Mast cell‐based molecular subtypes and signature associated with clinical outcome in early‐stage lung adenocarcinoma

Mast cells are a major component of the immune microenvironment in tumour tissues and modulate tumour progression by releasing pro‐tumorigenic and antitumorigenic molecules. Regarding the impact of mast cells on the outcomes of patients with lung adenocarcinoma (LUAD) patient, several published stud...

Full description

Bibliographic Details
Main Authors: Xuanwen Bao, Run Shi, Tianyu Zhao, Yanfang Wang
Format: Article
Language:English
Published: Wiley 2020-05-01
Series:Molecular Oncology
Subjects:
Online Access:https://doi.org/10.1002/1878-0261.12670
id doaj-79140506a9e944ca92054b23cfb3fc11
record_format Article
spelling doaj-79140506a9e944ca92054b23cfb3fc112020-11-25T02:36:41ZengWileyMolecular Oncology1574-78911878-02612020-05-0114591793210.1002/1878-0261.12670Mast cell‐based molecular subtypes and signature associated with clinical outcome in early‐stage lung adenocarcinomaXuanwen Bao0Run Shi1Tianyu Zhao2Yanfang Wang3Institute of Radiation Biology Helmholtz Center Munich German Research Center for Environmental Health Neuherberg GermanyDepartment of Radiation Oncology University Hospital Ludwig Maximilian University of Munich GermanyInstitute and Clinic for Occupational, Social and Environmental Medicine University Hospital Ludwig Maximilian University of Munich GermanyLudwig‐Maximilians‐Universität München (LMU) Munich GermanyMast cells are a major component of the immune microenvironment in tumour tissues and modulate tumour progression by releasing pro‐tumorigenic and antitumorigenic molecules. Regarding the impact of mast cells on the outcomes of patients with lung adenocarcinoma (LUAD) patient, several published studies have shown contradictory results. Here, we aimed at elucidating the role of mast cells in early‐stage LUAD. We found that high mast cell abundance was correlated with prolonged survival in early‐stage LUAD patients. The mast cell‐related gene signature and gene mutation data sets were used to stratify early‐stage LUAD patients into two molecular subtypes (subtype 1 and subtype 2). The neural network‐based framework constructed with the mast cell‐related signature showed high accuracy in predicting response to immunotherapy. Importantly, the prognostic mast cell‐related signature predicted the survival probability and the potential relationship between TP53 mutation, c‐MYC activation and mast cell activities. The meta‐analysis confirmed the prognostic value of the mast cell‐related gene signature. In summary, this study might improve our understanding of the role of mast cells in early‐stage LUAD and aid in the development of immunotherapy and personalized treatments for early‐stage LUAD patients.https://doi.org/10.1002/1878-0261.12670early‐stage lung adenocarcinomaimmunotherapymast cellprognosis
collection DOAJ
language English
format Article
sources DOAJ
author Xuanwen Bao
Run Shi
Tianyu Zhao
Yanfang Wang
spellingShingle Xuanwen Bao
Run Shi
Tianyu Zhao
Yanfang Wang
Mast cell‐based molecular subtypes and signature associated with clinical outcome in early‐stage lung adenocarcinoma
Molecular Oncology
early‐stage lung adenocarcinoma
immunotherapy
mast cell
prognosis
author_facet Xuanwen Bao
Run Shi
Tianyu Zhao
Yanfang Wang
author_sort Xuanwen Bao
title Mast cell‐based molecular subtypes and signature associated with clinical outcome in early‐stage lung adenocarcinoma
title_short Mast cell‐based molecular subtypes and signature associated with clinical outcome in early‐stage lung adenocarcinoma
title_full Mast cell‐based molecular subtypes and signature associated with clinical outcome in early‐stage lung adenocarcinoma
title_fullStr Mast cell‐based molecular subtypes and signature associated with clinical outcome in early‐stage lung adenocarcinoma
title_full_unstemmed Mast cell‐based molecular subtypes and signature associated with clinical outcome in early‐stage lung adenocarcinoma
title_sort mast cell‐based molecular subtypes and signature associated with clinical outcome in early‐stage lung adenocarcinoma
publisher Wiley
series Molecular Oncology
issn 1574-7891
1878-0261
publishDate 2020-05-01
description Mast cells are a major component of the immune microenvironment in tumour tissues and modulate tumour progression by releasing pro‐tumorigenic and antitumorigenic molecules. Regarding the impact of mast cells on the outcomes of patients with lung adenocarcinoma (LUAD) patient, several published studies have shown contradictory results. Here, we aimed at elucidating the role of mast cells in early‐stage LUAD. We found that high mast cell abundance was correlated with prolonged survival in early‐stage LUAD patients. The mast cell‐related gene signature and gene mutation data sets were used to stratify early‐stage LUAD patients into two molecular subtypes (subtype 1 and subtype 2). The neural network‐based framework constructed with the mast cell‐related signature showed high accuracy in predicting response to immunotherapy. Importantly, the prognostic mast cell‐related signature predicted the survival probability and the potential relationship between TP53 mutation, c‐MYC activation and mast cell activities. The meta‐analysis confirmed the prognostic value of the mast cell‐related gene signature. In summary, this study might improve our understanding of the role of mast cells in early‐stage LUAD and aid in the development of immunotherapy and personalized treatments for early‐stage LUAD patients.
topic early‐stage lung adenocarcinoma
immunotherapy
mast cell
prognosis
url https://doi.org/10.1002/1878-0261.12670
work_keys_str_mv AT xuanwenbao mastcellbasedmolecularsubtypesandsignatureassociatedwithclinicaloutcomeinearlystagelungadenocarcinoma
AT runshi mastcellbasedmolecularsubtypesandsignatureassociatedwithclinicaloutcomeinearlystagelungadenocarcinoma
AT tianyuzhao mastcellbasedmolecularsubtypesandsignatureassociatedwithclinicaloutcomeinearlystagelungadenocarcinoma
AT yanfangwang mastcellbasedmolecularsubtypesandsignatureassociatedwithclinicaloutcomeinearlystagelungadenocarcinoma
_version_ 1724798689626554368