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Oncoimmunology. 2017 Aug 10;6(11):e1356150. doi: 10.1080/2162402X.2017.1356150. eCollection 2017.

Host immune response index in gastric cancer identified by comprehensive analyses of tumor immunity.

Author information

1
Department of Pathology & Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
2
Clinical Genome Analysis and Precision Medicine Branch, Research Institute, National Cancer Center, Goyang, Republic of Korea.
3
Department of Pathology, Soonchunhyang University Cheonan Hospital, Soonchunhyang University College of Medicine, Cheonan, Korea.
4
Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
5
Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
6
Biostatistics and Clinical Epidemiology Center, Samsung Medical Center, Seoul, Korea.
7
Samsung Biomedical Research Institute (SBRI), Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University and Samsung Medical Center, Seoul, Korea.
8
Lifetech Institute of iNtRON Biotechnology, Seongnam, Korea.

Abstract

Tumor infiltrating lymphocytes (TIL) in Epstein-Barr virus (EBV)-associated/microsatellite-unstable (MSI) gastric carcinomas (GC) constitute immune-active principal cellular components of tumor microenvironment and contribute to better prognosis. With the remarkable success of cancer immunotherapies, there is an urgent need for a comprehensive understanding of tumor-immune interactions in patients with GC in the context of host immune response. To identify GC subtype-specific immune response gene set, we tested differentially expressed genes for MSI and EBV+ GC subtypes in randomly selected test set (n = 278) in merged ACRG-SMC microarray and TCGA RNA sequencing data set. We identified Host ImmunE Response index (HIERÏ) consisting of 29 immune genes classifying GC patients into robust 3 groups with prognostic significance. Immune-high cluster 1 was enriched with PD-L1High/EBV+/MSI/TILHigh with the best clinical outcome while immune-low cluster 3 displayed worst outcome and exemplified with PD-L1Low/EBV-/MSS. The results were validated in the same cohort (n = 279) and independent cohort (n = 181) with RNA from formalin-fixed paraffin-embedded (FFPE) tissue. Unexpectedly, nearly half of GC in cluster 1 were EBV-/MSS and 10% of cluster 3 GC were EBV+/MSI GC patients, suggesting that in addition to EBV+/MSI GC subtypes, EBV-/MSS subtype also constitutes almost half of high immune cluster and would be a good candidate for immune checkpoint inhibitor therapy. In contrary, almost 10% of EBV+/MSI GC patients may not respond to immune checkpoint inhibitor therapy. Thus, our HIERÏ gene signature demonstrates the potential to subclassify tumor immunity levels, predict prognosis and help immunotherapeutic decisions.

KEYWORDS:

EBV; PD-L1; biomarker; gastric cancer; gene signature; immune response; prognosis; survival; tumor infiltrating lymphocyte

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