SBA classification is still based on the location of the primary tumor, without genetic information. in the current study, an extensive genetic profile of SBA, was performed in order to identify and quantify targetable alterations for a future precision medicine in SBA. Clinical-pathological information for 24 patients affected by SBA were retrospectively reviewed. Whole genome analysis of the primary tumors was performed by the FOUNDATION Cdx technology. We carried out a functional enrichment analysis of the mutated genes with BioPlanet. Integrative clustering analysis revealed three distinct subtypes characterized by different genomic alterations. Cluster 1exhibited significant correlations with MSI status, high TMB, celiac disease and Jejunual site.We defined cluster 1 as “immunological subtype” (29.2% of patients). Driver mutations in this subtype suggest that 100% of patients may benefit from immunotherapy. Enrichment analysis of cluster 2 highlighted that the main affected pathway was that of homologous DNA pairing and strand exchange (16.7% of patients). We defined this cluster as “DNA Damage Repair (DDR) like”. On the basis of these driver molecular alterations, 100% of patients could benefit from PARPi. Finally, Cluster 3 had no significant correlations with clinical-pathological characteristics (54.1% of patients). Enrichment analysis revealed that this cluster has remarkable similarities with CRA genomic profile, so we defined it as “Colon-like”. SBA is a genetically distinct tumor entity and deep mutation heterogeneity indicates that different driver genes play a role in the biology of these tumors. The identification of clusters based on genetic profile suggest the possibility to go beyond chemotherapy in several patients.

Original languageEnglish
Article number17
JournalMedical Oncology
Issue number2
Publication statusPublished - Feb 2 2021


  • ATM
  • BRCA
  • Celiac disease
  • Immunotherapy
  • Microsatellite instability
  • Molecular
  • NF43
  • Parpi
  • Tumor mutational burden

ASJC Scopus subject areas

  • Hematology
  • Oncology
  • Cancer Research


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