Evidence map›Paper›PMID 30668143›Full record

ReviewDNA and cell biology2019

microRNA-Mediated Tumor-Microbiota Metabolic Interactions in Colorectal Cancer.

Ce Yuan, Subbaya Subramanian

Abstract readReview
In one paragraph

Review in DNA and cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Trial
  2. Review
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  5. Obesity under the moonlight of c-MYC.Frontiers in cell and developmental biology · 2023
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Bi-direction effects between microbiome and MiRNAs in carcinogenesis.Journal of cancer research and clinical oncology · 2021
    Review
  12. Review
  13. The oralome and its dysbiosis: New insights into oral microbiome-host interactions.Computational and structural biotechnology journal · 2021
    Review
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ce Yuan1 Bioinformatics and Computational Biology Program, University of Minnesota, Minneapolis, Minnesota.
Subbaya Subramanian1 Bioinformatics and Computational Biology Program, University of Minnesota, Minneapolis, Minnesota.

Funding

Atypical Chemokine Receptor 4 (ACKR4) in Anti-tumor Immunity in colorectal cancerR03CA219129 · NCI · UNIVERSITY OF MINNESOTA · PI SUBRAMANIAN, SUBBAYA · 2017 to 2018
$147k
NCI NIH HHS R03 CA219129
6 · The paper itself

Abstract

Worldwide, colorectal cancer (CRC) is one of the leading causes of cancer-related deaths. Recent advances in high-throughput technologies have shown that the gut microbiota may have a major influence on human health, including CRC. Nonetheless, how the gut microbiota interacts with tumor cells in CRC patients is largely unknown. Studies have shown that the microbiota fills in a variety of niche metabolic pathways that the host does not possess. For example, the microbiota produces butyrate, which provides the colon's epithelial cells with about 70% of their energy needs. The typically fast proliferation of tumor cells in CRC patients drastically alters the tumor's nutrient microenvironment. Those alterations correspond to the microbiota composition and functional changes. In tumor cells, a central mediator of metabolic changes is the aberrant expression of microRNAs (miRNAs). In this study, we explored recent insights into metabolic interactions between the microbiota and tumor cells in CRC pathobiology, focusing on the role of miRNAs. These observations support our view that miRNAs may also serve as mediators of the metabolites' effects.

Indexed as

MicrobiotaAnimalsColorectal NeoplasmsHumansMicroRNAsTumor MicroenvironmentMicroRNAscolorectal cancerhigh-throughput technologieshost–microbiota interactionsmetabolismmetabolitesmicrobiotamicroRNAs

Identifiers

PMID30668143
PMCPMC6477581

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.