Biomedical subjects

Devin McQuaid

Publications and source records attributed to Devin McQuaid.

7 recordsLinked to original sources

PubMed2007

Karyotypic changes detected by comparative genomic hybridization in a stillborn infant with chorioangioma and liver hemangioma.

BACKGROUND: Placental hemangioma (chorioangioma) and congenital hemangioma are relatively common tumors, which on rare occasions may occur together. Very little is known about the pathogenetic mechanisms underlying these lesions. CASE: Herein we describe a rare case of a stillborn infant with chorioangioma, placental mesenchymal dysplasia, and liver cavernous hemangioma. In addition, we present the findings of the karyotype analysis of these lesions, which was done with the bacterial artificial chromosome arrays using the comparative genomic hybridization method. The chromosomal abnormalities that we found were deletions at 2q13 and 7p21.1 and were common to both placental and liver lesions. CONCLUSIONS: None of the identified chromosomal aberrations have been previously associated with chorioangiomas or hemangiomas. Important genes that lie in these DNA regions may be implicated in the pathogenesis of congenital hemangiomas and mesenchymal dysplasia.

Chromosome Aberrations↗

PubMed2006

Array CGH analysis of pediatric medulloblastomas.

Brain tumors are the second most common childhood cancer. We used high-resolution array comparative genomic hybridization (aCGH) to analyze losses and gains of genetic material from 24 medulloblastomas. The bacterial artificial chromosome clones were ordered on the array, allowing for an average resolution of approximately 420 kilobases. The advantage of this high resolution is that the breakpoints associated with subregional chromosome copy number aberrations can be accurately defined, which in turn allows candidate genes within these regions to be readily defined. In this analysis, we confirmed the frequent involvement of loss of 17p and gain of 17q, although we have now established the position of the breakpoint that consistently lies in the chr17:18318880-19046234 region of the chromosome. Other frequent losses were seen on 8p, 10q, 16q, and 20p, and frequent gains were seen on 2p, 4p, 7, and 19. In addition, the fine-resolution mapping provided by aCGH made it possible to define small chromosome deletions in 1q23.3-q24.2, 2q13.12-q13.2, 6q25-qter, 8p23.1, 10q25.1, and 12q13.12-q13.2. Overall, amplification events were rare, the most common involving MYC (16%), on 8q, although isolated events were seen in 10p11 and 3q.

Cerebellar Neoplasms↗

PubMed2005

Identification of consistent novel submegabase deletions in low-grade oligodendrogliomas using array-based comparative genomic hybridization.

We have analyzed 18 low-grade gliomas using array comparative genomic hybridization (aCGH) with an average resolution of <500 kb. Because the majority of these tumors showed loss of chromosome arms 1p and 19q, we used custom statistical approaches to define submegabase hemizygous losses throughout the genome that correlated with 19q loss. As a result of this analysis, we have identified a approximately 550-kb region in 11q13 and a approximately 300-kb region in 13q12 that showed hemizygous deletion in virtually all the tumors analyzed regardless of their 1p/19q status. FISH analyses of interphase nuclei from the same tumors used for aCGH analysis confirmed the hemizygous loss. The identification of such specific changes provides a potentially very useful diagnostic marker for this subgroup of low-grade tumors. These regions of the genome define small numbers of candidate genes that are within the deletions. The aCGH analysis also defined the spectrum of gain and loss of genomic regions in low-grade oligodendrogliomas.

Brain Neoplasms↗

PubMed2005

Genome-wide aberrations in pancreatic adenocarcinoma.

Chromosomal instability, manifesting as copy number alterations (CNAs), is characteristic of pancreatic adenocarcinoma. We used bacterial artificial chromosome (BAC) array-based comparative genomic hybridization (aCGH) to examine the pancreatic adenocarcinoma genome for submicroscopic amplifications and deletions. Profiles of 33 samples (17 first-passage xenografts and 16 cell lines) identified numerous chromosomal regions with CNAs, including losses at 1p36.33 approximately p34.3, 1p13.3 approximately p13.2, 3p26, 3p25.2 approximately p22.3, 3p22.1 approximately p14.1, 4q28.3, 4q31, 4q35.1, 5q14.3, 6p, 6q, 8p23.3 approximately p12, 9p, 9q22.32 approximately q31.1, 13q33.2, 15q11.2, 16p13.3, 17p, 18q11.21 approximately q23 , 19p13.3 approximately p13.12, 19q13.2, 21p, 21q, and 22p, 22q and gains at 7p21.1 approximately p11.2, 7q31.32, 7q33, 8q11.1 approximately q24, 11p13, 14q22.2, 20p12.2, and 20q11.23 approximately q13.33. Novel regions containing CNAs were identified and refined by combining the increased resolution of our BAC CGH array with a statistical algorithm developed for assigning significance values to altered BACs across samples. A subset of array-based CNAs was validated using polymerase chain reaction-based techniques, immunohistochemistry and fluorescence in situ hybridization. BAC aCGH proved to be a powerful genome-wide strategy to identify molecular alterations in pancreatic cancer and to distinguish differences between cell line and xenograft aberration profiles. These findings should greatly facilitate further research in understanding the pathogenesis of this lethal disease, and could lead to the identification of novel therapeutic targets and biomarkers for early detection.

Adenocarcinoma↗

PubMed2005

In vitro and in vivo irinotecan-induced changes in expression profiles of cell cycle and apoptosis-associated genes in acute myeloid leukemia cells.

