Evidence map›Paper›PMID 42401541›Full record

ReviewCell death discovery2026

Unlocking the ferroptotic window: Lipidomic rewiring and metabolic addiction in EMT-driven breast cancer resistance.

Jian Lu, Chrysa Filippopoulou, Junjie Sun, Pengtao Hu, Chaoyue Pan, Xiaoyan Wu, Xidong Gu, Xiaohong Xie, Qijin Shu, Georgios Giamas

Abstract readReview
In one paragraph

Review in Cell death discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jian Lu *International Oncology Institute, The First Affiliated Hospital of Zhejiang Chinese Medical University, Oncology Department of the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China. jian.lu@zcmu.edu.cn.ORCID http://orcid.org/0000-0002-6090-2490
Chrysa Filippopoulou *International Oncology Institute, The First Affiliated Hospital of Zhejiang Chinese Medical University, Oncology Department of the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Junjie SunDepartment of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Pengtao HuDepartment of General Surgery, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Chaoyue PanInternational Oncology Institute, The First Affiliated Hospital of Zhejiang Chinese Medical University, Oncology Department of the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Xiaoyan WuInternational Oncology Institute, The First Affiliated Hospital of Zhejiang Chinese Medical University, Oncology Department of the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Xidong GuDepartment of Breast Surgery, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Xiaohong XieDepartment of Breast Surgery, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Qijin ShuInternational Oncology Institute, The First Affiliated Hospital of Zhejiang Chinese Medical University, Oncology Department of the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
Georgios GiamasInternational Oncology Institute, The First Affiliated Hospital of Zhejiang Chinese Medical University, Oncology Department of the First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China. g.giamas@sussex.ac.uk.ORCID http://orcid.org/0000-0002-4417-2707

Funding

Zhejiang Chinese Medical University (ZCMU) 2025RCZXZK62Zhejiang Chinese Medical University (ZCMU) GOD25SH05
6 · The paper itself

Abstract

Breast cancer (BC) continues to pose a substantial clinical challenge due to acquired resistance induced by epithelial-mesenchymal transition (EMT). Nevertheless, this adaptive evolution, which frequently takes the form of a highly plastic, partial EMT (p-EMT) state, induces a profound lipidomic reconfiguration and iron dysregulation, thereby inadvertently revealing a targetable metabolic vulnerability: ferroptosis. In this Perspective, we outline the hierarchical molecular logic that governs this susceptibility, emphasizing the manner in which progressive p53 mutations (ranging from loss-of-function to gain-of-function) transform p-EMT cells from passive sensitization to an extreme "metabolic addiction." We argue that conventional "occupancy-driven" kinase inhibitors are unable to eliminate these resistant populations because they are unable to dismantle the essential non-catalytic scaffolding functions of core EMT-induced kinases (EIKs). As a result, we suggest a paradigm shift toward a chemical biology approach that is "event-driven." The p-EMT infrastructure can be irreversibly destroyed and resistant cells can be compelled to undergo catastrophic lipid peroxidation by deploying proteolysis targeting chimeras (PROTACs) against concealed scaffold super-hubs, particularly AXL and lemur tail kinase 3 (LMTK3), which are indispensable for stabilizing the hybrid p-EMT infrastructure. Additionally, we investigate the spatiotemporal modulation of this synthetic lethal axis by the tumor microenvironment (TME) through matrix mechanics and extracellular vesicles (EVs). Ultimately, we suggest a multimodal liquid biopsy strategy that couples specific oxidized phospholipid signatures with circulating tumor DNA (ctDNA) kinetics to precisely monitor in vivo ferroptotic events. This approach offers a transformative roadmap for eradicating minimal residual disease (MRD) and surmounting BC dormancy.

Identifiers

PMID42401541
PMCPMC13612581

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.