Intra-tumoral microbial community profiling and associated metabolites alterations of TNBC

Triple-negative breast cancer (TNBC) presents significant challenges to female health owing to the lack of therapeutic targets and its poor prognosis. In recent years, in the field of molecular pathology, there has been a growing focus on the role of intra-tumoral microbial communities and metabolic...

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Main Authors: Yi Wang, Dingding Qu, Yali Zhang, Yiping Jin, Yu Feng, He Zhang, Qingxin Xia
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1143163/full
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author Yi Wang
Yi Wang
Yi Wang
Dingding Qu
Dingding Qu
Dingding Qu
Yali Zhang
Yali Zhang
Yali Zhang
Yiping Jin
Yiping Jin
Yiping Jin
Yu Feng
He Zhang
He Zhang
He Zhang
Qingxin Xia
Qingxin Xia
Qingxin Xia
author_facet Yi Wang
Yi Wang
Yi Wang
Dingding Qu
Dingding Qu
Dingding Qu
Yali Zhang
Yali Zhang
Yali Zhang
Yiping Jin
Yiping Jin
Yiping Jin
Yu Feng
He Zhang
He Zhang
He Zhang
Qingxin Xia
Qingxin Xia
Qingxin Xia
author_sort Yi Wang
collection DOAJ
description Triple-negative breast cancer (TNBC) presents significant challenges to female health owing to the lack of therapeutic targets and its poor prognosis. In recent years, in the field of molecular pathology, there has been a growing focus on the role of intra-tumoral microbial communities and metabolic alterations in tumor cells. However, the precise mechanism through which microbiota and their metabolites influence TNBC remains unclear and warrants further investigation. In this study, we analyzed the microbial community composition in various subtypes of breast cancer through 16S rRNA MiSeq sequencing of formalin-fixed, paraffin-embedded (FFPE) tissue samples. Notably, Turicibacter, a microbe associated with cancer response, exhibited a significantly higher abundance in TNBC. Similarly, mass spectrometry-based metabolomic analysis revealed substantial differences in specific metabolites, such as nutriacholic, pregnanetriol, and cortol. Furthermore, we observed significant correlations between the intra-tumoral microbiome, clinicopathological characteristics, and human epidermal growth factor receptor-2 expression(HER2). Three microbial taxa (Cytophagaceae, Conexibacteraceae, and Flavobacteriaceae) were associated with tumor-infiltrating lymphocytes(TILs), which are indicative of antitumor immunity. This study creatively utilized FFPE tissue samples to assess intra-tumoral microbial communities and their related metabolic correlations, presenting avenues for the identification of novel diagnostic biomarkers, the development of therapeutic strategies, and the early clinical diagnosis of TNBC.
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spelling doaj.art-9bedb287210d4a8cbebaa66b44854b762023-10-12T16:38:27ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2023-10-011310.3389/fonc.2023.11431631143163Intra-tumoral microbial community profiling and associated metabolites alterations of TNBCYi Wang0Yi Wang1Yi Wang2Dingding Qu3Dingding Qu4Dingding Qu5Yali Zhang6Yali Zhang7Yali Zhang8Yiping Jin9Yiping Jin10Yiping Jin11Yu Feng12He Zhang13He Zhang14He Zhang15Qingxin Xia16Qingxin Xia17Qingxin Xia18Department of Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Medical Key Laboratory of Tumor Pathology and Artificial Intelligence Diagnosis, Zhengzhou, ChinaZhengzhou Key Laboratory of Accurate Pathological Diagnosis of Intractable Tumors, Zhengzhou, ChinaDepartment of Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Medical Key Laboratory of Tumor Pathology and Artificial Intelligence Diagnosis, Zhengzhou, ChinaZhengzhou Key Laboratory of Accurate Pathological Diagnosis of Intractable Tumors, Zhengzhou, ChinaDepartment of Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Medical Key Laboratory of Tumor Pathology and Artificial Intelligence Diagnosis, Zhengzhou, ChinaZhengzhou