The Pyroptosis-Related Risk Genes APOBEC3D, TNFRSF14, and RAC2 Were Used to Evaluate Prognosis and as Tumor Suppressor Genes in Breast Cancer
Background. Pyroptosis is a type of cell death that plays an important role in predicting prognosis and immunoregulation in cancers. However, the pyroptosis-related gene signature for prognosis and immune infiltration prediction has not been studied in breast cancer (BC). Methods. The Gene Expressio...
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description | Background. Pyroptosis is a type of cell death that plays an important role in predicting prognosis and immunoregulation in cancers. However, the pyroptosis-related gene signature for prognosis and immune infiltration prediction has not been studied in breast cancer (BC). Methods. The Gene Expression Omnibus (GEO) and Cancer Genome Atlas (TCGA) databases were used to obtain the expression and clinical data of genes. 52 pyroptosis-related genes were obtained from TCGA-BC and estimated differentially expressed genes by the limma program. To categorize the molecular subtypes of pyroptosis-related genes, the ConsensusClusterPlus tool was utilized. Cox and Lasso regression analyses were used to create a signature. TCGA-BC dataset as the training set and the GSE37751 test set for risk research. Gene set enrichment analysis (GSEA) was used to conduct KEGG and GO studies of subtype groups. We also used the ssGSEA approach in the GSVA package to calculate the risk score of immune cells. Finally, pyroptosis-related genes in BC were validated using qPCR and immunohistochemical assays. Clone formation and EDU assays were used to explore the ability of signature genes to regulate the proliferation of BC cells. Results. Based on pyroptosis-related genes, the C1 and C2 subtypes were obtained. Survival analysis results showed that the C2 group had a better prognosis. Then, a three-gene signature (APOBEC3D, TNFRSF14, and RAC2) were created by Lasso regression analysis, which had a good prediction effect in the TCGA-BC and GSE37751 datasets. Our nomogram has a fair degree of accuracy in predicting the survival rates of BC patients. The pyroptosis-related signature has a good predictive effect in evaluating the tumour microenvironment score, 28 types of immune cells and response to immune checkpoint therapy. Finally, qPCR and immunohistochemistry staining results indicated that APOBEC3D, TNFRSF14, and RAC2 expression in BC tissues was low. The results of clone formation and EdU assays showed that high expression of signature genes inhibited the proliferation ability of BC cells. Conclusions. Based on pyroptosis-related genes (APOBEC3D, TNFRSF14, and RAC2), we built a novel prognostic molecular model for BC that might be used to assess prognostic risk and immune infiltration in BC patients. These signature genes are also tumor suppressor genes and may serve as potential targets for BC. |
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fullrecord | <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9436599</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A716148003</galeid><sourcerecordid>A716148003</sourcerecordid><originalsourceid>FETCH-LOGICAL-c453t-3c5e2117b2445440ae3c58e95190da0024faf5d0034f763b3d9b6c57533460a63</originalsourceid><addsrcrecordid>eNp9kstuEzEUhkcIREthxwNYYoNEhvo-4w1SOiQFqaJRmoql5cycSVwmdmrPFPUh-s51mojbgpWP7O98x0f6s-wtwR8JEeKUYkpPmaSiUPhZdkxkWeQlF_j5H_VR9irGG4wlx0q-zI6YxEKVuDzOHhZrQLP74Le9jzbmc-hMDw2a2_gDnYODiMazy7NJxT6P0OLbdH41JXyEjEvIuKLoOwRA1zF19B5N7kw3pHY0C37ldr4n0ES0GDY-oKthuw0QYyr3auvQWQATe1QZV0N4nb1oTRfhzeE8ya6nk0X1Jb-4PP9ajS_ymgvW56wWQAkplpRzwTk2kG5KUIIo3BiMKW9NKxqMGW8LyZasUUtZi0IwxiU2kp1kn_be7bDcQFOD64Pp9DbYjQn32hur_35xdq1X_k4rzqRQKgneHwTB3w4Qe72xsYauMw78EDUtsFKEKsET-u4f9MYPwaX1niihioKWv6mV6UBb1_o0t95J9bggkvAybZOo0Z6qg48xQPvrywTrXRr0Lg36kIaEf9jja-sa89P-n34EwlOuwA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2709597728</pqid></control><display><type>article</type><title>The Pyroptosis-Related Risk Genes APOBEC3D, TNFRSF14, and RAC2 Were Used to Evaluate Prognosis and as Tumor Suppressor Genes in Breast Cancer</title><source>Wiley Open Access</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>EZB Electronic Journals Library</source><source>PubMed Central Open Access</source><creator>Chen, Qian ; Jun, He ; Yang, ChengGuang ; Yang, Feng ; Xu, YingJie</creator><contributor>Zheng, Mingjun</contributor><creatorcontrib>Chen, Qian ; Jun, He ; Yang, ChengGuang ; Yang, Feng ; Xu, YingJie ; Zheng, Mingjun</creatorcontrib><description>Background. Pyroptosis is a type of cell death that plays an important role in predicting prognosis and immunoregulation in cancers. However, the pyroptosis-related gene signature for prognosis and immune infiltration prediction has not been studied in breast cancer (BC). Methods. The Gene Expression Omnibus (GEO) and Cancer Genome Atlas (TCGA) databases were used to obtain the expression and clinical data of genes. 