1
|
Solati A, Thvimi S, Khatami SH, Shabaninejad Z, Malekzadegan Y, Alizadeh M, Mousavi P, Taheri-Anganeh M, Razmjoue D, Bahmyari S, Ghasemnejad-Berenji H, Vafadar A, Soltani Fard E, Ghasemi H, Movahedpour A. Non-coding RNAs in gynecologic cancer. Clin Chim Acta 2023; 551:117618. [PMID: 38375624 DOI: 10.1016/j.cca.2023.117618] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 02/21/2024]
Abstract
The term "gynecologic cancer" pertains to neoplasms impacting the reproductive tissues and organs of women encompassing the endometrium, vagina, cervix, uterus, vulva, and ovaries. The progression of gynecologic cancer is linked to various molecular mechanisms. Historically, cancer research primarily focused on protein-coding genes. However, recent years have unveiled the involvement of non-coding RNAs (ncRNAs), including microRNAs, long non-coding RNAs (LncRNAs), and circular RNAs, in modulating cellular functions within gynecological cancer. Substantial evidence suggests that ncRNAs may wield a dual role in gynecological cancer, acting as either oncogenic or tumor-suppressive agents. Numerous clinical trials are presently investigating the roles of ncRNAs as biomarkers and therapeutic agents. These endeavors may introduce a fresh perspective on the diagnosis and treatment of gynecological cancer. In this overview, we highlight some of the ncRNAs associated with gynecological cancers.
Collapse
Affiliation(s)
- Arezoo Solati
- Department of Reproductive Biology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Sina Thvimi
- Department of Biology, Faculty of Science, Shahid Chamran University of Ahvaz, Ahvaz, Iran
| | - Seyyed Hossein Khatami
- Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Zahra Shabaninejad
- Department of Nanobiotechnology, Faculty of Biological Sciences, Tarbiat Modares University, Tehran, Iran
| | | | - Mehdi Alizadeh
- Molecular Medicine Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Pegah Mousavi
- Molecular Medicine Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Mortaza Taheri-Anganeh
- Cellular and Molecular Research Center, Cellular and Molecular Medicine Research Institute, Urmia University of Medical Sciences, Urmia, Iran
| | - Damoun Razmjoue
- Medicinal Plants Research Center, Yasuj University of Medical Sciences, Yasuj, Iran; Department of Pharmacognosy, Faculty of Pharmacy, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Sedigheh Bahmyari
- Department of Reproductive Biology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Hojat Ghasemnejad-Berenji
- Reproductive Health Research Center, Clinical Research Institute, Urmia University of Medical Sciences, Urmia, Iran
| | - Asma Vafadar
- Department of Medical Biotechnology, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Elahe Soltani Fard
- Department of Molecular Medicine, School of Advanced Technologies, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | | | | |
Collapse
|
2
|
Gong T, Yang L, Shen F, Chen H, Pan Z, Zhang Q, Jiang Y, Zhong F, Yang P, Zhang Y. Computational and Mass Spectrometry-Based Approach Identify Deleterious Non-Synonymous Single Nucleotide Polymorphisms (nsSNPs) in JMJD6. Molecules 2021; 26:molecules26154653. [PMID: 34361805 PMCID: PMC8347302 DOI: 10.3390/molecules26154653] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 07/26/2021] [Accepted: 07/27/2021] [Indexed: 12/30/2022] Open
Abstract
The jumonji domain-containing protein 6 (JMJD6) gene catalyzes the arginine demethylation and lysine hydroxylation of histone and a growing list of its known substrate molecules, including p53 and U2AF65, suggesting a possible role in mRNA splicing and transcription in cancer progression. Mass spectrometry-based technology offers the opportunity to detect SNP variants accurately and effectively. In our study, we conducted a combined computational and filtration workflow to predict the nonsynonymous single nucleotide polymorphisms (nsSNPs) present in JMJD6, followed by a liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis and validation. The computational approaches SIFT, PolyPhen-2, SNAP, I-Mutant 2.0, PhD-SNP, PANTHER, and SNPS&GO were integrated to screen out the predicted damaging/deleterious nsSNPs. Through the three-dimensional structure of JMJD6, H187R (rs1159480887) was selected as a candidate for validation. The validation experiments showed that the mutation of this nsSNP in JMJD6 obviously affected mRNA splicing or the transcription of downstream genes through the reduced lysyl-hydroxylase activity of its substrates, U2AF65 and p53, further indicating the accuracy of this prediction method. This research provides an effective computational workflow for researchers with an opportunity to select prominent deleterious nsSNPs and, thus, remains promising for examining the dysfunction of proteins.
Collapse
Affiliation(s)
- Tianqi Gong
- Department of Systems Biology for Medicine, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China; (T.G.); (L.Y.); (F.S.); (Z.P.); (Y.J.)
| | - Lujie Yang
- Department of Systems Biology for Medicine, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China; (T.G.); (L.Y.); (F.S.); (Z.P.); (Y.J.)
| | - Fenglin Shen
- Department of Systems Biology for Medicine, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China; (T.G.); (L.Y.); (F.S.); (Z.P.); (Y.J.)
| | - Hao Chen
- College of Bioscience and Biotechnology, Yangzhou University, Yangzhou 225009, China;
| | - Ziyue Pan
- Department of Systems Biology for Medicine, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China; (T.G.); (L.Y.); (F.S.); (Z.P.); (Y.J.)
| | - Quanqing Zhang
- Department of Chemistry, University of California, Riverside, CA 92521, USA;
| | - Yan Jiang
- Department of Systems Biology for Medicine, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China; (T.G.); (L.Y.); (F.S.); (Z.P.); (Y.J.)
| | - Fan Zhong
- Department of Systems Biology for Medicine, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China; (T.G.); (L.Y.); (F.S.); (Z.P.); (Y.J.)
- Correspondence: (F.Z.); (P.Y.); (Y.Z.)
| | - Pengyuan Yang
- Department of Systems Biology for Medicine, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China; (T.G.); (L.Y.); (F.S.); (Z.P.); (Y.J.)
- Correspondence: (F.Z.); (P.Y.); (Y.Z.)
| | - Yang Zhang
- Department of Systems Biology for Medicine, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai 200032, China; (T.G.); (L.Y.); (F.S.); (Z.P.); (Y.J.)
- Correspondence: (F.Z.); (P.Y.); (Y.Z.)
| |
Collapse
|
3
|
A network-based approach to identify key genes between follicular thyroid cancer and follicular thyroid adenoma. GENE REPORTS 2021. [DOI: 10.1016/j.genrep.2021.101075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
|