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Classification of High-Grade Serous Ovarian Cancer Using Tumor Morphologic Characteristics

IMPORTANCE: Despite similar histologic appearance among high-grade serous ovarian cancers (HGSOCs), clinical observations suggest vast differences in gross appearance. There is currently no systematic framework by which to classify HGSOCs according to their gross morphologic characteristics. OBJECTI...

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Autores principales: Handley, Katelyn F., Sims, Travis T., Bateman, Nicholas W., Glassman, Deanna, Foster, Katherine I., Lee, Sanghoon, Yao, Jun, Yao, Hui, Fellman, Bryan M., Liu, Jinsong, Lu, Zhen, Conrads, Kelly A., Hood, Brian L., Barakat, Waleed, Zhao, Li, Zhang, Jianhua, Westin, Shannon N., Celestino, Joseph, Rangel, Kelly M., Badal, Sunil, Pereira, Igor, Ram, Prahlad T., Maxwell, George L., Eberlin, Livia S., Futreal, P. Andrew, Bast, Robert C., Fleming, Nicole D., Conrads, Thomas P., Sood, Anil K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568802/
https://www.ncbi.nlm.nih.gov/pubmed/36239936
http://dx.doi.org/10.1001/jamanetworkopen.2022.36626
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author Handley, Katelyn F.
Sims, Travis T.
Bateman, Nicholas W.
Glassman, Deanna
Foster, Katherine I.
Lee, Sanghoon
Yao, Jun
Yao, Hui
Fellman, Bryan M.
Liu, Jinsong
Lu, Zhen
Conrads, Kelly A.
Hood, Brian L.
Barakat, Waleed
Zhao, Li
Zhang, Jianhua
Westin, Shannon N.
Celestino, Joseph
Rangel, Kelly M.
Badal, Sunil
Pereira, Igor
Ram, Prahlad T.
Maxwell, George L.
Eberlin, Livia S.
Futreal, P. Andrew
Bast, Robert C.
Fleming, Nicole D.
Conrads, Thomas P.
Sood, Anil K.
author_facet Handley, Katelyn F.
Sims, Travis T.
Bateman, Nicholas W.
Glassman, Deanna
Foster, Katherine I.
Lee, Sanghoon
Yao, Jun
Yao, Hui
Fellman, Bryan M.
Liu, Jinsong
Lu, Zhen
Conrads, Kelly A.
Hood, Brian L.
Barakat, Waleed
Zhao, Li
Zhang, Jianhua
Westin, Shannon N.
Celestino, Joseph
Rangel, Kelly M.
Badal, Sunil
Pereira, Igor
Ram, Prahlad T.
Maxwell, George L.
Eberlin, Livia S.
Futreal, P. Andrew
Bast, Robert C.
Fleming, Nicole D.
Conrads, Thomas P.
Sood, Anil K.
author_sort Handley, Katelyn F.
collection PubMed
description IMPORTANCE: Despite similar histologic appearance among high-grade serous ovarian cancers (HGSOCs), clinical observations suggest vast differences in gross appearance. There is currently no systematic framework by which to classify HGSOCs according to their gross morphologic characteristics. OBJECTIVE: To develop and characterize a gross morphologic classification system for HGSOC. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included patients with suspected advanced-stage ovarian cancer who presented between April 1, 2013, and August 5, 2016, to the University of Texas MD Anderson Cancer Center, a large referral center. Patients underwent laparoscopic assessment of disease burden before treatment and received a histopathologic diagnosis of HGSOC. Researchers assigning morphologic subtype and performing molecular analyses were blinded to clinical outcomes. Data analysis was performed between April 2020 and November 2021. EXPOSURES: Gross tumor morphologic characteristics. MAIN OUTCOMES AND MEASURES: Clinical outcomes and multiomic profiles of representative tumor samples of type I or type II morphologic subtypes were compared. RESULTS: Of 112 women (mean [SD] age 62.7 [9.7] years) included in the study, most patients (84% [94]) exhibited a predominant morphologic subtype and many (63% [71]) had a uniform morphologic subtype at all involved sites. Compared with those with uniform type I morphologic subtype, patients with uniform type II morphologic subtype were more likely to have a favorable Fagotti score (83% [19 of 23] vs 46% [22 of 48]; P = .004) and thus to be triaged to primary tumor reductive surgery. Similarly, patients with uniform type II morphologic subtype also had significantly higher mean (SD) estimated blood loss (639 [559; 95% CI, 391-887] mL vs 415 [527; 95% CI, 253-577] mL; P = .006) and longer mean (SD) operative time (408 [130; 95% CI, 350-466] minutes vs 333 [113; 95% CI, 298-367] minutes; P = .03) during tumor reductive surgery. Type I tumors had enrichment of epithelial-mesenchymal transition (false discovery rate [FDR] q-value, 3.10 × 10(−24)), hypoxia (FDR q-value, 1.52 × 10(−5)), and angiogenesis pathways (FDR q-value, 2.11 × 10(−2)), whereas type II tumors had enrichment of pathways related to MYC signaling (FDR q-value, 2.04 × 10(−9)) and cell cycle progression (FDR q-value, 1.10 × 10(−5)) by integrated proteomic and transcriptomic analysis. Abundances of metabolites and lipids also differed between the 2 morphologic subtypes. CONCLUSIONS AND RELEVANCE: This study identified 2 novel, gross morphologic subtypes of HGSOC, each with unique clinical features and molecular signatures. The findings may have implications for triaging patients to surgery or chemotherapy, identifying outcomes, and developing tailored therapeutic strategies.
