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Pei Y, Guo Y, Wang W, Wang B, Zeng F, Shi Q, Xu J, Guo L, Ding C, Xie X, Ren T, Guo W. Extracellular vesicles as a new frontier of diagnostic biomarkers in osteosarcoma diseases: a bibliometric and visualized study. Front Oncol 2024; 14:1359807. [PMID: 38500663 PMCID: PMC10944918 DOI: 10.3389/fonc.2024.1359807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 02/22/2024] [Indexed: 03/20/2024] Open
Abstract
The use of liquid biopsy in cancer research has grown exponentially, offering potential for early detection, treatment stratification, and monitoring residual disease and recurrence. Exosomes, released by cancer cells, contain tumor-derived materials and are stable in biofluids, making them valuable biomarkers for clinical evaluation. Bibliometric research on osteosarcoma (OS) and exosome-derived diagnostic biomarkers is scarce. Therefore, we aimed to conduct a bibliometric evaluation of studies on OS and exosome-derived biomarkers. Using the Web of Science Core Collection database, Microsoft Excel, the R "Bibliometrix" package, CiteSpace, and VOSviewer software, quantitative analyses of the country, author, annual publications, journals, institutions, and keywords of studies on exosome-derived biomarkers for OS from 1995 to 2023 were performed. High-quality records (average citation rate ≥ 10/year) were filtered. The corresponding authors were mainly from China, the USA, Australia, and Canada. The University of Kansas Medical Center, National Cancer Center, Japan, and University of Kansas were major institutions, with limited cooperation reported by the University of Kansas Medical Center. Keyword analysis revealed a shift from cancer progression to mesenchymal stem cells, exosome expression, biogenesis, and prognostic biomarkers. Qualitative analysis highlighted exosome cargo, including miRNAs, circRNAs, lncRNAs, and proteins, as potential diagnostic OS biomarkers. This research emphasizes the rapid enhancement of exosomes as a diagnostic frontier, offering guidance for the clinical application of exosome-based liquid biopsy in OS, contributing to the evolving landscape of cancer diagnosis.
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Affiliation(s)
- Yanhong Pei
- Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, China
- Beijing Key Laboratory of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China
| | - Yu Guo
- Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, China
- Beijing Key Laboratory of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China
| | - Wei Wang
- Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, China
- Beijing Key Laboratory of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China
| | - Boyang Wang
- Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, China
- Beijing Key Laboratory of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China
| | - Fanwei Zeng
- Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, China
- Beijing Key Laboratory of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China
| | - Qianyu Shi
- Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, China
- Beijing Key Laboratory of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China
| | - Jiuhui Xu
- Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, China
- Beijing Key Laboratory of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China
| | - Lei Guo
- Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, China
- Beijing Key Laboratory of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China
| | - Chaowei Ding
- Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, China
- Beijing Key Laboratory of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China
| | - Xiangpang Xie
- Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Cangnan Hospital of Wenzhou Medical University, Cangnan, Zhejiang, China
| | - Tingting Ren
- Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, China
- Beijing Key Laboratory of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China
| | - Wei Guo
- Musculoskeletal Tumor Center, Peking University People’s Hospital, Beijing, China
- Beijing Key Laboratory of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China
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Akbari Nakhjavani S, Tokyay BK, Soylemez C, Sarabi MR, Yetisen AK, Tasoglu S. Biosensors for prostate cancer detection. Trends Biotechnol 2023; 41:1248-1267. [PMID: 37147246 DOI: 10.1016/j.tibtech.2023.04.001] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/22/2023] [Accepted: 04/04/2023] [Indexed: 05/07/2023]
Abstract
Prostate cancer (PC) is one of the most common tumors and a leading cause of mortality among men, resulting in ~375 000 deaths annually worldwide. Various analytical methods have been designed for quantitative and rapid detection of PC biomarkers. Electrochemical (EC), optical, and magnetic biosensors have been developed to detect tumor biomarkers in clinical and point-of-care (POC) settings. Although POC biosensors have shown potential for detection of PC biomarkers, some limitations, such as the sample preparation, should be considered. To tackle such shortcomings, new technologies have been utilized for development of more practical biosensors. Here, biosensing platforms for the detection of PC biomarkers such as immunosensors, aptasensors, genosensors, paper-based devices, microfluidic systems, and multiplex high-throughput platforms, are discussed.
