Evidence map›Paper›PMID 35979353›Full record

ArticleFrontiers in immunology2022

Prognostic analysis of cuproptosis-related gene in triple-negative breast cancer.

Shengnan Sha, Luyi Si, Xinrui Wu, Yuanbiao Chen, Hui Xiong, Ying Xu, Wangrui Liu, Haijun Mei, Tao Wang, Mei Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 1 pooled it
21.3field-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

82 citing papers in PubMed, 1 synthesis or guideline pooled it, 138 citations in OpenAlex.

  1. Pooled it
  2. Effects of Telomere Related Senescence-Genes in Cervical Cancer.Reproductive sciences (Thousand Oaks, Calif.) · 2026
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  17. AKT1 Phosphorylates FDX1 to Promote Cuproptosis Resistance in Triple-Negative Breast Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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22 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

10 authors at 5 institutions in 1 country.

Shengnan ShaDepartment of Oncology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Luyi SiDepartment of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Xinrui WuDepartment of Clinical Medicine, Medical School of Nantong University, Nantong, China.
Yuanbiao ChenDepartment of Neurosurgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Hui XiongDepartment of Cardiothoracic Surgery, Affiliated Hospital of Nantong, University, Medical School of Nantong University, Nantong, China.
Ying XuDepartment of Rehabilitation Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Wangrui LiuDepartment of Neurosurgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China.
Haijun MeiDepartment of General Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Tao WangDepartment of Interventional Oncology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mei LiDepartment of Oncology, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, China.
Nantong University · CNAffiliated Hospital of Nantong University · CNAffiliated Hospital of Youjiang Medical University for Nationalities · CNRenji Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cuproptosis is a copper-dependent cell death mechanism that is associated with tumor progression, prognosis, and immune response. However, the potential role of cuproptosis-related genes (CRGs) in the tumor microenvironment (TME) of triple-negative breast cancer (TNBC) remains unclear. Patients and methods: In total, 346 TNBC samples were collected from The Cancer Genome Atlas database and three Gene Expression Omnibus datasets, and were classified using R software packages. The relationships between the different subgroups and clinical pathological characteristics, immune infiltration characteristics, and mutation status of the TME were examined. Finally, a nomogram and calibration curve were constructed to predict patient survival probability to improve the clinical applicability of the CRG_score. Results: We identified two CRG clusters with immune cell infiltration characteristics highly consistent with those of the immune-inflamed and immune-desert clusters. Furthermore, we demonstrated that the gene signature can be used to evaluate tumor immune cell infiltration, clinical features, and prognostic status. Low CRG_scores were characterized by high tumor mutation burden and immune activation, good survival probability, and more immunoreactivity to CTLA4, while high CRG_scores were characterized by the activation of stromal pathways and immunosuppression. Conclusion: This study revealed the potential effects of CRGs on the TME, clinicopathological features, and prognosis of TNBC. The CRGs were closely associated with the tumor immunity of TNBC and are a potential tool for predicting patient prognosis. Our data provide new directions for the development of novel drugs in the future.

Indexed as

ApoptosisTriple Negative Breast NeoplasmsBiomarkers, TumorCopperHumansNomogramsPrognosisTumor MicroenvironmentBiomarkers, TumorCoppercuproptosisimmunotherapytriple-negative breast cancertumor microenvironmenttumor mutation burden

Identifiers

PMID35979353
PMCPMC9376234
OpenAlexW4289130864

What OpenQuestion 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 OpenQuestion graph.