Evidence map›Paper›PMID 39369170›Full record

ArticleMolecular diversity2025

Modulating JAK2/STAT3 signaling by quercetin in Qiling Baitouweng Tang: a potential therapeutic approach for diffuse large B-cell lymphoma.

Xin-Zhuo Zhan, Tian-Hua Wei, Chen Huang, Hui Yu, Xiao-Li Chen, Xiang-Tu Kong, Zhi-Hao Shang, Shan-Liang Sun, Meng-Yi Lu, Hai-Wen Ni

Abstract read
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In one paragraph

Article in Molecular diversity, 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

10 authors.

Xin-Zhuo Zhan *Department of Hematology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Tian-Hua Wei *National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Jiangsu Key Laboratory for High Technology Research of TCM Formulae, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Chen HuangDepartment of Hematology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Hui YuDepartment of Hematology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Xiao-Li ChenDepartment of Hematology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Xiang-Tu KongDepartment of Hematology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China.
Zhi-Hao ShangDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, 100700, China.
Shan-Liang SunNational and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine, Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, Jiangsu Key Laboratory for High Technology Research of TCM Formulae, Nanjing University of Chinese Medicine, Nanjing, 210023, China. ssun@njucm.edu.cn.
Meng-Yi LuDepartment of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, 211166, China. mylunjyk@njmu.edu.cn.
Hai-Wen NiDepartment of Hematology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, China. fsyy00654@njucm.edu.cn.

Funding

A key project of the Jiangsu Provincial Health Commission ZD 2021040Innovation and entrepreneurship training program for college students 202310315075KNatural Science Foundation of Nanjing University of Chinese Medicine XZR2023008Project of Jiangsu Administration of Traditional Chinese Medicine YB2017014The fourth batch of the National Excellent Talent Training Program of Traditional Chinese Medicine of the State Administration of Traditional Chinese Medicine Project of Jiangsu Administration of Traditional Chinese Medicine Chinese medicine office personnel education letter (2017) 24The Open Project of State Key Laboratory of Natural Medicines SKLNMKF202305
6 · The paper itself

Abstract

Qiling Baitouweng Tang (QLBTWT) is a traditional clinical formula for treating diffuse large B-cell lymphoma (DLBCL), but its molecular action is not fully understood. This research is utilized in silico analysis and liquid chromatography tandem mass spectrometry (LC‒MS/MS) to identify the active constituents of QLBTWT with anti-DLBCL properties and their targets. The study identified 14 compounds, including quercetin, naringenin, and astilbin, as potentially effective against DLBCL. Molecular modeling highlighted the favorable interaction of quercetin with the JAK2 protein. In vitro studies confirmed the ability of quercetin to inhibit DLBCL cell growth and migration while inducing apoptosis and causing G2/M phase cell cycle arrest. Molecular dynamics simulations revealed that quercetin binds to JAK2 as a type II inhibitor. In vivo studies in U2932 xenograft models demonstrated that QLBTWT inhibited tumor growth in a dose-dependent manner, which was associated with the JAK2/STAT3 signaling pathway. Overall, this study elucidates the therapeutic effect of QLBTWT on DLBCL through quercetin-mediated suppression of the JAK2/STAT3 pathway, offering novel therapeutic insights for DLBCL.

Indexed as

Drugs, Chinese HerbalJanus Kinase 2Lymphoma, Large B-Cell, DiffuseQuercetinSignal TransductionSTAT3 Transcription FactorAnimalsApoptosisCell Line, TumorCell MovementCell ProliferationHumansMiceMolecular Docking SimulationMolecular Dynamics SimulationXenograft Model Antitumor AssaysDrugs, Chinese HerbalJAK2 protein, humanJanus Kinase 2QuercetinSTAT3 protein, humanSTAT3 Transcription FactorDiffuse large B-cell lymphomaJanus kinase 2/signal transducer and activator of transcription 3Qiling Baitouweng TangQuercetin

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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.