Evidence map›Paper›PMID 38594321›Full record

ArticleScientific reports2024

Metabolomic profiling of cancer-related fatigue involved in cachexia and chemotherapy.

Yuki Okinaka, Susumu Kageyama, Toshiyuki Goto, Masahiro Sugimoto, Atsumi Tomita, Yumi Aizawa, Kenichi Kobayashi, Akinori Wada, Akihiro Kawauchi, Yosky Kataoka

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Development and validation of a machine learning model to predict moderate-to-severe cancer-related fatigue in breast cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  7. Observational
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

10 authors at 4 institutions in 1 country.

Yuki OkinakaDepartment of Urology, Shiga University of Medical Science, Shiga, 520-2192, Japan.
Susumu KageyamaDepartment of Urology, Shiga University of Medical Science, Shiga, 520-2192, Japan.
Toshiyuki GotoRIKEN Center for Biosystems Dynamics Research, Hyogo, 650-0047, Japan.
Masahiro SugimotoInstitute of Medical Science, Tokyo Medical University, Tokyo, 160-8402, Japan.
Atsumi TomitaInstitute of Medical Science, Tokyo Medical University, Tokyo, 160-8402, Japan.
Yumi AizawaInstitute of Medical Science, Tokyo Medical University, Tokyo, 160-8402, Japan.
Kenichi KobayashiDepartment of Urology, Shiga University of Medical Science, Shiga, 520-2192, Japan.
Akinori WadaDepartment of Urology, Shiga University of Medical Science, Shiga, 520-2192, Japan.
Akihiro KawauchiDepartment of Urology, Shiga University of Medical Science, Shiga, 520-2192, Japan.
Yosky KataokaRIKEN Center for Biosystems Dynamics Research, Hyogo, 650-0047, Japan. kataokay@person.kobe-u.ac.jp.
Shiga University of Medical Science · JPTokyo Medical University · JPKobe University · JPRIKEN Center for Biosystems Dynamics Research · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with advanced cancer are frequently burdened with a severe sensation of fatigue called cancer-related fatigue (CRF). CRF is induced at various stages and treatments, such as cachexia and chemotherapy, and reduces the overall survival of patients. Objective and quantitative assessment of CRF could contribute to the diagnosis and prediction of treatment efficacy. However, such studies have not been intensively performed, particularly regarding metabolic profiles. Here, we conducted plasma metabolomics of 15 patients with urological cancer. The patients with and without fatigue, including those with cachexia or chemotherapy-induced fatigue, were compared. Significantly lower concentrations of valine and tryptophan were observed in fatigued patients than in non-fatigued patients. In addition, significantly higher concentrations of polyamine pathway metabolites were observed in patients with fatigue and cachexia than in those without cachexia. Patients with exacerbated fatigue due to chemotherapy showed significantly decreased cysteine and methionine metabolism before chemotherapy compared with those without fatigue exacerbation. These findings suggest that plasma metabolic profiles could help improve the diagnosis and monitoring of CRF.

Indexed as

CachexiaNeoplasmsFatigueHumansMetabolomeMetabolomics

Identifiers

PMID38594321
PMCPMC11004174
OpenAlexW4394601178

What OpenQuestion holds

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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.