Autoencoders reveal polyunsaturated fatty acids (PUFA)-Related metabolic signature linked to cancer risk.

doi:10.1016/j.ebiom.2026.106147

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Article

Autoencoders reveal polyunsaturated fatty acids (PUFA)-Related metabolic signature linked to cancer risk.

EBioMedicine - 1 Feb 2026

Breeur Marie, Atkins Joshua, Peruchet-Noray Laia, Bonheme Lisa, Alcala Nicolas, Dossus Laure, Jenab Mazda, Johansson Mattias, Rinaldi Sabina, Travis Ruth C, Bork Christian, Dahm Christina C, Tjønneland Anne, Olsen Anja, Naudin Sabine, Park Seehyun, Truong Therese, Katzke Verena, Le Cornet Charlotte, Schulze Matthias B, Prada Marcela, Sacerdote Carlotta, Bendinelli Benedetta, Agnoli Claudia, Pasanisi Fabrizio, Gálvez-Navas José María, Guevara Marcela, Heath Alicia K, Yarmolinsky James, Gunter Marc J, Ferrari Pietro, Smith-Byrne Karl, Viallon Vivian

Abstract excerpt

BACKGROUND: Metabolomics is a valuable tool for characterising biological mechanisms involved in cancer development, but produces complex datasets with intricate interdependencies. While linear dimension reduction techniques such as principal component analysis (PCA), have proven useful to summarise informative hidden patterns, biological evidence suggests metabolic relationships extend beyond linearity....

Read the complete abstract on PubMed

Topics

Autoencoder
Fatty Acids, Unsaturated
Neoplasms

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Metabolomics

Risk Factors

Case-Control Studies

Delta-5 Fatty Acid Desaturase

Membrane Proteins

Nerve Tissue Proteins

Genetic Variation

Humans

Risk Assessment

Biomarkers, Tumor

Source

Open in PubMed Open full text

Identifiers

PMID: 41637936
DOI: 10.1016/j.ebiom.2026.106147
PMCID: PMC12887666

Genes

PC
TMEM258

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 28 Oct 2026.

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