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

Author:

Handley Katelyn F.123,Sims Travis T.1,Bateman Nicholas W.45,Glassman Deanna1,Foster Katherine I.1,Lee Sanghoon16,Yao Jun7,Yao Hui8,Fellman Bryan M.9,Liu Jinsong10,Lu Zhen11,Conrads Kelly A.45,Hood Brian L.45,Barakat Waleed45,Zhao Li12,Zhang Jianhua12,Westin Shannon N.1,Celestino Joseph1,Rangel Kelly M.6,Badal Sunil13,Pereira Igor13,Ram Prahlad T.6,Maxwell George L.45,Eberlin Livia S.14,Futreal P. Andrew12,Bast Robert C.11,Fleming Nicole D.1,Conrads Thomas P.45,Sood Anil K.1

Affiliation:

1. Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston

2. Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa

3. Department of Gynecologic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida

4. Women’s Health Integrated Research Center at Inova Health System, Women's Service Line, Inova Health System, Falls Church, Virginia

5. Gynecologic Cancer Center of Excellence, Henry M. Jackson Foundation, Department of Gynecologic Surgery and Obstetrics, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, Maryland

6. Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston

7. Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston

8. Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston

9. Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston

10. Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston

11. Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston

12. Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston

13. Department of Chemistry, The University of Texas at Austin, Austin

14. Department of Surgery, Baylor College of Medicine, Houston, Texas

Abstract

ImportanceDespite 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.ObjectiveTo develop and characterize a gross morphologic classification system for HGSOC.Design, Setting, and ParticipantsThis 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.ExposuresGross tumor morphologic characteristics.Main Outcomes and MeasuresClinical outcomes and multiomic profiles of representative tumor samples of type I or type II morphologic subtypes were compared.ResultsOf 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 RelevanceThis 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.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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