ArticleBMC medical genomics2009
Identification of microbial DNA in human cancer.
Article in BMC medical genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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
11 citing papers in PubMed, 27 citations in OpenAlex.
- Human Herpesvirus 6 and Malignancy: A Review.Frontiers in oncology · 2018Review
- Cell-free circulating tumor DNA in cancer.Chinese journal of cancer · 2016Review
- Blood-based analyses of cancer: circulating tumor cells and circulating tumor DNA.Cancer discovery · 2014Review
- Common contaminants in next-generation sequencing that hinder discovery of low-abundance microbes.PloS one · 2014Article
- The microbiome and colorectal neoplasia: environmental modifiers of dysbiosis.Current gastroenterology reports · 2013Review
- Sensitive detection of viral transcripts in human tumor transcriptomes.PLoS computational biology · 2013Article
- The prevention of infection-associated cancers.Carcinogenesis · 2011Review
- Biome representational in silico karyotyping.Genome research · 2011Article
- Chronic viral infection and primary central nervous system malignancy.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2010Review
- Infectious causes of cancer and their detection.Journal of biology · 2009Review
- Cytomegalovirus and Mucoepidermoid carcinoma: A possible causal relationship? A pilot study.Journal of oral and maxillofacial pathology : JOMFPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 7 institutions in 1 country.
Funding
Abstract
backgroundMicroorganisms have been associated with many types of human diseases; however, a significant number of clinically important microbial pathogens remain to be discovered.
methodsWe have developed a genome-wide approach, called Digital Karyotyping Microbe Identification (DK-MICROBE), to identify genomic DNA of bacteria and viruses in human disease tissues. This method involves the generation of an experimental DNA tag library through Digital Karyotyping (DK) followed by analysis of the tag sequences for the presence of microbial DNA content using a compiled microbial DNA virtual tag library.
resultsTo validate this technology and to identify pathogens that may be associated with human cancer pathogenesis, we used DK-MICROBE to determine the presence of microbial DNA in 58 human tumor samples, including brain, ovarian, and colorectal cancers. We detected DNA from Human herpesvirus 6 (HHV-6) in a DK library of a colorectal cancer liver metastasis and in normal tissue from the same patient.
conclusionDK-MICROBE can identify previously unknown infectious agents in human tumors, and is now available for further applications for the identification of pathogen DNA in human cancer and other diseases.
Identifiers
What OpenQuestion holds
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.