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...
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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. |
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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> |
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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 |
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