Evidence map›Paper›PMID 37251943›Full record

ArticleFrontiers in oncology2023

A nomogram based on cuproptosis-related genes predicts 7-year relapse-free survival in patients with estrogen receptor-positive early breast cancer.

Yu Fan, Chuanxu Luo, Yu Wang, Zhu Wang, Chengshi Wang, Xiaorong Zhong, Kejia Hu, Yanping Wang, Donghao Lu, Hong Zheng

Abstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Elucidating the evolving role of cuproptosis in breast cancer progression.International journal of biological sciences · 2024
    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

10 authors.

Yu FanBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China.
Chuanxu LuoBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China.
Yu WangBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China.
Zhu WangBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China.
Chengshi WangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Xiaorong ZhongBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China.
Kejia HuWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Yanping WangBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China.
Donghao LuWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Hong ZhengBreast Center and Multi-omics Laboratory of Breast Diseases, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Excess copper induces cell death by binding to lipoylated components of the tricarboxylic acid cycle. Although a few studies have examined the relationship between cuproptosis-related genes (CRGs) and breast cancer prognosis, reports on estrogen receptor-positive (ER+) breast cancer are lacking. Herein, we aimed to analyze the relationship between CRGs and outcomes in patients with ER+ early breast cancer (EBC). Methods: We conducted a case-control study among patients with ER+ EBC presenting poor and favorable invasive disease-free survival (iDFS) at West China Hospital. Logistic regression analysis was performed to establish the association between CRG expression and iDFS. A cohort study was performed using pooled data from three publicly available microarray datasets in the Gene Expression Omnibus database. Subsequently, we constructed a CRG score model and a nomogram to predict relapse-free survival (RFS). Finally, the prediction performance of the two models was verified using training and validation sets. Results: In this case-control study, high expression of Conclusions: The CRG score, combined with other clinical features, could afford a practical long-term outcome predictor in patients with ER+ EBC.

Indexed as

breast cancercuproptosis-related genesER positivenomogramRFS

Identifiers

PMID37251943
PMCPMC10213626

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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.