Immunoprofile-based subgrouping of urothelial bladder carcinomas for survival prediction
Summary One of the major challenges in bladder cancer management is in distinguishing aggressive from indolent tumors with similar clinicopathological factors, especially in cases of high-grade T1 stage tumors. To define a set of prognostic factors that can be easily assessed in clinical practice wi...
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creator | Kim, Kyungeun, MD, PhD Sung, Chang Ohk, MD, PhD Park, Bong-Hee, MD, PhD Ku, Ja Yoon, MD Go, Heounjeong, MD, PhD Ro, Jae Y., MD, PhD Kim, Jiyoon, MD Cho, Yong Mee, MD, PhD |
description | Summary One of the major challenges in bladder cancer management is in distinguishing aggressive from indolent tumors with similar clinicopathological factors, especially in cases of high-grade T1 stage tumors. To define a set of prognostic factors that can be easily assessed in clinical practice with a high cost-effectiveness, the expressions of 11 proteins were examined immunohistochemically in 403 cases of transurethral resection of bladder tumors, then correlated to clinical outcomes. Based on the protein immunoprofiles, urothelial carcinomas were divided into 4 intrinsic molecular subgroups with different clinical outcomes: subgroups 1 and 4 with the poorest survival, subgroup 2 with the best survival, and subgroup 3 with the intermediate survival outcome. The protein expression patterns of the 4 subgroups were mutually exclusive: overexpression of p53, EZH2, E2F1, and IMP3 and high Ki-67 proliferation index in subgroup 1; overexpression of cytoplasmic survivin in subgroup 4; overexpression of membranous TSP1 and cytoplasmic p27 in subgroup 2; and no representative protein overexpression in subgroup 3. Using these protein immunoprofiles, 3 risk groups were generated, which predicted disease-specific survival not only in total bladder carcinoma cases with 0.737 of predictive accuracy but also in high-grade stage T1 tumors with 0.658 of predictive accuracy. These results showed that urothelial carcinomas were composed of 4 clinically relevant molecular subgroups based on protein expression and that overall survival of those patients could be predicted using a set of a small number of protein expressions not only in total cases but also in high-grade stage T1 tumors. |
doi_str_mv | 10.1016/j.humpath.2015.06.003 |
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To define a set of prognostic factors that can be easily assessed in clinical practice with a high cost-effectiveness, the expressions of 11 proteins were examined immunohistochemically in 403 cases of transurethral resection of bladder tumors, then correlated to clinical outcomes. Based on the protein immunoprofiles, urothelial carcinomas were divided into 4 intrinsic molecular subgroups with different clinical outcomes: subgroups 1 and 4 with the poorest survival, subgroup 2 with the best survival, and subgroup 3 with the intermediate survival outcome. The protein expression patterns of the 4 subgroups were mutually exclusive: overexpression of p53, EZH2, E2F1, and IMP3 and high Ki-67 proliferation index in subgroup 1; overexpression of cytoplasmic survivin in subgroup 4; overexpression of membranous TSP1 and cytoplasmic p27 in subgroup 2; and no representative protein overexpression in subgroup 3. Using these protein immunoprofiles, 3 risk groups were generated, which predicted disease-specific survival not only in total bladder carcinoma cases with 0.737 of predictive accuracy but also in high-grade stage T1 tumors with 0.658 of predictive accuracy. These results showed that urothelial carcinomas were composed of 4 clinically relevant molecular subgroups based on protein expression and that overall survival of those patients could be predicted using a set of a small number of protein expressions not only in total cases but also in high-grade stage T1 tumors.