Evidence map›Paper›PMID 31582516›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2020

The Outcome of TGFβ Antagonism in Metastatic Breast Cancer Models

Yuan Yang, Howard H Yang, Binwu Tang, Alex Man Lai Wu, Kathleen C Flanders, Nellie Moshkovich, Douglas S Weinberg, Michael A Welsh, Jia Weng, Humberto J Ochoa and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

25 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Trial
  3. The immunology of human breast cancer.Nature reviews. Immunology · 2026
    Review
  4. Key regulatory elements of the TGFβ-LRRC15 axis predict disease progression and immunotherapy resistance across cancer types.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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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

19 authors at 3 institutions in 1 country.

Yuan YangLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Howard H YangLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Binwu TangLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Alex Man Lai WuLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Kathleen C FlandersLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Nellie MoshkovichLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Douglas S WeinbergLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Michael A WelshLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0001-8268-6285
Jia WengLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Humberto J OchoaLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Tiffany Y HuCollaborative Protein Technology Resource, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Michelle A HerrmannCollaborative Protein Technology Resource, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Jinqiu ChenCollaborative Protein Technology Resource, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Elijah F EdmondsonPathology Histotechnology Laboratory, Frederick National Laboratory for Cancer Research, Frederick, Maryland.ORCID 0000-0002-6106-3705
R Mark SimpsonLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Fang LiuCenter for Advanced Biotechnology and Medicine, Susan Lehman Cullman Laboratory for Cancer Research, Department of Chemical Biology, Ernest Mario School of Pharmacy, Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, Piscataway, New Jersey.
Huaitian LiuLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Maxwell P LeeLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.
Lalage M WakefieldLab of Cancer Biology and Genetics, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland. wakefiel@dce41.nci.nih.gov.ORCID 0000-0003-4124-5250
National Cancer Institute · USFrederick National Laboratory for Cancer Research · USRutgers, The State University of New Jersey · US

Funding

Molecular Pathology Research for Cancer Diagnostics and BiomarkersZICBC010953 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI SIMPSON, ROBERT · 2009 to 2025
$22.9M
Spatial Imaging Technology ResourceZICBC011434 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MALIK, MARIAM · 2012 to 2025
$12.8M
Development of TGF-beta antagonists for cancer therapyZIABC010881 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WAKEFIELD, LALAGE · 2009 to 2025
$12.5M
Integrated analyses of genetics, epigenetics, and gene expressionZIHBC011703 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI LEE, MAXWELL · 2016 to 2025
$10.9M
Intramural NIH HHS ZIA BC010881
6 · The paper itself

Abstract

purposeTGFβs are overexpressed in many advanced cancers and promote cancer progression through mechanisms that include suppression of immunosurveillance. Multiple strategies to antagonize the TGFβ pathway are in early-phase oncology trials. However, TGFβs also have tumor-suppressive activities early in tumorigenesis, and the extent to which these might be retained in advanced disease has not been fully explored. EXPERIMENTAL

designA panel of 12 immunocompetent mouse allograft models of metastatic breast cancer was tested for the effect of neutralizing anti-TGFβ antibodies on lung metastatic burden. Extensive correlative biology analyses were performed to assess potential predictive biomarkers and probe underlying mechanisms.

resultsHeterogeneous responses to anti-TGFβ treatment were observed, with 5 of 12 models (42%) showing suppression of metastasis, 4 of 12 (33%) showing no response, and 3 of 12 (25%) showing an undesirable stimulation (up to 9-fold) of metastasis. Inhibition of metastasis was immune-dependent, whereas stimulation of metastasis was immune-independent and targeted the tumor cell compartment, potentially affecting the cancer stem cell. Thus, the integrated outcome of TGFβ antagonism depends on a complex balance between enhancing effective antitumor immunity and disrupting persistent tumor-suppressive effects of TGFβ on the tumor cell. Applying transcriptomic signatures derived from treatment-naïve mouse primary tumors to human breast cancer datasets suggested that patients with breast cancer with high-grade, estrogen receptor-negative disease are most likely to benefit from anti-TGFβ therapy.

conclusionsContrary to dogma, tumor-suppressive responses to TGFβ are retained in some advanced metastatic tumors. Safe deployment of TGFβ antagonists in the clinic will require good predictive biomarkers.

Indexed as

Gene Expression Regulation, NeoplasticGenes, Tumor SuppressorAnimalsAntineoplastic Agents, ImmunologicalBreast NeoplasmsCell Line, TumorDisease Models, AnimalFemaleHumansLung NeoplasmsMiceMice, Inbred BALB CMice, Inbred C57BLNeoplastic Stem CellsSignal TransductionTransforming Growth Factor betaAntineoplastic Agents, ImmunologicalTransforming Growth Factor beta

Identifiers

PMID31582516
PMCPMC8182485
OpenAlexW2977670851

What OpenQuestion holds

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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.