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      Establishing and characterizing patient-derived xenografts using pre-chemotherapy percutaneous biopsy and post-chemotherapy surgical samples from a prospective neoadjuvant breast cancer study

      research-article
      1 , 1 , 2 , 3 , 4 , 4 , 5 , 5 , 5 , 2 , 13 , 2 , 4 , 6 , 7 , 8 , 8 , 8 , 9 , 10 , 11 , 11 , 4 , 4 , 2 , 2 , 3 , 1 , 12 , 1 , 2 , 1 ,
      Breast Cancer Research : BCR
      BioMed Central
      Breast cancer, Patient-derived Xenograft (PDX), Percutaneous tumor biopsies (PTB), Prospective neoadjuvant chemotherapy (NAC), Pre-clinical therapy

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          Abstract

          Background

          Patient-derived xenografts (PDXs) are increasingly used in cancer research as a tool to inform cancer biology and drug response. Most available breast cancer PDXs have been generated in the metastatic setting. However, in the setting of operable breast cancer, PDX models both sensitive and resistant to chemotherapy are needed for drug development and prospective data are lacking regarding the clinical and molecular characteristics associated with PDX take rate in this setting.

          Methods

          The Breast Cancer Genome Guided Therapy Stud y (BEAUTY) is a prospective neoadjuvant chemotherapy (NAC) trial of stage I-III breast cancer patients treated with neoadjuvant weekly taxane+/-trastuzumab followed by anthracycline-based chemotherapy. Using percutaneous tumor biopsies (PTB), we established and characterized PDXs from both primary (untreated) and residual (treated) tumors. Tumor take rate was defined as percent of patients with the development of at least one stably transplantable (passed at least for four generations) xenograft that was pathologically confirmed as breast cancer.

          Results

          Baseline PTB samples from 113 women were implanted with an overall take rate of 27.4% (31/113). By clinical subtype, the take rate was 51.3% (20/39) in triple negative (TN) breast cancer, 26.5% (9/34) in HER2+, 5.0% (2/40) in luminal B and 0% (0/3) in luminal A. The take rate for those with pCR did not differ from those with residual disease in TN ( p = 0.999) and HER2+ ( p = 0.2401) tumors. The xenografts from 28 of these 31 patients were such that at least one of the xenografts generated had the same molecular subtype as the patient. Among the 35 patients with residual tumor after NAC adequate for implantation, the take rate was 17.1%. PDX response to paclitaxel mirrored the patients’ clinical response in all eight PDX tested.

          Conclusions

          The generation of PDX models both sensitive and resistant to standard NAC is feasible and these models exhibit similar biological and drug response characteristics as the patients’ primary tumors. Taken together, these models may be useful for biomarker discovery and future drug development.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13058-017-0920-8) contains supplementary material, which is available to authorized users.

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          Most cited references22

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          Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis.

