil AA. The Nitro Group Reshapes the Effects of Pyrido[3,4- g]quinazoline Derivatives on DYRK/CLK Activity and RNA Splicing in Glioblastoma Cells. Cancers (Basel) 2024; 16:834. [PMID: 38398225 PMCID: PMC10886777 DOI: 10.3390/cancers16040834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 02/10/2024] [Accepted: 02/15/2024] [Indexed: 02/25/2024] Open
Abstract
Serine-threonine protein kinases of the DYRK and CLK families regulate a variety of vital cellular functions. In particular, these enzymes phosphorylate proteins involved in pre-mRNA splicing. Targeting splicing with pharmacological DYRK/CLK inhibitors emerged as a promising anticancer strategy. Investigation of the pyrido[3,4-g]quinazoline scaffold led to the discovery of DYRK/CLK binders with differential potency against individual enzyme isoforms. Exploring the structure-activity relationship within this chemotype, we demonstrated that two structurally close compounds, pyrido[3,4-g]quinazoline-2,10-diamine 1 and 10-nitro pyrido[3,4-g]quinazoline-2-amine 2, differentially inhibited DYRK1-4 and CLK1-3 protein kinases in vitro. Unlike compound 1, compound 2 efficiently inhibited DYRK3 and CLK4 isoenzymes at nanomolar concentrations. Quantum chemical calculations, docking and molecular dynamic simulations of complexes of 1 and 2 with DYRK3 and CLK4 identified a dramatic difference in electron donor-acceptor properties critical for preferential interaction of 2 with these targets. Subsequent transcriptome and proteome analyses of patient-derived glioblastoma (GBM) neurospheres treated with 2 revealed that this compound impaired CLK4 interactions with spliceosomal proteins, thereby altering RNA splicing. Importantly, 2 affected the genes that perform critical functions for cancer cells including DNA damage response, p53 signaling and transcription. Altogether, these results provide a mechanistic basis for the therapeutic efficacy of 2 previously demonstrated in in vivo GBM models.
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Affiliation(s)
- Sophia S Borisevich
- Ufa Institute of Chemistry, Ufa Federal Research Center of the Russian Academy of Sciences, Ufa 450054, Russia
- Institute of Cyber Intelligence Systems, National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - Tatiana E Aksinina
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow 117997, Russia
| | - Margarita G Ilyina
- Ufa Institute of Chemistry, Ufa Federal Research Center of the Russian Academy of Sciences, Ufa 450054, Russia
- Institute of Cyber Intelligence Systems, National Research Nuclear University MEPhI, Moscow 115409, Russia
| | - Victoria O Shender
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow 117997, Russia
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of the Federal Medical and Biological Agency, Moscow 119435, Russia
| | - Ksenia S Anufrieva
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of the Federal Medical and Biological Agency, Moscow 119435, Russia
| | - Georgij P Arapidi
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow 117997, Russia
- Lopukhin Federal Research and Clinical Center of Physical-Chemical Medicine of the Federal Medical and Biological Agency, Moscow 119435, Russia
| | - Nadezhda V Antipova
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow 117997, Russia
| | - Fabrice Anizon
- Université Clermont Auvergne, Centre National de la Recherche Scientifique, Clermont Auvergne Institut National Polytechnique, Institute of Chemistry of Clermont-Ferrand, F-63000 Clermont-Ferrand, France
| | - Yannick J Esvan
- Université Clermont Auvergne, Centre National de la Recherche Scientifique, Clermont Auvergne Institut National Polytechnique, Institute of Chemistry of Clermont-Ferrand, F-63000 Clermont-Ferrand, France
| | - Francis Giraud
- Université Clermont Auvergne, Centre National de la Recherche Scientifique, Clermont Auvergne Institut National Polytechnique, Institute of Chemistry of Clermont-Ferrand, F-63000 Clermont-Ferrand, France
| | - Victor V Tatarskiy
- Institute of Gene Biology, Russian Academy of Sciences, Moscow 119334, Russia
| | - Pascale Moreau
- Université Clermont Auvergne, Centre National de la Recherche Scientifique, Clermont Auvergne Institut National Polytechnique, Institute of Chemistry of Clermont-Ferrand, F-63000 Clermont-Ferrand, France
| | - Mikhail I Shakhparonov
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow 117997, Russia
| | - Marat S Pavlyukov
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow 117997, Russia
| | - Alexander A Shtil
- Blokhin National Medical Research Center of Oncology, Moscow 115522, Russia
- Department of Chemistry, Moscow State University, Moscow 119234, Russia
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19
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Saleem A, Khan MU, Zahid T, Khurram I, Ghani MU, Ullah I, Munir R, Calina D, Sharifi-Rad J. Biological role and regulation of circular RNA as an emerging biomarker and potential therapeutic target for cancer. Mol Biol Rep 2024; 51:296. [PMID: 38340202 DOI: 10.1007/s11033-024-09211-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 01/04/2024] [Indexed: 02/12/2024]
Abstract
Circular RNAs (circRNAs) are a unique family of endogenous RNAs devoid of 3' poly-A tails and 5' end caps. These single-stranded circRNAs, found in the cytoplasm, are synthesized via back-splicing mechanisms, merging introns, exons, or both, resulting in covalently closed circular loops. They are profusely expressed across the eukaryotic transcriptome and offer heightened stability against exonuclease RNase R compared to linear RNA counterparts. This review endeavors to provide a comprehensive overview of circRNAs' characteristics, biogenesis, and mechanisms of action. Furthermore, aimed to shed light on the potential of circRNAs as significant biomarkers in various cancer types. It has been performed an exhaustive literature review, drawing on recent studies and findings related to circRNA characteristics, synthesis, function, evaluation techniques, and their associations with oncogenesis. CircRNAs are intricately associated with tumor progression and development. Their multifaceted roles encompass gene regulation through the sponging of proteins and microRNAs, controlling transcription and splicing, interacting with RNA binding proteins (RBPs), and facilitating gene translation. Due to these varied roles, circRNAs have become a focal point in tumor pathology investigations, given their promising potential as both biomarkers and therapeutic agents. CircRNAs, due to their unique biogenesis and multifunctionality, hold immense promise in the realm of oncology. Their stability, widespread expression, and intricate involvement in gene regulation underscore their prospective utility as reliable biomarkers and therapeutic targets in cancer. As our understanding of circRNAs deepens, advanced techniques for their detection, evaluation, and manipulation will likely emerge. These advancements might catalyze the translation of circRNA-based diagnostics and therapeutics into clinical practice, potentially revolutionizing cancer care and prognosis.
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Affiliation(s)
- Ayman Saleem
- Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan
| | - Muhammad Umer Khan
- Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan.
| | - Tazeen Zahid
- Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan
| | - Iqra Khurram
- Centre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan
| | - Muhammad Usman Ghani
- Centre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan
| | - Inam Ullah
- Institute of Molecular Biology and Biotechnology, The University of Lahore, Lahore, Pakistan
| | - Rakhtasha Munir
- Centre for Applied Molecular Biology, University of the Punjab, Lahore, Pakistan
| | - Daniela Calina
- Department of Clinical Pharmacy, University of Medicine and Pharmacy of Craiova, 200349, Craiova, Romania.
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20
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Zhu W, Gui X, Zhou Y, Gao X, Zhang R, Li Q, Zhang H, Zhao J, Cui X, Gao G, Tang H, Huan C, Pan D, Song H, Zhou Z, Shen W. Aurora kinase B disruption suppresses pathological retinal angiogenesis by affecting cell cycle progression. Exp Eye Res 2024; 239:109753. [PMID: 38142764 DOI: 10.1016/j.exer.2023.109753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 11/19/2023] [Accepted: 12/11/2023] [Indexed: 12/26/2023]
Abstract
PURPOSE The detrimental effects of pathological angiogenesis on the visual function are indisputable. Within a prominent role in chromosome segregation and tumor progression, aurora kinase B (AURKB) assumes a prominent role. However, its role in pathological retinal angiogenesis remains unclear. This study explores this latent mechanism. METHODS To inhibit AURKB expression, we designed specific small interfering RNAs targeting AURKB and transfected them into vascular endothelial cells. Barasertib was selected as the AURKB inhibitor. The anti-angiogenic effects of both AURKB siRNA and barasertib were assessed in vitro by cell proliferation, transwell migration, and tube formation. To evaluate the angiogentic effects of AURKB in vivo, neonatal mice were exposed to 75% oxygen followed by normoxic repositioning to establish an oxygen-induced retinopathy (OIR) model. Subsequently, phosphate-buffered saline and barasertib were administered into OIR mice via intravitreal injection. The effects of AURKB on cell cycle proteins were determined by western blot analysis. RESULTS We found that AURKB was overexpressed during pathological angiogenesis. AURKB siRNA and barasertib significantly inhibited endothelial cell proliferation, migration, and tube formation in vitro. Furthermore, AURKB inhibition attenuated retinal angiogenesis in the OIR model. A possible mechanism is the disruption of cell cycle by AURKB inhibition. CONCLUSION In conclusion, AURKB significantly influenced pathological retinal angiogenesis, thereby presenting a promising therapeutic target in ocular neovascular diseases.
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Affiliation(s)
- Weiye Zhu
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Xiao Gui
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Yukun Zhou
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Xin Gao
- Department of Ophthalmology, 92493 Hospital, Huludao, 125004, China; Department of Ophthalmology, PLA Naval Medical Center, Shanghai, 200050, China
| | - Rui Zhang
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Qing Li
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Haorui Zhang
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Jiawei Zhao
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Xiao Cui
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Guangping Gao
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Huipeng Tang
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Chenyang Huan
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Dongyan Pan
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Hongyuan Song
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China
| | - Zhe Zhou
- Department of Ophthalmology, PLA Naval Medical Center, Shanghai, 200050, China.
| | - Wei Shen
- Department of Ophthalmology, Shanghai Changhai Hospital, Shanghai, 200433, China.
