Evidence map›Paper›PMID 33116635›Full record

ArticleOncoTargets and therapy2020

Bone Marrow-Derived Myofibroblasts Promote Gastric Cancer Metastasis by Activating TGF-β1 and IL-6/STAT3 Signalling Loop.

Jianzheng Wang, Qingli Li, Xiaojiao Cheng, Baiwen Zhang, Jiacheng Lin, Yao Tang, Fuli Li, Chung S Yang, Timothy C Wang, Shuiping Tu

Open access · goldAbstract read
In one paragraph

Article in OncoTargets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

8 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Review
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  7. Article
  8. Frontiers in pharmacology · 2021
    Article
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 2 countries.

Jianzheng Wang *Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, People's Republic of China.ORCID 0000-0002-2292-3629
Qingli Li *Department of Oncology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, People's Republic of China.
Xiaojiao ChengDepartment of Oncology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, People's Republic of China.
Baiwen ZhangDepartment of Oncology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, People's Republic of China.
Jiacheng LinDepartment of Oncology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, People's Republic of China.
Yao TangDepartment of Oncology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, People's Republic of China.
Fuli LiDepartment of Oncology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, People's Republic of China.
Chung S YangDepartment of Chemical Biology, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA.
Timothy C WangDepartment of Medicine, College of Physicians & Surgeons, Columbia University, New York, NY 10032, USA.ORCID 0000-0001-5730-3019
Shuiping TuDepartment of Oncology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200127, People's Republic of China.
Renji Hospital · CNColumbia University · USRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMurine bone marrow-derived myofibroblasts (BMFs) have previously been shown to promote gastric cancer growth. However, whether BMFs promote gastric cancer cell metastasis remains largely unknown.

methodsWound healing assay, Transwell invasion and migration assay and 3D organotypic co-culture systems were conducted to study the effects of BMFs on invasion and migration of gastric cancer cells and the invasion and migration ability of gastric cancer stem cell-like cells (CSC-LCs) induced by BMFs. We employed two animal model to study the role of BMFs on the in vivo metastasis of gastric cancer cells and the metastatic ability of gastric BMF-induced CSC-LCs. A human gastric cancer tissue microarray and TCGA gastric cancer database were analysed to study the relationship between the expression of IL-6 and TGF-β1 and clinicopathological characteristics and survival in gastric cancer.

resultsWe found that BMFs promoted the in vitro migration and invasion of gastric cancer cells. BMFs promoted liver, lung, subcutaneous, and splenic metastases of MKN28 cells in the spleen injection liver metastasis model and co-injection of caudal vein (IOCV) mouse model. BMFs reprogrammed non-gastric cancer stem cell (CSC) to CSC-LCs and enhanced CSC-LC migration and metastasis. BMF-derived IL-6 and gastric cancer cell-secreted TGF-β1 mediated the interaction between BMFs and gastric cancer cells, promoting tumour metastasis. BMFs enhanced the expressions of STAT3 and p-STAT3 in co-cultured gastric cancer cells. A combination of Napabucasin and Galunisertib exhibited the strongest inhibition of cell migration compared to when administered alone. Gastric cancer tissue array and TCGA database indicated that the overexpression of IL-6 and TGF-β1 was associated with gastric cancer metastasis.

conclusionOur results demonstrated that BMFs promote gastric cancer metastasis through the activation of the TGF-β1 and IL-6/STAT3 signalling pathways. Targeting the inhibition of these interactions may be a potent therapeutic strategy for addressing gastric cancer metastasis.

Indexed as

bone marrow-derived myofibroblastsgastric cancerIL-6metastasisTGF-β1

Identifiers

PMID33116635
PMCPMC7585554
OpenAlexW3093781023

What OpenQuestion holds

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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.