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An J, Park H, Ju M, Woo Y, Seo Y, Min J, Lee T. An updated review on the development of a nanomaterial-based field-effect transistor-type biosensors to detect exosomes for cancer diagnosis. Talanta 2024; 279:126604. [PMID: 39068827 DOI: 10.1016/j.talanta.2024.126604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 06/24/2024] [Accepted: 07/22/2024] [Indexed: 07/30/2024]
Abstract
Cancer, a life-threatening genetic disease caused by abnormalities in normal cell growth regulatory functions, poses a significant challenge that current medical technologies cannot fully overcome. The current desired breakthrough is to diagnose cancer as early as possible and increase survival rates through treatments tailored to the prognosis and appropriate follow-up. From a perspective that reflects this contemporary paradigm of cancer diagnostics, exosomes are emerging as promising biomarkers. Exosomes, serving as mobile biological information repositories of cancer cells, have been known to create a microtumor environment in surrounding cells, and significant insight into the clinical significance of cancer diagnosis targeting them has been reported. Therefore, there are growing interests in constructing a system that enables continuous screening with a focus on patient-friendly and flexible diagnosis, aiming to improve cancer screening rates through exosome detection. This review focuses on a proposed exosome-embedded biological information-detecting platform employing a field-effect transistor (FET)-based biosensor that leverages portability, cost-effectiveness, and rapidity to minimize the stages of sacrifice attributable to cancer. The FET-applied biosensing technique, stemming from variations in an electric field, is considered an early detection system, offering high sensitivity and a prompt response frequency for the qualitative and quantitative analysis of biomolecules. Hence, an in-depth discussion was conducted on the understanding of various exosome-based cancer biomarkers and the clinical significance of recent studies on FET-based biosensors applying them.
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Affiliation(s)
- Jeongyun An
- Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-Ro, Nowon-Gu, Seoul, 01897, Republic of Korea
| | - Hyunjun Park
- Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-Ro, Nowon-Gu, Seoul, 01897, Republic of Korea
| | - Minyoung Ju
- Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-Ro, Nowon-Gu, Seoul, 01897, Republic of Korea
| | - Yeeun Woo
- Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-Ro, Nowon-Gu, Seoul, 01897, Republic of Korea
| | - Yoshep Seo
- Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-Ro, Nowon-Gu, Seoul, 01897, Republic of Korea
| | - Junhong Min
- School of Integrative Engineering, Chung-Ang University, Dongjak-Gu, Seoul, 06974, Republic of Korea.
| | - Taek Lee
- Department of Chemical Engineering, Kwangwoon University, 20 Kwangwoon-Ro, Nowon-Gu, Seoul, 01897, Republic of Korea.
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Maimaitiyiming A, An H, Xing C, Li X, Li Z, Bai J, Luo C, Zhuo T, Huang X, Maimaiti A, Aikemu A, Wang Y. Machine learning-driven mast cell gene signatures for prognostic and therapeutic prediction in prostate cancer. Heliyon 2024; 10:e35157. [PMID: 39170129 PMCID: PMC11336432 DOI: 10.1016/j.heliyon.2024.e35157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 07/23/2024] [Accepted: 07/24/2024] [Indexed: 08/23/2024] Open
Abstract
Background The role of Mast cells has not been thoroughly explored in the context of prostate cancer's (PCA) unpredictable prognosis and mixed immunotherapy outcomes. Our research aims to employs a comprehensive computational methodology to evaluate Mast cell marker gene signatures (MCMGS) derived from a global cohort of 1091 PCA patients. This approach is designed to identify a robust biomarker to assist in prognosis and predicting responses to immunotherapy. Methods This study initially identified mast cell-associated biomarkers from prostate adenocarcinoma (PRAD) patients across six international cohorts. We employed a variety of machine learning techniques, including Random Forest, Support Vector Machine (SVM), Lasso regression, and the Cox Proportional Hazards Model, to develop an effective MCMGS from candidate genes. Subsequently, an immunological assessment of MCMGS was conducted to provide new insights into the evaluation of immunotherapy responses and prognostic assessments. Additionally, we utilized Gene Set Enrichment Analysis (GSEA) and pathway analysis to explore the biological pathways and mechanisms associated with MCMGS. Results MCMGS incorporated 13 marker genes and was successful in segregating patients into distinct high- and low-risk categories. Prognostic efficacy was confirmed by survival analysis incorporating MCMGS scores, alongside clinical parameters such as age, T stage, and Gleason scores. High MCMGS scores were correlated with upregulated pathways in fatty acid metabolism and β-alanine metabolism, while low scores correlated with DNA repair mechanisms, homologous recombination, and cell cycle progression. Patients classified as low-risk displayed increased sensitivity to drugs, indicating the utility of MCMGS in forecasting responses to immune checkpoint inhibitors. Conclusion The combination of MCMGS with a robust machine learning methodology demonstrates considerable promise in guiding personalized risk stratification and informing therapeutic decisions for patients with PCA.
