Comparative evaluation of three proliferation markers, Ki-67, TOP2A, and RacGAP1, in bronchopulmonary neuroendocrine neoplasms: Issues and prospects

The classification of bronchopulmonary neuroendocrine neoplasms (BP-NEN) into four tumor entities (typical carcinoids (TC), atypical carcinoids (AC), small cell lung cancers (SCLC), large cell neuroendocrine lung carcinomas (LCNEC)) is difficult to perform accurately, but important for prognostic st...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Oncotarget 2016-07, Vol.7 (27), p.41959-41973
Hauptverfasser: Neubauer, Elisa, Wirtz, Ralph M, Kaemmerer, Daniel, Athelogou, Maria, Schmidt, Lydia, Sänger, Jörg, Lupp, Amelie
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 41973
container_issue 27
container_start_page 41959
container_title Oncotarget
container_volume 7
creator Neubauer, Elisa
Wirtz, Ralph M
Kaemmerer, Daniel
Athelogou, Maria
Schmidt, Lydia
Sänger, Jörg
Lupp, Amelie
description The classification of bronchopulmonary neuroendocrine neoplasms (BP-NEN) into four tumor entities (typical carcinoids (TC), atypical carcinoids (AC), small cell lung cancers (SCLC), large cell neuroendocrine lung carcinomas (LCNEC)) is difficult to perform accurately, but important for prognostic statements and therapeutic management decisions. In this regard, we compared the expression of three proliferation markers, Ki-67, Topoisomerase II alpha (TOP2A), and RacGAP1, in a series of tumor samples from 104 BP-NEN patients (24 TC, 21 AC, 52 SCLC, 7 LCNEC) using different evaluation methods (immunohistochemistry (IHC): Average evaluation, Hotspot evaluation, digital image analysis; RT-qPCR).The results indicated that all three markers had increased protein and mRNA expression with poorer differentiation and correlated well with each other, as well as with grading, staging, and poor survival. Compared with Ki-67 and TOP2A, RacGAP1 allowed for a clearer prognostic statement. The cut-off limits obtained for Ki-67-Average (IHC) were TC-AC 1.5, AC-SCLC 19, and AC-LCNEC 23.5. The Hotspot evaluation generated equal to higher, the digital image analysis generally lower between-entity cut-off limits.All three markers enabled a clear-cut differentiation between the BP-NEN entities, and all methods evaluated were suitable for marker assessment. However, to define optimal cut-off limits, the Ki-67 evaluation methods should be standardized. RacGAP1 appeared to be a new marker with great potential.
doi_str_mv 10.18632/oncotarget.9747
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5173108</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1826690221</sourcerecordid><originalsourceid>FETCH-LOGICAL-c354t-a5db2b3b957577b95a93d2e562b7f4a940dff13b427794b3440ff301276a1f723</originalsourceid><addsrcrecordid>eNpVUU1P3DAQtapWBW2591T52MMG_Bmve6i0WlFAIIEqeracZMy6TezUTlbif_CDa1hK6Vzm-808PYQ-UnJMVzVnJzG0cbLpDqZjrYR6gw6pFrpiUvK3r-IDdJTzT1JMCrVi-j06YIpJzQQ9RA-bOIw22cnvAMPO9nMJY8DR4WmbAPCYYu8dpH15sOkXpLzEl76q1RLfXt-w9RLb0OHvtj1b39Al9gE3qfy2jePcDzHYdI8DzClC6GKbfICSxrG3echf8EXOM-QnhHIqj9BO-QN652yf4ejZL9CPb6e3m_Pq6vrsYrO-qlouxVRZ2TWs4Y2WSipVnNW8YyBr1ignrBakc47yRjCltGi4EMQ5TihTtaVOMb5AX_e449wM0LUQpmR7MyZfeN6baL35vxP81tzFnZFUcUpWBeDzM0CKvwuNyQw-t9D3tjCcs6ErVteaMEbLKNmPtoVlTuBezlBinvQ0__Q0j3qWlU-v33tZ-Kse_wMSJaEy</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1826690221</pqid></control><display><type>article</type><title>Comparative evaluation of three proliferation markers, Ki-67, TOP2A, and RacGAP1, in bronchopulmonary neuroendocrine neoplasms: Issues and prospects</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>PubMed Central</source><source>Free E- Journals</source><source>PubMed Central Open Access</source><creator>Neubauer, Elisa ; Wirtz, Ralph M ; Kaemmerer, Daniel ; Athelogou, Maria ; Schmidt, Lydia ; Sänger, Jörg ; Lupp, Amelie</creator><creatorcontrib>Neubauer, Elisa ; Wirtz, Ralph M ; Kaemmerer, Daniel ; Athelogou, Maria ; Schmidt, Lydia ; Sänger, Jörg ; Lupp, Amelie</creatorcontrib><description>The classification of bronchopulmonary neuroendocrine neoplasms (BP-NEN) into four tumor entities (typical carcinoids (TC), atypical carcinoids (AC), small cell lung cancers (SCLC), large cell neuroendocrine lung carcinomas (LCNEC)) is difficult to perform accurately, but important for prognostic statements and therapeutic management decisions. In this regard, we compared the expression of three proliferation markers, Ki-67, Topoisomerase II alpha (TOP2A), and RacGAP1, in a series of tumor samples from 104 BP-NEN patients (24 TC, 21 AC, 52 SCLC, 7 LCNEC) using different evaluation methods (immunohistochemistry (IHC): Average evaluation, Hotspot evaluation, digital image analysis; RT-qPCR).The results indicated that all three markers had increased protein and mRNA expression with poorer differentiation and correlated well with each other, as well as with grading, staging, and poor survival. Compared with Ki-67 and TOP2A, RacGAP1 allowed for a clearer prognostic statement. The cut-off limits obtained for Ki-67-Average (IHC) were TC-AC 1.5, AC-SCLC 19, and AC-LCNEC 23.5. The Hotspot evaluation generated equal to higher, the digital image analysis generally lower between-entity cut-off limits.All three markers enabled a clear-cut differentiation between the BP-NEN entities, and all methods evaluated were suitable for marker assessment. However, to define optimal cut-off limits, the Ki-67 evaluation methods should be standardized. RacGAP1 appeared to be a new marker with great potential.</description><identifier>ISSN: 1949-2553</identifier><identifier>EISSN: 1949-2553</identifier><identifier>DOI: 10.18632/oncotarget.9747</identifier><identifier>PMID: 27259241</identifier><language>eng</language><publisher>United States: Impact Journals LLC</publisher><subject>Biomarkers, Tumor - genetics ; Biomarkers, Tumor - metabolism ; Carcinoid Tumor - diagnosis ; Carcinoid Tumor - genetics ; Carcinoid Tumor - metabolism ; Carcinoma, Large Cell - diagnosis ; Carcinoma, Large Cell - genetics ; Carcinoma, Large Cell - metabolism ; DNA Topoisomerases, Type II - genetics ; DNA Topoisomerases, Type II - metabolism ; Gene Expression Regulation, Neoplastic - drug effects ; Gene Expression Regulation, Neoplastic - radiation effects ; GTPase-Activating Proteins - genetics ; GTPase-Activating Proteins - metabolism ; Humans ; Kaplan-Meier Estimate ; Ki-67 Antigen - genetics ; Ki-67 Antigen - metabolism ; Lung - drug effects ; Lung - pathology ; Lung - radiation effects ; Lung Neoplasms - diagnosis ; Lung Neoplasms - genetics ; Lung Neoplasms - metabolism ; Neoplasm Grading ; Neoplasm Staging ; Neuroendocrine Tumors - diagnosis ; Neuroendocrine Tumors - genetics ; Neuroendocrine Tumors - metabolism ; Poly-ADP-Ribose Binding Proteins - genetics ; Poly-ADP-Ribose Binding Proteins - metabolism ; Prognosis ; Research Paper ; Small Cell Lung Carcinoma - diagnosis ; Small Cell Lung Carcinoma - genetics ; Small Cell Lung Carcinoma - metabolism</subject><ispartof>Oncotarget, 2016-07, Vol.7 (27), p.41959-41973</ispartof><rights>Copyright: © 2016 Neubauer et al. 2016</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c354t-a5db2b3b957577b95a93d2e562b7f4a940dff13b427794b3440ff301276a1f723</citedby><cites>FETCH-LOGICAL-c354t-a5db2b3b957577b95a93d2e562b7f4a940dff13b427794b3440ff301276a1f723</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/PMC5173108/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5173108/$$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/27259241$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Neubauer, Elisa</creatorcontrib><creatorcontrib>Wirtz, Ralph M</creatorcontrib><creatorcontrib>Kaemmerer, Daniel</creatorcontrib><creatorcontrib>Athelogou, Maria</creatorcontrib><creatorcontrib>Schmidt, Lydia</creatorcontrib><creatorcontrib>Sänger, Jörg</creatorcontrib><creatorcontrib>Lupp, Amelie</creatorcontrib><title>Comparative