Evidence map›Paper›PMID 41053050›Full record

ReviewCell death discovery2025

Targeting the redox-programmed cell death axis in breast cancer: from molecular mechanisms to therapeutic resistance.

Yiqiao Wen, Zhixuan Lin, Zhongwei Jiang, Yang Li, Tianyi Wu

Abstract readReview
In one paragraph

Review in Cell death discovery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. 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.

Yiqiao Wen *The Forth Clinical College of China Medical University, Shenyang, China.
Zhixuan Lin *The Forth Clinical College of China Medical University, Shenyang, China.
Zhongwei JiangDepartment of Urology, The Third Affiliated Hospital of Shenyang Medical College (Shenyang 242 Hospital), Shenyang, China.
Yang LiDepartment of Gynecology, Shengjing Hospital of China Medical University, Shenyang, China. liyang@sj-hospital.org.ORCID http://orcid.org/0009-0007-3390-6377
Tianyi WuDepartment of Pathophysiology, College of Basic Medical Sciences, China Medical University, Shenyang, China. tywu@cmu.edu.cn.ORCID http://orcid.org/0009-0006-4471-1762

Funding

China Medical University (CMU) 110/1210616002
6 · The paper itself

Abstract

Breast cancer, the most prevalent malignancy among females, threatens public health worldwide. Patients with breast cancer need personalised treatment strategies on the basis of their distinct molecular characteristics due to the unique epidemiological patterns and high heterogeneity of breast cancer, which limits therapeutic efficacy and poses significant challenges to current treatments. The underlying reasons may involve complex interactions and alterations in various cell death pathways. Currently, most studies and therapeutic agents focus on a single type of cell death, whereas opportunities related to other cell death pathways are typically overlooked. Therefore, identifying the predominant type of cell death, understanding the transitions between different cell death modalities during treatment, and developing novel therapies are crucial. In this review, we summarise the dynamic balance between reactive oxygen species (ROS) production and clearance, as well as the characteristics of various forms of cell death induced by ROS, including pyroptosis, apoptosis, necroptosis, autophagy, ferroptosis, cuproptosis, disulfidoptosis, oxeiptosis, and epigenetic regulation of these types of cell death. Additionally, we explored a novel cell death pathway called PANoptosis. This review sheds new light on the treatment of breast cancer from the perspective of nanotechnology and the development of combination therapies.

Identifiers

PMID41053050
PMCPMC12500867

What Socratic 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 Socratic graph.