52 pyroptosis-related genes were obtained from TCGA-BC and estimated differentially expressed genes by the limma program. To categorize the molecular subtypes of pyroptosis-related genes, the ConsensusClusterPlus tool was utilized. Cox and Lasso regression analyses were used to create a signature. TCGA-BC dataset as the training set and the GSE37751 test set for risk research. Gene set enrichment analysis (GSEA) was used to conduct KEGG and GO studies of subtype groups. We also used the ssGSEA approach in the GSVA package to calculate the risk score of immune cells. Finally, pyroptosis-related genes in BC were validated using qPCR and immunohistochemical assays. Clone formation and EDU assays were used to explore the ability of signature genes to regulate the proliferation of BC cells. Results. Based on pyroptosis-related genes, the C1 and C2 subtypes were obtained. Survival analysis results showed that the C2 group had a better prognosis. Then, a three-gene signature (APOBEC3D, TNFRSF14, and RAC2) were created by Lasso regression analysis, which had a good prediction effect in the TCGA-BC and GSE37751 datasets. Our nomogram has a fair degree of accuracy in predicting the survival rates of BC patients. The pyroptosis-related signature has a good predictive effect in evaluating the tumour microenvironment score, 28 types of immune cells and response to immune checkpoint therapy. Finally, qPCR and immunohistochemistry staining results indicated that APOBEC3D, TNFRSF14, and RAC2 expression in BC tissues was low. The results of clone formation and EdU assays showed that high expression of signature genes inhibited the proliferation ability of BC cells. Conclusions. Based on pyroptosis-related genes (APOBEC3D, TNFRSF14, and RAC2), we built a novel prognostic molecular model for BC that might be used to assess prognostic risk and immune infiltration in BC patients. These signature genes are also tumor suppressor genes and may serve as potential targets for BC.</description><identifier>ISSN: 1687-8450</identifier><identifier>EISSN: 1687-8450</identifier><identifier>DOI: 10.1155/2022/3625790</identifier><identifier>PMID: 36059808</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Antibodies ; Breast cancer ; Cancer ; Cancer therapies ; Cell death ; Datasets ; Gene expression ; Genes ; Genetic aspects ; Genomes ; Genomics ; Immunohistochemistry ; Medical prognosis ; Medical research ; Nomograms ; Oncology, Experimental ; Software</subject><ispartof>Journal of oncology, 2022-08, Vol.2022, p.1-14</ispartof><rights>Copyright © 2022 Qian Chen et al.</rights><rights>COPYRIGHT 2022 John Wiley & Sons, Inc.</rights><rights>Copyright © 2022 Qian Chen et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2022 Qian Chen et al. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c453t-3c5e2117b2445440ae3c58e95190da0024faf5d0034f763b3d9b6c57533460a63</citedby><cites>FETCH-LOGICAL-c453t-3c5e2117b2445440ae3c58e95190da0024faf5d0034f763b3d9b6c57533460a63</cites><orcidid>0000-0002-3718-5497 ; 0000-0002-3680-2908 ; 0000-0001-5656-2051 ; 0000-0002-1841-6325 ; 0000-0003-3133-9667</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/PMC9436599/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436599/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids></links><search><contributor>Zheng, Mingjun</contributor><creatorcontrib>Chen, Qian</creatorcontrib><creatorcontrib>Jun, He</creatorcontrib><creatorcontrib>Yang, ChengGuang</creatorcontrib><creatorcontrib>Yang, Feng</creatorcontrib><creatorcontrib>Xu, YingJie</creatorcontrib><title>The Pyroptosis-Related Risk Genes APOBEC3D, TNFRSF14, and RAC2 Were Used to Evaluate Prognosis and as Tumor Suppressor Genes in Breast Cancer</title><title>Journal of oncology</title><description>Background. Pyroptosis is a type of cell death that plays an important role in predicting prognosis and immunoregulation in cancers. However, the pyroptosis-related gene signature for prognosis and immune infiltration prediction has not been studied in breast cancer (BC). Methods. The Gene Expression Omnibus (GEO) and Cancer Genome Atlas (TCGA) databases were used to obtain the expression and clinical data of genes. 