Evidence mapPaperPMID 41826648Full record

ReviewExperimental & molecular medicine2026

Metabolic networks in the tumor microenvironment: roles of amino acid and lipid metabolism pathways in cancer progression and therapy.

Yulseung Sung, Dae Kyoung Kim, Jun Se Kim, Seong-Jang Kim, Jae Ho Kim, Jung Min Han

Abstract readReview
In one paragraph

Review in Experimental & molecular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

6 authors.

Yulseung Sung *Yonsei Institute of Pharmaceutical Sciences, College of Pharmacy, Yonsei University, Incheon, South Korea.ORCID http://orcid.org/0000-0002-9933-3758
Dae Kyoung Kim *Department of Physiology, Pusan National University School of Medicine, Yangsan, South Korea.
Jun Se KimDepartment of Physiology, Pusan National University School of Medicine, Yangsan, South Korea.
Seong-Jang KimDepartment of Physiology, Pusan National University School of Medicine, Yangsan, South Korea.
Jae Ho KimDepartment of Physiology, Pusan National University School of Medicine, Yangsan, South Korea. jhkimst@pusan.ac.kr.ORCID http://orcid.org/0000-0003-4323-4790
Jung Min HanYonsei Institute of Pharmaceutical Sciences, College of Pharmacy, Yonsei University, Incheon, South Korea. jhan74@yonsei.ac.kr.ORCID http://orcid.org/0000-0003-3372-7575

Funding

Korea Drug Development Fund (KDDF) RS-2024-00334337National Research Foundation of Korea (NRF) NRF-2022R1A5A2027161National Research Foundation of Korea (NRF) NRF-2023R1A2C1006159National Research Foundation of Korea (NRF) RS-2023-00219297National Research Foundation of Korea (NRF) RS-2025-00573098National Research Foundation of Korea (NRF) RS-2025-18362970
6 · The paper itself

Abstract

Metabolic rewiring, a defining hallmark of cancer, sustains cell proliferation and biosynthesis while coordinating adaptive interactions within the tumor microenvironment (TME). Recent advances reveal that metabolism in the TME-comprising stromal, immune and endothelial components forms a complex metabolic network in which intercellular competition, cooperation and plasticity profoundly influence tumor progression and therapeutic responses. Here we integrate emerging evidence on the organizational principles of amino acid and lipid metabolism within the TME, emphasizing how nutrient fluxes shape immune evasion, therapeutic resistance and metabolic symbiosis. We highlight key mechanisms through which cancer and nonmalignant cells engage in reciprocal nutrient manipulation, focusing on glutamine, arginine, tryptophan, branched-chain amino acids and lipids. The dual roles of these metabolites in immune regulation and tumor growth reveal the limitations of traditional single-pathway targeting and advocate for a network-centric therapeutic approach. We further discuss how metabolite-derived signaling and epigenetic regulation reinforce cell state transitions and immune suppression. Current and emerging therapeutic strategies, including multitarget combinations and immune-metabolic synergies, are evaluated alongside translational challenges. Finally, we underscore the need for spatial metabolomics, liquid biopsy platforms and artificial intelligence-driven modeling to map nutrient competition and cooperative exchange within the TME, offering new opportunities for precision metabolic interventions.

Indexed as

Amino AcidsLipid MetabolismMetabolic Networks and PathwaysNeoplasmsTumor MicroenvironmentAnimalsDisease ProgressionHumansMetabolic ReprogrammingSignal TransductionAmino Acids

Identifiers

PMID41826648
PMCPMC13144319

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.