Evidence map›Paper›PMID 24480625›Full record

ArticleCancer research2014

Identification of immune factors regulating antitumor immunity using polymeric vaccines with multiple adjuvants.

Omar A Ali, Catia Verbeke, Chris Johnson, R Warren Sands, Sarah A Lewin, Des White, Edward Doherty, Glenn Dranoff, David J Mooney

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

50 citing papers in PubMed, 98 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Biomaterials Facilitating Dendritic Cell-Mediated Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  5. Article
  6. Review
  7. Review
  8. Dendritic cells in cancer immunology.Cellular & molecular immunology · 2022
    Review
  9. Review
  10. Nanotechnology synergized immunoengineering for cancer.European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V · 2021
    Review
  11. Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Delivery technologies for cancer immunotherapy.Nature reviews. Drug discovery · 2019
    Review
  20. Cancer Immunotherapy: Beyond Checkpoint Blockade.Annual review of cancer biology · 2019
    Article
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

9 authors at 3 institutions in 1 country.

Omar A AliAuthors' Affiliations: Wyss Institute for Biologically Inspired Engineering, Harvard University; Department of Medical Oncology and Cancer Vaccine Center, Dana-Farber Cancer Institute; Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston; and Harvard School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
Catia Verbeke
Chris Johnson
R Warren Sands
Sarah A Lewin
Des White
Edward Doherty
Glenn Dranoff
David J Mooney
Brigham and Women's Hospital · USDana-Farber Cancer Institute · USHarvard University · US

Funding

Biomaterial based breast cancer vaccineR01EB015498 · NIBIB · HARVARD MEDICAL SCHOOL · PI MOONEY, DAVID J · 2013 to 2016
$1.5M
NIBIB NIH HHS R01 EB015498
6 · The paper itself

Abstract

The innate cellular and molecular components required to mediate effective vaccination against weak tumor-associated antigens remain unclear. In this study, we used polymeric cancer vaccines incorporating different classes of adjuvants to induce tumor protection, to identify dendritic cell (DC) subsets and cytokines critical to this efficacy. Three-dimensional, porous polymer matrices loaded with tumor lysates and presenting distinct combinations of granulocyte macrophage colony-stimulating factor (GM-CSF) and various Toll-like receptor (TLR) agonists affected 70% to 90% prophylactic tumor protection in B16-F10 melanoma models. In aggressive, therapeutic B16 models, the vaccine systems incorporating GM-CSF in combination with P(I:C) or CpG-ODN induced the complete regression of solid tumors (≤40 mm(2)), resulting in 33% long-term survival. Regression analysis revealed that the numbers of vaccine-resident CD8(+) DCs, plasmacytoid DCs (pDC), along with local interleukin (IL)-12, and granulocyte colony-stimulating factor (G-CSF) concentrations correlated strongly to vaccine efficacy regardless of adjuvant type. Furthermore, vaccine studies in Batf3(-/-) mice revealed that CD8(+) DCs are required to affect tumor protection, as vaccines in these mice were deficient in cytotoxic T lymphocytes priming and IL-12 induction in comparison with wild-type. These studies broadly demonstrate that three-dimensional polymeric vaccines provide a potent platform for prophylactic and therapeutic protection, and can be used as a tool to identify critical components of a desired immune response. Specifically, these results suggest that CD8(+) DCs, pDCs, IL-12, and G-CSF play important roles in priming effective antitumor responses with these vaccines.

Indexed as

Adjuvants, ImmunologicAnimalsCancer VaccinesCell Line, TumorDelayed-Action PreparationsDendritic CellsDrug CarriersFemaleGranulocyte-Macrophage Colony-Stimulating FactorInterleukin-12Lipid AMelanoma, ExperimentalMiceMice, 129 StrainMice, Inbred C57BLMice, KnockoutAdjuvants, ImmunologicCancer VaccinesCPG-oligonucleotideDelayed-Action PreparationsDrug CarriersGranulocyte-Macrophage Colony-Stimulating FactorInterleukin-12Lipid Amonophosphoryl lipid AOligodeoxyribonucleotidesPolyglactin 910Poly I-CToll-Like Receptors

Identifiers

PMID24480625
PMCPMC3959905
OpenAlexW2158920853

What OpenQuestion holds

Textmetadata
LicenceTDM
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.