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Wang S, Xia Y, Sun Y, Wang W, Shan L, Zhang Z, Zhao C. E2F8-CENPL pathway contributes to homologous recombination repair and chemoresistance in breast cancer. Cell Signal 2024; 118:111151. [PMID: 38522807 DOI: 10.1016/j.cellsig.2024.111151] [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: 01/08/2024] [Revised: 03/06/2024] [Accepted: 03/22/2024] [Indexed: 03/26/2024]
Abstract
Chemoresistance poses a significant obstacle to the treatment of breast cancer patients. The increased capacity of DNA damage repair is one of the mechanisms underlying chemoresistance. Bioinformatic analyses showed that E2F8 was associated with cell cycle progression and homologous recombination (HR) repair of DNA double-strand breaks (DSBs) in breast cancer. E2F8 knockdown suppressed cell growth and attenuated HR repair. Accordingly, E2F8 knockdown sensitized cancer cells to Adriamycin and Cisplatin. Centromere protein L (CENPL) is a transcriptional target by E2F8. CENPL overexpression in E2F8-knockdowned cells recovered at least in part the effect of E2F8 on DNA damage repair and chemotherapy sensitivity. Consistently, CENPL knockdown impaired DNA damage repair and sensitized cancer cells to DNA-damaging drugs. These findings demonstrate that targeting E2F8-CENPL pathway is a potential approach to overcoming chemoresistance.
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Affiliation(s)
- Shan Wang
- Department of Pathophysiology, College of Basic Medical Science, China Medical University, Shenyang 110122, Liaoning Province, PR China
| | - Yuhong Xia
- Department of Pathophysiology, College of Basic Medical Science, China Medical University, Shenyang 110122, Liaoning Province, PR China
| | - Yu Sun
- Department of Pathophysiology, College of Basic Medical Science, China Medical University, Shenyang 110122, Liaoning Province, PR China
| | - Wei Wang
- Department of Pathophysiology, College of Basic Medical Science, China Medical University, Shenyang 110122, Liaoning Province, PR China
| | - Lianfeng Shan
- Department of Intelligent Computation, School of Intelligent Medicine, China Medical University, Shenyang 110122, Liaoning Province, PR China.
| | - Zhongbo Zhang
- Department of Pancreatic and Biliary Surgery, The First Hospital of China Medical University, Shenyang 110001, Liaoning Province, PR China.
| | - Chenghai Zhao
- Department of Pathophysiology, College of Basic Medical Science, China Medical University, Shenyang 110122, Liaoning Province, PR China.
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Liu XS, Liu ZY, Zeng DB, Hu J, Chen XL, Gu JL, Gao Y, Pei ZJ. Functional enrichment analysis reveals the involvement of DARS2 in multiple biological pathways and its potential as a therapeutic target in esophageal carcinoma. Aging (Albany NY) 2024; 16:3934-3954. [PMID: 38382106 DOI: 10.18632/aging.205569] [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: 10/06/2023] [Accepted: 01/17/2024] [Indexed: 02/23/2024]
Abstract
OBJECTIVE The enzyme Aspartyl tRNA synthetase 2 (DARS2) is a crucial enzyme in the mitochondrial tRNA synthesis pathway, playing a critical role in maintaining normal mitochondrial function and protein synthesis. However, the role of DARS2 in ESCA is unclear. MATERIALS AND METHODS Transcriptional data of pan-cancer and ESCA were downloaded from UCSC XENA, TCGA, and GEO databases to analyze the differential expression of DARS2 between tumor samples and normal samples, and its correlation with clinicopathological features of ESCA patients. R was used for GO, KEGG, and GSEA functional enrichment analysis of DARS2 co-expression and to analyze the connection of DARS2 with glycolysis and m6A-related genes. In vitro experiments were performed to assess the effects of interfering with DARS2 expression on ESCA cells. TarBase v.8, mirDIP, miRTarBase, ENCORI, and miRNet databases were used to analyze and construct a ceRNA network containing DARS2. RESULTS DARS2 was overexpressed in various types of tumors. In vitro experiments confirmed that interfering with DARS2 expression significantly affected the proliferation, migration, apoptosis, cell cycle, and glycolysis of ESCA cells. DARS2 may be involved in multiple biological pathways related to tumor development. Furthermore, correlation and differential analysis revealed that DARS2 may regulate ESCA m6A modification through its interaction with METTL3 and YTHDF1. A ceRNA network containing DARS2, DLEU2/has-miR-30a-5p/DARS2, was successfully predicted and constructed. CONCLUSIONS Our findings reveal the upregulation of DARS2 in ESCA and its association with clinical features, glycolysis pathway, m6A modification, and ceRNA network. These discoveries provide valuable insights into the molecular mechanisms underlying ESCA.
