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Cell
Article . 2026 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Cell death in cancer

Authors: Marcus Conrad; Andreas Strasser; Philipp J. Jost; Junying Yuan; Feng Shao; Peter Vandenabeele; Adam Wahida;

Cell death in cancer

Abstract

Evasion of cell death” is a hallmark of cancer, enabling transformed cells to withstand oncogenic and therapeutic stress. Restoring cancer cell death is an appealing strategy but requires a deep understanding of cell death programs. Over the past two decades, the cell death field has expanded from apoptosis to include necroptosis, pyroptosis, ferroptosis, and other emerging programs, reshaping cancer biology and revealing therapeutic opportunities. While apoptosis remains the primary radiation- and chemotherapy-induced cell death program, non-apoptotic programs can drive inflammatory responses and orchestrate the interplay among tumor, stroma, and immune components, influencing immunotherapy outcomes. Ferroptosis, an iron-dependent, lipid peroxidation-driven cell death modality, lacks a canonical induction signal and arises from perturbations in lipid, iron, and redox metabolism. This review presents a unified framework for understanding the roles of major cell death programs in cancer development, progression, and treatment response, as well as addressing resistance to cancer cell death and immune suppression. “Our bodies are made of cells that live, and just as surely, of cells that must die.” –S. Brennerv

Country
Belgium
Related Organizations
Keywords

PROGRAMMED NECROSIS, CYTOCHROME-C RELEASE, CHRONIC LYMPHOCYTIC-LEUKEMIA, ANTI-APOPTOTIC MCL-1, Biology and Life Sciences, BCL-2 FAMILY PROTEINS, TUMOR-NECROSIS, GASDERMIN-D, Medicine and Health Sciences, MIXED LINEAGE KINASE, INFLAMMATORY CASPASES, DOMAIN-LIKE PROTEIN

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    15
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Top 10%
Average
Top 10%
Green
hybrid