Evidence map›Paper›PMID 31938038›Full record

ReviewInfectious agents and cancer2020

Current shreds of evidence on the anticancer role of EGCG in triple negative breast cancer: an update of the current state of knowledge.

Sabrina Bimonte, Marco Cascella, Antonio Barbieri, Claudio Arra, Arturo Cuomo

Open access · goldAbstract readReview
In one paragraph

Review in Infectious agents and cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 65 citations in OpenAlex.

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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 at 1 institution in 1 country.

Sabrina Bimonte1Division of Anesthesia and Pain Medicine, Istituto Nazionale Tumori - IRCCS - "Fondazione G. Pascale", Naples, Italy.ORCID 0000-0002-5408-9675
Marco Cascella1Division of Anesthesia and Pain Medicine, Istituto Nazionale Tumori - IRCCS - "Fondazione G. Pascale", Naples, Italy.
Antonio Barbieri2S.S.D. Sperimentazione Animale, Istituto Nazionale Tumori - IRCCS - "Fondazione G. Pascale", Naples, Italy.
Claudio Arra2S.S.D. Sperimentazione Animale, Istituto Nazionale Tumori - IRCCS - "Fondazione G. Pascale", Naples, Italy.
Arturo Cuomo1Division of Anesthesia and Pain Medicine, Istituto Nazionale Tumori - IRCCS - "Fondazione G. Pascale", Naples, Italy.
Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-Negative Breast Cancer (TNBC), represents a subtype of breast cancer in which the estrogens receptor (ER) negative, the progesterone receptor (PR) negative and the human epidermal growth factor receptor 2 (HER2) negative, are not expressed. Thusly, TNBC does not respond to hormonal therapies or to those targeting the HER2 protein receptors. To overcome this flawed issue, new alternative therapies based on the use of natural substances, as the (-) - epigallocatechin 3-gallate (EGCG), has been proposed. It is largely documented that EGCG, the principal constituent of green tea, has suppressive effects on different types of cancer, including breast cancer, through the regulation of different signaling pathways. Thus, is reasonable to assume that EGCG could be viewed as a therapeutic option for the prevention and the treatment of TNBC. Here, we summarizing these promising results with the scope of turn a light on the potential roles of EGCG in the treatment of TNBC patients.

Indexed as

Anticancer activityApoptosis(−)-epigallocatechin 3-gallateTriple-negative breast cancer

Identifiers

PMID31938038
PMCPMC6954554
OpenAlexW3004712665

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.