Evidence map›Paper›PMID 37455906›Full record

ArticleFrontiers in endocrinology2023

Exploring PANoptosis in breast cancer based on scRNA-seq and bulk-seq.

Puxing He, Yixuan Ma, Yaolu Wu, Qing Zhou, Huan Du

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
  2. Article
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  6. Review
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  9. Review
  10. PANoptosis: A novel therapeutic target in kidney disease (Review).International journal of molecular medicine · 2025
    Review
  11. Article
  12. Review
  13. Article
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  15. PANoptosis: a potential target of atherosclerotic cardiovascular disease.Apoptosis : an international journal on programmed cell death · 2025
    Review
  16. Article
  17. Article
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  19. Review
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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.

Puxing HeDepartment of Thyroid and Breast Surgery, Affiliated Hospital of Yan 'an University, Yan'an, Shaanxi, China.
Yixuan MaSchool of Basic Medicine, Yan 'an University, Yan'an, Shaanxi, China.
Yaolu WuDepartment of Thyroid and Breast Surgery, Affiliated Hospital of Yan 'an University, Yan'an, Shaanxi, China.
Qing ZhouDepartment of Thyroid and Breast Surgery, Affiliated Hospital of Yan 'an University, Yan'an, Shaanxi, China.
Huan DuDepartment of Thyroid and Breast Surgery, Affiliated Hospital of Yan 'an University, Yan'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: PANoptosis, a cell death pathway involving pyroptosis, apoptosis, and necroptosis, is pivotal in the development of malignancy. However, in the field of breast cancer, the interaction between PANoptosis and tumor cells has not been thoroughly explored. Methods: We downloaded breast cancer data and GSE176078 single-cell sequencing dataset from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases to obtain PANoptosis-associated genes. To construct prognostic models, COX and LASSO regression was used to identify PANoptosis-associated genes with prognostic value. Finally, immune infiltration analysis and differential analysis of biological functions were performed. Results: Risk grouping was performed according to the prognostic model constructed by COX regression and LASSO regression. The low-risk group showed a better prognosis (P < 0.05) and possessed higher levels of immune infiltration and expression of immune checkpoint-related genes. In addition, the lower the risk score, the higher the degree of microsatellite instability (MSI). Meanwhile, radixin (RDX), the gene with the highest hazard ratio (HR) value among PANoptosis prognosis-related genes, was explicitly expressed in artery Iendothelial cells (ECs) and was widely involved in signaling pathways such as immune response and cell proliferation, possessing rich biological functions. Conclusion: We demonstrated the potential of PANoptosis-based molecular clustering and prognostic features in predicting the survival of breast cancer patients. Furthermore, this study has led to a deeper understanding of the role of PANoptosis in breast cancer and has the potential to provide new directions for immunotherapy of breast cancer.

Indexed as

Breast NeoplasmsApoptosisArteriesCell DeathFemaleHumansSingle-Cell Gene Expression Analysisbreast cancerimmunotherapyPANoptosisScRNA-seqtumor immunity

Identifiers

PMID37455906
PMCPMC10338225

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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.