Surgery (Austin & Northern Health) - Research Publications

Permanent URI for this collection

Search Results

Now showing 1 - 10 of 22
  • Item
    No Preview Available
    Fusion of the NUP98 gene with the LEDGF/p52 gene defines a recurrent acute myeloid leukemia translocation
    Hussey, DJ ; Moore, S ; Nicola, M ; Dobrovic, A (BIOMED CENTRAL LTD, 2001)
    BACKGROUND: The NUP98 gene is involved in multiple rearrangements in haematological malignancy. The leukemic cells in an acute myeloid leukemia (AML) patient with a t(9;11)(p22;p15) were recently shown to have a fusion between the NUP98 gene and the LEDGF gene but it was not demonstrated that this fusion was recurrent in other leukaemia patients with the same translocation. RESULTS: We used RT-PCR to analyse the leukemic cells from an AML patient who presented with a cytogenetically identical translocation as the sole chromosomal abnormality. A NUP98-LEDGF fusion transcript was observed and confirmed by sequencing. The reciprocal transcript was also observed. The fusion transcript was not detectable during remission and recurred at relapse. The breakpoints in the NUP98 and LEDGF genes were different to those previously reported. The NUP98 breakpoint occurs in the intron between exons 8 and 9. It is the most 5' breakpoint reported in a translocation involving the NUP98 gene. All of the LEDGF gene is included in the fusion except for exon 1 which codes for the first 24 amino terminal amino acids. CONCLUSIONS: Our results show that fusion of the NUP98 and LEDGF genes is a new recurrent translocation in AML.
  • Item
    Thumbnail Image
    Promoter region methylation does not account for the frequent loss of expression of the Fas gene in colorectal carcinoma
    Butler, LM ; Dobrovic, A ; Bianco, T ; Cowled, PA (CHURCHILL LIVINGSTONE, 2000-01)
    Expression of the apoptosis-promoting Fas gene is frequently reduced or lost during the development of colorectal carcinoma. However, loss of heterozygosity at the Fas locus or Fas gene rearrangements do not account for the loss of expression of Fas, raising the possibility that methylation of the Fas promoter may inhibit gene expression in colorectal carcinomas. We have examined the Fas promoter region CpG island for evidence of hypermethylation in colorectal tumours. Forty-seven specimens of colorectal adenoma and carcinoma, as well as six samples of normal colonic mucosa, were examined by Southern blotting for methylation at HpaII and Cfol sites in this region. No methylation was detected in any of the specimens, suggesting that hypermethylation is not primarily responsible for the loss of expression of the Fas gene during colorectal tumorigenesis.
  • Item
    No Preview Available
    Optimisation of the RT-PCR detection of immunomagnetically enriched carcinoma cells
    Raynor, M ; Stephenson, SA ; Walsh, DCA ; Pittman, KB ; Dobrovic, A (BMC, 2002-05-24)
    BACKGROUND: Immunomagnetic enrichment followed by RT-PCR (immunobead RT-PCR) is an efficient methodology to identify disseminated carcinoma cells in the blood and bone marrow. The RT-PCR assays must be both specific for the tumor cells and sufficiently sensitive to enable detection of single tumor cells. We have developed a method to test RT-PCR assays for any cancer. This has been investigated using a panel of RT-PCR markers suitable for the detection of breast cancer cells. METHODS: In the assay, a single cell line-derived tumor cell is added to 100 peripheral blood mononuclear cells (PBMNCs) after which mRNA is isolated and reverse transcribed for RT-PCR analysis. PBMNCs without added tumor cells are used as specificity controls. The previously studied markers epidermal growth factor receptor (EGFR), mammaglobin 1 (MGB1), epithelial cell adhesion molecule (EpCAM/TACSTD1), mucin 1 (MUC1), carcinoembryonic antigen (CEA) were tested. Two new epithelial-specific markers ELF3 and EphB4 were also tested. RESULTS: MUC1 was unsuitable as strong amplification was detected in 100 cell PBMNC controls. Expression of ELF3, EphB4, EpCAM, EGFR, CEA and MGB1 was found to be both specific for the tumor cell, as demonstrated by the absence of a signal in most 100 cell PBMNC controls, and sensitive enough to detect a single tumor cell in 100 PBMNCs using a single round of RT-PCR. CONCLUSIONS: ELF3, EphB4, EpCAM, EGFR, CEA and MGB1 are appropriate RT-PCR markers for use in a marker panel to detect disseminated breast cancer cells after immunomagnetic enrichment.
