Yang Zhou, Wei Rao, Zhao Li, Wei Guo, Fei Shao, Zhen Zhang, Hao Zhang, Tiejun Liu, Zitong Li, Fengwei Tan, Qi Xue, Shugeng Gao, Jie He
{"title":"肺腺癌中的IL-1受体相关激酶3(IRAK3)可预测预后和免疫疗法的耐药性:多种炎症相关途径参与其中","authors":"Yang Zhou, Wei Rao, Zhao Li, Wei Guo, Fei Shao, Zhen Zhang, Hao Zhang, Tiejun Liu, Zitong Li, Fengwei Tan, Qi Xue, Shugeng Gao, Jie He","doi":"10.21037/tlcr-24-391","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Lung cancer is a globally prevailing malignancy, and the predominant histological subtype is lung adenocarcinoma (LUAD). IL-1 receptor-associated kinase 3 (<i>IRAK3</i>) has been identified in connection with innate immune and inflammatory response. The aim of this study is to investigate the impact of <i>IRAK3</i> on prognosis and immunotherapy efficacy in LUAD, which remains incompletely elucidated.</p><p><strong>Methods: </strong>Our study delved into multiple online databases to find out expression, methylation and prognostic potentials of <i>IRAK3</i> in LUAD and other malignancies. We employed tissue microarrays to assess IRAK3 protein levels in our LUAD cohort [National Cancer Center (NCC), China] and explore prognostic values. The correlations between <i>IRAK3</i> and immune infiltration based on The Cancer Genome Atlas (TCGA) data were analyzed by corresponding algorithms. The contribution of <i>IRAK3</i> to immunotherapy response was explored through the Tumor Immune Dysfunction and Exclusion (TIDE) algorithm. Both LinkedOmics database and gene set enrichment analysis (GSEA) were applied to investigate how IRAK3 influences the tumor immune microenvironment and regulates immunotherapy response. We applied single-cell RNA sequencing datasets for the investigation of <i>IRAK3</i> expression across diverse immune cells. Moreover, we employed genomics of drug sensitivity in cancer (GDSC) databases to examine how <i>IRKA3</i> expression correlates with different drug responses.</p><p><strong>Results: </strong>Compared with normal tissues, various tumor tissues had lower <i>IRAK3</i> expression which could be regulated by its high methylation level. Reduced IRAK3 protein level was observed to correlate with advanced tumor stages and unfavorable prognosis among patients with LUAD, especially individuals with lymph node metastasis. Gene set enrichment analysis (GSEA) and tumor infiltration analysis proved that <i>IRAK3</i> provoked immune infiltration. Macrophages/monocytes, CD4<sup>+</sup> T cells, CD8<sup>+</sup> T cells and neutrophils correlated significantly with <i>IRAK3</i> expression. With TIDE algorithm, <i>IRAK3</i> was verified to be related to poor immune checkpoint blockade (ICB) response. <i>IRAK3</i> demonstrated positive associations with T-cell dysfunction score and immune checkpoint markers. Conversely, it exhibited negative correlations with microsatellite instability (MSI) and tumor mutation burden (TMB). High <i>IRAK3</i> expression exacerbated cytotoxic T lymphocyte (CTL) dysfunction and predicted immunotherapy resistance by involvement of multiple inflammation-related pathways including IL-6/JAK/STAT3 signaling, inflammatory response and interferon-gamma (IFN-γ) response pathways. Additionally, elevated <i>IRAK3</i> expression was predicted to be related with better responses to chemotherapeutic and molecular targeted drugs.</p><p><strong>Conclusions: </strong>Our findings indicated that <i>IRAK3</i> could function as an independent prognostic predictor and an immunotherapeutic indicator in LUAD through involvement of multiple inflammation-related pathways.</p>","PeriodicalId":23271,"journal":{"name":"Translational lung cancer research","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11484737/pdf/","citationCount":"0","resultStr":"{\"title\":\"IL-1 receptor-associated kinase 3 (IRAK3) in lung adenocarcinoma predicts prognosis and immunotherapy resistance: involvement of multiple inflammation-related pathways.\",\"authors\":\"Yang Zhou, Wei Rao, Zhao Li, Wei Guo, Fei Shao, Zhen Zhang, Hao Zhang, Tiejun Liu, Zitong Li, Fengwei Tan, Qi Xue, Shugeng Gao, Jie He\",\"doi\":\"10.21037/tlcr-24-391\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Lung cancer is a globally prevailing malignancy, and the predominant histological subtype is lung adenocarcinoma (LUAD). IL-1 receptor-associated kinase 3 (<i>IRAK3</i>) has been identified in connection with innate immune and inflammatory response. The aim of this study is to investigate the impact of <i>IRAK3</i> on prognosis and immunotherapy efficacy in LUAD, which remains incompletely elucidated.</p><p><strong>Methods: </strong>Our study delved into multiple online databases to find out expression, methylation and prognostic potentials of <i>IRAK3</i> in LUAD and other malignancies. We employed tissue microarrays to assess IRAK3 protein levels in our LUAD cohort [National Cancer Center (NCC), China] and explore prognostic values. The correlations between <i>IRAK3</i> and immune infiltration based on The Cancer Genome Atlas (TCGA) data were analyzed by corresponding algorithms. The contribution of <i>IRAK3</i> to immunotherapy response was explored through the Tumor Immune Dysfunction and Exclusion (TIDE) algorithm. Both LinkedOmics database and gene set enrichment analysis (GSEA) were applied to investigate how IRAK3 influences the tumor immune microenvironment and regulates immunotherapy response. We applied single-cell RNA sequencing datasets for the investigation of <i>IRAK3</i> expression across diverse immune cells. Moreover, we employed genomics of drug sensitivity in cancer (GDSC) databases to examine how <i>IRKA3</i> expression correlates with different drug responses.