A Novel Immune and Stroma Related Prognostic Marker for Invasive Breast Cancer in Tumor Microenvironment: A TCGA Based Study

BackgroundBreast cancer (BC) is the most frequent cancer in women. The tumor microenvironment (TME), consisting of blood vessels, immune cells, fibroblasts, and extracellular matrix, plays a pivotal role in tumorigenesis and progression. Increasing evidence has emphasized the importance of TME, espe...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yizhou Huang, Lizhi Chen, Ziyi Tang, Yu Min, Wanli Yu, Gangyi Yang, Lili Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	breast cancer tumor microenvironment TCGA tumor-infiltrating immune cells ITK Diseases of the endocrine glands. Clinical endocrinology RC648-665
Acceso en línea:	https://doaj.org/article/5d2b979627c745e0b289c05ce85394b4
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:5d2b979627c745e0b289c05ce85394b4
record_format	dspace
spelling	oai:doaj.org-article:5d2b979627c745e0b289c05ce85394b42021-11-18T06:39:24ZA Novel Immune and Stroma Related Prognostic Marker for Invasive Breast Cancer in Tumor Microenvironment: A TCGA Based Study1664-239210.3389/fendo.2021.774244https://doaj.org/article/5d2b979627c745e0b289c05ce85394b42021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fendo.2021.774244/fullhttps://doaj.org/toc/1664-2392BackgroundBreast cancer (BC) is the most frequent cancer in women. The tumor microenvironment (TME), consisting of blood vessels, immune cells, fibroblasts, and extracellular matrix, plays a pivotal role in tumorigenesis and progression. Increasing evidence has emphasized the importance of TME, especially the immune components, in patients with BC. Nevertheless, we still lack a deep understanding of the correlation between tumor invasion and TME status.MethodsTranscriptome and clinical data were retrieved from The Cancer Genome Atlas (TCGA) database. ESTIMATE algorithm was applied for quantifying stromal and immune scores. Then we screened out the differentially expressed genes (DEGs) through the intersection analysis. Furthermore, the establishment of protein-protein interaction (PPI) network and univariate COX regression analysis were utilized to determine the core genes in DEGs. In addition, we also performed Gene Set Enrichment Analysis (GSEA) and CIBERSORT analysis to distinguish the function of crucial gene expression and the proportion of tumor-infiltrating immune cells (TICs), respectively.ResultsA total of 1178 samples (112 normal samples and 1066 tumor samples) were extracted from TCGA for calculation, and 226 DEGs were obtained from this assessment. Further intersection analysis revealed eight key genes, including ITK, CD3E, CCL19, CD2, SH2D1A, CD5, SLAMF6, SPN, which were proven to correlate with BC status. Moreover, ITK was picked out for further study. The results illustrated that high expression of BC patients had a more prolonged overall survival (OS) time than ITK low expression BC patients (p = 0.009), and ITK expression also presented the statistical significance in age, TNM staging, tumor size classification, and metastasis classification. Additionally, GSEA and CIBERSORT analysis indicated that ITK expression had an association with immune activity in TME.ConclusionITK may be a potential indicator for prognosis prediction in patients with BC, and its biological behavior may promote our understanding of the molecular mechanism of tumor progression and targeted therapy.Yizhou HuangLizhi ChenZiyi TangYu MinWanli YuGangyi YangLili ZhangFrontiers Media S.A.articlebreast cancertumor microenvironmentTCGAtumor-infiltrating immune cellsITKDiseases of the endocrine glands. Clinical endocrinologyRC648-665ENFrontiers in Endocrinology, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	breast cancer tumor microenvironment TCGA tumor-infiltrating immune cells ITK Diseases of the endocrine glands. Clinical endocrinology RC648-665
spellingShingle	breast cancer tumor microenvironment TCGA tumor-infiltrating immune cells ITK Diseases of the endocrine glands. Clinical endocrinology RC648-665 Yizhou Huang Lizhi Chen Ziyi Tang Yu Min Wanli Yu Gangyi Yang Lili Zhang A Novel Immune and Stroma Related Prognostic Marker for Invasive Breast Cancer in Tumor Microenvironment: A TCGA Based Study