</description><identifier>ISSN: 0046-8177</identifier><identifier>EISSN: 1532-8392</identifier><identifier>DOI: 10.1016/j.humpath.2015.06.003</identifier><identifier>PMID: 26232864</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Antigens ; Biomarkers ; Biomarkers, Tumor - analysis ; Biopsy ; Bladder cancer ; Carcinoma, Transitional Cell - classification ; Carcinoma, Transitional Cell - mortality ; Carcinoma, Transitional Cell - pathology ; Cell cycle ; Cluster Analysis ; Construction ; Cyclin-dependent kinases ; Cytoplasm ; Female ; Gene expression ; Humans ; Immunohistochemistry ; Kinases ; Male ; Metastasis ; Middle Aged ; Molecular subtype ; Pathology ; Prognosis ; Proportional Hazards Models ; Protein expression ; Proteins ; Retrospective Studies ; Rodents ; Studies ; Tissue Array Analysis ; Tumors ; Urinary Bladder Neoplasms - classification ; Urinary Bladder Neoplasms - mortality ; Urinary Bladder Neoplasms - pathology ; Urothelial carcinoma ; Young Adult</subject><ispartof>Human pathology, 2015-10, Vol.46 (10), p.1464-1470</ispartof><rights>Elsevier Inc.</rights><rights>2015 Elsevier Inc.</rights><rights>Copyright © 2015 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited Oct 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c448t-40b22ccf87b35a22da95fb14526debf5d5d9e1e02c5694b6528f0957906c14ab3</citedby><cites>FETCH-LOGICAL-c448t-40b22ccf87b35a22da95fb14526debf5d5d9e1e02c5694b6528f0957906c14ab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0046817715002087$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26232864$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Kyungeun, MD, PhD</creatorcontrib><creatorcontrib>Sung, Chang Ohk, MD, PhD</creatorcontrib><creatorcontrib>Park, Bong-Hee, MD, PhD</creatorcontrib><creatorcontrib>Ku, Ja Yoon, MD</creatorcontrib><creatorcontrib>Go, Heounjeong, MD, PhD</creatorcontrib><creatorcontrib>Ro, Jae Y., MD, PhD</creatorcontrib><creatorcontrib>Kim, Jiyoon, MD</creatorcontrib><creatorcontrib>Cho, Yong Mee, MD, PhD</creatorcontrib><title>Immunoprofile-based subgrouping of urothelial bladder carcinomas for survival prediction</title><title>Human pathology</title><addtitle>Hum Pathol</addtitle><description>Summary One of the major challenges in bladder cancer management is in distinguishing aggressive from indolent tumors with similar clinicopathological factors, especially in cases of high-grade T1 stage tumors. To define a set of prognostic factors that can be easily assessed in clinical practice with a high cost-effectiveness, the expressions of 11 proteins were examined immunohistochemically in 403 cases of transurethral resection of bladder tumors, then correlated to clinical outcomes. Based on the protein immunoprofiles, urothelial carcinomas were divided into 4 intrinsic molecular subgroups with different clinical outcomes: subgroups 1 and 4 with the poorest survival, subgroup 2 with the best survival, and subgroup 3 with the intermediate survival outcome. The protein expression patterns of the 4 subgroups were mutually exclusive: overexpression of p53, EZH2, E2F1, and IMP3 and high Ki-67 proliferation index in subgroup 1; overexpression of cytoplasmic survivin in subgroup 4; overexpression of membranous TSP1 and cytoplasmic p27 in subgroup 2; and no representative protein overexpression in subgroup 3. Using these protein immunoprofiles, 3 risk groups were generated, which predicted disease-specific survival not only in total bladder carcinoma cases with 0.737 of predictive accuracy but also in high-grade stage T1 tumors with 0.658 of predictive accuracy. These results showed that urothelial carcinomas were composed of 4 clinically relevant molecular subgroups based on protein expression and that overall survival of those patients could be predicted using a set of a small number of protein expressions not only in total cases but also in high-grade stage T1 tumors.