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Li Q, Liu H, Wang H, Xiong W, Dai L, Zhang X, Wang P, Ye H, Shi J, Fang Z, Wang K. Anti-BIRC5 autoantibody serves as a valuable biomarker for diagnosing AFP-negative hepatocellular carcinoma. PeerJ 2024; 12:e17494. [PMID: 38832035 PMCID: PMC11146321 DOI: 10.7717/peerj.17494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 05/09/2024] [Indexed: 06/05/2024] Open
Abstract
Background Autoantibodies targeting tumor-associated antigens (TAAbs) have emerged as promising biomarkers for early cancer detection. This research aimed to assess the diagnostic capacity of anti-BIRC5 autoantibody in detecting AFP-negative hepatocellular carcinoma (ANHCC). Methods This research was carried out in three stages (discovery phase, validation phase, and evaluation phase) and included a total of 744 participants. Firstly, the anti-BIRC5 autoantibody was discovered using protein microarray, exhibiting a higher positive rate in ANHCC samples (ANHCCs) compared to normal control samples (NCs). Secondly, the anti-BIRC5 autoantibody was validated through enzyme-linked immunosorbent assay (ELISA) in 85 ANHCCs and 85 NCs from two clinical centers (Zhengzhou and Nanchang). Lastly, the diagnostic usefulness of the anti-BIRC5 autoantibody for hepatocellular carcinoma (HCC) was evaluated by ELISA in a cohort consisting of an additional 149 AFP-positive hepatocellular carcinoma samples (APHCCs), 95 ANHCCs and 244 NCs. The association of elevated autoantibody to high expression of BIRC5 in HCC was further explored by the database from prognosis, immune infiltration, DNA methylation, and gene mutation level. Results In the validation phase, the area under the ROC curve (AUC) of anti-BIRC5 autoantibody to distinguish ANHCCs from NCs in Zhengzhou and Nanchang centers was 0.733 and 0.745, respectively. In the evaluation phase, the AUCs of anti-BIRC5 autoantibody for identifying ANHCCs and HCCs from NCs were 0.738 and 0.726, respectively. Furthermore, when combined with AFP, the AUC for identifying HCCs from NCs increased to 0.914 with a sensitivity of 77.5% and specificity of 91.8%. High expression of BIRC5 gene is not only correlated with poor prognosis of HCCs, but also significantly associated with infiltration of immune cells, DNA methylation, and gene mutation. Conclusion The findings suggest that the anti-BIRC5 autoantibody could serve as a potential biomarker for ANHCC, in addition to its supplementary role alongside AFP in the diagnosis of HCC. Next, we can carry out specific verification and explore the function of anti-BIRC5 autoantibody in the occurrence and development of HCC.
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Affiliation(s)
- Qing Li
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention & Treatment, Zhengzhou University, Zhengzhou, Henan, China
- School of Basic Medical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou, China
| | - Haiyan Liu
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Han Wang
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Wenzhuo Xiong
- School of Basic Medical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou, China
| | - Liping Dai
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
- School of Basic Medical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou, China
| | - Xiuzhi Zhang
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
- School of Basic Medical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou, China
- Department of Pathology, Henan Medical College, Zhengzhou, Henan, China
| | - Peng Wang
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Hua Ye
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Jianxiang Shi
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou, China
| | - Zhihao Fang
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Keyan Wang
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
- School of Basic Medical Sciences, Academy of Medical Science, Zhengzhou University, Zhengzhou, Henan, China
- Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou, China
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Al-Hamaly MA, Turner LT, Rivera-Martinez A, Rodriguez A, Blackburn JS. Zebrafish Cancer Avatars: A Translational Platform for Analyzing Tumor Heterogeneity and Predicting Patient Outcomes. Int J Mol Sci 2023; 24:2288. [PMID: 36768609 PMCID: PMC9916713 DOI: 10.3390/ijms24032288] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Revised: 01/17/2023] [Accepted: 01/19/2023] [Indexed: 01/26/2023] Open
Abstract
The increasing number of available anti-cancer drugs presents a challenge for oncologists, who must choose the most effective treatment for the patient. Precision cancer medicine relies on matching a drug with a tumor's molecular profile to optimize the therapeutic benefit. However, current precision medicine approaches do not fully account for intra-tumoral heterogeneity. Different mutation profiles and cell behaviors within a single heterogeneous tumor can significantly impact therapy response and patient outcomes. Patient-derived avatar models recapitulate a patient's tumor in an animal or dish and provide the means to functionally assess heterogeneity's impact on drug response. Mouse xenograft and organoid avatars are well-established, but the time required to generate these models is not practical for clinical decision-making. Zebrafish are emerging as a time-efficient and cost-effective cancer avatar model. In this review, we highlight recent developments in zebrafish cancer avatar models and discuss the unique features of zebrafish that make them ideal for the interrogation of cancer heterogeneity and as part of precision cancer medicine pipelines.
