Evidence map›Paper›PMID 30959852›Full record

ArticleCells2019

Combined Inhibition of TGF-β Signaling and the PD-L1 Immune Checkpoint Is Differentially Effective in Tumor Models.

Heng Sheng Sow, Jiang Ren, Marcel Camps, Ferry Ossendorp, Peter Ten Dijke

Open access · goldAbstract read
In one paragraph

Article in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 2% 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it, 110 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Dynamics of inflammatory signals within the tumor microenvironment.World journal of experimental medicine · 2025
    Review
  13. Review
  14. Targeting TGF-β: a promising strategy for cancer therapy.Medical oncology (Northwood, London, England) · 2025
    Review
  15. Review
  16. Article
  17. Tumor-intrinsic CDC42BPB confers resistance to anti-PD-1 immune checkpoint blockade in breast cancer.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Article
  18. Review
  19. Article
  20. Clinical immunotherapy in pancreatic cancer.Cancer immunology, immunotherapy : CII · 2024
    Review

2 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Heng Sheng SowDepartment of Cell and Chemical Biology, Oncode Institute, Leiden University Medical Center, 2300 RC Leiden, The Netherlands. h.s.sow@lumc.nl.
Jiang RenDepartment of Cell and Chemical Biology, Oncode Institute, Leiden University Medical Center, 2300 RC Leiden, The Netherlands. j.ren@lumc.nl.
Marcel CampsDepartment of Immunohematology and Blood Transfusion, Leiden University Medical Center, 2300 RC Leiden, The Netherlands. m.g.m.camps@lumc.nl.
Ferry OssendorpDepartment of Immunohematology and Blood Transfusion, Leiden University Medical Center, 2300 RC Leiden, The Netherlands. f.a.ossendorp@lumc.nl.
Peter Ten DijkeDepartment of Cell and Chemical Biology, Oncode Institute, Leiden University Medical Center, 2300 RC Leiden, The Netherlands. p.ten_dijke@lumc.nl.
Leiden University Medical Center · NLOncode Institute · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies blocking the programmed death-ligand 1 (PD-L1) have shown impressive and durable responses in clinical studies. However, this type of immunotherapy is only effective in a subset of patients and not sufficient for rejection of all tumor types. In this study, we explored in two mouse tumor models whether the antitumor effect could be enhanced by the combined blockade of PD-L1 and transforming growth factor-β (TGF-β), a potent immunosuppressive cytokine. The effect of anti-PD-L1 mouse monoclonal (mAb) and a TGF-β type I receptor small molecule kinase inhibitor (LY364947) was evaluated in the highly immunogenic mouse MC38 colon adenocarcinoma and the poorly immunogenic mouse KPC1 pancreatic tumor model. In the MC38 tumor model, LY364947 monotherapy did not show any antitumor effect, whereas treatment with anti-PD-L1 mAb significantly delayed tumor outgrowth. However, combination therapy showed the strongest therapeutic efficacy, resulting in improved long-term survival compared with anti-PD-L1 mAb monotherapy. This improved survival was associated with an increased influx of CD8⁺ T cells in the tumor microenvironment. In the KPC1 tumor model, LY364947 did not enhance the antitumor effect of anti-PD-L1 mAb. Despite this, delayed KPC1 tumor outgrowth was observed in the LY364947-treated group and this treatment led to a significant reduction of CD4⁺ T cells in the tumor microenvironment. Together, our data indicate that an additive anti-tumor response of dual targeting PD-L1 and TGF-β is dependent on the tumor model used, highlighting the importance of selecting appropriate cancer types, using in-depth analysis of the tumor microenvironment, which can benefit from combinatorial immunotherapy regimens.

Indexed as

ImmunotherapySignal TransductionAnimalsAntibodies, MonoclonalCell Line, TumorCell ProliferationDisease Models, AnimalFemaleMiceMice, Inbred C57BLNeoplasmsProgrammed Cell Death 1 ReceptorTransforming Growth Factor betaTumor MicroenvironmentAntibodies, MonoclonalProgrammed Cell Death 1 ReceptorTransforming Growth Factor betaanti-PD-L1 mAb 1LY364947 2mouse syngeneic tumor models 3

Identifiers

PMID30959852
PMCPMC6523576
OpenAlexW2931391344

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.