Publications by authors named "Conrad Leonard"

28 Publications

  • Page 1 of 1

Considerations for using population frequency data in germline variant interpretation: Cancer syndrome genes as a model.

Hum Mutat 2021 Feb 18. Epub 2021 Feb 18.

Genetics & Computational Biology, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.

Aggregate population genomics data from large cohorts are vital for assessing germline variant pathogenicity. However, there are no specifications on how sequencing quality metrics should be considered, and whether exome-derived and genome-derived allele frequencies should be considered in isolation. Germline genome sequence data were simulated for nine read-depths to identify a minimum acceptable read-depth for detecting variants. gnomAD exome-derived and genome-derived datasets were assessed for read-depth, for six key cancer genes selected for variant curation by ClinGen expert panels. Non-Finnish European allele frequency (AF) or filter AF of coding variants in these genes, assigned into frequency bins using modified ACMG-AMP criteria, was compared between exome-derived and genome-derived datasets. A 30X read-depth achieved acceptable precision and recall for detection of substitutions, but poor recall for small insertions/deletions. Exome-derived and genome-derived datasets exhibited low read-depth for different gene exons. Individual variants were mostly assigned to non-divergent AF bins (>95%) or filter AF bins (>97%). Two major bin divergences were resolved by applying the minimal acceptable read-depth threshold. These findings show the importance of assessing read-depth separately for population datasets sourced from different short-read sequencing technologies before assigning a frequency-based ACMG-AMP classification code for variant interpretation.
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http://dx.doi.org/10.1002/humu.24183DOI Listing
February 2021

DNA methylation patterns identify subgroups of pancreatic neuroendocrine tumors with clinical association.

Commun Biol 2021 Feb 3;4(1):155. Epub 2021 Feb 3.

ARC-Net Centre for Applied Research on Cancer, University and Hospital Trust of Verona, Verona, 37134, Italy.

Here we report the DNA methylation profile of 84 sporadic pancreatic neuroendocrine tumors (PanNETs) with associated clinical and genomic information. We identified three subgroups of PanNETs, termed T1, T2 and T3, with distinct patterns of methylation. The T1 subgroup was enriched for functional tumors and ATRX, DAXX and MEN1 wild-type genotypes. The T2 subgroup contained tumors with mutations in ATRX, DAXX and MEN1 and recurrent patterns of chromosomal losses in half of the genome with no association between regions with recurrent loss and methylation levels. T2 tumors were larger and had lower methylation in the MGMT gene body, which showed positive correlation with gene expression. The T3 subgroup harboured mutations in MEN1 with recurrent loss of chromosome 11, was enriched for grade G1 tumors and showed histological parameters associated with better prognosis. Our results suggest a role for methylation in both driving tumorigenesis and potentially stratifying prognosis in PanNETs.
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http://dx.doi.org/10.1038/s42003-020-01469-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7859232PMC
February 2021

Whole-genome sequencing of acral melanoma reveals genomic complexity and diversity.

Nat Commun 2020 10 16;11(1):5259. Epub 2020 Oct 16.

QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.

To increase understanding of the genomic landscape of acral melanoma, a rare form of melanoma occurring on palms, soles or nail beds, whole genome sequencing of 87 tumors with matching transcriptome sequencing for 63 tumors was performed. Here we report that mutational signature analysis reveals a subset of tumors, mostly subungual, with an ultraviolet radiation signature. Significantly mutated genes are BRAF, NRAS, NF1, NOTCH2, PTEN and TYRP1. Mutations and amplification of KIT are also common. Structural rearrangement and copy number signatures show that whole genome duplication, aneuploidy and complex rearrangements are common. Complex rearrangements occur recurrently and are associated with amplification of TERT, CDK4, MDM2, CCND1, PAK1 and GAB2, indicating potential therapeutic options.
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http://dx.doi.org/10.1038/s41467-020-18988-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7567804PMC
October 2020

Using whole-genome sequencing data to derive the homologous recombination deficiency scores.

NPJ Breast Cancer 2020 7;6:33. Epub 2020 Aug 7.

Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, QLD Australia.

The homologous recombination deficiency (HRD) score was developed using whole-genome copy number data derived from arrays as a way to infer deficiency in the homologous recombination DNA damage repair pathway (in particular or deficiency) in breast cancer samples. The score has utility in understanding tumour biology and may be indicative of response to certain therapeutic strategies. Studies have used whole-exome sequencing to derive the HRD score, however, with increasing use of whole-genome sequencing (WGS) to characterise tumour genomes, there has yet to be a comprehensive comparison between HRD scores derived by array versus WGS. Here we demonstrate that there is both a high correlation and a good agreement between array- and WGS-derived HRD scores and between the scores derived from WGS and downsampled WGS to represent shallow WGS. For samples with an HRD score close to threshold for stratifying HR proficiency or deficiency there was however some disagreement in the HR status between array and WGS data, highlighting the importance of not relying on a single method of ascertaining the homologous recombination status of a tumour.
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http://dx.doi.org/10.1038/s41523-020-0172-0DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7414867PMC
August 2020

Whole genome landscapes of uveal melanoma show an ultraviolet radiation signature in iris tumours.

Nat Commun 2020 05 15;11(1):2408. Epub 2020 May 15.

QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.

Uveal melanoma (UM) is the most common intraocular tumour in adults and despite surgical or radiation treatment of primary tumours, ~50% of patients progress to metastatic disease. Therapeutic options for metastatic UM are limited, with clinical trials having little impact. Here we perform whole-genome sequencing (WGS) of 103 UM from all sites of the uveal tract (choroid, ciliary body, iris). While most UM have low tumour mutation burden (TMB), two subsets with high TMB are seen; one driven by germline MBD4 mutation, and another by ultraviolet radiation (UVR) exposure, which is restricted to iris UM. All but one tumour have a known UM driver gene mutation (GNAQ, GNA11, BAP1, PLCB4, CYSLTR2, SF3B1, EIF1AX). We identify three other significantly mutated genes (TP53, RPL5 and CENPE).
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http://dx.doi.org/10.1038/s41467-020-16276-8DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7229209PMC
May 2020

Running Genomic Analyses in the Cloud.

