Image_3_The Predictive Value of PAK7 Mutation for Immune Checkpoint Inhibitors Therapy in Non-Small Cell Cancer.tif
To date, immunotherapy has improved the 5-year survival rate of patients with advanced non-small cell lung cancer (NSCLC) from 4% to 15%. However, only 30%-50% of the NSCLC patients respond to immune checkpoint inhibitors (ICIs) immunotherapy. Therefore, screening patients for potential benefit with precise biomarkers may be of great value.
MethodsFirst, an immunotherapy NSCLC cohort was analyzed to identify the gene mutations associated with the prognosis of ICI treatment. Further analyses were conducted using NSCLC cohort in The Cancer Genome Atlas (TCGA) project to validate the correlations between the specific gene mutations and tumor immunogenicity, antitumor immunity, and alterations in the tumor-related pathways using Cell-type Identification By Estimating Relative Subsets Of RNA Transcripts (CIBERSORT) and Gene set enrichment analysis (GSEA).
ResultsIn the immunotherapy NSCLC cohort (n = 266), significantly longer overall survival (OS) rates were observed in the PAK7-mutant type (PAK7-MT) group (n = 13) than the PAK7-wild type (PAK7-WT) group (n = 253) (P = 0.049, HR = 0.43, 95%CI = 0.23-0.79). In the TCGA cohort, PAK7 mutations were correlated with the higher tumor mutation burden (TMB) (14.18 vs. 7.13, P <0.001), increased neoantigen load (NAL) (7.52 vs. 4.30, P <0.001), lower copy number variation (CNV), and higher mutation rate in the DNA damage response (DDR)-related pathways. In addition, PAK7 mutations were also positively correlated with immune-related genes expressions and infiltrating CD8+ T cells (0.079 vs. 0.054, P = 0.005). GSEA results showed that several tumor-related pathways varied in the PAK7-MT group, suggesting the potential mechanisms that regulate the tumor immune-microenvironment.
ConclusionsThis study suggested that the PAK7 mutations might be a potential biomarker to predict the efficacy of immunotherapy for NSCLC patients. Considering the heterogeneity among the patients and other confounding factors, a prospective clinical trial is proposed to further validate the impact of PAK7 mutation on the immunotherapy outcomes in NSCLC.
History
References
- https://doi.org//10.1038/nrdp.2015.9
- https://doi.org//10.1038/nature13988
- https://doi.org//10.1200/JCO.19.00934
- https://doi.org//10.1186/s13045-016-0268-z
- https://doi.org//10.1056/NEJMoa1716078
- https://doi.org//10.1016/j.jtho.2020.01.017
- https://doi.org//10.1038/s41591-020-01224-2
- https://doi.org//10.1038/s41591-019-0382-x
- https://doi.org//10.1001/jamaoncol.2017.0013
- https://doi.org//10.1093/annonc/mdv489
- https://doi.org//10.1126/science.aar3593
- https://doi.org//10.1001/jamaoncol.2017.4427
- https://doi.org//10.1093/annonc/mdu242
- https://doi.org//10.1158/1078-0432.CCR-16-2554
- https://doi.org//10.1158/2159-8290
- https://doi.org//10.1038/s41588-018-0312-8
- https://doi.org//10.1093/nar/gkv1507
- https://doi.org//10.1016/j.immuni.2018.03.023
- https://doi.org//10.1186/s13073-017-0424-2
- https://doi.org//10.1093/bioinformatics/btw313
- https://doi.org//10.1101/gr.239244.118
- https://doi.org//10.1038/ng0506-500
- https://doi.org//10.1038/nmeth.3337
- https://doi.org//10.1038/s41588-019-0569-6
- https://doi.org//10.1093/bioinformatics/btp616
- https://doi.org//10.1089/omi.2011.0118
- https://doi.org//10.1073/pnas.0506580102
- https://doi.org//10.1158/0008-5472.CAN-18-1814
- https://doi.org//10.1007/s00262-020-02668-8
- https://doi.org//10.1002/ctm2.155
- https://doi.org//10.3389/fgene.2021.669694
- https://doi.org//10.1136/jitc-2020-001792
- https://doi.org//10.1016/j.dnarep.2020.102785
- https://doi.org//10.1126/science.aaf8399
- https://doi.org//10.1158/1078-0432.CCR-19-0558
- https://doi.org//10.1016/j.ctrv.2021.102179
- https://doi.org//10.1158/1078-0432.CCR-18-1102
- https://doi.org//10.1016/j.jss.2018.07.007
- https://doi.org//10.1200/JCO.2017.75.7740
- https://doi.org//10.1158/1078-0432.CCR-19-3529
- https://doi.org//10.1158/1078-0432.CCR-20-2584
- https://doi.org//10.1016/j.stem.2021.04.011
- https://doi.org//10.7150/thno.26888
- https://doi.org//10.3390/diagnostics11040628
- https://doi.org//10.1016/j.ctrv.2017.11.007
- https://doi.org//10.1186/s12885-018-4384-8
- https://doi.org//10.4049/jimmunol.1502376
- https://doi.org//10.1158/2326-6066.CIR-20-0499
- https://doi.org//10.1038/s41591-019-0734-6
- https://doi.org//10.1155/2018/8073124
- https://doi.org//10.1007/s13277-010-0071-3
- https://doi.org//10.1016/j.lfs.2019.117113
- https://doi.org//10.1038/s41418-018-0178-4
- https://doi.org//10.1007/s13277-013-0824-x
- https://doi.org//10.1007/s10014-013-0161-1
- https://doi.org//10.18632/oncotarget.2999
- https://doi.org//10.1038/onc.2015.259
- https://doi.org//10.1186/s13046-017-0610-5
- https://doi.org//10.1038/aps.2013.31
- https://doi.org//10.1111/febs.12048
- https://doi.org//10.1002/jcb.21809
- https://doi.org//10.1074/jbc.M413374200
- https://doi.org//10.1038/nrc3645
- https://doi.org//10.1038/sj.onc.1205478
- https://doi.org//10.1128/MCB.22.2.567-577.2002
- https://doi.org//10.1038/s43018-019-0003-0
- https://doi.org//10.4149/302_151001N511
- https://doi.org//10.1146/annurev-pathol-012615-044446
- https://doi.org//10.1016/j.cell.2016.02.065
- https://doi.org//10.1016/j.cell.2017.01.002
- https://doi.org//10.1038/nature15520
- https://doi.org//10.1016/j.ccell.2017.11.019
- https://doi.org//10.1016/j.ccell.2017.04.003
- https://doi.org//10.1158/1078-0432.CCR-19-1868
- https://doi.org//10.1038/onc.2016.363
- https://doi.org//10.1038/nri2546
- https://doi.org//10.1146/annurev-immunol-020711-075024
- https://doi.org//10.1097/00007890-200004150-00009
- https://doi.org//10.1172/JCI77746
- https://doi.org//10.1172/jci.insight.139237
- https://doi.org//10.1158/1078-0432.CCR-18-2548
- https://doi.org//10.1080/2162402X.2018.1458810
- https://doi.org//10.1158/2326-6066.CIR-15-0252
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Categories
- Transplantation Immunology
- Tumour Immunology
- Immunology not elsewhere classified
- Immunology
- Veterinary Immunology
- Animal Immunology
- Genetic Immunology
- Applied Immunology (incl. Antibody Engineering, Xenotransplantation and T-cell Therapies)
- Autoimmunity
- Cellular Immunology
- Humoural Immunology and Immunochemistry
- Immunogenetics (incl. Genetic Immunology)
- Innate Immunity