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Antigens</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - analysis</subject><subject>Biopsy</subject><subject>Bladder cancer</subject><subject>Carcinoma, Transitional Cell - classification</subject><subject>Carcinoma, Transitional Cell - mortality</subject><subject>Carcinoma, Transitional Cell - pathology</subject><subject>Cell cycle</subject><subject>Cluster Analysis</subject><subject>Construction</subject><subject>Cyclin-dependent kinases</subject><subject>Cytoplasm</subject><subject>Female</subject><subject>Gene expression</subject><subject>Humans</subject><subject>Immunohistochemistry</subject><subject>Kinases</subject><subject>Male</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Molecular subtype</subject><subject>Pathology</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Protein expression</subject><subject>Proteins</subject><subject>Retrospective Studies</subject><subject>Rodents</subject><subject>Studies</subject><subject>Tissue Array Analysis</subject><subject>Tumors</subject><subject>Urinary Bladder Neoplasms - classification</subject><subject>Urinary Bladder Neoplasms - mortality</subject><subject>Urinary Bladder Neoplasms - pathology</subject><subject>Urothelial carcinoma</subject><subject>Young Adult</subject><issn>0046-8177</issn><issn>1532-8392</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1u1DAUhS1ERYfCI4AisWGTcG3HTrIBVRU_lSp1UZDYWf656XhI4mAnI_Xt69EMIHXDygt_59j3u4S8oVBRoPLDrtqu46yXbcWAigpkBcCfkQ0VnJUt79hzsgGoZdnSpjknL1PaAVAqavGCnDPJOGtlvSE_r8dxncIcQ-8HLI1O6Iq0mvsY1tlP90XoizWGZYuD10NhBu0cxsLqaP0URp2KPsQciHu_z_dzROft4sP0ipz1ekj4-nRekB9fPn-_-lbe3H69vrq8KW1dt0tZg2HM2r5tDBeaMac70RtaCyYdml444TqkCMwK2dVGCtb20ImmA2lprQ2_IO-PvXmE3yumRY0-WRwGPWFYk6INlR1njZQZffcE3YU1Tvl3mWKUN5TzLlPiSNkYUorYqzn6UccHRUEd1KudOqlXB_UKpMrqc-7tqX01I7q_qT-uM_DpCGDWsfcYVbIeJ5uNRbSLcsH_94mPTxrs4Cdv9fALHzD9m0YlpkDdHfZ_WD8VAAzahj8CKPWtNw</recordid><startdate>20151001</startdate><enddate>20151001</enddate><creator>Kim, Kyungeun, MD, PhD</creator><creator>Sung, Chang Ohk, MD, PhD</creator><creator>Park, Bong-Hee, MD, PhD</creator><creator>Ku, Ja Yoon, MD</creator><creator>Go, Heounjeong, MD, PhD</creator><creator>Ro, Jae Y., MD, PhD</creator><creator>Kim, Jiyoon, MD</creator><creator>Cho, Yong Mee, MD, PhD</creator><general>Elsevier Inc</general><general>Elsevier Limited</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>K9.</scope><scope>7X8</scope></search><sort><creationdate>20151001</creationdate><title>Immunoprofile-based subgrouping of urothelial bladder carcinomas for survival prediction</title><author>Kim, Kyungeun, MD, PhD ; Sung, Chang Ohk, MD, PhD ; Park, Bong-Hee, MD, PhD ; Ku, Ja Yoon, MD ; Go, Heounjeong, MD, PhD ; Ro, Jae Y., MD, PhD ; Kim, Jiyoon, MD ; Cho, Yong Mee, MD, PhD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-40b22ccf87b35a22da95fb14526debf5d5d9e1e02c5694b6528f0957906c14ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Antigens</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - analysis</topic><topic>Biopsy</topic><topic>Bladder cancer</topic><topic>Carcinoma, Transitional Cell - classification</topic><topic>Carcinoma, Transitional Cell - mortality</topic><topic>Carcinoma, Transitional Cell - pathology</topic><topic>Cell cycle</topic><topic>Cluster Analysis</topic><topic>Construction</topic><topic>Cyclin-dependent kinases</topic><topic>Cytoplasm</topic><topic>Female</topic><topic>Gene expression</topic><topic>Humans</topic><topic>Immunohistochemistry</topic><topic>Kinases</topic><topic>Male</topic><topic>Metastasis</topic><topic>Middle Aged</topic><topic>Molecular subtype</topic><topic>Pathology</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Protein expression</topic><topic>Proteins</topic><topic>Retrospective Studies</topic><topic>Rodents</topic><topic>Studies</topic><topic>Tissue Array Analysis</topic><topic>Tumors</topic><topic>Urinary Bladder Neoplasms - classification</topic><topic>Urinary Bladder Neoplasms - mortality</topic><topic>Urinary Bladder Neoplasms - pathology</topic><topic>Urothelial