Prospective cohort study using the breast cancer spheroid model as a predictor for response to neoadjuvant therapy--the SpheroNEO study

Aim of this prospective study was to predict response to neoadjuvant therapy in breast cancer patients using an in vitro breast cancer spheroid model. Three-dimensional spheroids were directly generated from fresh breast tumor biopsies of 78 patients eligible for neoadjuvant therapy. Cell survival w...

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Veröffentlicht in:BMC cancer 2015-07, Vol.15 (1), p.519-519, Article 519
Hauptverfasser: Halfter, Kathrin, Ditsch, Nina, Kolberg, Hans-Christian, Fischer, Holger, Hauzenberger, Tanja, von Koch, Franz Edler, Bauerfeind, Ingo, von Minckwitz, Gunter, Funke, Ilona, Crispin, Alexander, Mayer, Barbara
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container_end_page 519
container_issue 1
container_start_page 519
container_title BMC cancer
container_volume 15
creator Halfter, Kathrin
Ditsch, Nina
Kolberg, Hans-Christian
Fischer, Holger
Hauzenberger, Tanja
von Koch, Franz Edler
Bauerfeind, Ingo
von Minckwitz, Gunter
Funke, Ilona
Crispin, Alexander
Mayer, Barbara
description Aim of this prospective study was to predict response to neoadjuvant therapy in breast cancer patients using an in vitro breast cancer spheroid model. Three-dimensional spheroids were directly generated from fresh breast tumor biopsies of 78 patients eligible for neoadjuvant therapy. Cell survival was measured after in vitro exposure to the equivalent therapeutic agents in the breast cancer spheroid model. Treatment results in vitro were correlated with pathological complete response (pCR, i.e. ypT0 ypN0) determined at surgery. A mean cell survival of 21.8 % was found in the breast cancer spheroid model for 22 patients with pCR versus 63.8 % in 56 patients without pCR (P = .001). The area under the receiver operator characteristic curve to predict pCR was 0.86 (95 % CI: 0.77 to 0.96) for cell survival in vitro compared to 0.80 (95 % CI: 0.70 to 0.90) for a combined model of conventional factors (hormone- and HER2 receptor, and age). A cutoff at 35 % cell survival for the spheroid model was proposed. Out of the 32 patients with values below this threshold, 21 patients (65.6 %) and one patient (2.2 %) with a cell survival greater than 35 % achieved pCR respectively; (sensitivity 95.5 % (95 % CI: 0.86 to 1.00); specificity 80.4 % (95 % CI: 0.70 to 0.91)). Extent of residual disease positively correlated with increased cell survival (P = .021). The breast cancer spheroid model proved to be a highly sensitive and specific predictor for pCR after neoadjuvant chemotherapy in breast cancer patients.
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Three-dimensional spheroids were directly generated from fresh breast tumor biopsies of 78 patients eligible for neoadjuvant therapy. Cell survival was measured after in vitro exposure to the equivalent therapeutic agents in the breast cancer spheroid model. Treatment results in vitro were correlated with pathological complete response (pCR, i.e. ypT0 ypN0) determined at surgery. A mean cell survival of 21.8 % was found in the breast cancer spheroid model for 22 patients with pCR versus 63.8 % in 56 patients without pCR (P = .001). The area under the receiver operator characteristic curve to predict pCR was 0.86 (95 % CI: 0.77 to 0.96) for cell survival in vitro compared to 0.80 (95 % CI: 0.70 to 0.90) for a combined model of conventional factors (hormone- and HER2 receptor, and age). A cutoff at 35 % cell survival for the spheroid model was proposed. Out of the 32 patients with values below this threshold, 21 patients (65.6 %) and one patient (2.2 %) with a cell survival greater than 35 % achieved pCR respectively; (sensitivity 95.5 % (95 % CI: 0.86 to 1.00); specificity 80.4 % (95 % CI: 0.70 to 0.91)). Extent of residual disease positively correlated with increased cell survival (P = .021). 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Three-dimensional spheroids were directly generated from fresh breast tumor biopsies of 78 patients eligible for neoadjuvant therapy. Cell survival was measured after in vitro exposure to the equivalent therapeutic agents in the breast cancer spheroid model. Treatment results in vitro were correlated with pathological complete response (pCR, i.e. ypT0 ypN0) determined at surgery. A mean cell survival of 21.8 % was found in the breast cancer spheroid model for 22 patients with pCR versus 63.8 % in 56 patients without pCR (P = .001). The area under the receiver operator characteristic curve to predict pCR was 0.86 (95 % CI: 0.77 to 0.96) for cell survival in vitro compared to 0.80 (95 % CI: 0.70 to 0.90) for a combined model of conventional factors (hormone- and HER2 receptor, and age). A cutoff at 35 % cell survival for the spheroid model was proposed. Out of the 32 patients with values below this threshold, 21 patients (65.6 %) and one patient (2.2 %) with a cell survival greater than 35 % achieved pCR respectively; (sensitivity 95.5 % (95 % CI: 0.86 to 1.00); specificity 80.4 % (95 % CI: 0.70 to 0.91)). Extent of residual disease positively correlated with increased cell survival (P = .021). The breast cancer spheroid model proved to be a highly sensitive and specific predictor for pCR after neoadjuvant chemotherapy in breast cancer patients.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>26169261</pmid><doi>10.1186/s12885-015-1491-7</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Aged
Antineoplastic Agents - pharmacology
Antineoplastic Agents - therapeutic use
Biomarkers
Biomarkers, Tumor
Biopsy
Breast cancer
Breast Neoplasms - drug therapy
Breast Neoplasms - metabolism
Breast Neoplasms - mortality
Breast Neoplasms - pathology
Cancer therapies
Care and treatment
Chemotherapy
Clinical outcomes
Cohort analysis
Cohort Studies
Drug dosages
Female
Health aspects
Humans
In Vitro Techniques
Laboratories
Metabolism
Middle Aged
Neoadjuvant Therapy
Neoplasm Grading
Neoplasm Metastasis
Neoplasm Staging
Odds Ratio
Patient outcomes
Patients
Prognosis
Prospective Studies
ROC Curve
Spheroids, Cellular
Tumor Cells, Cultured
Tumors
Young Adult
title Prospective cohort study using the breast cancer spheroid model as a predictor for response to neoadjuvant therapy--the SpheroNEO study
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