Evidence map›Paper›PMID 40552664›Full record

ReviewPathology international2025

The Landscape of Cancer Metabolism as a Therapeutic Target.

Kenji Ohshima

Abstract readReview
In one paragraph

Review in Pathology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
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

1 author.

Kenji OhshimaDepartment of Molecular Pathology, Faculty of Medicine, Hyogo Medical University, Nishinomiya, Japan.ORCID https://orcid.org/0000-0003-1114-386X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer cells reprogram their metabolism during progression to adapt to the tumor microenvironment, which is characterized by distinct differences in nutrient availability, oxygen concentrations, and acidity. This metabolic reprogramming can simultaneously create metabolic vulnerabilities unique to cancer cells, making cancer metabolism a promising therapeutic target. Since the clinical application of folate antimetabolites in the 1940s, numerous therapeutic strategies targeting cancer metabolism have been developed. In recent years, advancements in technologies such as metabolome analysis have facilitated the development of agents that more specifically target cancer cell metabolism. However, these newly developed agents often face challenges in demonstrating efficacy as monotherapies in clinical trials. Nevertheless, combination therapies, designed based on precise mechanistic insights and incorporating agents such as immune-checkpoint and signaling-pathway inhibitors, have shown promising efficacy. This review provides an overview of the current landscape of therapeutic strategies targeting cancer metabolism, with a particular focus on approaches targeting amino acid, fatty acid, and glucose metabolism in cancer cells.

Indexed as

Antineoplastic AgentsNeoplasmsAnimalsFatty AcidsHumansMolecular Targeted TherapyTumor MicroenvironmentAntineoplastic AgentsFatty Acidsamino acid metabolismcancer metabolismcancer therapycombination therapyfatty acid metabolismglucose metabolism

Identifiers

PMID40552664
PMCPMC12379188

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.