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21
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Ouchida T, Suzuki H, Tanaka T, Kaneko MK, Kato Y. Cx 4Mab-1: A Novel Anti-Mouse CXCR4 Monoclonal Antibody for Flow Cytometry. Monoclon Antib Immunodiagn Immunother 2024; 43:10-16. [PMID: 38126879 DOI: 10.1089/mab.2023.0023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Abstract
The CXC chemokine receptor 4 (CXCR4, CD184) is a member of the G protein-coupled receptor family that is expressed in most leukocytes. Overexpression of CXCR4 is associated with poor prognosis in not only hematopoietic malignancy but also solid tumors. Because CXCR4 is an attractive target for tumor therapy, reliable preclinical murine models using anti-CXCR4 monoclonal antibodies (mAbs) have been warranted. This study established a novel anti-mouse CXCR4 (mCXCR4) mAb using the Cell-Based Immunization and Screening method. Flow cytometric analysis showed that an anti-mCXCR4 mAb, Cx4Mab-1 (rat IgG2a, kappa), recognized mCXCR4-overexpressed Chinese hamster ovary-K1 (CHO/mCXCR4) cells and endogenously mCXCR4-expressing mouse myeloma P3X63Ag8U.1 (P3U1) cells. Furthermore, Cx4Mab-1 did not recognize mCXCR4-knockout P3U1 cells. The dissociation constants of Cx4Mab-1 for CHO/mCXCR4 and P3U1 were determined as 6.4 × 10-9 M and 2.3 × 10-9 M, respectively, indicating that Cx4Mab-1 possesses a high affinity to both endogenous and exogenous mCXCR4-expressing cells. These results indicate that Cx4Mab-1 could be a useful tool for preclinical mouse models.
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Affiliation(s)
- Tsunenori Ouchida
- Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Hiroyuki Suzuki
- Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Tomohiro Tanaka
- Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Mika K Kaneko
- Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Yukinari Kato
- Department of Antibody Drug Development, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
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Abstract
PURPOSE Human papillomavirus (HPV) infection is the most common sexually transmitted disease, in males and females worldwide. While the role of HPV in female diseases is well known and largely studied, males have negligibly been included in these programs, also because the proportion of women suffering and dying from HPV-related diseases is much larger than men. The aim of this review is to focus on HPV-related diseases in male patients. METHODS We performed a literature analysis on the electronic database PubMed. We considered randomized trials, observational and retrospective studies, original articles having as topic the relationship between HPV male infection and the following items: oral, anal penile cancers, warts, condylomas, male infertility, altered sperm parameters, anti-sperm antibodies (ASA). We also included experimental in vitro studies focused on the effects of HPV infection on oocyte fertilization, blastocyst development, and trophoblastic cell invasiveness. In addition, studies describing the adjuvant administration of the HPV vaccination as a possible strategy to promote HPV clearance from semen in infected males were included. RESULTS Regarding head and neck HPV-related diseases, the most important non-neoplastic disease is recurrent respiratory papillomatosis (RRP). Regarding neoplastic diseases, the proportion of head and neck cancers attributable to HPV has increased dramatically worldwide. In addition, nowadays, it is thought that half of head and neck squamous cell carcinomas (HNSCCs) cases in the United States are caused by infection with high-risk HPV. HPV is noteworthy in andrological practice too. It was described as having a high HPV prevalence, ranging between 50 and 70%, in male penile shaft, glans penis/coronal sulcus, semen as well as in scrotal, perianal, and anal regions. Moreover, in male patients, HPV infection has been associated, among other diseases, with penile cancers. HPV semen infection has been reported in about 10% in men from the general population and about 16% in men with unexplained infertility, although these data seem widely underestimated according to clinical experience. In particular, HPV semen infection seems to be most related to asthenozoospermia and to anti-sperm antibodies (ASAs). CONCLUSIONS HPV infection represents a health problem with a detrimental social and public impact. Despite this evidence, little has been done to date to widely promote vaccination among young males.
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Affiliation(s)
- A Garolla
- Unit of Andrology and Reproductive Medicine, Department of Medicine, University of Padova, Padua, Italy.
| | - A Graziani
- Unit of Andrology and Reproductive Medicine, Department of Medicine, University of Padova, Padua, Italy
| | - G Grande
- Unit of Andrology and Reproductive Medicine, Department of Medicine, University of Padova, Padua, Italy
| | - C Ortolani
- Section of Otolaryngology, Department of Neurosciences, University of Padova, Padua, Italy
| | - A Ferlin
- Unit of Andrology and Reproductive Medicine, Department of Medicine, University of Padova, Padua, Italy
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Xiong D, Qiu Y, Zhao J, Zhou Y, Lee D, Gupta S, Torres M, Lu W, Liang S, Kang JJ, Eng C, Loscalzo J, Cheng F, Yu H. Structurally-informed human interactome reveals proteome-wide perturbations by disease mutations. bioRxiv 2024:2023.04.24.538110. [PMID: 37162909 PMCID: PMC10168245 DOI: 10.1101/2023.04.24.538110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Human genome sequencing studies have identified numerous loci associated with complex diseases. However, translating human genetic and genomic findings to disease pathobiology and therapeutic discovery remains a major challenge at multiscale interactome network levels. Here, we present a deep-learning-based ensemble framework, termed PIONEER (Protein-protein InteractiOn iNtErfacE pRediction), that accurately predicts protein binding partner-specific interfaces for all known protein interactions in humans and seven other common model organisms, generating comprehensive structurally-informed protein interactomes. We demonstrate that PIONEER outperforms existing state-of-the-art methods. We further systematically validated PIONEER predictions experimentally through generating 2,395 mutations and testing their impact on 6,754 mutation-interaction pairs, confirming the high quality and validity of PIONEER predictions. We show that disease-associated mutations are enriched in PIONEER-predicted protein-protein interfaces after mapping mutations from ~60,000 germline exomes and ~36,000 somatic genomes. We identify 586 significant protein-protein interactions (PPIs) enriched with PIONEER-predicted interface somatic mutations (termed oncoPPIs) from pan-cancer analysis of ~11,000 tumor whole-exomes across 33 cancer types. We show that PIONEER-predicted oncoPPIs are significantly associated with patient survival and drug responses from both cancer cell lines and patient-derived xenograft mouse models. We identify a landscape of PPI-perturbing tumor alleles upon ubiquitination by E3 ligases, and we experimentally validate the tumorigenic KEAP1-NRF2 interface mutation p.Thr80Lys in non-small cell lung cancer. We show that PIONEER-predicted PPI-perturbing alleles alter protein abundance and correlates with drug responses and patient survival in colon and uterine cancers as demonstrated by proteogenomic data from the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium. PIONEER, implemented as both a web server platform and a software package, identifies functional consequences of disease-associated alleles and offers a deep learning tool for precision medicine at multiscale interactome network levels.
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Affiliation(s)
- Dapeng Xiong
- Department of Computational Biology, Cornell University, Ithaca, NY 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Center for Innovative Proteomics, Cornell University, Ithaca, NY 14853, USA
| | - Yunguang Qiu
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Junfei Zhao
- Department of Systems Biology, Herbert Irving Comprehensive Center, Columbia University, New York, NY 10032, USA
| | - Yadi Zhou
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Dongjin Lee
- Department of Computational Biology, Cornell University, Ithaca, NY 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
| | - Shobhita Gupta
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Center for Innovative Proteomics, Cornell University, Ithaca, NY 14853, USA
- Biophysics Program, Cornell University, Ithaca, NY 14853, USA
| | - Mateo Torres
- Department of Computational Biology, Cornell University, Ithaca, NY 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Center for Innovative Proteomics, Cornell University, Ithaca, NY 14853, USA
| | - Weiqiang Lu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Siqi Liang
- Department of Computational Biology, Cornell University, Ithaca, NY 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
| | - Jin Joo Kang
- Department of Computational Biology, Cornell University, Ithaca, NY 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Center for Innovative Proteomics, Cornell University, Ithaca, NY 14853, USA
| | - Charis Eng
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Joseph Loscalzo
- Channing Division of Network Medicine, Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Feixiong Cheng
- Genomic Medicine Institute, Lerner Research Institute, Cleveland Clinic, Cleveland, OH 44195, USA
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH 44195, USA
- Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Haiyuan Yu
- Department of Computational Biology, Cornell University, Ithaca, NY 14853, USA
- Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
- Center for Innovative Proteomics, Cornell University, Ithaca, NY 14853, USA
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Dehghan A, Abbasi K, Razzaghi P, Banadkuki H, Gharaghani S. CCL-DTI: contributing the contrastive loss in drug-target interaction prediction. BMC Bioinformatics 2024; 25:48. [PMID: 38291364 DOI: 10.1186/s12859-024-05671-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 01/22/2024] [Indexed: 02/01/2024] Open
Abstract
BACKGROUND The Drug-Target Interaction (DTI) prediction uses a drug molecule and a protein sequence as inputs to predict the binding affinity value. In recent years, deep learning-based models have gotten more attention. These methods have two modules: the feature extraction module and the task prediction module. In most deep learning-based approaches, a simple task prediction loss (i.e., categorical cross entropy for the classification task and mean squared error for the regression task) is used to learn the model. In machine learning, contrastive-based loss functions are developed to learn more discriminative feature space. In a deep learning-based model, extracting more discriminative feature space leads to performance improvement for the task prediction module. RESULTS In this paper, we have used multimodal knowledge as input and proposed an attention-based fusion technique to combine this knowledge. Also, we investigate how utilizing contrastive loss function along the task prediction loss could help the approach to learn a more powerful model. Four contrastive loss functions are considered: (1) max-margin contrastive loss function, (2) triplet loss function, (3) Multi-class N-pair Loss Objective, and (4) NT-Xent loss function. The proposed model is evaluated using four well-known datasets: Wang et al. dataset, Luo's dataset, Davis, and KIBA datasets. CONCLUSIONS Accordingly, after reviewing the state-of-the-art methods, we developed a multimodal feature extraction network by combining protein sequences and drug molecules, along with protein-protein interaction networks and drug-drug interaction networks. The results show it performs significantly better than the comparable state-of-the-art approaches.
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Affiliation(s)
- Alireza Dehghan
- Department of Bioinformatics, Kish International Campus, University of Tehran, Kish, 1417614411, Iran
| | - Karim Abbasi
- Laboratory of System Biology, Bioinformatics and Artificial Intelligence in Medicine (LBB&AI), Faculty of Mathematics and Computer Science, Kharazmi University, Tehran, 1417614411, Iran
| | - Parvin Razzaghi
- Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, 4513766731, Iran.
| | - Hossein Banadkuki
- Laboratory of Bioinformatics and Drug Design (LBD), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, 1417614411, Iran
| | - Sajjad Gharaghani
- Laboratory of Bioinformatics and Drug Design (LBD), Institute of Biochemistry and Biophysics, University of Tehran, Tehran, 1417614411, Iran.
