Evidence map›Paper›PMID 37633924›Full record

ArticleNature communications2023

Coordinated single-cell tumor microenvironment dynamics reinforce pancreatic cancer subtype.

Ki Oh, Yun Jae Yoo, Luke A Torre-Healy, Manisha Rao, Danielle Fassler, Pei Wang, Michael Caponegro, Mei Gao, Joseph Kim, Aaron Sasson and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Article
  3. SDC1Gut · 2026
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  8. Review
  9. Article
  10. Article
  11. Integration of Bulk and Single-Cell RNA Sequencing Analyses in Biomedicine.International journal of molecular sciences · 2026
    Review
  12. Review
  13. GlycoChat Uncovers Glycan-Lectin Circuits in the Tumor Microenvironment of Pancreatic Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
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  19. Review
  20. Article
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.

Ki OhDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA.
Yun Jae YooDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA.ORCID http://orcid.org/0000-0003-2144-8480
Luke A Torre-HealyDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA.ORCID http://orcid.org/0000-0002-9513-4620
Manisha RaoDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.
Danielle FasslerDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA.
Pei WangDepartment of Cell Systems & Anatomy, University of Texas Health Science Center, San Antonio, TX, USA.
Michael CaponegroDepartment of Pharmacology, Stony Brook University, Stony Brook, NY, USA.
Mei GaoDepartment of Surgery, University of Kentucky and Markey Cancer Center, Lexington, KY, USA.
Joseph KimDepartment of Surgery, University of Kentucky and Markey Cancer Center, Lexington, KY, USA.
Aaron SassonDepartment of Surgery, Stony Brook University, Stony Brook, NY, USA.
Georgios GeorgakisDepartment of Surgery, Stony Brook University, Stony Brook, NY, USA.
Scott PowersDepartment of Pathology, Stony Brook University, Stony Brook, NY, USA.
Richard A MoffittDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA. richard.austin.moffitt@emory.edu.ORCID http://orcid.org/0000-0003-2723-5902

Funding

Single Cell Deconvolution of the Pancreatic Tumor MicroenvironmentF30CA257489 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI OH, KI · 2021 to 2024
$186k
NCI NIH HHS F30 CA257489
6 · The paper itself

Abstract

Bulk analyses of pancreatic ductal adenocarcinoma (PDAC) samples are complicated by the tumor microenvironment (TME), i.e. signals from fibroblasts, endocrine, exocrine, and immune cells. Despite this, we and others have established tumor and stroma subtypes with prognostic significance. However, understanding of underlying signals driving distinct immune and stromal landscapes is still incomplete. Here we integrate 92 single cell RNA-seq samples from seven independent studies to build a reproducible PDAC atlas with a focus on tumor-TME interdependence. Patients with activated stroma are synonymous with higher myofibroblastic and immunogenic fibroblasts, and furthermore show increased M2-like macrophages and regulatory T-cells. Contrastingly, patients with 'normal' stroma show M1-like recruitment, elevated effector and exhausted T-cells. To aid interoperability of future studies, we provide a pretrained cell type classifier and an atlas of subtype-based signaling factors that we also validate in mouse data. Ultimately, this work leverages the heterogeneity among single-cell studies to create a comprehensive view of the orchestra of signaling interactions governing PDAC.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsAnimalsFibroblastsMiceTumor Microenvironment

Identifiers

PMID37633924
PMCPMC10460409

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.