Evidence map›Paper›PMID 40041411›Full record

ArticleOncology letters2025

Integrating network pharmacology and experimental validation to explore the potential mechanism by which resveratrol acts on osimertinib resistance in lung cancer.

Xin Yu, Yuan Yao, Haiwen Zhou, Jintao Zhu, Nini Zhang, Shuliu Sang, Hailun Zhou

Abstract read
In one paragraph

Article in Oncology letters, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  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

7 authors.

Xin YuDepartment of Respiratory Medicine, Traditional Chinese Medical Hospital of Zhuji, Zhuji, Zhejiang 311800, P.R. China.
Yuan YaoDepartment of TCM, Shimen Er Lu Community Health Service Center of Jing'an District, Shanghai 200041, P.R. China.
Haiwen ZhouDepartment of Respiratory Medicine, Traditional Chinese Medical Hospital of Zhuji, Zhuji, Zhejiang 311800, P.R. China.
Jintao ZhuDepartment of Respiratory Medicine, Traditional Chinese Medical Hospital of Zhuji, Zhuji, Zhejiang 311800, P.R. China.
Nini ZhangDepartment of Respiratory Medicine, Traditional Chinese Medical Hospital of Zhuji, Zhuji, Zhejiang 311800, P.R. China.
Shuliu SangDepartment of Oncology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, P.R. China.
Hailun ZhouDepartment of Oncology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, osimertinib resistance has been a long-term challenge. Resveratrol, a naturally occurring polyphenolic compound found in various plants, has the potential to modulate multidrug resistance mechanisms. However, the specific role of resveratrol in delaying osimertinib resistance in lung cancer is still unclear. The present study aimed to investigate the therapeutic effects and underlying mechanisms of resveratrol in delaying osimertinib resistance. Accordingly, the corresponding targets of resveratrol were screened through the Traditional Chinese Medicine Systems Pharmacology database. Similarly, the corresponding targets for osimertinib resistance were mined from the GeneCards database. A protein-protein interaction network was subsequently constructed to pinpoint key hub genes that resveratrol may target to delay resistance. Molecular docking analysis was then employed to assess the binding energy between the predicted key targets and resveratrol. Finally,

Indexed as

lung cancernetwork pharmacologyosimertinib resistanceresveratrol

Identifiers

PMID40041411
PMCPMC11877012

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.