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Huang J, Zhao Y. Effect of GLIS1 on the Lymph Node Metastasis of Cervical Squamous Carcinoma Based on Transcriptome Analysis. Reprod Sci 2024; 31:1332-1344. [PMID: 38157104 DOI: 10.1007/s43032-023-01432-4] [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: 09/11/2023] [Accepted: 12/12/2023] [Indexed: 01/03/2024]
Abstract
Cervical cancer remains the leading cause of cancer-related mortality among female reproductive malignancies, and lymph node metastasis (LNM) represents the major reason for its poor prognosis. In this study, we aimed to identify transcriptome differences in patients with cervical squamous cell carcinoma (CSCC) who developed LNM or not and to outline the function of GLIS1 in determining metastatic fate in CSCC. In The Cancer Genome Atlas-endocervical adenocarcinoma project, patients with LNM had shorter overall survival than those without. Transcriptome data from CSCC patients with and without LNM were analyzed to screen for differentially expressed genes (DEGs). DEGs were enriched in metastasis-related pathways, such as extracellular matrix organization, cell-cell adhesion, and regulation of tissue remodeling. GLIS1 was overexpressed in tumor tissues of patients with LNM. COMP and ITGA11 were screened as downstream targets of GLIS1. GLIS1 promoted their transcription by binding to the promoter regions of COMP and ITGA11. GLIS1 enhanced the migration, invasion, and epithelial-mesenchymal transition in CSCC cells, while the knockdown of COMP or ITGA11 reversed the promotion of GLIS1 on CSCC cell malignant phenotype. Together, our results demonstrate that GLIS1 might be related to the LNM of CSCC patients via COMP and ITGA11.
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Affiliation(s)
- Jiazhen Huang
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Dalian Medical University, No. 467, Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, People's Republic of China
| | - Ying Zhao
- Department of Obstetrics and Gynecology, the Second Affiliated Hospital of Dalian Medical University, No. 467, Zhongshan Road, Shahekou District, Dalian, 116023, Liaoning, People's Republic of China.
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Ding Y, Wu X, Yang X. Identification of miRNAs and target genes associated with lymph node metastasis in cervical cancer using bioinformatics analysis. Toxicol Mech Methods 2023; 33:625-635. [PMID: 37125668 DOI: 10.1080/15376516.2023.2207644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 04/19/2023] [Accepted: 04/23/2023] [Indexed: 05/02/2023]
Abstract
This study was designed to identify the differentially expressed miRNAs (DEMs) and genes (DEGs) in metastatic cervical cancer using bioinformatic tools. In this study, fifty-seven DEMs (48 downregulated and 9 upregulated) were identified, among which miR-4459 and miR-3195 expression was negatively associated with overall survival of cervical cancer patients. Then, 476 target DEGs were determined, and protein-protein interaction (PPI) network was constructed. Seventeen hub genes (LONRF2, CCNE2, AURKA, SYT1, NEGR1, PPP1R12B, GABRP, RAD51, CDK1, FBLN5, PRKG1, CDC6, CACNA1C, MEOX2, ANLN, MYLK, and EDNRB) were finally selected to construct the miRNA-hub gene network. Overall, our study discovered the key miRNAs and mRNAs related to lymph node metastasis (LNM) in cervical cancer, which helps discover candidate therapeutic targets for cervical cancer.
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Affiliation(s)
- Yishan Ding
- Department of Gynecology, Ankang City Central Hospital, Ankang, PR China
| | - Xiaorong Wu
- Ankang City Central Hospital, Ankang, PR China
| | - Xiaofeng Yang
- Department of Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
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Kniazeva M, Zabegina L, Shalaev A, Smirnova O, Lavrinovich O, Berlev I, Malek A. NOVAprep-miR-Cervix: New Method for Evaluation of Cervical Dysplasia Severity Based on Analysis of Six miRNAs. Int J Mol Sci 2023; 24:ijms24119114. [PMID: 37298066 DOI: 10.3390/ijms24119114] [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: 03/30/2023] [Revised: 05/12/2023] [Accepted: 05/19/2023] [Indexed: 06/12/2023] Open
Abstract
Cervical cancer is one of the most common gynecological malignancies and it is preventable through the yearly diagnosis and management of pre-cancerous cervical disease. The profile of miRNA expression in cervical epithelium cells is altered with cervical dysplasia development and further progression. The NOVAprep-miR-CERVIX is a new approach for the assessment of cervical dysplasia through the analysis of six marker miRNAs. This study aims to evaluate theperformance and diagnostic potency of the new method. Cytological smears from 226 women (NILM, n.114; HSIL, n.112) were included in the study. A VPH test was performed with RealBest DNAHPV HR screen Kit, six marker miRNAs (miR-21, -29b, -145, -451a, -1246, -1290) were assayed using NOVAprep-miR-CERVIX kit. Obtained data were analyzed using the Delta Ct method and random forest machine learning algorithm. The results of the quantitative analysis of six microRNAs were expressed as a miR-CERVIX parameter, which ranged from 0 to 1, where "0" corresponded to the healthy cervical epithelium, while "1" corresponded to high-grade squamous intraepithelial dysplasia. The average value of miR-CERVIX differed in groups of NILM and HSIL samples (0.34 vs. 0.72; p < 0.000005). An estimation of miR-CERVIX allowed for the differentiation between healthy and pre-cancerous samples with sensitivity of 0.79 and specificity of 0.79, as well as to confirm HSIL with specificity of 0.98. Interestingly, the HSIL group included HPV(+) and HPV(-) samples, which were statistically significantly different in terms of miR-CERVIX value. Analysis of CC-associated miRNAs in material of cervical smear might serve as an additional method for the evaluation of cervical dysplasia severity.
