Evidence map›Paper›PMID 41908815›Full record

ArticleFrontiers in pharmacology2026

Real-world pharmacovigilance and molecular mechanisms of fruquintinib: SRC and STAT3 as potential off-target mediators of proteinuria.

Duogang Xu, Zhicheng Dai, Yulei He, Pengcheng Zhao, Shucheng Lin, Xiaofang Chen, Zichun Wei, Jianfa Rao, Jing Zhou, Youtao Guan and 3 more

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. 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
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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

13 authors.

Duogang Xu *Department of General Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.
Zhicheng Dai *Trauma Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yulei He *Department of Chinese Integrative Medicine Oncology, the First Affiliated Hospital of Anhui Medical University, Hefei, China.
Pengcheng ZhaoKey Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China.
Shucheng LinKey Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China.
Xiaofang ChenKey Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China.
Zichun WeiKey Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China.
Jianfa RaoDepartment of General Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.
Jing ZhouKey Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China.
Youtao GuanKey Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China.
Wenwen HuangKey Laboratory of Tumor Immunological Prevention and Treatment of Yunnan Province, Kunming, China.
Songlin YangDepartment of General Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.
Jing TanDepartment of General Surgery, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fruquintinib, a highly selective inhibitor of vascular endothelial growth factor receptors (VEGFR) 1-3, has demonstrated significant survival benefits in metastatic colorectal cancer (mCRC). While pivotal clinical trials have characterized its general toxicity profile, the molecular mechanisms driving specific, high-risk adverse events in the real-world setting remain underexplored. Methods: We adopted a "bedside-to-bench" reverse translational strategy to systematically evaluate the safety profile of Fruquintinib. First, we analyzed spontaneous reports from the FDA Adverse Event Reporting System (FAERS) (Q4 2023-Q1 2025) using disproportionality algorithms (ROR, PRR, BCPNN, and MGPS) to detect significant safety signals. Recognizing proteinuria as a clinically critical organ-specific toxicity, we subsequently prioritized it for mechanistic investigation. A "drug-target-disease" network was constructed, followed by molecular docking and 100-nanosecond (ns) molecular dynamics (MD) simulations to elucidate the underlying molecular etiology. Results: A total of 1,632 Fruquintinib-related reports were identified, with 66.2% of adverse events occurring within the first 30 days of therapy. Significant disproportionality signals were detected for myelosuppression (ROR = 29.31, 95% CI: 23.40-36.71), dysphonia (ROR = 21.96, 95% CI: 18.37-26.26), and proteinuria (ROR = 16.92, 95% CI: 11.81-24.23). Network pharmacology analysis mapped the intersection of drug and disease targets, identifying SRC and STAT3 as core hub kinases. Molecular docking revealed that Fruquintinib exhibits favorable theoretical binding affinities to the active pockets of SRC (-7.8 kcal/mol) and STAT3 (-7.4 kcal/mol), surpassing its affinity for several canonical targets. MD simulations further confirmed the rigorous dynamic stability of these complexes (RMSD ∼0.22 nm) and revealed a distinct induced-fit binding mechanism. Conclusion: This study provides the first integration of pharmacovigilance data with biophysical modeling for Fruquintinib. Beyond corroborating established class related safety profiles, we hypothesize a novel dual hit molecular framework for renal toxicity. This clinical association might involve both classical vascular endothelial growth factor receptor blockade and the potential off target structural interactions of SRC and STAT3. These insights underscore the importance of early renal monitoring and offer structural insights into the drug's safety profile.

Indexed as

adverse drug eventsFAERS databasefruquintinibmetastatic colorectal cancernetwork pharmacologypharmacovigilance

Identifiers

PMID41908815
PMCPMC13021642

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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.