Development and Validation of an Immune-Related Signature for the Prediction of Recurrence Risk of Patients With Laryngeal Cancer

ObjectiveOur purpose was to develop and verify an immune-related signature for predicting recurrence risk of patients with laryngeal cancer.MethodsRNA-seq data of 51 recurrence and 81 non-recurrence laryngeal cancer samples were downloaded from TCGA database, as the training set. Microarray data of...

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Main Authors: Hang Zhang, Xudong Zhao, Jin Wang, Wenyue Ji
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-12-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.683915/full
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author Hang Zhang
Xudong Zhao
Jin Wang
Wenyue Ji
author_facet Hang Zhang
Xudong Zhao
Jin Wang
Wenyue Ji
author_sort Hang Zhang
collection DOAJ
description ObjectiveOur purpose was to develop and verify an immune-related signature for predicting recurrence risk of patients with laryngeal cancer.MethodsRNA-seq data of 51 recurrence and 81 non-recurrence laryngeal cancer samples were downloaded from TCGA database, as the training set. Microarray data of 34 recurrence and 75 non-recurrence cancer samples were obtained from GEO dataset, as the validation set. Single factor cox regression was utilized to screen prognosis-related immune genes. After LASSO regression analysis, an immune-related signature was constructed. Recurrence free survival (RFS) between high- and low- recurrence risk patients was presented, followed by ROC. We also evaluated the correlation between immune infiltration and the signature using the CIBERSORT algorithm. The genes in the signature were validated in laryngeal cancer tissues by western blot or RT-qPCR. After RCN1 knockdown, migration and invasion of laryngeal cancer cells were investigated.ResultsTotally, 43 prognosis-related immune genes were identified for laryngeal cancer. Among them, eight genes were used for constructing a prognostic signature. High risk group exhibited a higher recurrence risk than low risk group. The AUC for 1-year was separately 0.803 and 0.715 in the training and verification sets, suggesting its well efficacy for predicting the recurrence. Furthermore, this signature was closely related to distinct immune cell infiltration. RCN1, DNAJA2, LASP1 and IBSP were up-regulated in laryngeal cancer. RCN1 knockdown restrained migrated and invasive abilities of laryngeal cancer cells.ConclusionOur findings identify a reliable immune-related signature that can predict the recurrence risk of patients with laryngeal cancer.
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spelling doaj.art-4618d7f84c7d45ae914f50ebe388b32f2022-12-21T18:43:43ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2021-12-011110.3389/fonc.2021.683915683915Development and Validation of an Immune-Related Signature for the Prediction of Recurrence Risk of Patients With Laryngeal CancerHang ZhangXudong ZhaoJin WangWenyue JiObjectiveOur purpose was to develop and verify an immune-related signature for predicting recurrence risk of patients with laryngeal cancer.MethodsRNA-seq data of 51 recurrence and 81 non-recurrence laryngeal cancer samples were downloaded from TCGA database, as the training set. Microarray data of 34 recurrence and 75 non-recurrence cancer samples were obtained from GEO dataset, as the validation set. Single factor cox regression was utilized to screen prognosis-related immune genes. After LASSO regression analysis, an immune-related signature was constructed. Recurrence free survival (RFS) between high- and low- recurrence risk patients was presented, followed by ROC. We also evaluated the correlation between immune infiltration and the signature using the CIBERSORT algorithm. The genes in the signature were validated in laryngeal cancer tissues by western blot or RT-qPCR. After RCN1 knockdown, migration and invasion of laryngeal cancer cells were investigated.ResultsTotally, 43 prognosis-related immune genes were identified for laryngeal cancer. Among them, eight genes were used for constructing a prognostic signature. High risk group exhibited a higher recurrence risk than low risk group. The AUC for 1-year was separately 0.803 and 0.715 in the training and verification sets, suggesting its well efficacy for predicting the recurrence. Furthermore, this signature was closely related to distinct immune cell infiltration. RCN1, DNAJA2, LASP1 and IBSP were up-regulated in laryngeal cancer. RCN1 knockdown restrained migrated and invasive abilities of laryngeal cancer cells.ConclusionOur findings identify a reliable immune-related signature that can predict the recurrence risk of patients with laryngeal cancer.https://www.frontiersin.org/articles/10.3389/fonc.2021.683915/fulllaryngeal cancerrecurrenceimmunesignatureprognosis
spellingShingle Hang Zhang
Xudong Zhao
Jin Wang
Wenyue Ji
Development and Validation of an Immune-Related Signature for the Prediction of Recurrence Risk of Patients With Laryngeal Cancer
Frontiers in Oncology
laryngeal cancer
recurrence
immune
signature
prognosis
title Development and Validation of an Immune-Related Signature for the Prediction of Recurrence Risk of Patients With Laryngeal Cancer
title_full Development and Validation of an Immune-Related Signature for the Prediction of Recurrence Risk of Patients With Laryngeal Cancer
title_fullStr Development and Validation of an Immune-Related Signature for the Prediction of Recurrence Risk of Patients With Laryngeal Cancer
title_full_unstemmed Development and Validation of an Immune-Related Signature for the Prediction of Recurrence Risk of Patients With Laryngeal Cancer
title_short Development and Validation of an Immune-Related Signature for the Prediction of Recurrence Risk of Patients With Laryngeal Cancer
title_sort development and validation of an immune related signature for the prediction of recurrence risk of patients with laryngeal cancer
topic laryngeal cancer
recurrence
immune
signature
prognosis
url https://www.frontiersin.org/articles/10.3389/fonc.2021.683915/full
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