Evidence map›Paper›PMID 41483122›Full record

ReviewMolecular and cellular biochemistry2026

Nutritional modulation of metabolic signaling within the tumor microenvironment for cancer therapy.

Mahdi Maleki Aghdam, Lotfollah Rezagholizadeh, Aliakbar Fazaeli, Alireza Moradi, Masoud Ojarudi

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In one paragraph

Review in Molecular and cellular biochemistry, 2026. 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. 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

5 authors.

Mahdi Maleki AghdamStudent Research Committee, Urmia University of Medical Sciences, Urmia, Iran.
Lotfollah RezagholizadehDepartment of Clinical Biochemistry School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
Aliakbar FazaeliDepartment of Clinical Biochemistry School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.
Alireza MoradiLung Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, Iran. moradialireza12@gmail.com.
Masoud OjarudiLung Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) constitutes a complex ecosystem of cellular and non-cellular components. Together, these constituents exert a critical influence on cancer progression. A principal mechanism underlying this influence is metabolic reprogramming, in which tumor cells alter glucose, amino acid, and lipid metabolism to promote growth, survival, and immune evasion. Metabolic adaptation is further regulated by nutrient-sensing pathways, including mammalian target of rapamycin (mTOR), AMP-activated protein kinase (AMPK), and hypoxia-inducible factor (HIF), which often exhibit context-dependent and sometimes opposing functions in tumor and immune cells within the TME. Given this complexity, targeting metabolic vulnerabilities has become a promising therapeutic approach. In this context, nutritional interventions, such as caloric restriction, ketogenic diets, fasting-mimicking diets, protein or amino acid modulation, and lipid metabolism adjustments, aim to deprive tumors of essential nutrients, remodel the immunosuppressive TME, and increase cancer cell sensitivity to chemotherapy, radiotherapy, and immunotherapy. However, the efficacy of these interventions varies according to cancer type, oncogenic drivers, and immune contexture, and there is a risk of impairing anti-tumor immune function. Addressing these challenges will require personalized nutrition strategies that integrate tumor genetics, metabolic profiling, and the gut microbiome, together with technological advances for real-time monitoring. Progress in this area depends on a deeper mechanistic understanding of nutrient-immune interactions and the optimization of combination approaches for improved metabolic targeting in precision oncology. Accordingly, this review addresses a critical gap by synthesizing mechanistic and translational literature and outlining actionable priorities to advance nutritional modulation from preclinical research to clinical application.

Indexed as

Caloric RestrictionNeoplasmsSignal TransductionTumor MicroenvironmentAnimalsHumansMetabolic ReprogrammingImmunometabolismMetabolic reprogrammingNutrient-sensing pathwaysTumor microenvironment

Identifiers

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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.