Evidence map›Paper›PMID 42206177›Full record

ArticleFrontiers in pharmacology2026

Mechanism of

Yujie Wei, Hui Liu, Anxin Wang, Qi Huang, Ruyi Liu, Hao Yu, Yongxue Song, Ruining Hu, Xiuming Li

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yujie Wei *Department of Urology, Affiliated Hospital of Chengde Medical University, Chengde, China.
Hui Liu *Department of Prescription and TCM, School of Traditional Chinese Medicine, Chengde Medical University, Chengde, China.
Anxin WangDepartment of Prescription and TCM, School of Traditional Chinese Medicine, Chengde Medical University, Chengde, China.
Qi HuangDepartment of Prescription and TCM, School of Traditional Chinese Medicine, Chengde Medical University, Chengde, China.
Ruyi LiuDepartment of Urology, Affiliated Hospital of Chengde Medical University, Chengde, China.
Hao YuDepartment of Urology, Affiliated Hospital of Chengde Medical University, Chengde, China.
Yongxue SongMulberry Silkworm Research Institute, Chengde Medical University, Chengde, China.
Ruining HuDepartment of Prescription and TCM, School of Traditional Chinese Medicine, Chengde Medical University, Chengde, China.
Xiuming LiDepartment of Urology, Affiliated Hospital of Chengde Medical University, Chengde, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ethnopharmacological Relevance: The medicinal relevance of Aim: A systematic assessment of the antitumor potential and the underlying molecular mechanisms of Materials and Methods: UHPLC-Q-Exactive HRMS and literature mining were used to identify bioactive constituents of Results: 49 bioactive compounds and 169 overlapping targets of RCC were found. Based on target interactions, cerevisterol, withanolide, inonoterpene A and polyporusterone D were found to be major constituents. Network analysis and docking studies identified AKT1, EGFR, CTNNB1, STAT3, and BCL2 as core targets, exhibiting strong binding affinities with key compounds. The PI3K/Akt/mTOR and other cancer-related pathways were identified to be engaged in functional enrichment. EEIH treatment considerably inhibited RCC cell proliferation, colony formation, and migration, triggering apoptosis and downregulating phosphorylated Akt and mTOR. The Conclusion: The antitumor mechanism of

Indexed as

Inonotus hispidusmolecular dockingnetwork pharmacologyPI3K/Akt/mTOR pathwayrenal cell carcinoma

Identifiers

PMID42206177
PMCPMC13201449

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.