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mTOR pathway gene mutations predict response to immune checkpoint inhibitors in multiple cancers
by
Zhou, Yan
, Nie, Wei
, Han, Baohui
, Qiu, Lixin
, Liu, Chenchen
, Bai, Hao
, Cheng, Lei
, Zhong, Hua
, Wang, Yanan
, Zhang, Bo
, Chang, Yuanyuan
, Xiong, Liwen
, Lu, Haijiao
in
AKT1 protein
/ Analysis
/ Antigen presentation
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer
/ CD8 antigen
/ Clinical medicine
/ Clinical trials
/ Combination strategies
/ Dosage and administration
/ Effector cells
/ Fibroblast growth factor 3
/ Fibroblast growth factor receptor 1
/ Fibroblast growth factor receptor 2
/ Fibroblast growth factor receptor 4
/ Gene mutations
/ Genes
/ Genetic aspects
/ Genomes
/ Genotype & phenotype
/ Health aspects
/ ICI
/ Immune checkpoint inhibitors
/ Immune response
/ Infiltration
/ Killer cells
/ Lymphocytes T
/ Macrophages
/ Malignancy
/ Medicine/Public Health
/ Metabolism
/ Metastases
/ Missense mutation
/ Monoclonal antibodies
/ mTOR pathway
/ Mutation
/ Patients
/ PD-1 protein
/ PD-L1 protein
/ Prognosis
/ Survival analysis
/ TMB
/ TOR protein
/ Transcription factors
/ Transcriptomes
/ Tumors
2022
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mTOR pathway gene mutations predict response to immune checkpoint inhibitors in multiple cancers
by
Zhou, Yan
, Nie, Wei
, Han, Baohui
, Qiu, Lixin
, Liu, Chenchen
, Bai, Hao
, Cheng, Lei
, Zhong, Hua
, Wang, Yanan
, Zhang, Bo
, Chang, Yuanyuan
, Xiong, Liwen
, Lu, Haijiao
in
AKT1 protein
/ Analysis
/ Antigen presentation
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer
/ CD8 antigen
/ Clinical medicine
/ Clinical trials
/ Combination strategies
/ Dosage and administration
/ Effector cells
/ Fibroblast growth factor 3
/ Fibroblast growth factor receptor 1
/ Fibroblast growth factor receptor 2
/ Fibroblast growth factor receptor 4
/ Gene mutations
/ Genes
/ Genetic aspects
/ Genomes
/ Genotype & phenotype
/ Health aspects
/ ICI
/ Immune checkpoint inhibitors
/ Immune response
/ Infiltration
/ Killer cells
/ Lymphocytes T
/ Macrophages
/ Malignancy
/ Medicine/Public Health
/ Metabolism
/ Metastases
/ Missense mutation
/ Monoclonal antibodies
/ mTOR pathway
/ Mutation
/ Patients
/ PD-1 protein
/ PD-L1 protein
/ Prognosis
/ Survival analysis
/ TMB
/ TOR protein
/ Transcription factors
/ Transcriptomes
/ Tumors
2022
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mTOR pathway gene mutations predict response to immune checkpoint inhibitors in multiple cancers
by
Zhou, Yan
, Nie, Wei
, Han, Baohui
, Qiu, Lixin
, Liu, Chenchen
, Bai, Hao
, Cheng, Lei
, Zhong, Hua
, Wang, Yanan
, Zhang, Bo
, Chang, Yuanyuan
, Xiong, Liwen
, Lu, Haijiao
in
AKT1 protein
/ Analysis
/ Antigen presentation
/ Biomarkers
/ Biomedical and Life Sciences
/ Biomedicine
/ Cancer
/ CD8 antigen
/ Clinical medicine
/ Clinical trials
/ Combination strategies
/ Dosage and administration
/ Effector cells
/ Fibroblast growth factor 3
/ Fibroblast growth factor receptor 1
/ Fibroblast growth factor receptor 2
/ Fibroblast growth factor receptor 4
/ Gene mutations
/ Genes
/ Genetic aspects
/ Genomes
/ Genotype & phenotype
/ Health aspects
/ ICI
/ Immune checkpoint inhibitors
/ Immune response
/ Infiltration
/ Killer cells
/ Lymphocytes T
/ Macrophages
/ Malignancy
/ Medicine/Public Health
/ Metabolism
/ Metastases
/ Missense mutation
/ Monoclonal antibodies
/ mTOR pathway
/ Mutation
/ Patients
/ PD-1 protein
/ PD-L1 protein
/ Prognosis
/ Survival analysis
/ TMB
/ TOR protein
/ Transcription factors
/ Transcriptomes
/ Tumors
2022
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mTOR pathway gene mutations predict response to immune checkpoint inhibitors in multiple cancers
Journal Article
mTOR pathway gene mutations predict response to immune checkpoint inhibitors in multiple cancers
2022
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Overview
Background
mTOR pathway is known to promote cancer malignancy and influence cancer immunity but is unknown for its role in immune checkpoint inhibitors (ICI) therapy.
Methods
Using Memorial Sloan-Kettering Cancer Center dataset (MSKCC), we extracted mTOR pathway gene mutations for stepwise Cox regression in 1661 cancer patients received ICI. We associated the mutation of the gene signature resulted from the stepwise Cox regression with the 1661 patients’ survival. Other 553 ICI-treated patients were collected from 6 cohorts for validation. We also performed this survival association in patients without ICI treatment from MSKCC as discovery (n = 2244) and The Cancer Genome Atlas (TCGA) as validation (n = 763). Pathway enrichment analysis were performed using transcriptome profiles from TCGA and IMvigor210 trial to investigate the potential mechanism.
Results
We identified 8 genes involved in mTOR pathway, including
FGFR2
,
PIK3C3
,
FGFR4
,
FGFR1
,
FGF3
,
AKT1
,
mTOR
, and
RPTOR
, resulted from stepwise Cox regression in discovery (n = 1661). In both discovery (n = 1661) and validation (n = 553), the mutation of the 8-gene signature was associated with better survival of the patients treated with ICI, which was independent of tumor mutation burden (TMB) and mainly attributed to the missense mutations. This survival association was not observed in patients without ICI therapy. Intriguingly, the mutation of the 8-gene signature was associated with increased TMB and PD1/PD-L1 expression. Immunologically, pathways involved in anti-tumor immune response were enriched in presence of this mutational signature in mTOR pathway, leading to increased infiltration of immune effector cells (e.g., CD8 + T cells, NK cells, and M1 macrophages), but decreased infiltration of immune inhibitory M2 macrophages.
Conclusions
These results suggested that mTOR pathway gene mutations were predictive of better survival upon ICI treatment in multiple cancers, likely by its association with enhanced anti-tumor immunity. Larger studies are warranted to validate our findings.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
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