ArticlemBio2014
Metagenomic assay for identification of microbial pathogens in tumor tissues.
Article in mBio, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Guideline for designing microbiome studies in neoplastic diseases.GeroScience · 2024Guideline
- Application of PathoChip to urine-derived nucleic acids for broad microbial profiling in men with suspected prostate cancer: setup of a methodological workflow and pilot feasibility study.The journal of liquid biopsy · 2026Article
- HPV profiles in Botswana: An analysis of healthy women, cervical intraepithelial neoplasia, and invasive cervical cancer.Gynecologic oncology reports · 2025Article
- Application of Amplicon Metagenomics to Identify Fungal Pathogens in Formalin-Fixed Paraffin-Embedded Samples: Proof of Concept in Animals with Fungal Pathologies.Microorganisms · 2025Article
- The Influence of Microbiota on Breast Cancer: A Review.Cancers · 2024Review
- Exploring breast tissue microbial composition and the association with breast cancer risk factors.Breast cancer research : BCR · 2023Article
- Characterization of HPV subtypes in invasive cervical cancer in Botswana patients using a pan-pathogen microarray technology.Tumour virus research · 2023Article
- Prognostic correlations with the microbiome of breast cancer subtypes.Cell death & disease · 2021Article
- Detection of Microbial Agents in Oropharyngeal and Nasopharyngeal Samples of SARS-CoV-2 Patients.Frontiers in microbiology · 2021Article
- Tumor-related Microbiome in the Breast Microenvironment and Breast Cancer.Journal of Cancer · 2021Review
- Protoblock - A biological standard for formalin fixed samples.Microbiome · 2020Article
- Article
- Papillomavirus DNA not detected in canine lobular orbital adenoma and normal conjunctival tissue.BMC veterinary research · 2019Article
- The power of small changes: Comprehensive analyses of microbial dysbiosis in breast cancer.Biochimica et biophysica acta. Reviews on cancer · 2019Review
- Distinct Microbial Signatures Associated With Different Breast Cancer Types.Frontiers in microbiology · 2018Article
- Microbial Signatures Associated with Oropharyngeal and Oral Squamous Cell Carcinomas.Scientific reports · 2017Article
- The ovarian cancer oncobiome.Oncotarget · 2017Article
- Article
- Identification of fungal pathogens in a patient with acute myelogenic leukemia using a pathogen detection array technology.Cancer biology & therapy · 2016Article
- Enhanced virome sequencing using targeted sequence capture.Genome research · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
unlabelledScreening for thousands of viruses and other pathogenic microorganisms, including bacteria, fungi, and parasites, in human tumor tissues will provide a better understanding of the contributory role of the microbiome in the predisposition for, causes of, and therapeutic responses to the associated cancer. Metagenomic assays designed to perform these tasks will have to include rapid and economical processing of large numbers of samples, supported by straightforward data analysis pipeline and flexible sample preparation options for multiple input tissue types from individual patients, mammals, or environmental samples. To meet these requirements, the PathoChip platform was developed by targeting viral, prokaryotic, and eukaryotic genomes with multiple DNA probes in a microarray format that can be combined with a variety of upstream sample preparation protocols and downstream data analysis. PathoChip screening of DNA plus RNA from formalin-fixed, paraffin-embedded tumor tissues demonstrated the utility of this platform, and the detection of oncogenic viruses was validated using independent PCR and deep sequencing methods. These studies demonstrate the use of the PathoChip technology combined with PCR and deep sequencing as a valuable strategy for detecting the presence of pathogens in human cancers and other diseases. IMPORTANCE: This work describes the design and testing of a PathoChip array containing probes with the ability to detect all known publicly available virus sequences as well as hundreds of pathogenic bacteria, fungi, parasites, and helminths. PathoChip provides wide coverage of microbial pathogens in an economical format. PathoChip screening of DNA plus RNA from formalin-fixed, paraffin-embedded tumor tissues demonstrated the utility of this platform, and the detection of oncogenic viruses was validated using independent PCR and sequencing methods. These studies demonstrate that the PathoChip technology is a valuable strategy for detecting the presence of pathogens in human cancers and other diseases.
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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.