Evidence map›Paper›PMID 31746149›Full record

ArticleEMBO molecular medicine2020

Repurposing the yellow fever vaccine for intratumoral immunotherapy.

Maria Angela Aznar, Carmen Molina, Alvaro Teijeira, Inmaculada Rodriguez, Arantza Azpilikueta, Saray Garasa, Alfonso R Sanchez-Paulete, Luna Cordeiro, Iñaki Etxeberria, Maite Alvarez and 4 more

Open access · goldAbstract read
In one paragraph

Article in EMBO molecular medicine, 2020. 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
2.1field-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

25 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Article
  3. Old drugs, new challenges: reassigning drugs for cancer therapies.Cellular & molecular biology letters · 2025
    Review
  4. Article
  5. Drug repurposing for cancer therapy.Signal transduction and targeted therapy · 2024
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Frontiers in cellular and infection microbiology · 2022
    Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Maria Angela AznarCenter for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.ORCID 0000-0002-7970-1672
Carmen MolinaCenter for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Alvaro TeijeiraCenter for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Inmaculada RodriguezCenter for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Arantza AzpilikuetaCenter for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Saray GarasaCenter for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Alfonso R Sanchez-PauleteCenter for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Luna CordeiroCenter for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Iñaki EtxeberriaCenter for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Maite AlvarezCenter for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Sergio Rius-RocabertMicrobiology Section, Dpto. CC, Farmaceuticas y de la Salud, Facultad de Farmacia, Universidad CEU San Pablo, CEU University, Boadilla del Monte, Madrid, Spain.
Estanislao Nistal-VillanMicrobiology Section, Dpto. CC, Farmaceuticas y de la Salud, Facultad de Farmacia, Universidad CEU San Pablo, CEU University, Boadilla del Monte, Madrid, Spain.
Pedro BerraondoCenter for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Ignacio MeleroCenter for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.ORCID 0000-0002-1360-348X
Navarre Institute of Health Research · ESUniversidad de Navarra · ESUniversidad San Pablo CEU · ES

Funding

Cancer Research Institute (CRI)Fundación BBVAFundación Científica Asociación Española Contra el Cáncer (AECC)Spanish Ministry of Economy and Competitiveness MEC SAF2014-52361-RSpanish Ministry of Economy and Competitiveness MEC SAF2017-83267-C2-1-R
6 · The paper itself

Abstract

Live 17D is widely used as a prophylactic vaccine strain for yellow fever virus that induces potent neutralizing humoral and cellular immunity against the wild-type pathogen. 17D replicates and kills mouse and human tumor cell lines but not non-transformed human cells. Intratumoral injections with viable 17D markedly delay transplanted tumor progression in a CD8 T-cell-dependent manner. In mice bearing bilateral tumors in which only one is intratumorally injected, contralateral therapeutic effects are observed consistent with more prominent CD8 T-cell infiltrates and a treatment-related reduction of Tregs. Additive efficacy effects were observed upon co-treatment with intratumoral 17D and systemic anti-CD137 and anti-PD-1 immunostimulatory monoclonal antibodies. Importantly, when mice were preimmunized with 17D, intratumoral 17D treatment achieved better local and distant antitumor immunity. Such beneficial effects of prevaccination are in part explained by the potentiation of CD4 and CD8 T-cell infiltration in the treated tumor. The repurposed use of a GMP-grade vaccine to be given via the intratumoral route in prevaccinated patients constitutes a clinically feasible and safe immunotherapy approach.

Indexed as

ImmunotherapyYellow Fever VaccineAnimalsCD8-Positive T-LymphocytesDrug RepositioningFemaleHumansMiceMice, Inbred C57BLNeoplasmsYellow Fever Vaccine17Dcancer immunotherapyintratumoral administrationvirotherapyyellow fever vaccine

Identifiers

PMID31746149
PMCPMC6949490
OpenAlexW2991001158

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.