Cited by 22Immune cells in cancerTGF-β signaling in diseasesMesenchymal stem cell research

High Levels of BMP2 Promote Liver Cancer Growth via the Activation of Myeloid-Derived Suppressor Cells

Open access
Wu, Gui, Huang, Fei, Chen, Yaoqing, Zhuang, Yuehong, Huang, Yunpeng, Xie, Yun·2020·Frontiers in Oncology

Abstract

Bone morphogenetic protein 2(BMP2) signaling had significant roles in diverse pathological process, such as cancer. Nevertheless, the interaction between BMP2 and carcinoma development remained largely unknown. Particularly, roles of BMP2 playing in the development of liver cancer remained controversial,and mechanisms were unclear. BMP2 with strong osteogenic potential had been manufactured into various bone materials. However, cancer risk concerns raised in recent years. Thus, we focused on analyzing the effects of exogenous BMP2 on the growth of liver cancer and the detailed mechanisms. We found that both intravenous injection of rhBMP2 and in vivo implantation of rhBMP2 materials could lead to the expansion of myeloid-derived suppressor cells (MDSCs) in peripheral blood, and subsequently enhanced the infiltration of MDSCs into tumor in vivo. Furthermore, BMP2 signaling activated MDSCs could secret IL6 to enhance cell proliferation of liver cancer cells in vitro and facilitate liver cancer growth in vivo. Our study indicated that increased concentration of BMP2 within the peripheral blood could enhance liver cancer growth via the activation of MDSCs. In this study, roles of BMP2 playing in liver cancer growth were further confirmed and the detailed mechanisms about how BMP2 enhanced the liver cancer growth were also elucidated.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fonc.2020.00194

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wu, G., Huang, F., Chen, Y., Zhuang, Y., Huang, Y., & Xie, Y.
Affiliations
  • Fujian Medical University (CN)
  • First Affiliated Hospital of Fujian Medical University (CN)
Corresponding author
  • Wu, Gui
  • Xie, Yun
Venue
Frontiers in Oncology
Published
2020-03-04
Volume
10
Pages
194-194
ISSN
2234-943X (ISSN-L)
OpenAlex
W3009852575
Cited by
22
References
48
Citations by year
2025: 5 · 2024: 3 · 2023: 2 · 2022: 9 · 2021: 2 · 2020: 1
FWCI
1.23
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Oncology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Life Sciences › Immunology and Microbiology › Immunology › Immune cells in cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › TGF-β signaling in diseases
  • Health Sciences › Medicine › Genetics › Mesenchymal stem cell research
Keywords
BMP-2, liver cancer, hepatocellular carcinoma, myeloid-derived suppressor cells, tumor growth, interleukin-6, tumor cell proliferation, tumor microenvironment

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review