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Modulation the crosstalk between tumor-associated macrophages and non-small cell lung cancer to inhibit tumor migration and invasion by ginsenoside Rh2

Overview of attention for article published in BMC Cancer, May 2018
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Title
Modulation the crosstalk between tumor-associated macrophages and non-small cell lung cancer to inhibit tumor migration and invasion by ginsenoside Rh2
Published in
BMC Cancer, May 2018
DOI 10.1186/s12885-018-4299-4
Pubmed ID
Authors

Honglin Li, Nan Huang, Weikang Zhu, Jianchun Wu, Xiaohui Yang, Wenjing Teng, Jianhui Tian, Zhihong Fang, Yingbin Luo, Min Chen, Yan Li

Abstract

Tumor-associated macrophages (TAMs) play a critical role in modulating the tumor microenvironment and promote tumor metastases. Our studies have demonstrated that ginsenoside Rh2 (G-Rh2), a monomeric compound extracted from ginseng, is a promising anti-tumor agent in lung cancer cells. However, it remains unclear whetherG-Rh2 can modulate the differentiation of TAMs and its interaction with tumor microenvironment. In this study, we investigated how G-Rh2 regulates the phenotype of macrophages and affects the migration of non-small cell lung cancer (NSCLC) cells. Murine macrophage-like RAW264.7 cells and human THP-1 monocyte were differentiated into M1 and M2 subsets of macrophages with different cytokines combination, which were further identified by flow cytometry with specific biomarkers. M2 macrophages were sorted out to co-culture with NSCLC cell lines, A549 and H1299. Wound healing assay was performed to examine the cell migration. Expression levels of matrix metalloproteinases 2 and 9 (MMP-2, - 9) and vascular endothelial growth factor-C (VEGF-C) were measured by RT-qPCR and western blot, and the release of VEGF in the supernatant was measured by a VEGF ELISA kit. Finally, modulation of TAMs phenotype and VEGF expression by G-Rh2 was examined in vivo. We demonstrated that M2 subset of macrophages alternatively differentiated from RAW264.7 or THP-1cells promote migration of NSCLC cells. Further examinations revealed that NSCLC significantly increased the release of VEGF to the media and elevated the expression levels of VEGF at mRNA and protein levels after being co-cultured with M2 macrophages. Similar alterations in MMP-2 and MMP-9 were observed in NSCLC after being co-cultured. Of note,G-Rh2 had a potential to effectively convert M2 phenotype to M1 subset of macrophages. Importantly, G-Rh2 had a preference to decrease the expression levels of VEGF, MMP2, and MMP9 in co-cultured lung cancer cells, over than those in lung cancer cells without co-culturing. Consistently, G-Rh2 reduced M2 macrophage marker CD206 and VEGF expression levels in vivo. All of these results suggested that M2 subset macrophages drive lung cancer cells with more aggressive phenotypes. G-Rh2 has a potential to convert TAMs from M2 subset to M1 in the microenvironment and prevents lung cancer cell migration, suggesting the therapeutic effects of G-Rh2onlung cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 15%
Student > Ph. D. Student 9 11%
Student > Bachelor 7 9%
Student > Master 7 9%
Student > Doctoral Student 4 5%
Other 11 14%
Unknown 29 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 20%
Medicine and Dentistry 8 10%
Immunology and Microbiology 5 6%
Agricultural and Biological Sciences 4 5%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 7 9%
Unknown 36 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 May 2018.
All research outputs
#20,502,032
of 23,067,276 outputs
Outputs from BMC Cancer
#6,543
of 8,375 outputs
Outputs of similar age
#289,731
of 330,076 outputs
Outputs of similar age from BMC Cancer
#150
of 185 outputs
Altmetric has tracked 23,067,276 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,375 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 330,076 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.