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Liu J, Qu Y, Zhao Y, Liang F, Ji L, Wang Z, Li J, Zang Z, Huang H, Zhang J, Gu W, Dai L, Yang R. CCDC12 gene methylation in peripheral blood as a potential biomarker for breast cancer detection. Biomarkers 2024; 29:265-275. [PMID: 38776382 DOI: 10.1080/1354750x.2024.2358302] [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: 03/12/2024] [Accepted: 05/16/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Aberrant DNA methylation has been identified as biomarkers for breast cancer detection. Coiled-coil domain containing 12 gene (CCDC12) implicated in tumorigenesis. This study aims to investigate the potential of blood-based CCDC12 methylation for breast cancer detection. METHODS DNA methylation level of CpG sites (Cytosine-phosphate Guanine dinucleotides) in CCDC12 gene was measured by mass spectrometry in 255 breast cancer patients, 155 patients with benign breast nodules and 302 healthy controls. The association between CCDC12 methylation and breast cancer risk was evaluated by logistic regression and receiver operating characteristic curve analysis. RESULTS A total of eleven CpG sites were analyzed. The CCDC12 methylation levels were higher in breast cancer patients. Compared to the lowest tertile of methylation level in CpG_6,7, CpG_10 and CpG_11, the highest quartile was associated with 82, 91 and 95% increased breast cancer risk, respectively. The CCDC12 methylation levels were associated with estrogen receptor (ER) and human epidermal growth factor 2 (HER2) status. In ER-negative and HER2-positive (ER-/HER2+) breast cancer subtype, the combination of four sites CpG_2, CpG_5, CpG_6,7 and CpG_11 methylation levels could distinguish ER-/HER2+ breast cancer from the controls (AUC = 0.727). CONCLUSION The hypermethylation levels of CCDC12 in peripheral blood could be used for breast cancer detection.
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Affiliation(s)
- Jingjing Liu
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, China
| | - Yunhui Qu
- Department of Clinical Laboratory in the First Affiliated Hospital & Key Clinical Laboratory of Henan Province, Zhengzhou University, Zhengzhou, Henan, China
| | - Yutong Zhao
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, China
| | - Feifei Liang
- BGI College, Zhengzhou University, Zhengzhou, China
| | - Longtao Ji
- BGI College, Zhengzhou University, Zhengzhou, China
| | - Zhi Wang
- BGI College, Zhengzhou University, Zhengzhou, China
| | - Jinyu Li
- Department of Otology, the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Zishan Zang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Haixia Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jie Zhang
- Department of Clinical Laboratory, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - Wanjian Gu
- Department of Clinical Laboratory, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China
| | - Liping Dai
- Henan Institute of Medical and Pharmaceutical Sciences & Henan Key Medical Laboratory of Tumor Molecular Biomarkers, Zhengzhou University, Zhengzhou, China
| | - Rongxi Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
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Bi K, Yang J, Wei X. Alternative splicing variants involved in pyroptosis and cuproptosis contribute to phenotypic remodeling of the tumor microenvironment in cervical cancer. Reprod Sci 2023; 30:3648-3660. [PMID: 37434062 DOI: 10.1007/s43032-023-01284-y] [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: 02/05/2023] [Accepted: 06/04/2023] [Indexed: 07/13/2023]
Abstract
Cervical cancer (CC) remains a prevalent gynecological malignancy, posing a significant health burden among women worldwide. With the remarkable discoveries of cellular pyroptosis and cuproptosis, there has been a growing focus on exploring the intricate relationship between these two forms of cell death and their impact on tumor progression. In recent years, alternative splicing has emerged as a significant field in cancer research. Thus, the integration of alternative splicing, pyroptosis, and cuproptosis holds immense value in studying their collective impact on the occurrence and progression of cervical cancer. In this study, alternative splicing data of pyroptosis- and cuproptosis-associated genes were integrated with public databases, including TCGA, to establish a prognostic model for cervical cancer based on COX regression modeling. Subsequently, the tumor microenvironment (TME) phenotypes in the high-risk and low-risk patient groups were characterized through a comprehensive bioinformatics analysis. The findings of this study revealed that the low-risk group exhibited a predominant immune-active TME phenotype, while the high-risk group displayed a tumor-favoring metabolic phenotype. These results indicate that the alternative splicing of pyroptosis- and cuproptosis-associated genes plays a pivotal role in remodeling the phenotypic landscape of the cervical cancer TME by modulating immune responses and metabolic pathways. This study provides valuable insights into the interplay between alternative splicing variants involved in pyroptosis and cuproptosis and the TME, contributing to a deeper understanding of cervical cancer pathogenesis and potential therapeutic avenues.
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Affiliation(s)
- Kewei Bi
- Department of Physiology, College of Basic Medicine, Shenyang Medical College, Shenyang, China
| | - Jialin Yang
- Department of Pathology, College of Basic Medicine, Shenyang Medical College, Shenyang, China
| | - Xuge Wei
- Department of Bioinformatics, Faculty of Biology, College of Basic Medicine, Shenyang Medical College, Shenyang, China.