Key Laboratory of Accurate Pathological Diagnosis of Intractable Tumors, Zhengzhou, ChinaDepartment of Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Medical Key Laboratory of Tumor Pathology and Artificial Intelligence Diagnosis, Zhengzhou, ChinaZhengzhou Key Laboratory of Accurate Pathological Diagnosis of Intractable Tumors, Zhengzhou, ChinaDepartment of Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Medical Key Laboratory of Tumor Pathology and Artificial Intelligence Diagnosis, Zhengzhou, ChinaZhengzhou Key Laboratory of Accurate Pathological Diagnosis of Intractable Tumors, Zhengzhou, ChinaDepartment of Pathology, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, ChinaHenan Medical Key Laboratory of Tumor Pathology and Artificial Intelligence Diagnosis, Zhengzhou, ChinaZhengzhou Key Laboratory of Accurate Pathological Diagnosis of Intractable Tumors, Zhengzhou, ChinaTriple-negative breast cancer (TNBC) presents significant challenges to female health owing to the lack of therapeutic targets and its poor prognosis. In recent years, in the field of molecular pathology, there has been a growing focus on the role of intra-tumoral microbial communities and metabolic alterations in tumor cells. However, the precise mechanism through which microbiota and their metabolites influence TNBC remains unclear and warrants further investigation. In this study, we analyzed the microbial community composition in various subtypes of breast cancer through 16S rRNA MiSeq sequencing of formalin-fixed, paraffin-embedded (FFPE) tissue samples. Notably, Turicibacter, a microbe associated with cancer response, exhibited a significantly higher abundance in TNBC. Similarly, mass spectrometry-based metabolomic analysis revealed substantial differences in specific metabolites, such as nutriacholic, pregnanetriol, and cortol. Furthermore, we observed significant correlations between the intra-tumoral microbiome, clinicopathological characteristics, and human epidermal growth factor receptor-2 expression(HER2). Three microbial taxa (Cytophagaceae, Conexibacteraceae, and Flavobacteriaceae) were associated with tumor-infiltrating lymphocytes(TILs), which are indicative of antitumor immunity. This study creatively utilized FFPE tissue samples to assess intra-tumoral microbial communities and their related metabolic correlations, presenting avenues for the identification of novel diagnostic biomarkers, the development of therapeutic strategies, and the early clinical diagnosis of TNBC.https://www.frontiersin.org/articles/10.3389/fonc.2023.1143163/fullTNBCtriple-negative breast cancerFFPEformalin-fixed paraffin-embeddedmicrobiotametabolome
spellingShingle Yi Wang
Yi Wang
Yi Wang
Dingding Qu
Dingding Qu
Dingding Qu
Yali Zhang
Yali Zhang
Yali Zhang
Yiping Jin
Yiping Jin
Yiping Jin
Yu Feng
He Zhang
He Zhang
He Zhang
Qingxin Xia
Qingxin Xia
Qingxin Xia
Intra-tumoral microbial community profiling and associated metabolites alterations of TNBC
Frontiers in Oncology
TNBC
triple-negative breast cancer
FFPE
formalin-fixed paraffin-embedded
microbiota
metabolome
title Intra-tumoral microbial community profiling and associated metabolites alterations of TNBC
title_full Intra-tumoral microbial community profiling and associated metabolites alterations of TNBC
title_fullStr Intra-tumoral microbial community profiling and associated metabolites alterations of TNBC
title_full_unstemmed Intra-tumoral microbial community profiling and associated metabolites alterations of TNBC
title_short Intra-tumoral microbial community profiling and associated metabolites alterations of TNBC
title_sort intra tumoral microbial community profiling and associated metabolites alterations of tnbc
topic TNBC
triple-negative breast cancer
FFPE
formalin-fixed paraffin-embedded
microbiota
metabolome
url https://www.frontiersin.org/articles/10.3389/fonc.2023.1143163/full
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