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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Veröffentlicht in:Human pathology 2015-10, Vol.46 (10), p.1464-1470
Hauptverfasser: 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
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container_end_page 1470
container_issue 10
container_start_page 1464
container_title Human pathology
container_volume 46
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. 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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. 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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.</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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