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Affiliation(s)
- Sattar Akbari Nakhjavani
- Department of Mechanical Engineering, Koç University, Sariyer, Istanbul 34450, Turkey; Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey
| | - Begum K Tokyay
- Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey; Department of Biomedical Sciences and Engineering, Koç University, 34450 Istanbul, Turkey
| | - Cansu Soylemez
- Department of Biomedical Sciences and Engineering, Koç University, 34450 Istanbul, Turkey
| | - Misagh R Sarabi
- Department of Biomedical Sciences and Engineering, Koç University, 34450 Istanbul, Turkey; Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany 70569
| | - Ali K Yetisen
- Department of Chemical Engineering, Imperial College, London SW7 2AZ, UK
| | - Savas Tasoglu
- Department of Mechanical Engineering, Koç University, Sariyer, Istanbul 34450, Turkey; Koç University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Turkey; Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart, Germany 70569; Koç University Arçelik Research Center for Creative Industries (KUAR), Koç University, Istanbul 34450, Turkey; Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Istanbul 34684, Turkey.
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Robinson H, Roberts MJ, Gardiner RA, Hill MM. Extracellular vesicles for precision medicine in prostate cancer - Is it ready for clinical translation? Semin Cancer Biol 2023; 89:18-29. [PMID: 36681206 DOI: 10.1016/j.semcancer.2023.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 01/10/2023] [Accepted: 01/17/2023] [Indexed: 01/20/2023]
Abstract
Biofluid-based biomarker tests hold great promise for precision medicine in prostate cancer (PCa) clinical practice. Extracellular vesicles (EV) are established as intercellular messengers in cancer development with EV cargos, including protein and nucleic acids, having the potential to serve as biofluid-based biomarkers. Recent clinical studies have begun to evaluate EV-based biomarkers for PCa diagnosis, prognosis, and disease/therapy resistance monitoring. Promising results have led to PCa EV biomarker validation studies which are currently underway with the next challenge being translation to robust clinical assays. However, EV research studies generally use low throughput EV isolation methods and costly molecular profiling technologies that are not suitable for clinical assays. Here, we consider the technical hurdles in translating EV biomarker research findings into precise and cost-effective clinical biomarker assays. Novel microfluidic devices coupling EV extraction with sensitive antibody-based biomarker detection are already being explored for point-of-care applications for rapid provision in personalised medicine approaches.
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Affiliation(s)
- Harley Robinson
- QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, Queensland, Australia.
| | - Matthew J Roberts
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, Brisbane, Queensland, Australia; Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, Australia
| | - Robert A Gardiner
- UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, Brisbane, Queensland, Australia; Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, Australia
| | - Michelle M Hill
- QIMR Berghofer Medical Research Institute, 300 Herston Road, Herston, Brisbane, Queensland, Australia; UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Herston, Brisbane, Queensland, Australia.
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Kling A, Dirscherl L, Dittrich PS. Laser-assisted protein micropatterning in a thermoplastic device for multiplexed prostate cancer biomarker detection. LAB ON A CHIP 2023; 23:534-541. [PMID: 36642981 PMCID: PMC9890490 DOI: 10.1039/d2lc00840h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 12/28/2022] [Indexed: 06/17/2023]
Abstract
Immunoassays are frequently used for analysis of protein biomarkers. The specificity of antibodies enables parallel analysis of several target proteins, at the same time. However, the implementation of such multiplexed assays into cost-efficient and mass-producible thermoplastic microfluidic platforms remains difficult due to the lack of suitable immobilization strategies for different capture antibodies. Here, we introduce and characterize a method to functionalize the surfaces of microfluidic devices manufactured in the thermoplastic material cyclic olefin copolymer (COC) by a rapid prototyping process. A laser-induced immobilization process enables the surface patterning of anchor biomolecules at a spatial resolution of 5 μm. We employ the method for the analysis of prostate cancer associated biomarkers by competitive immunoassays in a microchannel with a total volume of 320 nL, and successfully detected the proteins PSA, CRP, CEA and IGF-1 at clinically relevant concentrations. Finally, we also demonstrate the simultaneous analysis of three markers spiked into undiluted human plasma. In conclusion, this method opens the way to transfer multiplexed immunoassays into mass-producible microfluidic platforms that are suitable for point of care applications.
