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Genome-Derived Ampullary Adenocarcinoma Classifier and Postresection Prognostication.
Ecker, Brett L; Seier, Kenneth; Eckhoff, Austin M; Tortorello, Gabriella N; Allen, Peter J; Balachandran, Vinod P; Blackburn, Nicola; D'Angelica, Michael I; DeMatteo, Ronald P; Blazer, Daniel G; Drebin, Jeffrey A; Fisher, William E; Fortuna, Danielle; Gill, Anthony J; Gingras, Marie-Claude; Kingham, T Peter; Lee, Major K; Lidsky, Michael E; Nussbaum, Daniel P; Overman, Michael J; Samra, Jaswinder S; Shen, Ronglai; Sigel, Carlie S; Soares, Kevin C; Vollmer, Charles M; Wei, Alice C; Zani, Sabino; Roses, Robert E; Gonen, Mithat; Jarnagin, William R.
Affiliation
  • Ecker BL; Division of Surgical Oncology, Rutgers Cancer Institute, New Brunswick, New Jersey.
  • Seier K; Department of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Eckhoff AM; Department of Surgery, Duke University School of Medicine, Durham, North Carolina.
  • Tortorello GN; Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Allen PJ; Department of Surgery, Duke University School of Medicine, Durham, North Carolina.
  • Balachandran VP; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Blackburn N; The Kinghorn Cancer Centre, Garvan Institute of Medical Research, 370 Victoria Street, Darlinghurst, Sydney, New South Wales, Australia.
  • D'Angelica MI; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
  • DeMatteo RP; Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Blazer DG; Department of Surgery, Duke University School of Medicine, Durham, North Carolina.
  • Drebin JA; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Fisher WE; Department of Surgery, Baylor College of Medicine, Houston, Texas.
  • Fortuna D; Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania.
  • Gill AJ; The Kinghorn Cancer Centre, Garvan Institute of Medical Research, 370 Victoria Street, Darlinghurst, Sydney, New South Wales, Australia.
  • Gingras MC; Royal North Shore Hospital, Westbourne Street, St Leonards, New South Wales, Australia.
  • Kingham TP; Department of Molecular and Human Genetics, Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas.
  • Lee MK; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Lidsky ME; Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Nussbaum DP; Department of Surgery, Duke University School of Medicine, Durham, North Carolina.
  • Overman MJ; Department of Surgery, Duke University School of Medicine, Durham, North Carolina.
  • Samra JS; Department of Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Shen R; Royal North Shore Hospital, Westbourne Street, St Leonards, New South Wales, Australia.
  • Sigel CS; Department of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Soares KC; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Vollmer CM; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Wei AC; Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Zani S; Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
  • Roses RE; Department of Surgery, Duke University School of Medicine, Durham, North Carolina.
  • Gonen M; Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia.
  • Jarnagin WR; Department of Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.
JAMA Surg ; 2024 Sep 11.
Article in En | MEDLINE | ID: mdl-39259526
ABSTRACT
Importance Ampullary 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.

Objective:

To test external validity of the prognostic value of the hidden genome classifier of AA. Design, Setting, and

Participants:

This 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. Exposures The 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

Measures:

Genomic 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.

Results:

Among 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 Relevance The 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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JAMA Surg Year: 2024 Document type: Article Country of publication: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JAMA Surg Year: 2024 Document type: Article Country of publication: Estados Unidos