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      Comparison of intramedullary myeloma and corresponding extramedullary soft tissue plasmacytomas using genetic mutational panel analyses

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          Abstract

          Multiple Myeloma (MM) is characterized by growth and proliferation of clonal plasma cells in the bone marrow (BM), and these plasma cells depend heavily on this BM microenvironment. In a subset of patients, the myeloma cells can spread hematogenously to soft tissues and these extramedullary myeloma (EM) lesions may be found in up to 30% of MM patients, the majority occurring during the course of the disease. 1 When restricting the definition of EM lesions to infiltration of soft tissue only and excluding the bone-related plasmacytomas, the prognosis is dismal with an overall survival of less than 6 months. 1, 2 It has been suggested that the incidence of EM relapses is increasing, possibly due to novel treatments or allogeneic stem cell transplantation. 3 Therefore novel therapeutic interventions are warranted. Molecular and DNA sequencing studies have revealed that MM is a genetically complex and heterogeneous disease, 4, 5 which demonstrated that molecular events in MM are not attained in a linear manner, but show intraclonal heterogeneity. Each subclone may carry novel mutations, which can influence drug sensitivity. Possibly due to these impediments, little progress had been made thus far in specific therapeutic targeting of oncogenic mutations in MM. An illustrative example of a successful targeted therapy is the treatment of a MM patient carrying a BRAFV600 mutation and EM disease with BRAF inhibitor vermurafenib. 6 However, the frequency of these BRAFV600E mutations is low: around 8.5% in EM and around 4% in general MM population. 5, 6 Another pitfall in the development of more effective treatment for relapsed EM patients is the lack of knowledge of the exact pathogenic or molecular mechanisms of the transition to EM and the independency of the BM. One of the suggested mutations involved in this transition is RAS mutations, since RAS mutations were found in three out of six EM samples, which were not detectable in the matched BM samples. 7 To screen for specific alterations between primary MM BM biopsies and EM relapses with the aspiration to identify possible novel therapeutic targets, we sequenced DNA of a well-documented cohort of MM patients with EM disease for a targeted panel of 50 tumor suppressor and oncogenes, often mutated in cancer. We selected 14 MM patients diagnosed at our institution from 2000 till 2015 from whom both formalin-fixed, paraffin-embedded material of soft tissue EM relapse and a BM biopsy at diagnosis were present. Clinical data and cytogenetic data (karyotyping and FISH) were retrieved from databases and medical records. The study was approved by the Scientific Advisory Board Biobanking of the University Medical Center Utrecht. A pathologist confirmed MM diagnosis and demarcated the tumor area. To obtain a high percentage of tumor cells, only samples with at least 10% tumor cells were selected for further processing and to enrich for tumor cells they were dissected with a scalpel from the biopsy material using 10 mesodissected 4-μm-thick paraffin sections. DNA of dissected tumor cells was isolated by DNA sample preparation kit (Roche, Basel, Switzerland) according to the manufacturer's protocol. Next generation sequencing was performed on the IonTorrent PGM using AmpliSeq Cancer Hotspot V2 Panel. This panel primarily contains amplicons to detect currently known cancer-associated mutations in the following actionable cancer genes: ABL1, AKT1, ALK, APC, ATM, BRAF, CDH1, CDKN2A, CSF1R, CTNNB1, EGFR, ERBB2, ERBB4, EZH2, FBXW7, FGFR1, FGFR2, FGFR3, FLT3, GNA11, GNAS, GNAQ, HNF1A, HRAS, IDH1, IDH2, JAK2, JAK3, KDR, KIT, KRAS, MET, MLH1, MPL, NOTCH1, NPM1, NRAS, PDGFRA, PIK3CA, PTEN, PTPN11, RB1, RET, SMAD4, SMARCB1, SMO, SRC, STK11, TP53 and VHL. The samples were processed according to the manufacturer's protocol and statistics were performed as previously described. 8 Besides genetic analysis, we also performed immunohistochemical (IHC) analysis for p53 protein expression as previously described. 9 The characteristics of the patients included in the analysis are shown in Table 1. All patients had been treated with immunomodulatory drugs and 10 with a proteasome inhibitor. In total, 7 out of 14 patients developed the EM relapse after allogeneic stem cell transplantation and/or donor lymphocyte infusion. In total, 12 out of 15 BM biopsies yielded results and 11 out of 14 EM biopsies, demonstrating a success percentage of DNA retrieval in 80% and 79%, respectively. The EM biopsies that were analyzed were located in the lymph node (2), skin (7), orbita (1) and pancreas (1). Overall a limited number of mutations was found in these samples (Figure 1), most samples containing only a single mutation, with a maximum of three mutations in one sample. Somatic mutations were found in NRAS, KRAS, Kit c840, ATM, PAC, TP53 and BRAF. A high prevalence of activating RAS mutations was found both in BM samples in 6 out of 9 patients (67%) and in EM samples in 7 out of 11patients (64%). The frequency of RAS mutations in this cohort is much higher than the previously reported frequencies of 23–44% in newly diagnosed and relapsed MM patients 10, 11 and is in accordance with the high incidence of RAS mutations reported in plasmacell leukemias from 54.4% at diagnosis to 81% at time of relapse. 