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Affiliation(s)
- André Kling
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.
| | - Lorin Dirscherl
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.
| | - Petra S Dittrich
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, CH-4058 Basel, Switzerland.
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NAKAMURA NORIKO, ROGERS PAUL, EGGERSON RÉMELLE, POST STEVENR, DAVIS RODNEY. Translational Research for Identifying Potential Early-stage Prostate Cancer Biomarkers. Cancer Genomics Proteomics 2023; 20:1-8. [PMID: 36581341 PMCID: PMC9806668 DOI: 10.21873/cgp.20359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/21/2022] [Accepted: 07/25/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND/AIM Prostate cancer (PCa) is one of the most common types of cancer in men. Prostate-specific antigen (PSA) is currently the only biomarker used to screen for the risk of developing PCa. Because PSA tests may show false positives, identifying novel PCa-specific biomarkers would improve prediction and diagnosis at an early stage. Previously, we identified a number of genes/microRNAs (miRNAs) in prostate tissue as potential biomarkers of chronic prostatitis in a rat model of chemical-induced prostatitis. The current study aimed to evaluate their potential for use as translational, diagnostic markers in humans. MATERIALS AND METHODS We performed quantitative polymerase chain reaction analysis using pathologically clear (normal) or confirmed PCa tissue samples from the same patients (N=18 per group). RESULTS Levels (relative fold changes) of bone morphogenetic protein 7 (BMP7) transcripts were significantly lower in PCa tissues, compared with clear tissues, in a paired t-test (p=0.0075). Although neural cell adhesion molecule 1 (NCAM1) transcripts tended to be altered in PCa tissues, statistically insignificant differences were observed (p=0.0521). No statistically significant differences were observed for the other genes/miRNAs analyzed in PCa tissues due to a high degree of individual variance in expression. CONCLUSION Similar to the results previously observed in rats, changes in the levels of BMP7 and NCAM1 transcripts were evident in human PCa tissues, suggesting that these genes may serve as potential diagnostic biomarkers during the early stages of PCa. Further studies are needed to determine the potential use of these molecules as biomarkers.
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Affiliation(s)
- NORIKO NAKAMURA
- Division of Systems Biology, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, U.S.A
| | - PAUL ROGERS
- Division of Bioinformatics and Biostatistics, National Center for Toxicological Research, U.S. Food and Drug Administration, Jefferson, AR, U.S.A
| | - RÉMELLE EGGERSON
- Department of Pathology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, U.S.A
| | - STEVEN R. POST
- Department of Pathology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, U.S.A
| | - RODNEY DAVIS
- Department of Urology, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, U.S.A
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Chu SS, Nguyen HA, Zhang J, Tabassum S, Cao H. Towards Multiplexed and Multimodal Biosensor Platforms in Real-Time Monitoring of Metabolic Disorders. SENSORS (BASEL, SWITZERLAND) 2022; 22:5200. [PMID: 35890880 PMCID: PMC9323394 DOI: 10.3390/s22145200] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 06/15/2023]
Abstract
Metabolic syndrome (MS) is a cluster of conditions that increases the probability of heart disease, stroke, and diabetes, and is very common worldwide. While the exact cause of MS has yet to be understood, there is evidence indicating the relationship between MS and the dysregulation of the immune system. The resultant biomarkers that are expressed in the process are gaining relevance in the early detection of related MS. However, sensing only a single analyte has its limitations because one analyte can be involved with various conditions. Thus, for MS, which generally results from the co-existence of multiple complications, a multi-analyte sensing platform is necessary for precise diagnosis. In this review, we summarize various types of biomarkers related to MS and the non-invasively accessible biofluids that are available for sensing. Then two types of widely used sensing platform, the electrochemical and optical, are discussed in terms of multimodal biosensing, figure-of-merit (FOM), sensitivity, and specificity for early diagnosis of MS. This provides a thorough insight into the current status of the available platforms and how the electrochemical and optical modalities can complement each other for a more reliable sensing platform for MS.
