Evidence map›Paper›PMID 40051559›Full record

ArticleFrontiers in pharmacology2025

β-lapachone suppresses carcinogenesis of cervical cancer via interaction with AKT1.

Pan Du, Yue Li, Anna Han, Mengying Wang, Jiajing Liu, Yingshi Piao, Liyan Chen

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

7 authors.

Pan Du *Key Laboratory of Pathobiology (Yanbian University), State Ethnic Affairs Commission, Yanji, China.
Yue Li *Changchun Center for Disease Control and Prevention, Changchun, China.
Anna HanKey Laboratory of Pathobiology (Yanbian University), State Ethnic Affairs Commission, Yanji, China.
Mengying WangKey Laboratory of Pathobiology (Yanbian University), State Ethnic Affairs Commission, Yanji, China.
Jiajing LiuKey Laboratory of Pathobiology (Yanbian University), State Ethnic Affairs Commission, Yanji, China.
Yingshi PiaoKey Laboratory of Pathobiology (Yanbian University), State Ethnic Affairs Commission, Yanji, China.
Liyan ChenKey Laboratory of Pathobiology (Yanbian University), State Ethnic Affairs Commission, Yanji, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cervical cancer is one of the most prevalent malignant tumors affecting women worldwide, and affected patients often face a poor prognosis due to its high drug resistance and recurrence rates. β-lapachone, a quinone compound originally extracted from natural plants, is an antitumor agent that specifically targets NQO1. Methods: CC cells were treated with varying concentrations of β-lapachone to examine its effects on glucose metabolism, proliferation, metastasis, angiogenesis, and EMT Results: β-lapachone significantly inhibited the proliferation and metastasis of cervical cancer cells by regulating glucose metabolism, reducing tumor angiogenesis, and suppressing epithelial-mesenchymal transition (EMT) in cells with high NQO1 expression. Furthermore, we identified the inactivation of the PI3K/AKT/mTOR pathway as the key mechanism underlying these effects. AKT1 was identified as a potential target of β-lapachone in modulating glucose metabolism and EMT in cervical cancer cells. Conclusion: These findings suggest that β-lapachone inhibits the malignant progression of cervical cancer by targeting AKT1 to regulate glucose metabolism in NQO1-overexpressing cells, providing a theoretical basis for developing novel therapeutic strategies for cervical cancer.

Indexed as

AKT1cervical cancerEMTglucose metabolismβ-lapachone

Identifiers

PMID40051559
PMCPMC11882534

What OpenQuestion holds

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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.