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YuYan, Yuan E. Regulatory effect of N6-methyladenosine on tumor angiogenesis. Front Immunol 2024; 15:1453774. [PMID: 39295872 PMCID: PMC11408240 DOI: 10.3389/fimmu.2024.1453774] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2024] [Accepted: 08/19/2024] [Indexed: 09/21/2024] Open
Abstract
Previous studies have demonstrated that genetic alterations governing epigenetic processes frequently drive tumor development and that modifications in RNA may contribute to these alterations. In the 1970s, researchers discovered that N6-methyladenosine (m6A) is the most prevalent form of RNA modification in advanced eukaryotic messenger RNA (mRNA) and noncoding RNA (ncRNA). This modification is involved in nearly all stages of the RNA life cycle. M6A modification is regulated by enzymes known as m6A methyltransferases (writers) and demethylases (erasers). Numerous studies have indicated that m6A modification can impact cancer progression by regulating cancer-related biological functions. Tumor angiogenesis, an important and unregulated process, plays a pivotal role in tumor initiation, growth, and metastasis. The interaction between m6A and ncRNAs is widely recognized as a significant factor in proliferation and angiogenesis. Therefore, this article provides a comprehensive review of the regulatory mechanisms underlying m6A RNA modifications and ncRNAs in tumor angiogenesis, as well as the latest advancements in molecular targeted therapy. The aim of this study is to offer novel insights for clinical tumor therapy.
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Affiliation(s)
- YuYan
- Department of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Enwu Yuan
- Department of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Feng L, Liu X, Sun K, Sun Y, Wu W, Chen C, Jin X, Wan X. Ginsenoside Rb1 Inhibits the Proliferation of Lung Cancer Cells by Inducing the Mitochondrial-mediated Apoptosis Pathway. Anticancer Agents Med Chem 2024; 24:928-941. [PMID: 38465430 DOI: 10.2174/0118715206299212240304142047] [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: 12/18/2023] [Revised: 02/19/2024] [Accepted: 02/20/2024] [Indexed: 03/12/2024]
Abstract
BACKGROUND Lung cancer is one of the more common malignant tumors posing a great threat to human life, and it is very urgent to find safe and effective therapeutic drugs. The antitumor effect of ginsenosides has been reported to be a treatment with a strong effect and a high safety profile. OBJECTIVE This paper aimed to investigate the inhibitory effect of ginsenoside Rb1 on 95D and NCI-H460 lung cancer cells and its pathway to promote apoptosis. METHODS We performed the CCK-8 assay, fluorescence staining assay, flow cytometry, scratch healing assay, and Transwell assay to detect the effects of different concentrations of ginsenoside Rb1 on the antitumor activity of 95D and NCI-H460 cells and Western Blot detected the mechanism of antitumor effect. RESULTS Ginsenoside Rb1 treatment significantly increased the inhibition and apoptosis rates of 95D and NCIH460 cells and inhibited the cell cycle transition from S phase to G2/M. Rb1 induces apoptosis by altering the levels of P53, Bax, Cyto-c, Caspase-8, Caspase-3, Cleaved Caspase-3, Bcl-2, MMP-2, and MMP-9 proteins and activating the external apoptotic pathway. CONCLUSION Ginsenoside Rb1 inhibits proliferation and migration and induces apoptosis of 95D and NCI-H460 lung cancer cells by regulating the mitochondrial apoptotic pathway to achieve antitumor activity.
