Evidence map›Paper›PMID 27467922›Full record

ArticleOncoimmunology2016

Combined inhibition of TGFβ and PDGF signaling attenuates radiation-induced pulmonary fibrosis.

Monika Dadrich, Nils H Nicolay, Paul Flechsig, Sebastian Bickelhaupt, Line Hoeltgen, Falk Roeder, Kai Hauser, Alexandra Tietz, Jürgen Jenne, Ramon Lopez and 4 more

Open access · goldAbstract read
In one paragraph

Article in Oncoimmunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

61 citing papers in PubMed, 87 citations in OpenAlex.

  1. Review
  2. Review
  3. Radiomitigators: Breakthroughs in Post-Radiation Recovery.Antioxidants (Basel, Switzerland) · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Roles of PDGF/PDGFR signaling in various organs.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2025
    Review
  11. Review
  12. Review
  13. Article
  14. Article
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  16. Logic-based mechanistic machine learning on high-content images reveals how drugs differentially regulate cardiac fibroblasts.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. Article

1 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

14 authors at 4 institutions in 2 countries.

Monika DadrichDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF, Heidelberg, Germany; Department of Radiology, University Hospital Center, 400 INF, Heidelberg, Germany.
Nils H NicolayDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF, Heidelberg, Germany; Department of Radiation Oncology, University Hospital Center, 400 INF, Heidelberg, Germany.
Paul FlechsigDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF, Heidelberg, Germany; Department of Radiology, University Hospital Center, 400 INF, Heidelberg, Germany.
Sebastian BickelhauptDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF , Heidelberg, Germany.
Line HoeltgenDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF , Heidelberg, Germany.
Falk RoederDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF, Heidelberg, Germany; Department of Radiation Oncology, University Hospital Center, 400 INF, Heidelberg, Germany; Department of Radiation Oncology, Ludwig-Maximilians University Munich, Munich, Germany.
Kai HauserDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF , Heidelberg, Germany.
Alexandra TietzDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF , Heidelberg, Germany.
Jürgen JenneDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF , Heidelberg, Germany.
Ramon LopezDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF , Heidelberg, Germany.
Manuel RoehrichDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF , Heidelberg, Germany.
Ute WirknerDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF , Heidelberg, Germany.
Michael LahnOncology Early Clinical Investigation, Lilly Research Laboratories, Indianapolis , IN, USA.
Peter E HuberDepartment of Molecular & Radiation Oncology, German Cancer Research Center (DKFZ), 280 INF, Heidelberg, Germany; Department of Radiation Oncology, University Hospital Center, 400 INF, Heidelberg, Germany.
German Cancer Research Center · DEHeidelberg University · DEUniversity Hospital Heidelberg · DEEli Lilly (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background : Radiotherapy (RT) is a mainstay for the treatment of lung cancer, but the effective dose is often limited by the development of radiation-induced pneumonitis and pulmonary fibrosis. Transforming growth factor β (TGFβ) and platelet-derived growth factor (PDGF) play crucial roles in the development of these diseases, but the effects of dual growth factor inhibition on pulmonary fibrosis development remain unclear. Methods : C57BL/6 mice were treated with 20 Gy to the thorax to induce pulmonary fibrosis. PDGF receptor inhibitors SU9518 and SU14816 (imatinib) and TGFβ receptor inhibitor galunisertib were applied individually or in combinations after RT. Lung density and septal fibrosis were measured by high-resolution CT and MRI. Lung histology and gene expression analyses were performed and Osteopontin levels were studied. Results : Treatment with SU9518, SU14816 or galunisertib individually attenuated radiation-induced pulmonary inflammation and fibrosis and decreased radiological and histological signs of lung damage. Combining PDGF and TGFβ inhibitors showed to be feasible and safe in a mouse model, and dual inhibition significantly attenuated radiation-induced lung damage and extended mouse survival compared to blockage of either pathway alone. Gene expression analysis of irradiated lung tissue showed upregulation of PDGF and TGFβ-dependent signaling components by thoracic irradiation, and upregulation patterns show crosstalk between downstream mediators of the PDGF and TGFβ pathways. Conclusion : Combined small-molecule inhibition of PDGF and TGFβ signaling is a safe and effective treatment for radiation-induced pulmonary inflammation and fibrosis in mice and may offer a novel approach for treatment of fibrotic lung diseases in humans. Translational statement : RT is an effective treatment modality for cancer with limitations due to acute and chronic toxicities, where TGFβ and PDGF play a key role. Here, we show that a combined inhibition of TGFβ and PDGF signaling is more effective in attenuating radiation-induced lung damage compared to blocking either pathway alone. We used the TGFβ-receptor I inhibitor galunisertib, an effective anticancer compound in preclinical models and the PDGFR inhibitors imatinib and SU9518, a sunitinib analog. Our signaling data suggest that the reduction of TGFβ and PDGF signaling and the attenuation of SPP1 (Osteopontin) expression may be responsible for the observed benefits. With the clinical availability of similar compounds currently in phase-I/II trials as cancer therapeutics or already approved for certain cancers or idiopathic lung fibrosis (IPF), our study suggests that the combined application of small molecule inhibitors of TGFβ and PDGF signaling may offer a promising approach to treat radiation-associated toxicity in RT of lung cancer.

Indexed as

Lung fibrosisPDGFradiotherapysmall molecule inhibitorsTGFβ

Identifiers

PMID27467922
PMCPMC4910723
OpenAlexW2310088448

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.