ReviewFrontiers in physiology2016
Host-Microbiome Interaction and Cancer: Potential Application in Precision Medicine.
Review in Frontiers in physiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Application of High-Throughput Technologies for the Study of Microbiome and Cancer.Frontiers in genetics · 2021Pooled it
- Gene Expression Analysis of Human Papillomavirus-Associated Colorectal Carcinoma.BioMed research international · 2020Trial
- Article
- Pan-Cancer Insights: A Study of Microbial Metabolite Receptors in Malignancy Dynamics.Cancers · 2024Article
- Review
- Methionine-producing tumor micro(be) environment fuels growth of solid tumors.Cellular oncology (Dordrecht, Netherlands) · 2023Article
- Intratumoral microbiota: implications for cancer onset, progression, and therapy.Frontiers in immunology · 2023Review
- Dysbiosis signatures of gut microbiota and the progression of type 2 diabetes: a machine learning approach in a Mexican cohort.Frontiers in endocrinology · 2023Article
- Global research trends on the links between the gut microbiome and cancer: a visualization analysis.Journal of translational medicine · 2022Article
- Global Analysis of Microbiota Signatures in Four Major Types of Gastrointestinal Cancer.Frontiers in oncology · 2021Article
- Changes in the Vaginal Microbiome and Associated Toxicities Following Radiation Therapy for Gynecologic Cancers.Frontiers in cellular and infection microbiology · 2021Article
- Tissue-associated microbial detection in cancer using human sequencing data.BMC bioinformatics · 2020Review
- Long-term high-grain diet alters ruminal pH, fermentation, and epithelial transcriptomes, leading to restored mitochondrial oxidative phosphorylation in Japanese Black cattle.Scientific reports · 2020Article
- Artificial Intelligence (AI)-Based Systems Biology Approaches in Multi-Omics Data Analysis of Cancer.Frontiers in oncology · 2020Review
- Comparison of Bioinformatics Pipelines and Operating Systems for the Analyses of 16S rRNA Gene Amplicon Sequences in Human Fecal Samples.Frontiers in microbiology · 2020Article
- Metabolomics technology and bioinformatics for precision medicine.Briefings in bioinformatics · 2019Review
- Cooperative and Escaping Mechanisms between Circulating Tumor Cells and Blood Constituents.Cells · 2019Review
- The significance of microbiome in personalized medicine.Clinical and translational medicine · 2019Review
- The power of small changes: Comprehensive analyses of microbial dysbiosis in breast cancer.Biochimica et biophysica acta. Reviews on cancer · 2019Review
- A repository of microbial marker genes related to human health and diseases for host phenotype prediction using microbiome data.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It has been experimentally shown that host-microbial interaction plays a major role in shaping the wellness or disease of the human body. Microorganisms coexisting in human tissues provide a variety of benefits that contribute to proper functional activity in the host through the modulation of fundamental processes such as signal transduction, immunity and metabolism. The unbalance of this microbial profile, or dysbiosis, has been correlated with the genesis and evolution of complex diseases such as cancer. Although this latter disease has been thoroughly studied using different high-throughput (HT) technologies, its heterogeneous nature makes its understanding and proper treatment in patients a remaining challenge in clinical settings. Notably, given the outstanding role of host-microbiome interactions, the ecological interactions with microorganisms have become a new significant aspect in the systems that can contribute to the diagnosis and potential treatment of solid cancers. As a part of expanding precision medicine in the area of cancer research, efforts aimed at effective treatments for various kinds of cancer based on the knowledge of genetics, biology of the disease and host-microbiome interactions might improve the prediction of disease risk and implement potential microbiota-directed therapeutics. In this review, we present the state of the art of sequencing and metabolome technologies, computational methods and schemes in systems biology that have addressed recent breakthroughs of uncovering relationships or associations between microorganisms and cancer. Together, microbiome studies extend the horizon of new personalized treatments against cancer from the perspective of precision medicine through a synergistic strategy integrating clinical knowledge, HT data, bioinformatics, and systems biology.
Indexed as
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.