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Han S, Wang S, Lv X, Li D, Feng Y. Ferroptosis-related genes in cervical cancer as biomarkers for predicting the prognosis of gynecological tumors. Front Mol Biosci 2023; 10:1188027. [PMID: 37187896 PMCID: PMC10175786 DOI: 10.3389/fmolb.2023.1188027] [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: 03/16/2023] [Accepted: 04/17/2023] [Indexed: 05/17/2023] Open
Abstract
Background: Ferroptosis has been identified as a potent predictor of cancer prognosis. Currently, cervical cancer ranks among the most prevalent malignant tumors in women. Enhancing the prognosis for patients experiencing metastasis or recurrence is of critical importance. Consequently, investigating the potential of ferroptosis-related genes (FRGs) as prognostic biomarkers for cervical cancer patients is essential. Methods: In this study, 52 FRGs were obtained from the GSE9750, GSE7410, GSE63514, and FerrDb databases. Six genes possessing prognostic characteristics were identified: JUN, TSC22D3, SLC11A2, DDIT4, DUOX1, and HELLS. The multivariate Cox regression analysis was employed to establish and validate the prognostic model, while simultaneously performing a correlation analysis of the immune microenvironment. Results: The prediction model was validated using TCGA-CESC and GSE44001 datasets. Furthermore, the prognostic model was validated in endometrial cancer and ovarian serous cystadenocarcinoma cases. KM curves revealed significant differences in OS between high-risk and low-risk groups. ROC curves demonstrated the stability and accuracy of the prognostic model established in this study. Concurrently, the research identified a higher proportion of immune cells in patients within the low-risk group. Additionally, the expression of immune checkpoints (TIGIT, CTLA4, BTLA, CD27, and CD28) was elevated in the low-risk group. Ultimately, 4 FRGs in cervical cancer were corroborated through qRT-PCR. Conclusion: The FRGs prognostic model for cervical cancer not only exhibits robust stability and accuracy in predicting the prognosis of cervical cancer patients but also demonstrates considerable prognostic value in other gynecological tumors.
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Affiliation(s)
- Songtao Han
- Xinjiang Key Laboratory of Oncology, Tumor Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
- Clinical Laboratory Center, Hospital of Traditional Chinese Medicine Affiliated to Xinjiang Medical University, Ürümqi, China
| | - Senyu Wang
- Xinjiang Key Laboratory of Oncology, Tumor Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
- Department of Laboratory Medicine, Tumor Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
- Department of Laboratory Medicine, Second Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
| | - Xiang Lv
- Department of Laboratory Medicine, Jianyang People’s Hospital, Chengdu, China
| | - Dan Li
- Department of Encephalopathy, Hospital of Traditional Chinese Medicine Affiliated to Xinjiang Medical University, Ürümqi, China
| | - Yangchun Feng
- Xinjiang Key Laboratory of Oncology, Tumor Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
- Department of Laboratory Medicine, Tumor Hospital Affiliated to Xinjiang Medical University, Ürümqi, China
- *Correspondence: Yangchun Feng,
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4
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Yang Y, Zhao Y, Sun G, Zuo S, Chai J, Xu T, Liu J, Li L, Song J, Qian S, Kang Y, Sui F, Li M, Jia Q. FBXO39 predicts poor prognosis and correlates with tumor progression in cervical squamous cell carcinoma. Pathol Res Pract 2022; 238:154090. [PMID: 36049441 DOI: 10.1016/j.prp.2022.154090] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/23/2022] [Accepted: 08/23/2022] [Indexed: 12/28/2022]
Abstract
BACKGROUND Cancer/testis antigen (CTA) is a class of antigen molecules mainly expressed in the germinal epithelium of testis and some tumor tissues. FBXO39, also known as F-box protein 39, is a crucial CTA molecule. F-box protein 39 (FBXO39) is overexpressed in cervical squamous cell carcinomas (CESCs), however its function in cancer development and clinical significance are still unknown. METHODS We used paraffin-embedded tumor tissues from 124 patients and fresh-harvested and paired adjacent normal esophageal tissues from 15 CESC patients who underwent primary surgical resection in Xijing Hospital between 2015 and 2020. The expression level of FBXO39 was evaluated through immunohistochemistry, Western Blot and q-PCR. Prognostic and survival analyses were conducted using univariate/multivariate analysis and log-rank analysis with SPSS 23.0. CCK-8, wound-healing and Transwell assays were applied to demonstrate that FBXO39 promoted the proliferation, migration and invasion. Finally, we constructed a xenografts model of the C-33A cell lines to observe the effect of FBXO39 on tumorigenesis in vivo. RESULTS Immunohistochemical results showed that FBXO39 was highly expressed in cancer tissues than in corresponding non-cancer tissues. Similarly, we proved this result at protein and mRNA level by Western-Blotting and q-PCR. Prognostic and OS analyses showed that the FBXO39 expression level was an individual prognostic factor in CESC patients. CCK-8, wound-healing and Transwell assays proved that the overexpression of FBXO39 in Si-Ha cells promoted the proliferation, migration and invasion of the cells. Knocking down FBXO39 in C-33A cells inhibited the proliferation, migration and invasion of cells. The experimental results of xenografts model in nude mice showed that the knockdown of FBXO39 in C-33A cells slowed down the growth of tumor. CONCLUSION FBXO39 is a poor prognostic factor of cervical squamous cell carcinoma, which may provide a novel therapeutic target for CESC.
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Affiliation(s)
- Yanru Yang
- State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Yun Zhao
- Military medicine and special subject, No. 971 hospital of the PLA Navy, Qingdao, China
| | - Guorui Sun
- State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Saijie Zuo
- School of Pharmacy, Hebei University of Chinese Medicine, Shijiazhuang, China
| | - Jia Chai
- State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Tianqi Xu
- State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Jin Liu
- State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Lingfei Li
- State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Junyang Song
- State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Shoubin Qian
- State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China
| | - Yulin Kang
- Institute of Environmental Information, Chinese Research academy of Environmental Sciences, Beijing, China.
| | - Fang Sui
- Department of Otorhinolaryngology-Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
| | - Mingyang Li
- State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China.
| | - Qingge Jia
- Department of Reproductive Endocrinology, Xi'an International Medical Center, Northwest University, Xi'an, China.
