Transforming growth factor β-induced epithelial-to-mesenchymal signature predicts metastasis-free survival in non-small cell lung cancer

Transforming growth factor beta (TGFβ) plays a key role in regulating epithelial-to-mesenchymal transition (EMT). A gene expression signature ( ) associated with TGFβ-induced EMT activities was developed using human Non-Small Cell Lung Carcinoma (NSCLC) cells treated with TGFβ-1 and subjected to Aff...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Oncotarget 2019-01, Vol.10 (8), p.810-824
Hauptverfasser: Gordian, Edna, Welsh, Eric A, Gimbrone, Nicholas, Siegel, Erin M, Shibata, David, Creelan, Ben C, Cress, William Douglas, Eschrich, Steven A, Haura, Eric B, Muñoz-Antonia, Teresita
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 824
container_issue 8
container_start_page 810
container_title Oncotarget
container_volume 10
creator Gordian, Edna
Welsh, Eric A
Gimbrone, Nicholas
Siegel, Erin M
Shibata, David
Creelan, Ben C
Cress, William Douglas
Eschrich, Steven A
Haura, Eric B
Muñoz-Antonia, Teresita
description Transforming growth factor beta (TGFβ) plays a key role in regulating epithelial-to-mesenchymal transition (EMT). A gene expression signature ( ) associated with TGFβ-induced EMT activities was developed using human Non-Small Cell Lung Carcinoma (NSCLC) cells treated with TGFβ-1 and subjected to Affymetrix microarray analysis. The final 105-probeset signature covers 77 genes, and a NanoString assay utilized a subset of 60 of these genes (TGFβ-EMTN signature). We found that the and gene signatures predicted overall survival (OS) and metastasis-free survival (MFS). The TGFβ-EMT signature was validated as prognostic of 5-year MFS in 3 cohorts: a 133 NSCLC tumor dataset ( = 0.0002), a NanoString assays of RNA isolated from formalin-fixed paraffin-embedded samples from these same tumors ( = 0.0015), and a previously published NSCLC MFS dataset ( = 0.0015). The separation between high and low metastasis signature scores was higher at 3 years (ΔMFS = -28.6%; ΔMFS = -25.2%) than at 5 years (ΔMFS = -18.6%; ΔMFS = -11.8%). In addition, the signature correlated with whether the cancer had already metastasized or not at time of surgery in a colon cancer cohort. The results show that the signature successfully discriminated lung cancer cell lines capable of undergoing EMT in response to TGFβ-1 and predicts MFS in lung adenocarcinomas. Thus, the signature has the potential to be developed as a clinically relevant predictive biomarker, for example to identify those patients with resected early stage lung cancer who may benefit from adjuvant therapy.
doi_str_mv 10.18632/oncotarget.26574
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6368226</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2184141729</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3144-8e09f4c5f1708999417d80c340d5d4f3d63d10ed6747a509d42aefcedefe27f83</originalsourceid><addsrcrecordid>eNpVUctuFiEUJkZjm9oHcGNYuqHlNjOwMTGNt6SJm7omCIf5MTPwC8xv-gi-jg_iM4m9WQnhnITvck4-hF4yesbUKPh5Ti43W2ZoZ3wcJvkEHTMtNeHDIJ4-6o_Qaa3faD-DnBTXz9GRoJMSA-PH6OdVsamGXNaYZjyX_KPtcLCu5YJ__yIx-c2Bx7CPbQdLtAtpmaxQIbnd9WoXXOOcbNsK4H0BH12reIVma7-xklAAcN3KIR46NiacciK18xbsoD_L1l2dTQ7KC_Qs2KXC6V09QV_ev7u6-EguP3_4dPH2kjjBpCQKqA7SDYFNVGmtJZu8ok5I6gcvg_Cj8IyCHyc52YFqL7mF0HeAAHwKSpygN7e6--3rCt5BasUuZl_iasu1yTaa_39S3Jk5H8woRsX52AVe3wmU_H2D2swa699tbIK8VcOZkqyPxXWHsluoK7nWAuHBhlFzk6L5l6K5SbFzXj2e74Fxn5n4A4s1oUA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2184141729</pqid></control><display><type>article</type><title>Transforming growth factor β-induced epithelial-to-mesenchymal signature predicts metastasis-free survival in non-small cell lung