Literature DB >> 24477766

Harnessing system models of cell death signalling for cytotoxic chemotherapy: towards personalised medicine approaches?

Heinrich J Huber1, Ross G McKiernan, Jochen H M Prehn.   

Abstract

Most cytotoxic chemotherapeutics are believed to kill cancer cells by inducing apoptosis. Understanding the factors that contribute to impairment of apoptosis in cancer cells is therefore critical for the development of novel therapies that circumvent the widespread chemoresistance. Apoptosis, however, is a complex and tightly controlled process that can be induced by different classes of chemotherapeutics targeting different signalling nodes and pathways. Moreover, apoptosis initiation and apoptosis execution strongly depend on patient-specific, genomic and proteomic signatures. Here, we will review recent translational studies that suggest a critical link between the sensitivity of cancer cells to initiate apoptosis and clinical outcome. Next we will discuss recent advances in the field of system modelling of apoptosis pathways for the prediction of treatment responses. We propose that initiation of mitochondrial apoptosis, defined as the process of mitochondrial outer membrane permeabilisation (MOMP), is a dose-dependent decision process that allows for a prediction of individual therapy responses and therapeutic windows. We provide evidence in contrast that apoptosis execution post-MOMP may be a binary decision that dictates whether apoptosis is executed or not. We will discuss the implications of this concept for the future use of novel adjuvant therapeutics that specifically target apoptosis signalling pathways or which may be used to reduce the impact of cell-to-cell heterogeneity on therapy responses. Finally, we will discuss the technical and regulatory requirements surrounding the use and implications of system-based patient stratification tools for the future of personalised oncology.

Entities:  

Mesh:

Year:  2014        PMID: 24477766     DOI: 10.1007/s00109-014-1126-5

Source DB:  PubMed          Journal:  J Mol Med (Berl)        ISSN: 0946-2716            Impact factor:   4.599


  108 in total

1.  A mathematical model of caspase function in apoptosis.

Authors:  M Fussenegger; J E Bailey; J Varner
Journal:  Nat Biotechnol       Date:  2000-07       Impact factor: 54.908

Review 2.  BCL-2 family antagonists for cancer therapy.

Authors:  Guillaume Lessene; Peter E Czabotar; Peter M Colman
Journal:  Nat Rev Drug Discov       Date:  2008-12       Impact factor: 84.694

3.  Quantitative analysis of pathways controlling extrinsic apoptosis in single cells.

Authors:  John G Albeck; John M Burke; Bree B Aldridge; Mingsheng Zhang; Douglas A Lauffenburger; Peter K Sorger
Journal:  Mol Cell       Date:  2008-04-11       Impact factor: 17.970

4.  Systems analysis of effector caspase activation and its control by X-linked inhibitor of apoptosis protein.

Authors:  Markus Rehm; Heinrich J Huber; Heiko Dussmann; Jochen H M Prehn
Journal:  EMBO J       Date:  2006-08-24       Impact factor: 11.598

5.  Efficacy and toxicity of two schedules of bortezomib in patients with recurrent or refractory follicular lymphoma: a randomised phase II trial from the Groupe d'Etude des Lymphomes de l'Adulte (GELA).

Authors:  Vincent Ribrag; Hervé Tilly; Olivier Casasnovas; André Bosly; Reda Bouabdallah; Richard Delarue; François Boue; Dominique Bron; Pierre Feugier; Corinne Haioun; Firtz Offner; Bertrand Coiffier
Journal:  Eur J Cancer       Date:  2012-12-25       Impact factor: 9.162

6.  Caspase-9 can be activated without proteolytic processing.

Authors:  H R Stennicke; Q L Deveraux; E W Humke; J C Reed; V M Dixit; G S Salvesen
Journal:  J Biol Chem       Date:  1999-03-26       Impact factor: 5.157

7.  In vivo systems analysis identifies spatial and temporal aspects of the modulation of TNF-α-induced apoptosis and proliferation by MAPKs.

