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Wang Z, Ren M, Liu W, Wu J, Tang P. Role of cell division cycle-associated proteins in regulating cell cycle and promoting tumor progression. Biochim Biophys Acta Rev Cancer 2024; 1879:189147. [PMID: 38955314 DOI: 10.1016/j.bbcan.2024.189147] [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: 12/19/2023] [Revised: 06/24/2024] [Accepted: 06/27/2024] [Indexed: 07/04/2024]
Abstract
The cell division cycle-associated protein (CDCA) family is important in regulating cell division. High CDCA expression is significantly linked to tumor development. This review summarizes clinical and basic studies on CDCAs conducted in recent decades. Furthermore, it systematically introduces the molecular expression and function, key mechanisms, cell cycle regulation, and roles of CDCAs in tumor development, cell proliferation, drug resistance, invasion, and metastasis. Additionally, it presents the latest research on tumor diagnosis, prognosis, and treatment targeting CDCAs. These findings are pivotal for further in-depth studies on the role of CDCAs in promoting tumor development and provide theoretical support for their application as new anti-tumor targets.
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Affiliation(s)
- Zhaoyu Wang
- Department of Breast and Thyroid Surgery, Southwest Hospital, the First Affiliated Hospital of the Army Military Medical University, Chongqing 400038, China
| | - Minshijing Ren
- Department of Breast and Thyroid Surgery, Southwest Hospital, the First Affiliated Hospital of the Army Military Medical University, Chongqing 400038, China
| | - Wei Liu
- Department of Breast and Thyroid Surgery, Southwest Hospital, the First Affiliated Hospital of the Army Military Medical University, Chongqing 400038, China
| | - Jin Wu
- Department of Breast and Thyroid Surgery, Southwest Hospital, the First Affiliated Hospital of the Army Military Medical University, Chongqing 400038, China; Medical Research Institute, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China.
| | - Peng Tang
- Department of Breast and Thyroid Surgery, Southwest Hospital, the First Affiliated Hospital of the Army Military Medical University, Chongqing 400038, China.
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Li F, Wu Z, Du Z, Ke Q, Fu Y, Zhan J. Comprehensive molecular analyses and experimental validation of CDCAs with potential implications in kidney renal papillary cell carcinoma prognosis. Heliyon 2024; 10:e33045. [PMID: 38988558 PMCID: PMC11234104 DOI: 10.1016/j.heliyon.2024.e33045] [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: 03/30/2024] [Revised: 05/29/2024] [Accepted: 06/13/2024] [Indexed: 07/12/2024] Open
Abstract
Previous reports have revealed that the abnormal expression of the cell division cycle-associated gene family (CDCAs) is closely associated with some human cancers. However, the precise functional roles and mechanisms of CDCAs in kidney renal papillary cell carcinoma (KIRP) remain unclear. In this study, RNA sequencing data from the Cancer Genome Atlas database and Genotype-Tissue Expression databases were utilized to perform the expression, correlation, survival, mutation, functional enrichment analysis, and immunoinfiltration analyses of CDCAs in KIRP. We found that the expression levels of CDCA genes were significantly increased in KIRP across multiple databases, as confirmed by immunohistochemistry and quantitative reverse transcription PCR (RT-qPCR). Moreover, increased expression of CDCA genes is significantly associated with poor prognosis. Univariate and multivariate Cox regression analyses demonstrated that pathologic T and N staging, NUF2, CDCA2, CDCA3, CDCA5, CBX2, CDCA7, and CDCA8 were independent prognostic factors for patients with KIRP. Utilizing these nine variables, we developed a nomogram prognostic model. Furthermore, the results of GO and KEGG functional enrichment analyses suggested that CDCA genes were associated with nuclear division, mitotic nuclear division, and chromosome segregation and were involved in the cell cycle, p53 signaling pathway, and cellular senescence. We found that the expression of NUF2, CDCA2, CDCA5, and CBX2 was closely associated with the expression of lymphocytes, immunostimulatory molecules, immunoinhibitory molecules, and chemokines. In summary, NUF2, CDCA2, CDCA3, CDCA5, CBX2, CDCA7, and CDCA8 are potential biomarkers for KIRP diagnosis and prognosis.