</p><p><strong>Results: </strong>Compared with normal tissues, various tumor tissues had lower <i>IRAK3</i> expression which could be regulated by its high methylation level. Reduced IRAK3 protein level was observed to correlate with advanced tumor stages and unfavorable prognosis among patients with LUAD, especially individuals with lymph node metastasis. Gene set enrichment analysis (GSEA) and tumor infiltration analysis proved that <i>IRAK3</i> provoked immune infiltration. Macrophages/monocytes, CD4<sup>+</sup> T cells, CD8<sup>+</sup> T cells and neutrophils correlated significantly with <i>IRAK3</i> expression. With TIDE algorithm, <i>IRAK3</i> was verified to be related to poor immune checkpoint blockade (ICB) response. <i>IRAK3</i> demonstrated positive associations with T-cell dysfunction score and immune checkpoint markers. Conversely, it exhibited negative correlations with microsatellite instability (MSI) and tumor mutation burden (TMB). High <i>IRAK3</i> expression exacerbated cytotoxic T lymphocyte (CTL) dysfunction and predicted immunotherapy resistance by involvement of multiple inflammation-related pathways including IL-6/JAK/STAT3 signaling, inflammatory response and interferon-gamma (IFN-γ) response pathways. Additionally, elevated <i>IRAK3</i> expression was predicted to be related with better responses to chemotherapeutic and molecular targeted drugs.</p><p><strong>Conclusions: </strong>Our findings indicated that <i>IRAK3</i> could function as an independent prognostic predictor and an immunotherapeutic indicator in LUAD through involvement of multiple inflammation-related pathways.</p>\",\"PeriodicalId\":23271,\"journal\":{\"name\":\"Translational lung cancer research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-09-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11484737/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Translational lung cancer research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.21037/tlcr-24-391\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/9/12 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Translational lung cancer research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.21037/tlcr-24-391","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/12 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
IL-1 receptor-associated kinase 3 (IRAK3) in lung adenocarcinoma predicts prognosis and immunotherapy resistance: involvement of multiple inflammation-related pathways.
Background: Lung cancer is a globally prevailing malignancy, and the predominant histological subtype is lung adenocarcinoma (LUAD). IL-1 receptor-associated kinase 3 (IRAK3) has been identified in connection with innate immune and inflammatory response. The aim of this study is to investigate the impact of IRAK3 on prognosis and immunotherapy efficacy in LUAD, which remains incompletely elucidated.
Methods: Our study delved into multiple online databases to find out expression, methylation and prognostic potentials of IRAK3 in LUAD and other malignancies. We employed tissue microarrays to assess IRAK3 protein levels in our LUAD cohort [National Cancer Center (NCC), China] and explore prognostic values. The correlations between IRAK3 and immune infiltration based on The Cancer Genome Atlas (TCGA) data were analyzed by corresponding algorithms. The contribution of IRAK3 to immunotherapy response was explored through the Tumor Immune Dysfunction and Exclusion (TIDE) algorithm. Both LinkedOmics database and gene set enrichment analysis (GSEA) were applied to investigate how IRAK3 influences the tumor immune microenvironment and regulates immunotherapy response. We applied single-cell RNA sequencing datasets for the investigation of IRAK3 expression across diverse immune cells. Moreover, we employed genomics of drug sensitivity in cancer (GDSC) databases to examine how IRKA3 expression correlates with different drug responses.
Results: Compared with normal tissues, various tumor tissues had lower IRAK3 expression which could be regulated by its high methylation level. Reduced IRAK3 protein level was observed to correlate with advanced tumor stages and unfavorable prognosis among patients with LUAD, especially individuals with lymph node metastasis. Gene set enrichment analysis (GSEA) and tumor infiltration analysis proved that IRAK3 provoked immune infiltration. Macrophages/monocytes, CD4+ T cells, CD8+ T cells and neutrophils correlated significantly with IRAK3 expression. With TIDE algorithm, IRAK3 was verified to be related to poor immune checkpoint blockade (ICB) response. IRAK3 demonstrated positive associations with T-cell dysfunction score and immune checkpoint markers. Conversely, it exhibited negative correlations with microsatellite instability (MSI) and tumor mutation burden (TMB). High IRAK3 expression exacerbated cytotoxic T lymphocyte (CTL) dysfunction and predicted immunotherapy resistance by involvement of multiple inflammation-related pathways including IL-6/JAK/STAT3 signaling, inflammatory response and interferon-gamma (IFN-γ) response pathways. Additionally, elevated IRAK3 expression was predicted to be related with better responses to chemotherapeutic and molecular targeted drugs.
Conclusions: Our findings indicated that IRAK3 could function as an independent prognostic predictor and an immunotherapeutic indicator in LUAD through involvement of multiple inflammation-related pathways.
期刊介绍:
Translational Lung Cancer Research(TLCR, Transl Lung Cancer Res, Print ISSN 2218-6751; Online ISSN 2226-4477) is an international, peer-reviewed, open-access journal, which was founded in March 2012. TLCR is indexed by PubMed/PubMed Central and the Chemical Abstracts Service (CAS) Databases. It is published quarterly the first year, and published bimonthly since February 2013. It provides practical up-to-date information on prevention, early detection, diagnosis, and treatment of lung cancer. Specific areas of its interest include, but not limited to, multimodality therapy, markers, imaging, tumor biology, pathology, chemoprevention, and technical advances related to lung cancer.