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Dive into the research topics where Paula Proszek is active.

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Featured researches published by Paula Proszek.


Journal of Clinical Oncology | 2015

Mutational Spectrum, Copy Number Changes, and Outcome: Results of a Sequencing Study of Patients With Newly Diagnosed Myeloma

Brian A. Walker; Eileen Boyle; Christopher P. Wardell; Alex Murison; Dil Begum; Nasrin M. Dahir; Paula Proszek; David C. Johnson; Martin Kaiser; Lorenzo Melchor; Lauren I. Aronson; Matthew Scales; Charlotte Pawlyn; Fabio Mirabella; John R Jones; Annamaria Brioli; Aneta Mikulášová; David A. Cairns; Walter Gregory; Ana Quartilho; Mark T. Drayson; Nigel H. Russell; Gordon Cook; Graham Jackson; Xavier Leleu; Faith E. Davies; Gareth J. Morgan

PURPOSE At the molecular level, myeloma is characterized by copy number abnormalities and recurrent translocations into the immunoglobulin heavy chain locus. Novel methods, such as massively parallel sequencing, have begun to describe the pattern of tumor-acquired mutations, but their clinical relevance has yet to be established. METHODS We performed whole-exome sequencing for 463 patients who presented with myeloma and were enrolled onto the National Cancer Research Institute Myeloma XI trial, for whom complete molecular cytogenetic and clinical outcome data were available. RESULTS We identified 15 significantly mutated genes: IRF4, KRAS, NRAS, MAX, HIST1H1E, RB1, EGR1, TP53, TRAF3, FAM46C, DIS3, BRAF, LTB, CYLD, and FGFR3. The mutational spectrum is dominated by mutations in the RAS (43%) and nuclear factor-κB (17%) pathways, but although they are prognostically neutral, they could be targeted therapeutically. Mutations in CCND1 and DNA repair pathway alterations (TP53, ATM, ATR, and ZNFHX4 mutations) are associated with a negative impact on survival. In contrast, those in IRF4 and EGR1 are associated with a favorable overall survival. We combined these novel mutation risk factors with the recurrent molecular adverse features and international staging system to generate an international staging system mutation score that can identify a high-risk population of patients who experience relapse and die prematurely. CONCLUSION We have refined our understanding of genetic events in myeloma and identified clinically relevant mutations that may be used to better stratify patients at presentation.


Nature Communications | 2015

APOBEC family mutational signatures are associated with poor prognosis translocations in multiple myeloma

Brian A. Walker; Christopher P. Wardell; Alex Murison; Eileen Boyle; Dil Begum; Nasrin M. Dahir; Paula Proszek; Lorenzo Melchor; Charlotte Pawlyn; Martin Kaiser; David C. Johnson; Ya-Wei Qiang; John R Jones; David A. Cairns; Walter Gregory; Roger Owen; Gordon Cook; Mark T. Drayson; Graham Jackson; Faith E. Davies; Gareth J. Morgan

We have sequenced 463 presenting cases of myeloma entered into the UK Myeloma XI study using whole exome sequencing. Here we identify mutations induced as a consequence of misdirected AID in the partner oncogenes of IGH translocations, which are activating and associated with impaired clinical outcome. An APOBEC mutational signature is seen in 3.8% of cases and is linked to the translocation mediated deregulation of MAF and MAFB, a known poor prognostic factor. Patients with this signature have an increased mutational load and a poor prognosis. Loss of MAF or MAFB expression results in decreased APOBEC3B and APOBEC4 expression, indicating a transcriptional control mechanism. Kataegis, a further mutational pattern associated with APOBEC deregulation, is seen at the sites of the MYC translocation. The APOBEC mutational signature seen in myeloma is, therefore, associated with poor prognosis primary and secondary translocations and the molecular mechanisms involved in generating them.