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Affiliation(s)
- Fuping Li
- Department of General Surgery, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
- Department of the Second Clinical Medical College, Shaanxi University of Chinese Medicine, Xianyang, China
| | - Zhenheng Wu
- Department of Hepatobiliary Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Zhiyong Du
- Department of General Surgery, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
| | - Qiming Ke
- Department of Hepatobiliary Surgery, Fujian Medical University Union Hospital, Fuzhou, China
| | - Yuxiang Fu
- Department of General Surgery, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
| | - Jiali Zhan
- Department of General Practice, Xiamen Fifth Hospital, Xiamen, China
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Han C, Liu S, Ji Y, Hu Y, Zhang J. CDCA3 is a potential biomarker for glioma malignancy and targeted therapy. Medicine (Baltimore) 2024; 103:e38066. [PMID: 38728485 PMCID: PMC11081570 DOI: 10.1097/md.0000000000038066] [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: 12/02/2023] [Accepted: 04/09/2024] [Indexed: 05/12/2024] Open
Abstract
CDCA3, a cell cycle regulator gene that plays a catalytic role in many tumors, was initially identified as a regulator of cell cycle progression, specifically facilitating the transition from the G2 phase to mitosis. However, its role in glioma remains unknown. In this study, bioinformatics analyses (TCGA, CGGA, Rembrandt) shed light on the upregulation and prognostic value of CDCA3 in gliomas. It can also be included in a column chart as a parameter predicting 3- and 5-year survival risk (C index = 0.86). According to Gene Set Enrichment Analysis and gene ontology analysis, the biological processes of CDCA3 are mainly concentrated in the biological activities related to cell cycle such as DNA replication and nuclear division. CDCA3 is closely associated with many classic glioma biomarkers (CDK4, CDK6), and inhibitors of CDK4 and CDK6 have been shown to be effective in tumor therapy. We have demonstrated that high expression of CDCA3 indicates a higher malignancy and poorer prognosis in gliomas.
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Affiliation(s)
- Chengxi Han
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Hebei, China
| | - Shuo Liu
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Hebei, China
| | - Yunfeng Ji
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Hebei, China
| | - Yuhua Hu
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Hebei, China
| | - Jingwen Zhang
- Department of Neurosurgery, The Second Hospital of Hebei Medical University, Hebei, China
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Gu P, Zhang M, Chen X, Du J, Chen L, He X, Li M. Prognostic value of cell division cycle-associated protein-3 in prostate cancer. Medicine (Baltimore) 2023; 102:e34655. [PMID: 37682152 PMCID: PMC10489371 DOI: 10.1097/md.0000000000034655] [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: 06/16/2023] [Accepted: 07/18/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND The study was aimed to explore cell division cycle-associated protein-3 (CDCA3) expression and its correlation with clinicopathological characteristics, and identification of co-expressed genes of CDCA3 in prostate cancer (PCa). METHODS Data for CDCA3 mRNA expression in PCa were obtained from The Cancer Genome Atlas database. Furtherly, CDCA3 protein expression was examined by immunohistochemistry in 80 cases, including 20 normal prostate samples and 60 PCa samples. Then we used "survival" package to obtain the differentially expressed CDCA3 mRNA associated with prognosis of PCa patients. "pROC" package was used to analyze receiver operating characteristic of CDCA3. We used chi-square test, Kruskal-Wallis test and Wilcoxon rank sum test to identify clinicopathological parameters that correlated with CDCA3 expression. In order to determine the effects of CDCA3 expression and clinicopathological parameters on survival, univariate cox regression analysis was performed. Finally, the co-expressed genes of CDCA3 in PCa were explored by search tool for the retrieval of interacting genes, Kyoto encyclopedia of genes and genomes enrichment analysis and Spearman correlation analysis. RESULTS In this study, we found that CDCA3 expression was increased in PCa. PCa patients with higher CDCA3 expression had poor outcomes. In terms of receiver operating characteristic, CDCA3 had an area under the curve of 0.857. High CDCA3 expression was positively correlated with advanced T stage, N stage, Gleason score, and served as an independent predictor of progress free interval in PCa patients. Then 20 proteins closely related to CDCA3 were screened through STRING website. Functional enrichment analysis revealed that, Kyoto encyclopedia of genes and genomes pathway was mainly enriched in cell cycle, including 6 genes, BUB1, CCNA2, CDK1, CDC20, TTK, and CCNB2. CONCLUSION CDCA3 is significantly associated with the prognosis of PCa, which may be an indicator of the diagnosis and prognosis of PCa and a new therapeutic target.