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Affiliation(s)
- Xu-Sheng Liu
- Department of Nuclear Medicine, Hubei Provincial Clinical Research Center for Umbilical Cord Blood Hematopoietic Stem Cells, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, China
| | - Zi-Yue Liu
- Department of Nuclear Medicine, Hubei Provincial Clinical Research Center for Umbilical Cord Blood Hematopoietic Stem Cells, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, China
| | - Dao-Bing Zeng
- Department of Nuclear Medicine, Hubei Provincial Clinical Research Center for Umbilical Cord Blood Hematopoietic Stem Cells, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, China
| | - Jian Hu
- Department of Critical Care Medicine, Danjiangkou First Hospital, Danjiangkou 420381, Hubei, China
| | - Xuan-Long Chen
- Department of Medical Ultrasound, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, China
| | - Jiao-Long Gu
- Department of Obstetrics and Gynecology, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, China
| | - Yan Gao
- Department of Nuclear Medicine, Hubei Provincial Clinical Research Center for Umbilical Cord Blood Hematopoietic Stem Cells, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, China
| | - Zhi-Jun Pei
- Department of Nuclear Medicine, Hubei Provincial Clinical Research Center for Umbilical Cord Blood Hematopoietic Stem Cells, Taihe Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, China
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He C, Guo Z, Zhang H, Yang G, Gao J, Mo Z. Identification and validation of methylation-CpG prognostic signature for prognosis of hepatocellular carcinoma. Aging (Albany NY) 2024; 16:1733-1749. [PMID: 38244582 PMCID: PMC10866447 DOI: 10.18632/aging.205454] [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: 05/08/2023] [Accepted: 12/06/2023] [Indexed: 01/22/2024]
Abstract
Epigenetic biomarkers help predict the prognosis of cancer patients and evaluating the clinical outcome of immunization therapy. In this study, we present a personalized gene methylation-CpG signature to enhance the accuracy of survival prediction for individuals with hepatocellular carcinoma (HCC). Utilizing RNA sequencing and methylation datasets from GEO as well as TCGA, we conducted single sample GSEA (ssGSEA), WGCNA, as well as Cox regression. Through these analyses, we identified 175 oxidative stress and immune-related genes along with 4 CpG loci that are associated with the prognosis of HCC. Subsequently, we constructed a prognostic signature for HCC utilizing these 4 CpG sites, referred to as the HCC Prognostic Signature of Methylation-CpG sites (HPSM). Further investigation revealed an enrichment of immune-related signal pathways in the HPSM-low group, which demonstrated a positive correlation with better survival among HCC patients. Moreover, the methylation of the CpG sites in HPSM was found to be closely linked to drug sensitivity. In vitro experiments tentatively confirmed that promoter methylation regulated the expression of BMPER, one of the CpG sites within HPSM. The expression of BMPER was significantly correlated with cell death in the oxidative stress pathway, and overexpression of BMPER effectively inhibited HCC cell proliferation. Consequently, our findings suggest that HPSM is an independent predictive factor and holds promise for accurately predicting the prognosis of HCC patients.