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Duman ET, Tuna G, Ak E, Avsar G, Pir P. Optimized network based natural language processing approach to reveal disease comorbidities in COVID-19. Sci Rep 2024; 14:2325. [PMID: 38282038 PMCID: PMC10822845 DOI: 10.1038/s41598-024-52819-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 01/24/2024] [Indexed: 01/30/2024] Open
Abstract
A novel virus emerged from Wuhan, China, at the end of 2019 and quickly evolved into a pandemic, significantly impacting various industries, especially healthcare. One critical lesson from COVID-19 is the importance of understanding and predicting underlying comorbidities to better prioritize care and pharmacological therapies. Factors like age, race, and comorbidity history are crucial in determining disease mortality. While clinical data from hospitals and cohorts have led to the identification of these comorbidities, traditional approaches often lack a mechanistic understanding of the connections between them. In response, we utilized a deep learning approach to integrate COVID-19 data with data from other diseases, aiming to detect comorbidities with mechanistic insights. Our modified algorithm in the mpDisNet package, based on word-embedding deep learning techniques, incorporates miRNA expression profiles from SARS-CoV-2 infected cell lines and their target transcription factors. This approach is aligned with the emerging field of network medicine, which seeks to define diseases based on distinct pathomechanisms rather than just phenotypes. The main aim is discovery of possible unknown comorbidities by connecting the diseases by their miRNA mediated regulatory interactions. The algorithm can predict the majority of COVID-19's known comorbidities, as well as several diseases that have yet to be discovered to be comorbid with COVID-19. These potentially comorbid diseases should be investigated further to raise awareness and prevention, as well as informing the comorbidity research for the next possible outbreak.
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Affiliation(s)
- Emre Taylan Duman
- Department of Bioengineering, Gebze Technical University, Kocaeli, Turkey.
- NGS-Core Unit for Integrative Genomics, Institute of Pathology, University Medical Center Göttingen, Göttingen, Germany.
| | - Gizem Tuna
- Department of Molecular Biology, Gebze Technical University, Kocaeli, Turkey
| | - Enes Ak
- Department of Bioengineering, Gebze Technical University, Kocaeli, Turkey
| | - Gülben Avsar
- Department of Bioengineering, Gebze Technical University, Kocaeli, Turkey
| | - Pinar Pir
- Department of Bioengineering, Gebze Technical University, Kocaeli, Turkey
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26
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Kong X, Diao L, Jiang P, Nie S, Guo S, Li D. DDK-Linker: a network-based strategy identifies disease signals by linking high-throughput omics datasets to disease knowledge. Brief Bioinform 2024; 25:bbae111. [PMID: 38517698 PMCID: PMC10959161 DOI: 10.1093/bib/bbae111] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/26/2024] [Accepted: 02/27/2024] [Indexed: 03/24/2024] Open
Abstract
The high-throughput genomic and proteomic scanning approaches allow investigators to measure the quantification of genome-wide genes (or gene products) for certain disease conditions, which plays an essential role in promoting the discovery of disease mechanisms. The high-throughput approaches often generate a large gene list of interest (GOIs), such as differentially expressed genes/proteins. However, researchers have to perform manual triage and validation to explore the most promising, biologically plausible linkages between the known disease genes and GOIs (disease signals) for further study. Here, to address this challenge, we proposed a network-based strategy DDK-Linker to facilitate the exploration of disease signals hidden in omics data by linking GOIs to disease knowns genes. Specifically, it reconstructed gene distances in the protein-protein interaction (PPI) network through six network methods (random walk with restart, Deepwalk, Node2Vec, LINE, HOPE, Laplacian) to discover disease signals in omics data that have shorter distances to disease genes. Furthermore, benefiting from the establishment of knowledge base we established, the abundant bioinformatics annotations were provided for each candidate disease signal. To assist in omics data interpretation and facilitate the usage, we have developed this strategy into an application that users can access through a website or download the R package. We believe DDK-Linker will accelerate the exploring of disease genes and drug targets in a variety of omics data, such as genomics, transcriptomics and proteomics data, and provide clues for complex disease mechanism and pharmacological research. DDK-Linker is freely accessible at http://ddklinker.ncpsb.org.cn/.
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Affiliation(s)
- Xiangren Kong
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Lihong Diao
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Peng Jiang
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Shiyan Nie
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Shuzhen Guo
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China
| | - Dong Li
- State Key Laboratory of Medical Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
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Wang W, Li W, Zhang D, Mi Y, Zhang J, He G. The Causal Relationship between PCSK9 Inhibitors and Malignant Tumors: A Mendelian Randomization Study Based on Drug Targeting. Genes (Basel) 2024; 15:132. [PMID: 38275613 PMCID: PMC10815165 DOI: 10.3390/genes15010132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/10/2024] [Accepted: 01/19/2024] [Indexed: 01/27/2024] Open
Abstract
Objective: This study explores the potential causal association between proprotein convertase subtilisin/kexin 9 (PCSK9) inhibitors and tumor development using Mendelian randomization (MR) based on drug targets. Methods: Instrumental variables within ±100 kb of the PCSK9 gene locus, impacting low-density lipoprotein cholesterol (LDL-C), were utilized for MR analysis. Coronary heart disease (CHD) served as a positive control to validate the causal relationship between PCSK9 inhibitors and various cancers. We employed reverse MR to address the reverse causation concerns. Data from positive controls and tumors were sourced from OpenGWAS. Results: MR analysis suggested a negative causal relationship between PCSK9 inhibitors and both breast and lung cancers (95%CIBreast cancer 0.81~0.99, p = 2.25 × 10-2; 95%CILung cancer 0.65~0.94, p = 2.55 × 10-3). In contrast, a positive causal link was observed with gastric, hepatic, and oral pharyngeal cancers and cervical intraepithelial neoplasia (95%CIGastric cancer 1.14~1.75, p = 1.88 × 10-2; 95%CIHepatic cancer 1.46~2.53, p = 1.16 × 10-2; 95%CIOral cavity and pharyngeal cancer 4.49~6.33, p = 3.36 × 10-4; 95%CICarcinoma in situ of cervix uteri 4.56~7.12, p = 6.91 × 10-3), without heterogeneity or pleiotropy (p > 0.05). Sensitivity analyses confirmed these findings. The results of MR of drug targets suggested no causal relationship between PCSK9 inhibitors and bladder cancer, thyroid cancer, pancreatic cancer, colorectal cancer, malignant neoplasms of the kidney (except for renal pelvis tumors), malignant neoplasms of the brain, and malignant neoplasms of the esophagus (p > 0.05). Reverse MR helped mitigate reverse causation effects. Conclusions: The study indicates a divergent causal relationship of PCSK9 inhibitors with certain cancers. While negatively associated with breast and lung cancers, a positive causal association was observed with gastric, hepatic, oral cavity, and pharyngeal cancers and cervical carcinoma in situ. No causal links were found with bladder, thyroid, pancreatic, colorectal, certain kidney, brain, and esophageal cancers.
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Affiliation(s)
- Wenxin Wang
- Department of Pathology, Xinxiang Medical University, Xinxiang 453003, China; (W.W.); (D.Z.); (J.Z.)
| | - Wei Li
- School of Forensic Medicine, Xinxiang Medical University, Xinxiang 453003, China; (W.L.); (Y.M.)
| | - Dan Zhang
- Department of Pathology, Xinxiang Medical University, Xinxiang 453003, China; (W.W.); (D.Z.); (J.Z.)
| | - Yongrun Mi
- School of Forensic Medicine, Xinxiang Medical University, Xinxiang 453003, China; (W.L.); (Y.M.)
| | - Jingyu Zhang
- Department of Pathology, Xinxiang Medical University, Xinxiang 453003, China; (W.W.); (D.Z.); (J.Z.)
| | - Guoyang He
- Department of Pathology, Xinxiang Medical University, Xinxiang 453003, China; (W.W.); (D.Z.); (J.Z.)
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Barbosa S, Laureano NK, Hadiwikarta WW, Visioli F, Bonrouhi M, Pajdzik K, Conde-Lopez C, Herold-Mende C, Eidt G, Langie R, Lamers ML, Stögbauer F, Hess J, Kurth I, Jou A. The Role of SOX2 and SOX9 in Radioresistance and Tumor Recurrence. Cancers (Basel) 2024; 16:439. [PMID: 38275880 PMCID: PMC10814462 DOI: 10.3390/cancers16020439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 12/28/2023] [Accepted: 01/13/2024] [Indexed: 01/27/2024] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) exhibits considerable variability in patient outcome. It has been reported that SOX2 plays a role in proliferation, tumor growth, drug resistance, and metastasis in a variety of cancer types. Additionally, SOX9 has been implicated in immune tolerance and treatment failures. SOX2 and SOX9 induce treatment failure by a molecular mechanism that has not yet been elucidated. This study explores the inverse association of SOX2/SOX9 and their distinct expression in tumors, influencing the tumor microenvironment and radiotherapy responses. Through public RNA sequencing data, human biopsy samples, and knockdown cellular models, we explored the effects of inverted SOX2 and SOX9 expression. We found that patients expressing SOX2LowSOX9High showed decreased survival compared to SOX2HighSOX9Low. A survival analysis of patients stratified by radiotherapy and human papillomavirus brings additional clinical relevance. We identified a gene set signature comprising newly discovered candidate genes resulting from inverted SOX2/SOX9 expression. Moreover, the TGF-β pathway emerges as a significant predicted contributor to the overexpression of these candidate genes. In vitro findings reveal that silencing SOX2 enhances tumor radioresistance, while SOX9 silencing enhances radiosensitivity. These discoveries lay the groundwork for further studies on the therapeutic potential of transcription factors in optimizing HNSCC treatment.
