Comprehensive analysis of microbiota signature across 32 cancer types

被引:3
|
作者
Yang, Xia [1 ]
An, Huimin [1 ]
He, Yongtao [1 ]
Fu, Guoxiang [1 ]
Jiang, Zhinong [1 ]
机构
[1] Zhejiang Univ, Sir Run Run Shaw Hosp, Sch Med, Dept Pathol, Hangzhou, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2023年 / 13卷
关键词
microbiota signature; survival outcomes; genomic features; immune profiles; bacteria in cancer; the Cancer Genome Atlas; FUSOBACTERIUM-NUCLEATUM; HELICOBACTER-PYLORI; CELL-CYCLE; ENRICHMENT; IMMUNITY; TISSUE;
D O I
10.3389/fonc.2023.1127225
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Microbial communities significantly inhabit the human body. Evidence shows the interaction between the human microbiome and host cells plays a central role in multiple physiological processes and organ microenvironments. However, the majority of related studies focus on gut microbiota or specific tissues/organs, and the component signature of intratumor microbiota across various cancer types remains unclear. Here, we systematically analyzed the correlation between intratumor microbial signature with survival outcomes, genomic features, and immune profiles across 32 cancer types based on the public databases of Bacteria in Cancer (BIC) and The Cancer Genome Atlas (TCGA). Results showed the relative abundance of microbial taxa in tumors compared to normal tissues was observed as particularly noticeable. Survival analysis found that specific candidate microbial taxa were correlated with prognosis across various cancers. Then, a microbial-based scoring system (MS), which was composed of 64 candidate prognostic microbes, was established. Further analyses showed significant differences in survival status, genomic function, and immune profiles among the distinct MS subgroups. Taken together, this study reveals the diversity and complexity of microbiomes in tumors. Classifying cancer into different subtypes based on intratumor microbial signatures might reasonably reflect genomic characteristics, immune features, and survival status.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Comprehensive Characterization of the Integrin Family Across 32 Cancer Types
    Zou, Cheng
    Zhu, Jinwei
    Xiong, Jiangling
    Tian, Yu
    Peng, Yousong
    Cheung, Edwin
    Zhang, Dingxiao
    GENOMICS PROTEOMICS & BIOINFORMATICS, 2024, 22 (04)
  • [2] The pan-cancer landscape of glutamate and glutamine metabolism: A comprehensive bioinformatic analysis across 32 solid cancer types
    Xue, Wenhua
    Wu, Kai
    Guo, Xiaona
    Chen, Chengxin
    Huang, Tao
    Li, Lifeng
    Liu, Bin
    Chang, Hao
    Zhao, Jie
    BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE, 2024, 1870 (02):
  • [3] Comprehensive analysis of the transcriptional profile of the Mediator complex across human cancer types
    Syring, Isabella
    Kluemper, Niklas
    Offermann, Anne
    Braun, Martin
    Deng, Mario
    Boehm, Diana
    Queisser, Angela
    von Maessenhausen, Anne
    Braegelmann, Johannes
    Vogel, Wenzel
    Schmidt, Doris
    Majores, Michael
    Schindler, Anne
    Kristiansen, Glen
    Mueller, Stefan C.
    Ellinger, Joerg
    Shaikhibrahim, Zaki
    Perner, Sven
    ONCOTARGET, 2016, 7 (17) : 23043 - 23055
  • [4] Comprehensive analysis of telomere length and telomere maintenance mechanisms across 31 human cancer types
    Barthel, Floris P.
    Zheng, Siyuan
    Verhaak, Roel G.
    CANCER RESEARCH, 2017, 77
  • [5] Comprehensive Analysis of Indels in Whole-genome Microsatellite Regions across 21 Cancer Types
    Fujimoto, Akihiro
    Fujita, Masashi
    Shiraishi, Yuichi
    Tsunoda, Tatsuhiko
    Imoto, Seiya
    Miyano, Satoru
    Matsubara, Nagahide
    Tomita, Naohiro
    Stratton, Michael
    Rosen, Steven
    Nakagawa, Hidewaki
    CANCER SCIENCE, 2018, 109 : 848 - 848
  • [6] Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types
    Sipeng Shen
    Ruyang Zhang
    Yue Jiang
    Yi Li
    Lijuan Lin
    Zhonghua Liu
    Yang Zhao
    Hongbing Shen
    Zhibin Hu
    Yongyue Wei
    Feng Chen
    Molecular Cancer, 20
  • [7] Comprehensive analyses of m6A regulators and interactive coding and non-coding RNAs across 32 cancer types
    Shen, Sipeng
    Zhang, Ruyang
    Jiang, Yue
    Li, Yi
    Lin, Lijuan
    Liu, Zhonghua
    Zhao, Yang
    Shen, Hongbing
    Hu, Zhibin
    Wei, Yongyue
    Chen, Feng
    MOLECULAR CANCER, 2021, 20 (01)
  • [8] A gut microbial signature for combination immune checkpoint blockade across cancer types
    Gunjur, Ashray
    Shao, Yan
    Rozday, Timothy
    Klein, Oliver
    Mu, Andre
    Haak, Bastiaan W.
    Markman, Ben
    Kee, Damien
    Carlino, Matteo S.
    Underhill, Craig
    Frentzas, Sophia
    Michael, Michael
    Gao, Bo
    Palmer, Jodie
    Cebon, Jonathan
    Behren, Andreas
    Adams, David J.
    Lawley, Trevor D.
    NATURE MEDICINE, 2024, 30 (03) : 797 - 809
  • [9] A gut microbial signature for combination immune checkpoint blockade across cancer types
    Ashray Gunjur
    Yan Shao
    Timothy Rozday
    Oliver Klein
    Andre Mu
    Bastiaan W. Haak
    Ben Markman
    Damien Kee
    Matteo S. Carlino
    Craig Underhill
    Sophia Frentzas
    Michael Michael
    Bo Gao
    Jodie Palmer
    Jonathan Cebon
    Andreas Behren
    David J. Adams
    Trevor D. Lawley
    Nature Medicine, 2024, 30 : 797 - 809
  • [10] Contemplating the prognostic and therapeutic potential of CD19: a comprehensive analysis across diverse cancer types
    Yang, Xiuhui
    Duan, Yundong
    Zhao, Zongquan
    AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH, 2024, 16 (11): : 6365 - 6383