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Affiliation(s)
- Lin Feng
- College of Pharmacy, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Xinze Liu
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Kaijing Sun
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Ying Sun
- The Second Hospital of Dalian Medical University, Dalian, 116023, China
| | - Wei Wu
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Changbao Chen
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, 130117, China
| | - Xin Jin
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun, 130024, China
| | - Xilin Wan
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun, 130117, China
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Wang W, Ni Y, Cao G, Li X. MicroRNA-330-5p Mediates the TDRG1-Regulated Myocardial Inflammation and Apoptosis after Myocardial Infarction by Inhibiting MAPK1. Int Heart J 2024; 65:693-702. [PMID: 39085109 DOI: 10.1536/ihj.23-416] [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] [Indexed: 08/02/2024]
Abstract
Acute myocardial infarction (AMI) is a cardiovascular illness with the highest disability and mortality rates worldwide. This study aimed to estimate the mechanism of TDRG1 in myocardial damage.qRT-PCR was used to study the levels of TDRG1. After establishing hypoxia/reoxygenation (H/R) model, the inflammation was assessed by qRT-PCR, oxidation was detected by commercial kits, and apoptosis was estimated by qRT-PCR and flow cytometry. The luciferase intensity and RNA immunoprecipitation assay were detected for the identification of target relationship. The functional enrichment was unveiled by GO and Kyoto Encyclopedia of Genes and Genomes (KEGG). The protein interaction was conducted for screening key genes.The expression of TDRG1 was elevated and negatively correlated with miR-330-5p in the serum AMI patients. TDRG1/miR-330-5p axis regulated inflammation, oxidation, and viability and apoptosis of HL-1 cells induced by H/R. GO and KEGG analyses indicate that 76 overlapping targets of miR-330-5p were primarily involved in focal adhesion, calmodulin binding, and ErbB and Rap1 signaling pathways. MAPK1 was the top key gene and was a target gene of miR-330-5p.TDRG1/miR-330-5p axis could participate in the regulation of apoptosis and inflammation of H/R-induced cardiomyocytes.
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Affiliation(s)
- Wenjing Wang
- The Fourth Department of Cardiovascular Medicine, Hebei General Hospital
| | - Yanhui Ni
- The Fourth Department of Cardiovascular Medicine, Hebei General Hospital
| | - Guangyun Cao
- The Fourth Department of Cardiovascular Medicine, Hebei General Hospital
| | - Xinning Li
- The Sixth Department of Cardiovascular Medicine, Hebei General Hospital
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Gong P, Cheng L, Zhang Z, Meng A, Li E, Chen J, Zhang L. Multi-omics integration method based on attention deep learning network for biomedical data classification. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2023; 231:107377. [PMID: 36739624 DOI: 10.1016/j.cmpb.2023.107377] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 01/06/2023] [Accepted: 01/25/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND AND OBJECTIVE Integrating multi-omics data for the comprehensive analysis of the biological processes in human diseases has become one of the most challenging tasks of bioinformatics. Deep learning (DL) algorithms have recently become one of the most promising multi-omics data integration analysis methods. However, existing DL-based studies almost integrate the multi-omics data by concatenation in the input data space or the learned feature space, ignoring the correlations between patients and omics. METHODS We propose a novel multi-omics integration method, called Multi-omics Attention Deep Learning Network (MOADLN), which is used for biomedical data classification. Firstly, for each type of omics data, we use three fully-connected layers and the self-attention mechanism to reduce dimensionality, and construct the correlations between patients, respectively. Then, we apply the feature vector learned from self-attention to generate the initial category labels. Secondly, for the initial label predicted of each omics data, we use an effective Multi-Omics Correlation Discovery Network (MOCDN) to learn the cross-omic correlations in the label space. Finally, we use the softmax classifier for label prediction. RESULTS We demonstrate that our method outperforms several state-of-the-art methods on two datasets with mRNA expression data, DNA methylation data, and miRNA expression data. In addition, we identified essential biomarkers of relevant diseases by MOADLN, and the generality of MOADLN is also demonstrated in the KIRP and KIRC datasets. CONCLUSIONS MOADLN jointly explores correlations between patients in intra-omics and correlations of cross-omics in label space, which is an effective DL-based classification of biomedical data.
