Time-to-Progression of NSCLC from Early to Advanced Stages: An Analysis of data from SEER Registry and a Single Institute

The average time required for cancers to progress through stages can be reflected in the average age of the patients diagnosed at each stage of disease. To estimate the time it takes for non-small-cell lung cancer (NSCLC) to progress through different tumor, node and metastasis (TNM) stages and size...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Scientific reports 2016-06, Vol.6 (1), p.28477-28477, Article 28477
Hauptverfasser: Yuan, Ping, Cao, Jin Lin, Rustam, Azmat, Zhang, Chong, Yuan, Xiao Shuai, Bao, Fei Chao, Lv, Wang, Hu, Jian
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 28477
container_issue 1
container_start_page 28477
container_title Scientific reports
container_volume 6
creator Yuan, Ping
Cao, Jin Lin
Rustam, Azmat
Zhang, Chong
Yuan, Xiao Shuai
Bao, Fei Chao
Lv, Wang
Hu, Jian
description The average time required for cancers to progress through stages can be reflected in the average age of the patients diagnosed at each stage of disease. To estimate the time it takes for non-small-cell lung cancer (NSCLC) to progress through different tumor, node and metastasis (TNM) stages and sizes, we compared the mean adjusted age of 45904 NSCLC patients with different stages and tumor sizes from Surveillance, Epidemiology and End Results (SEER) cancer registry database and our institute. Multiple-linear-regression models for age were generated adjusting for various factors. Caucasian, African-American and Asian patients with stage IA cancers were on average 0.8, 1.0 and 1.38 adjusted years younger, respectively, than those with stage IIIB cancers (p 
doi_str_mv 10.1038/srep28477
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4921917</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1800128921</sourcerecordid><originalsourceid>FETCH-LOGICAL-c438t-d957e1ff9c1df58409053f4e8cf15bc446a715a8469ece994b34f1485a574f193</originalsourceid><addsrcrecordid>eNplkVFrFDEQx4MottQ--AUk4IsKq0k2uU18EI7j1MKh0qvPIbc7WVN2kzPJFvbbm3r1OHUIzMD85p9h_gg9p-QtJbV8lyLsmeRN8widM8JFxWrGHp_UZ-gypVtSQjDFqXqKzlhT8wWrF-dovnEjVDlU32LoI6TkgsfB4i_b1WaFbQwjXps4zDgHvOzujG-hw9tsekjv8dKXZ4Y5uXQ_05lsDiPb9foaX0PvUo4zNr7DBm-d7wfAVz5ll6cMz9ATa4YElw_5An3_uL5Zfa42Xz9drZabquW1zFWnRAPUWtXSzgrJiSKithxka6nYtZwvTEOFkXyhoAWl-K7mlnIpjGhKoeoL9OGgu592I3Qt-BzNoPfRjSbOOhin_-5490P34U5zxaiiTRF49SAQw88JUtajSy0Mg_EQpqSpJIQyWeiCvvwHvQ1TLCf6TYlyc05koV4fqDaGVOyzx2Uo0fee6qOnhX1xuv2R_ONgAd4cgFRavod48uV_ar8ASq2qRA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1805462408</pqid></control><display><type>article</type><title>Time-to-Progression of NSCLC from Early to Advanced Stages: An Analysis of data from SEER Registry and a Single Institute</title><source>MEDLINE</source><source>Nature Free</source><source>DOAJ Directory of Open Access Journals</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><source>Springer Nature OA Free Journals</source><creator>Yuan, Ping ; Cao, Jin Lin ; Rustam, Azmat ; Zhang, Chong ; Yuan, Xiao Shuai ; Bao, Fei Chao ; Lv, Wang ; Hu, Jian</creator><creatorcontrib>Yuan, Ping ; Cao, Jin Lin ; Rustam, Azmat ; Zhang, Chong ; Yuan, Xiao Shuai ; Bao, Fei Chao ; Lv, Wang ; Hu, Jian</creatorcontrib><description>The average time required for cancers to progress through stages can be reflected in the average age of the patients diagnosed at each stage of disease. To estimate the time it takes for non-small-cell lung cancer (NSCLC) to progress through different tumor, node and metastasis (TNM) stages and sizes, we compared the mean adjusted age of 45904 NSCLC patients with different stages and tumor sizes from Surveillance, Epidemiology and End Results (SEER) cancer registry database and our institute. Multiple-linear-regression models for age were generated adjusting for various factors. Caucasian, African-American and Asian patients with stage IA cancers were on average 