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Intron-Retention Neoantigen Load Predicts Favorable Prognosis in Pancreatic Cancer
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 co...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846286/ https://www.ncbi.nlm.nih.gov/pubmed/35148169 http://dx.doi.org/10.1200/CCI.21.00124 |
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author | Dong, Chuanpeng Reiter, Jill L. Dong, Edward Wang, Yue Lee, Kelvin P. Lu, Xiongbin Liu, Yunlong |
author_facet | Dong, Chuanpeng Reiter, Jill L. Dong, Edward Wang, Yue Lee, Kelvin P. Lu, Xiongbin Liu, Yunlong |
author_sort | Dong, Chuanpeng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8846286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-88462862022-02-16 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 JCO Clin Cancer Inform ORIGINAL REPORTS 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. Wolters Kluwer Health 2022-02-11 /pmc/articles/PMC8846286/ /pubmed/35148169 http://dx.doi.org/10.1200/CCI.21.00124 Text en © 2022 by American Society of Clinical Oncology https://creativecommons.org/licenses/by-nc-nd/4.0/ Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY) (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | ORIGINAL REPORTS Dong, Chuanpeng Reiter, Jill L. Dong, Edward Wang, Yue Lee, Kelvin P. Lu, Xiongbin Liu, Yunlong Intron-Retention Neoantigen Load Predicts Favorable Prognosis in Pancreatic Cancer |
title | Intron-Retention Neoantigen Load Predicts Favorable Prognosis in Pancreatic Cancer |
title_full | Intron-Retention Neoantigen Load Predicts Favorable Prognosis in Pancreatic Cancer |
title_fullStr | Intron-Retention Neoantigen Load Predicts Favorable Prognosis in Pancreatic Cancer |
title_full_unstemmed | Intron-Retention Neoantigen Load Predicts Favorable Prognosis in Pancreatic Cancer |
title_short | Intron-Retention Neoantigen Load Predicts Favorable Prognosis in Pancreatic Cancer |
title_sort | intron-retention neoantigen load predicts favorable prognosis in pancreatic cancer |
topic | ORIGINAL REPORTS |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8846286/ https://www.ncbi.nlm.nih.gov/pubmed/35148169 http://dx.doi.org/10.1200/CCI.21.00124 |
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