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Affiliation(s)
- Ping Gong
- School of Medical Imaging, Xuzhou Medical University, Xuzhou, CN, China.
| | - Lei Cheng
- School of Medical Imaging, Xuzhou Medical University, Xuzhou, CN, China
| | - Zhiyuan Zhang
- School of Medical Imaging, Xuzhou Medical University, Xuzhou, CN, China
| | - Ao Meng
- School of Medical Imaging, Xuzhou Medical University, Xuzhou, CN, China
| | - Enshuo Li
- School of Medical Imaging, Xuzhou Medical University, Xuzhou, CN, China
| | - Jie Chen
- Department of Radiation Oncology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, CN, China
| | - Longzhen Zhang
- Department of Radiation Oncology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, CN, China
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Teng Z, Shi L, Yu H, Wu C, Tian Z. Measuring functional similarity of lncRNAs based on variable K-mer profiles of nucleotide sequences. Methods 2023; 212:21-30. [PMID: 36813016 DOI: 10.1016/j.ymeth.2023.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 02/10/2023] [Accepted: 02/17/2023] [Indexed: 02/22/2023] Open
Abstract
Long non-coding RNAs are a class of essential non-coding RNAs with a length of more than 200 nts. Recent studies have indicated that lncRNAs have various complex regulatory functions, which play great impacts on many fundamental biological processes. However, measuring the functional similarity between lncRNAs by traditional wet-experiments is time-consuming and labor intensive, computational-based approaches have been an effective choice to tackle this problem. Meanwhile, most sequences-based computation methods measure the functional similarity of lncRNAs with their fixed length vector representations, which could not capture the features on larger k-mers. Therefore, it is urgent to improve the predict performance of the potential regulatory functions of lncRNAs. In this study, we propose a novel approach called MFSLNC to comprehensively measure functional similarity of lncRNAs based on variable k-mer profiles of nucleotide sequences. MFSLNC employs the dictionary tree storage, which could comprehensively represent lncRNAs with long k-mers. The functional similarity between lncRNAs is evaluated by the Jaccard similarity. MFSLNC verified the similarity between two lncRNAs with the same mechanism, detecting homologous sequence pairs between human and mouse. Besides, MFSLNC is also applied to lncRNA-disease associations, combined with the association prediction model WKNKN. Moreover, we also proved that our method can more effectively calculate the similarity of lncRNAs by comparing with the classical methods based on the lncRNA-mRNA association data. The detected AUC value of prediction is 0.867, which achieves good performance in the comparison of similar models.
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Affiliation(s)
- Zhixia Teng
- College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China
| | - Linyue Shi
- College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China
| | - Haihao Yu
- College of Computer Science and Technology, Heilongjiang Institute of Technology, Harbin 150040, China
| | - Chengyan Wu
- Baotou Teacher's College, Inner Mongolia University of Science and Technology, Baotou 014030, China
| | - Zhen Tian
- College of Information Engineering, Zhengzhou University, Zhengzhou 450001, China.
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Hu C, Zhang X, Fang K, Guo Z, Li L. LINC00536 Promotes Breast Cancer Progression by Regulating ROCK1 via Sponging of miR-214-5p. Biochem Genet 2022; 61:1163-1184. [PMID: 36513954 DOI: 10.1007/s10528-022-10304-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 11/10/2022] [Indexed: 12/14/2022]
Abstract
Accumulating evidence has shown that long noncoding RNAs (lncRNAs) play a significant role in regulating gene expression and participating in the progression of various malignancies. In our study, by analyzing data from The Cancer Genome Atlas (TCGA), LINC00536 was found to be highly expressed in breast cancer (BC) tissues, but its function and clinical significance in BC are still unknown. Therefore, we aimed to explore the role and molecular mechanism of LINC00536 in BC. We collected human BC tissue specimens and validated that LINC00536 was overexpressed in BC tissues. Increased LINC00536 expression was associated with advanced TNM stage, larger tumor diameter, lymph node metastasis and poor prognosis in patients with BC. Univariate and multivariate Cox regression analyses showed that high LINC00536 expression was an independent prognostic risk factor for overall survival in BC patients. Furthermore, quantitative reverse transcription PCR (qRT-PCR) showed that LINC00536 was upregulated in BC cell lines. Then, we confirmed that LINC00536 silencing-inhibited BC cell proliferation, migration, and invasion and led to cell cycle arrest in vitro. Animal experiments showed that knockdown of LINC00536 expression suppressed tumorigenesis in vivo. Mechanistically, LINC00536 serves as a ceRNA for miR-214-5p, increasing the expression of ROCK1, which acts as a tumor promoter in BC. Rescue assays revealed that miR-214-5p inhibition or ROCK1 overexpression could neutralize the suppressive effects of LINC00536 knockdown on cell proliferation, migration and invasion. Our data indicated that LINC00536 accelerates BC progression by regulating the miR-214-5p/ROCK1 pathway, which might provide a new perspective to investigate the development process of BC.