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5
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Basera A, Hull R, Demetriou D, Bates DO, Kaufmann AM, Dlamini Z, Marima R. Competing Endogenous RNA (ceRNA) Networks and Splicing Switches in Cervical Cancer: HPV Oncogenesis, Clinical Significance and Therapeutic Opportunities. Microorganisms 2022; 10:1852. [PMID: 36144454 PMCID: PMC9501168 DOI: 10.3390/microorganisms10091852] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 08/25/2022] [Accepted: 09/09/2022] [Indexed: 12/20/2022] Open
Abstract
Cervical cancer (CC) is the primary cause of female cancer fatalities in low-middle-income countries (LMICs). Persistent infections from the human papillomavirus (HPV) can result in cervical cancer. However, numerous different factors influence the development and progression of cervical cancer. Transcriptomic knowledge of the mechanisms with which HPV causes cervical cancer pathogenesis is growing. Nonetheless, there is an existing gap hindering the development of therapeutic approaches and the improvement of patient outcomes. Alternative splicing allows for the production of numerous RNA transcripts and protein isoforms from a single gene, increasing the transcriptome and protein diversity in eukaryotes. Cancer cells exhibit astounding transcriptome modifications by expressing cancer-specific splicing isoforms. High-risk HPV uses cellular alternative splicing events to produce viral and host splice variants and proteins that drive cancer progression or contribute to distinct cancer hallmarks. Understanding how viruses utilize alternative splicing to drive pathogenesis and tumorigenesis is essential. Although research into the role of miRNAs in tumorigenesis is advancing, the function of other non-coding RNAs, including lncRNA and circRNA, has been understudied. Through their interaction with mRNA, non-coding RNAs form a network of competing endogenous RNAs (ceRNAs), which regulate gene expression and promote cervical cancer development and advancement. The dysregulated expression of non-coding RNAs is an understudied and tangled process that promotes cervical cancer development. This review will present the role of aberrant alternative splicing and immunosuppression events in HPV-mediated cervical tumorigenesis, and ceRNA network regulation in cervical cancer pathogenesis will also be discussed. Furthermore, the therapeutic potential of splicing disruptor drugs in cervical cancer will be deliberated.
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Affiliation(s)
- Afra Basera
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention, Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, Pretoria 0028, South Africa
- Department of Medical Oncology, Steve Biko Academic Hospital and University of Pretoria, Hatfield, Pretoria 0028, South Africa
| | - Rodney Hull
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention, Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, Pretoria 0028, South Africa
| | - Demetra Demetriou
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention, Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, Pretoria 0028, South Africa
| | - David Owen Bates
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention, Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, Pretoria 0028, South Africa
- David Owen Bates, Division of Cancer and Stem Cells, Centre for Cancer Sciences, Biodiscovery Institute, University of Nottingham, Nottingham NG7 2RD, UK
| | - Andreas Martin Kaufmann
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention, Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, Pretoria 0028, South Africa
- Clinic for Gynaecology, Laboratory for Gynaecologic Tumor Immunology, Institute of Health, Charité-Universitätsmedizin, Freie Universität Berlin, Humboldt-Universität zu Berlin, Augustenburgerplatz 1, 13353 Berlin, Germany
| | - Zodwa Dlamini
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention, Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, Pretoria 0028, South Africa
| | - Rahaba Marima
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChI Chair in Precision Oncology and Cancer Prevention, Pan African Cancer Research Institute (PACRI), University of Pretoria, Hatfield, Pretoria 0028, South Africa
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Reza MS, Hossen MA, Harun-Or-Roshid M, Siddika MA, Kabir MH, Mollah MNH. Metadata analysis to explore hub of the hub-genes highlighting their functions, pathways and regulators for cervical cancer diagnosis and therapies. Discov Oncol 2022; 13:79. [PMID: 35994213 PMCID: PMC9395557 DOI: 10.1007/s12672-022-00546-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 08/11/2022] [Indexed: 11/25/2022] Open
Abstract
Cervical cancer (CC) is considered as the fourth most common women cancer globally.that shows malignant features of local infiltration and invasion into adjacent organs and tissues. There are several individual studies in the literature that explored CC-causing hub-genes (HubGs), however, we observed that their results are not so consistent. Therefore, the main objective of this study was to explore hub of the HubGs (hHubGs) that might be more representative CC-causing HubGs compare to the single study based HubGs. We reviewed 52 published articles and found 255 HubGs/studied-genes in total. Among them, we selected 10 HubGs (CDK1, CDK2, CHEK1, MKI67, TOP2A, BRCA1, PLK1, CCNA2, CCNB1, TYMS) as the hHubGs by the protein-protein interaction (PPI) network analysis. Then, we validated their differential expression patterns between CC and control samples through the GPEA database. The enrichment analysis of HubGs revealed some crucial CC-causing biological processes (BPs), molecular functions (MFs) and cellular components (CCs) by involving hHubGs. The gene regulatory network (GRN) analysis identified four TFs proteins and three miRNAs as the key transcriptional and post-transcriptional regulators of hHubGs. Then, we identified hHubGs-guided top-ranked FDA-approved 10 candidate drugs and validated them against the state-of-the-arts independent receptors by molecular docking analysis. Finally, we investigated the binding stability of the top-ranked three candidate drugs (Docetaxel, Temsirolimus, Paclitaxel) by using 100 ns MD-based MM-PBSA simulations and observed their stable performance. Therefore the finding of this study might be the useful resources for CC diagnosis and therapies.