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Affiliation(s)
- Silvia Barbosa
- Division of Radiooncology/Radiobiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Otolaryngology, Head and Neck Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Department of Morphological Sciences, Institute of Basic Health Science, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 90035-003, RS, Brazil
| | - Natalia Koerich Laureano
- Division of Radiooncology/Radiobiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Otolaryngology, Head and Neck Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
- Department of Oral Pathology, Faculty of Dental Sciences, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 90035-004, RS, Brazil
| | - Wahyu Wijaya Hadiwikarta
- Division of Radiooncology/Radiobiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- German Cancer Consortium (DKTK), Core Center Heidelberg, 69120 Heidelberg, Germany
| | - Fernanda Visioli
- Department of Oral Pathology, Faculty of Dental Sciences, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 90035-004, RS, Brazil
| | - Mahnaz Bonrouhi
- Division of Radiooncology/Radiobiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Kinga Pajdzik
- Department of Otolaryngology, Head and Neck Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Cristina Conde-Lopez
- Division of Radiooncology/Radiobiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Christel Herold-Mende
- Department of Neurosurgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Gustavo Eidt
- Division of Radiooncology/Radiobiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Renan Langie
- Division of Radiooncology/Radiobiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Department of Oral Pathology, Faculty of Dental Sciences, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 90035-004, RS, Brazil
| | - Marcelo Lazzaron Lamers
- Department of Morphological Sciences, Institute of Basic Health Science, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre 90035-003, RS, Brazil
| | - Fabian Stögbauer
- Tissue Bank of the National Center for Tumor Diseases (NCT) Heidelberg, Germany and Institute of Pathology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Institute of Pathology, School of Medicine, Technical University of Munich (TUM), 80337 Munich, Germany
| | - Jochen Hess
- Department of Otolaryngology, Head and Neck Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
| | - Ina Kurth
- Division of Radiooncology/Radiobiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- German Cancer Consortium (DKTK), Core Center Heidelberg, 69120 Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), 69120 Heidelberg, Germany
| | - Adriana Jou
- Molecular Mechanisms of Head and Neck Tumors, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Faculty of Dentistry, Institute of Toxicology and Pharmacology, Pontifícial Catholic University of Rio Grande do Sul (PUCRS), Porto Alegre 90619-900, RS, Brazil
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Hu C, Mi W, Li F, Zhu L, Ou Q, Li M, Li T, Ma Y, Zhang Y, Xu Y. Optimizing drug combination and mechanism analysis based on risk pathway crosstalk in pan cancer. Sci Data 2024; 11:74. [PMID: 38228620 PMCID: PMC10791624 DOI: 10.1038/s41597-024-02915-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 01/03/2024] [Indexed: 01/18/2024] Open
Abstract
Combination therapy can greatly improve the efficacy of cancer treatment, so identifying the most effective drug combination and interaction can accelerate the development of combination therapy. Here we developed a computational network biological approach to identify the effective drug which inhibition risk pathway crosstalk of cancer, and then filtrated and optimized the drug combination for cancer treatment. We integrated high-throughput data concerning pan-cancer and drugs to construct miRNA-mediated crosstalk networks among cancer pathways and further construct networks for therapeutic drug. Screening by drug combination method, we obtained 687 optimized drug combinations of 83 first-line anticancer drugs in pan-cancer. Next, we analyzed drug combination mechanism, and confirmed that the targets of cancer-specific crosstalk network in drug combination were closely related to cancer prognosis by survival analysis. Finally, we save all the results to a webpage for query ( http://bio-bigdata.hrbmu.edu.cn/oDrugCP/ ). In conclusion, our study provided an effective method for screening precise drug combinations for various cancer treatments, which may have important scientific significance and clinical application value for tumor treatment.
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Affiliation(s)
- Congxue Hu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Wanqi Mi
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Feng Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Lun Zhu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Qi Ou
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Maohao Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Tengyue Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Yuheng Ma
- Department of Pharmacy, Inner Mongolia Medical University, Jinshan Development Zone, Hohhot, 010100, China
| | - Yunpeng Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China
| | - Yingqi Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
- Department of Pharmacy, Inner Mongolia Medical University, Jinshan Development Zone, Hohhot, 010100, China.
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Bao X, Liang Y, Chang H, Cai T, Feng B, Gordon K, Zhu Y, Shi H, He Y, Xie L. Targeting proprotein convertase subtilisin/kexin type 9 (PCSK9): from bench to bedside. Signal Transduct Target Ther 2024; 9:13. [PMID: 38185721 PMCID: PMC10772138 DOI: 10.1038/s41392-023-01690-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 09/27/2023] [Accepted: 10/27/2023] [Indexed: 01/09/2024] Open
Abstract
Proprotein convertase subtilisin/kexin type 9 (PCSK9) has evolved as a pivotal enzyme in lipid metabolism and a revolutionary therapeutic target for hypercholesterolemia and its related cardiovascular diseases (CVD). This comprehensive review delineates the intricate roles and wide-ranging implications of PCSK9, extending beyond CVD to emphasize its significance in diverse physiological and pathological states, including liver diseases, infectious diseases, autoimmune disorders, and notably, cancer. Our exploration offers insights into the interaction between PCSK9 and low-density lipoprotein receptors (LDLRs), elucidating its substantial impact on cholesterol homeostasis and cardiovascular health. It also details the evolution of PCSK9-targeted therapies, translating foundational bench discoveries into bedside applications for optimized patient care. The advent and clinical approval of innovative PCSK9 inhibitory therapies (PCSK9-iTs), including three monoclonal antibodies (Evolocumab, Alirocumab, and Tafolecimab) and one small interfering RNA (siRNA, Inclisiran), have marked a significant breakthrough in cardiovascular medicine. These therapies have demonstrated unparalleled efficacy in mitigating hypercholesterolemia, reducing cardiovascular risks, and have showcased profound value in clinical applications, offering novel therapeutic avenues and a promising future in personalized medicine for cardiovascular disorders. Furthermore, emerging research, inclusive of our findings, unveils PCSK9's potential role as a pivotal indicator for cancer prognosis and its prospective application as a transformative target for cancer treatment. This review also highlights PCSK9's aberrant expression in various cancer forms, its association with cancer prognosis, and its crucial roles in carcinogenesis and cancer immunity. In conclusion, this synthesized review integrates existing knowledge and novel insights on PCSK9, providing a holistic perspective on its transformative impact in reshaping therapeutic paradigms across various disorders. It emphasizes the clinical value and effect of PCSK9-iT, underscoring its potential in advancing the landscape of biomedical research and its capabilities in heralding new eras in personalized medicine.
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Affiliation(s)
- Xuhui Bao
- Institute of Therapeutic Cancer Vaccines, Fudan University Pudong Medical Center, Shanghai, China.
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai, China.
- Department of Oncology, Fudan University Pudong Medical Center, Shanghai, China.
- Center for Clinical Research, Fudan University Pudong Medical Center, Shanghai, China.
- Clinical Research Center for Cell-based Immunotherapy, Fudan University, Shanghai, China.
- Department of Pathology, Duke University Medical Center, Durham, NC, USA.
| | - Yongjun Liang
- Center for Medical Research and Innovation, Fudan University Pudong Medical Center, Shanghai, China
| | - Hanman Chang
- Institute for Food Safety and Health, Illinois Institute of Technology, Chicago, IL, USA
| | - Tianji Cai
- Department of Sociology, University of Macau, Taipa, Macau, China
| | - Baijie Feng
- Department of Oncology, Fudan University Pudong Medical Center, Shanghai, China
| | - Konstantin Gordon
- Medical Institute, Peoples' Friendship University of Russia, Moscow, Russia
- A. Tsyb Medical Radiological Research Center, Obninsk, Russia
| | - Yuekun Zhu
- Department of Colorectal Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Hailian Shi
- Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Zhangjiang Hi-tech Park, Shanghai, China
| | - Yundong He
- Shanghai Key Laboratory of Regulatory Biology, School of Life Sciences, East China Normal University, Shanghai, China.
| | - Liyi Xie
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Elkin R, Oh JH, Dela Cruz F, Norton L, Deasy JO, Kung AL, Tannenbaum AR. Dynamic network curvature analysis of gene expression reveals novel potential therapeutic targets in sarcoma. Sci Rep 2024; 14:488. [PMID: 38177639 PMCID: PMC10766622 DOI: 10.1038/s41598-023-49930-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 12/13/2023] [Indexed: 01/06/2024] Open
Abstract
Network properties account for the complex relationship between genes, making it easier to identify complex patterns in their interactions. In this work, we leveraged these network properties for dual purposes. First, we clustered pediatric sarcoma tumors using network information flow as a similarity metric, computed by the Wasserstein distance. We demonstrate that this approach yields the best concordance with histological subtypes, validated against three state-of-the-art methods. Second, to identify molecular targets that would be missed by more conventional methods of analysis, we applied a novel unsupervised method to cluster gene interactomes represented as networks in pediatric sarcoma. RNA-Seq data were mapped to protein-level interactomes to construct weighted networks that were then subjected to a non-Euclidean, multi-scale geometric approach centered on a discrete notion of curvature. This provides a measure of the functional association among genes in the context of their connectivity. In confirmation of the validity of this method, hierarchical clustering revealed the characteristic EWSR1-FLI1 fusion in Ewing sarcoma. Furthermore, assessing the effects of in silico edge perturbations and simulated gene knockouts as quantified by changes in curvature, we found non-trivial gene associations not previously identified.
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Affiliation(s)
- Rena Elkin
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, 10065, USA.
| | - Jung Hun Oh
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, 10065, USA
| | - Filemon Dela Cruz
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, 10065, USA
| | - Larry Norton
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, 10065, USA
| | - Joseph O Deasy
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, 10065, USA
| | - Andrew L Kung
- Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, 10065, USA
| | - Allen R Tannenbaum
- Departments of Computer Science and Applied Mathematics and Statistics, Stony Brook University, Stony Brook, 11794, USA
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Tao J, Xue C, Cao M, Ye J, Sun Y, Chen H, Guan Y, Zhang W, Zhang W, Yao Y. Protein disulfide isomerase family member 4 promotes triple-negative breast cancer tumorigenesis and radiotherapy resistance through JNK pathway. Breast Cancer Res 2024; 26:1. [PMID: 38167446 PMCID: PMC10759449 DOI: 10.1186/s13058-023-01758-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Accepted: 12/20/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Despite radiotherapy ability to significantly improve treatment outcomes and survival in triple-negative breast cancer (TNBC) patients, acquired resistance to radiotherapy poses a serious clinical challenge. Protein disulfide isomerase exists in endoplasmic reticulum and plays an important role in promoting protein folding and post-translational modification. However, little is known about the role of protein disulfide isomerase family member 4 (PDIA4) in TNBC, especially in the context of radiotherapy resistance. METHODS We detected the presence of PDIA4 in TNBC tissues and paracancerous tissues, then examined the proliferation and apoptosis of TNBC cells with/without radiotherapy. As part of the validation process, xenograft tumor mouse model was used. Mass spectrometry and western blot analysis were used to identify PDIA4-mediated molecular signaling pathway. RESULTS Based on paired clinical specimens of TNBC patients, we found that PDIA4 expression was significantly higher in tumor tissues compared to adjacent normal tissues. In vitro, PDIA4 knockdown not only increased apoptosis of tumor cells with/without radiotherapy, but also decreased the ability of proliferation. In contrast, overexpression of PDIA4 induced the opposite effects on apoptosis and proliferation. According to Co-IP/MS results, PDIA4 prevented Tax1 binding protein 1 (TAX1BP1) degradation by binding to TAX1BP1, which inhibited c-Jun N-terminal kinase (JNK) activation. Moreover, PDIA4 knockdown suppressed tumor growth xenograft model in vivo, which was accompanied by an increase in apoptosis and promoted tumor growth inhibition after radiotherapy. CONCLUSIONS The results of this study indicate that PDIA4 is an oncoprotein that promotes TNBC progression, and targeted therapy may represent a new and effective anti-tumor strategy, especially for patients with radiotherapy resistance.
