Evidence map›Paper›PMID 32194752›Full record

ArticleOncology letters2020

Inhibiting the Src/STAT3 signaling pathway contributes to the anti-melanoma mechanisms of dioscin.

Yu-Xi Liu, Bo-Wen Xu, Ying-Jie Chen, Xiu-Qiong Fu, Pei-Li Zhu, Jing-Xuan Bai, Ji-Yao Chou, Cheng-Le Yin, Jun-Kui Li, Ya-Ping Wang and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

15 authors at 1 institution in 1 country.

Yu-Xi LiuSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Bo-Wen XuSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Ying-Jie ChenSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Xiu-Qiong FuSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Pei-Li ZhuSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Jing-Xuan BaiSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Ji-Yao ChouSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Cheng-Le YinSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Jun-Kui LiSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Ya-Ping WangSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Jia-Ying WuSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Ying WuSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Kam-Kwan ChanSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Chun LiangEnzynomics Limited, Guangzhou, Guangdong 510000, P.R. China.
Zhi-Ling YuSchool of Chinese Medicine, Centre for Cancer and Inflammation Research, Hong Kong Baptist University, Kowloon 999077, Hong Kong, SAR, P.R. China.
Hong Kong Baptist University · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Late stage melanoma is associated with a high mortality rate. Signal transducer and activator of transcription 3 (STAT3) is currently a target for melanoma treatment as it is constitutively activated with high frequency in melanoma. Dioscin is a natural steroid saponin that is present in several medical herbs. A previous study demonstrated that dioscin inhibits STAT3 signaling in a cerebral ischemia-reperfusion injury rat model. Furthermore, dioscin has been reported to exert anti-melanoma effects in B16 melanoma cells and a B16 allograft mouse model. The present study investigated whether inhibition of STAT3 signaling is involved in the anti-melanoma effects of dioscin. The results of the present study demonstrated that dioscin significantly decreased viability, induced apoptosis and suppressed migration of human A375 melanoma cells and murine B16F10 melanoma cells. Furthermore, dioscin inhibited the phosphorylation of STAT3 and Src (an upstream kinase of STAT3), and downregulated mRNA levels of STAT3-targeted genes, including B-cell lymphoma-2, cyclin D1 and matrix metalloproteinase-2. In addition, overexpression of STAT3 decreased the anti-proliferative effects of dioscin. Overall, the results of the present study indicate that inhibiting the Src/STAT3 signaling pathway contributes to the anti-melanoma molecular mechanisms of dioscin. These results provide further pharmacological groundwork for developing dioscin as a novel anti-melanoma agent.

Indexed as

dioscinmechanismmelanomasrcSTAT3

Identifiers

PMID32194752
PMCPMC7039043
OpenAlexW3000491281

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.