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Affiliation(s)
- Abudukeyoumu Maimaitiyiming
- The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China
- Department of Urological, Urology Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Hengqing An
- The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China
- Department of Urological, Urology Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
- Xinjiang Clinical Research Center of Urogenital Diseases, Urumqi, China
| | - Chen Xing
- The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China
- Department of Urological, Urology Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
- Xinjiang Clinical Research Center of Urogenital Diseases, Urumqi, China
| | - Xiaodong Li
- The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China
- Department of Urological, Urology Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
- Xinjiang Clinical Research Center of Urogenital Diseases, Urumqi, China
| | - Zhao Li
- Department of Abdominal Ultrasonography, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Junbo Bai
- Department of Pediatric Urology, Urology Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Cheng Luo
- The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China
- Department of Urological, Urology Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Tao Zhuo
- The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China
- Department of Urological, Urology Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Xin Huang
- The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China
- Department of Urological, Urology Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | - Aierpati Maimaiti
- The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China
- Department of Neurosurgery, Neurosurgery Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
| | | | - Yujie Wang
- The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China
- Department of Urological, Urology Centre, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China
- Xinjiang Clinical Research Center of Urogenital Diseases, Urumqi, China
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Lee J, Lee JH, Lee SY, Park SA, Kim JH, Hwang D, Kim KA, Kim HS. Antioxidant Iron Oxide Nanoparticles: Their Biocompatibility and Bioactive Properties. Int J Mol Sci 2023; 24:15901. [PMID: 37958885 PMCID: PMC10649306 DOI: 10.3390/ijms242115901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 10/29/2023] [Accepted: 11/01/2023] [Indexed: 11/15/2023] Open
Abstract
A lot of nanomaterials have been applied to various nano-biotechnological fields, such as contrast agents, drug or gene delivery systems, cosmetics, and so on. Despite the expanding usage of nanomaterials, concerns persist regarding their potential toxicity. To address this issue, many scientists have tried to develop biocompatible nanomaterials containing phytochemicals as a promising solution. In this study, we synthesized biocompatible nanomaterials by using gallic acid (GA), which is a phytochemical, and coating it onto the surface of iron oxide nanoparticles (IONPs). Importantly, the GA-modified iron oxide nanoparticles (GA-IONPs) were successfully prepared through environmentally friendly methods, avoiding the use of harmful reagents and extreme conditions. The presence of GA on the surface of IONPs improved their stability and bioactive properties. In addition, cell viability assays proved that GA-IONPs possessed excellent biocompatibility in human dermal papilla cells (HDPCs). Additionally, GA-IONPs showed antioxidant activity, which reduced intracellular reactive oxygen species (ROS) levels in an oxidative stress model induced by hydrogen peroxide (H2O2). To investigate the impact of GA-IONPs on exosome secretions from oxidative stress-induced cells, we analyzed the number and characteristics of exosomes in the culture media of HDPCs after H2O2 stimulation or GA-IONP treatment. Our analysis revealed that both the number and proportions of tetraspanins (CD9, CD81, and CD63) in exosomes were similar in the control group and the GA-IONP-treated groups. In contrast, exosome secretion was increased, and the proportion of tetraspanin was changed in the H2O2-treated group compared to the control group. It demonstrated that treatment with GA-IONPs effectively attenuated exosome secretion induced by H2O2-induced oxidative stress. Therefore, this GA-IONP exhibited outstanding promise for applications in the field of nanobiotechnology.
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Affiliation(s)
- Jaewook Lee
- Research Institute for Biomolecular Chemistry, Dongguk University, Seoul 04620, Republic of Korea
| | - Ji-Heon Lee
- 4D Convergence Technology Institute (National Key Technology Institute in University), Korea National University of Transportation, Jungpyeong 27909, Republic of Korea
| | - Seung-Yeul Lee
- Genomictree, Inc., 44-6 10-ro Techno, Daejeon 34027, Republic of Korea
| | - Sin A Park
- Genomictree, Inc., 44-6 10-ro Techno, Daejeon 34027, Republic of Korea
| | - Jae Hoon Kim
- Genomictree, Inc., 44-6 10-ro Techno, Daejeon 34027, Republic of Korea
| | - Dajeong Hwang
- Department of Chemical Engineering and Applied Chemistry, Chungnam National University, Daejeon 34134, Republic of Korea
| | - Kyung A Kim
- Yonsei Cancer Center, Seoul 30722, Republic of Korea (H.S.K.)
| | - Han Sang Kim
- Yonsei Cancer Center, Seoul 30722, Republic of Korea (H.S.K.)
- Division of Medical Oncology, Department of Internal Medicine, Graduate School of Medical Science Brain Korea 21 Project, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
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Jalalian SH, Ramezani M, Jalalian SA, Abnous K, Taghdisi SM. Exosomes, new biomarkers in early cancer detection. Anal Biochem 2019; 571:1-13. [PMID: 30776327 DOI: 10.1016/j.ab.2019.02.013] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Revised: 01/26/2019] [Accepted: 02/13/2019] [Indexed: 02/07/2023]
Abstract
Exosomes are endosomal-derived vesicles, playing a major role in cell-to-cell communication. Multiple cells secret these vesicles to induce and inhibit different cellular and molecular pathways. Cancer-derived exosomes have been shown to affect development of cancer in different stages and contribute to the recruitment and reprogramming of both proximal and distal tissues. The growing interest in defining the clinical relevance of these nano-sized particles in cancers, has led to the identification of either tissue- or disease-specific exosomal contents, such as nucleic acids, proteins and lipids as a source of new biomarkers which propose the diagnostic potentials of exosomes in early detection of cancers. In this review, we have discussed some aspects of exosomes including their contents, applications and isolation techniques in the field of early cancer detection. Although, exosomes are considered as ideal biomarkers in cancer diagnosis, due to their unique characteristics, there is still a long way in the development of exosome-based assays.