          Pathological complete response has been proposed as a surrogate endpoint for prediction of long-term clinical benefit, such as disease-free survival, event-free survival (EFS), and overall survival (OS). We had four key objectives: to establish the association between pathological complete response and EFS and OS, to establish the definition of pathological complete response that correlates best with long-term outcome, to identify the breast cancer subtypes in which pathological complete response is best correlated with long-term outcome, and to assess whether an increase in frequency of pathological complete response between treatment groups predicts improved EFS and OS. We searched PubMed, Embase, and Medline for clinical trials of neoadjuvant treatment of breast cancer. To be eligible, studies had to meet three inclusion criteria: include at least 200 patients with primary breast cancer treated with preoperative chemotherapy followed by surgery; have available data for pathological complete response, EFS, and OS; and have a median follow-up of at least 3 years. We compared the three most commonly used definitions of pathological complete response--ypT0 ypN0, ypT0/is ypN0, and ypT0/is--for their association with EFS and OS in a responder analysis. We assessed the association between pathological complete response and EFS and OS in various subgroups. Finally, we did a trial-level analysis to assess whether pathological complete response could be used as a surrogate endpoint for EFS or OS. We obtained data from 12 identified international trials and 11 955 patients were included in our responder analysis. Eradication of tumour from both breast and lymph nodes (ypT0 ypN0 or ypT0/is ypN0) was better associated with improved EFS (ypT0 ypN0: hazard ratio [HR] 0·44, 95% CI 0·39-0·51; ypT0/is ypN0: 0·48, 0·43-0·54) and OS (0·36, 0·30-0·44; 0·36, 0·31-0·42) than was tumour eradication from the breast alone (ypT0/is; EFS: HR 0·60, 95% CI 0·55-0·66; OS 0·51, 0·45-0·58). We used the ypT0/is ypN0 definition for all subsequent analyses. The association between pathological complete response and long-term outcomes was strongest in patients with triple-negative breast cancer (EFS: HR 0·24, 95% CI 0·18-0·33; OS: 0·16, 0·11-0·25) and in those with HER2-positive, hormone-receptor-negative tumours who received trastuzumab (EFS: 0·15, 0·09-0·27; OS: 0·08, 0·03, 0·22). In the trial-level analysis, we recorded little association between increases in frequency of pathological complete response and EFS (R(2)=0·03, 95% CI 0·00-0·25) and OS (R(2)=0·24, 0·00-0·70). Patients who attain pathological complete response defined as ypT0 ypN0 or ypT0/is ypN0 have improved survival. The prognostic value is greatest in aggressive tumour subtypes. Our pooled analysis could not validate pathological complete response as a surrogate endpoint for improved EFS and OS. US Food and Drug Administration. Copyright © 2014 Elsevier Ltd. All rights reserved.
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            Genome Remodeling in a Basal-like Breast Cancer Metastasis and Xenograft

            Massively parallel DNA sequencing technologies provide an unprecedented ability to screen entire genomes for genetic changes associated with tumor progression. Here we describe the genomic analyses of four DNA samples from an African-American patient with basal-like breast cancer: peripheral blood, the primary tumor, a brain metastasis, and a xenograft derived from the primary tumor. The metastasis contained two de novo mutations and a large deletion not present in the primary tumor, and was significantly enriched for 20 shared mutations. The xenograft retained all primary tumor mutations, and displayed a mutation enrichment pattern that paralleled the metastasis (16 of 20 genes). Two overlapping large deletions, encompassing CTNNA1, were present in all three tumor samples. The differential mutation frequencies and structural variation patterns in metastasis and xenograft compared to the primary tumor suggest that secondary tumors may arise from a minority of cells within the primary.
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              Interrogating open issues in cancer precision medicine with patient-derived xenografts

              This Opinion article discusses progress and challenges in using patient-derived xenograft (PDX) models in cancer precision medicine. It is primarily co-authored by members of the EurOPDX Consortium and as such highlights the merits of shared PDX resources.
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                Author and article information