cancer</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free E- Journals</source><source>PubMed Central Open Access</source><creator>Gordian, Edna ; Welsh, Eric A ; Gimbrone, Nicholas ; Siegel, Erin M ; Shibata, David ; Creelan, Ben C ; Cress, William Douglas ; Eschrich, Steven A ; Haura, Eric B ; Muñoz-Antonia, Teresita</creator><creatorcontrib>Gordian, Edna ; Welsh, Eric A ; Gimbrone, Nicholas ; Siegel, Erin M ; Shibata, David ; Creelan, Ben C ; Cress, William Douglas ; Eschrich, Steven A ; Haura, Eric B ; Muñoz-Antonia, Teresita</creatorcontrib><description>Transforming growth factor beta (TGFβ) plays a key role in regulating epithelial-to-mesenchymal transition (EMT). A gene expression signature ( ) associated with TGFβ-induced EMT activities was developed using human Non-Small Cell Lung Carcinoma (NSCLC) cells treated with TGFβ-1 and subjected to Affymetrix microarray analysis. The final 105-probeset signature covers 77 genes, and a NanoString assay utilized a subset of 60 of these genes (TGFβ-EMTN signature). We found that the and gene signatures predicted overall survival (OS) and metastasis-free survival (MFS). The TGFβ-EMT signature was validated as prognostic of 5-year MFS in 3 cohorts: a 133 NSCLC tumor dataset ( = 0.0002), a NanoString assays of RNA isolated from formalin-fixed paraffin-embedded samples from these same tumors ( = 0.0015), and a previously published NSCLC MFS dataset ( = 0.0015). The separation between high and low metastasis signature scores was higher at 3 years (ΔMFS = -28.6%; ΔMFS = -25.2%) than at 5 years (ΔMFS = -18.6%; ΔMFS = -11.8%). In addition, the signature correlated with whether the cancer had already metastasized or not at time of surgery in a colon cancer cohort. The results show that the signature successfully discriminated lung cancer cell lines capable of undergoing EMT in response to TGFβ-1 and predicts MFS in lung adenocarcinomas. Thus, the signature has the potential to be developed as a clinically relevant predictive biomarker, for example to identify those patients with resected early stage lung cancer who may benefit from adjuvant therapy.</description><identifier>ISSN: 1949-2553</identifier><identifier>EISSN: 1949-2553</identifier><identifier>DOI: 10.18632/oncotarget.26574</identifier><identifier>PMID: 30783512</identifier><language>eng</language><publisher>United States: Impact Journals LLC</publisher><subject>Research Paper</subject><ispartof>Oncotarget, 2019-01, Vol.10 (8), p.810-824</ispartof><rights>Copyright: © 2019 Gordian et al. 2019</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3144-8e09f4c5f1708999417d80c340d5d4f3d63d10ed6747a509d42aefcedefe27f83</citedby><cites>FETCH-LOGICAL-c3144-8e09f4c5f1708999417d80c340d5d4f3d63d10ed6747a509d42aefcedefe27f83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368226/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6368226/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30783512$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gordian, Edna</creatorcontrib><creatorcontrib>Welsh, Eric A</creatorcontrib><creatorcontrib>Gimbrone, Nicholas</creatorcontrib><creatorcontrib>Siegel, Erin M</creatorcontrib><creatorcontrib>Shibata, David</creatorcontrib><creatorcontrib>Creelan, Ben C</creatorcontrib><creatorcontrib>Cress, William Douglas</creatorcontrib><creatorcontrib>Eschrich, Steven A</creatorcontrib><creatorcontrib>Haura, Eric B</creatorcontrib><creatorcontrib>Muñoz-Antonia, Teresita</creatorcontrib><title>Transforming growth factor β-induced epithelial-to-mesenchymal signature predicts metastasis-free survival in non-small cell lung cancer</title><title>Oncotarget</title><addtitle>Oncotarget</addtitle><description>Transforming