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Affiliation(s)
- Md. Selim Reza
- Bioinformatics Lab, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh
| | - Md. Alim Hossen
- Bioinformatics Lab, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh
| | - Md. Harun-Or-Roshid
- Bioinformatics Lab, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh
| | - Mst. Ayesha Siddika
- Microbiology Lab, Department of Veterinary and Animal Sciences, University of Rajshahi, Rajshahi-6205, Bangladesh
| | - Md. Hadiul Kabir
- Bioinformatics Lab, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh
| | - Md. Nurul Haque Mollah
- Bioinformatics Lab, Department of Statistics, University of Rajshahi, Rajshahi-6205, Bangladesh
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The splicing factor SF3B4 drives proliferation and invasion in cervical cancer by regulating SPAG5. Cell Death Discov 2022; 8:326. [PMID: 35853859 PMCID: PMC9296558 DOI: 10.1038/s41420-022-01120-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 07/03/2022] [Accepted: 07/05/2022] [Indexed: 12/24/2022] Open
Abstract
Regulation of alternative splicing (AS) by the splicing factor 3b (SF3B) family plays an essential role in cancer. However, the biological function of SF3B family members in cervical cancer (CC) needs to be further elucidated. In this study, we found that splicing factor 3b subunit 4 (SF3B4) was highly expressed in CC by bioinformatics analysis using cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) data from The Cancer Genome Atlas (TCGA). Then, we demonstrated that high expression of SF3B4 promoted proliferation and invasion abilities of CC cells in vitro and in vivo and that reduced expression of SF3B4 performed the opposite effect. Further RNA-seq and AS analysis showed that sperm-associated antigen 5 (SPAG5) was a downstream target gene of SF3B4. Interestingly, SPAG5 expression was decreased after SF3B4 knockdown because of retained introns (RIs) and reduced maturation of SPAG5 pre-mRNA. Importantly, SPAG5 deficiency impaired the oncogenic effects of SF3B4 overexpression on CC cells. In conclusion, SF3B4 promotes CC progression by regulating the effective splicing of SPAG5. SF3B4 could be a promising target for CC.
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Zhang Y, Wang X, Wang H, Jiang Y, Xu Z, Luo L. Elevated Small Nuclear Ribonucleoprotein Polypeptide an Expression Correlated With Poor Prognosis and Immune Infiltrates in Patients With Hepatocellular Carcinoma. Front Oncol 2022; 12:893107. [PMID: 35860579 PMCID: PMC9290672 DOI: 10.3389/fonc.2022.893107] [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: 03/10/2022] [Accepted: 06/07/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundElevated Small Nuclear Ribonucleoprotein Polypeptide A (SNRPA) can enhance tumor cell growth and proliferation in various cancers. However, rarely studies focus on the comprehensive analysis of SNRPA in hepatocellular carcinoma (HCC).MethodsTCGA and GEO databases were used to analyze the mRNA expression of SNRPA in HCC. Protein expression of SNAPA was validated using immunohistochemistry. Stably transfected HCC cells were used to investigate the role of SNRPA in the progression of HCC. The functional enrichment analysis was utilized for the biological function prediction. The CIBERSORT and ssGSEA algorithms were used to evaluate the composition of the tumor microenvironment and immunocyte infiltration ratio.ResultsThe SNRPA expression was upregulated in HCC and positively correlated with tumor stage and grade. SNRPA overexpression were independent risk factors for poor overall survival (OS) and recurrence-free survival (RFS). In patients with early-stage disease, low alpha-fetoprotein expression, and better differentiation, SNRPA still exhibited the excellent prognostic value. Knockdown of SNRPA inhibited the proliferation and migration while promoting the apoptosis of HCC cells. Higher methylation of the CpG site cg16596691 correlated with longer OS in HCC patients. Genes co-expressed with SNRPA were overexpressed in HCC and correlated with shorter OS. The GO and KEGG enrichment analysis showed that SNRPA expression was related to mRNA splicing, spliceosome signaling. GSEA demonstrated that the main enrichment pathway of SNRPA-related differential genes was spliceosome signaling, cell cycle signaling, P53 signaling pathway, T cell receptor signaling pathway, natural killer cell-mediated signaling. CIBERSORT and ssGSEA algorithm revealed that SNRPA was mainly associated with the higher proportion of CD8+T cells, T cells follicular helper, T cells regulatory, Macrophages M0, and the lower proportion of T cells CD4 memory resting, NK cells resting, Monocytes, and Mast cells resting.ConclusionElevated SNRPA enhances tumor cell proliferation and correlated with poor prognosis and immune infiltrates in patients with HCC.
