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Published in: Journal of Translational Medicine 1/2022

Open Access 01-12-2022 | Checkpoint Inhibitors | Research

mTOR pathway gene mutations predict response to immune checkpoint inhibitors in multiple cancers

Authors: Lei Cheng, Yanan Wang, Lixin Qiu, Yuanyuan Chang, Haijiao Lu, Chenchen Liu, Bo Zhang, Yan Zhou, Hao Bai, Liwen Xiong, Hua Zhong, Wei Nie, Baohui Han

Published in: Journal of Translational Medicine | Issue 1/2022

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Abstract

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.
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Literature
Metadata
Title
mTOR pathway gene mutations predict response to immune checkpoint inhibitors in multiple cancers
Authors
Lei Cheng
Yanan Wang
Lixin Qiu
Yuanyuan Chang
Haijiao Lu
Chenchen Liu
Bo Zhang
Yan Zhou
Hao Bai
Liwen Xiong
Hua Zhong
Wei Nie
Baohui Han
Publication date
01-12-2022
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2022
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-022-03436-1

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