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Molecular Classification Outperforms Histologic Classification in Prognostication of High-grade Endometrial Carcinomas With Undifferentiated and Sarcomatous Components.
Hammer, Phoebe M; Wang, Aihui; Vermij, Lisa; Zdravkovic, Sabrina; Heilbroner, Lucas; Ryan, Emily; Geisick, Rachel L P; Charu, Vivek; Longacre, Teri A; Suarez, Carlos J; Ho, Chandler; Jenkins, Taylor M; Mills, Anne M; Bosse, Tjalling; Howitt, Brooke E.
Affiliation
  • Hammer PM; Department of Pathology, Stanford University School of Medicine, Stanford, CA.
  • Wang A; Department of Pathology, Stanford University School of Medicine, Stanford, CA.
  • Vermij L; Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
  • Zdravkovic S; Department of Pathology, Stanford University School of Medicine, Stanford, CA.
  • Heilbroner L; Department of Pathology, Stanford University School of Medicine, Stanford, CA.
  • Ryan E; Department of Pathology, Stanford University School of Medicine, Stanford, CA.
  • Geisick RLP; Department of Pathology, Stanford University School of Medicine, Stanford, CA.
  • Charu V; Department of Pathology, Stanford University School of Medicine, Stanford, CA.
  • Longacre TA; Department of Pathology, Stanford University School of Medicine, Stanford, CA.
  • Suarez CJ; Department of Pathology, Stanford University School of Medicine, Stanford, CA.
  • Ho C; Department of Pathology, Stanford University School of Medicine, Stanford, CA.
  • Jenkins TM; Department of Pathology, Virginia Commonwealth University Health System, Richmond.
  • Mills AM; Department of Pathology, University of Virginia Health System, Charlottesville, VA.
  • Bosse T; Department of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
  • Howitt BE; Department of Pathology, Stanford University School of Medicine, Stanford, CA.
Am J Surg Pathol ; 48(8): 953-964, 2024 Aug 01.
Article in En | MEDLINE | ID: mdl-38780000
ABSTRACT
Since the establishment of 4 molecular subgroups of endometrial carcinoma (EC), there has been significant interest in understanding molecular classification in the context of histologic features and diagnoses. ECs with undifferentiated, spindle, and/or sarcomatous components represent a diagnostically challenging subset of tumors with overlapping clinical and histologic features. We examined the clinicopathologic, morphologic, immunohistochemical, and molecular features of these tumors identified in our institutions' pathology databases using immunohistochemistry and targeted sequencing. Disease-specific survival (DSS) and progression-free survival (PFS) were analyzed using Kaplan-Meier curves and log-rank tests. One hundred sixty-two ECs were included carcinosarcomas (UCS; n=96), dedifferentiated/undifferentiated EC (DDEC/UDEC; n=49), and grade 3 endometrioid EC with spindled growth (GR3spEEC) (n=17). All molecular subgroups were represented in all histologic subtypes and included 12 (7%) POLE -mutated ( POLE mut), 43 (27%) mismatch repair-deficient (MMRd), 77 (48%) p53-abnormal (p53abn), and 30 (19%) no specific molecular profile (NSMP) tumors. However, the molecular classification (irrespective of histologic diagnosis) was a significant predictor for both DSS ( P =0.008) and P≤0.0001). POLE mut EC showed an excellent prognosis with no recurrences or deaths from the disease. MMRd tumors also showed better outcomes relative to NSMP and p53abn tumors. In conclusion, molecular classification provides better prognostic information than histologic diagnosis for high-grade EC with undifferentiated and sarcomatous components. Our study strongly supports routine molecular classification of these tumors, with emphasis on molecular group, rather than histologic subtyping, in providing prognostication.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers, Tumor / Endometrial Neoplasms / Neoplasm Grading Limits: Adult / Aged / Aged80 / Female / Humans / Middle aged Language: En Journal: Am J Surg Pathol Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biomarkers, Tumor / Endometrial Neoplasms / Neoplasm Grading Limits: Adult / Aged / Aged80 / Female / Humans / Middle aged Language: En Journal: Am J Surg Pathol Year: 2024 Document type: Article Affiliation country: Country of publication: