Literature DB >> 33382980

The cancer microbiome atlas: a pan-cancer comparative analysis to distinguish tissue-resident microbiota from contaminants.

Anders B Dohlman1, Diana Arguijo Mendoza2, Shengli Ding2, Michael Gao3, Holly Dressman4, Iliyan D Iliev5, Steven M Lipkin5, Xiling Shen6.   

Abstract

Studying the microbial composition of internal organs and their associations with disease remains challenging due to the difficulty of acquiring clinical biopsies. We designed a statistical model to analyze the prevalence of species across sample types from The Cancer Genome Atlas (TCGA), revealing that species equiprevalent across sample types are predominantly contaminants, bearing unique signatures from each TCGA-designated sequencing center. Removing such species mitigated batch effects and isolated the tissue-resident microbiome, which was validated by original matched TCGA samples. Gene copies and nucleotide variants can further distinguish mixed-evidence species. We, thus, present The Cancer Microbiome Atlas (TCMA), a collection of curated, decontaminated microbial compositions of oropharyngeal, esophageal, gastrointestinal, and colorectal tissues. This led to the discovery of prognostic species and blood signatures of mucosal barrier injuries and enabled systematic matched microbe-host multi-omic analyses, which will help guide future studies of the microbiome's role in human health and disease.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  colorectal cancer; contamination; host-microbe interactions; human microbiome; multi-omics; pan-cancer; the cancer genome atlas

Mesh:

Substances:

Year:  2021        PMID: 33382980      PMCID: PMC7878430          DOI: 10.1016/j.chom.2020.12.001

Source DB:  PubMed          Journal:  Cell Host Microbe        ISSN: 1931-3128            Impact factor:   21.023


  77 in total

1.  featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

Authors:  Yang Liao; Gordon K Smyth; Wei Shi
Journal:  Bioinformatics       Date:  2013-11-13       Impact factor: 6.937

2.  A human gut microbial gene catalogue established by metagenomic sequencing.

Authors:  Junjie Qin; Ruiqiang Li; Jeroen Raes; Manimozhiyan Arumugam; Kristoffer Solvsten Burgdorf; Chaysavanh Manichanh; Trine Nielsen; Nicolas Pons; Florence Levenez; Takuji Yamada; Daniel R Mende; Junhua Li; Junming Xu; Shaochuan Li; Dongfang Li; Jianjun Cao; Bo Wang; Huiqing Liang; Huisong Zheng; Yinlong Xie; Julien Tap; Patricia Lepage; Marcelo Bertalan; Jean-Michel Batto; Torben Hansen; Denis Le Paslier; Allan Linneberg; H Bjørn Nielsen; Eric Pelletier; Pierre Renault; Thomas Sicheritz-Ponten; Keith Turner; Hongmei Zhu; Chang Yu; Shengting Li; Min Jian; Yan Zhou; Yingrui Li; Xiuqing Zhang; Songgang Li; Nan Qin; Huanming Yang; Jian Wang; Søren Brunak; Joel Doré; Francisco Guarner; Karsten Kristiansen; Oluf Pedersen; Julian Parkhill; Jean Weissenbach; Peer Bork; S Dusko Ehrlich; Jun Wang
Journal:  Nature       Date:  2010-03-04       Impact factor: 49.962

3.  DNA extraction for streamlined metagenomics of diverse environmental samples.

Authors:  Clarisse Marotz; Amnon Amir; Greg Humphrey; James Gaffney; Grant Gogul; Rob Knight
Journal:  Biotechniques       Date:  2017-06-01       Impact factor: 1.993

4.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

5.  The Escherichia coli ldcC gene encodes another lysine decarboxylase, probably a constitutive enzyme.

Authors:  Y Yamamoto; Y Miwa; K Miyoshi; J Furuyama; H Ohmori
Journal:  Genes Genet Syst       Date:  1997-06       Impact factor: 1.517

6.  Interleukin 1, interleukin 6 and transforming growth factor-beta production by human gingival mononuclear cells following stimulation with Porphyromonas gingivalis and Fusobacterium nucleatum.

Authors:  E Gemmell; G J Seymour
Journal:  J Periodontal Res       Date:  1993-03       Impact factor: 4.419

7.  Inherent bacterial DNA contamination of extraction and sequencing reagents may affect interpretation of microbiota in low bacterial biomass samples.