Blood | 2015

Coexistent hyperdiploidy does not abrogate poor prognosis in myeloma with adverse cytogenetics and may precede IGH translocations

Charlotte Pawlyn; Lorenzo Melchor; Alex Murison; Christopher P. Wardell; Annamaria Brioli; Eileen Boyle; Martin Kaiser; Brian A. Walker; Dil Begum; Nasrin Dahir; Paula Proszek; Walter Gregory; Mark T. Drayson; Graham Jackson; Fiona M. Ross; Faith E. Davies; Gareth J. Morgan

The acquisition of the cytogenetic abnormalities hyperdiploidy or translocations into the immunoglobulin gene loci are considered as initiating events in the pathogenesis of myeloma and were often assumed to be mutually exclusive. These lesions have clinical significance; hyperdiploidy or the presence of the t(11;14) translocation is associated with a favorable outcome, whereas t(4;14), t(14;16), and t(14;20) are unfavorable. Poor outcomes are magnified when lesions occur in association with other high-risk features, del17p and +1q. Some patients have coexistence of both good and poor prognostic lesions, and there has been no consensus on their risk status. To address this, we have investigated their clinical impact using cases in the Myeloma IX study (ISRCTN68454111) and shown that the coexistence of hyperdiploidy or t(11;14) does not abrogate the poor prognosis associated with adverse molecular lesions, including translocations. We have also used single-cell analysis to study cases with coexistent translocations and hyperdiploidy to determine how these lesions cosegregate within the clonal substructure, and we have demonstrated that hyperdiploidy may precede IGH translocation in a proportion of patients. These findings have important clinical and biological implications, as we conclude patients with coexistence of adverse lesions and hyperdiploidy should be considered high risk and treated accordingly.


Genes, Chromosomes and Cancer | 2015

A molecular diagnostic approach able to detect the recurrent genetic prognostic factors typical of presenting myeloma

Eileen Boyle; Paula Proszek; Martin Kaiser; Dil Begum; Nasrin Dahir; Suvi Savola; Christopher P. Wardell; Xavier Leleu; Fiona M. Ross; Laura Chiecchio; Gordon Cook; Mark T. Drayson; Richard G. Owen; John Ashcroft; Graham Jackson; J. A. Child; Faith E. Davies; Brian A. Walker; Gareth J. Morgan

Risk stratification in myeloma requires an accurate assessment of the presence of a range of molecular abnormalities including the differing IGH translocations and the recurrent copy number abnormalities that can impact clinical behavior. Currently, interphase fluorescence in situ hybridization is used to detect these abnormalities. High failure rates, slow turnaround, cost, and labor intensiveness make it difficult and expensive to use in routine clinical practice. Multiplex ligation‐dependent probe amplification (MLPA), a molecular approach based on a multiplex polymerase chain reaction method, offers an alternative for the assessment of copy number changes present in the myeloma genome. Here, we provide evidence showing that MLPA is a powerful tool for the efficient detection of copy number abnormalities and when combined with expression assays, MLPA can detect all of the prognostically relevant molecular events which characterize presenting myeloma. This approach opens the way for a molecular diagnostic strategy that is efficient, high throughput, and cost effective.


Clinical Cancer Research | 2016

The Spectrum and Clinical Impact of Epigenetic Modifier Mutations in Myeloma

Charlotte Pawlyn; Martin Kaiser; Christoph Heuck; Lorenzo Melchor; Christopher P. Wardell; Alex Murison; Shweta S. Chavan; David C. Johnson; Dil Begum; Nasrin M. Dahir; Paula Proszek; David A. Cairns; Eileen Boyle; John R Jones; Gordon Cook; Mark T. Drayson; Roger G. Owen; Walter Gregory; Graham Jackson; Bart Barlogie; Faith E. Davies; Brian A. Walker; Gareth J. Morgan

Purpose: Epigenetic dysregulation is known to be an important contributor to myeloma pathogenesis but, unlike other B-cell malignancies, the full spectrum of somatic mutations in epigenetic modifiers has not been reported previously. We sought to address this using the results from whole-exome sequencing in the context of a large prospective clinical trial of newly diagnosed patients and targeted sequencing in a cohort of previously treated patients for comparison. Experimental Design: Whole-exome sequencing analysis of 463 presenting myeloma cases entered in the UK NCRI Myeloma XI study and targeted sequencing analysis of 156 previously treated cases from the University of Arkansas for Medical Sciences (Little Rock, AR). We correlated the presence of mutations with clinical outcome from diagnosis and compared the mutations found at diagnosis with later stages of disease. Results: In diagnostic myeloma patient samples, we identify significant mutations in genes encoding the histone 1 linker protein, previously identified in other B-cell malignancies. Our data suggest an adverse prognostic impact from the presence of lesions in genes encoding DNA methylation modifiers and the histone demethylase KDM6A/UTX. The frequency of mutations in epigenetic modifiers appears to increase following treatment most notably in genes encoding histone methyltransferases and DNA methylation modifiers. Conclusions: Numerous mutations identified raise the possibility of targeted treatment strategies for patients either at diagnosis or relapse supporting the use of sequencing-based diagnostics in myeloma to help guide therapy as more epigenetic targeted agents become available. Clin Cancer Res; 22(23); 5783–94. ©2016 AACR.