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Affiliation(s)
- Margarita Kniazeva
- Subcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia
| | - Lidia Zabegina
- Subcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia
| | - Andrey Shalaev
- Subcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia
| | - Olga Smirnova
- Department of Gynecological Oncology, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia
| | - Olga Lavrinovich
- Department of Gynecological Oncology, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia
| | - Igor Berlev
- Department of Gynecological Oncology, N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia
| | - Anastasia Malek
- Subcellular Technology Lab., N.N. Petrov National Medical Research Center of Oncology, 197758 St. Petersburg, Russia
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Dabi Y, Favier A, Razakamanantsoa L, Suisse S, Marie Y, Touboul C, Ferrier C, Bendifallah S, Daraï E. Value of non-coding RNAs to assess lymph node status in cervical cancer. Front Oncol 2023; 13:1144672. [PMID: 37234986 PMCID: PMC10206114 DOI: 10.3389/fonc.2023.1144672] [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: 01/14/2023] [Accepted: 04/18/2023] [Indexed: 05/28/2023] Open
Abstract
Cervical cancer (CC) is the fourth cancer in women and is the leading cause of cancer death in 42 countries. Lymph node metastasis is a determinant prognostic factor, as underlined in the latest FIGO classification. However, assessment of lymph node status remains difficult, despite the progress of imaging such as PET-CT and MRI. In the specific setting of CC, all data underlined the need for new biomarkers easily available to assess lymph node status. Previous studies have underlined the potential value of ncRNA expression in gynecological cancers. In this review, we aimed to evaluate the contribution of ncRNAs in tissue and biofluid samples to determine lymph node status in CC with potential impact on both surgical and adjuvant therapies. In tissue samples, our analysis found that there are arguments to support the role of ncRNAs in physiopathology, differential diagnosis from normal tissue, preinvasive and invasive tumors. In biofluids, despite small studies especially concerning miRNAs expression, promising data opens up new avenue to establish a non-invasive signature for lymph node status as well as a tool to predict response to neo- and adjuvant therapies, thus improving management algorithm of patients with CC.
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Affiliation(s)
- Yohann Dabi
- Sorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Paris, France
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), Paris, France
| | - Amelia Favier
- Sorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Paris, France
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), Paris, France
| | - Léo Razakamanantsoa
- Sorbonne University, Inserm UMR S 938, Centre de recherche de saint Antoine (CRSA), Hôpital Saint Antoine, Paris, France
- Department of Radiology imaging and Interventional speciality imaging, Tenon Hospital, Paris, France
| | | | - Yannick Marie
- Gentoyping and Sequencing core facility, iGenSeq, Institut du Cerveau et de la Moelle épinière, Institut du Cerveau et de la Moelle (ICM), Hôpital Pitié-Salpêtrière, Paris, France
| | - Cyril Touboul
- Sorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Paris, France
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), Paris, France
| | - Clément Ferrier
- Sorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Paris, France
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), Paris, France
| | - Sofiane Bendifallah
- Sorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Paris, France
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), Paris, France
| | - Emile Daraï
- Sorbonne University, Department of Obstetrics and Reproductive Medicine, Hôpital Tenon, Paris, France
- Clinical Research Group (GRC) Paris 6: Centre Expert Endométriose (C3E), Sorbonne University (GRC6 C3E SU), Paris, France
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