Evidence map›Paper›PMID 40493339›Full record

ArticleJournal of physiology and biochemistry2025

Molecular biomarkers for the prognosis of breast cancer: role of amino acid metabolism genes.

Yudong Zhou, Shibo Yu, Lizhe Zhu, Yalong Wang, Chenglong Duan, Danni Li, Jinsui Du, Jiaqi Zhang, Jianing Zhang, Ruichao Ma and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of physiology and biochemistry, 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. Genetics of epilepsy.Experimental biology and medicine (Maywood, N.J.) · 2026
    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

13 authors.

Yudong Zhou *Department of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaan'xi Province, China.
Shibo Yu *Department of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaan'xi Province, China.
Lizhe ZhuDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaan'xi Province, China.
Yalong WangSchool of Medicine, Shaan'xi Province, Xi'an Jiaotong University, Xi'an, 710061, China.
Chenglong DuanDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaan'xi Province, China.
Danni LiDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaan'xi Province, China.
Jinsui DuDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaan'xi Province, China.
Jiaqi ZhangDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaan'xi Province, China.
Jianing ZhangDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaan'xi Province, China.
Ruichao MaBeijing university of post and telecommunication, Beijing, 100876, China.
Jianjun HeDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaan'xi Province, China. chinahjj@163.com.
Yu RenDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaan'xi Province, China. renyyyyy@126.com.
Bin WangDepartment of Breast Surgery, the First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaan'xi Province, China. february111@163.com.

Funding

National Natural Science Foundation of China 82172798Natural Science Plan in Shaanxi Province of China 2024SF-ZDCYL-02-08
6 · The paper itself

Abstract

The development of precise molecular biomarkers for breast cancer prognosis holds immense potential to improve treatment outcomes. This study aimed to investigate the role of amino acid metabolism genes as predictive markers for breast cancer prognosis and their association with the immune-tumour microenvironment. By employing advanced machine learning algorithms and bioinformatics analysis techniques, the impact of amino acid metabolism-related genes (AAMRGs) on the immune status and overall survival of patients with breast cancer was examined. An AAMRG-based risk model was established to assess the prognostic significance. Validated risk models (AIMP2, IYD, and QARS1) accurately predicted patient outcomes [1 y: 0.87 (0.96-0.78); 3 y: 0.82 (0.87-0.76); 5 y: 0.80 (0.86-0.75)]. Furthermore, this study revealed evidence suggesting that QARS1 may influence breast cancer cell proliferation through methionine metabolism. This analysis provides valuable insights into the mechanisms of breast cancer, emphasizing the significance of AAMRGs as prognostic biomarkers and potential therapeutic targets for optimizing personalized treatment strategies.

Indexed as

Amino AcidsBiomarkers, TumorBreast NeoplasmsComputational BiologyFemaleGene Expression Regulation, NeoplasticHumansMachine LearningMiddle AgedPrognosisTumor MicroenvironmentAmino AcidsBiomarkers, TumorAmino acid metabolism-related genesBreast cancerImmune microenvironmentMachine learningPrognosis

Identifiers

PMID40493339
PMCPMC12279611

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.