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Affiliation(s)
- Youfu Zhang
- Department of Organ Transplantation, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Xuyang Wang
- Department of Organ Transplantation, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
| | - Huaxiang Wang
- Department of Hepatobiliary Surgery, The Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Hepatobiliary Surgery, 900 Hospital of the Joint Logistic Team, Fuzhou, China
| | - Yi Jiang
- Department of Hepatobiliary Surgery, The Fuzong Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Hepatobiliary Surgery, 900 Hospital of the Joint Logistic Team, Fuzhou, China
| | - Zhidan Xu
- Department of Organ Transplantation, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
- *Correspondence: Laibang Luo, ; Zhidan Xu,
| | - Laibang Luo
- Department of Organ Transplantation, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China
- *Correspondence: Laibang Luo, ; Zhidan Xu,
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9
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Wang L, Zhou Y, Cao C, Lin S, Zhi W, Zhang D, Li J, Wei R, Jiang G, Xu H, Wang X, Xi L, Wu P. The exon 12-containing LHX6 isoforms promote cervical cancer cell proliferation by regulating the MAPK signaling pathway. Cancer Med 2022; 11:3657-3673. [PMID: 35384355 PMCID: PMC9554449 DOI: 10.1002/cam4.4734] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2021] [Revised: 01/31/2022] [Accepted: 03/18/2022] [Indexed: 12/24/2022] Open
Abstract
LIM homeobox 6 (LHX6) has been reported to be downregulated and inhibits cell proliferation in various cancers. Alternative splicing of LHX6 leads to six annotated isoforms, which can be found in the NCBI database. However, the expression patterns and potential roles of these isoforms remain poorly characterized in cervical cancer. Here, we demonstrated that the LHX6 isoforms containing exon 12 (LHX6EX(+12) group) and isoforms lacking exon 12 (LHX6EX(-12) group) were differentially expressed in cervical tissue by qRT-PCR. The mRNA expression level of LHX6EX(+12) group was higher than that of LHX6EX(-12) group in cervical cancer tissue. Knockdown of LHX6EX(+12) group and all LHX6 isoforms (LHX6All group) inhibited cell growth, increased cell apoptosis, and induced cell cycle arrest from G0/G1 phase to S phase in vitro. Consistently, overexpression of the LHX6EX(+12) group promoted cervical cancer cell proliferation in vitro. In contrast, no significant differences in cell proliferation were found between LHX6EX(-12) isoform knockdown group and its control. RNA-sequencing suggested that the LHX6EX(+12) isoform group might exert its cancer-promoting effects in cervical cancer via regulating MAPK signaling pathway. Downregulation of the LHX6EX(+12) group significantly suppressed the phosphorylation of MRK, ERK, JNK, and P38 at the protein level. We also identified some unique biological processes and signaling pathways in which each isoform group might be involved. In summary, our results indicated that LHX6EX(+12) isoform group was the dominant oncogenic type of LHX6 in cervical cancer, which may be a new biomarker and a potential precise therapeutic target for cervical cancer in the future.
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Affiliation(s)
- Ling Wang
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ying Zhou
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Canhui Cao
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Shitong Lin
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wenhua Zhi
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Danya Zhang
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jie Li
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Rui Wei
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Guiying Jiang
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hanjie Xu
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xueqian Wang
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ling Xi
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Peng Wu
- Cancer Biology Research Center (Key Laboratory of the Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.,Department of Gynecologic Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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10
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Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer. Int J Mol Sci 2022; 23:ijms23073968. [PMID: 35409328 PMCID: PMC8999699 DOI: 10.3390/ijms23073968] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 03/13/2022] [Accepted: 03/22/2022] [Indexed: 02/06/2023] Open
Abstract
Bioinformatics analysis has been playing a vital role in identifying potential genomic biomarkers more accurately from an enormous number of candidates by reducing time and cost compared to the wet-lab-based experimental procedures for disease diagnosis, prognosis, and therapies. Cervical cancer (CC) is one of the most malignant diseases seen in women worldwide. This study aimed at identifying potential key genes (KGs), highlighting their functions, signaling pathways, and candidate drugs for CC diagnosis and targeting therapies. Four publicly available microarray datasets of CC were analyzed for identifying differentially expressed genes (DEGs) by the LIMMA approach through GEO2R online tool. We identified 116 common DEGs (cDEGs) that were utilized to identify seven KGs (AURKA, BRCA1, CCNB1, CDK1, MCM2, NCAPG2, and TOP2A) by the protein–protein interaction (PPI) network analysis. The GO functional and KEGG pathway enrichment analyses of KGs revealed some important functions and signaling pathways that were significantly associated with CC infections. The interaction network analysis identified four TFs proteins and two miRNAs as the key transcriptional and post-transcriptional regulators of KGs. Considering seven KGs-based proteins, four key TFs proteins, and already published top-ranked seven KGs-based proteins (where five KGs were common with our proposed seven KGs) as drug target receptors, we performed their docking analysis with the 80 meta-drug agents that were already published by different reputed journals as CC drugs. We found Paclitaxel, Vinorelbine, Vincristine, Docetaxel, Everolimus, Temsirolimus, and Cabazitaxel as the top-ranked seven candidate drugs. Finally, we investigated the binding stability of the top-ranked three drugs (Paclitaxel, Vincristine, Vinorelbine) by using 100 ns MD-based MM-PBSA simulations with the three top-ranked proposed receptors (AURKA, CDK1, TOP2A) and observed their stable performance. Therefore, the proposed drugs might play a vital role in the treatment against CC.
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11
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Cheng R, Xu Z, Luo M, Wang P, Cao H, Jin X, Zhou W, Xiao L, Jiang Q. Identification of alternative splicing-derived cancer neoantigens for mRNA vaccine development. Brief Bioinform 2022; 23:bbab553. [PMID: 35279714 DOI: 10.1093/bib/bbab553] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Revised: 11/15/2021] [Accepted: 12/02/2021] [Indexed: 12/17/2023] Open
Abstract
Messenger RNA (mRNA) vaccines have shown great potential for anti-tumor therapy due to the advantages in safety, efficacy and industrial production. However, it remains a challenge to identify suitable cancer neoantigens that can be targeted for mRNA vaccines. Abnormal alternative splicing occurs in a variety of tumors, which may result in the translation of abnormal transcripts into tumor-specific proteins. High-throughput technologies make it possible for systematic characterization of alternative splicing as a source of suitable target neoantigens for mRNA vaccine development. Here, we summarized difficulties and challenges for identifying alternative splicing-derived cancer neoantigens from RNA-seq data and proposed a conceptual framework for designing personalized mRNA vaccines based on alternative splicing-derived cancer neoantigens. In addition, several points were presented to spark further discussion toward improving the identification of alternative splicing-derived cancer neoantigens.