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Affiliation(s)
- Jinqiu Tao
- Division of Breast Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Cailin Xue
- Division of Hepatobilliary Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Meng Cao
- Division of Breast Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Jiahui Ye
- Division of Breast Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Yulu Sun
- Division of Breast Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Hao Chen
- Division of Breast Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Yinan Guan
- Division of Breast Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China
| | - Wenjie Zhang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, China.
| | - Weijie Zhang
- Division of Breast Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
| | - Yongzhong Yao
- Division of Breast Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, China.
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Tang X, Cui K, Wu P, Hu A, Fan M, Lu X, Yang F, Lin J, Yu S, Xu Y, Liang X. Acrizanib as a Novel Therapeutic Agent for Fundus Neovascularization via Inhibitory Phosphorylation of VEGFR2. Transl Vis Sci Technol 2024; 13:1. [PMID: 38165719 PMCID: PMC10768700 DOI: 10.1167/tvst.13.1.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 11/14/2023] [Indexed: 01/04/2024] Open
Abstract
Purpose The present study aimed to evaluate the effect of acrizanib, a small molecule inhibitor targeting vascular endothelial growth factor receptor 2 (VEGFR2), on physiological angiogenesis and pathological neovascularization in the eye and to explore the underlying molecular mechanisms. Methods We investigated the potential role of acrizanib in physiological angiogenesis using C57BL/6J newborn mice, and pathological angiogenesis using the mouse oxygen-induced retinopathy (OIR) and laser-induced choroidal neovascularization (CNV) models. Moreover, vascular endothelial growth factor (VEGF)-treated human umbilical vein endothelial cells (HUVECs) were used as an in vitro model for studying the molecular mechanism underlying acrizanib's antiangiogenic effects. Results The intravitreal injection of acrizanib did not show a considerable impact on physiological angiogenesis and retinal thickness, indicating a potentially favorable safety profile. In the mouse models of OIR and CNV, acrizanib showed promising results in reducing pathological neovascularization, inflammation, and vascular leakage, indicating its potential efficacy against pathological angiogenesis. Consistent with in vivo results, acrizanib blunted angiogenic events in VEGF-treated HUVECs such as proliferation, migration, and tube formation. Furthermore, acrizanib inhibited the multisite phosphorylation of VEGFR2 to varying degrees and the activation of its downstream signal pathways in VEGF-treated HUVECs. Conclusions This study suggested the potential efficacy and safety of acrizanib in suppressing fundus neovascularization. Acrizanib functioned through inhibiting multiple phosphorylation sites of VEGFR2 in endothelial cells to different degrees. Translational Relevance These results indicated that acrizanib might hold promise as a potential candidate for the treatment of ocular vascular diseases.
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Affiliation(s)
- Xiaoyu Tang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Kaixuan Cui
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Peiqi Wu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Andina Hu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Matthew Fan
- Yale College, Yale University, New Haven, Connecticut, USA
| | - Xi Lu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Fengmei Yang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Jicheng Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Shanshan Yu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Yue Xu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
| | - Xiaoling Liang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China
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Nithya C, Kiran M, Nagarajaram HA. Hubs and Bottlenecks in Protein-Protein Interaction Networks. Methods Mol Biol 2024; 2719:227-248. [PMID: 37803121 DOI: 10.1007/978-1-0716-3461-5_13] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/08/2023]
Abstract
Protein-protein interaction networks (PPINs) represent the physical interactions among proteins in a cell. These interactions are critical in all cellular processes, including signal transduction, metabolic regulation, and gene expression. In PPINs, centrality measures are widely used to identify the most critical nodes. The two most commonly used centrality measures in networks are degree and betweenness centralities. Degree centrality is the number of connections a node has in the network, and betweenness centrality is the measure of the extent to which a node lies on the shortest paths between pairs of other nodes in the network. In PPINs, proteins with high degree and betweenness centrality are referred to as hubs and bottlenecks respectively. Hubs and bottlenecks are topologically and functionally essential proteins that play crucial roles in maintaining the network's structure and function. This article comprehensively reviews essential literature on hubs and bottlenecks, including their properties and functions.
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Affiliation(s)
- Chandramohan Nithya
- Department of Biotechnology and Bioinformatics, School of Life Sciences, University of Hyderabad, Hyderabad, Telangana, India
| | - Manjari Kiran
- Department of Systems and Computational Biology, School of Life Sciences, University of Hyderabad, Hyderabad, Telangana, India
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35
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Fu W, Song Y, Zhao R, Zhao J, Yue Y, Zhang R. Proteomics analysis of serum and urine identifies VCP and CTSA as potential biomarkers associated with multiple myeloma. Clin Chim Acta 2024; 552:117701. [PMID: 38081446 DOI: 10.1016/j.cca.2023.117701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 11/26/2023] [Accepted: 12/06/2023] [Indexed: 12/19/2023]
Abstract
AIMS We analyzed the differentially expressed proteins (DEPs) in serum and urine in order to provide new potential biomarkers for MM. METHODS Data-Independent Acquisition-based proteomics of serum and urine was performed to identify potential biomarkers for MM patients. Then we performed Western Blotting (WB), ELISA along with their ROC curve analysis to confirm DEPs. RESULTS A total of 1653 proteins in serum and 4519 proteins in urine were identified using Data-Dependent Acquisition method. VCP was the only protein that showed significant differences in different comparison groups in both serum and urine. Pathway analysis revealed that protein processing in the endoplasmic reticulum was the most relevant pathway associated with MM. Furthermore, the increased expression of HSP90B1, VCP, CTSA, HYOU1, PDIA4, and RAB7A was detected by WB. The results of ELISA indicated that a combination of VCP and CTSA provided a high area under curve (AUC) value of 0.883 (95 % CI, 0.769-0.997, p < 0.001) to diagnose NDMM. The combination of VCP, CTSA, ALB, and HGB exhibited better performance (AUC = 0.981), with 100 % specificity and 86.7 % sensitivity. CONCLUSION These findings suggest VCP and CTSA exhibit potential as biomarkers for MM, which may be helpful in the molecular mechanisms and pathogenesis upon further investigation.
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Affiliation(s)
- Wenxuan Fu
- Department of Clinical Laboratory, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | - Yichuan Song
- Department of Clinical Laboratory, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | - Rui Zhao
- Department of Clinical Laboratory, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | - Jing Zhao
- Department of Clinical Laboratory, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | - Yuhong Yue
- Department of Clinical Laboratory, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China
| | - Rui Zhang
- Department of Clinical Laboratory, Beijing Chao-yang Hospital, Capital Medical University, Beijing, China.
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Liu R, Wang Q, Zhang X. Identification of prognostic coagulation-related signatures in clear cell renal cell carcinoma through integrated multi-omics analysis and machine learning. Comput Biol Med 2024; 168:107779. [PMID: 38061153 DOI: 10.1016/j.compbiomed.2023.107779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/30/2023] [Accepted: 11/28/2023] [Indexed: 01/10/2024]
Abstract
Clear cell renal cell carcinoma is a threat to public health with high morbidity and mortality. Clinical evidence has shown that cancer-associated thrombosis poses significant challenges to treatments, including drug resistance and difficulties in surgical decision-making in ccRCC. However, the coagulation pathway, one of the core mechanisms of cancer-associated thrombosis, recently found closely related to the tumor microenvironment and immune-related pathway, is rarely researched in ccRCC. Therefore, we integrated bulk RNA-seq data, DNA mutation and methylation data, single-cell data, and proteomic data to perform a comprehensive analysis of coagulation-related genes in ccRCC. First, we demonstrated the importance of the coagulation-related gene set by consensus clustering. Based on machine learning, we identified 5 coagulation signature genes and verified their clinical value in TCGA, ICGC, and E-MTAB-1980 databases. It's also demonstrated that the specific expression patterns of coagulation signature genes driven by CNV and methylation were closely correlated with pathways including apoptosis, immune infiltration, angiogenesis, and the construction of extracellular matrix. Moreover, we identified two types of tumor cells in single-cell data by machine learning, and the coagulation signature genes were differentially expressed in two types of tumor cells. Besides, the signature genes were proven to influence immune cells especially the differentiation of T cells. And their protein level was also validated.
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Affiliation(s)
- Ruijie Liu
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China.
| | - Qi Wang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China.
| | - Xiaoping Zhang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, China.
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Elfakharany HK, Ghoraba HM, Gaweesh KA, Eldeen AAS, Eid AM. Immunohistochemical expression of cytochrome P4A11 (CYP4A11), carbonic anhydrase 9 (CAIX) and Ki67 in renal cell carcinoma; diagnostic relevance and relations to clinicopathological parameters. Pathol Res Pract 2024; 253:155070. [PMID: 38183818 DOI: 10.1016/j.prp.2023.155070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 12/28/2023] [Indexed: 01/08/2024]
Abstract
BACKGROUND Cytochrome P4A11 (CYP4A11) is a member of cytochrome p450 family, which is involved in arachidonic acid metabolism that participates in promoting malignant cell proliferation, progression, and angiogenetic capacity. Carbonic Anhydrase 9 (CAIX) is a transmembrane protein that plays an integral part in regulating hypoxia which affects cancer cell metabolism, proliferation and promotes metastasis. The aim of this study was to evaluate the immunohistochemical expression of CYP4A11, CAIX and ki67 in RCC subtypes in relation to clinicopathological parameters and to evaluate the diagnostic significance of CYP4A11 and CAIX in differentiating renal cell carcinoma (RCC) subtypes. MATERIALS AND METHODS one hundred primary RCC cases, collected from Pathology Department, Faculty of Medicine, Tanta University and from private laboratories, were evaluated for immunohistochemical expression of CYP4A11, CAIX and ki67. RESULTS CYP4A11 was expressed in 59% of RCC; with 91.7% sensitivity and 90% specificity in differentiating clear cell and non-clear cell subtypes. CAIX was expressed in 50% of RCC; with 95% sensitivity, 80% specificity. High expression of CYP4A11 was statistically positively associated with higher tumor grade, high expression of CAIX was statistically positively associated with lower tumor grade and absence of necrosis and high ki67 labeling index was significantly associated with clear cell subtype, larger tumor sizes, higher tumor grade, advanced tumor stage, fat invasion and vascular invasion. CONCLUSIONS CYP4A11 and CAIX can be used as diagnostic markers to differentiate clear cell RCC from other subtypes. CYP4A11 is more diagnostically accurate and specific than CAIX. High expression of CYP4A11, low CAIX expression and high ki67 labeling index were related to features of aggressive tumor behavior.