52 pyroptosis-related genes were obtained from TCGA-BC and estimated differentially expressed genes by the limma program. To categorize the molecular subtypes of pyroptosis-related genes, the ConsensusClusterPlus tool was utilized. Cox and Lasso regression analyses were used to create a signature. TCGA-BC dataset as the training set and the GSE37751 test set for risk research. Gene set enrichment analysis (GSEA) was used to conduct KEGG and GO studies of subtype groups. We also used the ssGSEA approach in the GSVA package to calculate the risk score of immune cells. Finally, pyroptosis-related genes in BC were validated using qPCR and immunohistochemical assays. Clone formation and EDU assays were used to explore the ability of signature genes to regulate the proliferation of BC cells. Results. Based on pyroptosis-related genes, the C1 and C2 subtypes were obtained. Survival analysis results showed that the C2 group had a better prognosis. Then, a three-gene signature (APOBEC3D, TNFRSF14, and RAC2) were created by Lasso regression analysis, which had a good prediction effect in the TCGA-BC and GSE37751 datasets. Our nomogram has a fair degree of accuracy in predicting the survival rates of BC patients. The pyroptosis-related signature has a good predictive effect in evaluating the tumour microenvironment score, 28 types of immune cells and response to immune checkpoint therapy. Finally, qPCR and immunohistochemistry staining results indicated that APOBEC3D, TNFRSF14, and RAC2 expression in BC tissues was low. The results of clone formation and EdU assays showed that high expression of signature genes inhibited the proliferation ability of BC cells. Conclusions. Based on pyroptosis-related genes (APOBEC3D, TNFRSF14, and RAC2), we built a novel prognostic molecular model for BC that might be used to assess prognostic risk and immune infiltration in BC patients. These signature genes are also tumor suppressor genes and may serve as potential targets for BC.</description><subject>Antibodies</subject><subject>Breast cancer</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Cell death</subject><subject>Datasets</subject><subject>Gene expression</subject><subject>Genes</subject><subject>Genetic aspects</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Immunohistochemistry</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Nomograms</subject><subject>Oncology, Experimental</subject><subject>Software</subject><issn>1687-8450</issn><issn>1687-8450</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kstuEzEUhkcIREthxwNYYoNEhvo-4w1SOiQFqaJRmoql5cycSVwmdmrPFPUh-s51mojbgpWP7O98x0f6s-wtwR8JEeKUYkpPmaSiUPhZdkxkWeQlF_j5H_VR9irGG4wlx0q-zI6YxEKVuDzOHhZrQLP74Le9jzbmc-hMDw2a2_gDnYODiMazy7NJxT6P0OLbdH41JXyEjEvIuKLoOwRA1zF19B5N7kw3pHY0C37ldr4n0ES0GDY-oKthuw0QYyr3auvQWQATe1QZV0N4nb1oTRfhzeE8ya6nk0X1Jb-4PP9ajS_ymgvW56wWQAkplpRzwTk2kG5KUIIo3BiMKW9NKxqMGW8LyZasUUtZi0IwxiU2kp1kn_be7bDcQFOD64Pp9DbYjQn32hur_35xdq1X_k4rzqRQKgneHwTB3w4Qe72xsYauMw78EDUtsFKEKsET-u4f9MYPwaX1niihioKWv6mV6UBb1_o0t95J9bggkvAybZOo0Z6qg48xQPvrywTrXRr0Lg36kIaEf9jja-sa89P-n34EwlOuwA</recordid><startdate>20220825</startdate><enddate>20220825</enddate><creator>Chen, Qian</creator><creator>Jun, He</creator><creator>Yang, ChengGuang</creator><creator>Yang, Feng</creator><creator>Xu, YingJie</creator><general>Hindawi</general><general>John Wiley & Sons, Inc</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3718-5497</orcidid><orcidid>https://orcid.org/0000-0002-3680-2908</orcidid><orcidid>https://orcid.org/0000-0001-5656-2051</orcidid><orcidid>https://orcid.org/0000-0002-1841-6325</orcidid><orcidid>https://orcid.org/0000-0003-3133-9667</orcidid></search><sort><creationdate>20220825</creationdate><title>The Pyroptosis-Related Risk Genes APOBEC3D, TNFRSF14, and RAC2 Were Used to Evaluate Prognosis and as Tumor Suppressor Genes in Breast Cancer</title><author>Chen, Qian ; Jun, He ; Yang, ChengGuang ; Yang, Feng ; Xu, YingJie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-3c5e2117b2445440ae3c58e95190da0024faf5d0034f763b3d9b6c57533460a63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Antibodies</topic><topic>Breast cancer</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Cell