Evidence map›Paper›PMID 40427585›Full record

ArticleBiomolecules2025

Enhancing Ferroptosis in Lung Adenocarcinoma Cells via the Synergistic Action of Nonthermal Biocompatible Plasma and a Bioactive Phenolic Compound.

Sabnaj Khanam, Young June Hong, Youngsun Kim, Eun Ha Choi, Ihn Han

Abstract read
In one paragraph

Article in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Sabnaj KhanamDepartment of Plasma Bio-Display, Kwangwoon University, Seoul 01897, Republic of Korea.
Young June HongPlasma Bioscience Research Center (PBRC), Kwangwoon University, Seoul 01897, Republic of Korea.
Youngsun KimDepartment of Obstetrics and Gynecology, Kyung Hee University Medical Center, Seoul 02447, Republic of Korea.ORCID 0000-0002-1725-0968
Eun Ha ChoiDepartment of Plasma Bio-Display, Kwangwoon University, Seoul 01897, Republic of Korea.ORCID 0000-0001-5385-1878
Ihn HanDepartment of Plasma Bio-Display, Kwangwoon University, Seoul 01897, Republic of Korea.ORCID 0000-0002-1372-7319

Funding

Ministry of Education 2021R1A6A1A03038785Ministry of Science and ICT 2022R1F1A1074105
6 · The paper itself

Abstract

Para-coumaric acid (p-CA) is a phenolic compound that has antioxidant, anti-inflammatory, and anticancer properties which make it potential for cancer treatment. However, its effectiveness has been limited by poor solubility, rapid metabolism, and poor absorptivity. Nonthermal biocompatible pressure plasma (NBP) has gained attention as a cancer treatment due to its ability to generate reactive oxygen and nitrogen species (RONS), inducing oxidative stress that damages cancer cells. This study aimed to investigate the combined effect of NBP and p-CA on the induction of ferroptosis in lung adenocarcinoma via the GPX4, xCT, and NRF2 pathways. H460 and A549 lung adenocarcinoma cells as well as normal lung cells (MRC5) were treated with p-CA, NBP, and their combination. Cell movement, intracellular RONS levels, and lipid peroxidation, along with apoptosis and ferroptosis-related gene expression, were evaluated by co-treatment. Co-treatment also significantly elevated NO

Indexed as

Adenocarcinoma of LungFerroptosisLung NeoplasmsPlasma GasesPropionatesA549 CellsCell Line, TumorCell SurvivalCoumaric AcidsHumansLipid PeroxidationOxidative StressReactive Oxygen SpeciesCoumaric Acidsp-coumaric acidPlasma GasesPropionatesReactive Oxygen Speciesco-treatmentferroptosislung adenocarcinoma cellsnonthermal biocompatible pressure plasma (NBP)para-coumaric acid (p-CA)

Identifiers

PMID40427585
PMCPMC12108647

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Registered trials

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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.