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Ding J, Su Y, Liu Y, Xu Y, Yang D, Wang X, Hao S, Zhou H, Li H. The role of CSTF2 in cancer: from technology to clinical application. Cell Cycle 2023; 22:2622-2636. [PMID: 38166492 PMCID: PMC10936678 DOI: 10.1080/15384101.2023.2299624] [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: 03/17/2023] [Accepted: 12/20/2023] [Indexed: 01/04/2024] Open
Abstract
A protein called cleavage-stimulating factor subunit 2 (CSTF2, additionally called CSTF-64) binds RNA and is needed for the cleavage and polyadenylation of mRNA. CSTF2 is an important component subunit of the cleavage stimulating factor (CSTF), which is located on the X chromosome and encodes 557 amino acids. There is compelling evidence linking elevated CSTF2 expression to the pathological advancement of cancer and on its impact on the clinical aspects of the disease. The progression of cancers, including hepatocellular carcinoma, melanoma, prostate cancer, breast cancer, and pancreatic cancer, is correlated with the upregulation of CSTF2 expression. This review provides a fresh perspective on the investigation of the associations between CSTF2 and various malignancies and highlights current studies on the regulation of CSTF2. In particular, the mechanism of action and potential clinical applications of CSTF2 in cancer suggest that CSTF2 can serve as a new biomarker and individualized treatment target for a variety of cancer types.
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Affiliation(s)
- Jiaxiang Ding
- Clinical Trial Center of the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China
- School of Public Foundation, Bengbu Medical University, Bengbu, Anhui, China
| | - Yue Su
- Clinical Trial Center of the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China
- School of Public Foundation, Bengbu Medical University, Bengbu, Anhui, China
| | - Youru Liu
- The People’s Hospital of Bozhou, Bozhou, Anhui, China
| | - Yuanyuan Xu
- Clinical Trial Center of the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China
- School of Pharmacy, Bengbu Medical University, Bengbu, Anhui, China
| | - Dashuai Yang
- Inflammation and Immune Mediated Diseases Laboratory of Anhui Province; School of Pharmacy, Anhui Medical University, Hefei, Anhui, China
| | - Xuefeng Wang
- Clinical Trial Center of the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China
- School of Pharmacy, Bengbu Medical University, Bengbu, Anhui, China
| | - Shuli Hao
- The People’s Hospital of Bozhou, Bozhou, Anhui, China
| | - Huan Zhou
- Clinical Trial Center of the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China
- School of Public Foundation, Bengbu Medical University, Bengbu, Anhui, China
- School of Pharmacy, Bengbu Medical University, Bengbu, Anhui, China
| | - Hongtao Li
- Clinical Trial Center of the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China
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Huang Y, Xu J, Xie C, Liao Y, Lin R, Zeng Y, Yu F. A Novel Gene Pair CSTF2/DPE2A Impacts Prognosis and Cell Cycle of Hepatocellular Carcinoma. J Hepatocell Carcinoma 2023; 10:1639-1657. [PMID: 37791068 PMCID: PMC10544262 DOI: 10.2147/jhc.s413935] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 09/18/2023] [Indexed: 10/05/2023] Open
Abstract
Background Hepatocellular carcinoma (HCC), one of the commonest cancers at present, possesses elevated mortality. This study explored the predictive value of CSTF2/PDE2A for HCC prognosis. Methods In this study, clinical information and RNA sequencing expression profiles of HCC patients were acquired from common databases. Kaplan-Meier curve compound with time-dependent ROC curve, nomogram model, and univariate/multivariate Cox analysis were carried out to access the prediction capacity of CSTF2/PDE2A. The immune status, tumor microenvironment, drug sensitivity, biological function and pathway between HCC and adjacent non-tumorous tissue were analyzed and compared. Finally, RT-qPCR, Western blot, and apoptosis assays were performed to verify the effect on HCC cells of CSTF2/PDE2A. Results The optimal cut-off value of CSTF2, PDE2A and CSTF2/PDE2A was 6.95, 0.95 and 3.63, respectively. In TCGA and ICGC cohorts, the high group of CSTF2/PDE2A presented higher OS compared to low group. The area under the curve (AUC) for OS at 1-, 2-, and 3-years predicted by CSTF2/PDE2A were 0.731/0.695, 0.713/0.732 and 0.689/0.755, higher than the counterparts of the single gene CSTF2 and PDE2A. Multivariate Cox analysis revealed that CSTF2/PDE2A (HR = 1.860/3.236, 95% CI = 1.265-2.733/1.575-6.645) was an independent prognostic factor for HCC. The OS nomogram model created according to five independent factors including CSTF2/PDE2A showed excellent capacity for HCC prognosis. Furthermore, the immune status of the CSTF2/PDE2A high group was deleted, cell cycle-related genes and chemotherapy resistance were increased. Finally, cell experiments revealed distinct differences in the proliferation, apoptosis, protein and mRNA expression of HCC cells after si-CSTF2 transfection compared with the negative control. Conclusion Taken together, the gene pair CSTF2/PDE2A is able to forecast the prognosis of HCC and regulates cell cycle, which is promising as a novel prognostic predictor of HCC.
