Cargando…
A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma
Background: The incidence of clear cell renal cell carcinoma (ccRCC) is high and has increased gradually in recent years. At present, due to the lack of effective prognostic indicators, the prognosis of ccRCC patients is greatly affected.Necroptosis is a type of cell death, and along with cell necro...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532702/ https://www.ncbi.nlm.nih.gov/pubmed/36212132 http://dx.doi.org/10.3389/fgene.2022.948254 |
_version_ | 1784802174655528960 |
---|---|
author | Lv, Jinxing Xu, Qinghui Wu, Guoqing Hou, Jian Yang, Guang Tang, Cheng Qu, Genyi Xu, Yong |
author_facet | Lv, Jinxing Xu, Qinghui Wu, Guoqing Hou, Jian Yang, Guang Tang, Cheng Qu, Genyi Xu, Yong |
author_sort | Lv, Jinxing |
collection | PubMed |
description | Background: The incidence of clear cell renal cell carcinoma (ccRCC) is high and has increased gradually in recent years. At present, due to the lack of effective prognostic indicators, the prognosis of ccRCC patients is greatly affected.Necroptosis is a type of cell death, and along with cell necrosis is considered a new cancer treatment strategy. The aim of this study was to construct a new marker for predicting the prognosis of ccRCC patients based on long non-coding RNA (nrlncRNAs) associated with necroptosis. Methods: RNA sequence data and clinical information of ccRCC patients from the Cancer Genome Atlas database (TCGA) were downloaded. NrlncRNA was identified by Pearson correlation study. The differentially expressed nrlncRNA and nrlncRNA pairs were identified by univariate Cox regression and Lasso-Cox regression. Finally, a Kaplan-Meier survival study, Cox regression, clinicopathological features correlation study, and receiver operating characteristic (ROC) spectrum were used to evaluate the prediction ability of 25-nrlncrnas for markers. In addition, correlations between the risk values and sensitivity to tumor-infiltrating immune cells, immune checkpoint inhibitors, and targeted drugs were also investigated. Results: In the current research, a novel marker of 25-nrlncRNAs pairs was developed to improve prognostic prediction in patients with ccRCC. Compared with clinicopathological features, nrlncRNAs had a higher diagnostic validity for markers, with the 1-year, 3-years, and 5-years operating characteristic regions being 0.902, 0.835, and 0.856, respectively, and compared with the stage of 0.868, an increase of 0.034. Cox regression and stratified survival studies showed that this marker could be an independent predictor of ccRCC patients. In addition, patients with different risk scores had significant differences in tumor-infiltrating immune cells, immune checkpoint, and semi-inhibitory concentration of targeted drugs. The feature could be used to evaluate the clinical efficacy of immunotherapy and targeted drug therapy. Conclusion: 25-nrlncRNAs pair markers may help to evaluate the prognosis and molecular characteristics of ccRCC patients, which improve treatment methods and can be more used in clinical practice. |
format | Online Article Text |
id | pubmed-9532702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95327022022-10-06 A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma Lv, Jinxing Xu, Qinghui Wu, Guoqing Hou, Jian Yang, Guang Tang, Cheng Qu, Genyi Xu, Yong Front Genet Genetics Background: The incidence of clear cell renal cell carcinoma (ccRCC) is high and has increased gradually in recent years. At present, due to the lack of effective prognostic indicators, the prognosis of ccRCC patients is greatly affected.Necroptosis is a type of cell death, and along with cell necrosis is considered a new cancer treatment strategy. The aim of this study was to construct a new marker for predicting the prognosis of ccRCC patients based on long non-coding RNA (nrlncRNAs) associated with necroptosis. Methods: RNA sequence data and clinical information of ccRCC patients from the Cancer Genome Atlas database (TCGA) were downloaded. NrlncRNA was identified by Pearson correlation study. The differentially expressed nrlncRNA and nrlncRNA pairs were identified by univariate Cox regression and Lasso-Cox regression. Finally, a Kaplan-Meier survival study, Cox regression, clinicopathological features correlation study, and receiver operating characteristic (ROC) spectrum were used to evaluate the prediction ability of 25-nrlncrnas for markers. In addition, correlations between the risk values and sensitivity to tumor-infiltrating immune cells, immune checkpoint inhibitors, and targeted drugs were also investigated. Results: In the current research, a novel marker of 25-nrlncRNAs pairs was developed to improve prognostic prediction in patients with ccRCC. Compared with clinicopathological features, nrlncRNAs had a higher diagnostic validity for markers, with the 1-year, 3-years, and 5-years operating characteristic regions being 0.902, 0.835, and 0.856, respectively, and compared with the stage of 0.868, an increase of 0.034. Cox regression and stratified survival studies showed that this marker could be an independent predictor of ccRCC patients. In addition, patients with different risk scores had significant differences in tumor-infiltrating immune cells, immune checkpoint, and semi-inhibitory concentration of targeted drugs. The feature could be used to evaluate the clinical efficacy of immunotherapy and targeted drug therapy. Conclusion: 25-nrlncRNAs pair markers may help to evaluate the prognosis and molecular characteristics of ccRCC patients, which improve treatment methods and can be more used in clinical practice. Frontiers Media S.A. 2022-09-21 /pmc/articles/PMC9532702/ /pubmed/36212132 http://dx.doi.org/10.3389/fgene.2022.948254 Text en Copyright © 2022 Lv, Xu, Wu, Hou, Yang, Tang, Qu and Xu. 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 | Genetics Lv, Jinxing Xu, Qinghui Wu, Guoqing Hou, Jian Yang, Guang Tang, Cheng Qu, Genyi Xu, Yong A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma |
title | A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma |
title_full | A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma |
title_fullStr | A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma |
title_full_unstemmed | A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma |
title_short | A novel marker based on necroptosis-related long non-coding RNA for forecasting prognostic in patients with clear cell renal cell carcinoma |
title_sort | novel marker based on necroptosis-related long non-coding rna for forecasting prognostic in patients with clear cell renal cell carcinoma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532702/ https://www.ncbi.nlm.nih.gov/pubmed/36212132 http://dx.doi.org/10.3389/fgene.2022.948254 |
work_keys_str_mv | AT lvjinxing anovelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT xuqinghui anovelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT wuguoqing anovelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT houjian anovelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT yangguang anovelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT tangcheng anovelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT qugenyi anovelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT xuyong anovelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT lvjinxing novelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT xuqinghui novelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT wuguoqing novelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT houjian novelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT yangguang novelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT tangcheng novelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT qugenyi novelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma AT xuyong novelmarkerbasedonnecroptosisrelatedlongnoncodingrnaforforecastingprognosticinpatientswithclearcellrenalcellcarcinoma |