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Affiliation(s)
- Chunmei He
- School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, Guangxi, China
- Chandi Precision Medical Technology, Foshan 528000, Guangdong, China
| | - Zehao Guo
- School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, Guangxi, China
- Key Laboratory of Biochemistry and Molecular Biology (Guilin Medical University), Education Department of Guangxi Zhuang Autonomous Region, Guilin 541199, Guangxi, China
| | - Hao Zhang
- School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, Guangxi, China
- Key Laboratory of Biochemistry and Molecular Biology (Guilin Medical University), Education Department of Guangxi Zhuang Autonomous Region, Guilin 541199, Guangxi, China
| | - Ganqing Yang
- School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, Guangxi, China
| | - Jintao Gao
- School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, Guangxi, China
- Key Laboratory of Biochemistry and Molecular Biology (Guilin Medical University), Education Department of Guangxi Zhuang Autonomous Region, Guilin 541199, Guangxi, China
| | - Zhijing Mo
- School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin 541199, Guangxi, China
- Key Laboratory of Biochemistry and Molecular Biology (Guilin Medical University), Education Department of Guangxi Zhuang Autonomous Region, Guilin 541199, Guangxi, China
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Gao YX, Ning QQ, Yang PX, Guan YY, Liu PX, Liu ML, Qiao LX, Guo XH, Yang TW, Chen DX. Recent advances in recurrent hepatocellular carcinoma therapy. World J Hepatol 2023; 15:460-476. [PMID: 37206651 PMCID: PMC10190692 DOI: 10.4254/wjh.v15.i4.460] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 12/20/2022] [Accepted: 03/24/2023] [Indexed: 04/20/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most prevalent form of primary liver cancer, accounting for 75%-85% of cases. Although treatments are given to cure early-stage HCC, up to 50%-70% of individuals may experience a relapse of the illness in the liver after 5 years. Research on the fundamental treatment modalities for recurrent HCC is moving significantly further. The precise selection of individuals for therapy strategies with established survival advantages is crucial to ensuring better outcomes. These strategies aim to minimize substantial morbidity, support good life quality, and enhance survival for patients with recurrent HCC. For individuals with recurring HCC after curative treatment, no approved therapeutic regimen is currently available. A recent study presented novel approaches, like immunotherapy and antiviral medication, to improve the prognosis of patients with recurring HCC with the apparent lack of data to guide the clinical treatment. The data supporting several neoadjuvant and adjuvant therapies for patients with recurring HCC are outlined in this review. We also discuss the potential for future clinical and translational investigations.
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Affiliation(s)
- Yu-Xue Gao
- Beijing Institute of Hepatology, Beijing You An Hospital, Capital Medical University, Beijing 100069, China
- Beijing Precision Medicine and Transformation Engineering Technology Research Center of Hepatitis and Liver Cancer, Beijing 100069, China
| | - Qi-Qi Ning
- Beijing Institute of Hepatology, Beijing You An Hospital, Capital Medical University, Beijing 100069, China
- Beijing Precision Medicine and Transformation Engineering Technology Research Center of Hepatitis and Liver Cancer, Beijing 100069, China
| | - Peng-Xiang Yang
- Beijing Institute of Hepatology, Beijing You An Hospital, Capital Medical University, Beijing 100069, China
- Beijing Precision Medicine and Transformation Engineering Technology Research Center of Hepatitis and Liver Cancer, Beijing 100069, China
| | - Yuan-Yue Guan
- Beijing Institute of Hepatology, Beijing You An Hospital, Capital Medical University, Beijing 100069, China
- Beijing Precision Medicine and Transformation Engineering Technology Research Center of Hepatitis and Liver Cancer, Beijing 100069, China
| | - Peng-Xiang Liu
- Beijing Institute of Hepatology, Beijing You An Hospital, Capital Medical University, Beijing 100069, China
- Beijing Precision Medicine and Transformation Engineering Technology Research Center of Hepatitis and Liver Cancer, Beijing 100069, China
| | - Meng-Lu Liu
- Beijing Institute of Hepatology, Beijing You An Hospital, Capital Medical University, Beijing 100069, China
- Beijing Precision Medicine and Transformation Engineering Technology Research Center of Hepatitis and Liver Cancer, Beijing 100069, China
| | - Lu-Xin Qiao
- Beijing Institute of Hepatology, Beijing You An Hospital, Capital Medical University, Beijing 100069, China
- Beijing Precision Medicine and Transformation Engineering Technology Research Center of Hepatitis and Liver Cancer, Beijing 100069, China
| | - Xiang-Hua Guo
- Beijing Institute of Hepatology, Beijing You An Hospital, Capital Medical University, Beijing 100069, China
- Beijing Precision Medicine and Transformation Engineering Technology Research Center of Hepatitis and Liver Cancer, Beijing 100069, China
| | - Tong-Wang Yang
