Evidence mapPaperPMID 41284166Full record

ReviewDiscover oncology2025

Amino acid metabolic reprogramming drives pathogenesis and therapy in hematologic malignancies.

Dexiang Ren, Rong Liu, Wei Li, Linzhou Li, Xueyin Lv, Xiaojun Xia, Xudong Lei

Abstract readReview
In one paragraph

Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Dexiang RenSchool of Clinical Chinese Medicine, Gansu University of Chinese Medicine, Lanzhou, People's Republic of China.
Rong LiuComprehensive Internal Medicine, The 940th Hospital of Joint Logistics Support Force of the Chinese People's Liberation Army, Ward 1, Lanzhou, People's Republic of China.
Wei LiSchool of Clinical Chinese Medicine, Gansu University of Chinese Medicine, Lanzhou, People's Republic of China.
Linzhou LiSchool of Clinical Chinese Medicine, Gansu University of Chinese Medicine, Lanzhou, People's Republic of China.
Xueyin LvSchool of Clinical Chinese Medicine, Gansu University of Chinese Medicine, Lanzhou, People's Republic of China.
Xiaojun XiaIntegrated Traditional Chinese and Western Medicine Oncology Department, Gansu Provincial Cancer Hospital, Lanzhou, People's Republic of China.
Xudong LeiIntegrated Traditional Chinese and Western Medicine Oncology Department, Gansu Provincial Cancer Hospital, Lanzhou, People's Republic of China. leixudong0919@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematological malignancies exhibit distinct patterns of amino acid metabolic reprogramming, which support uncontrolled proliferation, immune escape, and therapy resistance. Rather than merely fueling biosynthesis, amino acid metabolism intricately modulates tumor progression and therapeutic responses through interactions with signaling pathways such as mTOR, β-catenin/c-Myc, and NF-κB. This review emphasizes the rewired utilization of key amino acids-including glutamine, arginine, leucine, tryptophan, and phenylalanine-across leukemia, lymphoma, and multiple myeloma, and discusses how these changes orchestrate immune suppression and redox imbalance. Emerging studies reveal that metabolic vulnerabilities can be therapeutically exploited via enzyme depletion, transport inhibition, or combination regimens with immunotherapies and mTOR inhibitors. Moreover, amino acid-driven drug resistance mechanisms, particularly involving stromal support and transcriptional reprogramming, pose both challenges and opportunities for next-generation treatment design. By decoding the complex metabolic-immune-tumor network, we highlight strategic interventions that leverage amino acid metabolism as a therapeutic axis in hematological cancers.

Indexed as

Amino acid dependenciesHematological malignanciesMetabolic reprogrammingTargeted metabolic therapiesTherapeutic resistance mechanismsTumor–Immune metabolic crosstalk

Identifiers

PMID41284166
PMCPMC12748384

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.