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Wang J, Wang H, Ding Y, Jiao X, Zhu J, Zhai Z. NET-related gene signature for predicting AML prognosis. Sci Rep 2024; 14:9115. [PMID: 38643300 PMCID: PMC11032381 DOI: 10.1038/s41598-024-59464-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Accepted: 04/11/2024] [Indexed: 04/22/2024] Open
Abstract
Acute Myeloid Leukemia (AML) is a malignant blood cancer with a high mortality rate. Neutrophil extracellular traps (NETs) influence various tumor outcomes. However, NET-related genes (NRGs) in AML had not yet received much attention. This study focuses on the role of NRGs in AML and their interaction with the immunological microenvironment. The gene expression and clinical data of patients with AML were downloaded from the TCGA-LAML and GEO cohorts. We identified 148 NRGs through the published article. Univariate Cox regression was used to analyze the association of NRGs with overall survival (OS). The least absolute shrinkage and selection operator were utilized to assess the predictive efficacy of NRGs. Kaplan-Meier plots visualized survival estimates. ROC curves assessed the prognostic value of NRG-based features. A nomogram, integrating clinical information and prognostic scores of patients, was constructed using multivariate logistic regression and Cox proportional hazards regression models. Twenty-seven NRGs were found to significantly impact patient OS. Six NRGs-CFTR, ENO1, PARVB, DDIT4, MPO, LDLR-were notable for their strong predictive ability regarding patient survival. The ROC values for 1-, 3-, and 5-year survival rates were 0.794, 0.781, and 0.911, respectively. In the training set (TCGA-LAML), patients in the high NRG risk group showed a poorer prognosis (p < 0.001), which was validated in two external datasets (GSE71014 and GSE106291). The 6-NRG signature and corresponding nomograms exhibit superior predictive accuracy, offering insights for pre-immune response evaluation and guiding future immuno-oncology treatments and drug selection for AML patients.
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Affiliation(s)
- Jiajia Wang
- Department of Hematology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China
- Center of Hematology Research, Anhui Medical University, Hefei, 230601, Anhui, China
- Department of Hematology, Tongling People's Hospital, Tongling, 244000, Anhui, China
| | - Huiping Wang
- Department of Hematology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China
- Center of Hematology Research, Anhui Medical University, Hefei, 230601, Anhui, China
| | - Yangyang Ding
- Department of Hematology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China
- Center of Hematology Research, Anhui Medical University, Hefei, 230601, Anhui, China
| | - Xunyi Jiao
- Department of Hematology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China
- Center of Hematology Research, Anhui Medical University, Hefei, 230601, Anhui, China
| | - Jinli Zhu
- Department of Hematology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China
- Center of Hematology Research, Anhui Medical University, Hefei, 230601, Anhui, China
| | - Zhimin Zhai
- Department of Hematology, The Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, Anhui, China.
- Center of Hematology Research, Anhui Medical University, Hefei, 230601, Anhui, China.
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2
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Wang WJ, Gehris BT, Rivera D, Ak S, Feng D, Wang W, Hu Z. Bone marrow-restricted aberrant myeloperoxidase expression in B-acute lymphoblastic leukemia: A diagnostic dilemma and mimicry of mixed phenotype acute leukemia. EJHAEM 2024; 5:403-407. [PMID: 38633116 PMCID: PMC11020126 DOI: 10.1002/jha2.855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 01/06/2024] [Accepted: 01/16/2024] [Indexed: 04/19/2024]
Abstract
Myeloperoxidase (MPO) is the most specific marker of the myeloid lineage, essential for diagnosing acute myeloid leukemia and mixed phenotype acute leukemia with myeloid components. In this regard, we present a unique case of B-acute lymphoblastic leukemia (B-ALL) with isolated MPO expression in bone marrow blasts detected by flow cytometry and immunohistochemistry, while peripheral blood blasts were negative for MPO expression. In this report, our discussion encompasses diagnostic pitfalls from a laboratory testing perspective in similar cases and includes a literature review. Furthermore, we emphasize the necessity of conducting a comprehensive analysis for the accurate diagnosis of MPO-positive B-ALL cases.