Stud Health Technol Inform 2019 Aug;266:149-155

QIMR Berghofer Medical Research Institute, Brisbane, Australia.

Genomic testing is rapidly moving into healthcare practice. However it comes with informatics challenges that the healthcare system has not previously faced - the raw data can be hundreds of gigabytes per test, the compute demands can be thousands of CPU hours, and the test can reveal deeply private health-srelated information that can have implications for anyone related to the person tested. While not a panacea, cloud computing has particular properties that can ameliorate some of these difficulties. This paper presents some of the key lessons learned while deploying a set of genomic analyses on cloud computing for Queensland Genomics.
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http://dx.doi.org/10.3233/SHTI190787DOI Listing
August 2019

Whole-genome landscape of mucosal melanoma reveals diverse drivers and therapeutic targets.

Nat Commun 2019 07 18;10(1):3163. Epub 2019 Jul 18.

Melanoma Institute Australia, The University of Sydney, Sydney, NSW, 2065, Australia.

Knowledge of key drivers and therapeutic targets in mucosal melanoma is limited due to the paucity of comprehensive mutation data on this rare tumor type. To better understand the genomic landscape of mucosal melanoma, here we describe whole genome sequencing analysis of 67 tumors and validation of driver gene mutations by exome sequencing of 45 tumors. Tumors have a low point mutation burden and high numbers of structural variants, including recurrent structural rearrangements targeting TERT, CDK4 and MDM2. Significantly mutated genes are NRAS, BRAF, NF1, KIT, SF3B1, TP53, SPRED1, ATRX, HLA-A and CHD8. SF3B1 mutations occur more commonly in female genital and anorectal melanomas and CTNNB1 mutations implicate a role for WNT signaling defects in the genesis of some mucosal melanomas. TERT aberrations and ATRX mutations are associated with alterations in telomere length. Mutation profiles of the majority of mucosal melanomas suggest potential susceptibility to CDK4/6 and/or MEK inhibitors.
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http://dx.doi.org/10.1038/s41467-019-11107-xDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6639323PMC
July 2019

Complex structural rearrangements are present in high-grade dysplastic Barrett's oesophagus samples.

BMC Med Genomics 2019 02 4;12(1):31. Epub 2019 Feb 4.

Surgical Oncology Group, Diamantina Institute, The University of Queensland, Translational Research Institute, Woolloongabba, Brisbane, QLD, 4102, Australia.

Background: Oesophageal adenocarcinoma (EAC) incidence is increasing and has a poor survival rate. Barrett's oesophagus (BE) is a precursor condition that is associated with EAC and often occurs in conjunction with chronic gastro-oesophageal reflux, however many individuals diagnosed with BE never progress to cancer. An understanding of the genomic features of BE and EAC may help with the early identification of at-risk individuals.

Methods: In this study, we assessed the genomic features of 16 BE samples using whole-genome sequencing. These included non-dysplastic samples collected at two time-points from two BE patients who had not progressed to EAC over several years. Seven other non-dysplastic samples and five dysplastic BE samples with high-grade dysplasia were also examined. We compared the genome profiles of these 16 BE samples with 22 EAC samples.

Results: We observed that samples from the two non-progressor individuals had low numbers of somatic single nucleotide variants, indels and structural variation events compared to dysplastic and the remaining non-dysplastic BE. EAC had the highest level of somatic genomic variations. Mutational signature 17, which is common in EAC, was also present in non-dysplastic and dysplastic BE, but was not present in the non-progressors. Many dysplastic samples had mutations in genes previously reported in EAC, whereas only mutations in CDKN2A or in the fragile site genes appeared common in non-dysplastic samples. Rearrangement signatures were used to identify a signature associated with localised complex events such as chromothripsis and breakage fusion-bridge that are characteristic of EACs. Two dysplastic BE samples had a high contribution of this signature and contained evidence of localised rearrangements. Two other dysplastic samples also had regions of localised structural rearrangements. There was no evidence for complex events in non-dysplastic samples.

Conclusions: The presence of complex localised rearrangements in dysplastic samples indicates a need for further investigations into the role such events play in the progression from BE to EAC.
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http://dx.doi.org/10.1186/s12920-019-0476-9DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360790PMC
February 2019

Phenotypic and molecular dissection of metaplastic breast cancer and the prognostic implications.

J Pathol 2019 02 20;247(2):214-227. Epub 2018 Dec 20.

UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.

Metaplastic breast carcinoma (MBC) is relatively rare but accounts for a significant proportion of global breast cancer mortality. This group is extremely heterogeneous and by definition exhibits metaplastic change to squamous and/or mesenchymal elements, including spindle, squamous, chondroid, osseous, and rhabdomyoid features. Clinically, patients are more likely to present with large primary tumours (higher stage), distant metastases, and overall, have shorter 5-year survival compared to invasive carcinomas of no special type. The current World Health Organisation (WHO) diagnostic classification for this cancer type is based purely on morphology - the biological basis and clinical relevance of its seven sub-categories are currently unclear. By establishing the Asia-Pacific MBC (AP-MBC) Consortium, we amassed a large series of MBCs (n = 347) and analysed the mutation profile of a subset, expression of 14 breast cancer biomarkers, and clinicopathological correlates, contextualising our findings within the WHO guidelines. The most significant indicators of poor prognosis were large tumour size (T3; p = 0.004), loss of cytokeratin expression (lack of staining with pan-cytokeratin AE1/3 antibody; p = 0.007), EGFR overexpression (p = 0.01), and for 'mixed' MBC, the presence of more than three distinct morphological entities (p = 0.007). Conversely, fewer morphological components and EGFR negativity were favourable indicators. Exome sequencing of 30 cases confirmed enrichment of TP53 and PTEN mutations, and intriguingly, concurrent mutations of TP53, PTEN, and PIK3CA. Mutations in neurofibromatosis-1 (NF1) were also overrepresented [16.7% MBCs compared to ∼5% of breast cancers overall; enrichment p = 0.028; mutation significance p = 0.006 (OncodriveFM)], consistent with published case reports implicating germline NF1 mutations in MBC risk. Taken together, we propose a practically minor but clinically significant modification to the guidelines: all WHO_1 mixed-type tumours should have the number of morphologies present recorded, as a mechanism for refining prognosis, and that EGFR and pan-cytokeratin expression are important prognostic markers. Copyright © 2018 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
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http://dx.doi.org/10.1002/path.5184DOI Listing
February 2019

Whole genome sequencing of melanomas in adolescent and young adults reveals distinct mutation landscapes and the potential role of germline variants in disease susceptibility.

