Document Type : Systematic Review and Meta-analysis
Authors
1
Postgraduate Program in Adult Health, Federal University of Maranhão, São Luís, Maranhão, Brazil.
2
Department of Physiological Sciences, Center for Biological and Health Sciences, Postgraduate Program in Adult Health, Federal University of Maranhão, São Luís, Maranhão, Brazil.
3
Laboratory of Immunofluorescence and Electron Microscopy, University Hospital of the Federal University of Maranhão, São Luís, Maranhão, Brazil.
4
Molecular Pathology Study Group, University Hospital of the Federal University of Maranhão, São Luís, Maranhão, Brazil.
5
Oncology Research Center, Federal University of Pará, Belém, Pará, Brazil.
6
Department of Medicine, Federal University of Maranhão, São Luís, Maranhão, Brazil.
7
State University of Maranhão (UEMA), Zé Doca, Maranhão, Brazil.
8
Postgraduate Program in Family Health, State University of Maranhão, Caxias, Maranhão, Brazil.
Abstract
Objective: This study aims to summarize the main findings in the literature regarding the family of long non-coding RNAs (LncRNAs), specifically SNHGs, in cervical cancer. Methods: The study was conducted following the PRISMA protocol, using the PICOS framework for the search strategy. The research sources included PubMed, ScienceDirect, Lilacs, and Medline. Inclusion and exclusion criteria were applied, and data from each article were extracted, including: clinicopathological characteristics, biological function of SNHGs, clinical indicators, and diagnostic and prognostic markers. Results: Out of a total of 3.803 studies, 12 were selected, encompassing 8 SNHGs (GAS5, SNHG5, SNHG7, SNHG12, SNHG14, SNHG16, SNHG17, and SNHG20) associated with cervical cancer. All, except for GAS5, showed increased expression. In the literature review, SNHG expression was linked to adverse prognostic factors in cervical cancer, such as proliferation, migration, invasion, lymph node metastasis, and apoptosis. Conclusion: Although further studies are needed, these data highlight the significant role of SNHGs in tumor biology and the promising potential of this class of transcripts as tools in the clinical management of cervical cancer.
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