Identification and validation of stromal-tumor microenvironment-based subtypes tightly associated with PD-1/PD-L1 immunotherapy and outcomes in patients with gastric cancer

Abstract Background Immunotherapies targeting programmed cell death 1 (PD-1) and programmed death-ligand 1 (PD-L1) have been approved for gastric cancer (GC) patients. However, a large proportion of patients with T-cell-inflamed tumor microenvironment do not respond to the PD-1/PD-L1 blockade. The s...

Full description

Bibliographic Details
Main Authors: Qianqian Ren, Peng Zhu, Hui Zhang, Tianhe Ye, Dehan Liu, Zhao Gong, Xiangwen Xia
Format: Article
Language:English
Published: BMC 2020-03-01
Series:Cancer Cell International
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12935-020-01173-3
_version_ 1818934475815387136
author Qianqian Ren
Peng Zhu
Hui Zhang
Tianhe Ye
Dehan Liu
Zhao Gong
Xiangwen Xia
author_facet Qianqian Ren
Peng Zhu
Hui Zhang
Tianhe Ye
Dehan Liu
Zhao Gong
Xiangwen Xia
author_sort Qianqian Ren
collection DOAJ
description Abstract Background Immunotherapies targeting programmed cell death 1 (PD-1) and programmed death-ligand 1 (PD-L1) have been approved for gastric cancer (GC) patients. However, a large proportion of patients with T-cell-inflamed tumor microenvironment do not respond to the PD-1/PD-L1 blockade. The stromal component of the tumor microenvironment has been associated with immunotherapy. This study aims to explore the clinical significance of the non-immune cells in the tumor microenvironment and their potential as biomarkers for immunotherapy. Methods A total of 383 patients with GC from the Cancer Genome Atlas (TCGA) cohort, 300 patients with GC from the GSE62254 cohort in Gene Expression Omnibus (GEO) were included in the study. A stromal score was generated using the ESTIMATE algorithm, and the likelihood of response to PD-1/PD-L1 immunotherapy of GC patients was predicted using the TIDE algorithm. The prognostic value of the stromal score from GC cases was evaluated by the Kaplan–Meier method and Cox regression analysis. Gene set enrichment analysis (GSEA) was also conducted. Results The stromal score showed significant differences in different molecular subtypes and T stages. Multivariate analyses further confirmed that the stromal score was an independent indicator of overall survival (OS) in the two cohorts. The low stromal score group showed higher tumor mutation burden (TMB) and micro-satellite instability (MSI), and was more sensitive to immune checkpoint inhibitor according to the TIDE algorithm. Activation of the transforming growth factor and epithelial–mesenchymal transition were observed in the high stromal score subtype, which is associated with T-cell suppression, and may be responsible for resistance to PD-1/PD-L1 therapy. BPIFB2 was confirmed as a hub gene relevant to immunotherapy. Conclusion The stromal score was associated with cancer progression and molecular subtypes, and may serve as a novel biomarker for predicting the prognosis and response to immunotherapy in patients with GC.
first_indexed 2024-12-20T05:04:52Z
format Article
id doaj.art-b7cff39cff814e7ba842934be3bd4480
institution Directory Open Access Journal
issn 1475-2867
language English
last_indexed 2024-12-20T05:04:52Z
publishDate 2020-03-01
publisher BMC
record_format Article
series Cancer Cell International
spelling doaj.art-b7cff39cff814e7ba842934be3bd44802022-12-21T19:52:26ZengBMCCancer Cell International1475-28672020-03-0120111310.1186/s12935-020-01173-3Identification and validation of stromal-tumor microenvironment-based subtypes tightly associated with PD-1/PD-L1 immunotherapy and outcomes in patients with gastric cancerQianqian Ren0Peng Zhu1Hui Zhang2Tianhe Ye3Dehan Liu4Zhao Gong5Xiangwen Xia6Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Hepatobiliary SurgeryDepartment of Internal Medicine, Wuhan Hankou HospitalDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyDepartment of Hepatobiliary SurgeryDepartment of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyAbstract Background Immunotherapies targeting programmed cell death 1 (PD-1) and programmed death-ligand 1 (PD-L1) have been approved for gastric cancer (GC) patients. However, a large proportion of patients with T-cell-inflamed tumor microenvironment do not respond to the PD-1/PD-L1 blockade. The stromal component of the tumor microenvironment has been associated with immunotherapy. This study aims to explore the clinical significance of the non-immune cells in the tumor