Int J Cancer 2019 03 21;144(5):1049-1060. Epub 2018 Nov 21.

Melanoma Institute Australia, The University of Sydney, Sydney, Australia.

Cutaneous melanoma accounts for at least >10% of all cancers in adolescents and young adults (AYA, 15-30 years of age) in Western countries. To date, little is known about the correlations between germline variants and somatic mutations and mutation signatures in AYA melanoma patients that might explain why they have developed a cancer predominantly affecting those over 65 years of age. We performed genomic analysis of 50 AYA melanoma patients (onset 10-30 years, median 20); 25 underwent whole genome sequencing (WGS) of both tumor and germline DNA, exome data were retrieved from 12 TCGA AYA cases, and targeted DNA sequencing was conducted on 13 cases. The AYA cases were compared with WGS data from 121 adult cutaneous melanomas. Similar to mature adult cutaneous melanomas, AYA melanomas showed a high mutation burden and mutation signatures of ultraviolet radiation (UVR) damage. The frequencies of somatic mutations in BRAF (96%) and PTEN (36%) in the AYA WGS cohort were double the rates observed in adult melanomas (Q < 6.0 × 10 and 0.028, respectively). Furthermore, AYA melanomas contained a higher proportion of non-UVR-related mutation signatures than mature adult melanomas as a proportion of total mutation burden (p = 2.0 × 10 ). Interestingly, these non-UVR mutation signatures relate to APOBEC or mismatch repair pathways, and germline variants in related genes were observed in some of these cases. We conclude that AYA melanomas harbor some of the same molecular aberrations and mutagenic insults occurring in older adults, but in different proportions. Germline variants that may have conferred disease susceptibility correlated with somatic mutation signatures in a subset of AYA melanomas.
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http://dx.doi.org/10.1002/ijc.31791DOI Listing
March 2019

Germline and somatic variant identification using BGISEQ-500 and HiSeq X Ten whole genome sequencing.

PLoS One 2018 10;13(1):e0190264. Epub 2018 Jan 10.

Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.

Technological innovation and increased affordability have contributed to the widespread adoption of genome sequencing technologies in biomedical research. In particular large cancer research consortia have embraced next generation sequencing, and have used the technology to define the somatic mutation landscape of multiple cancer types. These studies have primarily utilised the Illumina HiSeq platforms. In this study we performed whole genome sequencing of three malignant pleural mesothelioma and matched normal samples using a new platform, the BGISEQ-500, and compared the results obtained with Illumina HiSeq X Ten. Germline and somatic, single nucleotide variants and small insertions or deletions were independently identified from data aligned human genome reference. The BGISEQ-500 and HiSeq X Ten platforms showed high concordance for germline calls with genotypes from SNP arrays (>99%). The germline and somatic single nucleotide variants identified in both sequencing platforms were highly concordant (86% and 72% respectively). These results indicate the potential applicability of the BGISEQ-500 platform for the identification of somatic and germline single nucleotide variants by whole genome sequencing. The BGISEQ-500 datasets described here represent the first publicly-available cancer genome sequencing performed using this platform.
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0190264PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5761881PMC
February 2018

Corrigendum: Whole-genome landscape of pancreatic neuroendocrine tumours.

Authors:
Aldo Scarpa David K Chang Katia Nones Vincenzo Corbo Ann-Marie Patch Peter Bailey Rita T Lawlor Amber L Johns David K Miller Andrea Mafficini Borislav Rusev Maria Scardoni Davide Antonello Stefano Barbi Katarzyna O Sikora Sara Cingarlini Caterina Vicentini Skye McKay Michael C J Quinn Timothy J C Bruxner Angelika N Christ Ivon Harliwong Senel Idrisoglu Suzanne McLean Craig Nourse Ehsan Nourbakhsh Peter J Wilson Matthew J Anderson J Lynn Fink Felicity Newell Nick Waddell Oliver Holmes Stephen H Kazakoff Conrad Leonard Scott Wood Qinying Xu Shivashankar Hiriyur Nagaraj Eliana Amato Irene Dalai Samantha Bersani Ivana Cataldo Angelo P Dei Tos Paola Capelli Maria Vittoria Davì Luca Landoni Anna Malpaga Marco Miotto Vicki L J Whitehall Barbara A Leggett Janelle L Harris Jonathan Harris Marc D Jones Jeremy Humphris Lorraine A Chantrill Venessa Chin Adnan M Nagrial Marina Pajic Christopher J Scarlett Andreia Pinho Ilse Rooman Christopher Toon Jianmin Wu Mark Pinese Mark Cowley Andrew Barbour Amanda Mawson Emily S Humphrey Emily K Colvin Angela Chou Jessica A Lovell Nigel B Jamieson Fraser Duthie Marie-Claude Gingras William E Fisher Rebecca A Dagg Loretta M S Lau Michael Lee Hilda A Pickett Roger R Reddel Jaswinder S Samra James G Kench Neil D Merrett Krishna Epari Nam Q Nguyen Nikolajs Zeps Massimo Falconi Michele Simbolo Giovanni Butturini George Van Buren Stefano Partelli Matteo Fassan Kum Kum Khanna Anthony J Gill David A Wheeler Richard A Gibbs Elizabeth A Musgrove Claudio Bassi Giampaolo Tortora Paolo Pederzoli John V Pearson Nicola Waddell Andrew V Biankin Sean M Grimmond

Nature 2017 10 27;550(7677):548. Epub 2017 Sep 27.

This corrects the article DOI: 10.1038/nature21063.
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http://dx.doi.org/10.1038/nature24026DOI Listing
October 2017

Whole-genome landscapes of major melanoma subtypes.

