Development of an ubiquitin‐proteasome system signature for predicting prognosis and providing therapeutic guidance for patients with triple‐negative breast cancer

Background Triple‐negative breast cancer (TNBC) is a pathological subtype with a high mortality, and the development of inhibitors in the ubiquitin–proteasome system (UPS) component could be a novel therapeutic tool. Methods Triple‐negative breast cancer data were obtained from The Cancer Genome Atl...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The journal of gene medicine 2024-01, Vol.26 (1), p.e3584-n/a
Hauptverfasser: Chen, Xiaoqing, Ren, Chongyang, Zhou, Zhisheng, Chen, Jiewen, Fan, Xulong, Li, Xiangzhi, Chen, Jintao, Zhu, Jing
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page n/a
container_issue 1
container_start_page e3584
container_title The journal of gene medicine
container_volume 26
creator Chen, Xiaoqing
Ren, Chongyang
Zhou, Zhisheng
Chen, Jiewen
Fan, Xulong
Li, Xiangzhi
Chen, Jintao
Zhu, Jing
description Background Triple‐negative breast cancer (TNBC) is a pathological subtype with a high mortality, and the development of inhibitors in the ubiquitin–proteasome system (UPS) component could be a novel therapeutic tool. Methods Triple‐negative breast cancer data were obtained from The Cancer Genome Atlas (TCGA), and subtype analysis was performed by consistent clustering analysis to identify molecular subtypes of TNBC according to UPS characteristics. Differential analysis, COX and least absolute shrinkage and selection operator (LASSO) COX regression analyses were performed to select genes associated with overall survival in TNBC. The final prognostic model (UPS score) was determined using the LASSO COX model. The model performance was assessed using receiver operating characteristic (ROC) curves and survival curves. In addition, the results of the UPS score on analyzing the abundance of immune cell infiltration and immunotherapy were explored. Finally, we developed a nomogram for TNBC survival prediction. Results Two UPS subtypes (UPSMS1 and UPSMS2) showing significant survival differences were classified. COX regression analysis on differentially expressed genes in UPSMS1 and UPSMS2 filtered five genes that affected overall survival. Based on the regression coefficients and expression data of the five genes, we built a prognostic assessment system (UPS score). The UPS score showed consistent prognostic and therapeutic guidance values. Finally, the ROC curve of the nomogram and UPS score showed the highest predictive efficacy compared with traditional clinical prognostic indicators. Conclusion The UPS score represented a promising prognostic tool to predict overall survival and immune status and guide personalized treatment selection in TNBC patients, and this study may provide a more practical alternative for clinical monitoring and management of TNBC. Identification of the ubiquitin–proteasome system signature for predicting prognosis and therapeutic guidance in triple‐negative breast cancer: In this study, two molecular subtypes (UPSMS1 and UPSMS2) were identified by analyzing the ubiquitin–proteasome system (UPS) genes in triple‐negative breast cancer (TNBC). A prognostic model of TNBC (UPS score) was constructed based on the differentially expressed genes in UPSMS1 and UPSMS2, and the immune status and affected biological pathways in UPSMSs and UPS groups were compared.