evaluation of three proliferation markers, Ki-67, TOP2A, and RacGAP1, in bronchopulmonary neuroendocrine neoplasms: Issues and prospects</title><title>Oncotarget</title><addtitle>Oncotarget</addtitle><description>The classification of bronchopulmonary neuroendocrine neoplasms (BP-NEN) into four tumor entities (typical carcinoids (TC), atypical carcinoids (AC), small cell lung cancers (SCLC), large cell neuroendocrine lung carcinomas (LCNEC)) is difficult to perform accurately, but important for prognostic statements and therapeutic management decisions. In this regard, we compared the expression of three proliferation markers, Ki-67, Topoisomerase II alpha (TOP2A), and RacGAP1, in a series of tumor samples from 104 BP-NEN patients (24 TC, 21 AC, 52 SCLC, 7 LCNEC) using different evaluation methods (immunohistochemistry (IHC): Average evaluation, Hotspot evaluation, digital image analysis; RT-qPCR).The results indicated that all three markers had increased protein and mRNA expression with poorer differentiation and correlated well with each other, as well as with grading, staging, and poor survival. Compared with Ki-67 and TOP2A, RacGAP1 allowed for a clearer prognostic statement. The cut-off limits obtained for Ki-67-Average (IHC) were TC-AC 1.5, AC-SCLC 19, and AC-LCNEC 23.5. The Hotspot evaluation generated equal to higher, the digital image analysis generally lower between-entity cut-off limits.All three markers enabled a clear-cut differentiation between the BP-NEN entities, and all methods evaluated were suitable for marker assessment. However, to define optimal cut-off limits, the Ki-67 evaluation methods should be standardized. RacGAP1 appeared to be a new marker with great potential.</description><subject>Biomarkers, Tumor - genetics</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Carcinoid Tumor - diagnosis</subject><subject>Carcinoid Tumor - genetics</subject><subject>Carcinoid Tumor - metabolism</subject><subject>Carcinoma, Large Cell - diagnosis</subject><subject>Carcinoma, Large Cell - genetics</subject><subject>Carcinoma, Large Cell - metabolism</subject><subject>DNA Topoisomerases, Type II - genetics</subject><subject>DNA Topoisomerases, Type II - metabolism</subject><subject>Gene Expression Regulation, Neoplastic - drug effects</subject><subject>Gene Expression Regulation, Neoplastic - radiation effects</subject><subject>GTPase-Activating Proteins - genetics</subject><subject>GTPase-Activating Proteins - metabolism</subject><subject>Humans</subject><subject>Kaplan-Meier Estimate</subject><subject>Ki-67 Antigen - genetics</subject><subject>Ki-67 Antigen - metabolism</subject><subject>Lung - drug effects</subject><subject>Lung - pathology</subject><subject>Lung - radiation effects</subject><subject>Lung Neoplasms - diagnosis</subject><subject>Lung Neoplasms - genetics</subject><subject>Lung Neoplasms - metabolism</subject><subject>Neoplasm Grading</subject><subject>Neoplasm Staging</subject><subject>Neuroendocrine Tumors - diagnosis</subject><subject>Neuroendocrine Tumors - genetics</subject><subject>Neuroendocrine Tumors - metabolism</subject><subject>Poly-ADP-Ribose Binding Proteins - genetics</subject><subject>Poly-ADP-Ribose Binding Proteins - metabolism</subject><subject>Prognosis</subject><subject>Research Paper</subject><subject>Small Cell Lung Carcinoma - diagnosis</subject><subject>Small Cell Lung Carcinoma - genetics</subject><subject>Small Cell Lung Carcinoma - metabolism</subject><issn>1949-2553</issn><issn>1949-2553</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUU1P3DAQtapWBW2591T52MMG_Bmve6i0WlFAIIEqeracZMy6TezUTlbif_CDa1hK6Vzm-808PYQ-UnJMVzVnJzG0cbLpDqZjrYR6gw6pFrpiUvK3r-IDdJTzT1JMCrVi-j06YIpJzQQ9RA-bOIw22cnvAMPO9nMJY8DR4WmbAPCYYu8dpH15sOkXpLzEl76q1RLfXt-w9RLb0OHvtj1b39Al9gE3qfy2jePcDzHYdI8DzClC6GKbfICSxrG3echf8EXOM-QnhHIqj9BO-QN652yf4ejZL9CPb6e3m_Pq6vrsYrO-qlouxVRZ2TWs4Y2WSipVnNW8YyBr1ignrBakc47yRjCltGi4EMQ5TihTtaVOMb5AX_e449wM0LUQpmR7MyZfeN6baL35vxP81tzFnZFUcUpWBeDzM0CKvwuNyQw-t9D3tjCcs6ErVteaMEbLKNmPtoVlTuBezlBinvQ0__Q0j3qWlU-v33tZ-Kse_wMSJaEy</recordid><startdate>20160705</startdate><enddate>20160705</enddate><creator>Neubauer, Elisa</creator><creator>Wirtz, Ralph