Evidence map›Paper›PMID 40733158›Full record

ArticleMolecules (Basel, Switzerland)2025

Functional Role of Resveratrol in Inducing Apoptosis in Breast Cancer Subtypes via Inhibition of Intracellular Fatty Acid Synthase.

Ping Li, Yan Liang, Xiaofeng Ma

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

3 authors.

Ping LiUniversity of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China.
Yan LiangSchool of Kinesiology and Health, Capital University of Physical Education and Sports, No. 11 Beisanhuanxi Road, Beijing 100191, China.
Xiaofeng MaUniversity of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China.ORCID 0000-0001-9834-5477

Funding

the Fundamental Research Funds for the Central Universities E2E40604the Technology-Empowered University Support Plan of Capital University of Physical Education and Sports 155223019
6 · The paper itself

Abstract

Fatty acid synthase (FASN) is frequently overexpressed in human breast cancer and has emerged as a potential therapeutic target. Resveratrol has been shown to inhibit FASN activity in vitro through both fast-reversible and slow-irreversible mechanisms. In this study, resveratrol reduced intracellular fatty acid levels by inhibiting FASN activity and downregulating its expression across various breast cancer subtypes, including SK-BR-3, MCF-7, and MDA-MB-231 cells. Knockdown of FASN via small interfering RNA (siRNA) further enhanced resveratrol-induced cytotoxicity. Resveratrol significantly suppressed cell viability and triggered apoptosis, as evidenced by increased cleavage of poly(ADP-ribose) polymerase (PARP) and disruption of Bcl-2 family protein balance. Furthermore, resveratrol inhibited key signaling pathways involved in cell proliferation and survival, notably FAK, AKT, and ERK1/2. FASN silencing by siRNA also modulated the activation states of these signaling proteins. Collectively, these findings support resveratrol as a promising anti-cancer candidate that induces apoptosis in diverse breast cancer subtypes via FASN inhibition.

Indexed as

ApoptosisBreast NeoplasmsFatty Acid SynthasesFatty Acid Synthase, Type IStilbenesCell Line, TumorCell ProliferationCell SurvivalFemaleGene Expression Regulation, NeoplasticHumansMCF-7 CellsResveratrolRNA, Small InterferingSignal TransductionFASN protein, humanFatty Acid SynthasesFatty Acid Synthase, Type IResveratrolRNA, Small InterferingStilbenesbreast cancer cellscell apoptosisfatty acid synthaseinhibitorresveratrol

Identifiers

PMID40733158
PMCPMC12298780

What OpenQuestion holds

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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.