Skip to main navigation Skip to search Skip to main content

Prognostic and predictive value of DAMPs and DAMP-associated processes in cancer

  • Jitka Fucikova
  • , Irena Moserova
  • , Linda Urbanova
  • , Lucillia Bezu
  • , Oliver Kepp
  • , Isabelle Cremer
  • , Cyril Salek
  • , Pavel Strnad
  • , Guido Kroemer
  • , Lorenzo Galluzzi
  • , Radek Spisek
  • Sotio
  • Charles University
  • Centre de Recherche des Cordeliers
  • Institut national de la santé et de la recherche médicale
  • Université Paris Cité
  • Sorbonne Université
  • Université Paris-Sud
  • Institute of Hematology and Blood Transfusion
  • Assistance publique – Hôpitaux de Paris

Research output: Contribution to journal › Review article › peer-review

150 Scopus citations

Abstract

It is now clear that human neoplasms form, progress and respond to therapy in the context of an intimate crosstalk with the host immune system. In particular, accumulating evidence demonstrates that the efficacy of most, if not all, chemo- and radiotherapeutic agents commonly employed in the clinic critically depends on the (re)activation of tumor-targeting immune response. One of the mechanisms whereby conventional chemotherapeutics, targeted anticancer agents and radiotherapy can provoke a therapeutically relevant, adaptive immune response against malignant cells is commonly known as "immunogenic cell death" (ICD). Importantly, dying cancer cells are perceived as immunogenic only when they emit a set of immunostimulatory signals upon the activation of intracellular stress response pathways. The emission of these signals, which are generally referred to as "damage-associated molecular patterns" (DAMPs), may therefore predict whether patients will respond to chemotherapy or not, at least in some settings. Here, we review clinical data indicating that DAMPs and DAMP-associated stress responses might have prognostic or predictive value for cancer patients.

Original languageEnglish
Article number402
Pages (from-to)402
JournalFrontiers in immunology
Volume6
Issue numberJUL
DOIs
StatePublished - 2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • ATP
  • Autophagy
  • Calreticulin
  • ER stress response
  • HSPs
  • Type I interferon

Fingerprint

Dive into the research topics of 'Prognostic and predictive value of DAMPs and DAMP-associated processes in cancer'. Together they form a unique fingerprint.

Cite this