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Lai J, Luo Z, Chen L, Wu Z. Advances in nanotechnology-based targeted-contrast agents for computed tomography and magnetic resonance. Sci Prog 2024; 107:368504241228076. [PMID: 38332327 PMCID: PMC10854387 DOI: 10.1177/00368504241228076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/10/2024]
Abstract
X-ray computed tomography (CT) and magnetic resonance (MR) imaging are essential tools in modern medical diagnosis and treatment. However, traditional contrast agents are inadequate in the diagnosis of various health conditions. Consequently, the development of targeted nano-contrast agents has become a crucial area of focus in the development of medical image-enhancing contrast agents. To fully understand the current development of nano-contrast agents, this review provides an overview of the preparation methods and research advancements in CT nano-contrast agents, MR nano-contrast agents, and CT/MR multimodal nano-contrast agents described in previous publications. Due to the physicochemical properties of nanomaterials, such as self-assembly and surface modifiability, these specific nano-contrast agents can greatly improve the targeting of lesions through various preparation methods and clearly highlight the distinction between lesions and normal tissues in both CT and MR. As a result, they have the potential to be used in the early stages of disease to improve diagnostic capacity and level in medical imaging.
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Affiliation(s)
- Jianjun Lai
- Institute of Intelligent Control and Robotics, Hangzhou Dianzi University, Hangzhou, China
- Department of Radiation Oncology, Zhejiang Hospital, Hangzhou, China
| | - Zhizeng Luo
- Institute of Intelligent Control and Robotics, Hangzhou Dianzi University, Hangzhou, China
| | - Liting Chen
- Department of Radiation Oncology, Zhejiang Hospital, Hangzhou, China
| | - Zhibing Wu
- Department of Radiation Oncology, Zhejiang Hospital, Hangzhou, China
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Jaradat SK, Ayoub NM, Al Sharie AH, Aldaod JM. Targeting Receptor Tyrosine Kinases as a Novel Strategy for the Treatment of Triple-Negative Breast Cancer. Technol Cancer Res Treat 2024; 23:15330338241234780. [PMID: 38389413 PMCID: PMC10894558 DOI: 10.1177/15330338241234780] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2023] [Revised: 01/07/2024] [Accepted: 02/05/2024] [Indexed: 02/24/2024] Open
Abstract
Triple-negative breast cancer (TNBC) comprises a group of aggressive and heterogeneous breast carcinoma. Chemotherapy is the mainstay for the treatment of triple-negative tumors. Nevertheless, the success of chemotherapeutic treatments is limited by their toxicity and development of acquired resistance leading to therapeutic failure and tumor relapse. Hence, there is an urgent need to explore novel targeted therapies for TNBC. Receptor tyrosine kinases (RTKs) are a family of transmembrane receptors that are key regulators of intracellular signaling pathways controlling cell proliferation, differentiation, survival, and motility. Aberrant activity and/or expression of several types of RTKs have been strongly connected to tumorigenesis. RTKs are frequently overexpressed and/or deregulated in triple-negative breast tumors and are further associated with tumor progression and reduced survival in patients. Therefore, targeting RTKs could be an appealing therapeutic strategy for the treatment of TNBC. This review summarizes the current evidence regarding the antitumor activity of RTK inhibitors in preclinical models of TNBC. The review also provides insights into the clinical trials evaluating the use of RTK inhibitors for the treatment of patients with TNBC.
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Affiliation(s)
- Sara K. Jaradat
- Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology (JUST), Irbid, Jordan
| | - Nehad M. Ayoub
- Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology (JUST), Irbid, Jordan
| | - Ahmed H. Al Sharie
- Department of Pathology and Microbiology, Faculty of Medicine, Jordan University of Science and Technology (JUST), Irbid, Jordan
| | - Julia M. Aldaod
- Department of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology (JUST), Irbid, Jordan
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Liu H, Xu Q, Wufuer H, Li Z, Sun R, Jiang Z, Dou X, Fu Q, Campisi J, Sun Y. Rutin is a potent senomorphic agent to target senescent cells and can improve chemotherapeutic efficacy. Aging Cell 2024; 23:e13921. [PMID: 37475161 PMCID: PMC10776113 DOI: 10.1111/acel.13921] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 05/24/2023] [Accepted: 06/20/2023] [Indexed: 07/22/2023] Open
Abstract
Aging is a major risk factor for most chronic disorders, for which cellular senescence is one of the central hallmarks. Senescent cells develop the pro-inflammatory senescence-associated secretory phenotype (SASP), which significantly contributes to organismal aging and age-related disorders. Development of senotherapeutics, an emerging class of therapeutic agents to target senescent cells, allows to effectively delay aging and alleviate chronic pathologies. Here we report preliminary outputs from screening of a natural medicinal agent (NMA) library for senotherapeutic candidates and validated several agents with prominent potential as senomorphics. Rutin, a phytochemical constituent found in a number of plants, showed remarkable capacity in targeting senescent cells by dampening expression of the full spectrum SASP. Further analysis indicated that rutin restrains the acute stress-associated phenotype (ASAP) by specifically interfering with the interactions of ATM with HIF1α, a master regulator of cellular and systemic homeostasis activated during senescence, and of ATM with TRAF6, part of a key signaling axis supporting the ASAP development toward the SASP. Conditioned media produced by senescent stromal cells enhanced the malignant phenotypes of prostate cancer cells, including in vitro proliferation, migration, invasion, and more importantly, chemoresistance, while rutin remarkably downregulated these gain-of-functions. Although classic chemotherapy reduced tumor progression, the treatment outcome was substantially improved upon combination of a chemotherapeutic agent with rutin. Our study provides a proof of concept for rutin as an emerging natural senomorphic agent, and presents an effective therapeutic avenue for alleviating age-related pathologies including cancer.
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Affiliation(s)
- Hanxin Liu
- Department of PharmacologyInstitute of Aging Medicine, Binzhou Medical UniversityYantaiChina
| | - Qixia Xu
- CAS Key Laboratory of Tissue Microenvironment and TumorShanghai Institute of Nutrition and Health, Chinese Academy of SciencesShanghaiChina
| | - Halidan Wufuer
- CAS Key Laboratory of Tissue Microenvironment and TumorShanghai Institute of Nutrition and Health, Chinese Academy of SciencesShanghaiChina
| | - Zi Li
- Shanghai Institute of Nutrition and Health, Chinese Academy of SciencesShanghaiChina
| | - Rong Sun
- Department of Discovery BiologyBioduro‐Sundia, Zhangjiang Hi‐Tech ParkShanghaiChina
| | - Zhirui Jiang
- CAS Key Laboratory of Tissue Microenvironment and TumorShanghai Institute of Nutrition and Health, Chinese Academy of SciencesShanghaiChina
| | - Xuefeng Dou
- CAS Key Laboratory of Tissue Microenvironment and TumorShanghai Institute of Nutrition and Health, Chinese Academy of SciencesShanghaiChina
| | - Qiang Fu
- Department of PharmacologyInstitute of Aging Medicine, Binzhou Medical UniversityYantaiChina
| | - Judith Campisi
- Buck Institute for Research on AgingNovatoCaliforniaUSA
- Lawrence Berkeley National LaboratoryUniversity of CaliforniaBerkeleyCaliforniaUSA
| | - Yu Sun
- Department of PharmacologyInstitute of Aging Medicine, Binzhou Medical UniversityYantaiChina
- CAS Key Laboratory of Tissue Microenvironment and TumorShanghai Institute of Nutrition and Health, Chinese Academy of SciencesShanghaiChina
- Department of Medicine and VAPSHCSUniversity of WashingtonSeattleWashingtonUSA
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Csabai L, Bohár B, Türei D, Prabhu S, Földvári-Nagy L, Madgwick M, Fazekas D, Módos D, Ölbei M, Halka T, Poletti M, Kornilova P, Kadlecsik T, Demeter A, Szalay-Bekő M, Kapuy O, Lenti K, Vellai T, Gul L, Korcsmáros T. AutophagyNet: high-resolution data source for the analysis of autophagy and its regulation. Autophagy 2024; 20:188-201. [PMID: 37589496 PMCID: PMC10761021 DOI: 10.1080/15548627.2023.2247737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 07/31/2023] [Accepted: 08/06/2023] [Indexed: 08/18/2023] Open
Abstract
Macroautophagy/autophagy is a highly-conserved catabolic procss eliminating dysfunctional cellular components and invading pathogens. Autophagy malfunction contributes to disorders such as cancer, neurodegenerative and inflammatory diseases. Understanding autophagy regulation in health and disease has been the focus of the last decades. We previously provided an integrated database for autophagy research, the Autophagy Regulatory Network (ARN). For the last eight years, this resource has been used by thousands of users. Here, we present a new and upgraded resource, AutophagyNet. It builds on the previous database but contains major improvements to address user feedback and novel needs due to the advancement in omics data availability. AutophagyNet contains updated interaction curation and integration of over 280,000 experimentally verified interactions between core autophagy proteins and their protein, transcriptional and post-transcriptional regulators as well as their potential upstream pathway connections. AutophagyNet provides annotations for each core protein about their role: 1) in different types of autophagy (mitophagy, xenophagy, etc.); 2) in distinct stages of autophagy (initiation, expansion, termination, etc.); 3) with subcellular and tissue-specific localization. These annotations can be used to filter the dataset, providing customizable download options tailored to the user's needs. The resource is available in various file formats (e.g. CSV, BioPAX and PSI-MI), and data can be analyzed and visualized directly in Cytoscape. The multi-layered regulation of autophagy can be analyzed by combining AutophagyNet with tissue- or cell type-specific (multi-)omics datasets (e.g. transcriptomic or proteomic data). The resource is publicly accessible at http://autophagynet.org.Abbreviations: ARN: Autophagy Regulatory Network; ATG: autophagy related; BCR: B cell receptor pathway; BECN1: beclin 1; GABARAP: GABA type A receptor-associated protein; IIP: innate immune pathway; LIR: LC3-interacting region; lncRNA: long non-coding RNA; MAP1LC3B: microtubule associated protein 1 light chain 3 beta; miRNA: microRNA; NHR: nuclear hormone receptor; PTM: post-translational modification; RTK: receptor tyrosine kinase; TCR: T cell receptor; TLR: toll like receptor.