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Affiliation(s)
- Yangjin Huang
- Department of Gastroenterology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Jun Xu
- Department of Gastroenterology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Chunming Xie
- Department of Gastroenterology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Yuejuan Liao
- Department of Gastroenterology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Rong Lin
- Department of Gastroenterology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Yuan Zeng
- Department of Gastroenterology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
| | - Fujun Yu
- Department of Gastroenterology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, People’s Republic of China
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Chen J, Gao G, Zhang Y, Dai P, Huang Y. Comprehensive analysis and validation of SNX7 as a novel biomarker for the diagnosis, prognosis, and prediction of chemotherapy and immunotherapy response in hepatocellular carcinoma. BMC Cancer 2023; 23:899. [PMID: 37743471 PMCID: PMC10519071 DOI: 10.1186/s12885-023-11405-0] [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: 03/17/2023] [Accepted: 09/14/2023] [Indexed: 09/26/2023] Open
Abstract
BACKGROUND Studies have demonstrated that Sorting nexin 7 (SNX7) functions as an anti-apoptotic protein in liver tissue and plays a crucial role in the survival of hepatocytes during early embryonic development. However, its diagnostic and prognostic value as well as the predictive value of chemotherapy and immunotherapy have not been reported in hepatocellular carcinoma (HCC). METHODS SNX7 mRNA expression and its diagnostic efficacy were examined in GEO datasets, and the findings were further confirmed in TCGA, ICGC cohorts, and cell lines. The protein level of SNX7 was determined using CPTAC and HPA databases, and the results were validated through immunohistochemistry (IHC). Survival analyses were performed in TCGA and ICGC cohorts, and the results were subsequently validated via Kaplan-Meier Plotter. The response to chemotherapy and immunotherapy was predicted via GDSC dataset and TIDE algorithm, respectively. R packages were employed to explore the relationship between SNX7 expression and immune infiltration, m6A modification, as well as the functional enrichment of differentially expressed genes (DEGs). RESULTS The expression of SNX7 at both mRNA and protein levels was significantly upregulated in HCC tissues. SNX7 exhibited superior diagnostic efficacy compared to AFP alone for HCC detection, and combining it with AFP improved the diagnostic accuracy for HCC. High SNX7 was associated with unfavorable outcomes, including poor overall survival, disease-specific survival, progression-free survival, and advanced pathological stage, in patients with HCC, and SNX7 was identified as an independent risk factor for HCC. Moreover, elevated SNX7 expression was positively correlated with increased sensitivity to various chemotherapy drugs, including sorafenib, while it was associated with resistance to immunotherapy in HCC patients. Correlation analysis revealed a relationship between SNX7 and multiple m6A-related genes and various immune cells. Finally, enrichment analysis demonstrated strong associations of SNX7 with critical biological processes, such as cell cycle regulation, cellular senescence, cell adhesion, DNA replication, and mismatch repair pathway in HCC. CONCLUSIONS Our study highlights the association of SNX7 with the immune microenvironment and its potential influence on HCC progression. SNX7 emerges as a promising novel biomarker for the diagnosis, prognosis, and prediction of response to chemotherapy and immunotherapy in patients with HCC.
