Explore association of genes in PDL1/PD1 pathway to radiotherapy survival benefit based on interaction model strategy

Abstract Purpose To explore the association of genes in “PD-L1 expression and PD-1 check point pathway in cancer” to radiotherapy survival benefit. Methods and materials Gene expression data and clinical information of cancers were downloaded from TCGA. Radiotherapy survival benefit was defined base...

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Autores principales:	Junjie Shen, Jingfang Liu, Huijun Li, Lu Bai, Zixuan Du, Ruirui Geng, Jianping Cao, Peng Sun, Zaixiang Tang
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Cancers Radio-sensitivity Gene biomarkers PD-1 check point pathway Interaction model Medical physics. Medical radiology. Nuclear medicine R895-920 Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/8bcd850508ec43e883b408d9504bba18
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spelling	oai:doaj.org-article:8bcd850508ec43e883b408d9504bba182021-11-21T12:14:02ZExplore association of genes in PDL1/PD1 pathway to radiotherapy survival benefit based on interaction model strategy10.1186/s13014-021-01951-x1748-717Xhttps://doaj.org/article/8bcd850508ec43e883b408d9504bba182021-11-01T00:00:00Zhttps://doi.org/10.1186/s13014-021-01951-xhttps://doaj.org/toc/1748-717XAbstract Purpose To explore the association of genes in “PD-L1 expression and PD-1 check point pathway in cancer” to radiotherapy survival benefit. Methods and materials Gene expression data and clinical information of cancers were downloaded from TCGA. Radiotherapy survival benefit was defined based on interaction model. Fast backward multivariate Cox regression was performed using stacking multiple interpolation data to identify radio-sensitive (RS) genes. Results Among the 73 genes in PD-L1/PD-1 pathway, we identified 24 RS genes in BRCA data set, 25 RS genes in STAD data set and 20 RS genes in HNSC data set, with some crossover genes. Theoretically, there are two types of RS genes. The expression level of Type I RS genes did not affect patients' overall survival (OS), but when receiving radiotherapy, patients with different expression level of Type I RS genes had varied survival benefit. Oppositely, Type II RS genes affected patients' OS. And when receiving radiotherapy, those with lower OS could benefit a lot. Type II RS genes in BRCA had strong positive correlation and closely biological interactions. When performing cluster analysis using these related Type II RS genes, patients could be divided into RS group and non-RS group in BRCA and METABRIC data sets. Conclusions Our study explored potential radio-sensitive biomarkers of several main cancer types in an important tumor immune checkpoint pathway and revealed a strong association between this pathway and radiotherapy survival benefit. New types of RS genes could be identified based on expanded definition to RS genes.Junjie ShenJingfang LiuHuijun LiLu BaiZixuan DuRuirui GengJianping CaoPeng SunZaixiang TangBMCarticleCancersRadio-sensitivityGene biomarkersPD-1 check point pathwayInteraction modelMedical physics. Medical radiology. Nuclear medicineR895-920Neoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENRadiation Oncology, Vol 16, Iss 1, Pp 1-19 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cancers Radio-sensitivity Gene biomarkers PD-1 check point pathway Interaction model Medical physics. Medical radiology. Nuclear medicine R895-920 Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	Cancers Radio-sensitivity Gene biomarkers PD-1 check point pathway Interaction model Medical physics. Medical radiology. Nuclear medicine R895-920 Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Junjie Shen Jingfang Liu Huijun Li Lu Bai Zixuan Du Ruirui Geng Jianping Cao Peng Sun Zaixiang Tang Explore association of genes in PDL1/PD1 pathway to radiotherapy survival benefit based on interaction model strategy
description	Abstract Purpose To explore the association of genes in “PD-L1 expression and PD-1 check point pathway in cancer” to radiotherapy survival benefit. Methods and materials Gene expression data and clinical information of cancers were downloaded from TCGA. Radiotherapy survival benefit was defined based on interaction model. Fast backward multivariate Cox regression was performed using stacking multiple interpolation data to identify radio-sensitive (RS) genes. Results Among the 73 genes in PD-L1/PD-1 pathway, we identified 24 RS genes in BRCA data set, 25 RS genes in STAD data set and 20 RS genes in HNSC data set, with some crossover genes. Theoretically, there are two types of RS genes. The expression level of Type I RS genes did not affect patients' overall survival (OS), but when receiving radiotherapy, patients with different expression level of Type I RS genes had varied survival benefit. Oppositely, Type II RS genes affected patients' OS. And when receiving radiotherapy, those with lower OS could benefit a lot. Type II RS genes in BRCA had strong positive correlation and closely biological interactions. When performing cluster analysis using these related Type II RS genes, patients could be divided into RS group and non-RS group in BRCA and METABRIC data sets. Conclusions Our study explored potential radio-sensitive biomarkers of several main cancer types in an important tumor immune checkpoint pathway and revealed a strong association between this pathway and radiotherapy survival benefit. New types of RS genes could be identified based on expanded definition to RS genes.
format	article
author	Junjie Shen Jingfang Liu Huijun Li Lu Bai Zixuan Du Ruirui Geng Jianping Cao Peng Sun Zaixiang Tang
author_facet	Junjie Shen Jingfang Liu Huijun Li Lu Bai Zixuan Du Ruirui Geng Jianping Cao Peng Sun Zaixiang Tang
author_sort	Junjie Shen
title	Explore association of genes in PDL1/PD1 pathway to radiotherapy survival benefit based on interaction model strategy
title_short	Explore association of genes in PDL1/PD1 pathway to radiotherapy survival benefit based on interaction model strategy
title_full	Explore association of genes in PDL1/PD1 pathway to radiotherapy survival benefit based on interaction model strategy
title_fullStr	Explore association of genes in PDL1/PD1 pathway to radiotherapy survival benefit based on interaction model strategy
title_full_unstemmed	Explore association of genes in PDL1/PD1 pathway to radiotherapy survival benefit based on interaction model strategy
title_sort	explore association of genes in pdl1/pd1 pathway to radiotherapy survival benefit based on interaction model strategy
publisher	BMC
publishDate	2021
url	https://doaj.org/article/8bcd850508ec43e883b408d9504bba18
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_version_	1718419136053248000

Explore association of genes in PDL1/PD1 pathway to radiotherapy survival benefit based on interaction model strategy

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