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Affiliation(s)
- Wei J. Wang
- Department of Pathology and Laboratory MedicineThe University of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Brandon T. Gehris
- Department of Pathology and Laboratory MedicineThe University of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Daniel Rivera
- Department of Pathology and Laboratory MedicineThe University of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Sibel Ak
- Department of Pathology and Laboratory MedicineThe University of Texas Health Science Center at HoustonHoustonTexasUSA
| | | | - Wei Wang
- Department of HematopathologyThe University of Texas MD Anderson Cancer CenterHoustonTexasUSA
| | - Zhihong Hu
- Department of Laboratory MedicineThe University of Texas MD Anderson Cancer CenterHoustonTexasUSA
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3
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Liang X, Pacuła-Miszewska AJ, Vartak R, Prajapati M, Zheng H, Zhao C, Mao G, Patel K, Fedosova NU, Ścianowski J, Billack B. N-3-Methylbutyl-benzisoselenazol-3(2H)-one Exerts Antifungal Activity In Vitro and in a Mouse Model of Vulvovaginal Candidiasis. Curr Issues Mol Biol 2024; 46:2480-2496. [PMID: 38534773 DOI: 10.3390/cimb46030157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/04/2024] [Accepted: 03/04/2024] [Indexed: 03/28/2024] Open
Abstract
In the present work, we evaluated the antifungal activities of two novel ebselen analogs, N-allyl-benzisoselenazol-3(2H)-one (N-allyl-bs) and N-3-methylbutylbenzisoselenazol-3(2H)-one (N-3mb-bs). Colorimetric and turbidity assays were performed to determine the minimum inhibitory concentration (MIC) of these compounds in S1 (fluconazole-sensitive) and S2 (fluconazole-resistant) strains of C. albicans. N-3mb-bs was more active than the N-allyl-bs compound. It is noteworthy that the concentration of N-3mb-bs observed to inhibit fungal growth by 50% (18.2 µM) was similar to the concentration observed to inhibit the activity of the yeast plasma membrane H+-ATPase (Pma1p) by 50% (19.6 µM). We next implemented a mouse model of vulvovaginal candidiasis (VVC) using the S1 strain and examined the mouse and yeast proteins present in the vaginal lavage fluid using proteomics. The yeast proteins detected were predominately glycolytic enzymes or virulence factors associated with C. albicans while the mouse proteins present in the lavage fluid included eosinophil peroxidase, desmocollin-1, and gasdermin-A. We then utilized the N-3mb-bs compound (12.5 mg/kg) in the mouse VVC model and observed that it significantly reduced the vaginal fungal burden, histopathological changes in vagina tissue, and expression of myeloperoxidase (MPO). All in all, the present work has identified a potentially promising drug candidate for VVC treatment.
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Affiliation(s)
- Xiuyi Liang
- Department of Pharmaceutical Sciences, St. John's University, Queens, NY 11439, USA
| | | | - Richa Vartak
- Department of Pharmaceutical Sciences, St. John's University, Queens, NY 11439, USA
| | - Milankumar Prajapati
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI 02912, USA
| | - Haiyan Zheng
- Center for Advanced Biotechnology and Medicine, Piscataway, NJ 08854, USA
| | - Caifeng Zhao
- Center for Advanced Biotechnology and Medicine, Piscataway, NJ 08854, USA
| | - Ganming Mao
- Department of Pharmaceutical Sciences, St. John's University, Queens, NY 11439, USA
| | - Ketankumar Patel
- Department of Pharmaceutical Sciences, St. John's University, Queens, NY 11439, USA
| | | | - Jacek Ścianowski
- Faculty of Chemistry, Nicolaus Copernicus University, 87-100 Toruń, Poland
| | - Blase Billack
- Department of Pharmaceutical Sciences, St. John's University, Queens, NY 11439, USA
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Li S, Zheng S, Huang X, Zhang W, Liu F, Cao Q. Expression and Clinical Significance of CD30 and CD56 in Lymphoblastic Lymphoma: A Retrospective Analysis on Paraffin-Embedded Tissues by Immunohistochemistry. Fetal Pediatr Pathol 2024; 43:111-122. [PMID: 38213180 DOI: 10.1080/15513815.2023.2301459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 12/27/2023] [Indexed: 01/13/2024]
Abstract
Background: We evaluated CD30 and CD56 expression in lymphoblastic lymphoma (LBL) and correlated the results with clinicopathological features and prognosis. Methods: Immunohistochemical (IHC) staining was performed on 85 formalin-fixed paraffin-embedded LBL specimens using two CD30 clones and one CD56 antibody clone. Results: Weak and diffuse expression of CD30 was expressed in 4.7% (clone Ber-H2) or 14.1% (clone EPR4102) in LBL, while CD56 was expressed in 24.7%. CD30 and CD56 expression correlated with lactate dehydrogenase levels. CD56-positive expression was closely associated with an unfavorable prognosis. Although CD30 expression exhibited a trend toward poorer overall survival, it did not reach statistical significance. Conclusion: CD56 is a potential negative prognostic marker. These findings suggest that CD30 and CD56 targeted therapies could be potential therapeutic targets for LBL patients.