growth factor beta (TGFβ) plays a key role in regulating epithelial-to-mesenchymal transition (EMT). A gene expression signature ( ) associated with TGFβ-induced EMT activities was developed using human Non-Small Cell Lung Carcinoma (NSCLC) cells treated with TGFβ-1 and subjected to Affymetrix microarray analysis. The final 105-probeset signature covers 77 genes, and a NanoString assay utilized a subset of 60 of these genes (TGFβ-EMTN signature). We found that the and gene signatures predicted overall survival (OS) and metastasis-free survival (MFS). The TGFβ-EMT signature was validated as prognostic of 5-year MFS in 3 cohorts: a 133 NSCLC tumor dataset ( = 0.0002), a NanoString assays of RNA isolated from formalin-fixed paraffin-embedded samples from these same tumors ( = 0.0015), and a previously published NSCLC MFS dataset ( = 0.0015). The separation between high and low metastasis signature scores was higher at 3 years (ΔMFS = -28.6%; ΔMFS = -25.2%) than at 5 years (ΔMFS = -18.6%; ΔMFS = -11.8%). In addition, the signature correlated with whether the cancer had already metastasized or not at time of surgery in a colon cancer cohort. The results show that the signature successfully discriminated lung cancer cell lines capable of undergoing EMT in response to TGFβ-1 and predicts MFS in lung adenocarcinomas. Thus, the signature has the potential to be developed as a clinically relevant predictive biomarker, for example to identify those patients with resected early stage lung cancer who may benefit from adjuvant therapy.</description><subject>Research Paper</subject><issn>1949-2553</issn><issn>1949-2553</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNpVUctuFiEUJkZjm9oHcGNYuqHlNjOwMTGNt6SJm7omCIf5MTPwC8xv-gi-jg_iM4m9WQnhnITvck4-hF4yesbUKPh5Ti43W2ZoZ3wcJvkEHTMtNeHDIJ4-6o_Qaa3faD-DnBTXz9GRoJMSA-PH6OdVsamGXNaYZjyX_KPtcLCu5YJ__yIx-c2Bx7CPbQdLtAtpmaxQIbnd9WoXXOOcbNsK4H0BH12reIVma7-xklAAcN3KIR46NiacciK18xbsoD_L1l2dTQ7KC_Qs2KXC6V09QV_ev7u6-EguP3_4dPH2kjjBpCQKqA7SDYFNVGmtJZu8ok5I6gcvg_Cj8IyCHyc52YFqL7mF0HeAAHwKSpygN7e6--3rCt5BasUuZl_iasu1yTaa_39S3Jk5H8woRsX52AVe3wmU_H2D2swa699tbIK8VcOZkqyPxXWHsluoK7nWAuHBhlFzk6L5l6K5SbFzXj2e74Fxn5n4A4s1oUA</recordid><startdate>20190125</startdate><enddate>20190125</enddate><creator>Gordian, Edna</creator><creator>Welsh, Eric A</creator><creator>Gimbrone, Nicholas</creator><creator>Siegel, Erin M</creator><creator>Shibata, David</creator><creator>Creelan, Ben C</creator><creator>Cress, William Douglas</creator><creator>Eschrich, Steven A</creator><creator>Haura, Eric B</creator><creator>Muñoz-Antonia, Teresita</creator><general>Impact Journals LLC</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20190125</creationdate><title>Transforming growth factor β-induced epithelial-to-mesenchymal signature predicts metastasis-free survival in non-small cell lung cancer</title><author>Gordian, Edna ; Welsh, Eric A ; Gimbrone, Nicholas ; Siegel, Erin M ; Shibata, David ; Creelan, Ben C ; Cress, William Douglas ; Eschrich, Steven A ; Haura, Eric B ; Muñoz-Antonia, Teresita</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3144-8e09f4c5f1708999417d80c340d5d4f3d63d10ed6747a509d42aefcedefe27f83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Research Paper</topic><toplevel>online_resources</toplevel><creatorcontrib>Gordian, Edna</creatorcontrib><creatorcontrib>Welsh, Eric A</creatorcontrib><creatorcontrib>Gimbrone, Nicholas</creatorcontrib><creatorcontrib>Siegel, Erin M</creatorcontrib><creatorcontrib>Shibata, David</creatorcontrib><creatorcontrib>Creelan, Ben C</creatorcontrib><creatorcontrib>Cress, William Douglas</creatorcontrib><creatorcontrib>Eschrich, Steven A</creatorcontrib><creatorcontrib>Haura, Eric