Authors:  Angela Glassing; Scot E Dowd; Susan Galandiuk; Brian Davis; Rodrick J Chiodini
Journal:  Gut Pathog       Date:  2016-05-26       Impact factor: 4.181

8.  Distinguishing potential bacteria-tumor associations from contamination in a secondary data analysis of public cancer genome sequence data.

Authors:  Kelly M Robinson; Jonathan Crabtree; John S A Mattick; Kathleen E Anderson; Julie C Dunning Hotopp
Journal:  Microbiome       Date:  2017-01-25       Impact factor: 14.650

9.  Pan-cancer analysis of systematic batch effects on somatic sequence variations.

Authors:  Ji-Hye Choi; Seong-Eui Hong; Hyun Goo Woo
Journal:  BMC Bioinformatics       Date:  2017-04-11       Impact factor: 3.169

Review 10.  Microbiota dysbiosis and barrier dysfunction in inflammatory bowel disease and colorectal cancers: exploring a common ground hypothesis.

Authors:  Linda Chia-Hui Yu
Journal:  J Biomed Sci       Date:  2018-11-09       Impact factor: 8.410

View more
  21 in total

1.  A comprehensive analysis of intratumor microbiome in head and neck squamous cell carcinoma.

Authors:  Yangyang Wang; Yi Wang; Jihan Wang
Journal:  Eur Arch Otorhinolaryngol       Date:  2022-02-05       Impact factor: 2.503

Review 2.  The Cancer Microbiome: Recent Highlights and Knowledge Gaps.

Authors:  Reece J Knippel; Julia L Drewes; Cynthia L Sears
Journal:  Cancer Discov       Date:  2021-08-16       Impact factor: 39.397

3.  Interferon-Induced Transmembrane Protein 3 Shapes an Inflamed Tumor Microenvironment and Identifies Immuno-Hot Tumors.

Authors:  Yun Cai; Wenfei Ji; Chuan Sun; Rui Xu; Xuechun Chen; Yifan Deng; Jiadong Pan; Jiayue Yang; Hongjun Zhu; Jie Mei
Journal:  Front Immunol       Date:  2021-08-11       Impact factor: 7.561

4.  A pan-cancer mycobiome analysis reveals fungal involvement in gastrointestinal and lung tumors.

Authors:  Anders B Dohlman; Jared Klug; Marissa Mesko; Iris H Gao; Steven M Lipkin; Xiling Shen; Iliyan D Iliev
Journal:  Cell       Date:  2022-09-29       Impact factor: 66.850

5.  Pan-Cancer Integrated Analysis Identification of SASH3, a Potential Biomarker That Inhibits Lung Adenocarcinoma Progression.

Authors:  Xi Chen; Yixiao Yuan; Wenjun Ren; Fan Zhou; Xiaobin Huang; Jun Pu; Xiaoqun Niu; Xiulin Jiang
Journal:  Front Oncol       Date:  2022-06-03       Impact factor: 5.738

Review 6.  Intratumor microbiome in cancer progression: current developments, challenges and future trends.

Authors:  Jinyan Liu; Yi Zhang
Journal:  Biomark Res       Date:  2022-05-31

7.  The intestinal microbiota influences the microenvironment of metastatic colon cancer by targeting miRNAs.

Authors:  Shihai Zhou; Canhua Zhu; Shaoqin Jin; Chunhui Cui; Linghui Xiao; Zhi Yang; Xi Wang; Jinlong Yu
Journal:  FEMS Microbiol Lett       Date:  2022-06-14       Impact factor: 2.820

8.  Integrated Microbiome and Host Transcriptome Profiles Link Parkinson's Disease to Blautia Genus: Evidence From Feces, Blood, and Brain.

Authors:  Xingzhi Guo; Peng Tang; Chen Hou; Li Chong; Xin Zhang; Peng Liu; Li Chen; Yue Liu; Lina Zhang; Rui Li
Journal:  Front Microbiol       Date:  2022-05-26       Impact factor: 6.064

Review 9.  Gut Microbiota as Potential Biomarker and/or Therapeutic Target to Improve the Management of Cancer: Focus on Colibactin-Producing Escherichia coli in Colorectal Cancer.

Authors:  Julie Veziant; Romain Villéger; Nicolas Barnich; Mathilde Bonnet
Journal:  Cancers (Basel)       Date:  2021-05-05       Impact factor: 6.639

Review 10.  Viruses and Bacteria Associated with Cancer: An Overview.

Authors:  Davide Zella; Robert C Gallo
Journal:  Viruses       Date:  2021-05-31       Impact factor: 5.048

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.