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Affiliation(s)
- Shuqi Li
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Shuang Zheng
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Department of Pathology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China
| | - Xinyi Huang
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Wenhui Zhang
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Fang Liu
- State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Viral Hepatitis Research, Department of Infectious Diseases, Department of Liver Tumor Center, Nanfang Hospital, Southern Medical University, Guangzhou, China
- Department of Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Qinghua Cao
- Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
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5
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Liang H, Kong X, Cao Z, Wang H, Liu E, Sun F, Qi J, Zhang Q, Zhou Y. Bioinformatics and Raman spectroscopy-based identification of key pathways and genes enabling differentiation between acute myeloid leukemia and T cell acute lymphoblastic leukemia. Front Immunol 2023; 14:1194353. [PMID: 37266435 PMCID: PMC10229868 DOI: 10.3389/fimmu.2023.1194353] [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: 03/27/2023] [Accepted: 05/04/2023] [Indexed: 06/03/2023] Open
Abstract
Acute myeloid leukemia (AML) and T cell acute lymphoblastic leukemia (T-ALL) are two of the most prevalent hematological malignancies diagnosed among adult leukemia patients, with both being difficult to treat and associated with high rates of recurrence and mortality. In the present study, bioinformatics approaches were used to analyze both of these types of leukemia in an effort to identify characteristic gene expression patterns that were subsequently validated via Raman spectroscopy. For these analyses, four Gene Expression Omnibus datasets (GSE13204, GSE51082, GSE89565, and GSE131184) pertaining to acute leukemia were downloaded, and differentially expressed genes (DEGs) were then identified through comparisons of AML and T-ALL patient samples using the R Bioconductor package. Shared DEGs were then subjected to Gene Ontology (GO) enrichment analyses and were used to establish a protein-protein interaction (PPI) network analysis. In total, 43 and 129 upregulated and downregulated DEGs were respectively identified. Enrichment analyses indicated that these DEGs were closely tied to immune function, collagen synthesis and decomposition, inflammation, the synthesis and decomposition of lipopolysaccharide, and antigen presentation. PPI network module clustering analyses further led to the identification of the top 10 significantly upregulated and downregulated genes associated with disease incidence. These key genes were then validated in patient samples via Raman spectroscopy, ultimately confirming the value of these genes as tools that may aid the differential diagnosis and treatment of AML and T-ALL. Overall, these results thus highlight a range of novel pathways and genes that are linked to the incidence and progression of AML and T-ALL, providing a list of important diagnostic and prognostic molecular markers that have the potential to aid in the clinical diagnosis and treatment of these devastating malignancies.
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Affiliation(s)
- Haoyue Liang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Xiaodong Kong
- Department of Geriatrics, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhijie Cao
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Haoyu Wang
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Ertao Liu
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Fanfan Sun
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Jianwei Qi
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
| | - Qiang Zhang
- Department of Geriatrics, Tianjin Geriatrics Institute, Tianjin Medical University General Hospital, Tianjin, China
| | - Yuan Zhou
- State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Institutes of Health Science, Tianjin, China
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6
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Abstract
Acute leukemias of ambiguous lineage are a heterogenous group of diseases that include acute undifferentiated leukemias and mixed-phenotype acute leukemias (MPALs). These leukemias pose a challenge for pathologists and clinicians alike in diagnosis, treatment, and further management. Recent genetic characterization has provided insights into their underlying biology and classification, and has offered potential for targeted therapies. This article addresses diagnosis of MPALs with examples of the most common pitfalls, recent comprehensive molecular studies, and advancement in treatment and follow-up modalities.
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Affiliation(s)
- Nidhi Aggarwal
- Department of Pathology, University of Pittsburgh, School of Medicine, Hill Building, 3477 Euler Way, Pittsburgh, PA 15213, USA.
| | - Olga K Weinberg
- Department of Pathology, University of Texas Southwestern, Texas, BioCenter, 2230 Inwood Road, EB03.220G, Dallas, TX 75235, USA
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7
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Bras AE, Osmani Z, de Haas V, Jongen-Lavrencic M, Te Marvelde JG, Zwaan CM, Mejstrikova E, Fernandez P, Szczepanski T, Orfao A, van Dongen JJM, van der Velden VHJ. Standardised immunophenotypic analysis of myeloperoxidase in acute leukaemia. Br J Haematol 2020; 193:922-927. [PMID: 33161592 PMCID: PMC8247412 DOI: 10.1111/bjh.17210] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 10/08/2020] [Indexed: 12/13/2022]
Abstract
Given its myeloid‐restricted expression, myeloperoxidase (MPO) is typically used for lineage assignment (myeloid vs. lymphoid) during acute leukaemia (AL) diagnostics. In the present study, a robust flow cytometric definition for MPO positivity was established based on the standardised EuroFlow protocols, the standardised Acute Leukaemia Orientation Tube and 1734 multicentre AL cases (with confirmed assay stability). The best diagnostic performance was achieved by defining MPO positivity as ≥20% of the AL cells exceeding a lymphocyte‐based threshold. The methodology employed should be applicable to any form of standardised flow cytometry.