OBJECTIVE: To study irinotecan (CPT-11)-induced changes in expression profiles of genes associated with cell cycle control and apoptosis in myeloid leukemia cells in vitro and in vivo. METHODS: HL60 cells were exposed to clinically achievable concentrations of 7-ethyl-10-hydroxycamptothecin (SN-38), the active metabolite of CPT-11, and blood sampled from patients with acute myeloid leukemia and chronic myeloid leukemia in myeloid blast transformation treated with CPT-11. Gene expression changes were studied by cDNA microarray and correlated with biological responses by studying DNA distributions by flow cytometry. RESULTS: cDNA microarray analysis showed down-regulation and up-regulation of specific cell cycle-associated genes, consistent with loss of S-phase cells and temporary delay of G(1)-S-phase transition seen by flow cytometry. Flow cytometry showed that cells in S phase during SN-38 exposure underwent apoptosis, whereas cells in G(2)-M and G(1) were delayed in G(1) and entered S phase only 6 to 8 hours after drug removal, consistent with the observed changes in gene expression. Proapoptotic changes in gene transcription included down-regulation of antiapoptotic genes and up-regulation of proapoptotic genes. Many gene expression changes observed following in vitro SN-38 exposure were also seen following in vivo administration of 10 or 15 mg/m(2) CPT-11; notably, proapoptotic changes included reduced transcription of survivin pathway-associated genes and increased transcription of death receptor 5. CONCLUSION: CPT-11-induced changes in gene expression profiles in vitro and in vivo are consistent with temporary delay in G(1)-S transition and enhanced responsiveness to apoptosis, both of which may contribute to the synergistic interactions of this drug with antimetabolites.

Apoptosis↗

PubMed2004

Application of bacterial artificial chromosome array-based comparative genomic hybridization and spectral karyotyping to the analysis of glioblastoma multiforme.

Identification of genetic losses and gains is valuable in analysis of brain tumors. Locus-by-locus analyses have revealed correlations between prognosis and response to chemotherapy and loss or gain of specific genes and loci. These approaches are labor intensive and do not provide a global view of the genetic changes within the tumor cells. Bacterial artificial chromosome (BAC) arrays, which cover the genome with an average resolution of less than 1 MbP, allow defining the sum total of these genetic changes in a single comparative genomic hybridization (CGH) experiment. These changes are directly overlaid on the human genome sequence, thus providing the extent of the amplification or deletion, reflected by a megabase position, and gene content of the abnormal region. Although this array-based CGH approach (CGHa) seems to detect the extent of the genetic changes in tumors reliably, it has not been robustly tested. We compared genetic changes in four newly derived, early-passage glioma cell lines, using spectral karyotyping (SKY) and CGHa. Chromosome changes seen in cell lines under SKY analysis were also detected with CGHa. In addition, CGHa detected cryptic genetic gains and losses and resolved the nature of subtle marker chromosomes that could not be resolved with SKY, thus providing distinct advantages over previous technologies. There was remarkable general concordance between the CGHa results comparing the cell lines to the original tumor, except that the magnitude of the changes seen in the tumor sample was generally suppressed compared with the cell lines, a consequence of normal cells contaminating the tumor sample. CGHa revealed changes in cell lines that were not present in the original tumors and vice versa, even when analyzed at the earliest passage possible, which highlights the adaptation of the cells to in vitro culture. CGHa proved to be highly accurate and efficient for identifying genetic changes in tumor cells. This approach can accurately identify subtle, novel genetic abnormalities in tumors directly linked to the human genome sequence. CGHa far surpasses the resolution and information provided by conventional metaphase CGH, without relying on in vitro culture of tumors for metaphase spreads.

Brain Neoplasms↗

PubMed2004

Identification of differentially expressed genes in clinically distinct groups of serous ovarian carcinomas using cDNA microarray.

To identify changes in gene expression in serous epithelial ovarian cancers (SEOC), we utilized cDNA microarrays consisting of 2382 genes with cancer related properties to analyze tumors from 20 patients with defined clinical out-comes. The significance analysis of microarrays method was used to determine differentially expressed genes, leading to the identification of 134 up-regulated and 231 down-regulated genes overall. By increasing the stringency of the statistical selection criteria, 41 over-expressed and 51 under-expressed genes were identified. The median duration of follow-up of the 20 patients was 16.8 months with a median progression free survival of 7.0 months. We found 11 genes that were differentially over-expressed in patients with recurrent disease, and 3 genes (homo sapiens mRNA for Ins P3 5-phophatase, lipoma HMGIC fusion partner-like 2 and CD63 melanoma 1 antigen) in patients who were dead of disease. Subsequently, we examined the distribution of the differentially expressed genes in the cDNA library database from adult human tumor and normal tissues using the DigiNorthern method to identify a subset of genes with relatively restricted tissue distribution. Finally, protein expression of 5 selected genes were further examined using immunohistochemistry applied on a tissue microarray prepared from an independent panel of 93 SEOC tissues. The results provided validation for 2 under-expressed genes (E2F transcription factor 5 and CK14) and 3 over-expressed genes (Bcl2-like 1, COX-2, CD63). Our study demonstrates differential gene expression in clinically distinct groups of SEOC using cDNA microarray. These genes may potentially be useful as biomarkers and/or targets for therapeutic intervention.

Adult↗