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      Time series analysis of neoadjuvant chemotherapy and bevacizumab-treated breast carcinomas reveals a systemic shift in genomic aberrations

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          Abstract

          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.

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          Most cited references20

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          Breast cancer molecular subtypes respond differently to preoperative chemotherapy.

          Molecular classification of breast cancer has been proposed based on gene expression profiles of human tumors. Luminal, basal-like, normal-like, and erbB2+ subgroups were identified and were shown to have different prognoses. The goal of this research was to determine if these different molecular subtypes of breast cancer also respond differently to preoperative chemotherapy. Fine needle aspirations of 82 breast cancers were obtained before starting preoperative paclitaxel followed by 5-fluorouracil, doxorubicin, and cyclophosphamide chemotherapy. Gene expression profiling was done with Affymetrix U133A microarrays and the previously reported "breast intrinsic" gene set was used for hierarchical clustering and multidimensional scaling to assign molecular class. The basal-like and erbB2+ subgroups were associated with the highest rates of pathologic complete response (CR), 45% [95% confidence interval (95% CI), 24-68] and 45% (95% CI, 23-68), respectively, whereas the luminal tumors had a pathologic CR rate of 6% (95% CI, 1-21). No pathologic CR was observed among the normal-like cancers (95% CI, 0-31). Molecular class was not independent of conventional cliniocopathologic predictors of response such as estrogen receptor status and nuclear grade. None of the 61 genes associated with pathologic CR in the basal-like group were associated with pathologic CR in the erbB2+ group, suggesting that the molecular mechanisms of chemotherapy sensitivity may vary between these two estrogen receptor-negative subtypes. The basal-like and erbB2+ subtypes of breast cancer are more sensitive to paclitaxel- and doxorubicin-containing preoperative chemotherapy than the luminal and normal-like cancers.
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            Endothelial cell-cell junctions: happy together.

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              Clinical course of breast cancer patients with complete pathologic primary tumor and axillary lymph node response to doxorubicin-based neoadjuvant chemotherapy.

              To assess patient and tumor characteristics associated with a complete pathologic response (pCR) in both the breast and axillary lymph node specimens and the outcome of patients found to have a pCR after neoadjuvant chemotherapy for locally advanced breast cancer (LABC). Three hundred seventy-two LABC patients received treatment in two prospective neoadjuvant trials using four cycles of doxorubicin-containing chemotherapy. Patients had a total mastectomy with axillary dissection or segmental mastectomy and axillary dissection followed by four or more cycles of additional chemotherapy. Patients then received irradiation treatment of the chest-wall or breast and regional lymphatics. Median follow-up was 58 months (range, 8 to 99 months). The initial nodal status, age, and stage distribution of patients with a pCR were not significantly different from those of patients with less than a pCR (P>.05). Patients with a pCR had initial tumors that were more likely to be estrogen receptor (ER)-negative (P<.01), and anaplastic (P = .01) but of smaller size (P<.01) than those of patients with less than a pCR. Upon multivariate analysis, the effects of ER status and nuclear grade were independent of initial tumor size. Sixteen percent of the patients in this study (n = 60) had a pathologic complete primary tumor response. Twelve percent of patients (n = 43) had no microscopic evidence of invasive cancer in their breast and axillary specimens. A pathologic complete primary tumor response was predictive of a complete axillary lymph node response (P<.01 ). The 5-year overall and disease-free survival rates were significantly higher in the group who had a pCR (89% and 87%, respectively) than in the group who had less than a pCR (64% and 58%, respectively; P<.01). Neoadjuvant chemotherapy has the capacity to completely clear the breast and axillary lymph nodes of invasive tumor before surgery. Patients with LABC who have a pCR in the breast and axillary nodes have a significantly improved disease-free survival rate. However, a pCR does not entirely eliminate recurrence. Further efforts should focus on elucidating the molecular mechanisms associated with this response.
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                Author and article information

