Evidence map›Paper›PMID 23516248›Full record

ArticleFrontiers in oncology2013

A model of dendritic cell therapy for melanoma.

Lisette Depillis, Angela Gallegos, Ami Radunskaya

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 73 citations in OpenAlex.

  1. Mathematical Modeling ofBioengineering (Basel, Switzerland) · 2025
    Article
  2. Article
  3. Mathematical Modeling Support for Lung Cancer Therapy-A Short Review.International journal of molecular sciences · 2023
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Computational models of melanoma.Theoretical biology & medical modelling · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Mathematical modeling of tumor-immune cell interactions.Journal of theoretical biology · 2019
    Review
  18. Article
  19. Dendritic Immunotherapy Improvement for an Optimal Control Murine Model.Computational and mathematical methods in medicine · 2017
    Article
  20. Review
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 3 institutions in 1 country.

Lisette DepillisDepartment of Mathematics, Harvey Mudd College Claremont, CA, USA.
Angela Gallegos
Ami Radunskaya
Harvey Mudd College · USLoyola Marymount University · USPomona College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dendritic cells are a promising immunotherapy tool for boosting an individual's antigen-specific immune response to cancer. We develop a mathematical model using differential and delay-differential equations to describe the interactions between dendritic cells, effector-immune cells, and tumor cells. We account for the trafficking of immune cells between lymph, blood, and tumor compartments. Our model reflects experimental results both for dendritic cell trafficking and for immune suppression of tumor growth in mice. In addition, in silico experiments suggest more effective immunotherapy treatment protocols can be achieved by modifying dose location and schedule. A sensitivity analysis of the model reveals which patient-specific parameters have the greatest impact on treatment efficacy.

Indexed as

cancerdendritic cell vaccineimmunotherapymathematical modelmelanoma

Identifiers

PMID23516248
PMCPMC3601335
OpenAlexW2026881092

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.