Evidence map›Paper›PMID 38866899›Full record

ArticleScientific reports2024

KPC-luciferase-expressing cells elicit an anti-tumor immune response in a mouse model of pancreatic cancer.

Daniele Pereira Ferrari, Fernanda Ramos-Gomes, Frauke Alves, M Andrea Markus

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  6. Optical and Photoacoustic Imaging.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
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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

4 authors.

Daniele Pereira FerrariTranslational Molecular Imaging, Max-Planck-Institute for Multidisciplinary Sciences, Hermann Rein‑Straße 3, 37075, Göttingen, Germany.
Fernanda Ramos-GomesTranslational Molecular Imaging, Max-Planck-Institute for Multidisciplinary Sciences, Hermann Rein‑Straße 3, 37075, Göttingen, Germany.
Frauke AlvesTranslational Molecular Imaging, Max-Planck-Institute for Multidisciplinary Sciences, Hermann Rein‑Straße 3, 37075, Göttingen, Germany.
M Andrea MarkusTranslational Molecular Imaging, Max-Planck-Institute for Multidisciplinary Sciences, Hermann Rein‑Straße 3, 37075, Göttingen, Germany. markus@mpinat.mpg.de.

Funding

H2020 Marie Skłodowska-Curie Actions 861190
6 · The paper itself

Abstract

Mouse models for the study of pancreatic ductal adenocarcinoma (PDAC) are well-established and representative of many key features observed in human PDAC. To monitor tumor growth, cancer cells that are implanted in mice are often transfected with reporter genes, such as firefly luciferase (Luc), enabling in vivo optical imaging over time. Since Luc can induce an immune response, we aimed to evaluate whether the expression of Luc could affect the growth of KPC tumors in mice by inducing immunogenicity. Although both cell lines, KPC and Luc transduced KPC (KPC-Luc), had the same proliferation rate, KPC-Luc tumors had significantly smaller sizes or were absent 13 days after orthotopic cell implantation, compared to KPC tumors. This coincided with the loss of bioluminescence signal over the tumor region. Immunophenotyping of blood and spleen from KPC-Luc tumor-bearing mice showed a decreased number of macrophages and CD4

Indexed as

Carcinoma, Pancreatic DuctalDisease Models, AnimalPancreatic NeoplasmsAnimalsCD8-Positive T-LymphocytesCell Line, TumorHumansKiller Cells, NaturalLuciferasesLuciferases, FireflyMiceLuciferasesLuciferases, Firefly

Identifiers

PMID38866899
PMCPMC11169258

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.