Evidence map›Paper›PMID 30134816›Full record

ReviewMolecular medicine (Cambridge, Mass.)2018

Phyto-polyphenols as potential inhibitors of breast cancer metastasis.

Dimiter Avtanski, Leonid Poretsky

Open access · goldAbstract readReview
In one paragraph

Review in Molecular medicine (Cambridge, Mass.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
4.2field-weighted citation impact, top 4% of its field
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

34 citing papers in PubMed, 89 citations in OpenAlex.

  1. Natural Products Targeting Oxidative Stress-Inflammation Crosstalk in Endometriosis.American journal of reproductive immunology (New York, N.Y. : 1989) · 2026
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  19. Resveratrol enhances AFrontiers in endocrinology · 2022
    Article
  20. Plants (Basel, Switzerland) · 2021
    Article
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 at 1 institution in 1 country.

Dimiter AvtanskiGerald J. Friedman Diabetes Institute at Lenox Hill Hospital, Northwell Health, New York, NY, 10022, USA. davtanski@northwell.edu.
Leonid PoretskyGerald J. Friedman Diabetes Institute at Lenox Hill Hospital, Northwell Health, New York, NY, 10022, USA.
Northwell Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most common cancer among women as metastasis is currently the main cause of mortality. Breast cancer cells undergoing metastasis acquire resistance to death signals and increase of cellular motility and invasiveness.Plants are rich in polyphenolic compounds, many of them with known medicinal effects. Various phyto-polyphenols have also been demonstrated to suppress cancer growth. Their mechanism of action is usually pleiotropic as they target multiple signaling pathways regulating key cellular processes such as proliferation, apoptosis and differentiation. Importantly, some phyto- polyphenols show low level of toxicity to untransformed cells, but selective suppressing effects on cancer cells proliferation and differentiation.In this review, we summarize the current information about the mechanism of action of some phyto-polyphenols that have demonstrated anti-carcinogenic activities in vitro and in vivo. Gained knowledge of how these natural polyphenolic compounds work can give us a clue for the development of novel anti-metastatic agents.

Indexed as

AnimalsAntineoplastic Agents, PhytogenicBreast NeoplasmsHumansPhytotherapyPolyphenolsAntineoplastic Agents, PhytogenicPolyphenolsBreast cancerEGCGKaempferolMetastasisPlant productsPolyphenolsResveratrol

Identifiers

PMID30134816
PMCPMC6016885
OpenAlexW2805893461

What OpenQuestion holds

Textmetadata
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.