Cargando…
Time series analysis of neoadjuvant chemotherapy and bevacizumab-treated breast carcinomas reveals a systemic shift in genomic aberrations
BACKGROUND: Chemotherapeutic agents such as anthracyclines and taxanes are commonly used in the neoadjuvant setting. Bevacizumab is an antibody which binds to vascular endothelial growth factor A (VEGFA) and inhibits its receptor interaction, thus obstructing the formation of new blood vessels. METH...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262977/ https://www.ncbi.nlm.nih.gov/pubmed/30497530 http://dx.doi.org/10.1186/s13073-018-0601-y |
_version_ | 1783375211643535360 |
---|---|
author | Höglander, Elen Kristine Nord, Silje Wedge, David C. Lingjærde, Ole Christian Silwal-Pandit, Laxmi Gythfeldt, Hedda vdL Vollan, Hans Kristian Moen Fleischer, Thomas Krohn, Marit Schlitchting, Ellen Borgen, Elin Garred, Øystein Holmen, Marit M. Wist, Erik Naume, Bjørn Van Loo, Peter Børresen-Dale, Anne-Lise Engebraaten, Olav Kristensen, Vessela |
author_facet | Höglander, Elen Kristine Nord, Silje Wedge, David C. Lingjærde, Ole Christian Silwal-Pandit, Laxmi Gythfeldt, Hedda vdL Vollan, Hans Kristian Moen Fleischer, Thomas Krohn, Marit Schlitchting, Ellen Borgen, Elin Garred, Øystein Holmen, Marit M. Wist, Erik Naume, Bjørn Van Loo, Peter Børresen-Dale, Anne-Lise Engebraaten, Olav Kristensen, Vessela |
author_sort | Höglander, Elen Kristine |
collection | PubMed |
description | BACKGROUND: Chemotherapeutic agents such as anthracyclines and taxanes are commonly used in the neoadjuvant setting. Bevacizumab is an antibody which binds to vascular endothelial growth factor A (VEGFA) and inhibits its receptor interaction, thus obstructing the formation of new blood vessels. METHODS: A phase II randomized clinical trial of 123 patients with Her2-negative breast cancer was conducted, with patients treated with neoadjuvant chemotherapy (fluorouracil (5FU)/epirubicin/cyclophosphamide (FEC) and taxane), with or without bevacizumab. Serial biopsies were obtained at time of diagnosis, after 12 weeks of treatment with FEC ± bevacizumab, and after 25 weeks of treatment with taxane ± bevacizumab. A time course study was designed to investigate the genomic landscape at the three time points when tumor DNA alterations, tumor percentage, genomic instability, and tumor clonality were assessed. Substantial differences were observed with some tumors changing mainly between diagnosis and at 12 weeks, others between 12 and 25 weeks, and still others changing in both time periods. RESULTS: In both treatment arms, good responders (GR) and non-responders (NR) displayed significant difference in genomic instability index (GII) at time of diagnosis. In the combination arm, copy number alterations at 25 loci at the time of diagnosis were significantly different between the GR and NR. An inverse aberration pattern was also observed between the two extreme response groups at 6p22-p12 for patients in the combination arm. Signs of subclonal reduction were observed, with some aberrations disappearing and others being retained during treatment. Increase in subclonal amplification was observed at 6p21.1, a locus which contains the VEGFA gene for the protein which are targeted by the study drug bevacizumab. Of the 13 pre-treatment samples that had a gain at VEGFA, 12 were responders. Significant decrease of frequency of subclones carrying gains at 17q21.32-q22 was observed at 12 weeks, with the peak occurring at TMEM100, an ALK1 receptor signaling-dependent gene essential for vasculogenesis. This implies that cells bearing amplifications of VEGFA and TMEM100 are particularly sensitive to this treatment regime. CONCLUSIONS: Taken together, these results suggest that heterogeneity and subclonal architecture influence the response to targeted treatment in combination with chemotherapy, with possible implications for clinical decision-making and monitoring of treatment efficacy. TRIAL REGISTRATION: NCT00773695. Registered 15 October 2008 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0601-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6262977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62629772018-12-10 Time series analysis of neoadjuvant chemotherapy and bevacizumab-treated breast carcinomas reveals a systemic shift in genomic aberrations Höglander, Elen Kristine Nord, Silje Wedge, David C. Lingjærde, Ole Christian Silwal-Pandit, Laxmi Gythfeldt, Hedda vdL Vollan, Hans Kristian Moen Fleischer, Thomas Krohn, Marit Schlitchting, Ellen Borgen, Elin Garred, Øystein Holmen, Marit M. Wist, Erik Naume, Bjørn Van Loo, Peter Børresen-Dale, Anne-Lise Engebraaten, Olav Kristensen, Vessela Genome Med Research BACKGROUND: Chemotherapeutic agents such as anthracyclines and taxanes are commonly used in the neoadjuvant setting. Bevacizumab is an antibody which binds to vascular endothelial growth factor A (VEGFA) and inhibits its receptor interaction, thus obstructing the formation of new blood vessels. METHODS: A phase II randomized clinical trial of 123 patients with Her2-negative breast cancer was conducted, with patients treated with neoadjuvant chemotherapy (fluorouracil (5FU)/epirubicin/cyclophosphamide (FEC) and taxane), with or without bevacizumab. Serial biopsies were obtained at time of