  • Item
    Thumbnail Image
    In vitro sensitivity testing of minimally passaged and uncultured gliomas with TRAIL and/or chemotherapy drugs
    Ashley, DM ; Riffkin, CD ; Lovric, MM ; Mikeska, T ; Dobrovic, A ; Maxwell, JA ; Friedman, HS ; Drummond, KJ ; Kaye, AH ; Gan, HK ; Johns, TG ; Hawkins, CJ (NATURE PUBLISHING GROUP, 2008-07-15)
    TRAIL/Apo-2L has shown promise as an anti-glioma drug, based on investigations of TRAIL sensitivity in established glioma cell lines, but it is not known how accurately TRAIL signalling pathways of glioma cells in vivo are reproduced in these cell lines in vitro. To replicate as closely as possible the in vivo behaviour of malignant glioma cells, 17 early passage glioma cell lines and 5 freshly resected gliomas were exposed to TRAIL-based agents and/or chemotherapeutic drugs. Normal human hepatocytes and astrocytes and established glioma cell lines were also tested. Cross-linked TRAIL, but not soluble TRAIL, killed both normal cell types and cells from three tumours. Cells from only one glioma were killed by soluble TRAIL, although only inefficiently. High concentrations of cisplatin were lethal to glioma cells, hepatocytes and astrocytes. Isolated combinations of TRAIL and chemotherapy drugs were more toxic to particular gliomas than normal cells, but no combination was generally selective for glioma cells. This study highlights the widespread resistance of glioma cells to TRAIL-based agents, but suggests that a minority of high-grade glioma patients may benefit from particular combinations of TRAIL and chemotherapy drugs. In vitro sensitivity assays may help identify effective drug combinations for individual glioma patients.
  • Item
    Thumbnail Image
    Negative selection of chronic lymphocytic leukaemia cells using a bifunctional rosette-based antibody cocktail
    Essakali, S ; Carney, D ; Westerman, D ; Gambell, P ; Seymour, JF ; Dobrovic, A (BMC, 2008-01-29)
    BACKGROUND: High purity of tumour samples is a necessity for accurate genetic and expression analysis and is usually achieved by positive selection in chronic lymphocytic leukaemia (CLL). RESULTS: We adapted a bifunctional rosette-based antibody cocktail for negative selection of B-cells for isolating CLL cells from peripheral blood (PB). PB samples from CLL patients were split into aliquots. One aliquot of each sample was enriched by density gradient centrifugation (DGC), while the other aliquot of each sample was incubated with an antibody cocktail for B-cell enrichment prior to DGC (RS+DGC). The purity of CLL cells after DGC averaged 74.1% (range: 15.9 - 97.4%). Using RS+DGC, the purity averaged 93.8% (range: 80.4 - 99.4%) with 23 of 29 (79%) samples showing CLL purities above 90%. RNA extracted from enriched CLL cells was of appropriately high quality for microarray analysis. CONCLUSION: This study confirms the use of a bifunctional rosette-based antibody cocktail as an effective method for the purification of CLL cells from peripheral blood.
  • Item
    Thumbnail Image
    Empirical array quality weights in the analysis of microarray data
    Ritchie, ME ; Diyagama, D ; Neilson, J ; van Laar, R ; Dobrovic, A ; Holloway, A ; Smyth, GK (BMC, 2006-05-19)
    BACKGROUND: Assessment of array quality is an essential step in the analysis of data from microarray experiments. Once detected, less reliable arrays are typically excluded or "filtered" from further analysis to avoid misleading results. RESULTS: In this article, a graduated approach to array quality is considered based on empirical reproducibility of the gene expression measures from replicate arrays. Weights are assigned to each microarray by fitting a heteroscedastic linear model with shared array variance terms. A novel gene-by-gene update algorithm is used to efficiently estimate the array variances. The inverse variances are used as weights in the linear model analysis to identify differentially expressed genes. The method successfully assigns lower weights to less reproducible arrays from different experiments. Down-weighting the observations from suspect arrays increases the power to detect differential expression. In smaller experiments, this approach outperforms the usual method of filtering the data. The method is available in the limma software package which is implemented in the R software environment. CONCLUSION: This method complements existing normalisation and spot quality procedures, and allows poorer quality arrays, which would otherwise be discarded, to be included in an analysis. It is applicable to microarray data from experiments with some level of replication.
  • Item
    Thumbnail Image
    Detection of the transforming AKT1 mutation E17K in non-small cell lung cancer by high resolution melting.
    Do, H ; Solomon, B ; Mitchell, PL ; Fox, SB ; Dobrovic, A (Springer Science and Business Media LLC, 2008-05-16)
    BACKGROUND: A recurrent somatic mutation, E17K, in the pleckstrin homology domain of the AKT1 gene, has been recently described in breast, colorectal, and ovarian cancers. AKT1 is a pivotal mediator of signalling pathways involved in cell survival, proliferation and growth. The E17K mutation stimulates downstream signalling and exhibits transforming activity in vitro and in vivo. FINDINGS: We developed a sensitive high resolution melting (HRM) assay to detect the E17K mutation from formalin-fixed paraffin-embedded tumours. We screened 219 non-small cell lung cancer biopsies for the mutation using HRM analysis. Four samples were identified as HRM positive. Subsequent sequencing of those samples confirmed the E17K mutation in one of the cases. A rare single nucleotide polymorphism was detected in each of the remaining three samples. The E17K was found in one of the 14 squamous cell carcinomas. No mutations were found in 141 adenocarcinomas and 39 large cell carcinomas. CONCLUSION: The AKT1 E17K mutation is very rare in lung cancer and might be associated with tumorigenesis in squamous cell carcinoma. HRM represents a rapid cost-effective and robust screening of low frequency mutations such as AKT1 mutations in clinical samples.