0.8, 1.0 and 1.38 adjusted years younger, respectively, than those with stage IIIB cancers (p &lt; 0.001). And these with T1a cancers were on average 0.84, 0.92 and 1.21 adjusted years younger, respectively, than patients with T3 cancers (p &lt; 0.001). Patients with tumors measuring larger than 8 cm in diameter were on average 0.85 adjusted years older than these with tumors smaller than 1 cm (p &lt; 0.001), with Caucasian demonstrating the shortest age span (0.79 years, P &lt; 0.001). In conclusion, the time-to-progression of NSCLC from early to advanced stages varied among ethnicities, Caucasian patients demonstrating a more rapid progression nature of tumor than their African-American and Asian counterparts.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/srep28477</identifier><identifier>PMID: 27346236</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/4028/67/1612/1350 ; 692/699/67/1612/1350 ; Adult ; African Americans ; Aged ; Aged, 80 and over ; Asian people ; Black or African American ; Carcinoma, Non-Small-Cell Lung - pathology ; Disease Progression ; Epidemiology ; Ethnicity ; Female ; Humanities and Social Sciences ; Humans ; Lung cancer ; Lung Neoplasms - pathology ; Male ; Males ; Medical screening ; Middle Aged ; multidisciplinary ; Neoplasm Staging - methods ; Patients ; Registries ; Regression analysis ; Science ; Science (multidisciplinary) ; SEER Program ; Surveillance ; Tumors ; White People</subject><ispartof>Scientific reports, 2016-06, Vol.6 (1), p.28477-28477, Article 28477</ispartof><rights>The Author(s) 2016</rights><rights>Copyright Nature Publishing Group Jun 2016</rights><rights>Copyright © 2016, Macmillan Publishers Limited 2016 Macmillan Publishers Limited</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-d957e1ff9c1df58409053f4e8cf15bc446a715a8469ece994b34f1485a574f193</citedby><cites>FETCH-LOGICAL-c438t-d957e1ff9c1df58409053f4e8cf15bc446a715a8469ece994b34f1485a574f193</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/PMC4921917/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4921917/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,41096,42165,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27346236$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Yuan, Ping</creatorcontrib><creatorcontrib>Cao, Jin Lin</creatorcontrib><creatorcontrib>Rustam, Azmat</creatorcontrib><creatorcontrib>Zhang, Chong</creatorcontrib><creatorcontrib>Yuan, Xiao Shuai</creatorcontrib><creatorcontrib>Bao, Fei Chao</creatorcontrib><creatorcontrib>Lv, Wang</creatorcontrib><creatorcontrib>Hu, Jian</creatorcontrib><title>Time-to-Progression of NSCLC from Early to Advanced Stages: An Analysis of data from SEER Registry and a Single Institute</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>The average time required for cancers to progress through stages can be reflected in the average age of the patients diagnosed at each stage of disease. To estimate the time it takes for non-small-cell lung cancer (NSCLC) to progress through different tumor, node and metastasis (TNM) stages and sizes, we compared the mean adjusted age of 45904 NSCLC patients with different stages and tumor sizes from Surveillance, Epidemiology and End Results (SEER) cancer registry database and our institute. Multiple-linear-regression models for age were generated adjusting for various factors. Caucasian, African-American and Asian patients with stage IA cancers were on average 0.8, 1.0 and 1.38 adjusted years younger, respectively, than those with stage IIIB cancers (p &lt; 0.001). And these with T1a cancers were on average 0.84, 0.92 and 1.21 adjusted years younger, respectively, than patients with T3 cancers (p &lt; 0.001). Patients with tumors measuring larger than 8 cm in diameter were on average 0.85 adjusted years older than these with tumors smaller than 1 cm (p &lt; 0.001), with Caucasian demonstrating the shortest age span (0.79 years, P &lt; 0.001). In conclusion, the time-to-progression of NSCLC from early to advanced stages varied among ethnicities, Caucasian patients demonstrating a more rapid progression nature of tumor than their African-American and Asian counterparts.