diagnosis, after 12 weeks of treatment with FEC ± bevacizumab, and after 25 weeks of treatment with taxane ± bevacizumab. A time course study was designed to investigate the genomic landscape at the three time points when tumor DNA alterations, tumor percentage, genomic instability, and tumor clonality were assessed. Substantial differences were observed with some tumors changing mainly between diagnosis and at 12 weeks, others between 12 and 25 weeks, and still others changing in both time periods. RESULTS: In both treatment arms, good responders (GR) and non-responders (NR) displayed significant difference in genomic instability index (GII) at time of diagnosis. In the combination arm, copy number alterations at 25 loci at the time of diagnosis were significantly different between the GR and NR. An inverse aberration pattern was also observed between the two extreme response groups at 6p22-p12 for patients in the combination arm. Signs of subclonal reduction were observed, with some aberrations disappearing and others being retained during treatment. Increase in subclonal amplification was observed at 6p21.1, a locus which contains the VEGFA gene for the protein which are targeted by the study drug bevacizumab. Of the 13 pre-treatment samples that had a gain at VEGFA, 12 were responders. Significant decrease of frequency of subclones carrying gains at 17q21.32-q22 was observed at 12 weeks, with the peak occurring at TMEM100, an ALK1 receptor signaling-dependent gene essential for vasculogenesis. This implies that cells bearing amplifications of VEGFA and TMEM100 are particularly sensitive to this treatment regime. CONCLUSIONS: Taken together, these results suggest that heterogeneity and subclonal architecture influence the response to targeted treatment in combination with chemotherapy, with possible implications for clinical decision-making and monitoring of treatment efficacy. TRIAL REGISTRATION: NCT00773695. Registered 15 October 2008 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13073-018-0601-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-29 /pmc/articles/PMC6262977/ /pubmed/30497530 http://dx.doi.org/10.1186/s13073-018-0601-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Höglander, Elen Kristine Nord, Silje Wedge, David C. Lingjærde, Ole Christian Silwal-Pandit, Laxmi Gythfeldt, Hedda vdL Vollan, Hans Kristian Moen Fleischer, Thomas Krohn, Marit Schlitchting, Ellen Borgen, Elin Garred, Øystein Holmen, Marit M. Wist, Erik Naume, Bjørn Van Loo, Peter Børresen-Dale, Anne-Lise Engebraaten, Olav Kristensen, Vessela Time series analysis of neoadjuvant chemotherapy and bevacizumab-treated breast carcinomas reveals a systemic shift in genomic aberrations |
title | Time series analysis of neoadjuvant chemotherapy and bevacizumab-treated breast carcinomas reveals a systemic shift in genomic aberrations |
title_full | Time series analysis of neoadjuvant chemotherapy and bevacizumab-treated breast carcinomas reveals a systemic shift in genomic aberrations |
title_fullStr | Time series analysis of neoadjuvant chemotherapy and bevacizumab-treated breast carcinomas reveals a systemic shift in genomic aberrations |
title_full_unstemmed | Time series analysis of neoadjuvant chemotherapy and bevacizumab-treated breast carcinomas reveals a systemic shift in genomic aberrations |
title_short | Time series analysis of neoadjuvant chemotherapy and bevacizumab-treated breast carcinomas reveals a systemic shift in genomic aberrations |
title_sort | time series analysis of neoadjuvant chemotherapy and bevacizumab-treated breast carcinomas reveals a systemic shift in genomic aberrations |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6262977/ https://www.ncbi.nlm.nih.gov/pubmed/30497530 http://dx.doi.org/10.1186/s13073-018-0601-y |
work_keys_str_mv | AT hoglanderelenkristine timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT nordsilje timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT wedgedavidc timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT lingjærdeolechristian timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT silwalpanditlaxmi timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT gythfeldtheddavdl timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT vollanhanskristianmoen timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT fleischerthomas timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT krohnmarit timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT schlitchtingellen timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT borgenelin timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT garredøystein timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT holmenmaritm timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT wisterik timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT naumebjørn timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT vanloopeter timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT børresendaleannelise timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT engebraatenolav timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations AT kristensenvessela timeseriesanalysisofneoadjuvantchemotherapyandbevacizumabtreatedbreastcarcinomasrevealsasystemicshiftingenomicaberrations |