Nature 2017 05 3;545(7653):175-180. Epub 2017 May 3.

Melanoma Institute Australia, The University of Sydney, North Sydney, Sydney, New South Wales 2065, Australia.

Melanoma of the skin is a common cancer only in Europeans, whereas it arises in internal body surfaces (mucosal sites) and on the hands and feet (acral sites) in people throughout the world. Here we report analysis of whole-genome sequences from cutaneous, acral and mucosal subtypes of melanoma. The heavily mutated landscape of coding and non-coding mutations in cutaneous melanoma resolved novel signatures of mutagenesis attributable to ultraviolet radiation. However, acral and mucosal melanomas were dominated by structural changes and mutation signatures of unknown aetiology, not previously identified in melanoma. The number of genes affected by recurrent mutations disrupting non-coding sequences was similar to that affected by recurrent mutations to coding sequences. Significantly mutated genes included BRAF, CDKN2A, NRAS and TP53 in cutaneous melanoma, BRAF, NRAS and NF1 in acral melanoma and SF3B1 in mucosal melanoma. Mutations affecting the TERT promoter were the most frequent of all; however, neither they nor ATRX mutations, which correlate with alternative telomere lengthening, were associated with greater telomere length. Most melanomas had potentially actionable mutations, most in components of the mitogen-activated protein kinase and phosphoinositol kinase pathways. The whole-genome mutation landscape of melanoma reveals diverse carcinogenic processes across its subtypes, some unrelated to sun exposure, and extends potential involvement of the non-coding genome in its pathogenesis.
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http://dx.doi.org/10.1038/nature22071DOI Listing
May 2017

Lost in translation: returning germline genetic results in genome-scale cancer research.

Genome Med 2017 04 28;9(1):41. Epub 2017 Apr 28.

Cancer Research Program, Garvan Institute of Medical Research, Kinghorn Cancer Centre, Sydney, Australia.

Background: The return of research results (RoR) remains a complex and well-debated issue. Despite the debate, actual data related to the experience of giving individual results back, and the impact these results may have on clinical care and health outcomes, is sorely lacking. Through the work of the Australian Pancreatic Cancer Genome Initiative (APGI) we: (1) delineate the pathway back to the patient where actionable research data were identified; and (2) report the clinical utilisation of individual results returned. Using this experience, we discuss barriers and opportunities associated with a comprehensive process of RoR in large-scale genomic research that may be useful for others developing their own policies.

Methods: We performed whole-genome (n = 184) and exome (n = 208) sequencing of matched tumour-normal DNA pairs from 392 patients with sporadic pancreatic cancer (PC) as part of the APGI. We identified pathogenic germline mutations in candidate genes (n = 130) with established predisposition to PC or medium-high penetrance genes with well-defined cancer associated syndromes or phenotypes. Variants from candidate genes were annotated and classified according to international guidelines. Variants were considered actionable if clinical utility was established, with regard to prevention, diagnosis, prognostication and/or therapy.

Results: A total of 48,904 germline variants were identified, with 2356 unique variants undergoing annotation and in silico classification. Twenty cases were deemed actionable and were returned via previously described RoR framework, representing an actionable finding rate of 5.1%. Overall, 1.78% of our cohort experienced clinical benefit from RoR.

Conclusion: Returning research results within the context of large-scale genomics research is a labour-intensive, highly variable, complex operation. Results that warrant action are not infrequent, but the prevalence of those who experience a clinical difference as a result of returning individual results is currently low.
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http://dx.doi.org/10.1186/s13073-017-0430-4DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408494PMC
April 2017

Whole-genome landscape of pancreatic neuroendocrine tumours.

Authors:
Aldo Scarpa David K Chang Katia Nones Vincenzo Corbo Ann-Marie Patch Peter Bailey Rita T Lawlor Amber L Johns David K Miller Andrea Mafficini Borislav Rusev Maria Scardoni Davide Antonello Stefano Barbi Katarzyna O Sikora Sara Cingarlini Caterina Vicentini Skye McKay Michael C J Quinn Timothy J C Bruxner Angelika N Christ Ivon Harliwong Senel Idrisoglu Suzanne McLean Craig Nourse Ehsan Nourbakhsh Peter J Wilson Matthew J Anderson J Lynn Fink Felicity Newell Nick Waddell Oliver Holmes Stephen H Kazakoff Conrad Leonard Scott Wood Qinying Xu Shivashankar Hiriyur Nagaraj Eliana Amato Irene Dalai Samantha Bersani Ivana Cataldo Angelo P Dei Tos Paola Capelli Maria Vittoria Davì Luca Landoni Anna Malpaga Marco Miotto Vicki L J Whitehall Barbara A Leggett Janelle L Harris Jonathan Harris Marc D Jones Jeremy Humphris Lorraine A Chantrill Venessa Chin Adnan M Nagrial Marina Pajic Christopher J Scarlett Andreia Pinho Ilse Rooman Christopher Toon Jianmin Wu Mark Pinese Mark Cowley Andrew Barbour Amanda Mawson Emily S Humphrey Emily K Colvin Angela Chou Jessica A Lovell Nigel B Jamieson Fraser Duthie Marie-Claude Gingras William E Fisher Rebecca A Dagg Loretta M S Lau Michael Lee Hilda A Pickett Roger R Reddel Jaswinder S Samra James G Kench Neil D Merrett Krishna Epari Nam Q Nguyen Nikolajs Zeps Massimo Falconi Michele Simbolo Giovanni Butturini George Van Buren Stefano Partelli Matteo Fassan Kum Kum Khanna Anthony J Gill David A Wheeler Richard A Gibbs Elizabeth A Musgrove Claudio Bassi Giampaolo Tortora Paolo Pederzoli John V Pearson Nicola Waddell Andrew V Biankin Sean M Grimmond

Nature 2017 03 15;543(7643):65-71. Epub 2017 Feb 15.

University of Melbourne Centre for Cancer Research, University of Melbourne, Melbourne, 3010, Victoria, Australia.

