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Cell Reports Medicine
Article . 2025 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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PubMed Central
Other literature type . 2025
License: CC BY NC ND
Data sources: PubMed Central
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Research Collection
Article . 2025
License: CC BY NC ND
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Cell states and neighborhoods in distinct clinical stages of primary and metastatic esophageal adenocarcinoma

Authors: Josephine Yates; Camille Mathey-Andrews; Jihye Park; Amanda Garza; Andréanne Gagné; Samantha Hoffman; Kevin Bi; +16 Authors

Cell states and neighborhoods in distinct clinical stages of primary and metastatic esophageal adenocarcinoma

Abstract

Esophageal adenocarcinoma (EAC) is a highly lethal cancer of the upper gastrointestinal tract with rising incidence in western populations. To decipher EAC disease progression and therapeutic response, we perform multiomic analyses of a cohort of primary and metastatic EAC tumors, incorporating single-nuclei transcriptomic and chromatin accessibility sequencing along with spatial profiling. We recover tumor microenvironmental features previously described to associate with therapy response. We subsequently identify five malignant cell programs, including undifferentiated, intermediate, differentiated, epithelial-to-mesenchymal transition, and cycling programs, which are associated with differential epigenetic plasticity and clinical outcomes, and for which we infer candidate transcription factor regulons. Furthermore, we reveal diverse spatial localizations of malignant cells expressing their associated transcriptional programs and predict their significant interactions with microenvironmental cell types. We validate our findings in three external single-cell RNA sequencing (RNA-seq) and three bulk RNA-seq studies. Altogether, our findings advance the understanding of EAC heterogeneity, disease progression, and therapeutic response.

Cell Reports Medicine, 6 (6)

ISSN:2666-3791

Keywords

transcriptomics, computational biology, esophageal adenocarcinoma, epigenetics, esophageal adenocarcinoma; gastrointestinal cancer; computational biology; epigenetics; transcriptomics; spatial transcriptomics; single cell; oncology; bioinformatics, spatial transcriptomics, gastrointestinal cancer, oncology, bioinformatics, Article, single cell

1 Data sources, page 1 of 1
  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
gold