M</creator><creator>Kaemmerer, Daniel</creator><creator>Athelogou, Maria</creator><creator>Schmidt, Lydia</creator><creator>Sänger, Jörg</creator><creator>Lupp, Amelie</creator><general>Impact Journals LLC</general><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><scope>5PM</scope></search><sort><creationdate>20160705</creationdate><title>Comparative evaluation of three proliferation markers, Ki-67, TOP2A, and RacGAP1, in bronchopulmonary neuroendocrine neoplasms: Issues and prospects</title><author>Neubauer, Elisa ; Wirtz, Ralph M ; Kaemmerer, Daniel ; Athelogou, Maria ; Schmidt, Lydia ; Sänger, Jörg ; Lupp, Amelie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c354t-a5db2b3b957577b95a93d2e562b7f4a940dff13b427794b3440ff301276a1f723</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Biomarkers, Tumor - genetics</topic><topic>Biomarkers, Tumor - metabolism</topic><topic>Carcinoid Tumor - diagnosis</topic><topic>Carcinoid Tumor - genetics</topic><topic>Carcinoid Tumor - metabolism</topic><topic>Carcinoma, Large Cell - diagnosis</topic><topic>Carcinoma, Large Cell - genetics</topic><topic>Carcinoma, Large Cell - metabolism</topic><topic>DNA Topoisomerases, Type II - genetics</topic><topic>DNA Topoisomerases, Type II - metabolism</topic><topic>Gene Expression Regulation, Neoplastic - drug effects</topic><topic>Gene Expression Regulation, Neoplastic - radiation effects</topic><topic>GTPase-Activating Proteins - genetics</topic><topic>GTPase-Activating Proteins - metabolism</topic><topic>Humans</topic><topic>Kaplan-Meier Estimate</topic><topic>Ki-67 Antigen - genetics</topic><topic>Ki-67 Antigen - metabolism</topic><topic>Lung - drug effects</topic><topic>Lung - pathology</topic><topic>Lung - radiation effects</topic><topic>Lung Neoplasms - diagnosis</topic><topic>Lung Neoplasms - genetics</topic><topic>Lung Neoplasms - metabolism</topic><topic>Neoplasm Grading</topic><topic>Neoplasm Staging</topic><topic>Neuroendocrine Tumors - diagnosis</topic><topic>Neuroendocrine Tumors - genetics</topic><topic>Neuroendocrine Tumors - metabolism</topic><topic>Poly-ADP-Ribose Binding Proteins - genetics</topic><topic>Poly-ADP-Ribose Binding Proteins - metabolism</topic><topic>Prognosis</topic><topic>Research Paper</topic><topic>Small Cell Lung Carcinoma - diagnosis</topic><topic>Small Cell Lung Carcinoma - genetics</topic><topic>Small Cell Lung Carcinoma - metabolism</topic><toplevel>online_resources</toplevel><creatorcontrib>Neubauer, Elisa</creatorcontrib><creatorcontrib>Wirtz, Ralph M</creatorcontrib><creatorcontrib>Kaemmerer, Daniel</creatorcontrib><creatorcontrib>Athelogou, Maria</creatorcontrib><creatorcontrib>Schmidt, Lydia</creatorcontrib><creatorcontrib>Sänger, Jörg</creatorcontrib><creatorcontrib>Lupp, Amelie</creatorcontrib><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><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oncotarget</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Neubauer, Elisa</au><au>Wirtz, Ralph M</au><au>Kaemmerer, Daniel</au><au>Athelogou, Maria</au><au>Schmidt, Lydia</au><au>Sänger, Jörg</au><au>Lupp, Amelie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparative evaluation of three proliferation markers, Ki-67, TOP2A, and RacGAP1, in bronchopulmonary neuroendocrine neoplasms: Issues and prospects</atitle><jtitle>Oncotarget</jtitle><addtitle>Oncotarget</addtitle><date>2016-07-05</date><risdate>2016</risdate><volume>7</volume><issue>27</issue><spage>41959</spage><epage>41973</epage><pages>41959-41973</pages><issn>1949-2553</issn><eissn>1949-2553</eissn><abstract>The