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Affiliation(s)
- Luca Csabai
- Earlham Institute, Norwich, UK
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Balázs Bohár
- Earlham Institute, Norwich, UK
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Dénes Türei
- Heidelberg University, Faculty of Medicine, and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg, Germany
| | | | - László Földvári-Nagy
- Department of Morphology and Physiology, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary
| | - Matthew Madgwick
- Earlham Institute, Norwich, UK
- Quadram Institute, Norwich Research Park, Norwich, UK
| | - Dávid Fazekas
- Earlham Institute, Norwich, UK
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | - Dezső Módos
- Earlham Institute, Norwich, UK
- Quadram Institute, Norwich Research Park, Norwich, UK
| | - Márton Ölbei
- Earlham Institute, Norwich, UK
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Themis Halka
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Martina Poletti
- Earlham Institute, Norwich, UK
- Quadram Institute, Norwich Research Park, Norwich, UK
| | | | - Tamás Kadlecsik
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
| | | | | | - Orsolya Kapuy
- Department of Molecular Biology, Semmelweis University, Budapest, Hungary
| | - Katalin Lenti
- Department of Morphology and Physiology, Faculty of Health Sciences, Semmelweis University, Budapest, Hungary
| | - Tibor Vellai
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
- ELKH/MTA-ELTE Genetics Research Group, Budapest, Hungary
| | - Lejla Gul
- Earlham Institute, Norwich, UK
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Tamás Korcsmáros
- Earlham Institute, Norwich, UK
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, Hungary
- Quadram Institute, Norwich Research Park, Norwich, UK
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
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Roy S, Ray D, Laha I, Choudhury L. Human Mycobiota and Its Role in Cancer Progression, Diagnostics and Therapeutics: A Link Lesser-Known. Cancer Invest 2024; 42:44-62. [PMID: 38186047 DOI: 10.1080/07357907.2024.2301733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 01/01/2024] [Indexed: 01/09/2024]
Abstract
Although not as well studied as the bacterial component of the human microbiota, the commensal fungi or mycobiota play important roles in maintaining our health by augmenting our immune system. This mycobiota is also associated with various fatal diseases like opportunistic mycoses, and even cancer, with different cancers having respective type-specific mycobiota. The different fungal species which comprise these different intratumoral mycobiota play important roles in cancer progression. The aim of this review paper is to decipher the association between mycobiota and cancer, and shed light on new avenues in cancer diagnosis, and the development of new anti-cancer therapeutics.
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Affiliation(s)
- Souvik Roy
- Post-Graduate & Research Department of Biotechnology, St. Xavier's College (Autonomous), Kolkata, India
| | - Dhrisaj Ray
- 5th Year Integrated M. Sc. (5 year integrated) students, Post-Graduate & Research Department of Biotechnology, St. Xavier's College (Autonomous), Kolkata, India
| | - Ishani Laha
- 5th Year Integrated M. Sc. (5 year integrated) students, Post-Graduate & Research Department of Biotechnology, St. Xavier's College (Autonomous), Kolkata, India
| | - Lopamudra Choudhury
- State-Aided College Teacher, Department of Microbiology, Sarsuna College (Affiliated to Calcutta University), Kolkata, India
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43
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Hosseini SA, Kardani A, Yaghoobi H. A comprehensive review of cancer therapies mediated by conjugated gold nanoparticles with nucleic acid. Int J Biol Macromol 2023; 253:127184. [PMID: 37797860 DOI: 10.1016/j.ijbiomac.2023.127184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 09/16/2023] [Accepted: 09/24/2023] [Indexed: 10/07/2023]
Abstract
Nucleic acids provide a promising therapeutic platform by targeting various cell signaling pathways involved in cancer and genetic disorders. However, maintaining optimal stability during delivery limits their utility. Nucleic acid delivery vehicles are generally categorized into biological and synthetic carriers. Regardless of the efficiency of biological vectors, such as viral vectors, issues related to their immunogenicity and carcinogenesis are very important and vital for clinical applications. On the other hand, synthetic vectors such as lipids or polymers, have been widely used for nucleic acid delivery. Despite their transfection efficiency, low storage stability, targeting inefficiency, and tracking limitations are among the limitations of the clinical application of these vectors. In the past decades, gold nanoparticles with unique properties have been shown to be highly efficient mineral vectors for overcoming these obstacles. In this review, we focus on gold nanoparticle-nucleic acid combinations and highlight their use in the treatment of various types of cancers. Furthermore, by stating the biological applications of these structures, we will discuss their clinical applications.
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Affiliation(s)
- Sayedeh Azimeh Hosseini
- Student Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran; Department of Medical Biotechnology, School of Advanced Technology, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Arefeh Kardani
- Department of Medical Biotechnology, School of Advanced Technology, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | - Hajar Yaghoobi
- Clinical Biochemistry Research Center, Basic Health Sciences Institute, Shahrekord University of Medical Sciences, Shahrekord, Iran.
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Chen J, Li J, Zhong C, Ling Y, Liu D, Li X, Xu J, Liu Q, Guo Y, Wang L. Nanobody-loaded nanobubbles targeting the G250 antigen with ultrasound/photoacoustic/fluorescence multimodal imaging capabilities for specifically enhanced imaging of RCC. Nanoscale 2023; 16:343-359. [PMID: 38062769 DOI: 10.1039/d3nr04097f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Clinicians have attempted to discover a noninvasive, easy-to-perform, and accurate method to distinguish benign and malignant renal masses. The targeted nanobubbles (NBs) we constructed that target the specific membrane antigen of renal cell carcinoma (RCC), G250, and contain indocyanine green (ICG) provide multimodal enhanced imaging capability in ultrasound/photoacoustic/fluorescence for RCC which may possibly solve this problem. In this study, we encapsulated ICG in the lipid shell of the NBs by mechanical oscillation, then anti-G250 nanobodies (AGN) were coupled to the surfaces by the biotin-streptavidin bridge method, and the nanobubble named AGN/ICG-NB was completely constructed. The average particle diameter of the prepared AGN/ICG-NBs was (427.2 ± 4.50) nm, and the zeta potential was (-13.33 ± 1.01) mV. Immunofluorescence and flow cytometry confirmed the specific binding capability of AGN/ICG-NBs to G250-positive cells. In vitro imaging experiments confirmed the multimodal imaging capability of AGN/ICG-NBs, and the in vivo imaging experiments demonstrated the specifically enhanced ability of AGN/ICG-NBs for ultrasound/photoacoustic/fluorescence imaging of human-derived RCC tumors. The biosafety of AGN/ICG-NB was verified by CCK-8 assay, organ H&E staining and blood biochemical indices. In conclusion, the targeted nanobubbles we prepared with ultrasound/photoacoustic/fluorescence multimodal imaging capabilities provide a potentially feasible approach to address the need for early diagnosis and differential diagnosis of renal masses.
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Affiliation(s)
- Jiajiu Chen
- Department of Urology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
| | - Jingyi Li
- Department of Urology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
| | - Chengjie Zhong
- The Second Clinical Medical College, Chongqing Medical University, Chongqing 400016, P.R. China
| | - Yi Ling
- Department of Ultrasound, Southwest Hospital, Army Medical University, Chongqing 400038, P.R. China.
| | - Deng Liu
- Department of Ultrasound, Southwest Hospital, Army Medical University, Chongqing 400038, P.R. China.
| | - Xin Li
- Department of Ultrasound, Southwest Hospital, Army Medical University, Chongqing 400038, P.R. China.
| | - Jing Xu
- Department of Urology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
| | - Qiuli Liu
- Department of Urology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
| | - Yanli Guo
- Department of Ultrasound, Southwest Hospital, Army Medical University, Chongqing 400038, P.R. China.
| | - Luofu Wang
- Department of Urology, Daping Hospital, Army Medical University, Chongqing 400042, P.R. China.
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Bibbò S, Porcari S, Del Vecchio LE, Severino A, Mullish BH, Ianiro G, Gasbarrini A, Cammarota G. Gut microbiota and immunotherapy of renal cell carcinoma. Hum Vaccin Immunother 2023; 19:2268982. [PMID: 37955340 PMCID: PMC10653624 DOI: 10.1080/21645515.2023.2268982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 10/06/2023] [Indexed: 11/14/2023] Open
Abstract
The gut microbiome has recently been proposed as a key player in cancer development and progression. Several studies have reported that the composition of the gut microbiome plays a role in the response to immune checkpoint inhibitors (ICIs). The gut microbiome modulation has been investigated as a potential therapeutic strategy for cancer, mainly in patients undergoing therapy with ICIs. In particular, modulation through probiotics, FMT or other microbiome-related approaches have proven effective to improve the response to ICIs. In this review, we examine the role of the gut microbiome in enhancing clinical responses to ICIs in the treatment of renal cancer.
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Affiliation(s)
- Stefano Bibbò
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Serena Porcari
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Livio Enrico Del Vecchio
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Andrea Severino
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Benjamin H. Mullish
- Division of Digestive Diseases, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, St Mary’s Hospital Campus, Imperial College London, London, UK
- Departments of Gastroenterology and Hepatology, St Mary’s Hospital, Imperial College Healthcare NHS Trust, London, UK
| | - Gianluca Ianiro
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Antonio Gasbarrini
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
| | - Giovanni Cammarota
- CEMAD Digestive Disease Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Roma, Italy
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Wang Y, Zhou B, Ru J, Meng X, Wang Y, Liu W. Advances in computational methods for identifying cancer driver genes. Math Biosci Eng 2023; 20:21643-21669. [PMID: 38124614 DOI: 10.3934/mbe.2023958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
Cancer driver genes (CDGs) are crucial in cancer prevention, diagnosis and treatment. This study employed computational methods for identifying CDGs, categorizing them into four groups. The major frameworks for each of these four categories were summarized. Additionally, we systematically gathered data from public databases and biological networks, and we elaborated on computational methods for identifying CDGs using the aforementioned databases. Further, we summarized the algorithms, mainly involving statistics and machine learning, used for identifying CDGs. Notably, the performances of nine typical identification methods for eight types of cancer were compared to analyze the applicability areas of these methods. Finally, we discussed the challenges and prospects associated with methods for identifying CDGs. The present study revealed that the network-based algorithms and machine learning-based methods demonstrated superior performance.
