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Salamini-Montemurri M, Lamas-Maceiras M, Lorenzo-Catoira L, Vizoso-Vázquez Á, Barreiro-Alonso A, Rodríguez-Belmonte E, Quindós-Varela M, Cerdán ME. Identification of lncRNAs Deregulated in Epithelial Ovarian Cancer Based on a Gene Expression Profiling Meta-Analysis. Int J Mol Sci 2023; 24:10798. [PMID: 37445988 PMCID: PMC10341812 DOI: 10.3390/ijms241310798] [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: 05/15/2023] [Revised: 06/19/2023] [Accepted: 06/25/2023] [Indexed: 07/15/2023] Open
Abstract
Epithelial ovarian cancer (EOC) is one of the deadliest gynecological cancers worldwide, mainly because of its initially asymptomatic nature and consequently late diagnosis. Long non-coding RNAs (lncRNA) are non-coding transcripts of more than 200 nucleotides, whose deregulation is involved in pathologies such as EOC, and are therefore envisaged as future biomarkers. We present a meta-analysis of available gene expression profiling (microarray and RNA sequencing) studies from EOC patients to identify lncRNA genes with diagnostic and prognostic value. In this meta-analysis, we include 46 independent cohorts, along with available expression profiling data from EOC cell lines. Differential expression analyses were conducted to identify those lncRNAs that are deregulated in (i) EOC versus healthy ovary tissue, (ii) unfavorable versus more favorable prognosis, (iii) metastatic versus primary tumors, (iv) chemoresistant versus chemosensitive EOC, and (v) correlation to specific histological subtypes of EOC. From the results of this meta-analysis, we established a panel of lncRNAs that are highly correlated with EOC. The panel includes several lncRNAs that are already known and even functionally characterized in EOC, but also lncRNAs that have not been previously correlated with this cancer, and which are discussed in relation to their putative role in EOC and their potential use as clinically relevant tools.
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Affiliation(s)
- Martín Salamini-Montemurri
- Centro Interdisciplinar de Química e Bioloxía (CICA), As Carballeiras, s/n, Campus de Elviña, Universidade da Coruña, 15071 A Coruña, Spain
- Facultade de Ciencias, A Fraga, s/n, Campus de A Zapateira, Universidade da Coruña, 15071 A Coruña, Spain
- Instituto de Investigación Biomédica de A Coruña (INIBIC), As Xubias de Arriba 84, 15006 A Coruña, Spain
| | - Mónica Lamas-Maceiras
- Centro Interdisciplinar de Química e Bioloxía (CICA), As Carballeiras, s/n, Campus de Elviña, Universidade da Coruña, 15071 A Coruña, Spain
- Facultade de Ciencias, A Fraga, s/n, Campus de A Zapateira, Universidade da Coruña, 15071 A Coruña, Spain
- Instituto de Investigación Biomédica de A Coruña (INIBIC), As Xubias de Arriba 84, 15006 A Coruña, Spain
| | - Lidia Lorenzo-Catoira
- Centro Interdisciplinar de Química e Bioloxía (CICA), As Carballeiras, s/n, Campus de Elviña, Universidade da Coruña, 15071 A Coruña, Spain
- Facultade de Ciencias, A Fraga, s/n, Campus de A Zapateira, Universidade da Coruña, 15071 A Coruña, Spain
- Instituto de Investigación Biomédica de A Coruña (INIBIC), As Xubias de Arriba 84, 15006 A Coruña, Spain
| | - Ángel Vizoso-Vázquez
- Centro Interdisciplinar de Química e Bioloxía (CICA), As Carballeiras, s/n, Campus de Elviña, Universidade da Coruña, 15071 A Coruña, Spain
- Facultade de Ciencias, A Fraga, s/n, Campus de A Zapateira, Universidade da Coruña, 15071 A Coruña, Spain
- Instituto de Investigación Biomédica de A Coruña (INIBIC), As Xubias de Arriba 84, 15006 A Coruña, Spain
| | - Aida Barreiro-Alonso
- Centro Interdisciplinar de Química e Bioloxía (CICA), As Carballeiras, s/n, Campus de Elviña, Universidade da Coruña, 15071 A Coruña, Spain
- Facultade de Ciencias, A Fraga, s/n, Campus de A Zapateira, Universidade da Coruña, 15071 A Coruña, Spain
- Instituto de Investigación Biomédica de A Coruña (INIBIC), As Xubias de Arriba 84, 15006 A Coruña, Spain
| | - Esther Rodríguez-Belmonte
- Centro Interdisciplinar de Química e Bioloxía (CICA), As Carballeiras, s/n, Campus de Elviña, Universidade da Coruña, 15071 A Coruña, Spain
- Facultade de Ciencias, A Fraga, s/n, Campus de A Zapateira, Universidade da Coruña, 15071 A Coruña, Spain
- Instituto de Investigación Biomédica de A Coruña (INIBIC), As Xubias de Arriba 84, 15006 A Coruña, Spain
| | - María Quindós-Varela
- Instituto de Investigación Biomédica de A Coruña (INIBIC), As Xubias de Arriba 84, 15006 A Coruña, Spain