description	BackgroundBreast cancer (BC) is the most frequent cancer in women. The tumor microenvironment (TME), consisting of blood vessels, immune cells, fibroblasts, and extracellular matrix, plays a pivotal role in tumorigenesis and progression. Increasing evidence has emphasized the importance of TME, especially the immune components, in patients with BC. Nevertheless, we still lack a deep understanding of the correlation between tumor invasion and TME status.MethodsTranscriptome and clinical data were retrieved from The Cancer Genome Atlas (TCGA) database. ESTIMATE algorithm was applied for quantifying stromal and immune scores. Then we screened out the differentially expressed genes (DEGs) through the intersection analysis. Furthermore, the establishment of protein-protein interaction (PPI) network and univariate COX regression analysis were utilized to determine the core genes in DEGs. In addition, we also performed Gene Set Enrichment Analysis (GSEA) and CIBERSORT analysis to distinguish the function of crucial gene expression and the proportion of tumor-infiltrating immune cells (TICs), respectively.ResultsA total of 1178 samples (112 normal samples and 1066 tumor samples) were extracted from TCGA for calculation, and 226 DEGs were obtained from this assessment. Further intersection analysis revealed eight key genes, including ITK, CD3E, CCL19, CD2, SH2D1A, CD5, SLAMF6, SPN, which were proven to correlate with BC status. Moreover, ITK was picked out for further study. The results illustrated that high expression of BC patients had a more prolonged overall survival (OS) time than ITK low expression BC patients (p = 0.009), and ITK expression also presented the statistical significance in age, TNM staging, tumor size classification, and metastasis classification. Additionally, GSEA and CIBERSORT analysis indicated that ITK expression had an association with immune activity in TME.ConclusionITK may be a potential indicator for prognosis prediction in patients with BC, and its biological behavior may promote our understanding of the molecular mechanism of tumor progression and targeted therapy.
format	article
author	Yizhou Huang Lizhi Chen Ziyi Tang Yu Min Wanli Yu Gangyi Yang Lili Zhang
author_facet	Yizhou Huang Lizhi Chen Ziyi Tang Yu Min Wanli Yu Gangyi Yang Lili Zhang
author_sort	Yizhou Huang
title	A Novel Immune and Stroma Related Prognostic Marker for Invasive Breast Cancer in Tumor Microenvironment: A TCGA Based Study
title_short	A Novel Immune and Stroma Related Prognostic Marker for Invasive Breast Cancer in Tumor Microenvironment: A TCGA Based Study
title_full	A Novel Immune and Stroma Related Prognostic Marker for Invasive Breast Cancer in Tumor Microenvironment: A TCGA Based Study
title_fullStr	A Novel Immune and Stroma Related Prognostic Marker for Invasive Breast Cancer in Tumor Microenvironment: A TCGA Based Study
title_full_unstemmed	A Novel Immune and Stroma Related Prognostic Marker for Invasive Breast Cancer in Tumor Microenvironment: A TCGA Based Study
title_sort	novel immune and stroma related prognostic marker for invasive breast cancer in tumor microenvironment: a tcga based study
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/5d2b979627c745e0b289c05ce85394b4
work_keys_str_mv	AT yizhouhuang anovelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT lizhichen anovelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT ziyitang anovelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT yumin anovelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT wanliyu anovelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT gangyiyang anovelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT lilizhang anovelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT yizhouhuang novelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT lizhichen novelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT ziyitang novelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT yumin novelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT wanliyu novelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT gangyiyang novelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy AT lilizhang novelimmuneandstromarelatedprognosticmarkerforinvasivebreastcancerintumormicroenvironmentatcgabasedstudy
_version_	1718424417059471360

A Novel Immune and Stroma Related Prognostic Marker for Invasive Breast Cancer in Tumor Microenvironment: A TCGA Based Study

Ejemplares similares