12 In five patients with an RAS mutation, we were able to compare the BM and EM samples and demonstrated that in three patients the identical RAS mutation was already present in the diagnostic BM samples. In one patient it was not detectable in the BM at diagnosis, but was present in the BM at relapse and only one patient had a gain of RAS mutation in the EM sample only. This contradicts previous findings that the mutation is acquired during the disease progression from intramedullary to EM disease. 7 The high frequency of RAS mutations does support, however, the previous hypothesis that RAS might be a prerequisite for EM growth, 7 next to a yet-unidentified mechanism. Further focusing on the seven patients with paired BM and EM analysis available in our cohort, we found no additional mutations that are likely to be causal for EM spread, nor did we find novel treatment targets using this limited gene panel. We did observe an increment in allele frequency in some cases for mutations present in EM compared with BM, which may be due to the clonal selection, however this may also be attributed to the presence of non-tumor cells in the biopsies. In our cohort, 1 out of 11 patients had the BRAFV600E mutation in the EM biopsy, which coincide with previously reported prevalence of BRAF mutation in EM. 6 Furthermore, we detected three mutations, not previously described in MM patients: KIT C840Y/C844Y, ATM L2877F and APC E1317Q. Mutant KIT has been implicated in the pathogenesis of several cancers including melanoma, acute leukemia and gastrointestinal stromal tumors, but effective treatment strategies are still missing. ATM mutations are commonly found in ataxia-telangiectasia and somatic mutations were recently found to be related to the loss of the 11q23 region in T-PLL, however this is not commonly found in MM. These novel mutations in MM were both found in BM material at diagnosis and in EM tissue, and are therefore unlikely to be related to the development of EM disease. Furthermore, no healthy control tissue of these patients was analyzed and therefore it is not certain that these mutations are involved in the pathogenesis of MM. TP53 mutations may be associated with the presence of EM disease at diagnosis. 10 In three patients, a TP53 mutation or frameshift was detected in their BM or EM relapse sample. These three patients all showed diffuse and strong nuclear expression of the p53 protein on IHC, also indicative for a TP53 mutation (data not shown). Our IHC analyses also revealed a p53 overexpression in the EM relapse of two patients that did not have a mutation in TP53 and their BM samples had normal and overexpression of TP53, respectively. This is consistent with the general understanding that TP53 mutations are rarely present at the time of diagnosis but occur more frequently in advanced disease as well as in EM disease. 13 We should note, however, that in patient number 1, the TP53 mutation was detected in the BM relapse but not the EM relapse. This indicates that clones with TP53 aberrations do not necessarily have to persist or disseminate in EM disease. Interestingly, the TP53V197L mutation found in the EM relapse of patient 13 is associated with resistance to radiotherapy (RT) in patients with solid malignancies like glioblastoma, and head and neck cancer. 14 The EM plasmacytoma of this patient was also RT refractory suggesting, for the first time, that the outcome of RT may also be linked to TP53 mutations in MM. In conclusion, we demonstrate the feasibility of performing next generation sequencing on formalin and decalcified BM biopsy material of MM patients. Patients with an EM relapse have a high frequency of 69% of RAS mutations, in most of them already present at diagnosis. The frequency of TP53 mutations is less and mostly detected in relapsed samples. Therefore, the typical behavior and therapy resistance of EM relapse seems to be mediated by other factors than analyzed in this study and are possibly related to post-transcriptional alterations and/or to the influence of the micro environment. 15

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          Most cited references10

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          Soft-tissue plasmacytomas in multiple myeloma: incidence, mechanisms of extramedullary spread, and treatment approach.