Nature Communications | 2016

Rare disruptive mutations in ciliary function genes contribute to testicular cancer susceptibility

Kevin Litchfield; Max Levy; Darshna Dudakia; Paula Proszek; Claire Shipley; Sander G. Basten; Elizabeth A. Rapley; D. Timothy Bishop; Alison Reid; Robert Huddart; Peter Broderick; David Gonzalez de Castro; Simon O'Connor; Rachel H. Giles; Richard S. Houlston; Clare Turnbull

Testicular germ cell tumour (TGCT) is the most common cancer in young men. Here we sought to identify risk factors for TGCT by performing whole-exome sequencing on 328 TGCT cases from 153 families, 634 sporadic TGCT cases and 1,644 controls. We search for genes that are recurrently affected by rare variants (minor allele frequency <0.01) with potentially damaging effects and evidence of segregation in families. A total of 8.7% of TGCT families carry rare disruptive mutations in the cilia-microtubule genes (CMG) as compared with 0.5% of controls (P=2.1 × 10−8). The most significantly mutated CMG is DNAAF1 with biallelic inactivation and loss of DNAAF1 expression shown in tumours from carriers. DNAAF1 mutation as a cause of TGCT is supported by a dnaaf1hu255h(+/−) zebrafish model, which has a 94% risk of TGCT. Our data implicate cilia-microtubule inactivation as a cause of TGCT and provide evidence for CMGs as cancer susceptibility genes.


Leukemia | 2018

Prediction of outcome in newly diagnosed myeloma: a meta-analysis of the molecular profiles of 1905 trial patients

Vallari Shah; Amy Sherborne; Brian A. Walker; David C. Johnson; Eileen Boyle; Sidra Ellis; Dil Begum; Paula Proszek; John R Jones; Charlotte Pawlyn; Suvi Savola; Matthew W. Jenner; Mark T. Drayson; Roger G. Owen; Richard S. Houlston; David A. Cairns; Walter Gregory; Graham P. Cook; Faith E. Davies; Graham Jackson; Gareth J. Morgan; Martin Kaiser

Robust establishment of survival in multiple myeloma (MM) and its relationship to recurrent genetic aberrations is required as outcomes are variable despite apparent similar staging. We assayed copy number alterations (CNA) and translocations in 1036 patients from the NCRI Myeloma XI trial and linked these to overall survival (OS) and progression-free survival. Through a meta-anlysis of these data with data from MRC Myeloma IX trial, totalling 1905 newly diagnosed MM patients (NDMM), we confirm the association of t(4;14), t(14;16), t(14;20), del(17p) and gain(1q21) with poor prognosis with hazard ratios (HRs) for OS of 1.60 (P=4.77 × 10−7), 1.74 (P=0.0005), 1.90 (P=0.0089), 2.10 (P=8.86 × 10−14) and 1.68 (P=2.18 × 10−14), respectively. Patients with ‘double-hit’ defined by co-occurrence of at least two adverse lesions have an especially poor prognosis with HRs for OS of 2.67 (P=8.13 × 10−27) for all patients and 3.19 (P=1.23 × 10−18) for intensively treated patients. Using comprehensive CNA and translocation profiling in Myeloma XI we also demonstrate a strong association between t(4;14) and BIRC2/BIRC3 deletion (P=8.7 × 10−15), including homozygous deletion. Finally, we define distinct sub-groups of hyperdiploid MM, with either gain(1q21) and CCND2 overexpression (P<0.0001) or gain(11q25) and CCND1 overexpression (P<0.0001). Profiling multiple genetic lesions can identify MM patients likely to relapse early allowing stratification of treatment.


