Evidence map›Paper›PMID 25543165›Full record

ArticleCancer letters2015

Baicalein upregulates DDIT4 expression which mediates mTOR inhibition and growth inhibition in cancer cells.

Yujun Wang, Ernest Han, Quanhua Xing, Jin Yan, Amanda Arrington, Charles Wang, Dylan Tully, Claudia M Kowolik, David M Lu, Paul H Frankel and 5 more

Abstract read
In one paragraph

Article in Cancer letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
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  5. Therapeutic effect of baicalein as an antiparasitic agent againstJournal of Zhejiang University. Science. B · 2025
    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

15 authors.

Yujun WangDepartments of Surgery, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
Ernest HanDepartments of Surgery, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
Quanhua XingDepartments of Surgery, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
Jin YanDepartments of Surgery, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
Amanda ArringtonDepartments of Surgery, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
Charles WangMolecular & Cellular Biology, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
Dylan TullyDepartments of Surgery, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
Claudia M KowolikMolecular & Cellular Biology, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA; Medical Oncology, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
David M LuMolecular Medicine, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
Paul H FrankelBiostatistics, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
Jing ZhaiPathology, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
Wei WenDepartments of Surgery, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
David HorneMolecular Medicine, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
M L Richard YipMolecular Medicine, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA.
John H YimDepartments of Surgery, Beckman Research Institute of City of Hope, 1500 E. Duarte Rd, Duarte, CA 91010, USA. Electronic address: jyim@coh.org.

Funding

Role of IRF-1 in Tumor Suppression of Breast CancerK08CA098403 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YIM, JOHN H · 2004 to 2008
$660k
NCI NIH HHS K08 CA098403NCI NIH HHS K08CA098403
6 · The paper itself

Abstract

Baicalein is a natural flavone that exhibits anticancer properties. Using microarrays we found that DDIT4 was the highest transcript induced by baicalein in cancer cells. We confirmed in multiple cancer cell lines large, dose-related expression of DDIT4 by quantitative RT-PCR and immunoblot, which correlates with growth inhibition. Time course experiments demonstrate that DDIT4 is rapidly inducible, with high expression maintained for several days in vitro. Induction of DDIT4 expression is p53 independent based on evaluation of p53 knockout cells. Since DDIT4 is known to inhibit mTORC1 activity we confirmed that baicalein suppresses phosphorylation of mTORC1 targets. Using RNA interference we demonstrate that mTORC1 activity and growth inhibition by baicalein is attenuated by knockdown of DDIT4. We furthermore demonstrate suppression of established tumors by baicalein in a mouse model of breast cancer with increased DDIT4 expression in the tumors. Finally, we demonstrate that baicalein upregulates DDIT4 and causes mTORC1 and growth inhibition in platinum resistant cancer cells in marked contrast to platinum chemotherapy treatment. These studies demonstrate that baicalein inhibits mTORC1 through DDIT4 expression, and may be useful in cancer chemotherapy and chemoprevention.

Indexed as

AnimalsAntineoplastic AgentsCell Line, TumorCell ProliferationDisease Models, AnimalFemaleFlavanonesGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiceNeoplasmsProtein Kinase InhibitorsTime FactorsTOR Serine-Threonine KinasesTranscription FactorsAntineoplastic AgentsbaicaleinDDIT4 protein, humanFlavanonesProtein Kinase InhibitorsTOR Serine-Threonine KinasesTranscription FactorsTumor Suppressor Protein p53BaicaleinCellular stressDDIT4IRF1mTOR

Identifiers

PMID25543165
PMCPMC5989711

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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.