Evidence map›Paper›PMID 33374949›Full record

ArticleMetabolites2020

Metabolomic Analysis to Elucidate Mechanisms of Sunitinib Resistance in Renal Cell Carcinoma.

Tomonori Sato, Yoshihide Kawasaki, Masamitsu Maekawa, Shinya Takasaki, Kento Morozumi, Masahiko Sato, Shuichi Shimada, Naoki Kawamorita, Shinichi Yamashita, Koji Mitsuzuka and 2 more

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

25 citing papers in PubMed, 37 citations in OpenAlex.

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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 2 institutions in 1 country.

Tomonori SatoDepartment of Urology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8574, Japan.
Yoshihide KawasakiDepartment of Urology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8574, Japan.ORCID 0000-0001-6425-3574
Masamitsu MaekawaDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Miyagi 980-8574, Japan.
Shinya TakasakiDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Miyagi 980-8574, Japan.
Kento MorozumiDepartment of Urology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8574, Japan.
Masahiko SatoDepartment of Urology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8574, Japan.
Shuichi ShimadaDepartment of Urology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8574, Japan.
Naoki KawamoritaDepartment of Urology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8574, Japan.
Shinichi YamashitaDepartment of Urology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8574, Japan.
Koji MitsuzukaDepartment of Urology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8574, Japan.
Nariyasu ManoDepartment of Pharmaceutical Sciences, Tohoku University Hospital, Sendai, Miyagi 980-8574, Japan.
Akihiro ItoDepartment of Urology, Tohoku University Graduate School of Medicine, Sendai, Miyagi 980-8574, Japan.
Tohoku University · JPTohoku University Hospital · JP

Funding

Grants-in-Aid for Scientific Research from the Japanese Ministry of Education, Culture, Sports, Science, and Technology 17K07210Grants-in-Aid for Scientific Research from the Japanese Ministry of Education, Culture, Sports, Science, and Technology 18K16683Grants-in-Aid for Scientific Research from the Japanese Ministry of Education, Culture, Sports, Science, and Technology 20K07582
6 · The paper itself

Abstract

Metabolomics analysis possibly identifies new therapeutic targets in treatment resistance by measuring changes in metabolites accompanying cancer progression. We previously conducted a global metabolomics (G-Met) study of renal cell carcinoma (RCC) and identified metabolites that may be involved in sunitinib resistance in RCC. Here, we aimed to elucidate possible mechanisms of sunitinib resistance in RCC through intracellular metabolites. We established sunitinib-resistant and control RCC cell lines from tumor tissues of RCC cell (786-O)-injected mice. We also quantified characteristic metabolites identified in our G-Met study to compare intracellular metabolism between the two cell lines using liquid chromatography-mass spectrometry. The established sunitinib-resistant RCC cell line demonstrated significantly desuppressed protein kinase B (Akt) and mesenchymal-to-epithelial transition (MET) phosphorylation compared with the control RCC cell line under sunitinib exposure. Among identified metabolites, glutamine, glutamic acid, and α-KG (involved in glutamine uptake into the tricarboxylic acid (TCA) cycle for energy metabolism); fructose 6-phosphate, D-sedoheptulose 7-phosphate, and glucose 1-phosphate (involved in increased glycolysis and its intermediate metabolites); and glutathione and myoinositol (antioxidant effects) were significantly increased in the sunitinib-resistant RCC cell line. Particularly, glutamine transporter (SLC1A5) expression was significantly increased in sunitinib-resistant RCC cells compared with control cells. In this study, we demonstrated energy metabolism with glutamine uptake and glycolysis upregulation, as well as antioxidant activity, was also associated with sunitinib resistance in RCC cells.

Indexed as

glutaminemetabolomicsrenal cell carcinomaresistancesunitinib

Identifiers

PMID33374949
PMCPMC7821950
OpenAlexW3114894725

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.