Loading…

A Novel Ferroptosis-Related Gene Signature for Prognosis Prediction in Ewing Sarcoma

Ferroptosis, as a form of programmed cell death independent of apoptosis, has been demonstrated that plays a major role in tumorigenesis and cancer treatment. A comprehensive analysis of ferroptosis-related genes (FRGs) may lead to a novel choice for the treatment of Ewing sarcoma (ES). Here, 148 di...

Full description

Saved in:
Bibliographic Details
Published in:Analytical cellular pathology (Amsterdam) 2022-08, Vol.2022, p.1-22
Main Authors: Zhao, Runhan, Li, Zefang, Huang, Yanran, Xiong, Chuang, Zhang, Chao, Liang, Hao, Xu, Jingtao, Luo, Xiaoji
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c502t-e4b5ed633777927f43ddfb6e373fc2cd8c4cf1bb982767d655fe001715a7882d3
cites cdi_FETCH-LOGICAL-c502t-e4b5ed633777927f43ddfb6e373fc2cd8c4cf1bb982767d655fe001715a7882d3
container_end_page 22
container_issue
container_start_page 1
container_title Analytical cellular pathology (Amsterdam)
container_volume 2022
creator Zhao, Runhan
Li, Zefang
Huang, Yanran
Xiong, Chuang
Zhang, Chao
Liang, Hao
Xu, Jingtao
Luo, Xiaoji
description Ferroptosis, as a form of programmed cell death independent of apoptosis, has been demonstrated that plays a major role in tumorigenesis and cancer treatment. A comprehensive analysis of ferroptosis-related genes (FRGs) may lead to a novel choice for the treatment of Ewing sarcoma (ES). Here, 148 differentially expressed FRGs (DEFRGs) were identified between normal and ES tissue. And the GO and KEGG analyses of DEFRGs indicated that these genes were enriched in cancer and immune-related signaling pathways. Then, the GSE17679 cohort was randomly divided into train and test cohorts. Based on the train cohort, AURKA, RGS4, and RIPK1 were identified as key genes through the univariate Cox regression analysis, the random survival forest algorithm, and the multivariate Cox regression analysis and utilized to establish a prognostic FRG signature. The validation results demonstrated that the gene signature has not only excellent prediction performance and generalization ability but is also good at predicting the response of immunotherapy and chemotherapy. Subsequent analysis indicated that all 3 key genes play key roles in tumor immunity and prognosis of ES. Of these, AURKA was highly associated with EWSR1, which was verified by a single-cell dataset (GSE130019). Therefore, the 3 genes may be potential therapeutic targets for ES. At the end of this study, we also constructed an accurate nomogram that helps clinicians to assess the survival time of ES patients. In conclusion, our study constructed an excellent gene signature, which is helpful in improving the prognosis of ES patients.
doi_str_mv 10.1155/2022/6711629
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_44d624b5a0e34e5296c944fec5f51d55</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A821425683</galeid><doaj_id>oai_doaj_org_article_44d624b5a0e34e5296c944fec5f51d55</doaj_id><sourcerecordid>A821425683</sourcerecordid><originalsourceid>FETCH-LOGICAL-c502t-e4b5ed633777927f43ddfb6e373fc2cd8c4cf1bb982767d655fe001715a7882d3</originalsourceid><addsrcrecordid>eNp9ks9LHTEQgJfSUkW99Q_YY6F9mt_ZXAoPUStILdWeQzaZrJHd5DXZp_jfN6_7ELw0OWSYfPPNHKZpPmF0ijHnZwQRciYkxoKod80hIRitJO74-9dYyoPmpJRHVA9VSiH-sTmgAnGkqDps7tftj_QEY3sJOafNnEooq18wmhlcewUR2rswRDNvM7Q-5fZnTkPcQTUCF-wcUmxDbC-eQxzaO5Ntmsxx88GbscDJ_j1qfl9e3J9_X93cXl2fr29WliMyr4D1HJygVEqpiPSMOud7AVRSb4l1nWXW475XHZFCOsG5B4SwxNzIriOOHjXXi9cl86g3OUwmv-hkgv6XSHnQJs_BjqAZc4LUfgYBZcCJElYx5sFyz7HjvLq-La7Ntp_AWYhzNuMb6dufGB70kJ60YoRj1FXB570gpz9bKLOeQrEwjiZC2hZNJFKSMiZERU8XdDB1tBB9qkZbr4Mp2BTBh5pfdwRXt-hoLfi6FNicSsngX-fCSO8WQe8WQe8XoeJfFvwhRGeew__pv102sCc</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2709734466</pqid></control><display><type>article</type><title>A Novel Ferroptosis-Related Gene Signature for Prognosis Prediction in Ewing Sarcoma</title><source>PubMed Central (Open Access)</source><source>Wiley-Blackwell Open Access Collection</source><creator>Zhao, Runhan ; Li, Zefang ; Huang, Yanran ; Xiong, Chuang ; Zhang, Chao ; Liang, Hao ; Xu, Jingtao ; Luo, Xiaoji</creator><contributor>Endo, Makoto</contributor><creatorcontrib>Zhao, Runhan ; Li, Zefang ; Huang, Yanran ; Xiong, Chuang ; Zhang, Chao ; Liang, Hao ; Xu, Jingtao ; Luo, Xiaoji ; Endo, Makoto</creatorcontrib><description>Ferroptosis, as a form of programmed cell death independent of apoptosis, has been demonstrated that plays a major role in tumorigenesis and cancer treatment. A comprehensive analysis of ferroptosis-related genes (FRGs) may lead to a novel choice for the treatment of Ewing sarcoma (ES). Here, 148 differentially expressed FRGs (DEFRGs) were identified between normal and ES tissue. And the GO and KEGG analyses of DEFRGs indicated that these genes were enriched in cancer and immune-related signaling pathways. Then, the GSE17679 cohort was randomly divided into train and test cohorts. Based on the train cohort, AURKA, RGS4, and RIPK1 were identified as key genes through the univariate Cox regression analysis, the random survival forest algorithm, and the multivariate Cox regression analysis and utilized to establish a prognostic FRG signature. The validation results demonstrated that the gene signature has not only excellent prediction performance and generalization ability but is also good at predicting the response of immunotherapy and chemotherapy. Subsequent analysis indicated that all 3 key genes play key roles in tumor immunity and prognosis of ES. Of these, AURKA was highly associated with EWSR1, which was verified by a single-cell dataset (GSE130019). Therefore, the 3 genes may be potential therapeutic targets for ES. At the end of this study, we also constructed an accurate nomogram that helps clinicians to assess the survival time of ES patients. In conclusion, our study constructed an excellent gene signature, which is helpful in improving the prognosis of ES patients.</description><identifier>ISSN: 2210-7177</identifier><identifier>EISSN: 2210-7185</identifier><identifier>DOI: 10.1155/2022/6711629</identifier><identifier>PMID: 36050939</identifier><language>eng</language><publisher>Hindawi</publisher><subject>Algorithms ; Apoptosis ; Cancer ; Chemotherapy ; Genes ; Genetic aspects ; Immunotherapy ; Medical research ; Medicine, Experimental ; Sarcoma</subject><ispartof>Analytical cellular pathology (Amsterdam), 2022-08, Vol.2022, p.1-22</ispartof><rights>Copyright © 2022 Runhan Zhao et al.</rights><rights>COPYRIGHT 2022 John Wiley &amp; Sons, Inc.</rights><rights>Copyright © 2022 Runhan Zhao et al. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c502t-e4b5ed633777927f43ddfb6e373fc2cd8c4cf1bb982767d655fe001715a7882d3</citedby><cites>FETCH-LOGICAL-c502t-e4b5ed633777927f43ddfb6e373fc2cd8c4cf1bb982767d655fe001715a7882d3</cites><orcidid>0000-0002-5681-7568 ; 0000-0001-6122-8664 ; 0000-0002-4183-1017 ; 0000-0002-0996-6923 ; 0000-0003-0750-4642 ; 0000-0003-2307-0565 ; 0000-0001-8064-4006 ; 0000-0002-3783-9438</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9425108/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9425108/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids></links><search><contributor>Endo, Makoto</contributor><creatorcontrib>Zhao, Runhan</creatorcontrib><creatorcontrib>Li, Zefang</creatorcontrib><creatorcontrib>Huang, Yanran</creatorcontrib><creatorcontrib>Xiong, Chuang</creatorcontrib><creatorcontrib>Zhang, Chao</creatorcontrib><creatorcontrib>Liang, Hao</creatorcontrib><creatorcontrib>Xu, Jingtao</creatorcontrib><creatorcontrib>Luo, Xiaoji</creatorcontrib><title>A Novel Ferroptosis-Related Gene Signature for Prognosis Prediction in Ewing Sarcoma</title><title>Analytical cellular pathology (Amsterdam)</title><description>Ferroptosis, as a form of programmed cell death independent of apoptosis, has been demonstrated that plays a major role in tumorigenesis and cancer treatment. A comprehensive analysis of ferroptosis-related genes (FRGs) may lead to a novel choice for the treatment of Ewing sarcoma (ES). Here, 148 differentially expressed FRGs (DEFRGs) were