doi_str_mv 10.1002/jgm.3584
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2854969297</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2854969297</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3164-527eb5a9b26e218db2647d5145aab2c50e4eb2b1eeda30dbc54b0fb705186e653</originalsourceid><addsrcrecordid>eNp1kctu1TAQhi1URC8g9QkqL9mk2I6dxMuqV1ARG5DYRb5MUldJnNrOqc6uj8Bb8F48CQ49wKqrmfF88_-yfoSOKTmlhLAP9_14WoqGv0IHVDBaMCb4Xu6JlAWXzfd9dBjjPSG0bhr5Bu2XdUWELPkB-nkBGxj8PMKUsO-wmvCi3cPikpt-Pf2Yg0-goh8Bx21MMOLo-kmlJQDufMBzAOtMZvvc-n7y0cWsYddp4-z6nu4gqBmW5AzuF2fVZHa3KrnsGvGjS3c4BTcPkC0n6PNiA1iH7JywWQ_CW_S6U0OEd7t6hL5dXX49vyluv1x_PD-7LUxJK14IVoMWSmpWAaONzZXXVlAulNLMCAIcNNMUwKqSWG0E16TTNRG0qaAS5RF6_6ybP_CwQEzt6KKBYVAT-CW2rBFcVpLJ-j9qgo8xQNfOwY0qbFtK2jWWNsfSrrFk9GSnuugR7D_wbw4ZKJ6BRzfA9kWh9tP15z-CvwGzn55-</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2854969297</pqid></control><display><type>article</type><title>Development of an ubiquitin‐proteasome system signature for predicting prognosis and providing therapeutic guidance for patients with triple‐negative breast cancer</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Chen, Xiaoqing ; Ren, Chongyang ; Zhou, Zhisheng ; Chen, Jiewen ; Fan, Xulong ; Li, Xiangzhi ; Chen, Jintao ; Zhu, Jing</creator><creatorcontrib>Chen, Xiaoqing ; Ren, Chongyang ; Zhou, Zhisheng ; Chen, Jiewen ; Fan, Xulong ; Li, Xiangzhi ; Chen, Jintao ; Zhu, Jing</creatorcontrib><description>Background Triple‐negative breast cancer (TNBC) is a pathological subtype with a high mortality, and the development of inhibitors in the ubiquitin–proteasome system (UPS) component could be a novel therapeutic tool. Methods Triple‐negative breast cancer data were obtained from The Cancer Genome Atlas (TCGA), and subtype analysis was performed by consistent clustering analysis to identify molecular subtypes of TNBC according to UPS characteristics. Differential analysis, COX and least absolute shrinkage and selection operator (LASSO) COX regression analyses were performed to select genes associated with overall survival in TNBC. The final prognostic model (UPS score) was determined using the LASSO COX model. The model performance was assessed using receiver operating characteristic (ROC) curves and survival curves. In addition, the results of the UPS score on analyzing the abundance of immune cell infiltration and immunotherapy were explored. Finally, we developed a nomogram for TNBC survival prediction. Results Two UPS subtypes (UPSMS1 and UPSMS2) showing significant survival differences were classified. COX regression analysis on differentially expressed genes in UPSMS1 and UPSMS2 filtered five genes that affected overall survival. Based on the regression coefficients and expression data of the five genes, we built a prognostic assessment system (UPS score). The UPS score showed consistent prognostic and therapeutic guidance values. Finally, the ROC curve of the nomogram and UPS score showed the highest predictive efficacy compared with traditional clinical prognostic indicators. Conclusion The UPS score represented a promising prognostic tool to predict overall survival and immune status and guide personalized treatment selection in TNBC patients, and this study may provide a more practical alternative for clinical monitoring and management of TNBC. Identification of the ubiquitin–proteasome system signature for predicting prognosis and therapeutic guidance in triple‐negative breast cancer: In this study, two molecular subtypes (UPSMS1 and UPSMS2) were identified by analyzing the ubiquitin–proteasome system (UPS) genes in triple‐negative breast cancer (TNBC). A prognostic model of TNBC (UPS score) was constructed based on the differentially expressed genes in UPSMS1 and UPSMS2, and the immune status and affected biological pathways in UPSMSs and UPS groups were compared.