Cargando…

Analysis of pulsed cisplatin signalling dynamics identifies effectors of resistance in lung adenocarcinoma

The identification of clinically viable strategies for overcoming resistance to platinum chemotherapy in lung adenocarcinoma has previously been hampered by inappropriately tailored in vitro assays of drug response. Therefore, using a pulse model that closely mimics the in vivo pharmacokinetics of p...

Descripción completa

Detalles Bibliográficos
Autores principales: Hastings, Jordan F, Gonzalez Rajal, Alvaro, Latham, Sharissa L, Han, Jeremy ZR, McCloy, Rachael A, O'Donnell, Yolande EI, Phimmachanh, Monica, Murphy, Alexander D, Nagrial, Adnan, Daneshvar, Dariush, Chin, Venessa, Watkins, D Neil, Burgess, Andrew, Croucher, David R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282820/
https://www.ncbi.nlm.nih.gov/pubmed/32513387
http://dx.doi.org/10.7554/eLife.53367
_version_ 1783544196192272384
author Hastings, Jordan F
Gonzalez Rajal, Alvaro
Latham, Sharissa L
Han, Jeremy ZR
McCloy, Rachael A
O'Donnell, Yolande EI
Phimmachanh, Monica
Murphy, Alexander D
Nagrial, Adnan
Daneshvar, Dariush
Chin, Venessa
Watkins, D Neil
Burgess, Andrew
Croucher, David R
author_facet Hastings, Jordan F
Gonzalez Rajal, Alvaro
Latham, Sharissa L
Han, Jeremy ZR
McCloy, Rachael A
O'Donnell, Yolande EI
Phimmachanh, Monica
Murphy, Alexander D
Nagrial, Adnan
Daneshvar, Dariush
Chin, Venessa
Watkins, D Neil
Burgess, Andrew
Croucher, David R
author_sort Hastings, Jordan F
collection PubMed
description The identification of clinically viable strategies for overcoming resistance to platinum chemotherapy in lung adenocarcinoma has previously been hampered by inappropriately tailored in vitro assays of drug response. Therefore, using a pulse model that closely mimics the in vivo pharmacokinetics of platinum therapy, we profiled cisplatin-induced signalling, DNA-damage and apoptotic responses across a panel of human lung adenocarcinoma cell lines. By coupling this data to real-time, single-cell imaging of cell cycle and apoptosis we provide a fine-grained stratification of response, where a P70S6K-mediated signalling axis promotes resistance on a TP53 wildtype or null background, but not a mutant TP53 background. This finding highlights the value of in vitro models that match the physiological pharmacokinetics of drug exposure. Furthermore, it also demonstrates the importance of a mechanistic understanding of the interplay between somatic mutations and the signalling networks that govern drug response for the implementation of any consistently effective, patient-specific therapy.
format Online
Article
Text
id pubmed-7282820
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher eLife Sciences Publications, Ltd
record_format MEDLINE/PubMed
spelling pubmed-72828202020-06-10 Analysis of pulsed cisplatin signalling dynamics identifies effectors of resistance in lung adenocarcinoma Hastings, Jordan F Gonzalez Rajal, Alvaro Latham, Sharissa L Han, Jeremy ZR McCloy, Rachael A O'Donnell, Yolande EI Phimmachanh, Monica Murphy, Alexander D Nagrial, Adnan Daneshvar, Dariush Chin, Venessa Watkins, D Neil Burgess, Andrew Croucher, David R eLife Cancer Biology The identification of clinically viable strategies for overcoming resistance to platinum chemotherapy in lung adenocarcinoma has previously been hampered by inappropriately tailored in vitro assays of drug response. Therefore, using a pulse model that closely mimics the in vivo pharmacokinetics of platinum therapy, we profiled cisplatin-induced signalling, DNA-damage and apoptotic responses across a panel of human lung adenocarcinoma cell lines. By coupling this data to real-time, single-cell imaging of cell cycle and apoptosis we provide a fine-grained stratification of response, where a P70S6K-mediated signalling axis promotes resistance on a TP53 wildtype or null background, but not a mutant TP53 background. This finding highlights the value of in vitro models that match the physiological pharmacokinetics of drug exposure. Furthermore, it also demonstrates the importance of a mechanistic understanding of the interplay between somatic mutations and the signalling networks that govern drug response for the implementation of any consistently effective, patient-specific therapy. eLife Sciences Publications, Ltd 2020-06-09 /pmc/articles/PMC7282820/ /pubmed/32513387 http://dx.doi.org/10.7554/eLife.53367 Text en © 2020, Hastings et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Cancer Biology
Hastings, Jordan F
Gonzalez Rajal, Alvaro
Latham, Sharissa L
Han, Jeremy ZR
McCloy, Rachael A
O'Donnell, Yolande EI
Phimmachanh, Monica
Murphy, Alexander D
Nagrial, Adnan
Daneshvar, Dariush
Chin, Venessa
Watkins, D Neil
Burgess, Andrew
Croucher, David R
Analysis of pulsed cisplatin signalling dynamics identifies effectors of resistance in lung adenocarcinoma
title Analysis of pulsed cisplatin signalling dynamics identifies effectors of resistance in lung adenocarcinoma
title_full Analysis of pulsed cisplatin signalling dynamics identifies effectors of resistance in lung adenocarcinoma
title_fullStr Analysis of pulsed cisplatin signalling dynamics identifies effectors of resistance in lung adenocarcinoma
title_full_unstemmed Analysis of pulsed cisplatin signalling dynamics identifies effectors of resistance in lung adenocarcinoma
title_short Analysis of pulsed cisplatin signalling dynamics identifies effectors of resistance in lung adenocarcinoma
title_sort analysis of pulsed cisplatin signalling dynamics identifies effectors of resistance in lung adenocarcinoma
topic Cancer Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7282820/
https://www.ncbi.nlm.nih.gov/pubmed/32513387
http://dx.doi.org/10.7554/eLife.53367
work_keys_str_mv AT hastingsjordanf analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT gonzalezrajalalvaro analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT lathamsharissal analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT hanjeremyzr analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT mccloyrachaela analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT odonnellyolandeei analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT phimmachanhmonica analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT murphyalexanderd analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT nagrialadnan analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT daneshvardariush analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT chinvenessa analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT watkinsdneil analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT burgessandrew analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma
AT croucherdavidr analysisofpulsedcisplatinsignallingdynamicsidentifieseffectorsofresistanceinlungadenocarcinoma