                Contributors
                Yu.Jia@mayo.edu
                Qin.Bo@mayo.edu
                Moyer.Ann@mayo.edu
                Sinnwell.Jason@mayo.edu
                Thompson.Kevin@mayo.edu
                Copland.John@mayo.edu
                Marlow.Laura@mayo.edu
                Miller.James1@mayo.edu
                Yin.Ping@mayo.edu
                Bowen.Gao@cshs.org
                minterdykhouse.katherine@mayo.edu
                Tang.Xiaojia@mayo.edu
                McLaughlin.Sarah@mayo.edu
                MorenoAspitia.Alvaro@mayo.edu
                Anthony_schweitzer@affymetrix.com
                Yan_lu@affymetrix.com
                Jason_hubbard@affymetrix.com
                Northfelt.Donald@mayo.edu
                Gray.Richard@mayo.edu
                Hunt.Katie@mayo.edu
                Conners.Amy@mayo.edu
                suman@mayo.edu
                Kalari.Krishna@mayo.edu
                Ingle.James@mayo.edu
                Lou.Zhenkun@mayo.edu
                Visscher.Daniel@mayo.edu
                Weinshilboum.Richard@mayo.edu
                boughey.judy@mayo.edu
                Goetz.Matthew@mayo.edu
                507-284-5264 , Wang.Liewei@mayo.edu
                Journal
                Breast Cancer Res
                Breast Cancer Res
                Breast Cancer Research : BCR
                BioMed Central (London )
                1465-5411
                1465-542X
                6 December 2017
                6 December 2017
                2017
                : 19
                : 130
                Affiliations
                [1 ]ISNI 0000 0004 0459 167X, GRID grid.66875.3a, Department of Molecular Pharmacology and Experimental Therapeutics, , Mayo Clinic, ; 200 First Street SW, Rochester, MN 55905 USA
                [2 ]ISNI 0000 0004 0459 167X, GRID grid.66875.3a, Department of Oncology, , Mayo Clinic, ; Rochester, MN 55905 USA
                [3 ]ISNI 0000 0004 0459 167X, GRID grid.66875.3a, Department of Laboratory Medicine and Pathology, , Mayo Clinic, ; Rochester, MN 55905 USA
                [4 ]ISNI 0000 0004 0459 167X, GRID grid.66875.3a, Department of Health Sciences Research, , Mayo Clinic, ; Rochester, MN 55905 USA
                [5 ]ISNI 0000 0004 0443 9942, GRID grid.417467.7, Department of Cancer Biology, , Mayo Clinic, ; Jacksonville, FL 32224 USA
                [6 ]ISNI 0000 0004 0443 9942, GRID grid.417467.7, Department of Surgery, , Mayo Clinic, ; Jacksonville, FL 32224 USA
                [7 ]ISNI 0000 0004 0443 9942, GRID grid.417467.7, Department of Hematology/Oncology, , Mayo Clinic, ; Jacksonville, FL 32224 USA
                [8 ]ISNI 0000 0004 0462 4726, GRID grid.417703.6, Affymetrix, now part of Thermo Fisher Scientific, ; Santa Clara, CA 95051 USA
                [9 ]ISNI 0000 0000 8875 6339, GRID grid.417468.8, Department of Hematology/Oncology, , Mayo Clinic, ; Scottsdale, AZ 85259 USA
                [10 ]ISNI 0000 0000 8875 6339, GRID grid.417468.8, Department of Surgery, , Mayo Clinic, ; Scottsdale, AZ 85259 USA
                [11 ]ISNI 0000 0004 0459 167X, GRID grid.66875.3a, Department of Radiology, , Mayo Clinic, ; Rochester, MN 55905 USA
                [12 ]ISNI 0000 0004 0459 167X, GRID grid.66875.3a, Department of Surgery, , Mayo Clinic, ; Rochester, MN 55905 USA
                [13 ]ISNI 0000 0001 2152 9905, GRID grid.50956.3f, Department of Surgery, , Cedars-Sinai Medical Center, ; Los Angeles, CA 90048 USA
                Article
                920
                10.1186/s13058-017-0920-8
                5719923
                29212525
                4cdf41d2-9402-4266-a103-672e2f14d10a
                © The Author(s). 2017

                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.

                History
                : 10 January 2017
                : 15 November 2017
                Funding
                Funded by: Mayo Clinic Center for Individualized Medicine
                Funded by: Pharmacogenomics Research Network
                Award ID: U19 GM61388-15
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: National Institutes of Healt
                Award Recipient :
                Funded by: Mayo Clinic Cancer Center
                Award ID: CA15083-40A2
                Funded by: Mayo Clinic Breast Specialized Program of Research Excellence
                Award ID: P50CA116201
                Award Recipient :
                Funded by: John P. Guider
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Oncology & Radiotherapy
                breast cancer,patient-derived xenograft (pdx),percutaneous tumor biopsies (ptb),prospective neoadjuvant chemotherapy (nac),pre-clinical therapy

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