  • Item
    Thumbnail Image
    Rapid analysis of heterogeneously methylated DNA using digital methylation-sensitive high resolution melting: application to the CDKN2B (p15) gene
    Candiloro, ILM ; Mikeska, T ; Hokland, P ; Dobrovic, A (BMC, 2008)
    BACKGROUND: Methylation-sensitive high resolution melting (MS-HRM) methodology is able to recognise heterogeneously methylated sequences by their characteristic melting profiles. To further analyse heterogeneously methylated sequences, we adopted a digital approach to MS-HRM (dMS-HRM) that involves the amplification of single templates after limiting dilution to quantify and to determine the degree of methylation. We used this approach to study methylation of the CDKN2B (p15) cell cycle progression inhibitor gene which is inactivated by DNA methylation in haematological malignancies of the myeloid lineage. Its promoter region usually shows heterogeneous methylation and is only rarely fully methylated. The methylation status of CDKN2B can be used as a biomarker of response to treatment. Therefore the accurate characterisation of its methylation is desirable. RESULTS: MS-HRM was used to assess CDKN2B methylation in acute myeloid leukaemia (AML) samples. All the AML samples that were methylated at the CDKN2B promoter (40/93) showed varying degrees of heterogeneous methylation. Six representative samples were selected for further study. dMS-HRM was used to simultaneously count the methylated alleles and assess the degree of methylation. Direct sequencing of selected dMS-HRM products was used to determine the exact DNA methylation pattern and confirmed the degree of methylation estimated by dMS-HRM. CONCLUSION: dMS-HRM is a powerful technique for the analysis of methylation in CDKN2B and other heterogeneously methylated genes. It eliminates both PCR and cloning bias towards either methylated or unmethylated DNA. Potentially complex information is simplified into a digital output, allowing counting of methylated and unmethylated alleles and providing an overall picture of methylation at the given locus. Downstream sequencing is minimised as dMS-HRM acts as a screen to select only methylated clones for further analysis.
  • Item
    Thumbnail Image
    Validation of a primer optimisation matrix to improve the performance of reverse transcription - quantitative real-time PCR assays.
    Mikeska, T ; Dobrovic, A (Springer Science and Business Media LLC, 2009-06-23)
    BACKGROUND: The development of reverse transcription - quantitative real-time PCR (RT-qPCR) platforms that can simultaneously measure the expression of multiple genes is dependent on robust assays that function under identical thermal cycling conditions. The use of a primer optimisation matrix to improve the performance of RT-qPCR assays is often recommended in technical bulletins and manuals. Despite this recommendation, a comprehensive introduction to and evaluation of this approach has been absent from the literature. Therefore, we investigated the impact of varying the primer concentration, leaving all the other reaction conditions unchanged, on a large number of RT-qPCR assays which in this case were designed to be monitored using hydrolysis probes from the Universal Probe Library (UPL) library. FINDINGS: Optimal RT-qPCR conditions were determined for 60 newly designed assays. The calculated Cq (Quantification Cycle) difference, non-specific amplification, and primer dimer formation for a given assay was often dependent on primer concentration. The chosen conditions were further optimised by testing two different probe concentrations. Varying the primer concentrations had a greater effect on the performance of a RT-qPCR assay than varying the probe concentrations. CONCLUSION: Primer optimisation is important for improving the performance of RT-qPCR assays monitored by UPL probes. This approach would also be beneficial to the performance of other RT-qPCR assays such as those using other types of probes or fluorescent intercalating dyes.
  • Item
    Thumbnail Image
    No evidence for promoter region methylation of the succinate dehydrogenase and fumarate hydratase tumour suppressor genes in breast cancer.
    Huang, KT ; Dobrovic, A ; Fox, SB (Springer Science and Business Media LLC, 2009-09-25)
    BACKGROUND: Succinate dehydrogenase (SDH) and fumarate hydratase (FH) are tricarboxylic acid (TCA) cycle enzymes that are also known to act as tumour suppressor genes. Increased succinate or fumarate levels as a consequence of SDH and FH deficiency inhibit hypoxia inducible factor-1alpha (HIF-1alpha) prolyl hydroxylases leading to sustained HIF-1alpha expression in tumours. Since HIF-1alpha is frequently expressed in breast carcinomas, DNA methylation at the promoter regions of the SDHA, SDHB, SDHC and SDHD and FH genes was evaluated as a possible mechanism in silencing of SDH and FH expression in breast carcinomas. FINDINGS: No DNA methylation was identified in the promoter regions of the SDHA, SDHB, SDHC, SDHD and FH genes in 72 breast carcinomas and 10 breast cancer cell lines using methylation-sensitive high resolution melting which detects both homogeneous and heterogeneous methylation. CONCLUSION: These results show that inactivation via DNA methylation of the promoter CpG islands of SDH and FH is unlikely to play a major role in sporadic breast carcinomas.