Evidence map›Paper›PMID 40846916›Full record

ArticleBMC cancer2025

Metabolic landscape of clear cell renal cell carcinoma and search for metabolites predictive of drug response.

Michinobu Ozawa, Sei Naito, Hideki Makinoshima, Hiromi Ito, Atsushi Tsuya, Takafumi Narisawa, Hiroki Fukuhara, Yuki Takai, Masaki Ushijima, Mayu Yagi and 2 more

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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.

Michinobu OzawaDepartment of Urology, Yamagata University Faculty of Medicine, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan.
Sei NaitoDepartment of Urology, Yamagata University Faculty of Medicine, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan. seinaito@med.id.yamagata-u.ac.jp.
Hideki MakinoshimaTsuruoka Metabolomics Laboratory, National Cancer Center, 246-2 Mizukami, Kakuganji, Tsuruoka, 975-0052, Yamagata, Japan.
Hiromi ItoDepartment of Urology, Yamagata University Faculty of Medicine, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan.
Atsushi TsuyaInstitute for promotion of medical science research, Faculty of Medicine, Yamagata University, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan.
Takafumi NarisawaDepartment of Urology, Yamagata University Faculty of Medicine, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan.
Hiroki FukuharaDepartment of Urology, Yamagata University Faculty of Medicine, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan.
Yuki TakaiDepartment of Urology, Yamagata University Faculty of Medicine, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan.
Masaki UshijimaDepartment of Urology, Yamagata University Faculty of Medicine, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan.
Mayu YagiDepartment of Urology, Yamagata University Faculty of Medicine, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan.
Hayato NishidaDepartment of Urology, Yamagata University Faculty of Medicine, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan.
Norihiko TsuchiyaDepartment of Urology, Yamagata University Faculty of Medicine, 2-2-2 Iida-nishi, Yamagata, 990-9585, Japan.

Funding

Japan Society for the Promotion of Science JP22K16814
6 · The paper itself

Abstract

backgroundClear cell renal cell carcinoma (ccRCC) commonly exhibits biallelic inactivation of VHL genes, profoundly impacting intracellular metabolic pathways and utilization of metabolic substrates. The aims of this study were to validate the metabolomic profile previously identified in ccRCC surgical specimens, to construct a metabolic classification in ccRCC, and to exploratorily investigate metabolic biomarkers of systemic therapy response. MATERIALS AND

methodsWe first examined the metabolome in 52 paired tumor/normal surgical ccRCC samples, and then compared the metabolites using paired t-test. Unsupervised clustering analysis was done, and the patients were divided into four subgroups. Then tumor grade and transcriptome analyses were compared among the four groups. Finally, to compare the metabolome according to the effect of systemic therapy, we analyzed 9 patients with vascular endothelial growth factor (VEGF)-tyrosine kinase inhibitor (VEGF-TKI) and 11 patients with immune checkpoint blockade (ICB), respectively.

resultsThe upper stream of glycolysis and the pentose phosphate pathway were commonly activated, along with elevated glutamine levels and reduced proteinogenic amino acids (AAs) other than glutamine in ccRCC tissues, consistent with prior findings. Lactate levels, previously reported as elevated, varied across metabolic subgroups. he Metabolic subgroups enriched with high-grade tumors demonstrated lower expression of VEGF pathway-related genes. VEGF-TKI responders showed decreased levels of some fatty acids. ICI responders exhibited reduced levels of tryptophan and hydroquinone. alongside increased levels of pyruvic acid-oxime, 3-hydroxypropinoic acid, and hydroxylamine.

conclusionsWe validated the landscape of the ccRCC metabolome and identified some metabolites as potential biomarkers for predicting therapeutic response in RCC.

Indexed as

Biomarkers, TumorCarcinoma, Renal CellKidney NeoplasmsMetabolomeAdultAgedFemaleGene Expression ProfilingHumansImmune Checkpoint InhibitorsMaleMetabolomicsMiddle AgedProtein Kinase InhibitorsVascular Endothelial Growth Factor ABiomarkers, TumorImmune Checkpoint InhibitorsProtein Kinase InhibitorsVascular Endothelial Growth Factor ABiomarkerClear cell renal cell carcinomaKidney cancerMetabolome.

Identifiers

PMID40846916
PMCPMC12372187

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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.