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Affiliation(s)
- Peng Gu
- Department of Urology, Xishan People’s Hospital of Wuxi City, Wuxi, Jiangsu, China
| | - Minhao Zhang
- Department of Urology, Xishan People’s Hospital of Wuxi City, Wuxi, Jiangsu, China
| | - Xinhua Chen
- Department of Operating Room, Xishan People’s Hospital of Wuxi City, Wuxi, Jiangsu, China
| | - Jie Du
- Department of Urology, Xishan People’s Hospital of Wuxi City, Wuxi, Jiangsu, China
| | - Lu Chen
- Department of Pathology, Xishan People’s Hospital of Wuxi City, Wuxi, Jiangsu, China
| | - Xiaoliang He
- Department of Urology, Xishan People’s Hospital of Wuxi City, Wuxi, Jiangsu, China
| | - Meilin Li
- Department of Medicine, Wuxi No. 5 People’s Hospital, Wuxi, Jiangsu, China
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Liu Y, Cheng X, Xi P, Zhang Z, Sun T, Gong B. Bioinformatic analysis highlights SNHG6 as a putative prognostic biomarker for kidney renal papillary cell carcinoma. BMC Urol 2023; 23:54. [PMID: 37004005 PMCID: PMC10067223 DOI: 10.1186/s12894-023-01218-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 03/20/2023] [Indexed: 04/03/2023] Open
Abstract
PURPOSE Kidney renal papillary cell carcinoma (KIRP) is a highly heterogeneous malignancy and current systemic therapeutic strategies are difficult to achieve a satisfactory outcome for advanced disease. Meanwhile, there is a lack of effective biomarkers to predict the prognosis of KIRP. METHODS Using TCGA, GTEx, UALCAN, TIMER, TIMER 2.0 and STRING databases, we analyzed the relationship of SNHG6 with KIRP subtypes, tumor-infiltrating immune cells and potential target mRNAs. Based on TCGA data, ROC curves, Kaplan-Meier survival analysis and COX regression analysis were performed to evaluate the diagnostic and prognostic value of SNHG6 in KIRP. Nomogram was used to predict 3- and 5-year disease-specific survival in KIRP patients. In addition, with the help of Genetic ontology and Gene set enrichment analysis, the biological processes and signalling pathways that SNHG6 may be involved in KIRP were initially explored. RESULTS In patients with KIRP, SNHG6 was significantly upregulated and associated with a more aggressive subtype (lymph node involvement, pathological stage IV, CIMP phenotype) and poor prognosis. The ROC curve showed good diagnostic efficacy (AUC value: 0.828) and the C-index of the Nomogram for predicting DSS at 3 and 5 years was 0.920 (0.898-0.941). In the immune microenvironment of KIRP, SNHG6 expression levels were negatively correlated with macrophage abundance and positively correlated with cancer-associated fibroblasts. Furthermore, SNHG6 may promote KIRP progression by regulating the expression of molecules such as AURKB, NDC80, UBE2C, NUF2, PTTG1, CENPH, SPC25, CDCA3, CENPM, BIRC5, TROAP, EZH2. Last, GSEA suggests that SNHG6 may be involved in the regulation of the PPAR signalling pathway and the SLIT/ROBO signalling pathway. CONCLUSIONS Our analysis suggests that a high SNHG6 expression status in KIRP is associated with a poorer prognosis for patients, and also elucidates some potential mechanisms contributing to this poorer outcome. This may provide new insights into the treatment and management of KIRP in the foreseeable future.
