Evidence map›Paper›PMID 25753524›Full record

ArticleNature communications2015

Identification of FOXM1 as a therapeutic target in B-cell lineage acute lymphoblastic leukaemia.

Maike Buchner, Eugene Park, Huimin Geng, Lars Klemm, Johanna Flach, Emmanuelle Passegué, Hilde Schjerven, Ari Melnick, Elisabeth Paietta, Dragana Kopanja and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
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

39 citing papers in PubMed, 51 citations in OpenAlex.

  1. InterferonFrontiers in immunology · 2020
    Trial
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  11. The role of FoxM1 in immune cells.Clinical and experimental medicine · 2023
    Review
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  14. 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

12 authors at 4 institutions in 2 countries.

Maike BuchnerDepartment of Laboratory Medicine, University of California San Francisco, San Francisco, California 94143, USA.
Eugene Park1] Department of Laboratory Medicine, University of California San Francisco, San Francisco, California 94143, USA [2] Department of Haematology, University of Cambridge, Cambridge CB2 OAH, UK.
Huimin GengDepartment of Laboratory Medicine, University of California San Francisco, San Francisco, California 94143, USA.
Lars KlemmDepartment of Laboratory Medicine, University of California San Francisco, San Francisco, California 94143, USA.
Johanna FlachThe Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Medicine, Hem/Onc Division, University of California San Francisco, San Francisco, California 94143, USA.
Emmanuelle PasseguéThe Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, Department of Medicine, Hem/Onc Division, University of California San Francisco, San Francisco, California 94143, USA.
Hilde SchjervenDepartment of Laboratory Medicine, University of California San Francisco, San Francisco, California 94143, USA.ORCID 0000000192873375
Ari MelnickDivision of Hematology and Oncology, Weill Cornell Medical College, New York, New York 10021, USA.
Elisabeth PaiettaMontefiore Medical Center, Albert Einstein College of Medicine, Bronx, New York 10466, USA.
Dragana KopanjaDepartment of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, Illinois 60607, USA.
Pradip RaychaudhuriDepartment of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, Illinois 60607, USA.
Markus Müschen1] Department of Laboratory Medicine, University of California San Francisco, San Francisco, California 94143, USA [2] Department of Haematology, University of Cambridge, Cambridge CB2 OAH, UK.
University of California, San Francisco · USUniversity of Illinois Chicago · USAlbert Einstein College of Medicine · USCornell University · US

Funding

Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$167.6M
ECOG OPERATIONS OFFICE (IBCSG)U10CA021115 · NCI · UNIVERSITY OF WISCONSIN MADISON · PI COMIS, ROBERT L · 1985 to 2013
$132.6M
ECOG-ACRIN Biospecimen Bank to Support NCTNU24CA196172 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI STANLEY R. HAMILTON, Scott D Jewell · 2015 to 2026
$41.1M
ECOG Specimen BankingU24CA114737 · NCI · FRONTIER SCI &TECHNOLOGY RSCH FDN, INC · PI COMIS, ROBERT L · 2005 to 2014
$9.3M
Targeted activation of autoimmune checkpoints in B cell malignanciesR01CA157644 · NCI · YALE UNIVERSITY · PI Markus Müschen · 2011 to 2026
$5.7M
ECOG-ACRIN INTEGRATED LEUKEMIA TRANSLATIONAL RESEARCH CENTERU10CA180827 · NCI · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI LEVINE, ROSS L, MELNICK, ARI M. · 2014 to 2018
$3.0M
PRE-B CELL RECEPTOR SIGNALING IN ACUTE LYMPHOBLASTIC LEUKEMIAR01CA137060 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MÜSCHEN, MARKUS · 2009 to 2016
$2.7M
FoxM1 in liver cancer.R01CA175380 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RAYCHAUDHURI, PRADIP · 2014 to 2018
$2.0M
FoxM1 in breast cancer.R01CA177655 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RAYCHAUDHURI, PRADIP · 2014 to 2018
$1.6M
AID-mediated genetic instability in BCR-ABL1-transformed B cell lineage leukemiaR01CA139032 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MÜSCHEN, MARKUS · 2009 to 2013
$1.6M
Negative feedback signaling in tyrosine kinase-driven leukemiaR01CA172558 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MÜSCHEN, MARKUS · 2013 to 2015
$972k
Targeting BCL6 in tyrosine kinase-driven leukemiaR01CA169458 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MÜSCHEN, MARKUS · 2013 to 2015
$972k
Cancer Research UK 18131NCI NIH HHS CA175380NCI NIH HHS CA177655NCI NIH HHS R01 CA137060NCI NIH HHS R01CA137060NCI NIH HHS R01 CA139032NCI NIH HHS R01CA139032NCI NIH HHS R01 CA157644NCI NIH HHS R01CA157644NCI NIH HHS R01 CA169458NCI NIH HHS R01CA169458NCI NIH HHS R01 CA172558NCI NIH HHS R01CA172558NCI NIH HHS R01 CA175380NCI NIH HHS R01 CA177655NCI NIH HHS U10 CA021115NCI NIH HHS U10 CA180820NCI NIH HHS U10 CA180827NCI NIH HHS U24 CA114737NCI NIH HHS U24 CA196172Wellcome Trust 101880
6 · The paper itself

Abstract

Despite recent advances in the cure rate of acute lymphoblastic leukaemia (ALL), the prognosis for patients with relapsed ALL remains poor. Here we identify FOXM1 as a candidate responsible for an aggressive clinical course. We show that FOXM1 levels peak at the pre-B-cell receptor checkpoint but are dispensable for normal B-cell development. Compared with normal B-cell populations, FOXM1 levels are 2- to 60-fold higher in ALL cells and are predictive of poor outcome in ALL patients. FOXM1 is negatively regulated by FOXO3A, supports cell survival, drug resistance, colony formation and proliferation in vitro, and promotes leukemogenesis in vivo. Two complementary approaches of pharmacological FOXM1 inhibition-(i) FOXM1 transcriptional inactivation using the thiazole antibiotic thiostrepton and (ii) an FOXM1 inhibiting ARF-derived peptide-recapitulate the findings of genetic FOXM1 deletion. Taken together, our data identify FOXM1 as a novel therapeutic target, and demonstrate feasibility of FOXM1 inhibition in ALL.

Indexed as

Gene Expression Regulation, LeukemicAdultAnimalsAntineoplastic AgentsB-LymphocytesCell ProliferationCell SurvivalChildClinical Trials as TopicCyclin-Dependent Kinase Inhibitor p16Drug Resistance, NeoplasmForkhead Box Protein M1Forkhead Box Protein O3Forkhead Transcription FactorsHumansMiceAntineoplastic AgentsCyclin-Dependent Kinase Inhibitor p16Forkhead Box Protein M1Forkhead Box Protein O3Forkhead Transcription FactorsFOXM1 protein, humanFOXO3 protein, humanPeptidesThiostrepton

Identifiers

PMID25753524
PMCPMC4366523
OpenAlexW1992750667

What OpenQuestion holds

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Registered trials

None linked

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.