</description><subject>692/4028/67/1612/1350</subject><subject>692/699/67/1612/1350</subject><subject>Adult</subject><subject>African Americans</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Asian people</subject><subject>Black or African American</subject><subject>Carcinoma, Non-Small-Cell Lung - pathology</subject><subject>Disease Progression</subject><subject>Epidemiology</subject><subject>Ethnicity</subject><subject>Female</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Lung cancer</subject><subject>Lung Neoplasms - pathology</subject><subject>Male</subject><subject>Males</subject><subject>Medical screening</subject><subject>Middle Aged</subject><subject>multidisciplinary</subject><subject>Neoplasm Staging - methods</subject><subject>Patients</subject><subject>Registries</subject><subject>Regression analysis</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>SEER Program</subject><subject>Surveillance</subject><subject>Tumors</subject><subject>White People</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNplkVFrFDEQx4MottQ--AUk4IsKq0k2uU18EI7j1MKh0qvPIbc7WVN2kzPJFvbbm3r1OHUIzMD85p9h_gg9p-QtJbV8lyLsmeRN8widM8JFxWrGHp_UZ-gypVtSQjDFqXqKzlhT8wWrF-dovnEjVDlU32LoI6TkgsfB4i_b1WaFbQwjXps4zDgHvOzujG-hw9tsekjv8dKXZ4Y5uXQ_05lsDiPb9foaX0PvUo4zNr7DBm-d7wfAVz5ll6cMz9ATa4YElw_5An3_uL5Zfa42Xz9drZabquW1zFWnRAPUWtXSzgrJiSKithxka6nYtZwvTEOFkXyhoAWl-K7mlnIpjGhKoeoL9OGgu592I3Qt-BzNoPfRjSbOOhin_-5490P34U5zxaiiTRF49SAQw88JUtajSy0Mg_EQpqSpJIQyWeiCvvwHvQ1TLCf6TYlyc05koV4fqDaGVOyzx2Uo0fee6qOnhX1xuv2R_ONgAd4cgFRavod48uV_ar8ASq2qRA</recordid><startdate>20160627</startdate><enddate>20160627</enddate><creator>Yuan, Ping</creator><creator>Cao, Jin Lin</creator><creator>Rustam, Azmat</creator><creator>Zhang, Chong</creator><creator>Yuan, Xiao Shuai</creator><creator>Bao, Fei Chao</creator><creator>Lv, Wang</creator><creator>Hu, Jian</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160627</creationdate><title>Time-to-Progression of NSCLC from Early to Advanced Stages: An Analysis of data from SEER Registry and a Single Institute</title><author>Yuan, Ping ; Cao, Jin Lin ; Rustam, Azmat ; Zhang, Chong ; Yuan, Xiao Shuai ; Bao, Fei Chao ; Lv, Wang ; Hu, Jian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c438t-d957e1ff9c1df58409053f4e8cf15bc446a715a8469ece994b34f1485a574f193</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>692/4028/67/1612/1350</topic><topic>692/699/67/1612/1350</topic><topic>Adult</topic><topic>African Americans</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Asian people</topic><topic>Black or African American</topic><topic>Carcinoma, Non-Small-Cell Lung - pathology</topic><topic>Disease Progression</topic><topic>Epidemiology</topic><topic>Ethnicity</topic><topic>Female</topic><topic>Humanities and Social Sciences</topic><topic>Humans</topic><topic>Lung cancer</topic><topic>Lung Neoplasms - pathology</topic><topic>Male</topic><topic>Males</topic><topic>Medical screening</topic><topic>Middle Aged</topic><topic>multidisciplinary</topic><topic>Neoplasm Staging - methods</topic><topic>Patients</topic><topic>Registries</topic><topic>Regression analysis</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>SEER Program</topic><topic>Surveillance</topic><topic>Tumors</topic><topic>White People</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yuan, Ping</creatorcontrib><creatorcontrib>Cao, Jin Lin</creatorcontrib><creatorcontrib>Rustam, Azmat</creatorcontrib><creatorcontrib>Zhang, Chong</creatorcontrib><creatorcontrib>Yuan, Xiao Shuai</creatorcontrib><creatorcontrib>Bao, Fei Chao</creatorcontrib><creatorcontrib>Lv, Wang</creatorcontrib><creatorcontrib>Hu, Jian</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</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 Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</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 Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yuan, Ping</au><au>Cao, Jin Lin</au><au>Rustam, Azmat</au><au>Zhang, Chong</au><au>Yuan, Xiao Shuai</au><au>Bao, Fei Chao</au><au>Lv, Wang</au><au>Hu, Jian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Time-to-Progression of NSCLC from Early to Advanced Stages: An Analysis of data from SEER Registry and a Single Institute</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2016-06-27</date><risdate>2016</risdate><volume>6</volume><issue>1</issue><spage>28477</spage><epage>28477</epage><pages>28477-28477</pages><artnum>28477</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>The average time required for cancers to progress through stages can be reflected in the average age of the patients diagnosed at each stage of disease. To estimate the time it takes for non-small-cell lung cancer (NSCLC) to progress through different tumor, node and metastasis (TNM) stages and sizes, we compared the mean adjusted age of 45904 NSCLC patients with different stages and tumor sizes from Surveillance, Epidemiology and End Results (SEER) cancer registry database and our institute. Multiple-linear-regression models for age were generated adjusting for various factors. Caucasian, African-American and Asian patients with stage IA cancers were on average 0.8, 1.0 and 1.38 adjusted years younger, respectively, than those with stage IIIB cancers (p &lt; 0.001). And these with T1a cancers were on average 0.84, 0.92 and 1.21 adjusted years younger, respectively, than patients with T3 cancers (p &lt; 0.001). Patients with tumors measuring larger than 8 cm in diameter were on average 0.85 adjusted years older than these with tumors smaller than 1 cm (p &lt; 0.001), with Caucasian demonstrating the shortest age span (0.79 years, P &lt; 0.001). In conclusion, the time-to-progression of NSCLC from early to advanced stages varied among ethnicities, Caucasian patients demonstrating a more rapid progression nature of tumor than their African-American and Asian counterparts.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>27346236</pmid><doi>10.1038/srep28477</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2045-2322
ispartof Scientific reports, 2016-06, Vol.6 (1), p.28477-28477, Article 28477
issn 2045-2322
2045-2322
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_4921917
source MEDLINE; Nature Free; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry; Springer Nature OA Free Journals
subjects 692/4028/67/1612/1350
692/699/67/1612/1350
Adult
African Americans
Aged
Aged, 80 and over
Asian people
Black or African American
Carcinoma, Non-Small-Cell Lung - pathology
Disease Progression
Epidemiology
Ethnicity
Female
Humanities and Social Sciences
Humans
Lung cancer
Lung Neoplasms - pathology
Male
Males
Medical screening
Middle Aged
multidisciplinary
Neoplasm Staging - methods
Patients
Registries
Regression analysis
Science
Science (multidisciplinary)
SEER Program
Surveillance
Tumors
White People
title Time-to-Progression of NSCLC from Early to Advanced Stages: An Analysis of data from SEER Registry and a Single Institute
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T16%3A52%3A23IST&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=Time-to-Progression%20of%20NSCLC%20from%20Early%20to%20Advanced%20Stages:%20An%20Analysis%20of%20data%20from%20SEER%20Registry%20and%20a%20Single%20Institute&rft.jtitle=Scientific%20reports&rft.au=Yuan,%20Ping&rft.date=2016-06-27&rft.volume=6&rft.issue=1&rft.spage=28477&rft.epage=28477&rft.pages=28477-28477&rft.artnum=28477&rft.issn=2045-2322&rft.eissn=2045-2322&rft_id=info:doi/10.1038/srep28477&rft_dat=%3Cproquest_pubme%3E1800128921%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=1805462408&rft_id=info:pmid/27346236&rfr_iscdi=true