Genome-Derived Ampullary Adenocarcinoma Classifier and Postresection Prognostication

Author:

Ecker Brett L.1,Seier Kenneth2,Eckhoff Austin M.3,Tortorello Gabriella N.4,Allen Peter J.3,Balachandran Vinod P.5,Blackburn Nicola6,D’Angelica Michael I.5,DeMatteo Ronald P.4,Blazer Daniel G.3,Drebin Jeffrey A.5,Fisher William E.7,Fortuna Danielle8,Gill Anthony J.69,Gingras Marie-Claude10,Kingham T. Peter5,Lee Major K.4,Lidsky Michael E.3,Nussbaum Daniel P.3,Overman Michael J.11,Samra Jaswinder S.9,Shen Ronglai2,Sigel Carlie S.12,Soares Kevin C.5,Vollmer Charles M.4,Wei Alice C.5,Zani Sabino3,Roses Robert E.4,Gonen Mithat2,Jarnagin William R.5

Affiliation:

1. Division of Surgical Oncology, Rutgers Cancer Institute, New Brunswick, New Jersey

2. Department of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York

3. Department of Surgery, Duke University School of Medicine, Durham, North Carolina

4. Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia

5. Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York

6. The Kinghorn Cancer Centre, Garvan Institute of Medical Research, 370 Victoria Street, Darlinghurst, Sydney, New South Wales, Australia

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

8. Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania

9. Royal North Shore Hospital, Westbourne Street, St Leonards, New South Wales, Australia

10. Department of Molecular and Human Genetics, Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas

11. Department of Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas

12. Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York

Abstract

ImportanceAmpullary adenocarcinoma (AA) is characterized by clinical and genomic heterogeneity. A previously developed genomic classifier defined biologically distinct phenotypes with greater accuracy than standard histologic classification. External validation is needed before routine clinical use.ObjectiveTo test external validity of the prognostic value of the hidden genome classifier of AA.Design, Setting, and ParticipantsThis retrospective cohort study took place at 6 international academic institutions. Consecutive patients (n = 192) who underwent curative-intent resection of histologically confirmed AA were included. The data were analyzed from January 2005 through July 2020.ExposuresThe multilevel meta-feature regression model previously trained on a prospectively sequenced cohort of 3411 patients (1001 pancreatic adenocarcinoma, 165 distal bile duct adenocarcinoma, and 2245 colorectal adenocarcinoma) was applied to AA sequencing data to quantify the relative proportions of parental cell of origin.Main Outcome and MeasuresGenomic classification was correlated with immunohistologic subtype (intestinal [INT] or pancreatobiliary [PB]) and with overall survival (OS), using the log-rank test and Cox proportional hazard models.ResultsAmong 192 patients with AA (median age, 69.0 [IQR, 60.0-74.0] years and 134 were male [64%]), concordance between immunohistologic and genomic subtypes was 55%. Most INT subtype tumors were categorized into the colorectal genomic subtype (43 of 57 [72.9%]). Of the 114 PB subtype tumors, 29 had a pancreatic genomic profile (25.4%) and 24 had a distal bile duct genomic profile (21.1%). Whereas the standard immunohistologic subtypes were not associated with survival (log rank P = .26), predicted genomic probabilities were correlated with survival probability. Genomic scores with higher colorectal probability were associated with higher survival probability; higher pancreatic and distal bile duct probabilities were associated with lower survival probability.Conclusions and RelevanceThe AA genomic classifier is reproducible with available molecular testing in a diverse international cohort of patients and improves stratification of the divergent clinical outcomes beyond standard immunohistologic classification. These data provide a molecular classification that may be incorporated into clinical trials for prospective validation.

Publisher

American Medical Association (AMA)

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