B</creatorcontrib><creatorcontrib>Muñoz-Antonia, Teresita</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oncotarget</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gordian, Edna</au><au>Welsh, Eric A</au><au>Gimbrone, Nicholas</au><au>Siegel, Erin M</au><au>Shibata, David</au><au>Creelan, Ben C</au><au>Cress, William Douglas</au><au>Eschrich, Steven A</au><au>Haura, Eric B</au><au>Muñoz-Antonia, Teresita</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transforming growth factor β-induced epithelial-to-mesenchymal signature predicts metastasis-free survival in non-small cell lung cancer</atitle><jtitle>Oncotarget</jtitle><addtitle>Oncotarget</addtitle><date>2019-01-25</date><risdate>2019</risdate><volume>10</volume><issue>8</issue><spage>810</spage><epage>824</epage><pages>810-824</pages><issn>1949-2553</issn><eissn>1949-2553</eissn><abstract>Transforming growth factor beta (TGFβ) plays a key role in regulating epithelial-to-mesenchymal transition (EMT). A gene expression signature ( ) associated with TGFβ-induced EMT activities was developed using human Non-Small Cell Lung Carcinoma (NSCLC) cells treated with TGFβ-1 and subjected to Affymetrix microarray analysis. The final 105-probeset signature covers 77 genes, and a NanoString assay utilized a subset of 60 of these genes (TGFβ-EMTN signature). We found that the and gene signatures predicted overall survival (OS) and metastasis-free survival (MFS). The TGFβ-EMT signature was validated as prognostic of 5-year MFS in 3 cohorts: a 133 NSCLC tumor dataset ( = 0.0002), a NanoString assays of RNA isolated from formalin-fixed paraffin-embedded samples from these same tumors ( = 0.0015), and a previously published NSCLC MFS dataset ( = 0.0015). The separation between high and low metastasis signature scores was higher at 3 years (ΔMFS = -28.6%; ΔMFS = -25.2%) than at 5 years (ΔMFS = -18.6%; ΔMFS = -11.8%). In addition, the signature correlated with whether the cancer had already metastasized or not at time of surgery in a colon cancer cohort. The results show that the signature successfully discriminated lung cancer cell lines capable of undergoing EMT in response to TGFβ-1 and predicts MFS in lung adenocarcinomas. Thus, the signature has the potential to be developed as a clinically relevant predictive biomarker, for example to identify those patients with resected early stage lung cancer who may benefit from adjuvant therapy.</abstract><cop>United States</cop><pub>Impact Journals LLC</pub><pmid>30783512</pmid><doi>10.18632/oncotarget.26574</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1949-2553
ispartof Oncotarget, 2019-01, Vol.10 (8), p.810-824
issn 1949-2553
1949-2553
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6368226
source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free E- Journals; PubMed Central Open Access
subjects Research Paper
title Transforming growth factor β-induced epithelial-to-mesenchymal signature predicts metastasis-free survival in non-small cell lung cancer
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-11T04%3A11%3A54IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Transforming%20growth%20factor%20%CE%B2-induced%20epithelial-to-mesenchymal%20signature%20predicts%20metastasis-free%20survival%20in%20non-small%20cell%20lung%20cancer&rft.jtitle=Oncotarget&rft.au=Gordian,%20Edna&rft.date=2019-01-25&rft.volume=10&rft.issue=8&rft.spage=810&rft.epage=824&rft.pages=810-824&rft.issn=1949-2553&rft.eissn=1949-2553&rft_id=info:doi/10.18632/oncotarget.26574&rft_dat=%3Cproquest_pubme%3E2184141729%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2184141729&rft_id=info:pmid/30783512&rfr_iscdi=true