Evidence map›Paper›PMID 40248930›Full record

ReviewCurrent medicinal chemistry2025

Anti-cancer Properties of Epigallocatechin-3-gallate (EGCG) and its Signaling Pathways.

Amin Gasmi, Alain Menzel, Asma Gasmi Benahmed, Kateryna Uminska, Olha Mykhailenko, Victoriya Georgiyants, Salva Piscopo, Massimiliano Peana, Geir Bjørklund

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Amin GasmiSociété Francophone de Nutrithérapie et de Nutrigénétique Appliquée, Villeurbanne, France.
Alain MenzelLaboratoires Réunis, Junglinster, Luxembourg.
Asma Gasmi BenahmedAcadémie Internationale de Médecine Dentaire Intégrative, Paris, France.
Kateryna UminskaZhytomyr Basic Pharmaceutical Professional College, Zhytomyr, Ukraine.
Olha MykhailenkoPharmacognosy and Phytotherapy Group, UCL School of Pharmacy, London, United Kingdom.
Victoriya GeorgiyantsCONEM Ukraine group Bromatology and Medicinal chemistry, National University of Pharmacy, Kharkiv, Ukraine.
Salva PiscopoSociété Francophone de Nutrithérapie et de Nutrigénétique Appliquée, Villeurbanne, France.
Massimiliano PeanaDepartment of Chemical, Physical, Mathematical and Natural Sciences, University of Sassari, Sassari, Italy.
Geir BjørklundCouncil for Nutritional and Environmental Medicine, Mo i Rana, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green tea is a traditional drink found in Asian countries, made up of four derivatives. One of the derivatives is epigallocatechin-3-gallate (EGCG). EGCG provides therapeutic benefits for cancer, heart disease, diabetes, and obesity. However, its poor absorption and instability limit its effectiveness, which can be improved using nanoparticle encapsulation. This work is a comprehensive review of the studies on green tea polyphenols, the impact of pro-oxidants and EGCG in cancer prevention, and their delivery using nanotechnology. Other plant sources of ellagitannin and its physicochemical properties, the therapeutic and preventive role of EGCG in breast cancer, and other cancers that can be treated using nano gold (NpAu) carriers are also discussed.

Indexed as

Antineoplastic AgentsCatechinNeoplasmsSignal TransductionAnimalsHumansTeaAntineoplastic AgentsCatechinepigallocatechin gallateTeachemopreventionEpigallocatechin-3-gallategreen teanano gold.nanoparticlespolyphenolsrooibos

Identifiers

What OpenQuestion holds

Textmetadata
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.