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Affiliation(s)
- Caixia Hu
- Oncology Institute, The Affiliated Hospital of Jiangnan University, 200# Huihe Road, Wuxi, 214062, Jiangsu, China
| | - Xiufen Zhang
- Oncology Institute, The Affiliated Hospital of Jiangnan University, 200# Huihe Road, Wuxi, 214062, Jiangsu, China
| | - Kai Fang
- Oncology Institute, The Affiliated Hospital of Jiangnan University, 200# Huihe Road, Wuxi, 214062, Jiangsu, China
| | - Zijian Guo
- Department of Oncological Surgery, The Affiliated Hospital of Jiangnan University, Wuxi, 214062, China.
| | - Lihua Li
- Oncology Institute, The Affiliated Hospital of Jiangnan University, 200# Huihe Road, Wuxi, 214062, Jiangsu, China.
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A Novel Identified Long Intergenic Noncoding RNA, LINC01574, Contributes to Breast Cancer Deterioration via the Regulation of miR-6745/TTYH3 Axis. J Immunol Res 2022; 2022:4201283. [PMID: 35935583 PMCID: PMC9348968 DOI: 10.1155/2022/4201283] [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: 05/07/2022] [Revised: 06/20/2022] [Accepted: 07/01/2022] [Indexed: 11/18/2022] Open
Abstract
Objective Compelling evidence suggested that lncRNAs performed vital functions in the development of breast cancer (BC). The study intended to mine the functional roles of LINC01574 in BC and further excavated its underlying regulatory mechanism. Methods The expression and prognosis of LINC01574 in BC were detected by integrating analysis of data mining, bioinformatics, and RT-qPCR. Then, the effect of LINC01574 knockdown on BC cell growth and metastasis was evaluated in vitro and in vivo. Interactions between miR-6745 and LINC01574 or TTYH3 were revealed by both target prediction and dual luciferase reporter assay. Results Our data found that LINC01574 was markedly elevated in BC tissues and cells and was an independent prognostic risk factor for patients with BC. Further functional studies revealed that knockdown of LINC01574 remarkably inhibited the growth and metastasis of BC cells in vitro and in vivo. Mechanistically, LINC01574 competitively binds with miR-6745 to prevent the degradation of TTYH3, thereby promoting the development of BC. Conclusion Our results unmasked a novel LINC01574/miR-6745/TTYH3 regulatory axis in BC progression and suggested that LINC01574 might be a promising prognostic indicator and therapeutic target for patients with BC.
