Evidence map›Paper›PMID 30263058›Full record

ReviewEcancermedicalscience2018

Moving on from Metchnikoff: thinking about microbiome therapeutics in cancer.

Saman Maleki Vareki, Ryan M Chanyi, Kamilah Abdur-Rashid, Liam Brennan, Jeremy P Burton

Abstract readReview
In one paragraph

Review in Ecancermedicalscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

5 authors.

Saman Maleki VarekiDivision of Experimental Oncology, Department of Oncology, Schulich School of Medicine, 1151 Richmond St, London, ON N6A 5C1, Canada.
Ryan M ChanyiLawson Health Research Institute, 268 Grosvenor Street, London ON N6A 4V2, Canada.
Kamilah Abdur-RashidLawson Health Research Institute, 268 Grosvenor Street, London ON N6A 4V2, Canada.
Liam BrennanLawson Health Research Institute, 268 Grosvenor Street, London ON N6A 4V2, Canada.
Jeremy P BurtonLawson Health Research Institute, 268 Grosvenor Street, London ON N6A 4V2, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precision medicine now needs to also consider the microbiome in oncology treatment. Ingested substances, whether they are a carcinogenic or therapeutic agent, will likely come into contact with the microbiota. Even those delivered extra-intestinally can be influenced beyond xenobiotic metabolism by biochemical factors associated with the microbiota or by an immunological predisposition created by the microbiome. We need to undertake one of the largest paradigm shifts to ever occur in medicine, that is, every drug or ingested substance needs to be re-evaluated for its pharmacological effect post-microbiome interaction. The importance of the microbiome with a focus on the treatment of cancer is discussed. In the near future, it may be possible to specifically manipulate the microbial composition within cancer patients to improve the therapeutic potential of existing oncological agents. However, the current tools to do so are limited. Targeted modulation is likely to be achieved by addition, selective enhancement or depletion of specific microbial types. This may include compounds such as narrow spectrum antimicrobial agents or oligosaccharides that will kill or enhance the bacterial growth of distinct members of the microbiota, respectively. This will stimulate a new era in these fields.

Indexed as

faecal transplantoligosaccharidesprebioticprobiotic

Identifiers

PMID30263058
PMCPMC6145517

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.