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Testing chemotherapy efficacy in HER2 negative breast cancer using patient-derived spheroids

BACKGROUND: Targeted anti-HER2 therapy has greatly improved the prognosis for many breast cancer patients. However, treatment for HER2 negative disease is currently still selected from a multitude of untargeted chemotherapeutic treatment options. A predictive test was developed using patient-derived...

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Autores principales: Halfter, Kathrin, Hoffmann, Oliver, Ditsch, Nina, Ahne, Mareike, Arnold, Frank, Paepke, Stefan, Grab, Dieter, Bauerfeind, Ingo, Mayer, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855689/
https://www.ncbi.nlm.nih.gov/pubmed/27142386
http://dx.doi.org/10.1186/s12967-016-0855-3
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author Halfter, Kathrin
Hoffmann, Oliver
Ditsch, Nina
Ahne, Mareike
Arnold, Frank
Paepke, Stefan
Grab, Dieter
Bauerfeind, Ingo
Mayer, Barbara
author_facet Halfter, Kathrin
Hoffmann, Oliver
Ditsch, Nina
Ahne, Mareike
Arnold, Frank
Paepke, Stefan
Grab, Dieter
Bauerfeind, Ingo
Mayer, Barbara
author_sort Halfter, Kathrin
collection PubMed
description BACKGROUND: Targeted anti-HER2 therapy has greatly improved the prognosis for many breast cancer patients. However, treatment for HER2 negative disease is currently still selected from a multitude of untargeted chemotherapeutic treatment options. A predictive test was developed using patient-derived spheroids to identify the most effective therapy for patients with HER2 negative breast cancer of all stages, for clinically relevant subgroups, as well as individual patients. METHODS: Tumor samples from 120 HER2 negative patients obtained through biopsy or surgical excision were tested in the breast cancer spheroid model using scaffold-free cell culture. Similarly, spheroids were also generated from established HER2 negative breast cancer cell lines T-47D, MCF7, HCC1143, and HCC1937 to compare treatment efficacy of heterogeneous cell populations from patient tumor tissue with homogeneous cell lines. Spheroids were treated in vitro with guideline-recommended compounds. Treatment mediated impact on cell survival was subsequently quantified using an ATP assay. RESULTS: Differences were observed in the metabolic activity of the untreated spheroids, whereby cell lines consistently achieved higher values compared to tissue spheroids (p < 0.001). A higher number of cells per spheroid correlated with a higher basal metabolic activity in tissue-derived spheroids (p < 0.01), while the opposite was observed for cell line spheroids (p < 0.01). Recurrent tumors showed a higher mean vitality (p < 0.01) compared to primary tumors. Except for taxanes, treatment efficacy for most tested compounds differed significantly between breast cancer tissue spheroids and breast cancer cell lines. Overall a high variability in treatment response in vitro was seen in the tissue spheroids regardless of the tested substances. A greater response to anthracycline/docetaxel was observed for hormone receptor negative samples (p < 0.01). A higher response to 5-FU (p < 0.01) and anthracycline (p < 0.05) was seen in high grade tumors. Smaller tumor size and negative lymph node status were both associated with a higher treatment efficacy to anthracycline treatment combined with 5-FU (cT1/2 vs cT3/4, p = 0.035, cN+ vs cN−, p < 0.05). CONCLUSIONS: The tissue spheroid model reflects current guideline treatment recommendations for HER2 negative breast cancer, whereas tested cell lines did not. This model represents a unique diagnostic method to select the most effective therapy out of several equivalent treatment options.
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spelling pubmed-48556892016-05-05 Testing chemotherapy efficacy in HER2 negative breast cancer using patient-derived spheroids Halfter, Kathrin Hoffmann, Oliver Ditsch, Nina Ahne, Mareike Arnold, Frank Paepke, Stefan Grab, Dieter Bauerfeind, Ingo Mayer, Barbara J Transl Med Research BACKGROUND: Targeted anti-HER2 therapy has greatly improved the prognosis for many breast cancer patients. However, treatment for HER2 negative disease is currently still selected from a multitude of untargeted chemotherapeutic treatment options. A predictive test was developed using patient-derived spheroids to identify the most effective therapy for patients with HER2 negative breast cancer of all stages, for clinically relevant subgroups, as well as individual patients. METHODS: Tumor samples from 120 HER2 negative patients obtained through biopsy or surgical excision were tested in the breast cancer spheroid model using scaffold-free cell culture. Similarly, spheroids were also generated from established HER2 negative breast cancer cell lines T-47D, MCF7, HCC1143, and HCC1937 to compare treatment efficacy of heterogeneous cell populations from patient tumor tissue with homogeneous cell lines. Spheroids were treated in vitro with guideline-recommended compounds. Treatment mediated impact on cell survival was subsequently quantified using an ATP assay. RESULTS: Differences were observed in the metabolic activity of the untreated spheroids, whereby cell lines consistently achieved higher values compared to tissue spheroids (p < 0.001). A higher number of cells per spheroid correlated with a higher basal metabolic activity in tissue-derived spheroids (p < 0.01), while the opposite was observed for cell line spheroids (p < 0.01). Recurrent tumors showed a higher mean vitality (p < 0.01) compared to primary tumors. Except for taxanes, treatment efficacy for most tested compounds differed significantly between breast cancer tissue spheroids and breast cancer cell lines. Overall a high variability in treatment response in vitro was seen in the tissue spheroids regardless of the tested substances. A greater response to anthracycline/docetaxel was observed for hormone receptor negative samples (p < 0.01). A higher response to 5-FU (p < 0.01) and anthracycline (p < 0.05) was seen in high grade tumors. Smaller tumor size and negative lymph node status were both associated with a higher treatment efficacy to anthracycline treatment combined with 5-FU (cT1/2 vs cT3/4, p = 0.035, cN+ vs cN−, p < 0.05). CONCLUSIONS: The tissue spheroid model reflects current guideline treatment recommendations for HER2 negative breast cancer, whereas tested cell lines did not. This model represents a unique diagnostic method to select the most effective therapy out of several equivalent treatment options. BioMed Central 2016-05-03 /pmc/articles/PMC4855689/ /pubmed/27142386 http://dx.doi.org/10.1186/s12967-016-0855-3 Text en © Halfter et al. 2016 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
Halfter, Kathrin
Hoffmann, Oliver
Ditsch, Nina
Ahne, Mareike
Arnold, Frank
Paepke, Stefan
Grab, Dieter
Bauerfeind, Ingo
Mayer, Barbara
Testing chemotherapy efficacy in HER2 negative breast cancer using patient-derived spheroids
title Testing chemotherapy efficacy in HER2 negative breast cancer using patient-derived spheroids
title_full Testing chemotherapy efficacy in HER2 negative breast cancer using patient-derived spheroids
title_fullStr Testing chemotherapy efficacy in HER2 negative breast cancer using patient-derived spheroids
title_full_unstemmed Testing chemotherapy efficacy in HER2 negative breast cancer using patient-derived spheroids
title_short Testing chemotherapy efficacy in HER2 negative breast cancer using patient-derived spheroids
title_sort testing chemotherapy efficacy in her2 negative breast cancer using patient-derived spheroids
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4855689/
https://www.ncbi.nlm.nih.gov/pubmed/27142386
http://dx.doi.org/10.1186/s12967-016-0855-3
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