ArticleTanaffos2025
Exploring Molecular Mechanism of Ferroptosis in A549 Lung Cancer Cells.
Article in Tanaffos, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Ferroptosis is a non-apoptotic cell death pattern caused by iron-dependent lipid peroxidation injury. It is a new strategy for lung cancer treatment. Molecular mechanism detection of ferroptosis via protein-protein interaction (PPI) network analysis is the main aim of this investigation. Materials and Methods: To detect gene expression changes related to ferroptosis, Gse247883 from Gene Expression Omnibus (GEO) was a candidate to be analyzed via PPI network analysis. The gene expression profiles of A549 lung cancer cells were compared with those of controls via the GEO2R program. Volcano plot visualized the significantly differentially expressed genes (DEGs). The hubs of up- and downregulated PPI networks were determined and enriched for related biological processes. Results: Some 14 hubs, including EGFR, TXNRD1, SOD1, TXN, PRDX1, PTGS2, CXCL8, TLR4, CALR, P4HB, UBC, GSR, and VCP, among the 295 recognized significant upregulated DEGs and 13 hubs; PTEN, HNRNPA1, HNRNPA2B1, HSP90AB1, NPM1, XPO1, ANLN, HNRNPC, PPP1CC, NCL, EEF1A1, HSPD1, and MATR3 for the downregulated PPI network of 249 recognized significant DEGs were determined. A total of 11 and 6 groups of various types of biological groups related to the hubs of the up- and downregulated PPI network were identified, respectively. Conclusion: In conclusion, most effects of ferroptosis are regulation of EGFR, TXNRD1, SOD1, TXN, PRDX1, PTGS2, TLR4, P4HB, UBC, GSR, VCP, PTEN, HNRNPA1, HNRNPA2B1, HSP90AB1, NPM1, XPO1, HNRNPC, NCL, EEF1A1, and HSPD1 genes and "Regulation of oxidative stress-induced cell death", "Telomere maintenance via telomere lengthening", and "RNA-dependent DNA biosynthetic process" groups of biological processes.
Indexed as
Identifiers
42757385PMC13585211What OpenQuestion holds
Registered trials
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.