</description><identifier>ISSN: 1099-498X</identifier><identifier>EISSN: 1521-2254</identifier><identifier>DOI: 10.1002/jgm.3584</identifier><identifier>PMID: 37605934</identifier><language>eng</language><publisher>England</publisher><subject>chemotherapy sensitivity ; Cytoplasm ; Humans ; Immunotherapy ; immunotherapy response ; prognosis ; Proteasome Endopeptidase Complex - genetics ; Triple Negative Breast Neoplasms - genetics ; Triple Negative Breast Neoplasms - therapy ; triple‐negative breast cancer ; Ubiquitins ; ubiquitin‐proteasome system ; UPS score</subject><ispartof>The journal of gene medicine, 2024-01, Vol.26 (1), p.e3584-n/a</ispartof><rights>2023 The Authors. published by John Wiley &amp; Sons Ltd.</rights><rights>2023 The Authors. The Journal of Gene Medicine published by John Wiley &amp; Sons Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c3164-527eb5a9b26e218db2647d5145aab2c50e4eb2b1eeda30dbc54b0fb705186e653</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjgm.3584$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjgm.3584$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37605934$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Xiaoqing</creatorcontrib><creatorcontrib>Ren, Chongyang</creatorcontrib><creatorcontrib>Zhou, Zhisheng</creatorcontrib><creatorcontrib>Chen, Jiewen</creatorcontrib><creatorcontrib>Fan, Xulong</creatorcontrib><creatorcontrib>Li, Xiangzhi</creatorcontrib><creatorcontrib>Chen, Jintao</creatorcontrib><creatorcontrib>Zhu, Jing</creatorcontrib><title>Development of an ubiquitin‐proteasome system signature for predicting prognosis and providing therapeutic guidance for patients with triple‐negative breast cancer</title><title>The journal of gene medicine</title><addtitle>J Gene Med</addtitle><description>Background Triple‐negative breast cancer (TNBC) is a pathological subtype with a high mortality, and the development of inhibitors in the ubiquitin–proteasome system (UPS) component could be a novel therapeutic tool. Methods Triple‐negative breast cancer data were obtained from The Cancer Genome Atlas (TCGA), and subtype analysis was performed by consistent clustering analysis to identify molecular subtypes of TNBC according to UPS characteristics. Differential analysis, COX and least absolute shrinkage and selection operator (LASSO) COX regression analyses were performed to select genes associated with overall survival in TNBC. The final prognostic model (UPS score) was determined using the LASSO COX model. The model performance was assessed using receiver operating characteristic (ROC) curves and survival curves. In addition, the results of the UPS score on analyzing the abundance of immune cell infiltration and immunotherapy were explored. Finally, we developed a nomogram for TNBC survival prediction. Results Two UPS subtypes (UPSMS1 and UPSMS2) showing significant survival differences were classified. COX regression analysis on differentially expressed genes in UPSMS1 and UPSMS2 filtered five genes that affected overall survival. Based on the regression coefficients and expression data of the five genes, we built a prognostic assessment system (UPS score). The UPS score showed consistent prognostic and therapeutic guidance values. Finally, the ROC curve of the nomogram and UPS score showed the highest predictive efficacy compared with traditional clinical prognostic indicators. Conclusion The UPS score represented a promising prognostic tool to predict overall survival and immune status and guide personalized treatment selection in TNBC patients, and this study may provide a more practical alternative for clinical monitoring and management of TNBC. Identification of the ubiquitin–proteasome system signature for predicting prognosis and therapeutic guidance in triple‐negative breast cancer: In this study, two molecular subtypes (UPSMS1 and UPSMS2) were identified by analyzing the ubiquitin–proteasome system (UPS) genes in triple‐negative breast cancer (TNBC). A prognostic model of TNBC (UPS score) was constructed based on the differentially expressed genes in UPSMS1 and UPSMS2, and the immune status and affected biological pathways in UPSMSs and UPS groups were compared.