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Affiliation(s)
- Rui Cheng
- Harbin Institute of Technology, China
| | | | - Meng Luo
- Harbin Institute of Technology, China
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12
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Xing C, Yin H, Yao ZY, Xing XL. Prognostic Signatures Based on Ferroptosis- and Immune-Related Genes for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma. Front Oncol 2022; 11:774558. [PMID: 35087751 PMCID: PMC8787259 DOI: 10.3389/fonc.2021.774558] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Accepted: 12/09/2021] [Indexed: 01/01/2023] Open
Abstract
Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) are among the most common malignancies of the female genital tract. Ferroptosis and immunity regulate each other and play important roles in the progression of CESC. The present study aimed to screen ferroptosis- and immune-related differentially expressed genes (FI-DEGs) to identify suitable prognostic signatures for patients with CESC. We downloaded the RNAseq count data and corresponding clinical information of CESC patients from The Cancer Genome Atlas database; obtained recognized ferroptosis- and immune-related genes from the FerrDb and ImmPort databases, respectively; and screened for suitable prognostic signatures using a series of bioinformatics analyses. We identified eight FI-DEGs (CALCRL, CHIT1, DES, DUOX1, FLT1, HELLS, SCD, and SDC1) that were independently correlated with the overall survival of patients with CESC. The prediction model constructed using these eight FI-DEGs was also independently correlated with overall survival. Both the sensitivity and specificity of the prediction model constructed using these eight signatures were over 60%. The comprehensive index of ferroptosis and immune status was significantly correlated with the immunity of patients with CESC. In conclusion, the risk assessment model constructed with these eight FI-DEGs predicted the CESC outcomes. Therefore, these eight FI-DEGs could serve as prognostic signatures for CESC.
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Affiliation(s)
- Chaoqun Xing
- School of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, China.,The First Affiliated Hospital of Hunan University of Medicine, Huaihua, China
| | - Huiming Yin
- School of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, China.,The First Affiliated Hospital of Hunan University of Medicine, Huaihua, China
| | - Zhi-Yong Yao
- School of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, China
| | - Xiao-Liang Xing
- School of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, China
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13
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Yan J, He Y, Wang M, Wu Y. Prognostic Nomogram for Overall Survival of Patients Aged 50 Years or Older with Cervical Cancer. Int J Gen Med 2021; 14:7741-7754. [PMID: 34785932 PMCID: PMC8579836 DOI: 10.2147/ijgm.s335409] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 10/07/2021] [Indexed: 11/23/2022] Open
Abstract
Objective The prognostic factors of cervical cancer in elderly patients have not been researched systematically. We aimed to investigate the clinicopathological characteristics of patients with cervical cancer aged ≥50 years and establish a nomogram for evaluating their prognoses for overall survival. Methods From the Surveillance, Epidemiology, and End Results database, we obtained data of 8538 patients with pathology-confirmed cervical cancer between 2004 and 2015. Patients were divided into training (n = 5941) and validation (n = 2597) cohorts. A nomogram was constructed to evaluate the prognostic prediction value for disease progression. The concordance index, receiver operating characteristic curve, and calibration chart were used to evaluate the model's prediction accuracy and discriminative ability. Survival condition was analyzed using the Kaplan-Meier method. Results In the training cohort, age at diagnosis, race, histology, grade, stage, tumor size, number of examined lymph nodes, and treatment significantly correlated with outcome and were used to develop the nomogram. The calibration curve for survival probability showed an excellent agreement between the nomogram-predicted and actual survival in the training cohort. Conclusion Our nomogram has less bias and gives better accuracy than the International Federation of Gynecology and Obstetrics staging system and can help set up a more individualized feasible follow-up plan.
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Affiliation(s)
- Jing Yan
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University; Beijing Maternal and Child Health Care Hospital, Beijing, People's Republic of China.,Department of Gynecology, Fuxing Hospital, Capital Medical University, Beijing, People's Republic of China
| | - Yue He
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University; Beijing Maternal and Child Health Care Hospital, Beijing, People's Republic of China
| | - Ming Wang
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University; Beijing Maternal and Child Health Care Hospital, Beijing, People's Republic of China
| | - Yumei Wu
- Department of Gynecological Oncology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University; Beijing Maternal and Child Health Care Hospital, Beijing, People's Republic of China
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14
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Liu M, Khushbu RA, Chen P, Hu HY, Tang N, Ou-Yang DJ, Wei B, Zhao YX, Huang P, Chang S. Comprehensive Analysis of Prognostic Alternative Splicing Signature Reveals Recurrence Predictor for Papillary Thyroid Cancer. Front Oncol 2021; 11:705929. [PMID: 34722250 PMCID: PMC8548661 DOI: 10.3389/fonc.2021.705929] [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: 05/06/2021] [Accepted: 09/27/2021] [Indexed: 11/18/2022] Open
Abstract
Background Alternative splicing (AS) plays a key role in the diversity of proteins and is closely associated with tumorigenicity. The aim of this study was to systemically analyze RNA alternative splicing (AS) and identify its prognostic value for papillary thyroid cancer (PTC). Methods AS percent-splice-in (PSI) data of 430 patients with PTC were downloaded from the TCGA SpliceSeq database. We successfully identified recurrence-free survival (RFS)-associated AS events through univariate Cox regression, LASSO regression and multivariate regression and then constructed different types of prognostic prediction models. Gene function enrichment analysis revealed the relevant signaling pathways involved in RFS-related AS events. Simultaneously, a regulatory network diagram of AS and splicing factors (SFs) was established. Results We identified 1397 RFS-related AS events which could be used as the potential prognostic biomarkers for PTC. Based on these RFS-related AS events, we constructed a ten-AS event prognostic prediction signature that could distinguish high-and low-risk patients and was highly capable of predicting PTC patient prognosis. ROC curve analysis revealed the excellent predictive ability of the ten-AS events model, with an area under the curve (AUC) value of 0.889; the highest prediction intensity for one-year RFS was 0.923, indicating that the model could be used as a prognostic biomarker for PTC. In addition, the nomogram constructed by the risk score of the ten-AS model also showed high predictive efficiency for the prognosis of PTC patients. Finally, the constructed SF-AS network diagram revealed the regulatory role of SFs in PTC. Conclusion Through the limited analysis, AS events could be regarded as reliable prognostic biomarkers for PTC. The splicing correlation network also provided new insight into the potential molecular mechanisms of PTC.