- Complexo Hospitalario Universitario de A Coruña (CHUAC), Servizo Galego de Saúde (SERGAS), 15006 A Coruña, Spain
| | - M Esperanza Cerdán
- Centro Interdisciplinar de Química e Bioloxía (CICA), As Carballeiras, s/n, Campus de Elviña, Universidade da Coruña, 15071 A Coruña, Spain
- Facultade de Ciencias, A Fraga, s/n, Campus de A Zapateira, Universidade da Coruña, 15071 A Coruña, Spain
- Instituto de Investigación Biomédica de A Coruña (INIBIC), As Xubias de Arriba 84, 15006 A Coruña, Spain
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Li H, Zheng X, Gao J, Leung KS, Wong MH, Yang S, Liu Y, Dong M, Bai H, Ye X, Cheng L. Whole transcriptome analysis reveals non-coding RNA's competing endogenous gene pairs as novel form of motifs in serous ovarian cancer. Comput Biol Med 2022; 148:105881. [DOI: 10.1016/j.compbiomed.2022.105881] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 06/30/2022] [Accepted: 07/16/2022] [Indexed: 11/03/2022]
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Yang C, Wang C, Rong Z, Xu Z, Deng K, Zhao W, Cao L, Lu Y, Adnan H, Li K, Hou Y. Mediation Analysis Reveals Potential Biological Mechanism of Ascites Influencing Recurrence in Patients with Epithelial Ovarian Cancer. Cancer Manag Res 2020; 12:793-799. [PMID: 32099475 PMCID: PMC7007789 DOI: 10.2147/cmar.s232357] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Accepted: 12/28/2019] [Indexed: 12/21/2022] Open
Abstract
Objective Ascites, an accumulation of peritoneal fluid, is associated with poor prognosis of certain cancers. The potential mechanism that ascites worsens prognosis has not been well understood. Lipids have been reported to correlate with the prognosis of patients with epithelial ovarian cancer (EOC). Therefore, we aimed here to investigate whether lipids mediate the effect of ascites on the recurrence of EOC. Methods We collected the demographic and pathological data of 437 previously untreated patients with EOC to investigate the influence of ascites on recurrence. To identify the mechanism that mediates the potential influence of ascites on recurrence, we used ultra-performance liquid chromatography coupled with mass spectrometry (UPLC-MS) to determine the plasma lipid profiles of 53 patients with EOC. We used mediation analysis to evaluate if lipids mediated the effects of ascites on the recurrence of EOC. Results Patients with ascites had a poorer prognosis, which was associated with higher levels of carbohydrate antigen-CA125 (CA125) and FIGO stage. We identified six different lipid metabolites that were associated with ascites and recurrence. Mediation analysis revealed that the lipids LysoPC(P-15:0), PC(P-34:4), and PC(38:6) may mediate the effects of ascites on recurrence. Conclusion Our findings suggest that LysoPC(P-15:0), PC(P-34:4), and PC(38:6) mediate the effect of ascites on the prognosis of patients with EOC. We believe therefore that it is reasonable to consider metabolic interventions targeting the metabolism of LysoPC(P-15:0), PC(P-34:4), and PC(38:6) as a palliative treatment for patients with EOC with ascites. Further studies of more patients will be required to validate our findings.
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Affiliation(s)
- Chunyan Yang
- Department of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, People's Republic of China
| | - Ce Wang
- Department of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, People's Republic of China
| | - Zhiwei Rong
- Department of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, People's Republic of China
| | - Zhenyi Xu
- Department of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, People's Republic of China
| | - Kui Deng
- Department of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, People's Republic of China
| | - Weiwei Zhao
- Department of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, People's Republic of China
| | - Lei Cao
- Department of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, People's Republic of China
| | - Yaxin Lu
- Department of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, People's Republic of China
| | - Humara Adnan
- Department of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, People's Republic of China
| | - Kang Li
- Department of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, People's Republic of China
| | - Yan Hou
- Department of Epidemiology and Biostatistics, Public Health School, Harbin Medical University, Harbin, People's Republic of China
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