The diagnosis of pancreatic neuroendocrine tumours (PanNETs) is increasing owing to more sensitive detection methods, and this increase is creating challenges for clinical management. We performed whole-genome sequencing of 102 primary PanNETs and defined the genomic events that characterize their pathogenesis. Here we describe the mutational signatures they harbour, including a deficiency in G:C > T:A base excision repair due to inactivation of MUTYH, which encodes a DNA glycosylase. Clinically sporadic PanNETs contain a larger-than-expected proportion of germline mutations, including previously unreported mutations in the DNA repair genes MUTYH, CHEK2 and BRCA2. Together with mutations in MEN1 and VHL, these mutations occur in 17% of patients. Somatic mutations, including point mutations and gene fusions, were commonly found in genes involved in four main pathways: chromatin remodelling, DNA damage repair, activation of mTOR signalling (including previously undescribed EWSR1 gene fusions), and telomere maintenance. In addition, our gene expression analyses identified a subgroup of tumours associated with hypoxia and HIF signalling.
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http://dx.doi.org/10.1038/nature21063DOI Listing
March 2017

Hypermutation In Pancreatic Cancer.

Gastroenterology 2017 01 15;152(1):68-74.e2. Epub 2016 Nov 15.

Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Glasgow, Scotland, United Kingdom; Department of Surgery, Bankstown Hospital, Bankstown, Sydney, New South Wales, Australia; South Western Sydney Clinical School, Faculty of Medicine, University of New South Wales Australia, Liverpool, New South Wales, Australia; West of Scotland Pancreatic Unit, Glasgow Royal Infirmary, Glasgow, United Kingdom. Electronic address:

Pancreatic cancer is molecularly diverse, with few effective therapies. Increased mutation burden and defective DNA repair are associated with response to immune checkpoint inhibitors in several other cancer types. We interrogated 385 pancreatic cancer genomes to define hypermutation and its causes. Mutational signatures inferring defects in DNA repair were enriched in those with the highest mutation burdens. Mismatch repair deficiency was identified in 1% of tumors harboring different mechanisms of somatic inactivation of MLH1 and MSH2. Defining mutation load in individual pancreatic cancers and the optimal assay for patient selection may inform clinical trial design for immunotherapy in pancreatic cancer.
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http://dx.doi.org/10.1053/j.gastro.2016.09.060DOI Listing
January 2017

Genomic analyses identify molecular subtypes of pancreatic cancer.

Authors:
Peter Bailey David K Chang Katia Nones Amber L Johns Ann-Marie Patch Marie-Claude Gingras David K Miller Angelika N Christ Tim J C Bruxner Michael C Quinn Craig Nourse L Charles Murtaugh Ivon Harliwong Senel Idrisoglu Suzanne Manning Ehsan Nourbakhsh Shivangi Wani Lynn Fink Oliver Holmes Venessa Chin Matthew J Anderson Stephen Kazakoff Conrad Leonard Felicity Newell Nick Waddell Scott Wood Qinying Xu Peter J Wilson Nicole Cloonan Karin S Kassahn Darrin Taylor Kelly Quek Alan Robertson Lorena Pantano Laura Mincarelli Luis N Sanchez Lisa Evers Jianmin Wu Mark Pinese Mark J Cowley Marc D Jones Emily K Colvin Adnan M Nagrial Emily S Humphrey Lorraine A Chantrill Amanda Mawson Jeremy Humphris Angela Chou Marina Pajic Christopher J Scarlett Andreia V Pinho Marc Giry-Laterriere Ilse Rooman Jaswinder S Samra James G Kench Jessica A Lovell Neil D Merrett Christopher W Toon Krishna Epari Nam Q Nguyen Andrew Barbour Nikolajs Zeps Kim Moran-Jones Nigel B Jamieson Janet S Graham Fraser Duthie Karin Oien Jane Hair Robert Grützmann Anirban Maitra Christine A Iacobuzio-Donahue Christopher L Wolfgang Richard A Morgan Rita T Lawlor Vincenzo Corbo Claudio Bassi Borislav Rusev Paola Capelli Roberto Salvia Giampaolo Tortora Debabrata Mukhopadhyay Gloria M Petersen Donna M Munzy William E Fisher Saadia A Karim James R Eshleman Ralph H Hruban Christian Pilarsky Jennifer P Morton Owen J Sansom Aldo Scarpa Elizabeth A Musgrove Ulla-Maja Hagbo Bailey Oliver Hofmann Robert L Sutherland David A Wheeler Anthony J Gill Richard A Gibbs John V Pearson Nicola Waddell Andrew V Biankin Sean M Grimmond

Nature 2016 Mar 24;531(7592):47-52. Epub 2016 Feb 24.

Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia.

Integrated genomic analysis of 456 pancreatic ductal adenocarcinomas identified 32 recurrently mutated genes that aggregate into 10 pathways: KRAS, TGF-β, WNT, NOTCH, ROBO/SLIT signalling, G1/S transition, SWI-SNF, chromatin modification, DNA repair and RNA processing. Expression analysis defined 4 subtypes: (1) squamous; (2) pancreatic progenitor; (3) immunogenic; and (4) aberrantly differentiated endocrine exocrine (ADEX) that correlate with histopathological characteristics. Squamous tumours are enriched for TP53 and KDM6A mutations, upregulation of the TP63∆N transcriptional network, hypermethylation of pancreatic endodermal cell-fate determining genes and have a poor prognosis. Pancreatic progenitor tumours preferentially express genes involved in early pancreatic development (FOXA2/3, PDX1 and MNX1). ADEX tumours displayed upregulation of genes that regulate networks involved in KRAS activation, exocrine (NR5A2 and RBPJL), and endocrine differentiation (NEUROD1 and NKX2-2). Immunogenic tumours contained upregulated immune networks including pathways involved in acquired immune suppression. These data infer differences in the molecular evolution of pancreatic cancer subtypes and identify opportunities for therapeutic development.
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http://dx.doi.org/10.1038/nature16965DOI Listing
March 2016

Integrated genomic and transcriptomic analysis of human brain metastases identifies alterations of potential clinical significance.

J Pathol 2015 Nov 19;237(3):363-78. Epub 2015 Aug 19.

