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Diagnostic and prognostic implications of a three‐antibody molecular subtyping algorithm for non‐muscle invasive bladder cancer

Intrinsic molecular subtypes may explain marked variation between bladder cancer patients in prognosis and response to therapy. Complex testing algorithms and little attention to more prevalent, early‐stage (non‐muscle invasive) bladder cancers (NMIBCs) have hindered implementation of subtyping in c...

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Autores principales: Jackson, Chelsea L, Chen, Lina, Hardy, Céline SC, Ren, Kevin YM, Visram, Kash, Bratti, Vanessa F, Johnstone, Jeannette, Sjödahl, Gottfrid, Siemens, David Robert, Gooding, Robert J, Berman, David M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822375/
https://www.ncbi.nlm.nih.gov/pubmed/34697907
http://dx.doi.org/10.1002/cjp2.245
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author Jackson, Chelsea L
Chen, Lina
Hardy, Céline SC
Ren, Kevin YM
Visram, Kash
Bratti, Vanessa F
Johnstone, Jeannette
Sjödahl, Gottfrid
Siemens, David Robert
Gooding, Robert J
Berman, David M
author_facet Jackson, Chelsea L
Chen, Lina
Hardy, Céline SC
Ren, Kevin YM
Visram, Kash
Bratti, Vanessa F
Johnstone, Jeannette
Sjödahl, Gottfrid
Siemens, David Robert
Gooding, Robert J
Berman, David M
author_sort Jackson, Chelsea L
collection PubMed
description Intrinsic molecular subtypes may explain marked variation between bladder cancer patients in prognosis and response to therapy. Complex testing algorithms and little attention to more prevalent, early‐stage (non‐muscle invasive) bladder cancers (NMIBCs) have hindered implementation of subtyping in clinical practice. Here, using a three‐antibody immunohistochemistry (IHC) algorithm, we identify the diagnostic and prognostic associations of well‐validated proteomic features of basal and luminal subtypes in NMIBC. By IHC, we divided 481 NMIBCs into basal (GATA3(−)/KRT5(+)) and luminal (GATA3(+)/KRT5 variable) subtypes. We further divided the luminal subtype into URO (p16 low), URO‐KRT5(+) (KRT5(+)), and genomically unstable (GU) (p16 high) subtypes. Expression thresholds were confirmed using unsupervised hierarchical clustering. Subtypes were correlated with pathology and outcomes. All NMIBC cases clustered into the basal/squamous (basal) or one of the three luminal (URO, URO‐KRT5(+), and GU) subtypes. Although uncommon in this NMIBC cohort, basal tumors (3%, n = 16) had dramatically higher grade (100%, n = 16, odds ratio [OR] = 13, relative risk = 3.25) and stage, and rapid progression to muscle invasion (median progression‐free survival = 35.4 months, p = 0.0001). URO, the most common subtype (46%, n = 220), showed rapid recurrence (median recurrence‐free survival [RFS] = 11.5 months, p = 0.039) compared to its GU counterpart (29%, n = 137, median RFS = 16.9 months), even in patients who received intravesical immunotherapy (p = 0.049). URO‐KRT5(+) tumors (22%, n = 108) were typically low grade (66%, n = 71, OR = 3.7) and recurred slowly (median RFS = 38.7 months). Therefore, a simple immunohistochemical algorithm can identify clinically relevant molecular subtypes of NMIBC. In routine clinical practice, this three‐antibody algorithm may help clarify diagnostic dilemmas and optimize surveillance and treatment strategies for patients.
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spelling pubmed-88223752022-02-11 Diagnostic and prognostic implications of a three‐antibody molecular subtyping algorithm for non‐muscle invasive bladder cancer Jackson, Chelsea L Chen, Lina Hardy, Céline SC Ren, Kevin YM Visram, Kash Bratti, Vanessa F Johnstone, Jeannette Sjödahl, Gottfrid Siemens, David Robert Gooding, Robert J Berman, David M J Pathol Clin Res Original Articles Intrinsic molecular subtypes may explain marked variation between bladder cancer patients in prognosis and response to therapy. Complex testing algorithms and little attention to more prevalent, early‐stage (non‐muscle invasive) bladder cancers (NMIBCs) have hindered implementation of subtyping in clinical practice. Here, using a three‐antibody immunohistochemistry (IHC) algorithm, we identify the diagnostic and prognostic associations of well‐validated proteomic features of basal and luminal subtypes in NMIBC. By IHC, we divided 481 NMIBCs into basal (GATA3(−)/KRT5(+)) and luminal (GATA3(+)/KRT5 variable) subtypes. We further divided the luminal subtype into URO (p16 low), URO‐KRT5(+) (KRT5(+)), and genomically unstable (GU) (p16 high) subtypes. Expression thresholds were confirmed using unsupervised hierarchical clustering. Subtypes were correlated with pathology and outcomes. All NMIBC cases clustered into the basal/squamous (basal) or one of the three luminal (URO, URO‐KRT5(+), and GU) subtypes. Although uncommon in this NMIBC cohort, basal tumors (3%, n = 16) had dramatically higher grade (100%, n = 16, odds ratio [OR] = 13, relative risk = 3.25) and stage, and rapid progression to muscle invasion (median progression‐free survival = 35.4 months, p = 0.0001). URO, the most common subtype (46%, n = 220), showed rapid recurrence (median recurrence‐free survival [RFS] = 11.5 months, p = 0.039) compared to its GU counterpart (29%, n = 137, median RFS = 16.9 months), even in patients who received intravesical immunotherapy (p = 0.049). URO‐KRT5(+) tumors (22%, n = 108) were typically low grade (66%, n = 71, OR = 3.7) and recurred slowly (median RFS = 38.7 months). Therefore, a simple immunohistochemical algorithm can identify clinically relevant molecular subtypes of NMIBC. In routine clinical practice, this three‐antibody algorithm may help clarify diagnostic dilemmas and optimize surveillance and treatment strategies for patients. John Wiley & Sons, Inc. 2021-10-26 /pmc/articles/PMC8822375/ /pubmed/34697907 http://dx.doi.org/10.1002/cjp2.245 Text en © 2021 The Authors. The Journal of Pathology: Clinical Research published by The Pathological Society of Great Britain and Ireland and John Wiley & Sons, Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Jackson, Chelsea L
Chen, Lina
Hardy, Céline SC
Ren, Kevin YM
Visram, Kash
Bratti, Vanessa F
Johnstone, Jeannette
Sjödahl, Gottfrid
Siemens, David Robert
Gooding, Robert J
Berman, David M
Diagnostic and prognostic implications of a three‐antibody molecular subtyping algorithm for non‐muscle invasive bladder cancer
title Diagnostic and prognostic implications of a three‐antibody molecular subtyping algorithm for non‐muscle invasive bladder cancer
title_full Diagnostic and prognostic implications of a three‐antibody molecular subtyping algorithm for non‐muscle invasive bladder cancer
title_fullStr Diagnostic and prognostic implications of a three‐antibody molecular subtyping algorithm for non‐muscle invasive bladder cancer
title_full_unstemmed Diagnostic and prognostic implications of a three‐antibody molecular subtyping algorithm for non‐muscle invasive bladder cancer
title_short Diagnostic and prognostic implications of a three‐antibody molecular subtyping algorithm for non‐muscle invasive bladder cancer
title_sort diagnostic and prognostic implications of a three‐antibody molecular subtyping algorithm for non‐muscle invasive bladder cancer
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8822375/
https://www.ncbi.nlm.nih.gov/pubmed/34697907
http://dx.doi.org/10.1002/cjp2.245
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