Evidence map›Paper›PMID 19459853›Full record

ReviewCancer science2009

Cytokine gene-mediated immunotherapy: current status and future perspectives.

Masahisa Jinushi, Hideaki Tahara

Open access · bronzeAbstract readReview
In one paragraph

Review in Cancer science, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 62 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. The colony-stimulating factors and cancer.Cancer immunology research · 2013
    Review
  11. Article
  12. Preparation and characterization of monoclonal antibodies against VSTM1.Monoclonal antibodies in immunodiagnosis and immunotherapy · 2013
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. HSV Recombinant Vectors for Gene Therapy.The open virology journal · 2010
    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

2 authors at 1 institution in 1 country.

Masahisa JinushiDepartment of Surgery and Bioengineering Advanced Clinical Research Center, Institute of Medical Sciences, University of Tokyo, Tokyo, Japan.
Hideaki Tahara
The University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent understanding of the molecular events crucial in overcoming immunosuppressive tumor microenvironments and generating effective antitumor immunity provides us with the wreath opportunity to manipulate genes that have a key role in antitumor immune responses. Granulocyte-macrophage colony stimulating factor (GM-CSF) and interleukin-12 (IL-12) are two indispensable cytokines for activating dendritic cells and boosting the strong immune responses against cancer. In this review, we describe the antitumor mechanisms and clinical application of gene-modified tumor cells and dendritic cells to secrete GM-CSF or IL-12, respectively, in various preclinical and clinical settings. The principles operative in these vaccination strategies may prove applicable to other immunotherapy strategies, especially in combination with other therapeutic modalities, such as chemotherapy and targeted therapy.

Indexed as

ForecastingImmunotherapyCancer VaccinesClinical Trials as TopicDendritic CellsGranulocyte-Macrophage Colony-Stimulating FactorHumansInterleukin-12NeoplasmsCancer VaccinesGranulocyte-Macrophage Colony-Stimulating FactorInterleukin-12

Identifiers

PMID19459853
PMCPMC11159918
OpenAlexW2061821158

What OpenQuestion holds

Textmetadata
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.