University of Queensland, UQ Centre for Clinical Research, Herston, Queensland, Australia.

Treatment options for patients with brain metastases (BMs) have limited efficacy and the mortality rate is virtually 100%. Targeted therapy is critically under-utilized, and our understanding of mechanisms underpinning metastatic outgrowth in the brain is limited. To address these deficiencies, we investigated the genomic and transcriptomic landscapes of 36 BMs from breast, lung, melanoma and oesophageal cancers, using DNA copy-number analysis and exome- and RNA-sequencing. The key findings were as follows. (a) Identification of novel candidates with possible roles in BM development, including the significantly mutated genes DSC2, ST7, PIK3R1 and SMC5, and the DNA repair, ERBB-HER signalling, axon guidance and protein kinase-A signalling pathways. (b) Mutational signature analysis was applied to successfully identify the primary cancer type for two BMs with unknown origins. (c) Actionable genomic alterations were identified in 31/36 BMs (86%); in one case we retrospectively identified ERBB2 amplification representing apparent HER2 status conversion, then confirmed progressive enrichment for HER2-positivity across four consecutive metastatic deposits by IHC and SISH, resulting in the deployment of HER2-targeted therapy for the patient. (d) In the ERBB/HER pathway, ERBB2 expression correlated with ERBB3 (r(2)  = 0.496; p < 0.0001) and HER3 and HER4 were frequently activated in an independent cohort of 167 archival BM from seven primary cancer types: 57.6% and 52.6% of cases were phospho-HER3(Y1222) or phospho-HER4(Y1162) membrane-positive, respectively. The HER3 ligands NRG1/2 were barely detectable by RNAseq, with NRG1 (8p12) genomic loss in 63.6% breast cancer-BMs, suggesting a microenvironmental source of ligand. In summary, this is the first study to characterize the genomic landscapes of BM. The data revealed novel candidates, potential clinical applications for genomic profiling of resectable BMs, and highlighted the possibility of therapeutically targeting HER3, which is broadly over-expressed and activated in BMs, independent of primary site and systemic therapy.
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http://dx.doi.org/10.1002/path.4583DOI Listing
November 2015

Whole-genome characterization of chemoresistant ovarian cancer.

Nature 2015 May;521(7553):489-94

1] Peter MacCallum Cancer Centre, East Melbourne, Victoria 3002, Australia [2] Department of Pathology, University of Melbourne, Parkville, Victoria 3052, Australia [3] Sir Peter MacCallum Cancer Centre Department of Oncology, University of Melbourne, Parkville, Victoria 3052, Australia [4] Ovarian Cancer Action Research Centre, Department of Surgery and Cancer, Imperial College London, London W12 0HS, UK [5] Department of Biochemistry and Molecular Biology, University of Melbourne, Parkville, Victoria 3052, Australia.

Patients with high-grade serous ovarian cancer (HGSC) have experienced little improvement in overall survival, and standard treatment has not advanced beyond platinum-based combination chemotherapy, during the past 30 years. To understand the drivers of clinical phenotypes better, here we use whole-genome sequencing of tumour and germline DNA samples from 92 patients with primary refractory, resistant, sensitive and matched acquired resistant disease. We show that gene breakage commonly inactivates the tumour suppressors RB1, NF1, RAD51B and PTEN in HGSC, and contributes to acquired chemotherapy resistance. CCNE1 amplification was common in primary resistant and refractory disease. We observed several molecular events associated with acquired resistance, including multiple independent reversions of germline BRCA1 or BRCA2 mutations in individual patients, loss of BRCA1 promoter methylation, an alteration in molecular subtype, and recurrent promoter fusion associated with overexpression of the drug efflux pump MDR1.
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http://dx.doi.org/10.1038/nature14410DOI Listing
May 2015

Whole genomes redefine the mutational landscape of pancreatic cancer.

Nature 2015 Feb;518(7540):495-501

1] Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, Queensland 4072, Australia [2] Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, University of Glasgow, Garscube Estate, Switchback Road, Bearsden, Glasgow G61 1BD, UK.

Pancreatic cancer remains one of the most lethal of malignancies and a major health burden. We performed whole-genome sequencing and copy number variation (CNV) analysis of 100 pancreatic ductal adenocarcinomas (PDACs). Chromosomal rearrangements leading to gene disruption were prevalent, affecting genes known to be important in pancreatic cancer (TP53, SMAD4, CDKN2A, ARID1A and ROBO2) and new candidate drivers of pancreatic carcinogenesis (KDM6A and PREX2). Patterns of structural variation (variation in chromosomal structure) classified PDACs into 4 subtypes with potential clinical utility: the subtypes were termed stable, locally rearranged, scattered and unstable. A significant proportion harboured focal amplifications, many of which contained druggable oncogenes (ERBB2, MET, FGFR1, CDK6, PIK3R3 and PIK3CA), but at low individual patient prevalence. Genomic instability co-segregated with inactivation of DNA maintenance genes (BRCA1, BRCA2 or PALB2) and a mutational signature of DNA damage repair deficiency. Of 8 patients who received platinum therapy, 4 of 5 individuals with these measures of defective DNA maintenance responded.
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http://dx.doi.org/10.1038/nature14169DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4523082PMC
February 2015

Genomic catastrophes frequently arise in esophageal adenocarcinoma and drive tumorigenesis.

Nat Commun 2014 Oct 29;5:5224. Epub 2014 Oct 29.

Surgical Oncology Group, School of Medicine, The University of Queensland, Translational Research Institute at the Princess Alexandra Hospital, Woolloongabba, Brisbane, Queensland 4102, Australia.