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Affiliation(s)
- Jianlin Chen
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, 350001, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, Fujian, 350001, China
- Central Laboratory, Fujian Provincial Hospital, Fuzhou, Fujian, 350001, China
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou, Fujian, 350001, China
| | - Gan Gao
- Departments of Clinical Laboratory of Liuzhou Hospital of Guangzhou Women and Children's Medical Center, Liuzhou, 545616, Guangxi, China
| | - Yi Zhang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, 350001, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, Fujian, 350001, China
| | - Peng Dai
- Departments of Anesthesiology, The First People's Hospital of Foshan, Foshan, 528000, Guangdong, China
| | - Yi Huang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, 350001, China.
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, Fujian, 350001, China.
- Central Laboratory, Fujian Provincial Hospital, Fuzhou, Fujian, 350001, China.
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou, Fujian, 350001, China.
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Chen J, Zhuang W, Xia Y, Yin X, Tu M, Zhang Y, Zhang L, Huang H, Zhang S, You L, Huang Y. Construction and validation of a novel IGFBP3-related signature to predict prognosis and therapeutic decision making for Hepatocellular Carcinoma. PeerJ 2023; 11:e15554. [PMID: 37397026 PMCID: PMC10312159 DOI: 10.7717/peerj.15554] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 05/23/2023] [Indexed: 07/04/2023] Open
Abstract
Background IGFBP3 plays a pivotal role in carcinogenesis by being anomalously expressed in some malignancies. However, the clinical value of IGFBP3 and the role of IGFBP3-related signature in HCC remain unclear. Methods Multiple bioinformatics methods were used to determine the expression and diagnostic values of IGFBP3. The expression level of IGFBP3 was validated by RT-qPCR and IHC. A IGFBP3-related risk score (IGRS) was built via correlation analysis and LASSO Cox regression analysis. Further analyses, including functional enrichment, immune status of risk groups were analyzed, and the role of IGRS in guiding clinical treatment was also evaluated. Results IGFBP3 expression was significantly downregulated in HCC. IGFBP3 expression correlated with multiple clinicopathological characteristics and demonstrated a powerful diagnostic capability for HCC. In addition, a novel IGRS signature was developed in TCGA, which exhibited good performance for prognosis prediction and its role was further validated in GSE14520. In TCGA and GSE14520, Cox analysis also confirmed that the IGRS could serve as an independent prognostic factor for HCC. Moreover, a nomogram with good accuracy for predicting the survival of HCC was further formulated. Additionally, enrichment analysis showed that the high-IGRS group was enriched in cancer-related pathways and immune-related pathways. Additionally, patients with high IGRS exhibited an immunosuppressive phenotype. Therefore, patients with low IGRS scores may benefit from immunotherapy. Conclusions IGFBP3 can act as a new diagnostic factor for HCC. IGRS signature represents a valuable predictive tool in the prognosis prediction and therapeutic decision making for Hepatocellular Carcinoma.
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Affiliation(s)
- Jianlin Chen
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, china
- Central Laboratory, Fujian Provincial Hospital, Fuzhou, China
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou, China
| | - Wanzhen Zhuang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, china
| | - Yu Xia
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, china
- Integrated Chinese and Western Medicine College, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Xiaoqing Yin
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, china
- Integrated Chinese and Western Medicine College, Fujian University of Traditional Chinese Medicine, Fuzhou, China
| | - Mingshu Tu
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, china
| | - Yi Zhang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, china
| | - Liangming Zhang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, china
| | - Hengbin Huang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, china
| | - Songgao Zhang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, china
| | - Lisheng You
- Department of Pathology, Fujian Provincial Hospital, Fuzhou, China
| | - Yi Huang
- Shengli Clinical Medical College, Fujian Medical University, Fuzhou, China
- Department of Clinical Laboratory, Fujian Provincial Hospital, Fuzhou, china
- Central Laboratory, Fujian Provincial Hospital, Fuzhou, China
- Center for Experimental Research in Clinical Medicine, Fujian Provincial Hospital, Fuzhou, China
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