Evidence map›Paper›PMID 37340191›Full record

ArticleJournal of cancer research and clinical oncology2023

Prognostic value of amino acid metabolism-related gene expression in invasive breast carcinoma.

Zilin Wang, Xinyu Guo, Jingge Lian, Ying Ji, Kangan Li

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. 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
0.5field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. [Cephaeline attenuates malignant biological behaviors of colorectal cancer by regulating the Ras signaling pathway].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026
    Article
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Zilin Wang *Department of Radiology, School of Medicine, Shanghai General Hospital, Shanghai Jiaotong University, No. 650 New Songjiang Road, Shanghai, 200080, People's Republic of China.
Xinyu Guo *Department of Radiology, School of Medicine, Shanghai General Hospital, Shanghai Jiaotong University, No. 650 New Songjiang Road, Shanghai, 200080, People's Republic of China.
Jingge LianDepartment of Radiology, School of Medicine, Shanghai General Hospital, Shanghai Jiaotong University, No. 650 New Songjiang Road, Shanghai, 200080, People's Republic of China.
Ying JiDepartment of Radiology, School of Medicine, Shanghai General Hospital, Shanghai Jiaotong University, No. 650 New Songjiang Road, Shanghai, 200080, People's Republic of China.
Kangan LiDepartment of Radiology, School of Medicine, Shanghai General Hospital, Shanghai Jiaotong University, No. 650 New Songjiang Road, Shanghai, 200080, People's Republic of China. kangan.li@shsmu.edu.cn.
Songjiang District Central Hospital · CNShanghai First People's Hospital · CN

Funding

National Natural Science Foundation of China 81972872
6 · The paper itself

Abstract

backgroundAn increasing number of studies indicated that metabolic reprogramming of amino acid metabolism may either promote or inhibit tumor progression. The purpose of this study was to investigate the ability of a gene risk signature associated with amino acid metabolism to predict the prognosis and immune characteristics of invasive breast carcinoma.

methodsLASSO Cox regression analysis was performed to construct and validate the prognostic risk signature based on the expression of 9 amino acid metabolism-related genes. The predictive value of the signature, immune characteristics, and chemotherapeutic drugs was also predicted. Finally, 9 significant genes were examined in MDA-MB-231 and MCF-7 cells, and the predicted chemotherapeutic drugs were also verified.

resultsThe prognosis of the low-risk group was better than that of the high-risk group. The areas under the curve (AUCs) at 1, 2, and 3 years were 0.852, 0.790, and 0.736, respectively. In addition, the GSEA results for KEGG and GO revealed that samples with a high-risk score exhibited a variety of highly malignant manifestations. The high-risk group was characterized by an increased number of M2 macrophages, a high level of tumor purity, low levels of APC co-stimulation, cytolytic activity, HLA, para-inflammation, and type I IFN response. Quantitative Real-Time Polymerase Chain Reaction (qRT-PCR) confirmed that MDA-MB-231 and MCF-7 cells express 9 amino acid metabolism-related genes differently. In addition, cell experiments were conducted to examine the effect of cephaeline-induced on cell viability, migration ability, and protein expression of the PI3K/AKT signaling pathway and HIF-1α.

conclusionWe established a risk signature based on 9 amino acid metabolism-related genes for invasive breast carcinoma. Further analyses revealed that this risk signature is superior to other clinical indexes in survival prediction and that the subgroups identified by the risk signature exhibit distinct immune characteristics. Cephaeline was determined to be a superior option for patients in high-risk groups.

Indexed as

Breast NeoplasmsPhosphatidylinositol 3-KinasesAmino AcidsFemaleGene ExpressionHumansPrognosisAmino AcidsPhosphatidylinositol 3-KinasesAmino acid metabolism-related genesDrug predictionInvasive breast carcinomaPrognosisRisk signatureTCGA

Identifiers

PMID37340191
PMCPMC11798291
OpenAlexW4381469623

What Socratic holds

Textmetadata
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.