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...
Autores principales: | , , , , , , , , , , , , , |
---|---|
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 |