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Song Y, Qu H. Identification and validation of a seven m6A-related lncRNAs signature predicting prognosis of ovarian cancer. BMC Cancer 2022; 22:633. [PMID: 35676619 PMCID: PMC9178823 DOI: 10.1186/s12885-022-09591-4] [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: 07/08/2021] [Accepted: 04/21/2022] [Indexed: 11/26/2022] Open
Abstract
Background Long non-coding RNAs (lncRNAs) play an important role in angiogenesis, immune response, inflammatory response and tumor development and metastasis. m6 A (N6—methyladenosine) is one of the most common RNA modifications in eukaryotes. The aim of our research was to investigate the potential prognostic value of m6A-related lncRNAs in ovarian cancer (OC). Methods The data we need for our research was downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Pearson correlation analysis between 21 m6A regulators and lncRNAs was performed to identify m6A-related lncRNAs. Univariate Cox regression analysis was implemented to screen for lncRNAs with prognostic value. A least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression analyses was used to further reduct the lncRNAs with prognostic value and construct a m6A-related lncRNAs signature for predicting the prognosis of OC patients. Results Two hundred seventy-five m6A-related lncRNAs were obtained using pearson correlation analysis. 29 m6A-related lncRNAs with prognostic value was selected through univariate Cox regression analysis. Then, a seven m6A-related lncRNAs signature was identified by LASSO Cox regression. Each patient obtained a riskscore through multivariate Cox regression analyses and the patients were classified into high-and low-risk group using the median riskscore as a cutoff. Kaplan–Meier curve revealed that the patients in high-risk group have poor outcome. The receiver operating characteristic curve revealed that the predictive potential of the m6A-related lncRNAs signature for OC was powerful. The predictive potential of the m6A-related lncRNAs signature was successfully validated in the GSE9891, GSE26193 datasets and our clinical specimens. Multivariate analyses suggested that the m6A-related lncRNAs signature was an independent prognostic factor for OC patients. Moreover, a nomogram based on the expression level of the seven m6A-related lncRNAs was established to predict survival rate of patients with OC. Finally, a competing endogenous RNA (ceRNA) network associated with the seven m6A-related lncRNAs was constructed to understand the possible mechanisms of the m6A-related lncRNAs involed in the progression of OC. Conclusions In conclusion, our research revealed that the m6A-related lncRNAs may affect the prognosis of OC patients and identified a seven m6A-related lncRNAs signature to predict the prognosis of OC patients.
Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09591-4.
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Affiliation(s)
- Yang Song
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, P.R. China
| | - Hui Qu
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, No. 36 Sanhao Street, Heping District, Shenyang, Liaoning Province, 110004, P.R. China.
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Zhang R, Hao Y, Zhang J. The lncRNA DANCR promotes development of atherosclerosis by regulating the miR-214-5p/COX20 signaling pathway. Cell Mol Biol Lett 2022; 27:15. [PMID: 35177003 PMCID: PMC8903577 DOI: 10.1186/s11658-022-00310-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 01/07/2022] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Although long non-coding RNA differentiation antagonizing non-protein coding RNA (DANCR) has been reported to be involved in atherosclerosis (AS) development, its specific mechanism remains unclear. METHODS DANCR expression levels in blood samples of AS patients and oxidized low-density lipoprotein (ox-LDL) treated vascular smooth muscle cells (VSMCs) and human umbilical vein endothelial cells (HUVECs) were detected by quantitative real-time polymerase chain reaction (qRT-PCR). The small interfering RNA targeting DANCR (si-DANCR) was used to silence DANCR expression. Cell viability was assessed by CCK-8 assay. Cell apoptosis was evaluated by flow cytometry. Levels of inflammatory cytokines, anti-oxidative enzyme superoxide dismutase (SOD) activity, and malonaldehyde (MDA) were detected by specific commercial kits. An animal AS model was established to confirm the role of DANCR/microR-214-5p/COX20 (the chaperone of cytochrome c oxidase subunit II COX2) in AS development. RESULTS DANCR was significantly increased in the blood samples of AS patients and ox-LDL treated VSMCs and HUVECs. DANCR downregulation obviously increased viability and reduced apoptosis of ox-LDL-treated VSMCs and HUVECs. Meanwhile, DANCR downregulation reduced the levels of inflammatory cytokines, including interleukin (IL)-6 (IL-6), IL-1beta (IL-1β), IL-6 and tumor necrosis factor (TNF)-alpha (TNF-α) and MDA while increasing the SOD level in ox-LDL-treated VSMCs and HUVECs. DANCR regulated COX20 expression by acting as a competing endogenous RNA (ceRNA) of miR-214-5p. Rescue experiments demonstrated that miR-214-5p downregulation obviously attenuated si-DANCR-induced protective effects on ox-LDL-caused endothelial injury. CONCLUSIONS Our results revealed that DANCR promoted AS progression by targeting the miR-214-5p/COX20 axis, suggesting that DANCR might be a potential therapeutic target for AS.