          We provide an overview on soft-tissue extramedullary plasmacytomas (EMPs) in multiple myeloma (MM). We reviewed the incidence of EMPs in MM, myeloma bone marrow homing, possible mechanisms of extramedullary spread, and prognosis and response to therapy. The incidence of EMPs is 7% to 18% at MM diagnosis and up to 20% at relapse. The current notion that EMPs are more frequent after treatment with novel agents remains to be proven, especially considering that different patterns of disease recurrence can emerge as patients live longer in the era of novel drugs. Bone marrow genetic abnormalities are not associated with extramedullary spread per se, which also suggests that microenvironmental interactions are key. Possible mechanisms of extramedullary spread include decreased adhesion molecule expression and downregulation of chemokine receptors. EMPs usually show plasmablastic morphology with negative CD56 expression. High-dose therapy with autologous stem-cell transplantation (ASCT) can overcome the negative prognostic impact of extramedullary disease in younger selected patients. EMPs do not typically respond to thalidomide alone, but in contrast, responses to bortezomib have been reported. The incidence of EMPs in patients with MM is high and is associated with poor outcome in patients treated conventionally. A potential first-line treatment option seems to be a bortezomib-containing regimen followed by ASCT, whenever possible. Experimental studies on the mechanisms of myeloma cell adhesion, myeloma growth at extramedullary sites, and drug sensitivity are priorities for this area of continuing therapeutic challenge.
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            TP53 disruptive mutations lead to head and neck cancer treatment failure through inhibition of radiation-induced senescence.

            Mortality of patients with head and neck squamous cell carcinoma (HNSCC) is primarily driven by tumor cell radioresistance leading to locoregional recurrence (LRR). In this study, we use a classification of TP53 mutation (disruptive vs. nondisruptive) and examine impact on clinical outcomes and radiation sensitivity. Seventy-four patients with HNSCC treated with surgery and postoperative radiation and 38 HNSCC cell lines were assembled; for each, TP53 was sequenced and the in vitro radioresistance measured using clonogenic assays. p53 protein expression was inhibited using short hairpin RNA (shRNA) and overexpressed using a retrovirus. Radiation-induced apoptosis, mitotic cell death, senescence, and reactive oxygen species (ROS) assays were carried out. The effect of the drug metformin on overcoming mutant p53-associated radiation resistance was examined in vitro as well as in vivo, using an orthotopic xenograft model. Mutant TP53 alone was not predictive of LRR; however, disruptive TP53 mutation strongly predicted LRR (P = 0.03). Cell lines with disruptive mutations were significantly more radioresistant (P < 0.05). Expression of disruptive TP53 mutations significantly decreased radiation-induced senescence, as measured by SA-β-gal staining, p21 expression, and release of ROS. The mitochondrial agent metformin potentiated the effects of radiation in the presence of a disruptive TP53 mutation partially via senescence. Examination of our patient cohort showed that LRR was decreased in patients taking metformin. Disruptive TP53 mutations in HNSCC tumors predicts for LRR, because of increased radioresistance via the inhibition of senescence. Metformin can serve as a radiosensitizer for HNSCC with disruptive TP53, presaging the possibility of personalizing HNSCC treatment. © 2011 AACR.
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              Clinical significance of TP53 mutation in myeloma.

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                Author and article information

                Journal
                Blood Cancer J
                Blood Cancer J
                Blood Cancer Journal
                Nature Publishing Group
                2044-5385
                May 2016
                20 May 2016
                1 May 2016
                : 6
                : 5
                : e426
                Affiliations
                [1 ]Department of Clinical Chemistry and Hematology, UMC Utrecht , Utrecht, The Netherlands
                [2 ]Department of Molecular Pathology, UMC Utrecht , Utrecht, The Netherlands
                [3 ]Department of Hematology, VU Medical Center , Amsterdam, The Netherlands
                [4 ]Medical Genetics, UMC Utrecht , Utrecht, The Netherlands
                [5 ]Department of Hematology, Cancer Center UMC Utrecht , Utrecht, The Netherlands
                Author notes
                Article
                bcj201635
                10.1038/bcj.2016.35
                4916304
                27206246
                ebc4bad7-0b67-46d7-8935-35e16a37a102
                Copyright © 2016 Macmillan Publishers Limited

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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                Letter to the Editor

                Oncology & Radiotherapy
                Oncology & Radiotherapy

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