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Comprehensive Analysis of the Immune Implication of ACK1 Gene in Non-small Cell Lung Cancer

Activated Cdc42-associated kinase1 (ACK1), a non-receptor tyrosine kinase, has been considered as an oncogene and therapeutic target in various cancers. However, its contribution to cancer immunity remains uncertain. Here we first compared the profiles of immune cells in cancerous and normal tissues...

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Detalles Bibliográficos
Autores principales: Zhu, Jinhong, Liu, Yang, Ao, Haijiao, Liu, Mingdong, Zhao, Meng, Ma, Jianqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7390926/
https://www.ncbi.nlm.nih.gov/pubmed/32793482
http://dx.doi.org/10.3389/fonc.2020.01132
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author Zhu, Jinhong
Liu, Yang
Ao, Haijiao
Liu, Mingdong
Zhao, Meng
Ma, Jianqun
author_facet Zhu, Jinhong
Liu, Yang
Ao, Haijiao
Liu, Mingdong
Zhao, Meng
Ma, Jianqun
author_sort Zhu, Jinhong
collection PubMed
description Activated Cdc42-associated kinase1 (ACK1), a non-receptor tyrosine kinase, has been considered as an oncogene and therapeutic target in various cancers. However, its contribution to cancer immunity remains uncertain. Here we first compared the profiles of immune cells in cancerous and normal tissues in The Cancer Genome Atlas (TCGA) lung cancer cohorts. Next, we found that the immune cell infiltration levels were associated with the ACK1 gene copy numbers in lung cancer. Consistently, our RNA-seq data unveiled that the silencing of ACK1 upregulated several immune pathways in lung cancer cells, including the T cell receptor signaling pathway. The impacts of ACK1 on immune activity were validated by Gene Set Enrichment Analysis of RNA-seq data of 188 lung cancer cell lines from the public database. A pathway enrichment analysis of 35 ACK1-associated immunomodulators and 50 tightly correlated genes indicated the involvement of the PI3K-Akt and Ras signaling pathways. Based on ACK1-associated immunomodulators, we established multiple-gene risk prediction signatures using the Cox regression model. The resulting risk scores were an independent prognosis predictor in the TCGA lung cohorts. We also accessed the prognostic accuracy of the risk scores with a receiver operating characteristic methodology. Finally, a prognostic nomogram, accompanied by a calibration curve, was constructed to predict individuals' 3- and 5-year survival probabilities. Our findings provided evidence of ACK1's implication in tumor immunity, suggesting that ACK1 may be a potential immunotherapeutic target for non-small cell lung cancer (NSCLC). The nominated immune signature is a promising prognostic biomarker in NSCLC.
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spelling pubmed-73909262020-08-12 Comprehensive Analysis of the Immune Implication of ACK1 Gene in Non-small Cell Lung Cancer Zhu, Jinhong Liu, Yang Ao, Haijiao Liu, Mingdong Zhao, Meng Ma, Jianqun Front Oncol Oncology Activated Cdc42-associated kinase1 (ACK1), a non-receptor tyrosine kinase, has been considered as an oncogene and therapeutic target in various cancers. However, its contribution to cancer immunity remains uncertain. Here we first compared the profiles of immune cells in cancerous and normal tissues in The Cancer Genome Atlas (TCGA) lung cancer cohorts. Next, we found that the immune cell infiltration levels were associated with the ACK1 gene copy numbers in lung cancer. Consistently, our RNA-seq data unveiled that the silencing of ACK1 upregulated several immune pathways in lung cancer cells, including the T cell receptor signaling pathway. The impacts of ACK1 on immune activity were validated by Gene Set Enrichment Analysis of RNA-seq data of 188 lung cancer cell lines from the public database. A pathway enrichment analysis of 35 ACK1-associated immunomodulators and 50 tightly correlated genes indicated the involvement of the PI3K-Akt and Ras signaling pathways. Based on ACK1-associated immunomodulators, we established multiple-gene risk prediction signatures using the Cox regression model. The resulting risk scores were an independent prognosis predictor in the TCGA lung cohorts. We also accessed the prognostic accuracy of the risk scores with a receiver operating characteristic methodology. Finally, a prognostic nomogram, accompanied by a calibration curve, was constructed to predict individuals' 3- and 5-year survival probabilities. Our findings provided evidence of ACK1's implication in tumor immunity, suggesting that ACK1 may be a potential immunotherapeutic target for non-small cell lung cancer (NSCLC). The nominated immune signature is a promising prognostic biomarker in NSCLC. Frontiers Media S.A. 2020-07-23 /pmc/articles/PMC7390926/ /pubmed/32793482 http://dx.doi.org/10.3389/fonc.2020.01132 Text en Copyright © 2020 Zhu, Liu, Ao, Liu, Zhao and Ma. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Zhu, Jinhong
Liu, Yang
Ao, Haijiao
Liu, Mingdong
Zhao, Meng
Ma, Jianqun
Comprehensive Analysis of the Immune Implication of ACK1 Gene in Non-small Cell Lung Cancer
title Comprehensive Analysis of the Immune Implication of ACK1 Gene in Non-small Cell Lung Cancer
title_full Comprehensive Analysis of the Immune Implication of ACK1 Gene in Non-small Cell Lung Cancer
title_fullStr Comprehensive Analysis of the Immune Implication of ACK1 Gene in Non-small Cell Lung Cancer
title_full_unstemmed Comprehensive Analysis of the Immune Implication of ACK1 Gene in Non-small Cell Lung Cancer
title_short Comprehensive Analysis of the Immune Implication of ACK1 Gene in Non-small Cell Lung Cancer
title_sort comprehensive analysis of the immune implication of ack1 gene in non-small cell lung cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7390926/
https://www.ncbi.nlm.nih.gov/pubmed/32793482
http://dx.doi.org/10.3389/fonc.2020.01132
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