microenvironment and their potential as biomarkers for immunotherapy. Methods A total of 383 patients with GC from the Cancer Genome Atlas (TCGA) cohort, 300 patients with GC from the GSE62254 cohort in Gene Expression Omnibus (GEO) were included in the study. A stromal score was generated using the ESTIMATE algorithm, and the likelihood of response to PD-1/PD-L1 immunotherapy of GC patients was predicted using the TIDE algorithm. The prognostic value of the stromal score from GC cases was evaluated by the Kaplan–Meier method and Cox regression analysis. Gene set enrichment analysis (GSEA) was also conducted. Results The stromal score showed significant differences in different molecular subtypes and T stages. Multivariate analyses further confirmed that the stromal score was an independent indicator of overall survival (OS) in the two cohorts. The low stromal score group showed higher tumor mutation burden (TMB) and micro-satellite instability (MSI), and was more sensitive to immune checkpoint inhibitor according to the TIDE algorithm. Activation of the transforming growth factor and epithelial–mesenchymal transition were observed in the high stromal score subtype, which is associated with T-cell suppression, and may be responsible for resistance to PD-1/PD-L1 therapy. BPIFB2 was confirmed as a hub gene relevant to immunotherapy. Conclusion The stromal score was associated with cancer progression and molecular subtypes, and may serve as a novel biomarker for predicting the prognosis and response to immunotherapy in patients with GC.http://link.springer.com/article/10.1186/s12935-020-01173-3Gastric cancerStromal cells infiltrationStromal scoreOverall survivalPD-1/PD-L1 therapy
spellingShingle Qianqian Ren
Peng Zhu
Hui Zhang
Tianhe Ye
Dehan Liu
Zhao Gong
Xiangwen Xia
Identification and validation of stromal-tumor microenvironment-based subtypes tightly associated with PD-1/PD-L1 immunotherapy and outcomes in patients with gastric cancer
Cancer Cell International
Gastric cancer
Stromal cells infiltration
Stromal score
Overall survival
PD-1/PD-L1 therapy
title Identification and validation of stromal-tumor microenvironment-based subtypes tightly associated with PD-1/PD-L1 immunotherapy and outcomes in patients with gastric cancer
title_full Identification and validation of stromal-tumor microenvironment-based subtypes tightly associated with PD-1/PD-L1 immunotherapy and outcomes in patients with gastric cancer
title_fullStr Identification and validation of stromal-tumor microenvironment-based subtypes tightly associated with PD-1/PD-L1 immunotherapy and outcomes in patients with gastric cancer
title_full_unstemmed Identification and validation of stromal-tumor microenvironment-based subtypes tightly associated with PD-1/PD-L1 immunotherapy and outcomes in patients with gastric cancer
title_short Identification and validation of stromal-tumor microenvironment-based subtypes tightly associated with PD-1/PD-L1 immunotherapy and outcomes in patients with gastric cancer
title_sort identification and validation of stromal tumor microenvironment based subtypes tightly associated with pd 1 pd l1 immunotherapy and outcomes in patients with gastric cancer
topic Gastric cancer
Stromal cells infiltration
Stromal score
Overall survival
PD-1/PD-L1 therapy
url http://link.springer.com/article/10.1186/s12935-020-01173-3
work_keys_str_mv AT qianqianren identificationandvalidationofstromaltumormicroenvironmentbasedsubtypestightlyassociatedwithpd1pdl1immunotherapyandoutcomesinpatientswithgastriccancer
AT pengzhu identificationandvalidationofstromaltumormicroenvironmentbasedsubtypestightlyassociatedwithpd1pdl1immunotherapyandoutcomesinpatientswithgastriccancer
AT huizhang identificationandvalidationofstromaltumormicroenvironmentbasedsubtypestightlyassociatedwithpd1pdl1immunotherapyandoutcomesinpatientswithgastriccancer
AT tianheye identificationandvalidationofstromaltumormicroenvironmentbasedsubtypestightlyassociatedwithpd1pdl1immunotherapyandoutcomesinpatientswithgastriccancer
AT dehanliu identificationandvalidationofstromaltumormicroenvironmentbasedsubtypestightlyassociatedwithpd1pdl1immunotherapyandoutcomesinpatientswithgastriccancer
AT zhaogong identificationandvalidationofstromaltumormicroenvironmentbasedsubtypestightlyassociatedwithpd1pdl1immunotherapyandoutcomesinpatientswithgastriccancer
AT xiangwenxia identificationandvalidationofstromaltumormicroenvironmentbasedsubtypestightlyassociatedwithpd1pdl1immunotherapyandoutcomesinpatientswithgastriccancer