- Beijing Institute of Hepatology, Beijing You An Hospital, Capital Medical University, Beijing 100069, China
- Academician Workstation, Changsha Medical University, Changsha 410219, Hunan Province, China
- Hunan Key Laboratory of the Research and Development of Novel Pharmaceutical Preparations, Changsha Medical University, Changsha 410219, Hunan Province, China
| | - De-Xi Chen
- Beijing Institute of Hepatology, Beijing You An Hospital, Capital Medical University, Beijing 100069, China
- Beijing Precision Medicine and Transformation Engineering Technology Research Center of Hepatitis and Liver Cancer, Beijing 100069, China
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Gui Z, Tian Y, Liu S, Yu T, Liu C, Zhang L. Highly expressed CENPL is correlated with breast cancer cell proliferation and immune infiltration. Front Oncol 2023; 13:1046774. [PMID: 36816951 PMCID: PMC9932532 DOI: 10.3389/fonc.2023.1046774] [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: 09/17/2022] [Accepted: 01/23/2023] [Indexed: 02/05/2023] Open
Abstract
Background Centromere protein L (CENPL) is associated with a variety of human diseases. However, its function in breast cancer remains uncertain. Methods The Cancer Genome Atlas (TCGA) and genotype-tissue expression across cancer data were used to investigate CENPL expression. Using TCGA clinical survival data, the relationship between CENPL expression and patient prognosis was assessed. Using the cluster profiler R software tool, enrichment analysis of CENPL was carried out. Additionally, by studying the TCGA database, the relationship between CENPL expression and immune cell infiltration was assessed. To evaluate CENPL's impact on breast cancer cell proliferation, the CCK8 test and colony-formation assay were carried out. Scratch testing and the transwell assay were used to evaluate the effects of CENPL on breast cancer cell migration. Results Breast cancer was one of numerous tumor forms with high CENPL expression. Significant relationships between high CENPL expression and the cell cycle, nuclear division, organelle fission, and chromosome segregation were found. Further investigation revealed that minimal infiltration of CD8-positive T cells and natural killer (NK) cells and high levels of Tregs and macrophages were correlated with high levels of CENPL expression. CENPL expression was linked to more than half of the ICP genes. Breast cancer cells' ability to proliferate and migrate was decreased by CENPL knockdown. Conclusions Our findings suggest that CENPL may be an oncogene in breast cancer and a predictor of efficacy of immunotherapy for breast cancer.
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Affiliation(s)
| | | | | | | | | | - Lin Zhang
- Department of Thyroid and Breast Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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He K, Xie M, Li J, He Y, Yin Y. CENPO is Associated with Immune Cell Infiltration and is a Potential Diagnostic and Prognostic Marker for Hepatocellular Carcinoma. Int J Gen Med 2022; 15:7493-7510. [PMID: 36187159 PMCID: PMC9521242 DOI: 10.2147/ijgm.s382234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 09/13/2022] [Indexed: 12/08/2022] Open
Abstract
Purpose To examine the expression, clinical significance, and potential regulatory mechanism of centromere protein O (CENPO) in hepatocellular carcinoma (HCC). Methods CENPO expression in pan-cancer was studied using the TCGA-GTEx database, in HCC and normal liver tissues using the GEO and TCGA databases, and in clinical HCC samples by RT-qPCR. The diagnostic value of CENPO was assessed using receiver operating characteristic curves. Univariate and multivariate regression analyses of factors associated with HCC prognosis were performed. CENPO function and its mechanism in HCC were explored using GO, KEGG, and GSEA analyses of differentially expressed genes (DEGs). Association of CENPO expression with immune cell infiltration and immune checkpoint-associated molecules was conducted using TCGA data and the TIMER2.0 database. Relationships between CENPO expression and DNA methylation were analyzed using the UALCAN and cBioPortal databases. CENPO expression in HCC cell lines was detected using RT-qPCR. Results CENPO is upregulated in most cancers, including HCC and cell lines, and is a potential biomarker for HCC diagnosis (AUC = 0.936, 95% CI: 0.911–0.960). Higher CENPO expression was associated with poorer outcomes in patients with HCC (OS, p = 0.004; DSS, p = 0.002; PFI, p < 0.001), and CENPO was an independent predictor of factors influencing overall survival in HCC. DEGs between samples with high and low CENPO levels were enriched in various biological processes, including activation of the G2M checkpoint and other signaling pathways, while CENPO expression correlated with HCC immune cell infiltration and immune checkpoint-associated molecules, as well as CENPO promoter methylation (p < 0.001). Conclusion In HCC and cell lines, CENPO is overexpressed, a potential diagnostic marker and an indicator of poor prognosis. CENPO may regulate HCC development by influencing nuclear division and tumor immune infiltration and is regulated by methylation, making it a potential target for HCC immunotherapy.