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Affiliation(s)
- Majd A. Al-Hamaly
- Pharmacology and Nutritional Sciences, University of Kentucky, Lexington, KY 40356, USA
- Markey Cancer Center, University of Kentucky, Lexington, KY 40536, USA
| | - Logan T. Turner
- Markey Cancer Center, University of Kentucky, Lexington, KY 40536, USA
- Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY 40356, USA
| | | | - Analiz Rodriguez
- Department of Neurosurgery, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Jessica S. Blackburn
- Markey Cancer Center, University of Kentucky, Lexington, KY 40536, USA
- Molecular and Cellular Biochemistry, University of Kentucky, Lexington, KY 40356, USA
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Establishment and characterization of an ovarian yolk sac tumor patient-derived xenograft model. Pediatr Surg Int 2021; 37:1031-1040. [PMID: 34031745 DOI: 10.1007/s00383-021-04895-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/23/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE The lack of appropriate preclinical models of ovarian yolk sac tumor (OYST) is currently hindering the pursuit of new methods of treatment and investigation of the pathogenesis of the disease. We developed and characterized an OYST patient-derived xenograft (PDX) model in this study. METHODS Tumor fragments from a patient with an OYST were implanted subcutaneously into BALB/c Nude mice. Engrafted xenografts were compared with the original tumor according to histology, immunohistochemistry, humanized identified, and drug efficacy testing with in vivo treatment programs. RESULTS There was a high degree of histologic and immunohistochemical (IHC) resemblance between the established PDX model and its corresponding human tumors. Bleomycin, etoposide, and cisplatin (JEB) chemotherapy regimens were effective in clinical patients and were effective in the OYST PDX model; therefore, the effect of PDX intervention was consistent with clinical outcomes of OYSTs. CONCLUSION We have successfully established an OYST PDX model. This OYST model preserves the basic molecular features of the primary human tumor, thereby providing a valuable method to preclinically evaluate new treatments and explore disease pathogenesis.
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Xu C, Li X, Liu P, Li M, Luo F. Patient-derived xenograft mouse models: A high fidelity tool for individualized medicine. Oncol Lett 2018; 17:3-10. [PMID: 30655732 PMCID: PMC6313209 DOI: 10.3892/ol.2018.9583] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Accepted: 05/16/2017] [Indexed: 12/31/2022] Open
Abstract
Patient-derived xenograft (PDX) mouse models involve the direct transfer of fresh human tumor samples into immunodeficient mice following surgical resection or other medical operations. Gene expression in tumors may be maintained by serial passages of tumors from mouse to mouse. These models aid research into tumor biology and pharmacology without manual manipulation of cell cultures in vitro. and are widely used in individualized cancer therapy/translational medicine, drug development and coclinical trials. PDX models exhibit higher predictive values for clinical outcomes than cell line-derived xenograft models and genetically engineered mouse models. However, PDX models are associated with certain challenges in clinical application. The present study reviewed current collections of PDX models and assessed the challenges and future directions of this field.
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Affiliation(s)
- Cong Xu
- Department of Acute Abdomen Surgery, The Second Hospital of Dalian Medical University, Dalian, Liaoning 116023, P.R. China
| | - Xuelu Li
- Department of Breast Surgery and Oncology, The Second Hospital of Dalian Medical University, Dalian, Liaoning 116023, P.R. China
| | - Pixu Liu
- Institute of Cancer Stem Cell, Dalian Medical University, Dalian, Liaoning 116044, P.R. China.,College of Pharmacy, Dalian Medical University, Dalian, Liaoning 116044, P.R. China
| | - Man Li
- Department of Breast Surgery and Oncology, The Second Hospital of Dalian Medical University, Dalian, Liaoning 116023, P.R. China
| | - Fuwen Luo
- Department of Acute Abdomen Surgery, The Second Hospital of Dalian Medical University, Dalian, Liaoning 116023, P.R. China
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Zhang R, Wu X, Xia X, Khanniche A, Song F, Zhang B, Wang Y, Ge H. OVA12 promotes tumor growth by regulating p53 expression in human cancer cells. Oncotarget 2017; 8:52854-52865. [PMID: 28881777 PMCID: PMC5581076 DOI: 10.18632/oncotarget.17501] [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: 08/04/2016] [Accepted: 04/10/2017] [Indexed: 11/30/2022] Open
Abstract
Ovarian cancer-associated antigen 12 (OVA12) was first identified in an ovarian carcinoma complementary DNA (cDNA) expression library and has been shown to play an important role in tumor growth. Here, we found that overexpression of OVA12 accelerated tumor growth in different tumor cells, whereas OVA12 depletion was associated with the opposite effect. Moreover, knocking down OVA12 led to a significant increase in the protein levels of p53, and the overexpression of OVA12 significantly decreased endogenous p53 levels. In addition, OVA12 stimulated p53 polyubiquitination and degradation by the proteasome and promoted tumor growth at least partially through the p53 pathway. Taken together, these results indicate that OVA12 is a negative regulator of p53 and that inhibition of OVA12 expression might serve as a therapeutic target to restore tumor suppression.
