ReviewWorld journal of clinical oncology2025
Emerging multifaceted roles of the microbiome in cancer susceptibility.
Review in World journal of clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Identifying the factors that contribute to individual susceptibility to cancer is essential for both prevention and treatment. The advancement of biotechnologies, particularly next-generation sequencing, has accelerated the discovery of genetic variants linked to cancer susceptibility. While hundreds of cancer-susceptibility genes have been identified, they only explain a small fraction of the overall cancer risk, a phenomenon known as "missing heritability". Despite progress, even considering factors such as epistasis, epigenetics, and gene-environment interactions, the missing heritability remains unresolved. Recent research has revealed that an individual's microbiome composition plays a significant role in cancer susceptibility through several mechanisms, such as modulating immune cell activity and influencing the presence or removal of environmental carcinogens. In this review, we examine the multifaceted roles of the microbiome in cancer risk and explore gene-microbiome and environment-microbiome interactions that may contribute to cancer susceptibility. Additionally, we highlight the importance of experimental models, such as collaborative cross mice, and advanced analytical tools, like artificial intelligence, in identifying microbial factors associated with cancer risk. Understanding these microbial determinants can open new avenues for interventions aimed at reducing cancer risk and guide the development of more effective cancer treatments.
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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.