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Affiliation(s)
- Kun He
- Institute of Hepato-Biliary-Pancreatic-Intestinal disease, North Sichuan Medical College, Nanchong, People’s Republic of China
| | - Mengyi Xie
- Institute of Hepato-Biliary-Pancreatic-Intestinal disease, North Sichuan Medical College, Nanchong, People’s Republic of China
| | - Jingdong Li
- Institute of Hepato-Biliary-Pancreatic-Intestinal disease, North Sichuan Medical College, Nanchong, People’s Republic of China
- Correspondence: Jingdong Li, Institute of Hepato-Biliary-Pancreatic-Intestinal disease, North Sichuan Medical College, 234 Fujiang Road, Shunqing District, Nanchong, 637000, People’s Republic of China, Tel +86 18215521587, Fax +86 817-2222856, Email
| | - Yi He
- Department of Hepatobiliary Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China
| | - Yaolin Yin
- Department of Hepatobiliary Surgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, People’s Republic of China
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Yang Y, Duan M, Zha Y, Wu Z. CENP-A is a potential prognostic biomarker and correlated with immune infiltration levels in glioma patients. Front Genet 2022; 13:931222. [PMID: 36105094 PMCID: PMC9465177 DOI: 10.3389/fgene.2022.931222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 08/05/2022] [Indexed: 12/02/2022] Open
Abstract
Background: Centromeric protein A (CENP-A), an essential protein involved in chromosomal segregation during cell division, is associated with several cancer types. However, its role in gliomas remains unclear. This study examined the clinical and prognostic significance of CENP-A in gliomas. Methods: Data of patients with glioma were collected from the Cancer Genome Atlas. Logistic regression, the Kruskal–Wallis test, and the Wilcoxon signed-rank test were performed to assess the relationship between CENP-A expression and clinicopathological parameters. The Cox regression model and Kaplan–Meier curve were used to analyze the association between CENP-A and survival outcomes. A prognostic nomogram was constructed based on Cox multivariate analysis. Gene set enrichment analysis (GSEA) was conducted to identify key CENP-A-related pathways and biological processes. Results:CENP-A was upregulated in glioma samples. Increased CENP-A levels were significantly associated with the world health organization (WHO) grade [Odds ratio (OR) = 49.88 (23.52–129.06) for grade 4 vs. grades 2 and 3], primary therapy outcome [OR = 2.44 (1.64–3.68) for progressive disease (PD) and stable disease (SD) vs. partial response (PR) and complete response (CR)], isocitrate dehydrogenase (IDH) status [OR = 13.76 (9.25–20.96) for wild-type vs. mutant], 1p/19q co-deletion [OR = 5.91 (3.95–9.06) for no codeletion vs. co-deletion], and age [OR = 4.02 (2.68–6.18) for > 60 vs. ≤ 60]. Elevated CENP-A expression was correlated with shorter overall survival in both univariate [hazard ratio (HR): 5.422; 95% confidence interval (CI): 4.044–7.271; p < 0.001] and multivariate analyses (HR: 1.967; 95% CI: 1.280–3.025; p < 0.002). GSEA showed enrichment of numerous cell cycle-and tumor-related pathways in the CENP-A high expression phenotype. The calibration plot and C-index indicated the favorable performance of our nomogram for prognostic prediction in patients with glioma. Conclusion: We propose a role for CENP-A in glioma progression and its potential as a biomarker for glioma diagnosis and prognosis.
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Affiliation(s)
- Yuan Yang
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Mengyun Duan
- Health Science Center, Department of Medical Imaging, Yangtze University, Jingzhou, China
| | - Yunfei Zha
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China
- *Correspondence: Yunfei Zha, ; Zijun Wu,
| | - Zijun Wu
- Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China
- *Correspondence: Yunfei Zha, ; Zijun Wu,
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Integrative analysis of the expression and prognosis for CENPs in ovarian cancer. Genomics 2022; 114:110445. [DOI: 10.1016/j.ygeno.2022.110445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Revised: 06/19/2022] [Accepted: 07/28/2022] [Indexed: 11/22/2022]
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