Spatial membrane lipid remodelling encodes epithelial lineage and state in human colon cancer

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).

Authors

Institutions

Publication Details

Journal
EBioMedicine
Published
2026-09-10
DOI
https://doi.org/10.1016/j.ebiom.2026.106473
Primary Topic
Cancer, Lipids, and Metabolism
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Spatial membrane lipid remodelling encodes epithelial lineage and state in human colon cancer

José A. Fernández, Teresa Ximelis, Cristina Pineño‐Flores, Rafael Morales-Soriano et al.
EBioMedicine
Cancer, Lipids, and Metabolism
article

Spatial membrane lipid remodelling encodes epithelial lineage and state in human colon cancer

José A. Fernández, Teresa Ximelis, Cristina Pineño‐Flores, Rafael Morales-Soriano, Juan José Segura‐Sampedro, Ramón María Alvargonzález Rodríguez, Ana M. Aransay, Cristina Huergo, Martínez Ferro M, Gwendolyn Barceló Coblijn, Albert Maimo-Barcelo, Karim Pérez-Romero, Álvaro García-Granero, Sebastián Jerí
article en

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).

EBioMedicineVol. 132
Universidad San Pablo CEU (ES), University of the Basque Country (ES), Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (ES), Hospital La Paz Institute for Health Research (ES), CIC bioGUNE (ES), Health Research Institute of the Balearic Islands (ES), Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (ES), Hospital Universitario Son Espases (ES)
Partnerships for the goals
Openalex Percentile: Top 14%
Cancer, Lipids, and Metabolism
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.