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...
Gespeichert in:
Veröffentlicht in: | The journal of gene medicine 2024-01, Vol.26 (1), p.e3584-n/a |
---|---|
Hauptverfasser: | , , , , , , , |
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 & Sons Ltd.</rights><rights>2023 The Authors. The Journal of Gene Medicine published by John Wiley & 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 |