identified between normal and ES tissue. And the GO and KEGG analyses of DEFRGs indicated that these genes were enriched in cancer and immune-related signaling pathways. Then, the GSE17679 cohort was randomly divided into train and test cohorts. Based on the train cohort, AURKA, RGS4, and RIPK1 were identified as key genes through the univariate Cox regression analysis, the random survival forest algorithm, and the multivariate Cox regression analysis and utilized to establish a prognostic FRG signature. The validation results demonstrated that the gene signature has not only excellent prediction performance and generalization ability but is also good at predicting the response of immunotherapy and chemotherapy. Subsequent analysis indicated that all 3 key genes play key roles in tumor immunity and prognosis of ES. Of these, AURKA was highly associated with EWSR1, which was verified by a single-cell dataset (GSE130019). Therefore, the 3 genes may be potential therapeutic targets for ES. At the end of this study, we also constructed an accurate nomogram that helps clinicians to assess the survival time of ES patients. In conclusion, our study constructed an excellent gene signature, which is helpful in improving the prognosis of ES patients.</description><subject>Algorithms</subject><subject>Apoptosis</subject><subject>Cancer</subject><subject>Chemotherapy</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Immunotherapy</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Sarcoma</subject><issn>2210-7177</issn><issn>2210-7185</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNp9ks9LHTEQgJfSUkW99Q_YY6F9mt_ZXAoPUStILdWeQzaZrJHd5DXZp_jfN6_7ELw0OWSYfPPNHKZpPmF0ijHnZwQRciYkxoKod80hIRitJO74-9dYyoPmpJRHVA9VSiH-sTmgAnGkqDps7tftj_QEY3sJOafNnEooq18wmhlcewUR2rswRDNvM7Q-5fZnTkPcQTUCF-wcUmxDbC-eQxzaO5Ntmsxx88GbscDJ_j1qfl9e3J9_X93cXl2fr29WliMyr4D1HJygVEqpiPSMOud7AVRSb4l1nWXW475XHZFCOsG5B4SwxNzIriOOHjXXi9cl86g3OUwmv-hkgv6XSHnQJs_BjqAZc4LUfgYBZcCJElYx5sFyz7HjvLq-La7Ntp_AWYhzNuMb6dufGB70kJ60YoRj1FXB570gpz9bKLOeQrEwjiZC2hZNJFKSMiZERU8XdDB1tBB9qkZbr4Mp2BTBh5pfdwRXt-hoLfi6FNicSsngX-fCSO8WQe8WQe8XoeJfFvwhRGeew__pv102sCc</recordid><startdate>20220822</startdate><enddate>20220822</enddate><creator>Zhao, Runhan</creator><creator>Li, Zefang</creator><creator>Huang, Yanran</creator><creator>Xiong, Chuang</creator><creator>Zhang, Chao</creator><creator>Liang, Hao</creator><creator>Xu, Jingtao</creator><creator>Luo, Xiaoji</creator><general>Hindawi</general><general>John Wiley &amp; Sons, Inc</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-5681-7568</orcidid><orcidid>https://orcid.org/0000-0001-6122-8664</orcidid><orcidid>https://orcid.org/0000-0002-4183-1017</orcidid><orcidid>https://orcid.org/0000-0002-0996-6923</orcidid><orcidid>https://orcid.org/0000-0003-0750-4642</orcidid><orcidid>https://orcid.org/0000-0003-2307-0565</orcidid><orcidid>https://orcid.org/0000-0001-8064-4006</orcidid><orcidid>https://orcid.org/0000-0002-3783-9438</orcidid></search><sort><creationdate>20220822</creationdate><title>A Novel Ferroptosis-Related Gene Signature for Prognosis Prediction in Ewing Sarcoma</title><author>Zhao, Runhan ; Li, Zefang ; Huang, Yanran ; Xiong, Chuang ; Zhang, Chao ; Liang, Hao ; Xu, Jingtao ; Luo, Xiaoji</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c502t-e4b5ed633777927f43ddfb6e373fc2cd8c4cf1bb982767d655fe001715a7882d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Algorithms</topic><topic>Apoptosis</topic><topic>Cancer</topic><topic>Chemotherapy</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Immunotherapy</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Sarcoma</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Runhan</creatorcontrib><creatorcontrib>Li, Zefang</creatorcontrib><creatorcontrib>Huang, Yanran</creatorcontrib><creatorcontrib>Xiong, Chuang</creatorcontrib><creatorcontrib>Zhang, Chao</creatorcontrib><creatorcontrib>Liang, Hao</creatorcontrib><creatorcontrib>Xu, Jingtao</creatorcontrib><creatorcontrib>Luo, Xiaoji</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Analytical