Evidence map›Paper›PMID 33400690›Full record

ArticleJCI insight2021

Direct conversion of osteosarcoma to adipocytes by targeting TNIK.

Toru Hirozane, Mari Masuda, Teppei Sugano, Tetsuya Sekita, Naoko Goto, Toru Aoyama, Takato Sakagami, Yuko Uno, Hideki Moriyama, Masaaki Sawa and 8 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. The Impact of Targeting TRAF2 and NCK-Interacting Protein Kinase on Antitumor Effect and Tumor Immune Environment in c-MYC-High SCLC.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
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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

18 authors at 3 institutions in 1 country.

Toru HirozaneDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Mari MasudaDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Teppei SuganoDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Tetsuya SekitaDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Naoko GotoDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Toru AoyamaDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Takato SakagamiDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Yuko UnoCarna Biosciences Inc., Kobe, Japan.
Hideki MoriyamaCarna Biosciences Inc., Kobe, Japan.
Masaaki SawaCarna Biosciences Inc., Kobe, Japan.
Naofumi AsanoDepartment of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan.
Masaya NakamuraDepartment of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan.
Morio MatsumotoDepartment of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan.
Robert NakayamaDepartment of Orthopedic Surgery, Keio University School of Medicine, Tokyo, Japan.
Tadashi KondoDivision of Rare Cancer Research, National Cancer Center Research Institute, Tokyo, Japan.
Akira KawaiDivision of Musculoskeletal Oncology, National Cancer Center Hospital, Tokyo, Japan.
Eisuke KobayashiDivision of Musculoskeletal Oncology, National Cancer Center Hospital, Tokyo, Japan.
Tesshi YamadaDivision of Cellular Signaling, National Cancer Center Research Institute, Tokyo, Japan.
Keio University · JPNippon Medical School · JPTokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteosarcoma (OS) is an aggressive mesenchymal tumor for which no molecularly targeted therapies are available. We have previously identified TRAF2- and NCK-interacting protein kinase (TNIK) as an essential factor for the transactivation of Wnt signal target genes and shown that its inhibition leads to eradication of colorectal cancer stem cells. The involvement of Wnt signaling in the pathogenesis of OS has been implicated. The aim of the present study was to examine the potential of TNIK as a therapeutic target in OS. RNA interference or pharmacological inhibition of TNIK suppressed the proliferation of OS cells. Transcriptome analysis suggested that a small-molecule inhibitor of TNIK upregulated the expression of genes involved in OS cell metabolism and downregulated transcription factors essential for maintaining the stem cell phenotype. Metabolome analysis revealed that this TNIK inhibitor redirected the metabolic network from carbon flux toward lipid accumulation in OS cells. Using in vitro and in vivo OS models, we confirmed that TNIK inhibition abrogated the OS stem cell phenotype, simultaneously driving conversion of OS cells to adipocyte-like cells through induction of PPARγ. In relation to potential therapeutic targeting in clinical practice, TNIK was confirmed to be in an active state in OS cell lines and clinical specimens. From these findings, we conclude that TNIK is applicable as a potential target for treatment of OS, affecting cell fate determination.

Indexed as

AdipocytesAnimalsBone NeoplasmsCell Line, TumorCell ProliferationFeasibility StudiesFemaleHumansMetabolomicsMiceMice, Inbred NODMice, SCIDMolecular Targeted TherapyNeoplastic Stem CellsOsteosarcomaPPAR gammaPPAR gammaPPARG protein, humanProtein Kinase InhibitorsProtein Serine-Threonine KinasesTNIK protein, humanAdult stem cellsCell BiologyDrug therapyOncogenesTherapeutics

Identifiers

PMID33400690
PMCPMC7934882
OpenAlexW3120308493

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.