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Affiliation(s)
- Ying Wang
- School of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215500, China
| | - Bohao Zhou
- School of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215500, China
| | - Jidong Ru
- School of Textile Garment and Design, Changshu Institute of Technology, Changshu 215500, China
| | - Xianglian Meng
- School of Computer Information and Engineering, Changzhou Institute of Technology, Changzhou 213032, China
| | - Yundong Wang
- School of Computer Science and Engineering, Changshu Institute of Technology, Changshu 215500, China
| | - Wenjie Liu
- School of Computer Information and Engineering, Changzhou Institute of Technology, Changzhou 213032, China
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Guo J, Zhang Y, Gao Y, Li S, Xu G, Tian Z, Xu Q, Li X, Li Y, Zhang Y. Systematical analyses of large-scale transcriptome reveal viral infection-related genes and disease comorbidities. Artif Cells Nanomed Biotechnol 2023; 51:453-465. [PMID: 37651591 DOI: 10.1080/21691401.2023.2252477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 08/13/2023] [Accepted: 08/17/2023] [Indexed: 09/02/2023]
Abstract
Perturbation of transcriptome in viral infection patients is a recurrent theme impacting symptoms and mortality, yet a detailed understanding of pertinent transcriptome and identification of robust biomarkers is not complete. In this study, we manually collected 23 datasets related to 6,197 blood transcriptomes across 16 types of respiratory virus infections. We applied a comprehensive systems biology approach starting with whole-blood transcriptomes combined with multilevel bioinformatics analyses to characterize the expression, functional pathways, and protein-protein interaction (PPI) networks to identify robust biomarkers and disease comorbidities. Robust gene markers of infection with different viruses were identified, which can accurately classify the normal and infected patients in train and validation cohorts. The biological processes (BP) of different viruses showed great similarity and enriched in infection and immune response pathways. Network-based analyses revealed that a variety of viral infections were associated with nervous system diseases, neoplasms and metabolic diseases, and significantly correlated with brain tissues. In summary, our manually collected transcriptomes and comprehensive analyses reveal key molecular markers and disease comorbidities in the process of viral infection, which could provide a valuable theoretical basis for the prevention of subsequent public health events for respiratory virus infections.
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Affiliation(s)
- Jing Guo
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Ya Zhang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Yueying Gao
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Si Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Gang Xu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Zhanyu Tian
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Qi Xu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Xia Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yongsheng Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education, College of Biomedical Information and Engineering, Hainan Women and Children's Medical Center, Hainan Medical University, Haikou, Hainan, China
| | - Yunpeng Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
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Thakur K, Janjua D, Aggarwal N, Chhokar A, Yadav J, Tripathi T, Chaudhary A, Senrung A, Shrivastav A, Bharti AC. Physical interaction between STAT3 and AP1 in cervical carcinogenesis: Implications in HPV transcription control. Biochim Biophys Acta Mol Basis Dis 2023; 1869:166817. [PMID: 37532113 DOI: 10.1016/j.bbadis.2023.166817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 07/07/2023] [Accepted: 07/19/2023] [Indexed: 08/04/2023]
Abstract
The constitutive activation and aberrant expression of Signal Transducer and Activator of Transcription 3 (STAT3) plays a key role in initiation and progression of cervical cancer (CaCx). How STAT3 influences HPV transcription is poorly defined. In the present study, we probed direct and indirect interactions of STAT3 with HPV16/18 LCR. In silico assessment of cis-elements present on LCR revealed the presence of potential STAT3 binding motifs. However, experimental validation by ChIP-PCR could not confirm any specific STAT3 binding on HPV16 LCR. Protein-protein interaction (PPI) network analysis of STAT3 with other host transcription factors that bind LCR, highlighted the physical association of STAT3 with c-FOS and c-JUN. This was further confirmed in vitro by co-immunoprecipitation, where STAT3 co-immunoprecipitated with c-FOS and c-JUN in CaCx cells. The result was supported by immunocytochemical analysis and colocalization of STAT3 with c-FOS and c-JUN. Positive signals in proximity ligation assay validated physical interaction and colocalization of STAT3 with AP1. Colocalization of STAT3 with c-FOS and c-JUN increased upon IL-6 treatment and decreased post-Stattic treatment. Alteration of STAT3 expression affected the subcellular localization of c-FOS and c-JUN, along with the expression of viral oncoproteins (E6 and E7) in CaCx cells. High expression of c-JUN in tumor tissues correlated with poor prognosis in both HPV16 and HPV18 CaCx cohort whereas high expression of STAT3 correlated with poor prognosis in HPV18 CaCx lesions only. Overall, the data suggest an indirect interaction of STAT3 with HPV LCR via c-FOS and c-JUN and potentiate transcription of viral oncoproteins.
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Affiliation(s)
- Kulbhushan Thakur
- Molecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), New Delhi, India
| | - Divya Janjua
- Molecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), New Delhi, India
| | - Nikita Aggarwal
- Molecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), New Delhi, India
| | - Arun Chhokar
- Molecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), New Delhi, India; Department of Zoology, Deshbandhu College, University of Delhi, Delhi, India
| | - Joni Yadav
- Molecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), New Delhi, India
| | - Tanya Tripathi
- Molecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), New Delhi, India
| | - Apoorva Chaudhary
- Molecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), New Delhi, India
| | - Anna Senrung
- Molecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), New Delhi, India
| | - Anuraag Shrivastav
- Department of Biology, The University of Winnipeg, 515 Portage Avenue, Winnipeg, Manitoba, Canada; Paul Albrechtsen Research Institute CCMB, 675 McDermot Ave, Winnipeg, Manitoba, Canada
| | - Alok Chandra Bharti
- Molecular Oncology Laboratory, Department of Zoology, University of Delhi (North Campus), New Delhi, India.
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49
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Vahabi M, Comandatore A, Centra C, Blandino G, Morelli L, Giovannetti E. Thinking small to win big? A critical review on the potential application of extracellular vesicles for biomarker discovery and new therapeutic approaches in pancreatic cancer. Semin Cancer Biol 2023; 97:50-67. [PMID: 37956937 DOI: 10.1016/j.semcancer.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 09/29/2023] [Accepted: 11/07/2023] [Indexed: 11/20/2023]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is an extremely deadly form of cancer, with limited progress in 5-year survival rates despite significant research efforts. The main challenges in treating PDAC include difficulties in early detection, and resistance to current therapeutic approaches due to aggressive molecular and microenvironment features. These challenges emphasize the importance of identifying clinically validated biomarkers for early detection and clinical management. Extracellular vesicles (EVs), particularly exosomes, have emerged as crucial mediators of intercellular communication by transporting molecular cargo. Recent research has unveiled their role in initiation, metastasis, and chemoresistance of PDAC. Consequently, utilizing EVs in liquid biopsies holds promise for the identification of biomarkers for early detection, prognosis, and monitoring of drug efficacy. However, numerous limitations, including challenges in isolation and characterization of homogeneous EVs populations, as well as the absence of standardized protocols, can affect the reliability of studies involving EVs as biomarkers, underscoring the necessity for a prudent approach. EVs have also garnered considerable attention as a promising drug delivery system and novel therapy for tumors. The loading of biomolecules or chemical drugs into exosomes and their subsequent delivery to target cells can effectively impede tumor progression. Nevertheless, there are obstacles that must be overcome to ensure the accuracy and efficacy of therapies relying on EVs for the treatment of tumors. In this review, we examine both recent advancements and remaining obstacles, exploring the potential of utilizing EVs in biomarker discovery as well as for the development of drug delivery vehicles.
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Affiliation(s)
- Mahrou Vahabi
- Department of Medical Oncology, Amsterdam UMC, VU University, Cancer Center Amsterdam, Amsterdam, Netherlands
| | - Annalisa Comandatore
- Department of Medical Oncology, Amsterdam UMC, VU University, Cancer Center Amsterdam, Amsterdam, Netherlands; General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Chiara Centra
- Department of Medical Oncology, Amsterdam UMC, VU University, Cancer Center Amsterdam, Amsterdam, Netherlands
| | - Giovanni Blandino
- IRCCS Regina Elena National Cancer Institute, Oncogenomic and Epigenetic Laboratory, Rome, Italy
| | - Luca Morelli
- General Surgery Unit, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - Elisa Giovannetti
- Department of Medical Oncology, Amsterdam UMC, VU University, Cancer Center Amsterdam, Amsterdam, Netherlands; Fondazione Pisana per la Scienza, Pisa, Italy.
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50
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Li R, Zhao H, Huang X, Zhang J, Bai R, Zhuang L, Wen S, Wu S, Zhou Q, Li M, Zeng L, Zhang S, Deng S, Su J, Zuo Z, Chen R, Lin D, Zheng J. Super-enhancer RNA m 6A promotes local chromatin accessibility and oncogene transcription in pancreatic ductal adenocarcinoma. Nat Genet 2023; 55:2224-2234. [PMID: 37957340 DOI: 10.1038/s41588-023-01568-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 10/12/2023] [Indexed: 11/15/2023]
Abstract
The biological functions of noncoding RNA N6-methyladenosine (m6A) modification remain poorly understood. In the present study, we depict the landscape of super-enhancer RNA (seRNA) m6A modification in pancreatic ductal adenocarcinoma (PDAC) and reveal a regulatory axis of m6A seRNA, H3K4me3 modification, chromatin accessibility and oncogene transcription. We demonstrate the cofilin family protein CFL1, overexpressed in PDAC, as a METTL3 cofactor that helps seRNA m6A methylation formation. The increased seRNA m6As are recognized by the reader YTHDC2, which recruits H3K4 methyltransferase MLL1 to promote H3K4me3 modification cotranscriptionally. Super-enhancers with a high level of H3K4me3 augment chromatin accessibility and facilitate oncogene transcription. Collectively, these results shed light on a CFL1-METTL3-seRNA m6A-YTHDC2/MLL1 axis that plays a role in the epigenetic regulation of local chromatin state and gene expression, which strengthens our knowledge about the functions of super-enhancers and their transcripts.
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Affiliation(s)
- Rui Li
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Hongzhe Zhao
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Xudong Huang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Jialiang Zhang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Ruihong Bai
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Lisha Zhuang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Shujuan Wen
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Shaojia Wu
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Quanbo Zhou
- Department of Pancreaticobiliary Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Mei Li
- Department of Pathology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Lingxing Zeng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Shaoping Zhang
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Shuang Deng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Jiachun Su
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Zhixiang Zuo
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China
| | - Rufu Chen
- Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Dongxin Lin
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China.
- Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
| | - Jian Zheng
- Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China and Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, China.
- Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
- Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, China.
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