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Affiliation(s)
- Anne E Bras
- Laboratory Medical Immunology (LMI), Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Zgjim Osmani
- Laboratory Medical Immunology (LMI), Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Valerie de Haas
- Dutch Childhood Oncology Group, Utrecht, the Netherlands.,Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Mojca Jongen-Lavrencic
- Department of Hematology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Jeroen G Te Marvelde
- Laboratory Medical Immunology (LMI), Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - C Michel Zwaan
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands.,Department of Pediatric Oncology/Hematology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Ester Mejstrikova
- CLIP-Childhood Leukaemia Investigation Prague, Department of Paediatric Haematology and Oncology, Second Faculty of Medicine, Charles University, University Hospital Motol, Prague, Czech Republic
| | - Paula Fernandez
- Institute for Laboratory Medicine, Kantonsspital Aarau AG, Aarau, Switzerland
| | - Tomasz Szczepanski
- Department of Pediatric Hematology and Oncology, Zabrze, Medical University of Silesia (SUM), Katowice, Poland
| | - Alberto Orfao
- Cancer Research Center (IBMCC-CSIC), Department of Medicine and Cytometry Service, University of Salamanca (USAL), Institute of Biomedical Research of Salamanca (IBSAL), Salamanca, Spain.,Centro de Investigaciόn Biomédicaen Red de Cáncer, Instituto Carlos III, Madrid, Spain
| | | | - Vincent H J van der Velden
- Laboratory Medical Immunology (LMI), Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
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Tawfiq S, Yassin A, AlGetta H, Hasan K. Acute myeloblastic leukemia: Important clinical and epidemiological facts from Hiwa Hospital in Sulaimaniyah, Iraq. IRAQI JOURNAL OF HEMATOLOGY 2019. [DOI: 10.4103/ijh.ijh_11_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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9
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Tan J, Lai Z, Zhong L, Zhang Z, Zheng R, Su J, Huang Y, Huang P, Song H, Yang N, Zhou S, Zhao Y. A Graphene Oxide-Based Fluorescent Aptasensor for the Turn-on Detection of CCRF-CEM. NANOSCALE RESEARCH LETTERS 2018; 13:66. [PMID: 29605867 PMCID: PMC5878827 DOI: 10.1186/s11671-017-2403-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2017] [Accepted: 12/05/2017] [Indexed: 06/08/2023]
Abstract
A convenient, low-cost, and highly sensitive fluorescent aptasensor for detection of leukemia has been developed based on graphene oxide-aptamer complex (GO-apt). Graphene oxide (GO) can absorb carboxyfluorescein-labeled Sgc8 aptamer (FAM-apt) by π-π stacking and quench the fluorescence through fluorescence resonance energy transfer (FRET). In the absence of Sgc8 target cell CCRF-CEM, the fluorescence is almost all quenched. Conversely, when the CCRF-CEM cells are added, the quenched fluorescence can be recovered rapidly and significantly. Therefore, based on the change of fluorescence signals, we can detect the number of CCRF-CEM cells in a wide range from 1 × 102 to 1 × 107 cells/mL with a limit of detection (LOD) of 10 cells/mL. Therefore, this strategy of graphene oxide-based fluorescent aptasensor may be promising for the detection of cancer.
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Affiliation(s)
- Jie Tan
- National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Zongqiang Lai
- National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Liping Zhong
- National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Zhenghua Zhang
- National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Rong Zheng
- National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Jing Su
- National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Yong Huang
- National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Panpan Huang
- National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Hui Song
- National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Nuo Yang
- National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Sufang Zhou
- National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021 China
| | - Yongxiang Zhao
- National Center for International Research of Biological Targeting Diagnosis and Therapy, Guangxi Key Laboratory of Biological Targeting Diagnosis and Therapy Research, Collaborative Innovation Center for Targeting Tumor Diagnosis and Therapy, Guangxi Medical University, Nanning, Guangxi 530021 China
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