Evidence map›Paper›PMID 32695004›Full record

ReviewFrontiers in pharmacology2020

Targeting β-Catenin Signaling by Natural Products for Cancer Prevention and Therapy.

Wen-Kai Yu, Zhi-Yuan Xu, Li Yuan, Shaowei Mo, Beihua Xu, Xiang-Dong Cheng, Jiang-Jiang Qin

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 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
2.3field-weighted citation impact, top 11% 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, 44 citations in OpenAlex.

  1. Review
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  20. Cancer informatics · 2022
    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

7 authors at 3 institutions in 1 country.

Wen-Kai YuCollege of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Zhi-Yuan XuInstitute of Cancer and Basic Medicine, Chinese Academy of Sciences, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
Li YuanThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Shaowei MoThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Beihua XuCollege of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Xiang-Dong ChengInstitute of Cancer and Basic Medicine, Chinese Academy of Sciences, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
Jiang-Jiang QinCollege of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Zhejiang Chinese Medical University · CNZhejiang Cancer Hospital · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mutations and deregulation of Wnt signaling pathway occur commonly in human cancer and cause the aberrant activation of β-catenin and β-catenin-dependent transcription, thus contributing to cancer development and progression. Therefore, β-catenin has been demonstrated as a promising target for cancer prevention and therapy. Many natural products have been characterized as inhibitors of the β-catenin signaling through down-regulating β-catenin expression, modulating its phosphorylation, promoting its ubiquitination and proteasomal degradation, inhibiting its nuclear translocation, or other molecular mechanisms. These natural product inhibitors have shown preventive and therapeutic efficacy in various cancer models

Indexed as

cancer prevention and therapydegradationinhibitorsnatural productsphosphorylationβ-catenin

Identifiers

PMID32695004
PMCPMC7338604
OpenAlexW3040353232

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.