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Affiliation(s)
- Yifu Liu
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Jiangxi Institute of Urology, Nanchang, 330006, Jiangxi, China
| | - Xiaofeng Cheng
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Jiangxi Institute of Urology, Nanchang, 330006, Jiangxi, China
| | - Ping Xi
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Jiangxi Institute of Urology, Nanchang, 330006, Jiangxi, China
| | - Zhicheng Zhang
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Jiangxi Institute of Urology, Nanchang, 330006, Jiangxi, China
| | - Ting Sun
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China
- Jiangxi Institute of Urology, Nanchang, 330006, Jiangxi, China
| | - Binbin Gong
- Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, 330006, Jiangxi, China.
- Jiangxi Institute of Urology, Nanchang, 330006, Jiangxi, China.
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Li T, Wang L, Yu N, Zeng A, Huang J, Long X. CDCA3 is a prognostic biomarker for cutaneous melanoma and is connected with immune infiltration. Front Oncol 2023; 12:1055308. [PMID: 36713580 PMCID: PMC9876620 DOI: 10.3389/fonc.2022.1055308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 12/21/2022] [Indexed: 01/12/2023] Open
Abstract
Introduction Dysregulation of cell cycle progression (CCP) is a trait that distinguishes cancer from other diseases. In several cancer types, CCP-related genes serve as the primary risk factor for prognosis, but their role in cutaneous melanoma remains unclear. Methods Data from cutaneous melanoma patients were acquired from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). Using a Wilcoxon test, the level of CCP-related gene expression in cutaneous melanoma patient tissues was compared to that in normal skin tissues. Logistic analysis was then utilized to calculate the connection between the CCP-related genes and clinicopathological variables. The important functions of the CCP-related genes were further investigated using Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and single-sample Gene Set Enrichment Analysis (ssGSEA). Univariate and multivariate Cox analyses and Kaplan-Meier analysis were used to estimate the association between CCP-related genes and prognosis. In addition, using Cox multivariate analysis, a nomogram was constructed to forecast the influence of CCP-related genes on survival rates. Results High expression of CCP-related genes was associated with TNM stage, age, pathological grade, and Breslow depth (P < 0.05). Multivariate analysis demonstrated that CCP-related genes were an independent factor in overall survival and disease-specific survival. High levels of gene expression originating from CCP were shown by GSEA to trigger DNA replication, the G1-S specific transcription factor, the mitotic spindle checkpoint, and the cell cycle. There was a negative association between CCP-related genes and the abundance of innate immune cells. Finally, we revealed that knockdown of cell division cycle-associated gene 3 (CDCA3) significantly suppressed the proliferation and migration ability of cutaneous melanoma cells. Conclusion According to this study, CCP-related genes could serve as potential biomarkers to assess the prognosis of cutaneous melanoma patients and are crucial immune response regulators.
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Affiliation(s)
| | | | | | | | | | - Xiao Long
- *Correspondence: Jiuzuo Huang, ; Xiao Long,
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CDCA3 Predicts Poor Prognosis and Affects CD8+ T Cell Infiltration in Renal Cell Carcinoma. JOURNAL OF ONCOLOGY 2022; 2022:6343760. [PMID: 36213833 PMCID: PMC9534638 DOI: 10.1155/2022/6343760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 07/05/2022] [Accepted: 09/07/2022] [Indexed: 12/03/2022]
Abstract
Background Cell division cycle associated 3 (CDCA3) mediates the ubiquitination WEE1 kinase at G2/M phase. However, its contribution to cancer immunity remains uncertain. Methods We first evaluated the effect of CDCA3 on the prognosis of patients with renal cell carcinoma (RCC). The results of bioinformatics analysis were verified by the tissue microarray, immunofluorescence (IF) staining, CCK-8 assay, colony formation, cell cycle, and Western blot. Results Bioinformatics analysis predicated CDCA3 was an independent predictor of poor prognosis in RCC and was associated with poor TNM stage and grade. CDCA3 was related to the infiltration of CD8+ T cells and Tregs. Tissue microarray demonstrated that CDCA3 was strongly associated with poor prognosis and positively relevant to CD8+ T infiltration. In vitro experiments showed that exgenomic interference of CDCA3 could attenuate cellular proliferation, arrest cell cycle, and blockade accumulation of CDK4, Bub3, and Cdc20 in mitosis process. Conclusion CDCA3 presents as a good biomarker candidate to predict the prognosis of RCC patients and potentiates the immune tumor microenvironment (TME) of RCC.
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