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Comprehensive Analysis of Prognostic Microenvironment-Related Genes in Invasive Breast Cancer

Recent studies reveal that tumor microenvironment contributes to breast cancer (BRCA) development, progression, and therapeutic response. However, the contribution of the tumor microenvironment-related genes in routine diagnostic testing or therapeutic decision making for BRCA remains elusive. Immun...

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Autores principales: Shi, Yingrong, Chen, Si, Xing, Huijuan, Jiang, Guanglie, Wu, Nan, Liu, Qiannan, Sakamoto, Norihiro, Kuno, Takayoshi, Sugiura, Reiko, Xiao, Qinghuan, Jin, Feng, Fang, Yue, Yao, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761742/
https://www.ncbi.nlm.nih.gov/pubmed/35047378
http://dx.doi.org/10.3389/fonc.2021.576911
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author Shi, Yingrong
Chen, Si
Xing, Huijuan
Jiang, Guanglie
Wu, Nan
Liu, Qiannan
Sakamoto, Norihiro
Kuno, Takayoshi
Sugiura, Reiko
Xiao, Qinghuan
Jin, Feng
Fang, Yue
Yao, Fan
author_facet Shi, Yingrong
Chen, Si
Xing, Huijuan
Jiang, Guanglie
Wu, Nan
Liu, Qiannan
Sakamoto, Norihiro
Kuno, Takayoshi
Sugiura, Reiko
Xiao, Qinghuan
Jin, Feng
Fang, Yue
Yao, Fan
author_sort Shi, Yingrong
collection PubMed
description Recent studies reveal that tumor microenvironment contributes to breast cancer (BRCA) development, progression, and therapeutic response. However, the contribution of the tumor microenvironment-related genes in routine diagnostic testing or therapeutic decision making for BRCA remains elusive. Immune/stromal/ESTIMATE scores calculated by the ESTIMATE algorithm quantify immune and stromal components in a tumor, and thus can reflect tumor microenvironment. To investigate the association of the tumor microenvironment-related genes with invasive BRCA prognosis, here we analyzed the immune/stromal/ESTIMATE scores in combination with The Cancer Genome Atlas (TCGA) database in invasive BRCA. We found that immune/stromal/ESTIMATE scores were significantly correlated with the invasive BRCA clinicopathological factors. Based on the immune/stromal/ESTIMATE scores, we extracted a series of differential expression genes (DEGs) related to the tumor microenvironment. Survival analysis was further performed to identify a list of high-frequency DEGs (HF-DEGs), which exhibited prognostic value in invasive BRCA. Importantly, consistent with the results of bioinformatics analysis, immunohistochemistry results showed that high SASH3 expression was associated with a good prognosis in invasive BRCA patients. Our findings suggest that the tumor microenvironment-related HF-DEGs identified in this study have prognostic values and may serve as potential biomarkers and therapeutic targets for invasive BRCA.
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spelling pubmed-87617422022-01-18 Comprehensive Analysis of Prognostic Microenvironment-Related Genes in Invasive Breast Cancer Shi, Yingrong Chen, Si Xing, Huijuan Jiang, Guanglie Wu, Nan Liu, Qiannan Sakamoto, Norihiro Kuno, Takayoshi Sugiura, Reiko Xiao, Qinghuan Jin, Feng Fang, Yue Yao, Fan Front Oncol Oncology Recent studies reveal that tumor microenvironment contributes to breast cancer (BRCA) development, progression, and therapeutic response. However, the contribution of the tumor microenvironment-related genes in routine diagnostic testing or therapeutic decision making for BRCA remains elusive. Immune/stromal/ESTIMATE scores calculated by the ESTIMATE algorithm quantify immune and stromal components in a tumor, and thus can reflect tumor microenvironment. To investigate the association of the tumor microenvironment-related genes with invasive BRCA prognosis, here we analyzed the immune/stromal/ESTIMATE scores in combination with The Cancer Genome Atlas (TCGA) database in invasive BRCA. We found that immune/stromal/ESTIMATE scores were significantly correlated with the invasive BRCA clinicopathological factors. Based on the immune/stromal/ESTIMATE scores, we extracted a series of differential expression genes (DEGs) related to the tumor microenvironment. Survival analysis was further performed to identify a list of high-frequency DEGs (HF-DEGs), which exhibited prognostic value in invasive BRCA. Importantly, consistent with the results of bioinformatics analysis, immunohistochemistry results showed that high SASH3 expression was associated with a good prognosis in invasive BRCA patients. Our findings suggest that the tumor microenvironment-related HF-DEGs identified in this study have prognostic values and may serve as potential biomarkers and therapeutic targets for invasive BRCA. Frontiers Media S.A. 2022-01-03 /pmc/articles/PMC8761742/ /pubmed/35047378 http://dx.doi.org/10.3389/fonc.2021.576911 Text en Copyright © 2022 Shi, Chen, Xing, Jiang, Wu, Liu, Sakamoto, Kuno, Sugiura, Xiao, Jin, Fang and Yao https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Shi, Yingrong
Chen, Si
Xing, Huijuan
Jiang, Guanglie
Wu, Nan
Liu, Qiannan
Sakamoto, Norihiro
Kuno, Takayoshi
Sugiura, Reiko
Xiao, Qinghuan
Jin, Feng
Fang, Yue
Yao, Fan
Comprehensive Analysis of Prognostic Microenvironment-Related Genes in Invasive Breast Cancer
title Comprehensive Analysis of Prognostic Microenvironment-Related Genes in Invasive Breast Cancer
title_full Comprehensive Analysis of Prognostic Microenvironment-Related Genes in Invasive Breast Cancer
title_fullStr Comprehensive Analysis of Prognostic Microenvironment-Related Genes in Invasive Breast Cancer
title_full_unstemmed Comprehensive Analysis of Prognostic Microenvironment-Related Genes in Invasive Breast Cancer
title_short Comprehensive Analysis of Prognostic Microenvironment-Related Genes in Invasive Breast Cancer
title_sort comprehensive analysis of prognostic microenvironment-related genes in invasive breast cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761742/
https://www.ncbi.nlm.nih.gov/pubmed/35047378
http://dx.doi.org/10.3389/fonc.2021.576911
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