Next generation sequencing targeted detection of somatic mutations in patients with mucinous adenocarcinoma of the appendix

Ann Diagn Pathol. 2022 Dec:61:152024. doi: 10.1016/j.anndiagpath.2022.152024. Epub 2022 Aug 8.

Abstract

The aim of this study was to investigate the mutations in mucinous adenocarcinoma of the appendix (MAA). SNV was detected in 15 patients with MAA, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and reactome pathway analyses were performed. Tumor mutational burden (TMB), mutant-allele tumor heterogeneity (MATH), microsatellite instability (MSI) was analysis. Finally, the human leukocyte antigen (HLA) typing of the samples was detected. The results showed that TP53 (27 %) and KRAS (20 %) were the highest mutation frequency in the sample, mainly occur in p53 pathway and RTK-RAS pathway. GO analysis reveals mutated genes are closely related to the regulation of GTPase activity, regulation of small GTPase mediated signal transduction and other BP, related to the CC and MF. Analysis of KEGG pathways indicated that the top canonical pathways associated with SNV was Wnt signaling pathway. Reactome pathway analysis further revealed that the mutant genes were closely related to muscle contraction. Only one patient had moderate TMB level and one patient with high MSI. In conclusion, the most common mutated genes and the signaling pathways closely related to MAA development were detected in this study, which will contribute to the development of immunotherapy for patients with MAA.

Keywords: Human leukocyte antigen typing; Mucinous adenocarcinoma of the appendix; Single nucleotide substitution; Somatic mutation; Tumor mutational burden.

MeSH terms

  • Adenocarcinoma* / pathology
  • Adenocarcinoma, Mucinous* / pathology
  • Appendiceal Neoplasms* / genetics
  • Appendiceal Neoplasms* / pathology
  • Appendix* / chemistry
  • Appendix* / metabolism
  • Appendix* / pathology
  • Biomarkers, Tumor / analysis
  • Biomarkers, Tumor / genetics
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Microsatellite Instability
  • Mutation

Substances

  • Biomarkers, Tumor