classification of bronchopulmonary neuroendocrine neoplasms (BP-NEN) into four tumor entities (typical carcinoids (TC), atypical carcinoids (AC), small cell lung cancers (SCLC), large cell neuroendocrine lung carcinomas (LCNEC)) is difficult to perform accurately, but important for prognostic statements and therapeutic management decisions. In this regard, we compared the expression of three proliferation markers, Ki-67, Topoisomerase II alpha (TOP2A), and RacGAP1, in a series of tumor samples from 104 BP-NEN patients (24 TC, 21 AC, 52 SCLC, 7 LCNEC) using different evaluation methods (immunohistochemistry (IHC): Average evaluation, Hotspot evaluation, digital image analysis; RT-qPCR).The results indicated that all three markers had increased protein and mRNA expression with poorer differentiation and correlated well with each other, as well as with grading, staging, and poor survival. Compared with Ki-67 and TOP2A, RacGAP1 allowed for a clearer prognostic statement. The cut-off limits obtained for Ki-67-Average (IHC) were TC-AC 1.5, AC-SCLC 19, and AC-LCNEC 23.5. The Hotspot evaluation generated equal to higher, the digital image analysis generally lower between-entity cut-off limits.All three markers enabled a clear-cut differentiation between the BP-NEN entities, and all methods evaluated were suitable for marker assessment. However, to define optimal cut-off limits, the Ki-67 evaluation methods should be standardized. RacGAP1 appeared to be a new marker with great potential.</abstract><cop>United States</cop><pub>Impact Journals LLC</pub><pmid>27259241</pmid><doi>10.18632/oncotarget.9747</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1949-2553
ispartof Oncotarget, 2016-07, Vol.7 (27), p.41959-41973
issn 1949-2553
1949-2553
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5173108
source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free E- Journals; PubMed Central Open Access
subjects Biomarkers, Tumor - genetics
Biomarkers, Tumor - metabolism
Carcinoid Tumor - diagnosis
Carcinoid Tumor - genetics
Carcinoid Tumor - metabolism
Carcinoma, Large Cell - diagnosis
Carcinoma, Large Cell - genetics
Carcinoma, Large Cell - metabolism
DNA Topoisomerases, Type II - genetics
DNA Topoisomerases, Type II - metabolism
Gene Expression Regulation, Neoplastic - drug effects
Gene Expression Regulation, Neoplastic - radiation effects
GTPase-Activating Proteins - genetics
GTPase-Activating Proteins - metabolism
Humans
Kaplan-Meier Estimate
Ki-67 Antigen - genetics
Ki-67 Antigen - metabolism
Lung - drug effects
Lung - pathology
Lung - radiation effects
Lung Neoplasms - diagnosis
Lung Neoplasms - genetics
Lung Neoplasms - metabolism
Neoplasm Grading
Neoplasm Staging
Neuroendocrine Tumors - diagnosis
Neuroendocrine Tumors - genetics
Neuroendocrine Tumors - metabolism
Poly-ADP-Ribose Binding Proteins - genetics
Poly-ADP-Ribose Binding Proteins - metabolism
Prognosis
Research Paper
Small Cell Lung Carcinoma - diagnosis
Small Cell Lung Carcinoma - genetics
Small Cell Lung Carcinoma - metabolism
title Comparative evaluation of three proliferation markers, Ki-67, TOP2A, and RacGAP1, in bronchopulmonary neuroendocrine neoplasms: Issues and prospects
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-30T03%3A29%3A15IST&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=Comparative%20evaluation%20of%20three%20proliferation%20markers,%20Ki-67,%20TOP2A,%20and%20RacGAP1,%20in%20bronchopulmonary%20neuroendocrine%20neoplasms:%20Issues%20and%20prospects&rft.jtitle=Oncotarget&rft.au=Neubauer,%20Elisa&rft.date=2016-07-05&rft.volume=7&rft.issue=27&rft.spage=41959&rft.epage=41973&rft.pages=41959-41973&rft.issn=1949-2553&rft.eissn=1949-2553&rft_id=info:doi/10.18632/oncotarget.9747&rft_dat=%3Cproquest_pubme%3E1826690221%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=1826690221&rft_id=info:pmid/27259241&rfr_iscdi=true