Clonal cell states link gastroesophageal junction tissues with metaplasia and cancer

Barrett's esophagus is a common type of metaplasia and a precursor of esophageal adenocarcinoma. However, the cell states and lineage connections underlying the origin, maintenance, and progression of Barrett's esophagus have not been resolved in humans. Here, we perform single-cell lineage tracing and transcriptional profiling of patient cells isolated from metaplastic and healthy tissue. Our analysis unexpectedly reveals evidence for lineages spanning squamous esophagus, gastric cardia, and transitional basal cells at the tissue junction. We also identify lineages connecting Barrett's esophagus to both esophageal and gastric tissues. Barrett's esophagus biopsies consist of multiple distinct clones, with lineages that contain all progenitor and differentiated cell types. We discover Barrett's esophagus cell types, including tuft, ciliated, and BEST4+ cells, which we validate through both lineage relationships and spatial transcriptomics. In contrast, the precancerous dysplastic lesions show expansion from a single molecularly aberrant Barrett's esophagus clone. Together, these findings provide a single-cell view of the cell dynamics of Barrett's esophagus, linking cell states along the disease trajectory, from its origin to cancer.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-12-08
DOI
https://doi.org/10.1038/s41467-025-66302-w
Primary Topic
Esophageal Cancer Research and Treatment
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clonal cell states link gastroesophageal junction tissues with metaplasia and cancer

Rodrigo A. Gier, Nancy R. Zhang, Sydney M. Shaffer, Sydney A. Bracht et al.
Nature Communications
Esophageal Cancer Research and Treatment
article

Clonal cell states link gastroesophageal junction tissues with metaplasia and cancer

Rodrigo A. Gier, Nancy R. Zhang, Sydney M. Shaffer, Sydney A. Bracht, Raúl A. Reyes Hueros, Jiazhen Rong, Maureen DeMarshall, Gary W. Falk, Tatiana A. Karakasheva, Christopher Coté, Madison Wahlsten, Amanda B. Muir, Alexandra Strauss Starling
article en

Abstract

Barrett's esophagus is a common type of metaplasia and a precursor of esophageal adenocarcinoma. However, the cell states and lineage connections underlying the origin, maintenance, and progression of Barrett's esophagus have not been resolved in humans. Here, we perform single-cell lineage tracing and transcriptional profiling of patient cells isolated from metaplastic and healthy tissue. Our analysis unexpectedly reveals evidence for lineages spanning squamous esophagus, gastric cardia, and transitional basal cells at the tissue junction. We also identify lineages connecting Barrett's esophagus to both esophageal and gastric tissues. Barrett's esophagus biopsies consist of multiple distinct clones, with lineages that contain all progenitor and differentiated cell types. We discover Barrett's esophagus cell types, including tuft, ciliated, and BEST4+ cells, which we validate through both lineage relationships and spatial transcriptomics. In contrast, the precancerous dysplastic lesions show expansion from a single molecularly aberrant Barrett's esophagus clone. Together, these findings provide a single-cell view of the cell dynamics of Barrett's esophagus, linking cell states along the disease trajectory, from its origin to cancer.

Nature CommunicationsVol. 16(1)
Children's Hospital of Philadelphia (US), University of Pennsylvania (US)
National Science Foundation, Damon Runyon Cancer Research Foundation, Children's Hospital of Philadelphia, University of Pennsylvania, Institute for Translational Medicine and Therapeutics, National Institutes of Health, Perelman School of Medicine, University of Pennsylvania, National Institute of General Medical Sciences, National Institute of Diabetes and Digestive and Kidney Diseases, National Center for Advancing Translational Sciences
Openalex Percentile: Top 42%
Esophageal Cancer Research and Treatment
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.