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Affiliation(s)
- Mian Liu
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, China
| | - Rooh Afza Khushbu
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, China
| | - Pei Chen
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, China
| | - Hui-Yu Hu
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, China
| | - Neng Tang
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, China
| | - Deng-Jie Ou-Yang
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, China
| | - Bo Wei
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, China
| | - Ya-Xin Zhao
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, China
| | - Peng Huang
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, China.,Clinical Research Center for Thyroid Disease in Hunan Province, Changsha, China
| | - Shi Chang
- Department of General Surgery, Xiangya Hospital Central South University, Changsha, China.,Clinical Research Center for Thyroid Disease in Hunan Province, Changsha, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China
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15
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Ye P, Yang Y, Zhang L, Zheng G. Prognostic Signatures of Alternative Splicing Events in Esophageal Carcinoma Based on TCGA Splice-Seq Data. Front Oncol 2021; 11:658262. [PMID: 34676158 PMCID: PMC8524056 DOI: 10.3389/fonc.2021.658262] [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: 01/27/2021] [Accepted: 09/14/2021] [Indexed: 12/24/2022] Open
Abstract
An alternative splicing (AS) event is a highly complex process that plays an essential role in post-transcriptional gene expression. Several studies have suggested that abnormal AS events were the primary element in the pathological process of cancer. However, few works are dedicated to the study of AS events in esophageal carcinoma (EC). In the present study, clinical information and RNA-seq data of EC patients were downloaded from The Cancer Genome Atlas (TCGA) database. The percent spliced in (PSI) values of AS events were acquired from the TCGA Splice-seq. A total of 183 EC patients were enrolled in this study, and 2,212 AS events were found significantly associated with the overall survival of these patients by univariate Cox regression analysis. The prognostic signatures based on AS events were built by multivariate Cox analysis. Receiver operating characteristic (ROC) curves displayed that the area under the curve (AUC) of the following prognostic signatures, including exon skip (ES), alternate terminator (AT), alternate acceptor site (AA), alternate promoter (AP), alternate donor site (AD), retained intron (RI), and total events, was greater than 0.8, suggesting that these seven signatures had valuable prognosis prediction capacity. Finally, the risk score of prognostic signatures was indicated as an independent risk factor of survival. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to explore the function of splicing factors (SFs) that were associated with AS events. Also, the interactive network between AS events and SFs identified several hub genes and AS events which need further study. This was a comprehensive study that explored prognosis-related AS events and established valuable prognosis signatures in EC patients. The network of interactions between AS events and SFs might offer novel insights into the fundamental mechanisms of tumorigenesis and progression of EC.
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Affiliation(s)
- Ping Ye
- National Health Commission Key Laboratory of Otorhinolaryngology, Department of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
| | - Yan Yang
- National Health Commission Key Laboratory of Otorhinolaryngology, Department of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
| | - Liqiang Zhang
- National Health Commission Key Laboratory of Otorhinolaryngology, Department of Otorhinolaryngology, Qilu Hospital of Shandong University, Jinan, China
| | - Guixi Zheng
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China
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16
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The Catastrophic HPV/HIV Dual Viral Oncogenomics in Concert with Dysregulated Alternative Splicing in Cervical Cancer. Int J Mol Sci 2021; 22:ijms221810115. [PMID: 34576278 PMCID: PMC8472041 DOI: 10.3390/ijms221810115] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 09/04/2021] [Accepted: 09/06/2021] [Indexed: 11/16/2022] Open
Abstract
Cervical cancer is a public health problem and has devastating effects in low-to-middle-income countries (LTMICs) such as the sub-Saharan African (SSA) countries. Infection by the human papillomavirus (HPV) is the main cause of cervical cancer. HIV positive women have higher HPV prevalence and cervical cancer incidence than their HIV negative counterparts do. Concurrent HPV/HIV infection is catastrophic, particularly to African women due to the high prevalence of HIV infections. Although various studies show a relationship between HPV, HIV and cervical cancer, there is still a gap in the knowledge concerning the precise nature of this tripartite association. Firstly, most studies show the relationship between HPV and cervical cancer at genomic and epigenetic levels, while the transcriptomic landscape of this relationship remains to be elucidated. Even though many studies have shown HPV/HIV dual viral pathogenesis, the dual molecular oncoviral effects on the development of cervical cancer remains largely uncertain. Furthermore, the effect of highly active antiretroviral therapy (HAART) on the cellular splicing machinery is unclear. Emerging evidence indicates the vital role played by host splicing events in both HPV and HIV infection in the development and progression to cervical cancer. Therefore, decoding the transcriptome landscape of this tripartite relationship holds promising therapeutic potential. This review will focus on the link between cellular splicing machinery, HPV, HIV infection and the aberrant alternative splicing events that take place in HIV/HPV-associated cervical cancer. Finally, we will investigate how these aberrant splicing events can be targeted for the development of new therapeutic strategies against HPV/HIV-associated cervical cancer.
