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Intron-Retention Neoantigen Load Predicts Favorable Prognosis in Pancreatic Cancer.
Dong, Chuanpeng; Reiter, Jill L; Dong, Edward; Wang, Yue; Lee, Kelvin P; Lu, Xiongbin; Liu, Yunlong.
Afiliação
  • Dong C; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN.
  • Reiter JL; Department of BioHealth Informatics, School of Informatics and Computing, Indiana University-Purdue University Indianapolis, Indianapolis, IN.
  • Dong E; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN.
  • Wang Y; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN.
  • Lee KP; Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN.
  • Lu X; Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN.
  • Liu Y; Department of Medicine, Indiana University School of Medicine, Indianapolis, IN.
JCO Clin Cancer Inform ; 6: e2100124, 2022 02.
Article em En | MEDLINE | ID: mdl-35148169
ABSTRACT

PURPOSE:

High tumor mutation burden (TMB) in many cancer types is associated with the production of tumor-specific neoantigens, a favorable outcome and response to immune checkpoint blockade (ICB) therapy. Besides mutation-derived neoantigens, aberrant intron retention also produces tumor neopeptides that could trigger an immune response. The relationship between intron-retention-derived tumor neoantigens (IR-neoAg) and clinical outcomes in pancreatic cancer remains uncertain. Here, we quantify IR-neoAg in pancreatic cancer and evaluate whether IR-neoAg load might serve as a biomarker for selecting patients who may benefit from ICB therapy.

METHODS:

We developed a computational approach to estimate patient-specific IR-neoAg load from transcriptome data available in The Cancer Genome Atlas pancreatic cancer cohort. Associations between IR-neoAg load and patient overall survival were evaluated using Kaplan-Meier estimates and Cox regression. Differential expression of immune checkpoint and HLA-I genes was evaluated in tumors with high IR-neoAg load.

RESULTS:

High IR-neoAg load predicted better overall survival in pancreatic cancer, although no association was found for TMB. IR-neoAg load remained a significant prognostic factor after adjusting for patient age, sex, tumor stage and grade, and TMB. Moreover, pancreatic tumors with both high IR-neoAg load and high HLA-I gene expression had similar gene expression profiles as other tumor types that showed response to anti-programmed cell death protein 1 therapy.

CONCLUSION:

IR-neoAg load is associated with favorable survival in pancreatic cancer. These findings provide strong evidence for considering IR-neoAgs when selecting patients who might benefit from ICB therapy.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: JCO Clin Cancer Inform Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Pancreáticas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: JCO Clin Cancer Inform Ano de publicação: 2022 Tipo de documento: Article