Evidence map›Paper›PMID 36059516›Full record

ArticleFrontiers in immunology2022

Identification of cuproptosis-related subtypes, characterization of tumor microenvironment infiltration, and development of a prognosis model in breast cancer.

Zhi Li, Hua Zhang, Xixi Wang, Qun Wang, Jiapeng Xue, Yun Shi, Minghua Wang, Geng Wang, Jianquan Zhang

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 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
17.2field-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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The emerging roles of disulfidptosis in cancer.Apoptosis : an international journal on programmed cell death · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cuproptosis-related geneRadiology and oncology · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Mechanisms of cuproptosis and its relevance to distinct diseases.Apoptosis : an international journal on programmed cell death · 2024
    Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 3 institutions in 1 country.

Zhi LiDepartment of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Hua ZhangDepartment of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Xixi WangDepartment of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Qun WangDepartment of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Jiapeng XueDepartment of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Yun ShiDepartment of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Minghua WangDepartment of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Geng WangDepartment of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China.
Jianquan ZhangDepartment of General Surgery, Affiliated Haikou Hospital of Xiangya Medical College, Central South Univesity, Haikou, China.
Hubei University of Medicine · CNTaihe Hospital · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) is now the most frequent and lethal cancer among women. Cuproptosis is a newly identified programmed cell death process that has been connected to tumor therapeutic sensitivity, patient outcomes, and the genesis of cancer. Cuproptosis-related genes (CRGs) are involved in breast cancer, although their roles and potential mechanisms are still unclear. First, we examined the effect of gene mutations and copy number changes on overall survival in 1168 breast cancer samples. Breast cancer patients were split into two molecular categories as determined by the variation in CRG based on clinicopathological traits, overall survival, and cell-infiltrating traits in tumor microenvironments. In addition, we created and validated a CRG score to calculate breast cancer patients' OS. Finally, we created a comprehensive nomogram for the clinical use of the CRG score. Patients whose CRG scores were low showed increased odds of developing OS, a larger mutation load, and immunological activation than those with high CRG scores. The CRG score, the cancer stem cell index, and the responsiveness to chemotherapy or targeted therapies were also shown to be statistically significantly correlated. Our thorough examination of CRGs in breast cancer patients demonstrated that they may be useful predictors of prognosis, clinical characteristics, and tumor microenvironment. These findings provide fresh insight into CRGs in breast cancer and might inspire brand-new approaches to both diagnosing and treating patients there.

Indexed as

ApoptosisBreast NeoplasmsTumor MicroenvironmentCopperFemaleHumansPrognosisCopperbreast cancerCRGcuprotosisprognosistumor microenvironments

Identifiers

PMID36059516
PMCPMC9437337
OpenAlexW4292369675

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.