Oesophageal adenocarcinoma (EAC) incidence is rapidly increasing in Western countries. A better understanding of EAC underpins efforts to improve early detection and treatment outcomes. While large EAC exome sequencing efforts to date have found recurrent loss-of-function mutations, oncogenic driving events have been underrepresented. Here we use a combination of whole-genome sequencing (WGS) and single-nucleotide polymorphism-array profiling to show that genomic catastrophes are frequent in EAC, with almost a third (32%, n=40/123) undergoing chromothriptic events. WGS of 22 EAC cases show that catastrophes may lead to oncogene amplification through chromothripsis-derived double-minute chromosome formation (MYC and MDM2) or breakage-fusion-bridge (KRAS, MDM2 and RFC3). Telomere shortening is more prominent in EACs bearing localized complex rearrangements. Mutational signature analysis also confirms that extreme genomic instability in EAC can be driven by somatic BRCA2 mutations. These findings suggest that genomic catastrophes have a significant role in the malignant transformation of EAC.
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http://dx.doi.org/10.1038/ncomms6224DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596003PMC
October 2014

A workflow to increase verification rate of chromosomal structural rearrangements using high-throughput next-generation sequencing.

Biotechniques 2014 Jul 1;57(1):31-8. Epub 2014 Jul 1.

Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, QLD, Australia; Wolfson Wohl Cancer Research Centre, Institute for Cancer Sciences, University of Glasgow, Glasgow, Scotland, United Kingdom.

Somatic rearrangements, which are commonly found in human cancer genomes, contribute to the progression and maintenance of cancers. Conventionally, the verification of somatic rearrangements comprises many manual steps and Sanger sequencing. This is labor intensive when verifying a large number of rearrangements in a large cohort. To increase the verification throughput, we devised a high-throughput workflow that utilizes benchtop next-generation sequencing and in-house bioinformatics tools to link the laboratory processes. In the proposed workflow, primers are automatically designed. PCR and an optional gel electrophoresis step to confirm the somatic nature of the rearrangements are performed. PCR products of somatic events are pooled for Ion Torrent PGM and/or Illumina MiSeq sequencing, the resulting sequence reads are assembled into consensus contigs by a consensus assembler, and an automated BLAT is used to resolve the breakpoints to base level. We compared sequences and breakpoints of verified somatic rearrangements between the conventional and high-throughput workflow. The results showed that next-generation sequencing methods are comparable to conventional Sanger sequencing. The identified breakpoints obtained from next-generation sequencing methods were highly accurate and reproducible. Furthermore, the proposed workflow allows hundreds of events to be processed in a shorter time frame compared with the conventional workflow.
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http://dx.doi.org/10.2144/000114189DOI Listing
July 2014

Genome-wide DNA methylation patterns in pancreatic ductal adenocarcinoma reveal epigenetic deregulation of SLIT-ROBO, ITGA2 and MET signaling.

Int J Cancer 2014 Sep 9;135(5):1110-8. Epub 2014 May 9.

Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, St Lucia, Brisbane, QLD, Australia.

The importance of epigenetic modifications such as DNA methylation in tumorigenesis is increasingly being appreciated. To define the genome-wide pattern of DNA methylation in pancreatic ductal adenocarcinomas (PDAC), we captured the methylation profiles of 167 untreated resected PDACs and compared them to a panel of 29 adjacent nontransformed pancreata using high-density arrays. A total of 11,634 CpG sites associated with 3,522 genes were significantly differentially methylated (DM) in PDAC and were capable of segregating PDAC from non-malignant pancreas, regardless of tumor cellularity. As expected, PDAC hypermethylation was most prevalent in the 5' region of genes (including the proximal promoter, 5'UTR and CpG islands). Approximately 33% DM genes showed significant inverse correlation with mRNA expression levels. Pathway analysis revealed an enrichment of aberrantly methylated genes involved in key molecular mechanisms important to PDAC: TGF-β, WNT, integrin signaling, cell adhesion, stellate cell activation and axon guidance. Given the recent discovery that SLIT-ROBO mutations play a clinically important role in PDAC, the role of epigenetic perturbation of axon guidance was pursued in more detail. Bisulfite amplicon deep sequencing and qRT-PCR expression analyses confirmed recurrent perturbation of axon guidance pathway genes SLIT2, SLIT3, ROBO1, ROBO3, ITGA2 and MET and suggests epigenetic suppression of SLIT-ROBO signaling and up-regulation of MET and ITGA2 expression. Hypomethylation of MET and ITGA2 correlated with high gene expression, which was associated with poor survival. These data suggest that aberrant methylation plays an important role in pancreatic carcinogenesis affecting core signaling pathways with potential implications for the disease pathophysiology and therapy.
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http://dx.doi.org/10.1002/ijc.28765DOI Listing
September 2014

Somatic point mutation calling in low cellularity tumors.

PLoS One 2013 8;8(11):e74380. Epub 2013 Nov 8.

Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, Australia.

Somatic mutation calling from next-generation sequencing data remains a challenge due to the difficulties of distinguishing true somatic events from artifacts arising from PCR, sequencing errors or mis-mapping. Tumor cellularity or purity, sub-clonality and copy number changes also confound the identification of true somatic events against a background of germline variants. We have developed a heuristic strategy and software (http://www.qcmg.org/bioinformatics/qsnp/) for somatic mutation calling in samples with low tumor content and we show the superior sensitivity and precision of our approach using a previously sequenced cell line, a series of tumor/normal admixtures, and 3,253 putative somatic SNVs verified on an orthogonal platform.
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0074380PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3826759PMC
March 2015

Pancreatic cancer genomes reveal aberrations in axon guidance pathway genes.

