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Disulfidptosis-associated LncRNAs index predicts prognosis and chemotherapy drugs sensitivity in cervical cancer

Disulfidptosis is a newly discovered form of cell death. Not yet clearly classified as programmed cell death or accidental cell death. This study aimed to create a novel disulfidptosis-related lncRNA index (DLI) that can be used to predict survival and chemotherapy drugs sensitivity in patients with...

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Autores principales: Liu, Li, Liu, Jun, Lyu, Qianbao, Huang, Jinzhi, Chen, Yuanfeng, Feng, Cuiyi, Liu, Yaoyao, Chen, Fukun, Wang, Zhouyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394072/
https://www.ncbi.nlm.nih.gov/pubmed/37528124
http://dx.doi.org/10.1038/s41598-023-39669-3
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author Liu, Li
Liu, Jun
Lyu, Qianbao
Huang, Jinzhi
Chen, Yuanfeng
Feng, Cuiyi
Liu, Yaoyao
Chen, Fukun
Wang, Zhouyan
author_facet Liu, Li
Liu, Jun
Lyu, Qianbao
Huang, Jinzhi
Chen, Yuanfeng
Feng, Cuiyi
Liu, Yaoyao
Chen, Fukun
Wang, Zhouyan
author_sort Liu, Li
collection PubMed
description Disulfidptosis is a newly discovered form of cell death. Not yet clearly classified as programmed cell death or accidental cell death. This study aimed to create a novel disulfidptosis-related lncRNA index (DLI) that can be used to predict survival and chemotherapy drugs sensitivity in patients with cervical cancer. First of all, we found lncRNAs associated with disulfidptosis between cervical cancer tissues and normal tissues. By LASSO-Cox analysis, overlapping lncRNAs were then used to construct lncRNA index associated with disulfidptosis, which can be served to predict the prognosis of patients with CC, especially the chemotherapy drugs sensitivity. ROC curves and PCA based on DLI and clinical signatures were developed and demonstrated to have good predictive potential. In addition, differences in immune cell subset infiltration and differences in immune checkpoint expression between high-DLI and low-DLI groups were analyzed, and we investigated the relationship between the DLI and tumor mutation burden (TMB). In summary, we constructed a lncRNA prediction index associated with disulfidptosis. This has important clinical implications, including improving the predictive value of cervical cancer patients and providing a biomarker for cervical cancer guiding individualized treatment.
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spelling pubmed-103940722023-08-03 Disulfidptosis-associated LncRNAs index predicts prognosis and chemotherapy drugs sensitivity in cervical cancer Liu, Li Liu, Jun Lyu, Qianbao Huang, Jinzhi Chen, Yuanfeng Feng, Cuiyi Liu, Yaoyao Chen, Fukun Wang, Zhouyan Sci Rep Article Disulfidptosis is a newly discovered form of cell death. Not yet clearly classified as programmed cell death or accidental cell death. This study aimed to create a novel disulfidptosis-related lncRNA index (DLI) that can be used to predict survival and chemotherapy drugs sensitivity in patients with cervical cancer. First of all, we found lncRNAs associated with disulfidptosis between cervical cancer tissues and normal tissues. By LASSO-Cox analysis, overlapping lncRNAs were then used to construct lncRNA index associated with disulfidptosis, which can be served to predict the prognosis of patients with CC, especially the chemotherapy drugs sensitivity. ROC curves and PCA based on DLI and clinical signatures were developed and demonstrated to have good predictive potential. In addition, differences in immune cell subset infiltration and differences in immune checkpoint expression between high-DLI and low-DLI groups were analyzed, and we investigated the relationship between the DLI and tumor mutation burden (TMB). In summary, we constructed a lncRNA prediction index associated with disulfidptosis. This has important clinical implications, including improving the predictive value of cervical cancer patients and providing a biomarker for cervical cancer guiding individualized treatment. Nature Publishing Group UK 2023-08-01 /pmc/articles/PMC10394072/ /pubmed/37528124 http://dx.doi.org/10.1038/s41598-023-39669-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Liu, Li
Liu, Jun
Lyu, Qianbao
Huang, Jinzhi
Chen, Yuanfeng
Feng, Cuiyi
Liu, Yaoyao
Chen, Fukun
Wang, Zhouyan
Disulfidptosis-associated LncRNAs index predicts prognosis and chemotherapy drugs sensitivity in cervical cancer
title Disulfidptosis-associated LncRNAs index predicts prognosis and chemotherapy drugs sensitivity in cervical cancer
title_full Disulfidptosis-associated LncRNAs index predicts prognosis and chemotherapy drugs sensitivity in cervical cancer
title_fullStr Disulfidptosis-associated LncRNAs index predicts prognosis and chemotherapy drugs sensitivity in cervical cancer
title_full_unstemmed Disulfidptosis-associated LncRNAs index predicts prognosis and chemotherapy drugs sensitivity in cervical cancer
title_short Disulfidptosis-associated LncRNAs index predicts prognosis and chemotherapy drugs sensitivity in cervical cancer
title_sort disulfidptosis-associated lncrnas index predicts prognosis and chemotherapy drugs sensitivity in cervical cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394072/
https://www.ncbi.nlm.nih.gov/pubmed/37528124
http://dx.doi.org/10.1038/s41598-023-39669-3
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