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Affiliation(s)
- Renfeng Zhang
- Department of Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Xicai Wu
- Clinical Laboratory, People's Hospital of Rizhao, Rizhao, China
| | - Xiangfeng Xia
- Department of Radiology, The Third People's Hospital of Rizhao, Rizhao, China
| | - Asma Khanniche
- Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Feifei Song
- Department of Pathology, Tenth People's Hospital of Tongji University, Shanghai, China
| | - Bingchang Zhang
- Department of Laboratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan, China
| | - Ying Wang
- Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hailiang Ge
- Shanghai Institute of Immunology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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凌 晨, 刘 蜀, 王 勇, 张 逢, 杜 鹰. [Role of miR-206/CDK4 in modulating the growth and chemotlerapy sensitivity of ovarian cancer cells]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2017; 37:393-397. [PMID: 28377359 PMCID: PMC6780432 DOI: 10.3969/j.issn.1673-4254.2017.03.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 06/18/2016] [Indexed: 06/07/2023]
Abstract
OBJECTIVE To explore role of miR-206 in modulating the growth and chemotherapy sensitivity in ovarian cancer cells. METHODS Real-time PCR was used to detect the expression of miR-206 in ovarian cancer and normal ovarian tissues. Ovarian cancer SKOV3 cells were transfected with a miR-206 mimic or a specific inhibitor of miR-206, and MTT assay and flow cytometry were used to detect the changes in cell growth and cell cycle transition. Western blotting and luciferase reporter gene assay were employed to identify the target gene and signal pathways of miR-206. The effect of miR-206 on the sensitivity of ovarian cancer cells to 5-Fu was assessed. RESULTS miR-206 was down-regulated in ovarian cancer tissues compared to normal ovarian tissues. Transfection of SKOV3 cells with the miR-206 mimic resulted in obvious growth suppression and delayed cell cycle transition from G1 to S phase by suppressing CDK4, c-Myc, and CCND1 expressions. Transfection with the miR-206 inhibitor obviously promoted the cell growth and significantly increased CDK4 expression in the cells. Luciferase reporter gene assay indicated that miR-206 could directly bind to the 3'UTR of CDK4 gene and reduce the activity of luciferase. Transfection of SKOV3 cells with miR-206 significantly lowered the IC50 of 5-Fu to enhance the chemotherapy sensitivity of the cells to 5-Fu. CONCLUSION As a potential tumor suppressor, miR-206 directly targets CDK4 to suppress the cell growth and enhance the chemotherapy sensitivity to 5-Fu in ovarian cancer cells in vitro.
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Affiliation(s)
- 晨 凌
- />贵州省贵阳市妇幼保健院,贵州 贵阳 550003Guizhou Maternity and Child Health Hospital, Guiyang 550003, China
| | - 蜀 刘
- />贵州省贵阳市妇幼保健院,贵州 贵阳 550003Guizhou Maternity and Child Health Hospital, Guiyang 550003, China
| | - 勇 王
- />贵州省贵阳市妇幼保健院,贵州 贵阳 550003Guizhou Maternity and Child Health Hospital, Guiyang 550003, China
| | - 逢春 张
- />贵州省贵阳市妇幼保健院,贵州 贵阳 550003Guizhou Maternity and Child Health Hospital, Guiyang 550003, China
| | - 鹰 杜
- />贵州省贵阳市妇幼保健院,贵州 贵阳 550003Guizhou Maternity and Child Health Hospital, Guiyang 550003, China
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Abstract
Survivin is an anti-apoptotic protein belonging to the inhibitor of apoptosis protein (IAP) family. It is involved in the regulation of important physiological and pathological processes in cells and functions to inhibit cell apoptosis and promote cell proliferation. Normally and terminally differentiated tissues are nearly negative for survivin. In contrast, survivin is highly expressed in most human tumor tissues, including hepatocellular carcinoma (HCC). The abnormal overexpression of survivin is closely related to the malignant biological behaviors of tumors. During the development and progression of HCC, the high level of survivin expression promotes cancer cell proliferation, inhibits cancer cell apoptosis, induces tumor stromal angiogenesis, reduces the sensitivity of cancer cells to radiotherapy and chemotherapy, and ultimately affects the prognosis of patients with HCC. Survivin expression is regulated by a large number of factors. The latest discovery indicated that the transcription factor octamer-binding transcription factor 4 (OCT4) enhances the expression of survivin though cyclin D1 (CCND1), which, in part, accounts for tumor cell proliferation, recurrence and metastasis. Survivin plays key roles in HCC, which renders it an ideal target for the treatment of HCC. The present article reviews the research progress on the relationship between survivin and HCC and on the HCC treatment strategies targeting survivin.
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