Cancer Discovery | 2018

Longitudinal Liquid Biopsy and Mathematical Modeling of Clonal Evolution Forecast Time to Treatment Failure in the PROSPECT-C Phase II Colorectal Cancer Clinical Trial

Khurum Khan; David Cunningham; Benjamin Werner; Georgios Vlachogiannis; Inmaculada Spiteri; Timon Heide; Javier Fernández Mateos; Alexandra Vatsiou; Andrea Lampis; Mahnaz Darvish Damavandi; Hazel Lote; Ian Said Huntingford; Somaieh Hedayat; Ian Chau; Nina Tunariu; Giulia Mentrasti; Francesco Trevisani; Sheela Rao; Gayathri Anandappa; David Watkins; Naureen Starling; J.M. Thomas; Clare Peckitt; Nasir Khan; Massimo Rugge; Ruwaida Begum; Blanka Hezelova; Annette Bryant; Thomas Jones; Paula Proszek

Sequential profiling of plasma cell-free DNA (cfDNA) holds immense promise for early detection of patient progression. However, how to exploit the predictive power of cfDNA as a liquid biopsy in the clinic remains unclear. RAS pathway aberrations can be tracked in cfDNA to monitor resistance to anti-EGFR monoclonal antibodies in patients with metastatic colorectal cancer. In this prospective phase II clinical trial of single-agent cetuximab in RAS wild-type patients, we combine genomic profiling of serial cfDNA and matched sequential tissue biopsies with imaging and mathematical modeling of cancer evolution. We show that a significant proportion of patients defined as RAS wild-type based on diagnostic tissue analysis harbor aberrations in the RAS pathway in pretreatment cfDNA and, in fact, do not benefit from EGFR inhibition. We demonstrate that primary and acquired resistance to cetuximab are often of polyclonal nature, and these dynamics can be observed in tissue and plasma. Furthermore, evolutionary modeling combined with frequent serial sampling of cfDNA allows prediction of the expected time to treatment failure in individual patients. This study demonstrates how integrating frequently sampled longitudinal liquid biopsies with a mathematical framework of tumor evolution allows individualized quantitative forecasting of progression, providing novel opportunities for adaptive personalized therapies.Significance: Liquid biopsies capture spatial and temporal heterogeneity underpinning resistance to anti-EGFR monoclonal antibodies in colorectal cancer. Dense serial sampling is needed to predict the time to treatment failure and generate a window of opportunity for intervention. Cancer Discov; 8(10); 1270-85. ©2018 AACR. See related commentary by Siravegna and Corcoran, p. 1213 This article is highlighted in the In This Issue feature, p. 1195.


Clinical Chemistry | 2018

Ultra-Sensitive Mutation Detection and Genome-Wide DNA Copy Number Reconstruction by Error-Corrected Circulating Tumor DNA Sequencing

Sonia Mansukhani; Louise J. Barber; Dimitrios Kleftogiannis; Sing Yu Moorcraft; Michael Davidson; Andrew Woolston; Paula Proszek; Beatrice Griffiths; Kerry Fenwick; Bram Herman; Nik Matthews; Ben O'Leary; Sanna Hulkki; David Gonzalez de Castro; Anisha Patel; Andrew Wotherspoon; Aleruchi Okachi; Isma Rana; Ruwaida Begum; Matthew N. Davies; Thomas Powles; Katharina von Loga; Michael Hubank; Nicholas C. Turner; David Watkins; Ian Chau; David Cunningham; Stefano Lise; Naureen Starling; Marco Gerlinger

BACKGROUND Circulating free DNA sequencing (cfDNA-Seq) can portray cancer genome landscapes, but highly sensitive and specific technologies are necessary to accurately detect mutations with often low variant frequencies. METHODS We developed a customizable hybrid-capture cfDNA-Seq technology using off-the-shelf molecular barcodes and a novel duplex DNA molecule identification tool for enhanced error correction. RESULTS Modeling based on cfDNA yields from 58 patients showed that this technology, requiring 25 ng of cfDNA, could be applied to >95% of patients with metastatic colorectal cancer (mCRC). cfDNA-Seq of a 32-gene, 163.3-kbp target region detected 100% of single-nucleotide variants, with 0.15% variant frequency in spike-in experiments. Molecular barcode error correction reduced false-positive mutation calls by 97.5%. In 28 consecutively analyzed patients with mCRC, 80 out of 91 mutations previously detected by tumor tissue sequencing were called in the cfDNA. Call rates were similar for point mutations and indels. cfDNA-Seq identified typical mCRC driver mutations in patients in whom biopsy sequencing had failed or did not include key mCRC driver genes. Mutations only called in cfDNA but undetectable in matched biopsies included a subclonal resistance driver mutation to anti-EGFR antibodies in KRAS, parallel evolution of multiple PIK3CA mutations in 2 cases, and TP53 mutations originating from clonal hematopoiesis. Furthermore, cfDNA-Seq off-target read analysis allowed simultaneous genome-wide copy number profile reconstruction in 20 of 28 cases. Copy number profiles were validated by low-coverage whole-genome sequencing. CONCLUSIONS This error-corrected, ultradeep cfDNA-Seq technology with a customizable target region and publicly available bioinformatics tools enables broad insights into cancer genomes and evolution. CLINICALTRIALSGOV IDENTIFIER NCT02112357.