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Affiliation(s)
- Sung Sik Chu
- Department of Biomedical Engineering, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA 92697, USA; (S.S.C.); (J.Z.)
| | - Hung Anh Nguyen
- Department of Electrical Engineering and Computer Science, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA 92697, USA;
| | - Jimmy Zhang
- Department of Biomedical Engineering, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA 92697, USA; (S.S.C.); (J.Z.)
| | - Shawana Tabassum
- Department of Electrical Engineering, College of Engineering, The University of Texas at Tyler, Tyler, TX 75799, USA
| | - Hung Cao
- Department of Biomedical Engineering, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA 92697, USA; (S.S.C.); (J.Z.)
- Department of Electrical Engineering and Computer Science, Henry Samueli School of Engineering, University of California Irvine, Irvine, CA 92697, USA;
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Yu D, Li Y, Wang M, Gu J, Xu W, Cai H, Fang X, Zhang X. Exosomes as a new frontier of cancer liquid biopsy. Mol Cancer 2022; 21:56. [PMID: 35180868 PMCID: PMC8855550 DOI: 10.1186/s12943-022-01509-9] [Citation(s) in RCA: 275] [Impact Index Per Article: 137.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 01/15/2022] [Indexed: 02/08/2023] Open
Abstract
Liquid biopsy, characterized by minimally invasive detection through biofluids such as blood, saliva, and urine, has emerged as a revolutionary strategy for cancer diagnosis and prognosis prediction. Exosomes are a subset of extracellular vesicles (EVs) that shuttle molecular cargoes from donor cells to recipient cells and play a crucial role in mediating intercellular communication. Increasing studies suggest that exosomes have a great promise to serve as novel biomarkers in liquid biopsy, since large quantities of exosomes are enriched in body fluids and are involved in numerous physiological and pathological processes. However, the further clinical application of exosomes has been greatly restrained by the lack of high-quality separation and component analysis methods. This review aims to provide a comprehensive overview on the conventional and novel technologies for exosome isolation, characterization and content detection. Additionally, the roles of exosomes serving as potential biomarkers in liquid biopsy for the diagnosis, treatment monitoring, and prognosis prediction of cancer are summarized. Finally, the prospects and challenges of applying exosome-based liquid biopsy to precision medicine are evaluated.
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Affiliation(s)
- Dan Yu
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Yixin Li
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Maoye Wang
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Jianmei Gu
- Department of Clinical Laboratory Medicine, Nantong Tumor Hospital, Nantong, 226361, Jiangsu, China
| | - Wenrong Xu
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, Jiangsu, China
| | - Hui Cai
- Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province, Gansu Hospital of Jiangsu University, Lanzhou, 730000, Gansu, China
| | - Xinjian Fang
- Department of Oncology, Lianyungang Hospital Affiliated to Jiangsu University, Lianyungang, 222000, Jiangsu, China.
| | - Xu Zhang
- Jiangsu Key Laboratory of Medical Science and Laboratory Medicine, School of Medicine, Jiangsu University, Zhenjiang, 212013, Jiangsu, China. .,Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province, Gansu Hospital of Jiangsu University, Lanzhou, 730000, Gansu, China. .,Department of Oncology, Lianyungang Hospital Affiliated to Jiangsu University, Lianyungang, 222000, Jiangsu, China.
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