Evidence map›Paper›PMID 42268459›Full record

ArticleDiscover oncology2026

Identification and Computational validation of ferroptosis suppressor genes as therapeutic targets in pancreatic cancer.

Nitin Kumar Singh, Maninder Singh, Adil Husain, Lina I Alnajjar, Firoz Ahmad, Siddhartha Kumar Mishra, Nawaf Alshamamri, Mohd Saeed, Safia Obaidur Rab, Varsha Gupta

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Nitin Kumar Singh *Department of Life Science and Biotechnology, Chhatrapati Shahu Ji Maharaj University, Kanpur, 208024, Uttar Pradesh, India.ORCID http://orcid.org/0000-0001-9281-6338
Maninder Singh *Department of Radiodiagnosis, King George's Medical University, Lucknow, 226003, Uttar Pradesh, India.ORCID http://orcid.org/0000-0002-8093-3665
Adil HusainDepartment of Biochemistry, Babu Banarasi Das College of Dental Sciences, Babu Banarasi Das University, Lucknow, 226028, Uttar Pradesh, India.ORCID http://orcid.org/0000-0002-7374-0283
Lina I AlnajjarDepartment of Pharmacy Practice, College of Pharmacy, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia.
Firoz AhmadDepartment of Physiological Sciences, Oklahoma Centre for Respiratory and Infectious Diseases, Oklahoma State University, Stillwater, OK, 74074, USA.ORCID http://orcid.org/0000-0003-0563-518X
Siddhartha Kumar MishraDepartment of Biochemistry, University of Lucknow, Lucknow, 226007, Uttar Pradesh, India.ORCID http://orcid.org/0000-0003-1627-1377
Nawaf AlshamamriDepartment of Biology, College of Science, University of Hail, Hail, Saudi Arabia.
Mohd SaeedDepartment of Biology, College of Science, University of Hail, Hail, Saudi Arabia.
Safia Obaidur RabDepartment of Clinical Laboratory Sciences, College of Applied Medical Science, King Khalid University, Abha, Saudi Arabia.
Varsha GuptaDepartment of Life Science and Biotechnology, Chhatrapati Shahu Ji Maharaj University, Kanpur, 208024, Uttar Pradesh, India. varshagupta@csjmu.ac.in.ORCID http://orcid.org/0000-0003-1315-1062

Funding

PNURSP2026R341 R.G.P.2/724/46
6 · The paper itself

Abstract

Pancreatic cancer remains one of the most lethal malignancies, characterised by aggressive progression, metabolic adaptation, and resistance to therapy. Ferroptosis, an iron-dependent form of regulated cell death driven by lipid peroxidation, has emerged as a critical mechanism influencing tumour survival and therapeutic response. However, the role of ferroptosis suppressor genes (FSGs) in pancreatic cancer remains incompletely understood. In this study, FSGs were systematically retrieved from FerrDb V2 and subjected to multi-step filtering to identify a curated set of 196 protein-coding genes. Genomic alteration analysis using cBioPortal across 21 pancreatic cancer studies (n = 5189 samples) identified seven recurrently altered genes (TP53, HSF1, PARP10, ZFP36, SIRT2, ECH1, and ENPP2) with alteration frequencies ≥ 3%. Co-occurrence analysis revealed predominantly cooperative alteration patterns among these genes, suggesting functional complementarity. Survival analysis demonstrated that alterations in FSGs were significantly associated with reduced overall survival in pancreatic cancer, with several genes (ECH1, ZFP36, SIRT2, and ENPP2) showing particularly strong adverse prognostic effects. In contrast, no significant survival associations were observed in oesophageal and gastric cancers, indicating a tumour-specific dependency on ferroptosis-related mechanisms. KEGG pathway enrichment analysis of the broader FSG set revealed significant involvement in pathways related to metabolic regulation (AMPK-mTOR signalling), autophagy, hypoxia response (HIF-1 signalling), and oncogenic signalling (PI3K-Akt pathway). Integration of these findings suggests that ferroptosis suppressor genes contribute to pancreatic cancer progression by promoting metabolic adaptation and resistance to oxidative stress. In conclusion, this study identifies key ferroptosis suppressor genes with prognostic relevance in pancreatic cancer and highlights their integration within critical metabolic and stress-response pathways. The tumour-specific nature of these associations underscores the importance of biological context and supports the potential of FSGs as prognostic biomarkers and potential therapeutic targets in ferroptosis-based strategies.

Indexed as

Ferroptosis suppressor genesGenomic alterationsKEGG pathway enrichmentMetabolic reprogrammingPancreatic cancer (PDAC)Survival analysis

Identifiers

PMID42268459
PMCPMC13481953

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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.