Evidence map›Paper›PMID 36319669›Full record

ArticleOncogene2022

Identification of the ultrahigh-risk subgroup in neuroblastoma cases through DNA methylation analysis and its treatment exploiting cancer metabolism.

Kentaro Watanabe, Shunsuke Kimura, Masafumi Seki, Tomoya Isobe, Yasuo Kubota, Masahiro Sekiguchi, Aiko Sato-Otsubo, Mitsuteru Hiwatari, Motohiro Kato, Akira Oka and 15 more

Open access · hybridAbstract read
In one paragraph

Article in Oncogene, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

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  11. Heliyon · 2024
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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

25 authors at 7 institutions in 1 country.

Kentaro WatanabeDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-0868-5289
Shunsuke KimuraDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Masafumi SekiDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-4671-7026
Tomoya IsobeDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-3487-3307
Yasuo KubotaDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-7909-5422
Masahiro SekiguchiDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-7941-9319
Aiko Sato-OtsuboDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-2528-0702
Mitsuteru HiwatariDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Motohiro KatoDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Akira OkaDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Katsuyoshi KohDepartment of Hematology/Oncology, Saitama Children's Medical Center, Saitama, Japan.
Yusuke SatoDepartment of Urology, The University of Tokyo, Tokyo, Japan.
Hiroko TanakaDepartment of Integrated Analytics, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.ORCID 0000-0001-9634-8922
Satoru MiyanoDepartment of Integrated Analytics, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.ORCID 0000-0002-1753-6616
Tomoko KawaiDepartment of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan.
Kenichiro HataDepartment of Maternal-Fetal Biology, National Research Institute for Child Health and Development, Tokyo, Japan.
Hiroo UenoDepartment of Pediatrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yasuhito NannyaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hiromichi SuzukiDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-8858-0294
Kenichi YoshidaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yoichi FujiiDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Genta NagaeGenome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-2929-7990
Hiroyuki AburataniGenome Science Division, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-0438-1544
Seishi OgawaDepartment of Pathology and Tumor Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.ORCID 0000-0002-7778-5374
Junko TakitaDepartment of Pediatrics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. jtakita@kuhp.kyoto-u.ac.jp.ORCID 0000-0002-2452-6520
The University of Tokyo · JPKyoto University · JPTokyo Medical and Dental University · JPGunma University · JPHiroshima University · JPNational Center For Child Health and Development · JPSaitama Children's Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroblastomas require novel therapies that are based on the exploitation of their biological mechanism. To address this need, we analyzed the DNA methylation and expression datasets of neuroblastomas, extracted a candidate gene characterizing the aggressive features, and conducted functional studies. Based on the DNA methylation data, we identified a subgroup of neuroblastoma cases with 11q loss of heterozygosity with extremely poor prognosis. PHGDH, a serine metabolism-related gene, was extracted as a candidate with strong expression and characteristic methylation in this subgroup as well as in cases with MYCN amplification. PHGDH inhibition suppressed neuroblastoma cell proliferation in vitro and in vivo, indicating that the inhibition of serine metabolism by PHGDH inhibitors is a therapeutic alternative for neuroblastoma. Inhibiting the arginine metabolism, which is closely related to serine metabolism using arginine deiminase, had a combination effect both in vitro and in vivo, especially on extracellular arginine-dependent neuroblastoma cells with ASS1 deficiency. Expression and metabolome analyses of post-dose cells confirmed the synergistic effects of treatments targeting serine and arginine indicated that xCT inhibitors that inhibit cystine uptake could be candidates for further combinatorial treatment. Our results highlight the rational therapeutic strategy of targeting serine/arginine metabolism for intractable neuroblastoma.

Indexed as

DNA MethylationNeuroblastomaArginineCell Line, TumorCell ProliferationGene Expression Regulation, NeoplasticHumansN-Myc Proto-Oncogene ProteinSerineArginineN-Myc Proto-Oncogene ProteinSerine

Identifiers

PMID36319669
PMCPMC9652143
OpenAlexW4307834136

What OpenQuestion holds

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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.