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Affiliation(s)
- Ruolan Zhang
- Department of Cardiology, Harrison International Peace Hospital, No. 180 Renmin Road, Hengshui City, 053000, Hebei Province, People's Republic of China.
| | - Yuming Hao
- Department of Cardiology, Second Affiliated Hospital of Hebei Medical University, Shijiazhuang City, 05000, Hebei Province, People's Republic of China
| | - Jinrong Zhang
- Department of Cardiology, Harrison International Peace Hospital, No. 180 Renmin Road, Hengshui City, 053000, Hebei Province, People's Republic of China
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Paskeh MDA, Mirzaei S, Gholami MH, Zarrabi A, Zabolian A, Hashemi M, Hushmandi K, Ashrafizadeh M, Aref AR, Samarghandian S. Cervical cancer progression is regulated by SOX transcription factors: Revealing signaling networks and therapeutic strategies. Biomed Pharmacother 2021; 144:112335. [PMID: 34700233 DOI: 10.1016/j.biopha.2021.112335] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 10/05/2021] [Accepted: 10/10/2021] [Indexed: 12/24/2022] Open
Abstract
Cervical cancer is the fourth common gynecologic cancer and is considered as second leading cause of death among women. Various strategies are applied in treatment of cervical cancer including radiotherapy, chemotherapy and surgery. However, cervical cancer cells demonstrate aggressive behavior in advanced phases, requiring novel strategies in their elimination. On the other hand, SOX proteins are transcription factors capable of regulating different molecular pathways and their expression varies during embryogenesis, disease development and carcinogenesis. In the present review, our aim is to reveal role of SOX transcription factors in cervical cancer. SOX transcription factors play like a double-edged sword in cancer. For instance, SOX9 possesses both tumor-suppressor and tumor-promoting role in cervical cancer. Therefore, exact role of each SOX members in cervical cancer has been discussed to direct further experiments for revealing other functions. SOX proteins can regulate proliferation and metastasis of cervical cancer cells. Furthermore, response of cervical cancer cells to chemotherapy and radiotherapy is tightly regulated by SOX transcription factors. Different downstream targets of SOX proteins such as Wnt signaling, EMT and Hedgehog have been identified. Besides, upstream mediators such as microRNAs, lncRNAs and circRNAs can regulate SOX expression in cervical cancer. In addition to pre-clinical studies, role of SOX transcription factors as prognostic and diagnostic tools in cervical cancer has been shown.
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Affiliation(s)
- Mahshid Deldar Abad Paskeh
- Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Sepideh Mirzaei
- Department of Biology, Faculty of Science, Islamic Azad University, Science and Research Branch, Tehran, Iran
| | - Mohammad Hossein Gholami
- DVM. Graduated, Faculty of Veterinary Medicine, Kazerun Branch, Islamic Azad University, Kazerun, Iran
| | - Ali Zarrabi
- Sabanci University Nanotechnology Research and Application Center (SUNUM), Tuzla, 34956 Istanbul, Turkey; Department of Biomedical Engineering, Faculty of Engineering and Natural Sciences, Istinye University, Sariyer, Istanbul 34396, Turkey
| | - Amirhossein Zabolian
- Young Researchers and Elite Club, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Mehrdad Hashemi
- Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran; Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Kiavash Hushmandi
- Department of Food Hygiene and Quality Control, Division of epidemiology & Zoonoses, Faculty of Veterinary Medicine, University of Tehran, Tehran, Iran
| | - Milad Ashrafizadeh
- Sabanci University Nanotechnology Research and Application Center (SUNUM), Tuzla, 34956 Istanbul, Turkey; Faculty of Engineering and Natural Sciences, Sabanci University, Orta Mahalle, Üniversite Caddesi No. 27, Orhanlı, Tuzla, 34956 Istanbul, Turkey
| | - Amir Reza Aref
- Belfer Center for Applied Cancer Science, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Vice President at Translational Sciences, Xsphera Biosciences Inc. 6 Tide Street, Boston, MA 02210, USA
| | - Saeed Samarghandian
- Noncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.
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