Evidence map›Paper›PMID 32516589›Full record

ArticleCancer cell2020

Visualizing Synaptic Transfer of Tumor Antigens among Dendritic Cells.

Megan K Ruhland, Edward W Roberts, En Cai, Adriana M Mujal, Kyle Marchuk, Casey Beppler, David Nam, Nina K Serwas, Mikhail Binnewies, Matthew F Krummel

Abstract read
In one paragraph

Article in Cancer cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers.

0numbers the graph read from it
0cells of the map it votes in
146citing 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

146 citing papers in PubMed.

  1. CD4Oncoimmunology · 2026
    Article
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  3. Review
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  5. Priming of CD8Nature neuroscience · 2026
    Article
  6. Article
  7. Review
  8. Review
  9. Article
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  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

86 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Megan K RuhlandDepartment of Pathology, University of California San Francisco, San Francisco, CA 94143, USA.
Edward W RobertsDepartment of Pathology, University of California San Francisco, San Francisco, CA 94143, USA.
En CaiDepartment of Pathology, University of California San Francisco, San Francisco, CA 94143, USA.
Adriana M MujalDepartment of Pathology, University of California San Francisco, San Francisco, CA 94143, USA.
Kyle MarchukDepartment of Pathology, University of California San Francisco, San Francisco, CA 94143, USA; Biological Imaging Development CoLab, University of California, San Francisco, CA 94143, USA.
Casey BepplerDepartment of Pathology, University of California San Francisco, San Francisco, CA 94143, USA.
David NamDepartment of Pathology, University of California San Francisco, San Francisco, CA 94143, USA.
Nina K SerwasDepartment of Pathology, University of California San Francisco, San Francisco, CA 94143, USA.
Mikhail BinnewiesDepartment of Pathology, University of California San Francisco, San Francisco, CA 94143, USA.
Matthew F KrummelDepartment of Pathology, University of California San Francisco, San Francisco, CA 94143, USA. Electronic address: matthew.krummel@ucsf.edu.

Funding

Research BaseP30DK063720 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRUMMEL, MATTHEW F · 2003 to 2019
$21.8M
MOLECULAR AND CELLULAR IMMUNOLOGYT32AI007334 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CYSTER, JASON G · 1988 to 2023
$11.0M
Integrating targeted and immunotherapy to treat genetically heterogeneous cancersU01CA217864 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BALMAIN, ALLAN, KRUMMEL, MATTHEW F · 2017 to 2021
$5.1M
The Tumor Microenvironment Niche of Type I conventional Dendritic CellsR01CA197363 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW F KRUMMEL · 2017 to 2026
$4.5M
Manipulating collectivity and Niches for Developing CD8 ImmunityR01AI114787 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRUMMEL, MATTHEW F · 2015 to 2019
$2.2M
Leukocyte Biomarkers for Predicting Human Breast Cancer OutcomesU54CA163123 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COUSSENS, LISA M., DALDRUP-LINK, HEIKE ELIZABETH · 2011 to 2015
$2.0M
UCSF DVS CyTOF Mass CytometerS10OD018040 · OD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LANIER, LEWIS LEE · 2014 to 2014
$600k
CUTTING EDGE LINEAGE TRACKING OF TUMOR-EDUCATED IMMUNE CELLSR21CA191428 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRUMMEL, MATTHEW F · 2015 to 2016
$391k
NCI NIH HHS R01 CA197363NCI NIH HHS R21 CA191428NCI NIH HHS U01 CA217864NCI NIH HHS U54 CA163123NIAID NIH HHS R01 AI114787NIAID NIH HHS T32 AI007334NIDDK NIH HHS P30 DK063720NIH HHS S10 OD018040
6 · The paper itself

Abstract

Generation of tumor-infiltrating lymphocytes begins when tumor antigens reach the lymph node (LN) to stimulate T cells, yet we know little of how tumor material is disseminated among the large variety of antigen-presenting dendritic cell (DC) subsets in the LN. Here, we demonstrate that tumor proteins are carried to the LN within discrete vesicles inside DCs and are then transferred among DC subsets. A synapse is formed between interacting DCs and vesicle transfer takes place in the absence of free exosomes. DCs -containing vesicles can uniquely activate T cells, whereas DCs lacking them do not. Understanding this restricted sharing of tumor identity provides substantial room for engineering better anti-tumor immunity.

Indexed as

AnimalsAntigen PresentationAntigens, NeoplasmDendritic CellsMaleMelanoma, ExperimentalMiceMice, Inbred C57BLMice, KnockoutMyeloid CellsReceptors, CCR2Receptors, CCR7SynapsesT-LymphocytesAntigens, NeoplasmCcr2 protein, mouseCcr7 protein, mouseReceptors, CCR2Receptors, CCR7antigen presentationantigen traffickingCD8+ T cellsdendritic cellslymph nodeT cell primingtumor immunology

Identifiers

PMID32516589
PMCPMC7671443

What OpenQuestion holds

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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.