                Contributors
                elenhoglander@gmail.com
                silje.nordgard@gmail.no
                david.wedge@bdi.ox.ac.uk
                ole@ifi.uio.no
                laxmi.silwal-pandit@rr-research.no
                heddavdlgythfeldt@gmail.com
                Hans.Kristian.Moen.Vollan@rr-research.no
                Thomas.Fleischer@rr-research.no
                marit.krohn@gmail.com
                ELSCHL@ous-hf.no
                EBG@ous-hf.no
                UXYSGA@ous-hf.no
                MMH@ous-hf.no
                erik.wist@medisin.uio.no
                BNA@ous-hf.no
                Peter.VanLoo@crick.ac.uk
                a.l.borresen-dale@medisin.uio.no
                olav.engebraten@medisin.uio.no
                v.n.kristensen@medisin.uio.no
                Journal
                Genome Med
                Genome Med
                Genome Medicine
                BioMed Central (London )
                1756-994X
                29 November 2018
                29 November 2018
                2018
                : 10
                : 92
                Affiliations
                [1 ]ISNI 0000 0004 0389 8485, GRID grid.55325.34, Department of Genetics, Institute for Cancer Research, , Oslo University Hospital Radiumhospitalet, ; Postboks 4953 Nydalen, 0424 Oslo, Norway
                [2 ]ISNI 0000 0004 1936 8921, GRID grid.5510.1, KG Jebsen Center for Breast Cancer Research, Institute for Clinical Medicine, , University of Oslo, ; Oslo, Norway
                [3 ]ISNI 0000 0004 1936 8948, GRID grid.4991.5, Big Data Institute, , University of Oxford, ; Oxford, UK
                [4 ]ISNI 0000 0004 1936 8921, GRID grid.5510.1, Biomedical Informatics, Department of Informatics and Centre for Cancer Biomedicine, , University of Oslo, ; Oslo, Norway
                [5 ]ISNI 0000 0004 0389 8485, GRID grid.55325.34, Department of Oncology, , Oslo University Hospital, ; 0407 Oslo, Norway
                [6 ]ISNI 0000 0004 0389 8485, GRID grid.55325.34, Section for Breast and Endocrine Surgery, , Oslo University Hospital, ; Oslo, Norway
                [7 ]ISNI 0000 0004 0389 8485, GRID grid.55325.34, Department of Pathology, , Oslo University Hospital, ; Oslo, Norway
                [8 ]ISNI 0000 0004 0389 8485, GRID grid.55325.34, Department of Radiology, , Oslo University Hospital, ; Oslo, Norway
                [9 ]ISNI 0000 0004 1795 1830, GRID grid.451388.3, Cancer Research UK London Research Institute, ; London, UK
                [10 ]ISNI 0000 0000 9637 455X, GRID grid.411279.8, Department of Clinical Molecular Biology (EpiGen), Divison of Medicine, , Akershus University Hospital, ; Lørenskog, Norway
                [11 ]ISNI 0000 0004 1936 8921, GRID grid.5510.1, Institute of Clinical Medicine, , University of Oslo, ; Oslo, Norway
                Article
                601
                10.1186/s13073-018-0601-y
                6262977
                30497530
                0184dc70-88cd-4a6d-9b44-3c9651468539
                © 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.

                History
                : 14 August 2018
                : 13 November 2018
                Funding
                Funded by: Red Ribbon for Breast Cancer Research
                Funded by: FundRef http://dx.doi.org/10.13039/501100005416, Norges Forskningsråd;
                Funded by: FundRef http://dx.doi.org/10.13039/100008730, Kreftforeningen;
                Award ID: 419616 - 71248 - PR-2006-0282
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100006095, Helse Sør-Øst RHF;
                Award ID: 2729004
                Award ID: 2014061
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100007013, F. Hoffmann-La Roche;
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Molecular medicine
                breast cancer,tumor heterogeneity,clonal and subclonal aberrations,chemotherapy,targeted treatment,angiogenesis

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