cellular pathology (Amsterdam)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Runhan</au><au>Li, Zefang</au><au>Huang, Yanran</au><au>Xiong, Chuang</au><au>Zhang, Chao</au><au>Liang, Hao</au><au>Xu, Jingtao</au><au>Luo, Xiaoji</au><au>Endo, Makoto</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Novel Ferroptosis-Related Gene Signature for Prognosis Prediction in Ewing Sarcoma</atitle><jtitle>Analytical cellular pathology (Amsterdam)</jtitle><date>2022-08-22</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>22</epage><pages>1-22</pages><issn>2210-7177</issn><eissn>2210-7185</eissn><abstract>Ferroptosis, as a form of programmed cell death independent of apoptosis, has been demonstrated that plays a major role in tumorigenesis and cancer treatment. A comprehensive analysis of ferroptosis-related genes (FRGs) may lead to a novel choice for the treatment of Ewing sarcoma (ES). Here, 148 differentially expressed FRGs (DEFRGs) were identified between normal and ES tissue. And the GO and KEGG analyses of DEFRGs indicated that these genes were enriched in cancer and immune-related signaling pathways. Then, the GSE17679 cohort was randomly divided into train and test cohorts. Based on the train cohort, AURKA, RGS4, and RIPK1 were identified as key genes through the univariate Cox regression analysis, the random survival forest algorithm, and the multivariate Cox regression analysis and utilized to establish a prognostic FRG signature. The validation results demonstrated that the gene signature has not only excellent prediction performance and generalization ability but is also good at predicting the response of immunotherapy and chemotherapy. Subsequent analysis indicated that all 3 key genes play key roles in tumor immunity and prognosis of ES. Of these, AURKA was highly associated with EWSR1, which was verified by a single-cell dataset (GSE130019). Therefore, the 3 genes may be potential therapeutic targets for ES. At the end of this study, we also constructed an accurate nomogram that helps clinicians to assess the survival time of ES patients. In conclusion, our study constructed an excellent gene signature, which is helpful in improving the prognosis of ES patients.</abstract><pub>Hindawi</pub><pmid>36050939</pmid><doi>10.1155/2022/6711629</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0002-5681-7568</orcidid><orcidid>https://orcid.org/0000-0001-6122-8664</orcidid><orcidid>https://orcid.org/0000-0002-4183-1017</orcidid><orcidid>https://orcid.org/0000-0002-0996-6923</orcidid><orcidid>https://orcid.org/0000-0003-0750-4642</orcidid><orcidid>https://orcid.org/0000-0003-2307-0565</orcidid><orcidid>https://orcid.org/0000-0001-8064-4006</orcidid><orcidid>https://orcid.org/0000-0002-3783-9438</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2210-7177
ispartof Analytical cellular pathology (Amsterdam), 2022-08, Vol.2022, p.1-22
issn 2210-7177
2210-7185
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_44d624b5a0e34e5296c944fec5f51d55
source PubMed Central (Open Access); Wiley-Blackwell Open Access Collection
subjects Algorithms
Apoptosis
Cancer
Chemotherapy
Genes
Genetic aspects
Immunotherapy
Medical research
Medicine, Experimental
Sarcoma
title A Novel Ferroptosis-Related Gene Signature for Prognosis Prediction in Ewing Sarcoma
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T21%3A04%3A55IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Novel%20Ferroptosis-Related%20Gene%20Signature%20for%20Prognosis%20Prediction%20in%20Ewing%20Sarcoma&rft.jtitle=Analytical%20cellular%20pathology%20(Amsterdam)&rft.au=Zhao,%20Runhan&rft.date=2022-08-22&rft.volume=2022&rft.spage=1&rft.epage=22&rft.pages=1-22&rft.issn=2210-7177&rft.eissn=2210-7185&rft_id=info:doi/10.1155/2022/6711629&rft_dat=%3Cgale_doaj_%3EA821425683%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c502t-e4b5ed633777927f43ddfb6e373fc2cd8c4cf1bb982767d655fe001715a7882d3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2709734466&rft_id=info:pmid/36050939&rft_galeid=A821425683&rfr_iscdi=true