ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2017
Tumour virology in the era of high-throughput genomics.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed.
- Differential Expression of Epstein-Barr Virus Sequences in Various Breast Cancer Subtypes.Genes · 2025Article
- Convergent Mechanisms in Virus-Induced Cancers: A Perspective on Classical Viruses, SARS-CoV-2, and AI-Driven Solutions.Infectious disease reports · 2025Article
- Are There More Human Cancer Viruses Left to Be Found?Annual review of virology · 2024Review
- Review
- Deciphering the Relationship between SARS-CoV-2 and Cancer.International journal of molecular sciences · 2023Review
- Human DNA tumor viruses evade uracil-mediated antiviral immunity.PLoS pathogens · 2023Article
- Life after Cleavage: The Story of a β-Retroviral (MMTV) Signal Peptide-From Murine Lymphoma to Human Breast Cancer.Viruses · 2022Review
- Mouse Mammary Tumor Virus (MMTV) and MMTV-like Viruses: An In-depth Look at a Controversial Issue.Viruses · 2022Review
- Mouse Mammary Tumour Virus (MMTV) in Human Breast Cancer-The Value of Bradford Hill Criteria.Viruses · 2022Review
- Optimization of cerebrospinal fluid microbial DNA metagenomic sequencing diagnostics.Scientific reports · 2022Article
- Metagenomic analysis to identify novel infectious agents in systemic anaplastic large cell lymphoma.Infectious agents and cancer · 2021Article
- The viral expression and immune status in human cancers and insights into novel biomarkers of immunotherapy.BMC cancer · 2021Article
- FLAME: long-read bioinformatics tool for comprehensive spliceome characterization.RNA (New York, N.Y.) · 2021Article
- Unmapped exome reads implicate a role for Anelloviridae in childhood HIV-1 long-term non-progression.NPJ genomic medicine · 2021Article
- Virome assembly and annotation in brain tissue based on next-generation sequencing.Cancer medicine · 2020Article
- The landscape of viral associations in human cancers.Nature genetics · 2020Article
- Clinical metagenomics.Nature reviews. Genetics · 2019Review
- Inferring Bacterial Infiltration in Primary Colorectal Tumors From Host Whole Genome Sequencing Data.Frontiers in genetics · 2019Article
- Oncogenic Viruses and Breast Cancer: Mouse Mammary Tumor Virus (MMTV), Bovine Leukemia Virus (BLV), Human Papilloma Virus (HPV), and Epstein-Barr Virus (EBV).Frontiers in oncology · 2018Review
- Human oncogenic viruses: nature and discovery.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the advent of massively parallel sequencing, oncogenic viruses in tumours can now be detected in an unbiased and comprehensive manner. Additionally, new viruses or strains can be discovered based on sequence similarity with known viruses. Using this approach, the causative agent for Merkel cell carcinoma was identified. Subsequent studies using data from large collections of tumours have confirmed models built during decades of hypothesis-driven and low-throughput research, and a more detailed and comprehensive description of virus-tumour associations have emerged. Notably, large cohorts and high sequencing depth, in combination with newly developed bioinformatical techniques, have made it possible to rule out several suggested virus-tumour associations with a high degree of confidence. In this review we discuss possibilities, limitations and insights gained from using massively parallel sequencing to characterize tumours with viral content, with emphasis on detection of viral sequences and genomic integration events.This article is part of the themed issue 'Human oncogenic viruses'.
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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.