death</topic><topic>Datasets</topic><topic>Gene expression</topic><topic>Genes</topic><topic>Genetic aspects</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Immunohistochemistry</topic><topic>Medical prognosis</topic><topic>Medical research</topic><topic>Nomograms</topic><topic>Oncology, Experimental</topic><topic>Software</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Qian</creatorcontrib><creatorcontrib>Jun, He</creatorcontrib><creatorcontrib>Yang, ChengGuang</creatorcontrib><creatorcontrib>Yang, Feng</creatorcontrib><creatorcontrib>Xu, YingJie</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of oncology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Qian</au><au>Jun, He</au><au>Yang, ChengGuang</au><au>Yang, Feng</au><au>Xu, YingJie</au><au>Zheng, Mingjun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Pyroptosis-Related Risk Genes APOBEC3D, TNFRSF14, and RAC2 Were Used to Evaluate Prognosis and as Tumor Suppressor Genes in Breast Cancer</atitle><jtitle>Journal of oncology</jtitle><date>2022-08-25</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>14</epage><pages>1-14</pages><issn>1687-8450</issn><eissn>1687-8450</eissn><abstract>Background. Pyroptosis is a type of cell death that plays an important role in predicting prognosis and immunoregulation in cancers. However, the pyroptosis-related gene signature for prognosis and immune infiltration prediction has not been studied in breast cancer (BC). Methods. The Gene Expression Omnibus (GEO) and Cancer Genome Atlas (TCGA) databases were used to obtain the expression and clinical data of genes. 52 pyroptosis-related genes were obtained from TCGA-BC and estimated differentially expressed genes by the limma program. To categorize the molecular subtypes of pyroptosis-related genes, the ConsensusClusterPlus tool was utilized. Cox and Lasso regression analyses were used to create a signature. TCGA-BC dataset as the training set and the GSE37751 test set for risk research. Gene set enrichment analysis (GSEA) was used to conduct KEGG and GO studies of subtype groups. We also used the ssGSEA approach in the GSVA package to calculate the risk score of immune cells. Finally, pyroptosis-related genes in BC were validated using qPCR and immunohistochemical assays. Clone formation and EDU assays were used to explore the ability of signature genes to regulate the proliferation of BC cells. Results. Based on pyroptosis-related genes, the C1 and C2 subtypes were obtained. Survival analysis results showed that the C2 group had a better prognosis. Then, a three-gene signature (APOBEC3D, TNFRSF14, and RAC2) were created by Lasso regression analysis, which had a good prediction effect in the TCGA-BC and GSE37751 datasets. Our nomogram has a fair degree of accuracy in predicting the survival rates of BC patients. The pyroptosis-related signature has a good predictive effect in evaluating the tumour microenvironment score, 28 types of immune cells and response to immune checkpoint therapy. Finally, qPCR and immunohistochemistry staining results indicated that APOBEC3D, TNFRSF14, and RAC2 expression in BC tissues was low. The results of clone formation and EdU assays showed that high expression of signature genes inhibited the proliferation ability of BC cells. Conclusions. Based on pyroptosis-related genes (APOBEC3D, TNFRSF14, and RAC2), we built a novel prognostic molecular model for BC that might be used to assess prognostic risk and immune infiltration in BC patients. These signature genes are also tumor suppressor genes and may serve as potential targets for BC.</abstract><cop>New York</cop><pub>Hindawi</pub><pmid>36059808</pmid><doi>10.1155/2022/3625790</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0002-3718-5497</orcidid><orcidid>https://orcid.org/0000-0002-3680-2908</orcidid><orcidid>https://orcid.org/0000-0001-5656-2051</orcidid><orcidid>https://orcid.org/0000-0002-1841-6325</orcidid><orcidid>https://orcid.org/0000-0003-3133-9667</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Antibodies Breast cancer Cancer Cancer therapies Cell death Datasets Gene expression Genes Genetic aspects Genomes Genomics Immunohistochemistry Medical prognosis Medical research Nomograms Oncology, Experimental Software |
title | The Pyroptosis-Related Risk Genes APOBEC3D, TNFRSF14, and RAC2 Were Used to Evaluate Prognosis and as Tumor Suppressor Genes in Breast Cancer |
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