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Affiliation(s)
- Seyed Hamid Jalalian
- Pharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Students Research Committee, Department of Pharmaceutical Nanotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran; Academic Center for Education, Culture and Research (ACECR)-Mashhad Branch, Mashhad, Iran
| | - Mohammad Ramezani
- Nanotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Seyed Ali Jalalian
- Students Research Committee, Department of Pharmaceutical Nanotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Khalil Abnous
- Pharmaceutical Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Seyed Mohammad Taghdisi
- Targeted Drug Delivery Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Department of Pharmaceutical Biotechnology, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran.
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Brosseau C, Colas L, Magnan A, Brouard S. CD9 Tetraspanin: A New Pathway for the Regulation of Inflammation? Front Immunol 2018; 9:2316. [PMID: 30356731 PMCID: PMC6189363 DOI: 10.3389/fimmu.2018.02316] [Citation(s) in RCA: 79] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2018] [Accepted: 09/18/2018] [Indexed: 12/21/2022] Open
Abstract
CD9 belongs to the tetraspanin superfamily. Depending on the cell type and associated molecules, CD9 has a wide variety of biological activities such as cell adhesion, motility, metastasis, growth, signal transduction, differentiation, and sperm-egg fusion. This review focuses on CD9 expression by hematopoietic cells and its role in modulating cellular processes involved in the regulation of inflammation. CD9 is functionally very important in many diseases and is involved either in the regulation or in the mediation of the disease. The role of CD9 in various diseases, such as viral and bacterial infections, cancer and chronic lung allograft dysfunction, is discussed. This review focuses also on its interest as a biomarker in diseases. Indeed CD9 is primarily known as a specific exosome marker however, its expression is now recognized as an anti-inflammatory marker of monocytes and macrophages. It was also described as a marker of murine IL-10-competent Breg cells and IL-10-secreting CD9+ B cells were associated with better allograft outcome in lung transplant patients, and identified as a new predictive biomarker of long-term survival. In the field of cancer, CD9 was both identified as a favorable prognostic marker or as a predictor of metastatic potential depending on cancer types. Finally, this review discusses strategies to target CD9 as a therapeutic tool. Because CD9 can have opposite effects depending on the situation, the environment and the pathology, modulating CD9 expression or blocking its effects seem to be a new promising therapeutic strategy.
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Affiliation(s)
- Carole Brosseau
- Centre de Recherche en Transplantation et Immunologie UMR 1064, INSERM, Université de Nantes, Nantes, France.,Institut de Transplantation Urologie Néphrologie, CHU Nantes, Nantes, France
| | - Luc Colas
- Centre de Recherche en Transplantation et Immunologie UMR 1064, INSERM, Université de Nantes, Nantes, France.,Institut du Thorax, Plateforme Transversale d'Allergologie, CHU de Nantes, Nantes, France
| | - Antoine Magnan
- Institut du Thorax, Plateforme Transversale d'Allergologie, CHU de Nantes, Nantes, France.,Institut du thorax, Inserm UMR 1087, CNRS UMR 6291, Université de Nantes, Nantes, France
| | - Sophie Brouard
- Centre de Recherche en Transplantation et Immunologie UMR 1064, INSERM, Université de Nantes, Nantes, France.,Institut de Transplantation Urologie Néphrologie, CHU Nantes, Nantes, France
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Liang P, Miao M, Liu Z, Wang H, Jiang W, Ma S, Li C, Hu R. CD9 expression indicates a poor outcome in acute lymphoblastic leukemia. Cancer Biomark 2018; 21:781-786. [PMID: 29286918 DOI: 10.3233/cbm-170422] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE We undertook a single-center retrospective study to determine the relationship between CD9 and acute lymphoblastic leukemia (ALL). MATERIALS AND METHODS In total, 112 newly diagnosed patients in our center were enrolled in the study. Their clinical information was collected and the patients werefollowed over the course of the study. Flow cytometry was used to detect the expression of CD9. RESULTS CD9 expression was more common in B cell acute lymphoblastic leukemia (B-ALL) and patients > 40 years old. CD9-positive patients exhibited a higher BCR-ABL fusion gene positive rate and higher neutrophil counts than CD9 negative patients (P= 0.004 and P= 0.004, respectively). Response to induction chemotherapy was not dependent on CD9 expression. CD9-positive patients had a lower 2-year overall survival rate than CD9-negative patients. CONCLUSION CD9 expression predicts some clinical characteristics and indicates an unfavorable prognosis in ALL patients.
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