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Ferroptosis-Related Long Noncoding RNAs as Prognostic Biomarkers for Ovarian Cancer
Ovarian cancer (OC) is a highly malignant gynecologic tumor with few treatments available and poor prognosis with the currently available diagnostic markers and interventions. More effective methods for diagnosis and treatment are urgently needed. Although the current evidence implicates ferroptosis...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218568/ https://www.ncbi.nlm.nih.gov/pubmed/35756659 http://dx.doi.org/10.3389/fonc.2022.888699 |
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author | Wang, Kaili Mei, Shanshan Cai, Mengcheng Zhai, Dongxia Zhang, Danying Yu, Jin Ni, Zhexin Yu, Chaoqin |
author_facet | Wang, Kaili Mei, Shanshan Cai, Mengcheng Zhai, Dongxia Zhang, Danying Yu, Jin Ni, Zhexin Yu, Chaoqin |
author_sort | Wang, Kaili |
collection | PubMed |
description | Ovarian cancer (OC) is a highly malignant gynecologic tumor with few treatments available and poor prognosis with the currently available diagnostic markers and interventions. More effective methods for diagnosis and treatment are urgently needed. Although the current evidence implicates ferroptosis in the development and therapeutic responses of various types of tumors, it is unclear to what extent ferroptosis affects OC. To explore the potential of ferroptosis-related genes as biomarkers and molecular targets for OC diagnosis and intervention, this study collected several datasets from The Cancer Genome Atlas-OC (TCGA-OC), analyzed and identified the coexpression profiles of 60 ferroptosis-related genes and two subtypes of OC with respect to ferroptosis and further examined and analyzed the differentially expressed genes between the two subtypes. The results indicated that the expression levels of ferroptosis genes were significantly correlated with prognosis in patients with OC. Single-factor Cox and LASSO analysis identified eight lncRNAs from the screened ferroptosis-related genes, including lncRNAs RP11-443B7.3, RP5-1028K7.2, TRAM2-AS1, AC073283.4, RP11-486G15.2, RP11-95H3.1, RP11-958F21.1, and AC006129.1. A risk scoring model was constructed from the ferroptosis-related lncRNAs and showed good performance in the evaluation of OC patient prognosis. The high- and low-risk groups based on tumor scores presented obvious differences in clinical characteristics, tumor mutation burden, and tumor immune cell infiltration, indicating that the risk score has a good ability to predict the benefit of immunotherapy and may provide data to support the implementation of precise immunotherapy for OC. Although in vivo tests and research are needed in the future, our bioinformatics analysis powerfully supported the effectiveness of the risk signature of ferroptosis-related lncRNAs for prognosis prediction in OC. The findings suggest that these eight identified lncRNAs have great potential for development as diagnostic markers and intervention targets for OC and that patients with high ferroptosis-related lncRNA expression will receive greater benefits from conventional chemotherapy or treatment with ferroptosis inducers. |
format | Online Article Text |
id | pubmed-9218568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92185682022-06-24 Ferroptosis-Related Long Noncoding RNAs as Prognostic Biomarkers for Ovarian Cancer Wang, Kaili Mei, Shanshan Cai, Mengcheng Zhai, Dongxia Zhang, Danying Yu, Jin Ni, Zhexin Yu, Chaoqin Front Oncol Oncology Ovarian cancer (OC) is a highly malignant gynecologic tumor with few treatments available and poor prognosis with the currently available diagnostic markers and interventions. More effective methods for diagnosis and treatment are urgently needed. Although the current evidence implicates ferroptosis in the development and therapeutic responses of various types of tumors, it is unclear to what extent ferroptosis affects OC. To explore the potential of ferroptosis-related genes as biomarkers and molecular targets for OC diagnosis and intervention, this study collected several datasets from The Cancer Genome Atlas-OC (TCGA-OC), analyzed and identified the coexpression profiles of 60 ferroptosis-related genes and two subtypes of OC with respect to ferroptosis and further examined and analyzed the differentially expressed genes between the two subtypes. The results indicated that the expression levels of ferroptosis genes were significantly correlated with prognosis in patients with OC. Single-factor Cox and LASSO analysis identified eight lncRNAs from the screened ferroptosis-related genes, including lncRNAs RP11-443B7.3, RP5-1028K7.2, TRAM2-AS1, AC073283.4, RP11-486G15.2, RP11-95H3.1, RP11-958F21.1, and AC006129.1. A risk scoring model was constructed from the ferroptosis-related lncRNAs and showed good performance in the evaluation of OC patient prognosis. The high- and low-risk groups based on tumor scores presented obvious differences in clinical characteristics, tumor mutation burden, and tumor immune cell infiltration, indicating that the risk score has a good ability to predict the benefit of immunotherapy and may provide data to support the implementation of precise immunotherapy for OC. Although in vivo tests and research are needed in the future, our bioinformatics analysis powerfully supported the effectiveness of the risk signature of ferroptosis-related lncRNAs for prognosis prediction in OC. The findings suggest that these eight identified lncRNAs have great potential for development as diagnostic markers and intervention targets for OC and that patients with high ferroptosis-related lncRNA expression will receive greater benefits from conventional chemotherapy or treatment with ferroptosis inducers. Frontiers Media S.A. 2022-06-09 /pmc/articles/PMC9218568/ /pubmed/35756659 http://dx.doi.org/10.3389/fonc.2022.888699 Text en Copyright © 2022 Wang, Mei, Cai, Zhai, Zhang, Yu, Ni and Yu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Wang, Kaili Mei, Shanshan Cai, Mengcheng Zhai, Dongxia Zhang, Danying Yu, Jin Ni, Zhexin Yu, Chaoqin Ferroptosis-Related Long Noncoding RNAs as Prognostic Biomarkers for Ovarian Cancer |
title | Ferroptosis-Related Long Noncoding RNAs as Prognostic Biomarkers for Ovarian Cancer |
title_full | Ferroptosis-Related Long Noncoding RNAs as Prognostic Biomarkers for Ovarian Cancer |
title_fullStr | Ferroptosis-Related Long Noncoding RNAs as Prognostic Biomarkers for Ovarian Cancer |
title_full_unstemmed | Ferroptosis-Related Long Noncoding RNAs as Prognostic Biomarkers for Ovarian Cancer |
title_short | Ferroptosis-Related Long Noncoding RNAs as Prognostic Biomarkers for Ovarian Cancer |
title_sort | ferroptosis-related long noncoding rnas as prognostic biomarkers for ovarian cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218568/ https://www.ncbi.nlm.nih.gov/pubmed/35756659 http://dx.doi.org/10.3389/fonc.2022.888699 |
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