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17
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Shang C, Li Y, Wu Z, Han Q, Zhu Y, He T, Guo H. The Prognostic Value of DNA Methylation, Post-Translational Modifications and Correlated with Immune Infiltrates in Gynecologic Cancers. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2021; 14:39-53. [PMID: 33488112 PMCID: PMC7814251 DOI: 10.2147/pgpm.s293399] [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: 11/24/2020] [Accepted: 12/26/2020] [Indexed: 11/23/2022]
Abstract
Background To depict the prognostic landscape of gynecological cancers from the perspective of DNA methylation, alternative splicing (AS) and polyadenylation (APA) events and investigate their correlation with immune infiltrates. Methods Methylation and RNA-seq data and corresponding clinical information regarding gynecologic cancers were used to explore the relationships between changes in DNA methylation, AS and APA events and gynecologic cancer prognosis. QRT-PCR and multiple bioinformatics tools were employed to construct a gene interaction network and explore immune infiltrates. Results Only the mRNA levels of CIRBP and INPP5K were simultaneously significantly decreased in gynecologic cancers and negatively associated with overall survival, which verified by qrt-PCR. We also identified that CIRBP or INPP5K DNA methylation, AS and APA events are prognostic indicators of gynecologic cancers. The activation of T cells might be the main signaling pathway by which these genes modulate cancer progression. CIRBP/INPP5K expression is positively associated with immune infiltration and is a major risk factor of survival, especially among uterine corpus endometrial carcinoma (UCEC) patients. Conclusion According to these findings, the DNA methylation, AS and APA events of CIRBP and INPP5K may serve as important prognostic biomarkers and targets in gynecological cancers by modulating T cell infiltration.
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Affiliation(s)
- Chunliang Shang
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, People's Republic of China
| | - Yuan Li
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, People's Republic of China
| | - Zhangxin Wu
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, People's Republic of China
| | - Qin Han
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, People's Republic of China
| | - Yuan Zhu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, People's Republic of China
| | - Tianhui He
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, People's Republic of China
| | - Hongyan Guo
- Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing 100191, People's Republic of China.,National Clinical Research Center for Obstetrics and Gynecology (Peking University Third Hospital), Beijing 100191, People's Republic of China
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18
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Splicing Genomics Events in Cervical Cancer: Insights for Phenotypic Stratification and Biomarker Potency. Genes (Basel) 2021; 12:genes12020130. [PMID: 33498485 PMCID: PMC7909518 DOI: 10.3390/genes12020130] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 01/09/2021] [Accepted: 01/12/2021] [Indexed: 12/24/2022] Open
Abstract
Gynaecological cancers are attributed to the second most diagnosed cancers in women after breast cancer. On a global scale, cervical cancer is the fourth most common cancer and the most common cancer in developing countries with rapidly increasing mortality rates. Human papillomavirus (HPV) infection is a major contributor to the disease. HPV infections cause prominent cellular changes including alternative splicing to drive malignant transformation. A fundamental characteristic attributed to cancer is the dysregulation of cellular transcription. Alternative splicing is regulated by several splicing factors and molecular changes in these factors lead to cancer mechanisms such as tumour development and progression and drug resistance. The serine/arginine-rich (SR) proteins and heterogeneous ribonucleoproteins (hnRNPs) have prominent roles in modulating alternative splicing. Evidence shows molecular alteration and expression levels in these splicing factors in cervical cancer. Furthermore, aberrant splicing events in cancer-related genes lead to chemo- and radioresistance. Identifying clinically relevant modifications in alternative splicing events and splicing variants, in cervical cancer, as potential biomarkers for their role in cancer progression and therapy resistance is scrutinised. This review will focus on the molecular mechanisms underlying the aberrant splicing events in cervical cancer that may serve as potential biomarkers for diagnosis, prognosis, and novel drug targets.
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19
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Xu Z, Wei J, Qin F, Sun Y, Xiang W, Yuan L, Qin J, Deng K, Zheng T, Li S. Hypoxia-associated alternative splicing signature in lung adenocarcinoma. Epigenomics 2020; 13:47-63. [PMID: 33336585 DOI: 10.2217/epi-2020-0399] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Aim: To establish a signature based on hypoxia-related alternative splicing (AS) events for lung adenocarcinoma. Materials & methods: The least absolute shrinkage and selection operator Cox approach was used to construct a prognostic model. A nomogram that integrates the final AS predictor and stage was created. The network of the key AS events and splicing factors was created. Results: We created a prognostic signature of 11 AS events. Moreover, a nomogram that constitutes the pathological stage and risk was exhibited to be greatly effective in estimating the survival likelihood of lung adenocarcinoma patients. Conclusion: Herein we developed the first-ever signature based on hypoxia-related AS events with both prognostic predictive power and diagnostic efficacy.
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Affiliation(s)
- Zhanyu Xu
- Department of Thoracic & Cardiovascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Jiangbo Wei
- Department of Thoracic & Cardiovascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Fanglu Qin
- Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Yu Sun
- Department of Thoracic & Cardiovascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Weiwei Xiang
- Department of Thoracic & Cardiovascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Liqiang Yuan
- Department of Thoracic & Cardiovascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Junqi Qin
- Department of Thoracic & Cardiovascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Kun Deng
- Department of Thoracic & Cardiovascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Tiaozhan Zheng
- Department of Thoracic & Cardiovascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China
| | - Shikang Li
- Department of Thoracic & Cardiovascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, PR China
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