</description><subject>chemotherapy sensitivity</subject><subject>Cytoplasm</subject><subject>Humans</subject><subject>Immunotherapy</subject><subject>immunotherapy response</subject><subject>prognosis</subject><subject>Proteasome Endopeptidase Complex - genetics</subject><subject>Triple Negative Breast Neoplasms - genetics</subject><subject>Triple Negative Breast Neoplasms - therapy</subject><subject>triple‐negative breast cancer</subject><subject>Ubiquitins</subject><subject>ubiquitin‐proteasome system</subject><subject>UPS score</subject><issn>1099-498X</issn><issn>1521-2254</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><recordid>eNp1kctu1TAQhi1URC8g9QkqL9mk2I6dxMuqV1ARG5DYRb5MUldJnNrOqc6uj8Bb8F48CQ49wKqrmfF88_-yfoSOKTmlhLAP9_14WoqGv0IHVDBaMCb4Xu6JlAWXzfd9dBjjPSG0bhr5Bu2XdUWELPkB-nkBGxj8PMKUsO-wmvCi3cPikpt-Pf2Yg0-goh8Bx21MMOLo-kmlJQDufMBzAOtMZvvc-n7y0cWsYddp4-z6nu4gqBmW5AzuF2fVZHa3KrnsGvGjS3c4BTcPkC0n6PNiA1iH7JywWQ_CW_S6U0OEd7t6hL5dXX49vyluv1x_PD-7LUxJK14IVoMWSmpWAaONzZXXVlAulNLMCAIcNNMUwKqSWG0E16TTNRG0qaAS5RF6_6ybP_CwQEzt6KKBYVAT-CW2rBFcVpLJ-j9qgo8xQNfOwY0qbFtK2jWWNsfSrrFk9GSnuugR7D_wbw4ZKJ6BRzfA9kWh9tP15z-CvwGzn55-</recordid><startdate>202401</startdate><enddate>202401</enddate><creator>Chen, Xiaoqing</creator><creator>Ren, Chongyang</creator><creator>Zhou, Zhisheng</creator><creator>Chen, Jiewen</creator><creator>Fan, Xulong</creator><creator>Li, Xiangzhi</creator><creator>Chen, Jintao</creator><creator>Zhu, Jing</creator><scope>24P</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>202401</creationdate><title>Development of an ubiquitin‐proteasome system signature for predicting prognosis and providing therapeutic guidance for patients with triple‐negative breast cancer</title><author>Chen, Xiaoqing ; Ren, Chongyang ; Zhou, Zhisheng ; Chen, Jiewen ; Fan, Xulong ; Li, Xiangzhi ; Chen, Jintao ; Zhu, Jing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3164-527eb5a9b26e218db2647d5145aab2c50e4eb2b1eeda30dbc54b0fb705186e653</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>chemotherapy sensitivity</topic><topic>Cytoplasm</topic><topic>Humans</topic><topic>Immunotherapy</topic><topic>immunotherapy response</topic><topic>prognosis</topic><topic>Proteasome Endopeptidase Complex - genetics</topic><topic>Triple Negative Breast Neoplasms - genetics</topic><topic>Triple Negative Breast Neoplasms - therapy</topic><topic>triple‐negative breast cancer</topic><topic>Ubiquitins</topic><topic>ubiquitin‐proteasome system</topic><topic>UPS score</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Xiaoqing</creatorcontrib><creatorcontrib>Ren, Chongyang</creatorcontrib><creatorcontrib>Zhou, Zhisheng</creatorcontrib><creatorcontrib>Chen, Jiewen</creatorcontrib><creatorcontrib>Fan, Xulong</creatorcontrib><creatorcontrib>Li, Xiangzhi</creatorcontrib><creatorcontrib>Chen, Jintao</creatorcontrib><creatorcontrib>Zhu, Jing</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>The journal of gene medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Xiaoqing</au><au>Ren, Chongyang</au><au>Zhou, Zhisheng</au><au>Chen, Jiewen</au><au>Fan, Xulong</au><au>Li, Xiangzhi</au><au>Chen, Jintao</au><au>Zhu, Jing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of an ubiquitin‐proteasome system signature for predicting prognosis and providing therapeutic guidance for patients with triple‐negative breast cancer</atitle><jtitle>The journal of gene medicine</jtitle><addtitle>J Gene Med</addtitle><date>2024-01</date><risdate>2024</risdate><volume>26</volume><issue>1</issue><spage>e3584</spage><epage>n/a</epage><pages>e3584-n/a</pages><issn>1099-498X</issn><eissn>1521-2254</eissn><abstract>Background Triple‐negative breast