Evidence map›Paper›PMID 31024545›Full record

ReviewFrontiers in immunology2019

Harnessing Dendritic Cells for Poly (D,L-lactide-

Julia Koerner, Dennis Horvath, Marcus Groettrup

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

39 citing papers in PubMed, 63 citations in OpenAlex.

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  8. Machine Learning for Predicting Drug Release Behavior of PLGA Microspheres.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024
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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

3 authors at 2 institutions in 2 countries.

Julia KoernerDivision of Immunology, Department of Biology, University of Konstanz, Konstanz, Germany.
Dennis HorvathDivision of Immunology, Department of Biology, University of Konstanz, Konstanz, Germany.
Marcus GroettrupDivision of Immunology, Department of Biology, University of Konstanz, Konstanz, Germany.
University of Konstanz · DEBiotechnology Institute Thurgau · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With emerging success in fighting off cancer, chronic infections, and autoimmune diseases, immunotherapy has become a promising therapeutic approach compared to conventional therapies such as surgery, chemotherapy, radiation therapy, or immunosuppressive medication. Despite the advancement of monoclonal antibody therapy against immune checkpoints, the development of safe and efficient cancer vaccine formulations still remains a pressing medical need. Anti-tumor immunotherapy requires the induction of antigen-specific CD8+ cytotoxic T lymphocyte (CTL) responses which recognize and specifically destroy tumor cells. Due to the crucial role of dendritic cells (DCs) in initiating anti-tumor immunity, targeting tumor antigens to DCs has become auspicious in modern vaccine research. Over the last two decades, micron- or nanometer-sized particulate delivery systems encapsulating tumor antigens and immunostimulatory molecules into biodegradable polymers have shown great promise for the induction of potent, specific and long-lasting anti-tumor responses

Indexed as

AnimalsAntigen PresentationCancer VaccinesDendritic CellsHumansImmunity, CellularImmunotherapy, AdoptiveMicrospheresNeoplasmsPolylactic Acid-Polyglycolic Acid CopolymerCancer VaccinesPolylactic Acid-Polyglycolic Acid Copolymeranti-tumor responsecancer vaccineCTLdendritic cellimmunotherapymicrospheresPLGAspray drying

Identifiers

PMID31024545
PMCPMC6460768
OpenAlexW2924473419

What OpenQuestion 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 OpenQuestion graph.