Authors:
Andrew V Biankin Nicola Waddell Karin S Kassahn Marie-Claude Gingras Lakshmi B Muthuswamy Amber L Johns David K Miller Peter J Wilson Ann-Marie Patch Jianmin Wu David K Chang Mark J Cowley Brooke B Gardiner Sarah Song Ivon Harliwong Senel Idrisoglu Craig Nourse Ehsan Nourbakhsh Suzanne Manning Shivangi Wani Milena Gongora Marina Pajic Christopher J Scarlett Anthony J Gill Andreia V Pinho Ilse Rooman Matthew Anderson Oliver Holmes Conrad Leonard Darrin Taylor Scott Wood Qinying Xu Katia Nones J Lynn Fink Angelika Christ Tim Bruxner Nicole Cloonan Gabriel Kolle Felicity Newell Mark Pinese R Scott Mead Jeremy L Humphris Warren Kaplan Marc D Jones Emily K Colvin Adnan M Nagrial Emily S Humphrey Angela Chou Venessa T Chin Lorraine A Chantrill Amanda Mawson Jaswinder S Samra James G Kench Jessica A Lovell Roger J Daly Neil D Merrett Christopher Toon Krishna Epari Nam Q Nguyen Andrew Barbour Nikolajs Zeps Nipun Kakkar Fengmei Zhao Yuan Qing Wu Min Wang Donna M Muzny William E Fisher F Charles Brunicardi Sally E Hodges Jeffrey G Reid Jennifer Drummond Kyle Chang Yi Han Lora R Lewis Huyen Dinh Christian J Buhay Timothy Beck Lee Timms Michelle Sam Kimberly Begley Andrew Brown Deepa Pai Ami Panchal Nicholas Buchner Richard De Borja Robert E Denroche Christina K Yung Stefano Serra Nicole Onetto Debabrata Mukhopadhyay Ming-Sound Tsao Patricia A Shaw Gloria M Petersen Steven Gallinger Ralph H Hruban Anirban Maitra Christine A Iacobuzio-Donahue Richard D Schulick Christopher L Wolfgang Richard A Morgan Rita T Lawlor Paola Capelli Vincenzo Corbo Maria Scardoni Giampaolo Tortora Margaret A Tempero Karen M Mann Nancy A Jenkins Pedro A Perez-Mancera David J Adams David A Largaespada Lodewyk F A Wessels Alistair G Rust Lincoln D Stein David A Tuveson Neal G Copeland Elizabeth A Musgrove Aldo Scarpa James R Eshleman Thomas J Hudson Robert L Sutherland David A Wheeler John V Pearson John D McPherson Richard A Gibbs Sean M Grimmond

Nature 2012 Nov 24;491(7424):399-405. Epub 2012 Oct 24.

The Kinghorn Cancer Centre, 370 Victoria Street, Darlinghurst, Sydney, New South Wales 2010, Australia.

Pancreatic cancer is a highly lethal malignancy with few effective therapies. We performed exome sequencing and copy number analysis to define genomic aberrations in a prospectively accrued clinical cohort (n = 142) of early (stage I and II) sporadic pancreatic ductal adenocarcinoma. Detailed analysis of 99 informative tumours identified substantial heterogeneity with 2,016 non-silent mutations and 1,628 copy-number variations. We define 16 significantly mutated genes, reaffirming known mutations (KRAS, TP53, CDKN2A, SMAD4, MLL3, TGFBR2, ARID1A and SF3B1), and uncover novel mutated genes including additional genes involved in chromatin modification (EPC1 and ARID2), DNA damage repair (ATM) and other mechanisms (ZIM2, MAP2K4, NALCN, SLC16A4 and MAGEA6). Integrative analysis with in vitro functional data and animal models provided supportive evidence for potential roles for these genetic aberrations in carcinogenesis. Pathway-based analysis of recurrently mutated genes recapitulated clustering in core signalling pathways in pancreatic ductal adenocarcinoma, and identified new mutated genes in each pathway. We also identified frequent and diverse somatic aberrations in genes described traditionally as embryonic regulators of axon guidance, particularly SLIT/ROBO signalling, which was also evident in murine Sleeping Beauty transposon-mediated somatic mutagenesis models of pancreatic cancer, providing further supportive evidence for the potential involvement of axon guidance genes in pancreatic carcinogenesis.
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http://dx.doi.org/10.1038/nature11547DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3530898PMC
November 2012

qpure: A tool to estimate tumor cellularity from genome-wide single-nucleotide polymorphism profiles.

PLoS One 2012 25;7(9):e45835. Epub 2012 Sep 25.

Queensland Centre for Medical Genomics, Institute for Molecular Bioscience, University of Queensland, St Lucia, Brisbane, Queensland, Australia.

Tumour cellularity, the relative proportion of tumour and normal cells in a sample, affects the sensitivity of mutation detection, copy number analysis, cancer gene expression and methylation profiling. Tumour cellularity is traditionally estimated by pathological review of sectioned specimens; however this method is both subjective and prone to error due to heterogeneity within lesions and cellularity differences between the sample viewed during pathological review and tissue used for research purposes. In this paper we describe a statistical model to estimate tumour cellularity from SNP array profiles of paired tumour and normal samples using shifts in SNP allele frequency at regions of loss of heterozygosity (LOH) in the tumour. We also provide qpure, a software implementation of the method. Our experiments showed that there is a medium correlation 0.42 ([Formula: see text]-value=0.0001) between tumor cellularity estimated by qpure and pathology review. Interestingly there is a high correlation 0.87 ([Formula: see text]-value [Formula: see text] 2.2e-16) between cellularity estimates by qpure and deep Ion Torrent sequencing of known somatic KRAS mutations; and a weaker correlation 0.32 ([Formula: see text]-value=0.004) between IonTorrent sequencing and pathology review. This suggests that qpure may be a more accurate predictor of tumour cellularity than pathology review. qpure can be downloaded from https://sourceforge.net/projects/qpure/.
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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0045835PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3457972PMC
May 2013

Intraoperative computer navigation parameters are poor predictors of function 1 year after total knee arthroplasty.

J Arthroplasty 2013 Jan 27;28(1):56-61. Epub 2012 Jun 27.

Sydney Orthopaedic Research Institute, Chatswood, NSW, Australia.

Intraoperative navigation data were collected prospectively for 134 knees undergoing cemented, posterior-stabilized total knee arthroplasty. Partial least squares regression analysis was used to test the association between patient demographics and intraoperative data collected with a computer-assisted navigation system (coronal alignment, ligament balance, range of motion, external tibiofemoral rotation) with 1-year outcomes (36-item Short-Form Health Survey, Oxford Knee Score, range of motion). Age at surgery displayed the largest coefficients of any other predictor. In contrast, navigation coefficients were variable in the strength and direction of their association with the outcome variables. Static knee alignment data obtained intraoperatively have limited capacity to explain the variance in functional outcome at 1 year. Although alignment and component position can be precisely measured intraoperatively, intrinsic patient factors remain dominant in determining the outcome.
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http://dx.doi.org/10.1016/j.arth.2012.04.018DOI Listing
January 2013