Ramon M Rodriguez, Karim Pérez-Romero, Albert Maimó-Barceló, Teresa Ximelis, Cristina Huergo-Baños, Marcos A Martínez, Juan José Segura-Sampedro, Rafael Morales-Soriano, Cristina Pineño-Flores, Álvaro García-Granero, Sebastián Jerí, Ana M Aransay, José A Fernández, Gwendolyn Barceló-Coblijn
{"title":"Spatial membrane lipid remodelling encodes epithelial lineage and state in human colon cancer.","authors":"Ramon M Rodriguez, Karim Pérez-Romero, Albert Maimó-Barceló, Teresa Ximelis, Cristina Huergo-Baños, Marcos A Martínez, Juan José Segura-Sampedro, Rafael Morales-Soriano, Cristina Pineño-Flores, Álvaro García-Granero, Sebastián Jerí, Ana M Aransay, José A Fernández, Gwendolyn Barceló-Coblijn","doi":"10.1016/j.ebiom.2026.106473","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Cancer progression is driven by spatially organised intratumoural heterogeneity, yet the molecular basis of this organisation remains incompletely understood. While spatial transcriptomics has advanced rapidly, the spatial architecture and functional relevance of tumour lipid metabolism remain poorly characterised. We aimed to resolve whether membrane phospholipid remodelling is spatially organised across epithelial cell states in human colon cancer.</p><p><strong>Methods: </strong>We developed an integrative spatial multi-omic strategy linking mass spectrometry imaging to transcriptome-defined cellular states on consecutive tissue sections from primary and intraperitoneal metastatic human colon cancer specimens. Epithelial lipid phenotypes were characterised, validated in an independent cohort, and linked to transcriptional programmes.</p><p><strong>Findings: </strong>We identified four spatially organised epithelial lipid phenotypes defined by membrane phospholipid composition. These phenotypes aligned with transcriptional programmes reflecting epithelial lineage and differentiation state, and were organised along a differentiation axis marked by coordinated remodelling of arachidonic acid-, oleic acid-, and linoleic acid-containing phospholipids. Secretory-associated states, enriched in metastatic lesions, showed increased DHA-containing phospholipids and activation of peroxisomal pathways. Lipid phenotype assignments were reproducible across an independent cohort.</p><p><strong>Interpretation: </strong>Membrane phospholipid composition encodes biologically meaningful epithelial cell states within human tumours, establishing lipid remodelling as a structured and spatially organised dimension of tumour heterogeneity.</p><p><strong>Funding: </strong>This study was supported by the ISCIII (PI19/00002, PI24/00313), the Health Research Institute of the Balearic Islands (IMP22/04), the Government of the Balearic Islands (AP_2021_001), the Basque Government (IT1491-22), the European Regional Development Fund, and the Scientific Foundation, Spanish Association Against Cancer (INVES222995RODR).</p>","PeriodicalId":11494,"journal":{"name":"EBioMedicine","volume":"132 ","pages":"106473"},"PeriodicalIF":11.2000,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13581992/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EBioMedicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.ebiom.2026.106473","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/9/10 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Cancer progression is driven by spatially organised intratumoural heterogeneity, yet the molecular basis of this organisation remains incompletely understood. While spatial transcriptomics has advanced rapidly, the spatial architecture and functional relevance of tumour lipid metabolism remain poorly characterised. We aimed to resolve whether membrane phospholipid remodelling is spatially organised across epithelial cell states in human colon cancer.
Methods: We developed an integrative spatial multi-omic strategy linking mass spectrometry imaging to transcriptome-defined cellular states on consecutive tissue sections from primary and intraperitoneal metastatic human colon cancer specimens. Epithelial lipid phenotypes were characterised, validated in an independent cohort, and linked to transcriptional programmes.
Findings: We identified four spatially organised epithelial lipid phenotypes defined by membrane phospholipid composition. These phenotypes aligned with transcriptional programmes reflecting epithelial lineage and differentiation state, and were organised along a differentiation axis marked by coordinated remodelling of arachidonic acid-, oleic acid-, and linoleic acid-containing phospholipids. Secretory-associated states, enriched in metastatic lesions, showed increased DHA-containing phospholipids and activation of peroxisomal pathways. Lipid phenotype assignments were reproducible across an independent cohort.
Interpretation: Membrane phospholipid composition encodes biologically meaningful epithelial cell states within human tumours, establishing lipid remodelling as a structured and spatially organised dimension of tumour heterogeneity.
Funding: This study was supported by the ISCIII (PI19/00002, PI24/00313), the Health Research Institute of the Balearic Islands (IMP22/04), the Government of the Balearic Islands (AP_2021_001), the Basque Government (IT1491-22), the European Regional Development Fund, and the Scientific Foundation, Spanish Association Against Cancer (INVES222995RODR).
EBioMedicineBiochemistry, Genetics and Molecular Biology-General Biochemistry,Genetics and Molecular Biology
CiteScore
17.70
自引率
0.90%
发文量
579
审稿时长
5 weeks
期刊介绍:
eBioMedicine is a comprehensive biomedical research journal that covers a wide range of studies that are relevant to human health. Our focus is on original research that explores the fundamental factors influencing human health and disease, including the discovery of new therapeutic targets and treatments, the identification of biomarkers and diagnostic tools, and the investigation and modification of disease pathways and mechanisms. We welcome studies from any biomedical discipline that contribute to our understanding of disease and aim to improve human health.