Authors:  Ken S Lau; Alwin M Juchheim; Kimberly R Cavaliere; Sarah R Philips; Douglas A Lauffenburger; Kevin M Haigis
Journal:  Sci Signal       Date:  2011-03-22       Impact factor: 8.192

8.  Systems analysis of cancer cell heterogeneity in caspase-dependent apoptosis subsequent to mitochondrial outer membrane permeabilization.

Authors:  Jasmin Schmid; Heiko Dussmann; Gerhardt J Boukes; Lorna Flanagan; Andreas U Lindner; Carla L O'Connor; Markus Rehm; Jochen H M Prehn; Heinrich J Huber
Journal:  J Biol Chem       Date:  2012-10-04       Impact factor: 5.157

9.  Relative mitochondrial priming of myeloblasts and normal HSCs determines chemotherapeutic success in AML.

Authors:  Thanh-Trang Vo; Jeremy Ryan; Ruben Carrasco; Donna Neuberg; Derrick J Rossi; Richard M Stone; Daniel J Deangelo; Mark G Frattini; Anthony Letai
Journal:  Cell       Date:  2012-10-12       Impact factor: 41.582

10.  Exploring the contextual sensitivity of factors that determine cell-to-cell variability in receptor-mediated apoptosis.

Authors:  Suzanne Gaudet; Sabrina L Spencer; William W Chen; Peter K Sorger
Journal:  PLoS Comput Biol       Date:  2012-04-26       Impact factor: 4.475

View more
  7 in total

Review 1.  Regulation of apoptosis in health and disease: the balancing act of BCL-2 family proteins.

Authors:  Rumani Singh; Anthony Letai; Kristopher Sarosiek
Journal:  Nat Rev Mol Cell Biol       Date:  2019-03       Impact factor: 94.444

Review 2.  Doxorubicin-induced chronic dilated cardiomyopathy-the apoptosis hypothesis revisited.

Authors:  Cynthia Kankeu; Kylie Clarke; Egle Passante; Heinrich J Huber
Journal:  J Mol Med (Berl)       Date:  2016-12-08       Impact factor: 4.599

3.  Lowering Low-Density Lipoprotein Particles in Plasma Using Dextran Sulphate Co-Precipitates Procoagulant Extracellular Vesicles.

Authors:  Jiong-Wei Wang; Ya-Nan Zhang; Siu Kwan Sze; Sander M van de Weg; Flora Vernooij; Arjan H Schoneveld; Sock-Hwee Tan; Henri H Versteeg; Leo Timmers; Carolyn S P Lam; Dominique P V de Kleijn
Journal:  Int J Mol Sci       Date:  2017-12-29       Impact factor: 5.923

4.  Response to IL-6 trans- and IL-6 classic signalling is determined by the ratio of the IL-6 receptor α to gp130 expression: fusing experimental insights and dynamic modelling.

Authors:  Heike Reeh; Nadine Rudolph; Ulrike Billing; Henrike Christen; Stefan Streif; Eric Bullinger; Monica Schliemann-Bullinger; Rolf Findeisen; Fred Schaper; Heinrich J Huber; Anna Dittrich
Journal:  Cell Commun Signal       Date:  2019-05-17       Impact factor: 5.712

Review 5.  Exosomes: emerging roles in communication between blood cells and vascular tissues during atherosclerosis.

Authors:  Heinrich J Huber; Paul Holvoet
Journal:  Curr Opin Lipidol       Date:  2015-10       Impact factor: 4.776

Review 6.  Programmed Cell Death in the Pathogenesis of Influenza.

Authors:  Daisuke Fujikura; Tadaaki Miyazaki
Journal:  Int J Mol Sci       Date:  2018-07-16       Impact factor: 5.923

Review 7.  Can Systems Biology Advance Clinical Precision Oncology?

Authors:  Andrea Rocca; Boris N Kholodenko
Journal:  Cancers (Basel)       Date:  2021-12-16       Impact factor: 6.575

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.