Evidence map›Paper›PMID 42182448›Full record

ArticlebioRxiv : the preprint server for biology2026

Spatially resolved transcriptomic and proteomic profiling reveals cell interaction programs that predict Barrett's esophagus progression.

Isis Diaz Monarrez, Eun Na Kim, Krio Moon, Ann-Marie Baker, Phyllis Zixuan Chen, Dario Bressan, Ahmad Miremadi, Massimiliano di Pietro, Gregory J Hannon, Trevor A Graham and 3 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Isis Diaz MonarrezDepartment of Biomedical Engineering and Computational Biology Program, Oregon Health and Science University, Portland, OR, USA.
Eun Na KimDepartment of Biomedical Engineering and Computational Biology Program, Oregon Health and Science University, Portland, OR, USA.
Krio MoonDepartment of Biomedical Engineering and Computational Biology Program, Oregon Health and Science University, Portland, OR, USA.
Ann-Marie BakerCentre for Evolution and Cancer, Institute of Cancer Research, London, United Kingdom.
Phyllis Zixuan ChenEarly Cancer Institute, Department of Oncology, University of Cambridge, Cambridge, UK.
Dario BressanEarly Cancer Institute, Department of Oncology, University of Cambridge, Cambridge, UK.
Ahmad MiremadiEarly Cancer Institute, Department of Oncology, University of Cambridge, Cambridge, UK.
Massimiliano di PietroEarly Cancer Institute, Department of Oncology, University of Cambridge, Cambridge, UK.
Gregory J HannonEarly Cancer Institute, Department of Oncology, University of Cambridge, Cambridge, UK.
Trevor A GrahamCentre for Evolution and Cancer, Institute of Cancer Research, London, United Kingdom.
Rebecca C FitzgeraldEarly Cancer Institute, Department of Oncology, University of Cambridge, Cambridge, UK.
Young Hwan ChangDepartment of Biomedical Engineering and Computational Biology Program, Oregon Health and Science University, Portland, OR, USA.ORCID 0000-0001-8764-1959
Lizhe ZhuangEarly Cancer Institute, Department of Oncology, University of Cambridge, Cambridge, UK.

Funding

Integrative single cell analyses of inflammation-derived circulating hybrid cells to identify aggressive diseaseR01CA253860 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI CHANG, YOUNG HWAN, WONG, MELISSA H. · 2021 to 2025
$3.0M
High Performance Computing and Machine Learning Infrastructure for Oregon Life SciencesS10OD034224 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI ELLROTT, KYLE · 2023 to 2023
$2.0M
NCI NIH HHS R01 CA253860NIH HHS S10 OD034224
6 · The paper itself

Abstract

Barrett's esophagus (BE) is the precursor lesion of esophageal adenocarcinoma (EAC). It affects approximately 5% of adults in the United States and significantly increases the risk of developing EAC. However, current surveillance strategies cannot reliably distinguish patients who will progress from those who will remain stable. Direct studies of progressor BE are extremely limited due to availability of tissue with known progression outcomes, and have largely been restricted to genomic profiling approaches. The premalignant cellular landscape of progressor BE remains poorly understood. Here, we used complementary spatial transcriptomic and proteomic imaging to profile 34 non-dysplastic BE patients under endoscopic surveillance, including those who subsequently progressed to dysplasia or EAC, termed "Progressors" and those who remained stable, termed "Non-progressors". Transcriptomics based Xenium analysis captured 974,604 cells across 70 whole-biopsy regions, while protein based imaging mass cytometry profiled 372,242 cells across 119 selected regions. FUME-TCRseq further quantified T cell clonotypes from matched tissues scrolls. Cellular composition was generally similar between Progressors and Non-progressors. However, Progressors showed increased intestinal Barrett's columnar cells, B cells and gastric progenitor-like cells, together with enhanced immune-epithelial interactions, whereas Non-progressors retained coordinated stromal organization. Spatial interaction features strongly outperformed cell composition and density for progression prediction. Combined spatial interaction model achieved an area under the curve (AUC) of 0.97, compared with 0.62 and 0.68 for comparison and density alone. Complementary imaging mass cytometry further resolved the underlying immune programs, identifying cytotoxic and antigen presenting myeloid features enriched in progressors, and CD56

Identifiers

PMID42182448
PMCPMC13192903

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