Evidence map›Paper›PMID 18559619›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2008

Transforming growth factor-beta receptor blockade augments the effectiveness of adoptive T-cell therapy of established solid cancers.

Africa Wallace, Veena Kapoor, Jing Sun, Paul Mrass, Wolfgang Weninger, Daniel F Heitjan, Carl June, Larry R Kaiser, Leona E Ling, Steven M Albelda

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. TGFβ biology in cancer progression and immunotherapy.Nature reviews. Clinical oncology · 2021
    Review
  11. Review
  12. Immune cell engineering: opportunities in lung cancer therapeutics.Drug delivery and translational research · 2020
    Review
  13. Review
  14. Review
  15. Article
  16. Delivery technologies for cancer immunotherapy.Nature reviews. Drug discovery · 2019
    Review
  17. Current Progress in CAR-T Cell Therapy for Solid Tumors.International journal of biological sciences · 2019
    Review
  18. Article
  19. Naive CD4Journal of immunology (Baltimore, Md. : 1950) · 2018
    Article
  20. CAR T Cell Therapy for Neuroblastoma.Frontiers in immunology · 2018
    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

10 authors at 3 institutions in 1 country.

Africa WallaceThoracic Oncology Research Laboratory, University of Pennsylvania, Pennsylvania, USA.
Veena Kapoor
Jing Sun
Paul Mrass
Wolfgang Weninger
Daniel F Heitjan
Carl June
Larry R Kaiser
Leona E Ling
Steven M Albelda
The Wistar Institute · USBiogen (United States) · USUniversity of Pennsylvania · US

Funding

VECTOR DEVELOPMENT /PRECLINICAL TESTINGP01CA066726 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ALBELDA, STEVEN MARK · 1995 to 2016
$18.2M
IMMUNOBIOLOGY OF NORMAL AND NEOPLASTIC LYMPHOCYTEST32CA009140 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Malay Haldar, WARREN S PEAR · 1985 to 2026
$16.1M
NCI NIH HHS P01 CA066726NCI NIH HHS P01 CA 66726NCI NIH HHS T32 CA009140NCI NIH HHS T32 CA 09140
6 · The paper itself

Abstract

purposeAdoptive cellular immunotherapy is a promising approach to eradicate established tumors. However, a significant hurdle in the success of cellular immunotherapy involves recently identified mechanisms of immune suppression on cytotoxic T cells at the effector phase. Transforming growth factor-beta (TGF-beta) is one of the most important of these immunosuppressive factors because it affects both T-cell and macrophage functions. We thus hypothesized that systemic blockade of TGF-beta signaling combined with adoptive T-cell transfer would enhance the effectiveness of the therapy. EXPERIMENTAL

designFlank tumors were generated in mice using the chicken ovalbumin-expressing thymoma cell line, EG7. Splenocytes from transgenic OT-1 mice (whose CD8 T cells recognize an immunodominant peptide in chicken ovalbumin) were activated in vitro and adoptively transferred into mice bearing large tumors in the presence or absence of an orally available TGF-beta receptor-I kinase blocker (SM16).

resultsWe observed markedly smaller tumors in the group receiving the combination of SM16 chow and adoptive transfer. Additional investigation revealed that TGF-beta receptor blockade increased the persistence of adoptively transferred T cells in the spleen and lymph nodes, increased numbers of adoptively transferred T cells within tumors, increased activation of these infiltrating T cells, and altered the tumor microenvironment with a significant increase in tumor necrosis factor-alpha and decrease in arginase mRNA expression.

conclusionsWe found that systemic blockade of TGF-beta receptor activity augmented the antitumor activity of adoptively transferred T cells and may thus be a useful adjunct in future clinical trials.

Indexed as

Immunotherapy, AdoptiveAnimalsAzabicyclo CompoundsCD8-Positive T-LymphocytesCombined Modality TherapyDrug Evaluation, PreclinicalFemaleMiceMice, Inbred C57BLMice, TransgenicNeoplasmsNeoplasm TransplantationReceptors, Transforming Growth Factor betaTreatment OutcomeTumor BurdenTumor Cells, CulturedAzabicyclo CompoundsReceptors, Transforming Growth Factor betaSM16 compound

Identifiers

PMID18559619
PMCPMC2491721
OpenAlexW1992909341

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.