Evidence map›Paper›PMID 36112643›Full record

ArticleCancer research2022

Quantitative Spatial Profiling of Immune Populations in Pancreatic Ductal Adenocarcinoma Reveals Tumor Microenvironment Heterogeneity and Prognostic Biomarkers.

Haoyang Mi, Shamilene Sivagnanam, Courtney B Betts, Shannon M Liudahl, Elizabeth M Jaffee, Lisa M Coussens, Aleksander S Popel

Erratum issuedAbstract read
In one paragraph

Article in Cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Review
  2. Spatial Configuration of Pancreatic Cancer Is Associated with Disease Recurrence after Neoadjuvant Therapy and Curative-Intent Resection.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Spatial Architecture of Single-Cell and Vasculature in Tumor Microenvironment Predicts Clinical Outcomes in Triple-Negative Breast Cancer.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Haoyang MiDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0001-8388-008X
Shamilene SivagnanamComputatioanl Biology, Oregon Health and Science University, Portland, Oregon.ORCID 0000-0001-5966-1522
Courtney B BettsDepartment of Cell, Development, and Cancer Biology, Oregon Health and Science University, Portland, Oregon.ORCID 0000-0002-0432-0445
Shannon M LiudahlDepartment of Cell, Development, and Cancer Biology, Oregon Health and Science University, Portland, Oregon.ORCID 0000-0002-8587-8204
Elizabeth M JaffeeSkip Viragh Center for Pancreatic Cancer, The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Johns Hopkins Medicine, Baltimore, Maryland.ORCID 0000-0003-3841-6549
Lisa M Coussens *Department of Cell, Development, and Cancer Biology, Oregon Health and Science University, Portland, Oregon.ORCID 0000-0003-2389-1865
Aleksander S Popel *Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland.ORCID 0000-0002-6706-9235

Funding

Omic and Multidimensional Spatial Atlas of Metastatic Breast CancerU2CCA233280 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI GOECKS, JEREMY · 2018 to 2023
$9.7M
Predictive experiment-based multiscale models of the tumor immune microenvironment and immunotherapy in breast cancerR01CA138264 · NCI · JOHNS HOPKINS UNIVERSITY · PI POPEL, ALEKSANDER S. · 2009 to 2023
$8.1M
Integrating bioinformatics into multiscale models for hepatocellular carcinomaU01CA212007 · NCI · JOHNS HOPKINS UNIVERSITY · PI EWALD, ANDREW JOSEF, FERTIG, ELANA · 2018 to 2022
$3.2M
Comparative analysis between patient-derived models of pancreatic ductal adenocarcinomas and matched tumor specimensU01CA224012 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI BRODY, JONATHAN, COUSSENS, LISA M. · 2019 to 2023
$2.9M
NCI NIH HHS R01 CA138264NCI NIH HHS U01 CA212007NCI NIH HHS U01 CA224012NCI NIH HHS U2C CA233280
6 · The paper itself

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive disease with poor 5-year survival rates, necessitating identification of novel therapeutic targets. Elucidating the biology of the tumor immune microenvironment (TiME) can provide vital insights into mechanisms of tumor progression. In this study, we developed a quantitative image processing platform to analyze sequential multiplexed IHC data from archival PDAC tissue resection specimens. A 27-plex marker panel was employed to simultaneously phenotype cell populations and their functional states, followed by a computational workflow to interrogate the immune contextures of the TiME in search of potential biomarkers. The PDAC TiME reflected a low-immunogenic ecosystem with both high intratumoral and intertumoral heterogeneity. Spatial analysis revealed that the relative distance between IL10+ myelomonocytes, PD-1+ CD4+ T cells, and granzyme B+ CD8+ T cells correlated significantly with survival, from which a spatial proximity signature termed imRS was derived that correlated with PDAC patient survival. Furthermore, spatial enrichment of CD8+ T cells in lymphoid aggregates was also linked to improved survival. Altogether, these findings indicate that the PDAC TiME, generally considered immuno-dormant or immunosuppressive, is a spatially nuanced ecosystem orchestrated by ordered immune hierarchies. This new understanding of spatial complexity may guide novel treatment strategies for PDAC. SIGNIFICANCE: Quantitative image analysis of PDAC specimens reveals intertumoral and intratumoral heterogeneity of immune populations and identifies spatial immune architectures that are significantly associated with disease prognosis.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsBiomarkers, TumorEcosystemHumansPrognosisTumor MicroenvironmentBiomarkers, Tumor

Identifiers

PMID36112643
PMCPMC9716253

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.