Evidence map›Paper›PMID 41419727›Full record

ReviewDiscover oncology2025

Progress in the antitumor molecular mechanisms of Isorhamnetin.

Anyang Liu, Xunxing Hao, Yong Zhu

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Anyang LiuThe First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250000, China.
Xunxing HaoThe First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250000, China.
Yong ZhuDepartment of Emergency Surgery, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250000, China. 15168886396@163.com.

Funding

This work was supported by the Shandong Province Traditional Chinese Medicine Science and Technology Key Project Z-2023025
6 · The paper itself

Abstract

Cancer remains a leading cause of morbidity and mortality worldwide, and the limitations of conventional chemotherapy—such as severe side effects and drug resistance—underscore the urgent need for novel anti-cancer agents with high efficacy and low toxicity. In this context, natural products derived from traditional medicinal sources have attracted increasing attention as promising alternatives. Isorhamnetin, a naturally occurring flavonoid found in plants like Ginkgo biloba and sea buckthorn, has emerged as a compound of particular interest due to its broad spectrum of pharmacological properties, including antioxidant, anti-inflammatory, vascular-protective, and notably, anti-tumor activities. Recent studies have shown that Isorhamnetin can inhibit tumor cell proliferation and suppress the progression of various cancers, such as breast, pancreatic, gastric, and liver cancers. Its anti-tumor effects are mediated through multiple mechanisms, including induction of apoptosis, inhibition of proliferation, suppression of invasion and migration, and enhancement of chemosensitivity. Moreover, Isorhamnetin exerts its therapeutic effects by modulating diverse signaling pathways. Despite its potential, a comprehensive understanding of its molecular mechanisms remains incomplete, and systematic reviews are still lacking. This review aims to summarize the current evidence on the anti-cancer mechanisms of Isorhamnetin, providing a scientific basis for its clinical application and the development of effective, low-toxicity anti-cancer therapies.

Indexed as

CancerIsorhamnetinMolecular mechanismsNatural products, pathway

Identifiers

PMID41419727
PMCPMC12830526

What OpenQuestion holds

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Registered trials

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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.