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Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer
BACKGROUND: Endometrial cancer (EC) is a major gynecological cancer with increasing incidence. It comprises four molecular subtypes with differing etiology, prognoses, and responses to chemotherapy. In the future, clinical trials testing new single agents or combination therapies will be targeted to...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751371/ https://www.ncbi.nlm.nih.gov/pubmed/35012638 http://dx.doi.org/10.1186/s13073-021-00990-z |
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author | Bonazzi, Vanessa F. Kondrashova, Olga Smith, Deborah Nones, Katia Sengal, Asmerom T. Ju, Robert Packer, Leisl M. Koufariotis, Lambros T. Kazakoff, Stephen H. Davidson, Aimee L. Ramarao-Milne, Priya Lakis, Vanessa Newell, Felicity Rogers, Rebecca Davies, Claire Nicklin, James Garrett, Andrea Chetty, Naven Perrin, Lewis Pearson, John V. Patch, Ann-Marie Waddell, Nicola Pollock, Pamela M. |
author_facet | Bonazzi, Vanessa F. Kondrashova, Olga Smith, Deborah Nones, Katia Sengal, Asmerom T. Ju, Robert Packer, Leisl M. Koufariotis, Lambros T. Kazakoff, Stephen H. Davidson, Aimee L. Ramarao-Milne, Priya Lakis, Vanessa Newell, Felicity Rogers, Rebecca Davies, Claire Nicklin, James Garrett, Andrea Chetty, Naven Perrin, Lewis Pearson, John V. Patch, Ann-Marie Waddell, Nicola Pollock, Pamela M. |
author_sort | Bonazzi, Vanessa F. |
collection | PubMed |
description | BACKGROUND: Endometrial cancer (EC) is a major gynecological cancer with increasing incidence. It comprises four molecular subtypes with differing etiology, prognoses, and responses to chemotherapy. In the future, clinical trials testing new single agents or combination therapies will be targeted to the molecular subtype most likely to respond. As pre-clinical models that faithfully represent the molecular subtypes of EC are urgently needed, we sought to develop and characterize a panel of novel EC patient-derived xenograft (PDX) models. METHODS: Here, we report whole exome or whole genome sequencing of 11 PDX models and their matched primary tumor. Analysis of multiple PDX lineages and passages was performed to study tumor heterogeneity across lineages and/or passages. Based on recent reports of frequent defects in the homologous recombination (HR) pathway in EC, we assessed mutational signatures and HR deficiency scores and correlated these with in vivo responses to the PARP inhibitor (PARPi) talazoparib in six PDXs representing the copy number high/p53-mutant and mismatch-repair deficient molecular subtypes of EC. RESULTS: PDX models were successfully generated from grade 2/3 tumors, including three uterine carcinosarcomas. The models showed similar histomorphology to the primary tumors and represented all four molecular subtypes of EC, including five mismatch-repair deficient models. The different PDX lineages showed a wide range of inter-tumor and intra-tumor heterogeneity. However, for most PDX models, one arm recapitulated the molecular landscape of the primary tumor without major genomic drift. An in vivo response to talazoparib was detected in four copy number high models. Two models (carcinosarcomas) showed a response consistent with stable disease and two models (one copy number high serous EC and another carcinosarcoma) showed significant tumor growth inhibition, albeit one consistent with progressive disease; however, all lacked the HR deficiency genomic signature. CONCLUSIONS: EC PDX models represent the four molecular subtypes of disease and can capture intra-tumor heterogeneity of the original primary tumor. PDXs of the copy number high molecular subtype showed sensitivity to PARPi; however, deeper and more durable responses will likely require combination of PARPi with other agents. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00990-z. |
format | Online Article Text |
id | pubmed-8751371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87513712022-01-12 Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer Bonazzi, Vanessa F. Kondrashova, Olga Smith, Deborah Nones, Katia Sengal, Asmerom T. Ju, Robert Packer, Leisl M. Koufariotis, Lambros T. Kazakoff, Stephen H. Davidson, Aimee L. Ramarao-Milne, Priya Lakis, Vanessa Newell, Felicity Rogers, Rebecca Davies, Claire Nicklin, James Garrett, Andrea Chetty, Naven Perrin, Lewis Pearson, John V. Patch, Ann-Marie Waddell, Nicola Pollock, Pamela M. Genome Med Research BACKGROUND: Endometrial cancer (EC) is a major gynecological cancer with increasing incidence. It comprises four molecular subtypes with differing etiology, prognoses, and responses to chemotherapy. In the future, clinical trials testing new single agents or combination therapies will be targeted to the molecular subtype most likely to respond. As pre-clinical models that faithfully represent the molecular subtypes of EC are urgently needed, we sought to develop and characterize a panel of novel EC patient-derived xenograft (PDX) models. METHODS: Here, we report whole exome or whole genome sequencing of 11 PDX models and their matched primary tumor. Analysis of multiple PDX lineages and passages was performed to study tumor heterogeneity across lineages and/or passages. Based on recent reports of frequent defects in the homologous recombination (HR) pathway in EC, we assessed mutational signatures and HR deficiency scores and correlated these with in vivo responses to the PARP inhibitor (PARPi) talazoparib in six PDXs representing the copy number high/p53-mutant and mismatch-repair deficient molecular subtypes of EC. RESULTS: PDX models were successfully generated from grade 2/3 tumors, including three uterine carcinosarcomas. The models showed similar histomorphology to the primary tumors and represented all four molecular subtypes of EC, including five mismatch-repair deficient models. The different PDX lineages showed a wide range of inter-tumor and intra-tumor heterogeneity. However, for most PDX models, one arm recapitulated the molecular landscape of the primary tumor without major genomic drift. An in vivo response to talazoparib was detected in four copy number high models. Two models (carcinosarcomas) showed a response consistent with stable disease and two models (one copy number high serous EC and another carcinosarcoma) showed significant tumor growth inhibition, albeit one consistent with progressive disease; however, all lacked the HR deficiency genomic signature. CONCLUSIONS: EC PDX models represent the four molecular subtypes of disease and can capture intra-tumor heterogeneity of the original primary tumor. PDXs of the copy number high molecular subtype showed sensitivity to PARPi; however, deeper and more durable responses will likely require combination of PARPi with other agents. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13073-021-00990-z. BioMed Central 2022-01-10 /pmc/articles/PMC8751371/ /pubmed/35012638 http://dx.doi.org/10.1186/s13073-021-00990-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Bonazzi, Vanessa F. Kondrashova, Olga Smith, Deborah Nones, Katia Sengal, Asmerom T. Ju, Robert Packer, Leisl M. Koufariotis, Lambros T. Kazakoff, Stephen H. Davidson, Aimee L. Ramarao-Milne, Priya Lakis, Vanessa Newell, Felicity Rogers, Rebecca Davies, Claire Nicklin, James Garrett, Andrea Chetty, Naven Perrin, Lewis Pearson, John V. Patch, Ann-Marie Waddell, Nicola Pollock, Pamela M. Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer |
title | Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer |
title_full | Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer |
title_fullStr | Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer |
title_full_unstemmed | Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer |
title_short | Patient-derived xenograft models capture genomic heterogeneity in endometrial cancer |
title_sort | patient-derived xenograft models capture genomic heterogeneity in endometrial cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8751371/ https://www.ncbi.nlm.nih.gov/pubmed/35012638 http://dx.doi.org/10.1186/s13073-021-00990-z |
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