Computational recognition of LncRNA signatures in tumor-associated neutrophils could have implications for immunotherapy and prognostic outcome of non-small cell lung cancer

Cancer immune function and tumor microenvironment are governed by long noncoding RNAs (lncRNAs). Nevertheless, it has yet to be established whether lncRNAs play a role in tumor-associated neutrophils (TANs). Here, a computing framework based on machine learning was used to identify neutrophil-specif...

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Main Authors: Zhuoran Tang, Qi Wang, Peixin Chen, Haoyue Guo, Jinpeng Shi, Yingying Pan, Chunyu Li, Caicun Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.1002699/full
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author Zhuoran Tang
Qi Wang
Peixin Chen
Haoyue Guo
Jinpeng Shi
Yingying Pan
Chunyu Li
Caicun Zhou
author_facet Zhuoran Tang
Qi Wang
Peixin Chen
Haoyue Guo
Jinpeng Shi
Yingying Pan
Chunyu Li
Caicun Zhou
author_sort Zhuoran Tang
collection DOAJ
description Cancer immune function and tumor microenvironment are governed by long noncoding RNAs (lncRNAs). Nevertheless, it has yet to be established whether lncRNAs play a role in tumor-associated neutrophils (TANs). Here, a computing framework based on machine learning was used to identify neutrophil-specific lncRNA with prognostic significance in squamous cell carcinoma and lung adenocarcinoma using univariate Cox regression to comprehensively analyze immune, lncRNA, and clinical characteristics. The risk score was determined using LASSO Cox regression analysis. Meanwhile, we named this risk score as “TANlncSig.” TANlncSig was able to distinguish between better and worse survival outcomes in various patient datasets independently of other clinical variables. Functional assessment of TANlncSig showed it is a marker of myeloid cell infiltration into tumor infiltration and myeloid cells directly or indirectly inhibit the anti-tumor immune response by secreting cytokines, expressing immunosuppressive receptors, and altering metabolic processes. Our findings highlighted the value of TANlncSig in TME as a marker of immune cell infiltration and showed the values of lncRNAs as indicators of immunotherapy.
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spelling doaj.art-016b5a5511d742a7a73d327713c731822022-12-22T03:54:03ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-10-011310.3389/fgene.2022.10026991002699Computational recognition of LncRNA signatures in tumor-associated neutrophils could have implications for immunotherapy and prognostic outcome of non-small cell lung cancerZhuoran Tang0Qi Wang1Peixin Chen2Haoyue Guo3Jinpeng Shi4Yingying Pan5Chunyu Li6Caicun Zhou7Tongji University Medical School Cancer Institute, Tongji University, Shanghai, ChinaDepartment of Medical Oncology, Tongji University Affiliated Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University, Shanghai, ChinaTongji University Medical School Cancer Institute, Tongji University, Shanghai, ChinaTongji University Medical School Cancer Institute, Tongji University, Shanghai, ChinaTongji University Medical School Cancer Institute, Tongji University, Shanghai, ChinaTongji University Medical School Cancer Institute, Tongji University, Shanghai, ChinaDepartment of Integrated Traditional Chinese and Western Medicine, International Medical School, Tianjin Medical University, Tianjin, ChinaDepartment of Medical Oncology, Tongji University Affiliated Shanghai Pulmonary Hospital, Tongji University Medical School Cancer Institute, Tongji University, Shanghai, ChinaCancer immune function and tumor microenvironment are governed by long noncoding RNAs (lncRNAs). Nevertheless, it has yet to be established whether lncRNAs play a role in tumor-associated neutrophils (TANs). Here, a computing framework based on machine learning was used to identify neutrophil-specific lncRNA with prognostic significance in squamous cell carcinoma and lung adenocarcinoma using univariate Cox regression to comprehensively analyze immune, lncRNA, and clinical characteristics. The risk score was determined using LASSO Cox regression analysis. Meanwhile, we named this risk score as “TANlncSig.” TANlncSig was able to distinguish between better and worse survival outcomes in various patient datasets independently of other clinical variables. Functional assessment of TANlncSig showed it is a marker of myeloid cell infiltration into tumor infiltration and myeloid cells directly or indirectly inhibit the anti-tumor immune response by secreting cytokines, expressing immunosuppressive receptors, and altering metabolic processes. Our findings highlighted the value of TANlncSig in TME as a marker of immune cell infiltration and showed the values of lncRNAs as indicators of immunotherapy.https://www.frontiersin.org/articles/10.3389/fgene.2022.1002699/fullnon-small cell lung cancertumor-associated neutrophilslong noncoding RNAimmunotherapycomputational recognition
spellingShingle Zhuoran Tang
Qi Wang
Peixin Chen
Haoyue Guo
Jinpeng Shi
Yingying Pan
Chunyu Li
Caicun Zhou
Computational recognition of LncRNA signatures in tumor-associated neutrophils could have implications for immunotherapy and prognostic outcome of non-small cell lung cancer
Frontiers in Genetics
non-small cell lung cancer
tumor-associated neutrophils
long noncoding RNA
immunotherapy
computational recognition
title Computational recognition of LncRNA signatures in tumor-associated neutrophils could have implications for immunotherapy and prognostic outcome of non-small cell lung cancer
title_full Computational recognition of LncRNA signatures in tumor-associated neutrophils could have implications for immunotherapy and prognostic outcome of non-small cell lung cancer
title_fullStr Computational recognition of LncRNA signatures in tumor-associated neutrophils could have implications for immunotherapy and prognostic outcome of non-small cell lung cancer
title_full_unstemmed Computational recognition of LncRNA signatures in tumor-associated neutrophils could have implications for immunotherapy and prognostic outcome of non-small cell lung cancer
title_short Computational recognition of LncRNA signatures in tumor-associated neutrophils could have implications for immunotherapy and prognostic outcome of non-small cell lung cancer
title_sort computational recognition of lncrna signatures in tumor associated neutrophils could have implications for immunotherapy and prognostic outcome of non small cell lung cancer
topic non-small cell lung cancer
tumor-associated neutrophils
long noncoding RNA
immunotherapy
computational recognition
url https://www.frontiersin.org/articles/10.3389/fgene.2022.1002699/full
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