Discovery of tumor immune infiltration-related snoRNAs for predicting tumor immune microenvironment status and prognosis in lung adenocarcinoma

Lung adenocarcinoma (LUAD) has a high mortality rate and is difficult to diagnose and treat in its early stage. Previous studies have demonstrated that small nucleolar RNAs (snoRNAs) play a critical role in tumor immune infiltration and the development of a variety of solid tumors. However, there ha...

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Autores principales: Rongjun Wan, Lu Bai, Changjing Cai, Wang Ya, Juan Jiang, Chengping Hu, Qiong Chen, Bingrong Zhao, Yuanyuan Li
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Publicado: Elsevier 2021
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spelling oai:doaj.org-article:db35a153aca74ffbbb2437c2c174395a2021-12-04T04:33:34ZDiscovery of tumor immune infiltration-related snoRNAs for predicting tumor immune microenvironment status and prognosis in lung adenocarcinoma2001-037010.1016/j.csbj.2021.11.032https://doaj.org/article/db35a153aca74ffbbb2437c2c174395a2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2001037021004979https://doaj.org/toc/2001-0370Lung adenocarcinoma (LUAD) has a high mortality rate and is difficult to diagnose and treat in its early stage. Previous studies have demonstrated that small nucleolar RNAs (snoRNAs) play a critical role in tumor immune infiltration and the development of a variety of solid tumors. However, there have been no studies on the correlation between tumor-infiltrating immune-related snoRNAs (TIISRs) and LUAD.In this study, we filtered six immune-related snoRNAs based on the tissue specificity index (TSI) and expression profile of all snoRNAs between all LUAD cell lines from the Cancer Cell Line Encyclopedia and 21 types of immune cells from the Gene Expression Omnibus database. Further, we performed real-time quantitative polymerase chain reaction (RT-qPCR) to validate the expression status of these snoRNAs on peripheral blood mononuclear cells (PBMCs) and lung cancer cell lines. Next, we developed a TIISR signature based on the expression profiles of snoRNAs from 479 LUAD patients filtered by the random survival forest algorithm. We then analyzed the value of this TIISR signature (TIISR risk score) for assessing tumor immune infiltration, immune checkpoint inhibitor (ICI) treatment response, and the prognosis of LUAD between groups with high and low TIISR risk score. Further, we found that the TIISR risk score groups showed significant differences in biological characteristics and that the risk score could be used to assess the level of tumor immune cell infiltration, thereby predicting prognosis and responsiveness to immunotherapy in LUAD patients.Rongjun WanLu BaiChangjing CaiWang YaJuan JiangChengping HuQiong ChenBingrong ZhaoYuanyuan LiElsevierarticleSmall nucleolar RNAsLung adenocarcinomaTumor cell immune infiltrationTIISR signatureImmune checkpointsBiotechnologyTP248.13-248.65ENComputational and Structural Biotechnology Journal, Vol 19, Iss , Pp 6386-6399 (2021)
institution DOAJ
collection DOAJ
language EN
topic Small nucleolar RNAs
Lung adenocarcinoma
Tumor cell immune infiltration
TIISR signature
Immune checkpoints
Biotechnology
TP248.13-248.65
spellingShingle Small nucleolar RNAs
Lung adenocarcinoma
Tumor cell immune infiltration
TIISR signature
Immune checkpoints
Biotechnology
TP248.13-248.65
Rongjun Wan
Lu Bai
Changjing Cai
Wang Ya
Juan Jiang
Chengping Hu
Qiong Chen
Bingrong Zhao
Yuanyuan Li
Discovery of tumor immune infiltration-related snoRNAs for predicting tumor immune microenvironment status and prognosis in lung adenocarcinoma
description Lung adenocarcinoma (LUAD) has a high mortality rate and is difficult to diagnose and treat in its early stage. Previous studies have demonstrated that small nucleolar RNAs (snoRNAs) play a critical role in tumor immune infiltration and the development of a variety of solid tumors. However, there have been no studies on the correlation between tumor-infiltrating immune-related snoRNAs (TIISRs) and LUAD.In this study, we filtered six immune-related snoRNAs based on the tissue specificity index (TSI) and expression profile of all snoRNAs between all LUAD cell lines from the Cancer Cell Line Encyclopedia and 21 types of immune cells from the Gene Expression Omnibus database. Further, we performed real-time quantitative polymerase chain reaction (RT-qPCR) to validate the expression status of these snoRNAs on peripheral blood mononuclear cells (PBMCs) and lung cancer cell lines. Next, we developed a TIISR signature based on the expression profiles of snoRNAs from 479 LUAD patients filtered by the random survival forest algorithm. We then analyzed the value of this TIISR signature (TIISR risk score) for assessing tumor immune infiltration, immune checkpoint inhibitor (ICI) treatment response, and the prognosis of LUAD between groups with high and low TIISR risk score. Further, we found that the TIISR risk score groups showed significant differences in biological characteristics and that the risk score could be used to assess the level of tumor immune cell infiltration, thereby predicting prognosis and responsiveness to immunotherapy in LUAD patients.
format article
author Rongjun Wan
Lu Bai
Changjing Cai
Wang Ya
Juan Jiang
Chengping Hu
Qiong Chen
Bingrong Zhao
Yuanyuan Li
author_facet Rongjun Wan
Lu Bai
Changjing Cai
Wang Ya
Juan Jiang
Chengping Hu
Qiong Chen
Bingrong Zhao
Yuanyuan Li
author_sort Rongjun Wan
title Discovery of tumor immune infiltration-related snoRNAs for predicting tumor immune microenvironment status and prognosis in lung adenocarcinoma
title_short Discovery of tumor immune infiltration-related snoRNAs for predicting tumor immune microenvironment status and prognosis in lung adenocarcinoma
title_full Discovery of tumor immune infiltration-related snoRNAs for predicting tumor immune microenvironment status and prognosis in lung adenocarcinoma
title_fullStr Discovery of tumor immune infiltration-related snoRNAs for predicting tumor immune microenvironment status and prognosis in lung adenocarcinoma
title_full_unstemmed Discovery of tumor immune infiltration-related snoRNAs for predicting tumor immune microenvironment status and prognosis in lung adenocarcinoma
title_sort discovery of tumor immune infiltration-related snornas for predicting tumor immune microenvironment status and prognosis in lung adenocarcinoma
publisher Elsevier
publishDate 2021
url https://doaj.org/article/db35a153aca74ffbbb2437c2c174395a
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AT changjingcai discoveryoftumorimmuneinfiltrationrelatedsnornasforpredictingtumorimmunemicroenvironmentstatusandprognosisinlungadenocarcinoma
AT wangya discoveryoftumorimmuneinfiltrationrelatedsnornasforpredictingtumorimmunemicroenvironmentstatusandprognosisinlungadenocarcinoma
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AT qiongchen discoveryoftumorimmuneinfiltrationrelatedsnornasforpredictingtumorimmunemicroenvironmentstatusandprognosisinlungadenocarcinoma
AT bingrongzhao discoveryoftumorimmuneinfiltrationrelatedsnornasforpredictingtumorimmunemicroenvironmentstatusandprognosisinlungadenocarcinoma
AT yuanyuanli discoveryoftumorimmuneinfiltrationrelatedsnornasforpredictingtumorimmunemicroenvironmentstatusandprognosisinlungadenocarcinoma
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