Evidence map›Paper›PMID 38218942›Full record

ReviewCell death & disease2024

Amino acid metabolism in tumor biology and therapy.

Jie Chen, Likun Cui, Shaoteng Lu, Sheng Xu

Open access · goldAbstract readReview
In one paragraph

Review in Cell death & disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 1 pooled it
56.2field-weighted citation impact, top 1% 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

167 citing papers in PubMed, 1 synthesis or guideline pooled it, 197 citations in OpenAlex.

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  20. Leveraging Macrophage Metabolic Reprogramming for Enhanced Anti-Tumor Immunity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review

107 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Jie Chen *National Key Lab of Immunity and Inflammation and Institute of Immunology, Naval Medical University/Second Military Medical University, Shanghai, 200433, China.
Likun Cui *National Key Lab of Immunity and Inflammation and Institute of Immunology, Naval Medical University/Second Military Medical University, Shanghai, 200433, China.
Shaoteng LuNational Key Lab of Immunity and Inflammation and Institute of Immunology, Naval Medical University/Second Military Medical University, Shanghai, 200433, China.
Sheng XuNational Key Lab of Immunity and Inflammation and Institute of Immunology, Naval Medical University/Second Military Medical University, Shanghai, 200433, China. xusheng@immunol.org.ORCID 0000-0002-9547-8052
Second Military Medical University · CN

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82071789, 31870910
6 · The paper itself

Abstract

Amino acid metabolism plays important roles in tumor biology and tumor therapy. Accumulating evidence has shown that amino acids contribute to tumorigenesis and tumor immunity by acting as nutrients, signaling molecules, and could also regulate gene transcription and epigenetic modification. Therefore, targeting amino acid metabolism will provide new ideas for tumor treatment and become an important therapeutic approach after surgery, radiotherapy, and chemotherapy. In this review, we systematically summarize the recent progress of amino acid metabolism in malignancy and their interaction with signal pathways as well as their effect on tumor microenvironment and epigenetic modification. Collectively, we also highlight the potential therapeutic application and future expectation.

Indexed as

NeoplasmsSignal TransductionAmino AcidsBiologyCarcinogenesisCell Transformation, NeoplasticHumansTumor MicroenvironmentAmino Acids

Identifiers

PMID38218942
PMCPMC10787762
OpenAlexW4390840264

What Socratic 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 Socratic graph.