ArticleComputational and structural biotechnology journal2020
The landscape of bacterial presence in tumor and adjacent normal tissue across 9 major cancer types using TCGA exome sequencing.
Article in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
46 citing papers in PubMed, 53 citations in OpenAlex.
- Systematic evaluation of TCGA tumor microbiota reveals context-dependent reliability.mSystems · 2026Article
- Does the urinary microbiome reflect the bladder-cancer-associated microbiome? Characterizing the microbiome in urine and cancer tissue in bladder cancer.Urologic oncology · 2026Article
- Microbiome Landscapes in Squamous Cell Carcinoma Tissue Microenvironments: A Comparative Analysis.Immunity, inflammation and disease · 2026Article
- Review
- Altered Bacteria Abundance Is Associated With Outcomes in Head and Neck Squamous Cell Carcinoma.Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery · 2025Article
- Article
- Fusobacterium nucleatum is enriched in invasive biofilms in colorectal cancer.NPJ biofilms and microbiomes · 2025Article
- The relationship between the gastric cancer microbiome and clinicopathological factors: a metagenomic investigation from the 100,000 genomes project and The Cancer Genome Atlas.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2025Article
- Microbiome landscapes of the bladder, intestine, and vagina in bladder cancer: a systematic review.Discover oncology · 2025Review
- Potential changes in microorganisms and metabolites associated with oral cancer: a preliminary study.BMC cancer · 2025Article
- PTTM: dissecting the profile of tumor tissue microbiome to reveal microbiota features and associations with host transcriptome.Briefings in bioinformatics · 2024Article
- Review
- Application ofWorld journal of gastrointestinal oncology · 2024Article
- A review of machine learning methods for cancer characterization from microbiome data.NPJ precision oncology · 2024Review
- Robustness of cancer microbiome signals over a broad range of methodological variation.Oncogene · 2024Article
- Distinct intratumoral microbiome of young-onset and average-onset colorectal cancer.EBioMedicine · 2024Article
- Intratumoral microorganisms in tumors of the digestive system.Cell communication and signaling : CCS · 2024Review
- Uncovering Microbial Composition of the Tissue Microenvironment in Bladder Cancer using RNA Sequencing Data.Journal of Cancer · 2024Article
- Research progress on the microbiota in bladder cancer tumors.Frontiers in cellular and infection microbiology · 2024Review
- Microbial gene expression analysis of healthy and cancerous esophagus uncovers bacterial biomarkers of clinical outcomes.ISME communications · 2023Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Identification of microbial composition directly from tumor tissue permits studying the relationship between microbial changes and cancer pathogenesis. We interrogated bacterial presence in tumor and adjacent normal tissue strictly in pairs utilizing human whole exome sequencing to generate microbial profiles. Profiles were generated for 813 cases from stomach, liver, colon, rectal, lung, head & neck, cervical and bladder TCGA cohorts. Core microbiota examination revealed twelve taxa to be common across the nine cancer types at all classification levels. Paired analyses demonstrated significant differences in bacterial shifts between tumor and adjacent normal tissue across stomach, colon, lung squamous cell, and head & neck cohorts, whereas little or no differences were evident in liver, rectal, lung adenocarcinoma, cervical and bladder cancer cohorts in adjusted models.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.