cancer (TNBC) is a pathological subtype with a high mortality, and the development of inhibitors in the ubiquitin–proteasome system (UPS) component could be a novel therapeutic tool. Methods Triple‐negative breast cancer data were obtained from The Cancer Genome Atlas (TCGA), and subtype analysis was performed by consistent clustering analysis to identify molecular subtypes of TNBC according to UPS characteristics. Differential analysis, COX and least absolute shrinkage and selection operator (LASSO) COX regression analyses were performed to select genes associated with overall survival in TNBC. The final prognostic model (UPS score) was determined using the LASSO COX model. The model performance was assessed using receiver operating characteristic (ROC) curves and survival curves. In addition, the results of the UPS score on analyzing the abundance of immune cell infiltration and immunotherapy were explored. Finally, we developed a nomogram for TNBC survival prediction. Results Two UPS subtypes (UPSMS1 and UPSMS2) showing significant survival differences were classified. COX regression analysis on differentially expressed genes in UPSMS1 and UPSMS2 filtered five genes that affected overall survival. Based on the regression coefficients and expression data of the five genes, we built a prognostic assessment system (UPS score). The UPS score showed consistent prognostic and therapeutic guidance values. Finally, the ROC curve of the nomogram and UPS score showed the highest predictive efficacy compared with traditional clinical prognostic indicators. Conclusion The UPS score represented a promising prognostic tool to predict overall survival and immune status and guide personalized treatment selection in TNBC patients, and this study may provide a more practical alternative for clinical monitoring and management of TNBC. Identification of the ubiquitin–proteasome system signature for predicting prognosis and therapeutic guidance in triple‐negative breast cancer: In this study, two molecular subtypes (UPSMS1 and UPSMS2) were identified by analyzing the ubiquitin–proteasome system (UPS) genes in triple‐negative breast cancer (TNBC). A prognostic model of TNBC (UPS score) was constructed based on the differentially expressed genes in UPSMS1 and UPSMS2, and the immune status and affected biological pathways in UPSMSs and UPS groups were compared.</abstract><cop>England</cop><pmid>37605934</pmid><doi>10.1002/jgm.3584</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1099-498X
ispartof The journal of gene medicine, 2024-01, Vol.26 (1), p.e3584-n/a
issn 1099-498X
1521-2254
language eng
recordid cdi_proquest_miscellaneous_2854969297
source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects chemotherapy sensitivity
Cytoplasm
Humans
Immunotherapy
immunotherapy response
prognosis
Proteasome Endopeptidase Complex - genetics
Triple Negative Breast Neoplasms - genetics
Triple Negative Breast Neoplasms - therapy
triple‐negative breast cancer
Ubiquitins
ubiquitin‐proteasome system
UPS score
title Development of an ubiquitin‐proteasome system signature for predicting prognosis and providing therapeutic guidance for patients with triple‐negative breast cancer
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T07%3A17%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Development%20of%20an%20ubiquitin%E2%80%90proteasome%20system%20signature%20for%20predicting%20prognosis%20and%20providing%20therapeutic%20guidance%20for%20patients%20with%20triple%E2%80%90negative%20breast%20cancer&rft.jtitle=The%20journal%20of%20gene%20medicine&rft.au=Chen,%20Xiaoqing&rft.date=2024-01&rft.volume=26&rft.issue=1&rft.spage=e3584&rft.epage=n/a&rft.pages=e3584-n/a&rft.issn=1099-498X&rft.eissn=1521-2254&rft_id=info:doi/10.1002/jgm.3584&rft_dat=%3Cproquest_cross%3E2854969297%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2854969297&rft_id=info:pmid/37605934&rfr_iscdi=true