carcinoma</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Kyungeun, MD, PhD</creatorcontrib><creatorcontrib>Sung, Chang Ohk, MD, PhD</creatorcontrib><creatorcontrib>Park, Bong-Hee, MD, PhD</creatorcontrib><creatorcontrib>Ku, Ja Yoon, MD</creatorcontrib><creatorcontrib>Go, Heounjeong, MD, PhD</creatorcontrib><creatorcontrib>Ro, Jae Y., MD, PhD</creatorcontrib><creatorcontrib>Kim, Jiyoon, MD</creatorcontrib><creatorcontrib>Cho, Yong Mee, MD, PhD</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Human pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Kyungeun, MD, PhD</au><au>Sung, Chang Ohk, MD, PhD</au><au>Park, Bong-Hee, MD, PhD</au><au>Ku, Ja Yoon, MD</au><au>Go, Heounjeong, MD, PhD</au><au>Ro, Jae Y., MD, PhD</au><au>Kim, Jiyoon, MD</au><au>Cho, Yong Mee, MD, PhD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Immunoprofile-based subgrouping of urothelial bladder carcinomas for survival prediction</atitle><jtitle>Human pathology</jtitle><addtitle>Hum Pathol</addtitle><date>2015-10-01</date><risdate>2015</risdate><volume>46</volume><issue>10</issue><spage>1464</spage><epage>1470</epage><pages>1464-1470</pages><issn>0046-8177</issn><eissn>1532-8392</eissn><abstract>Summary One of the major challenges in bladder cancer management is in distinguishing aggressive from indolent tumors with similar clinicopathological factors, especially in cases of high-grade T1 stage tumors. To define a set of prognostic factors that can be easily assessed in clinical practice with a high cost-effectiveness, the expressions of 11 proteins were examined immunohistochemically in 403 cases of transurethral resection of bladder tumors, then correlated to clinical outcomes. Based on the protein immunoprofiles, urothelial carcinomas were divided into 4 intrinsic molecular subgroups with different clinical outcomes: subgroups 1 and 4 with the poorest survival, subgroup 2 with the best survival, and subgroup 3 with the intermediate survival outcome. The protein expression patterns of the 4 subgroups were mutually exclusive: overexpression of p53, EZH2, E2F1, and IMP3 and high Ki-67 proliferation index in subgroup 1; overexpression of cytoplasmic survivin in subgroup 4; overexpression of membranous TSP1 and cytoplasmic p27 in subgroup 2; and no representative protein overexpression in subgroup 3. Using these protein immunoprofiles, 3 risk groups were generated, which predicted disease-specific survival not only in total bladder carcinoma cases with 0.737 of predictive accuracy but also in high-grade stage T1 tumors with 0.658 of predictive accuracy. These results showed that urothelial carcinomas were composed of 4 clinically relevant molecular subgroups based on protein expression and that overall survival of those patients could be predicted using a set of a small number of protein expressions not only in total cases but also in high-grade stage T1 tumors.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>26232864</pmid><doi>10.1016/j.humpath.2015.06.003</doi><tpages>7</tpages></addata></record> |
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subjects | Adult Aged Aged, 80 and over Antigens Biomarkers Biomarkers, Tumor - analysis Biopsy Bladder cancer Carcinoma, Transitional Cell - classification Carcinoma, Transitional Cell - mortality Carcinoma, Transitional Cell - pathology Cell cycle Cluster Analysis Construction Cyclin-dependent kinases Cytoplasm Female Gene expression Humans Immunohistochemistry Kinases Male Metastasis Middle Aged Molecular subtype Pathology Prognosis Proportional Hazards Models Protein expression Proteins Retrospective Studies Rodents Studies Tissue Array Analysis Tumors Urinary Bladder Neoplasms - classification Urinary Bladder Neoplasms - mortality Urinary Bladder Neoplasms - pathology Urothelial carcinoma Young Adult |
title | Immunoprofile-based subgrouping of urothelial bladder carcinomas for survival prediction |
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