Oncotarget | 2017

Molecular profiling of colorectal pulmonary metastases and primary tumours: implications for targeted treatment

Sing Yu Moorcraft; Thomas Jones; Brian A. Walker; George Ladas; Eleftheria Kalaitzaki; Lina Yuan; Ruwaida Begum; Zakaria Eltahir; Andrew Wotherspoon; Angeles Montero-Fernandez; Larissa Sena Teixeira Mendes; David Gonzalez de Castro; Sanna Hulkki Wilson; Paula Proszek; Ye M. To; Eliza A. Hawkes; Amitesh Roy; David Cunningham; Sheela Rao; David Watkins; Naureen Starling; Anne M. Bowcock; Ian Chau

This study aimed to molecularly characterise colorectal pulmonary metastases (PM) and investigate whether their molecular profiles were concordant with those of the primary tumour. Clinical data and archival formalin fixed paraffin embedded tissue samples were retrospectively collected from patients who underwent ≥ 1 pulmonary metastasectomies for colorectal cancer between 1997-2012. Primary tumour and metastatic samples were analysed using a targeted capture sequencing panel of 46 cancer-associated genes. The 5-year progression-free and overall survival rates for the 81 patients in this study were 32% (95% CI 22-42%) and 77% (95% CI 66-85%) respectively. Fifty-four patients had samples available from ≥ 1 PM, and sequencing data were successfully obtained from 33 PM from 24 patients. The most frequently mutated genes were APC (71%), KRAS (58%) and TP53 (46%). Seventy-three percent of the 15 patients with matched primary and PM samples and 6 of the 7 patients (86%) with data from ≥ 2 PM had concordant molecular profiles. The concordance for KRAS and NRAS was 100%. At our institutions, patients with resectable colorectal PM had a favourable prognosis. RAS mutations were commonly detected in PM and the molecular profiles of colorectal PM were highly concordant with the primary tumour.This study aimed to molecularly characterise colorectal pulmonary metastases (PM) and investigate whether their molecular profiles were concordant with those of the primary tumour. Clinical data and archival formalin fixed paraffin embedded tissue samples were retrospectively collected from patients who underwent ≥ 1 pulmonary metastasectomies for colorectal cancer between 1997–2012. Primary tumour and metastatic samples were analysed using a targeted capture sequencing panel of 46 cancer-associated genes. The 5-year progression-free and overall survival rates for the 81 patients in this study were 32% (95% CI 22–42%) and 77% (95% CI 66–85%) respectively. Fifty-four patients had samples available from ≥ 1 PM, and sequencing data were successfully obtained from 33 PM from 24 patients. The most frequently mutated genes were APC (71%), KRAS (58%) and TP53 (46%). Seventy-three percent of the 15 patients with matched primary and PM samples and 6 of the 7 patients (86%) with data from ≥ 2 PM had concordant molecular profiles. The concordance for KRAS and NRAS was 100%. At our institutions, patients with resectable colorectal PM had a favourable prognosis. RAS mutations were commonly detected in PM and the molecular profiles of colorectal PM were highly concordant with the primary tumour.

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Brian A. Walker

University of Arkansas for Medical Sciences

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Dil Begum

Institute of Cancer Research

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Faith E. Davies

University of Arkansas for Medical Sciences

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Gareth J. Morgan

University of Arkansas for Medical Sciences

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Eileen Boyle

Institute of Cancer Research

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Martin Kaiser

Institute of Cancer Research

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Charlotte Pawlyn

Institute of Cancer Research

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