Evidence map›Paper›PMID 39933948›Full record

ArticleBiomolecules & therapeutics2025

Isoliquiritigenin Induces Apoptosis via ROS-Mediated Inhibition of p38/mTOR/STAT3 Pathway in Human Melanoma Cells.

Mi Jeong Kwon, Pawan Kumar Raut, Jeong-Hoon Jang, Kyung-Soo Chun

Abstract read
In one paragraph

Article in Biomolecules & therapeutics, 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. Review
  2. 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

4 authors.

Mi Jeong KwonCollege of Pharmacy, Keimyung University, Daegu 42601, Republic of Korea.
Pawan Kumar RautCollege of Pharmacy, Keimyung University, Daegu 42601, Republic of Korea.
Jeong-Hoon JangCollege of Pharmacy, Daegu Catholic University, Gyeongsan 38430, Republic of Korea.
Kyung-Soo ChunCollege of Pharmacy, Keimyung University, Daegu 42601, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isoliquiritigenin (ISL), a phenolic compound derived from licorice, exhibits various biological activities, including anti-inflammatory, anti-viral, anti-tumor, and antioxidant effects. However, the molecular mechanisms underlying its anti-cancer effects are not well understood in SK-MEL-28 melanoma cells. Melanoma, a highly aggressive and treatment-resistant cancer, remains a significant health challenge. This study investigates the anti-cancer effects of ISL, focusing on identifying reactive oxygen species (ROS)-mediated apoptosis mechanisms on SK-MEL-28 melanoma cells. Our results show that ISL treatment induces apoptosis in SK-MEL-28 cells, as evidenced by the cleavage of caspase-9, -7, -3, and PARP. ISL increased Bax expression, decreased Bcl-2 expression, and promoted cytochrome C release into the cytosol. ISL also reduced the expression of cell cycle markers, including cyclin D1, D3, and survivin. Notably, ISL treatment markedly increased intracellular ROS levels and pretreatment with N-acetyl cysteine, a ROS scavenger, abrogated the ISL-induced inhibition of the p38/mTOR/STAT3 pathway and prevented apoptosis. Moreover, ISL significantly diminished the constitutive phosphorylation of mTOR and STAT3 in SK-MEL-28 cells by blocking the phosphorylation of p38 MAPK, an upstream kinase of mTOR. Pharmacological inhibition of mTOR attenuated the STAT3 signaling, indicating that mTOR acts as an upstream kinase of STAT3 in these cells. Collectively, these findings demonstrate that ISL inhibits SK-MEL-28 cell growth by downregulating cell survival proteins and inducing apoptosis through ROS generation.

Indexed as

ApoptosisIsoliquiritigeninMelanomaROSSK-MEL-28 cells

Identifiers

PMID39933948
PMCPMC11893486

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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.