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spelling pubmed-95688022022-10-28 Classification of High-Grade Serous Ovarian Cancer Using Tumor Morphologic Characteristics Handley, Katelyn F. Sims, Travis T. Bateman, Nicholas W. Glassman, Deanna Foster, Katherine I. Lee, Sanghoon Yao, Jun Yao, Hui Fellman, Bryan M. Liu, Jinsong Lu, Zhen Conrads, Kelly A. Hood, Brian L. Barakat, Waleed Zhao, Li Zhang, Jianhua Westin, Shannon N. Celestino, Joseph Rangel, Kelly M. Badal, Sunil Pereira, Igor Ram, Prahlad T. Maxwell, George L. Eberlin, Livia S. Futreal, P. Andrew Bast, Robert C. Fleming, Nicole D. Conrads, Thomas P. Sood, Anil K. JAMA Netw Open Original Investigation IMPORTANCE: Despite similar histologic appearance among high-grade serous ovarian cancers (HGSOCs), clinical observations suggest vast differences in gross appearance. There is currently no systematic framework by which to classify HGSOCs according to their gross morphologic characteristics. OBJECTIVE: To develop and characterize a gross morphologic classification system for HGSOC. DESIGN, SETTING, AND PARTICIPANTS: This cohort study included patients with suspected advanced-stage ovarian cancer who presented between April 1, 2013, and August 5, 2016, to the University of Texas MD Anderson Cancer Center, a large referral center. Patients underwent laparoscopic assessment of disease burden before treatment and received a histopathologic diagnosis of HGSOC. Researchers assigning morphologic subtype and performing molecular analyses were blinded to clinical outcomes. Data analysis was performed between April 2020 and November 2021. EXPOSURES: Gross tumor morphologic characteristics. MAIN OUTCOMES AND MEASURES: Clinical outcomes and multiomic profiles of representative tumor samples of type I or type II morphologic subtypes were compared. RESULTS: Of 112 women (mean [SD] age 62.7 [9.7] years) included in the study, most patients (84% [94]) exhibited a predominant morphologic subtype and many (63% [71]) had a uniform morphologic subtype at all involved sites. Compared with those with uniform type I morphologic subtype, patients with uniform type II morphologic subtype were more likely to have a favorable Fagotti score (83% [19 of 23] vs 46% [22 of 48]; P = .004) and thus to be triaged to primary tumor reductive surgery. Similarly, patients with uniform type II morphologic subtype also had significantly higher mean (SD) estimated blood loss (639 [559; 95% CI, 391-887] mL vs 415 [527; 95% CI, 253-577] mL; P = .006) and longer mean (SD) operative time (408 [130; 95% CI, 350-466] minutes vs 333 [113; 95% CI, 298-367] minutes; P = .03) during tumor reductive surgery. Type I tumors had enrichment of epithelial-mesenchymal transition (false discovery rate [FDR] q-value, 3.10 × 10(−24)), hypoxia (FDR q-value, 1.52 × 10(−5)), and angiogenesis pathways (FDR q-value, 2.11 × 10(−2)), whereas type II tumors had enrichment of pathways related to MYC signaling (FDR q-value, 2.04 × 10(−9)) and cell cycle progression (FDR q-value, 1.10 × 10(−5)) by integrated proteomic and transcriptomic analysis. Abundances of metabolites and lipids also differed between the 2 morphologic subtypes. CONCLUSIONS AND RELEVANCE: This study identified 2 novel, gross morphologic subtypes of HGSOC, each with unique clinical features and molecular signatures. The findings may have implications for triaging patients to surgery or chemotherapy, identifying outcomes, and developing tailored therapeutic strategies. American Medical Association 2022-10-14 /pmc/articles/PMC9568802/ /pubmed/36239936 http://dx.doi.org/10.1001/jamanetworkopen.2022.36626 Text en Copyright 2022 Handley KF et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Original Investigation
Handley, Katelyn F.
Sims, Travis T.
Bateman, Nicholas W.
Glassman, Deanna
Foster, Katherine I.
Lee, Sanghoon
Yao, Jun
Yao, Hui
Fellman, Bryan M.
Liu, Jinsong
Lu, Zhen
Conrads, Kelly A.
Hood, Brian L.
Barakat, Waleed
Zhao, Li
Zhang, Jianhua
Westin, Shannon N.
Celestino, Joseph
Rangel, Kelly M.
Badal, Sunil
Pereira, Igor
Ram, Prahlad T.
Maxwell, George L.
Eberlin, Livia S.
Futreal, P. Andrew
Bast, Robert C.
Fleming, Nicole D.
Conrads, Thomas P.
Sood, Anil K.
Classification of High-Grade Serous Ovarian Cancer Using Tumor Morphologic Characteristics
title Classification of High-Grade Serous Ovarian Cancer Using Tumor Morphologic Characteristics
title_full Classification of High-Grade Serous Ovarian Cancer Using Tumor Morphologic Characteristics
title_fullStr Classification of High-Grade Serous Ovarian Cancer Using Tumor Morphologic Characteristics
title_full_unstemmed Classification of High-Grade Serous Ovarian Cancer Using Tumor Morphologic Characteristics
title_short Classification of High-Grade Serous Ovarian Cancer Using Tumor Morphologic Characteristics
title_sort classification of high-grade serous ovarian cancer using tumor morphologic characteristics
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568802/
https://www.ncbi.nlm.nih.gov/pubmed/36239936
http://dx.doi.org/10.1001/jamanetworkopen.2022.36626
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