Virtual-Karyotyping with SNP microarrays in morphologically challenging renal cell neoplasms
ABSTRACT: Genetic lesions characteristic for RCC subtypes can be identified by virtual karyotyping with SNP microarrays. In this study, we examined whether virtual karyotypes could be used to better classify a cohort of morphologically challenging/unclassified RCC. Tumor resection specimens from 17 patients were profiled by virtual karyotyping with Affymetrix 10K 2.0 or 250K Nsp SNP Mapping arrays and were also evaluated independently by a panel of seven genito-urinary pathologists. Tumors were classified by the established pattern of genomic imbalances based on a reference cohort of 98 cases with classic morphology and compared to the morphologic diagnosis of the pathologist panel. In 3 cases, samples from areas with different morphologic appearance were also tested (n=5).
Project description:Renal epithelial neoplasms have characteristic chromosomal imbalances that can be used for classification. We have previously shown that virtual karyotypes (v-karyotype) derived from SNP microarrays can be performed on formalin-fixed paraffin embedded (FFPE) tissue samples but a direct comparison with karyotypes obtained by conventional cytogenetics has not been done. 20 archival FFPE tumor samples were analyzed with Affymetrix 10K 2.0 or 250K Nsp SNP microarrays. 19 archival FFPE tumor samples were analyzed with Affymetrix 10K 2.0 or 250K Nsp SNP microarrays and virtual-karyotype results compared to those obtained by Cytogenetics.
Project description:We investigated chromosomal imbalances in samples from patients with androgen insensitive prostate cancer. 4 archival FFPE tumor samples were analyzed with Affymetrix 250K Nsp SNP microarrays and virtual-karyotype results for PTEN region were compared to PTEN deletion analysis by FISH.
Project description:Nuclear abnormalities are commonly found in human IVF embryos and are associated with DNA damage, aneuploidy, and decreased developmental potential. Immunohistochemical, microscopic, and cytogenetic analysis of human IVF embryos at different developmental stages and morphologic grades.
Project description:Genetic lesions characteristic for RCC subtypes can be identified by virtual karyotyping with SNP microarrays. In this study, we examined whether virtual karyotypes could be used to better classify a cohort of morphologically challenging/unclassified RCC. Overall design: Tumor resection specimens from 17 patients were profiled by virtual karyotyping with Affymetrix 10K 2.0 or 250K Nsp SNP Mapping arrays and were also evaluated independently by a panel of seven genito-urinary pathologists. Tumors were classified by the established pattern of genomic imbalances based on a reference cohort of 98 cases with classic morphology and compared to the morphologic diagnosis of the pathologist panel. In 3 cases, samples from areas with different morphologic appearance were also tested (n=5).
Project description:Cancer development is associated with multiple genetic alterations and genomic instability either at the chromosomal or base pair level is generally thought to underlie these changes. However, it is still unknown whether genetic instability is absolutely required for tumorigenesis. Here we investigated the genomic instability status of four cytogenetically stable diploid cell lines CAL51, SK-UT-1B, A204 and CH1. We applied high resolution 500K single nucleotide polymorphism (SNP) array analysis and found that all the four cell lines have some sub-microscopic genomic copy number changes. Interestingly, there were many more sub-microscopic chromosome alterations in A204 and CH1 than in CAL51 and SK-UT-1B. Twenty-four-color fluorescence in situ hybridization (FISH) was used to analyse a large number of metaphases from CAL51, SK-UT-1B and CH1 cells. The rate of de novo chromosome rearrangements was significantly higher in CH1 than CAL51 and SK-UT-1B. Although this increased rate did not lead to many clonal cytogenetically apparent chromosome alterations in CH1 cells, it is consistent with a first step towards chromosomal instability. It is more striking that both cell lines CAL51 and SK-UT-1B which have a similar de novo chromosomal change rate to that of normal lymphocytes were microsatellite instability positive by BAT-26 microsatellite analysis. This study further strengths the current concept that genomic instability is associated with tumor development. Keywords: DNA copy number changes DNA from A204, CH1, CAL51 and SK-UT-1B were analyzed by Affymetrix Genechip Mapping 500K Set array. Data were compared with normal samples from HAPMAP database.
Project description:We recently mapped 605 chromosomal breakpoints in 61 ATL cases by spectral karyotyping and identified chromosome 14q11 as one of the most common chromosomal breakpoint regions. To map the precise location of chromosomal breakpoints at 14q11, we performed single-nucleotide polymorphism (SNP)-based comparative genomic hybridization on leukemia cells from acute-type ATL patients. Copy number analysis of Affymetrix 50K SNP arrays was performed for leukemic cell samples from10 acute-type ATL patients.
Project description:Sacrocolpopexy has been dubbed the “gold standard” repair for apical pelvic organ prolapse (POP). This study sought to determine a genetic cause for sacrocolpopexy failure by comparing genotypes from 10 women who suffered from early POP reoccurance after sacrocolpopexy surgery, versus 40 randomly selected women with long term success after the same procedure. We objectively defined early overt failure after robotic-assisted laparoscopic sacrocolpopexy as having a pelvic organ prolapse quantification system examination (POP-Q) of stage III or IV occurring in more than one compartment within six months after surgery. All medical records identified during this process were then reviewed by a panel of urogynecology attendings and fellows to select patients who were truly clinical outliers. By this method we identified 10 patients (cases) who experienced early overt surgical failure. We also randomly selected 40 controls from our research database which includes greater than 500 patients who underwent robotic-assisted laparoscopic sacrocolpopexy during the same time period and had been objectively and subjectively assessed for ≥ 12 months with surgical success at ≥ 12 months that did not undergo prolapse re-operation or re-treatment. Demographics and peri-operative details were compared between cases and controls. Exclusion criteria for controls included use of other graft material besides polypropylene mesh, prior surgery for prolapse involving graft material, and conversion to laparotomy. DNA from the 10 cases and 40 controls was isolated from buccal swabs and genotyped on a single nucleotide polymorphism (SNP) array that contains 250,000 markers (NspI 250K SNP array, Affymetrix, Santa Clara, CA). All women in this study identified as Caucasian. All subjects provided written informed consent to study participation and data release. This was a case-control study approved by the Institutional Review Board at the Atlantic Health System in Morristown New Jersey (R11-10-004). This case-control study compared single genotypes of 10 cases to 40 controls. All subjects were identified as Caucasian. Cases were women who experienced early overt POP recurrence after robotic sacrocolpopexy, and controls were randomly selected women with long term success after the same procedure.
Project description:Embryo DNA fingerprinting represents an important tool for tracking embryo-specific outcomes after multiple embryo transfer during IVF. The situation in which 2 embryos are transferred and only one implants represents a unique opportunity for the most well-controlled comparison of competent and incompetent embryos. Specifically, this design eliminates all patient-related variables from the comparison of embryos with or without reproductive potential. However, in order to determine which embryo implanted, the investigator must wait until newborn DNA is available upon delivery. This study validates a non-invasive fetal DNA fingerprinting method that reduces the time to identify which embryo implanted by approximately 31 weeks. Thirty-four patients were studied to determine if fingerprinting of fetal DNA extracted from maternal plasma at 9 gestational weeks concurred with the buccal DNA results obtained from the newborn after delivery. This validation required single nucleotide polymorphism (SNP) profiles on each couples’ preimplantation embryos, enriched fetal DNA from maternal plasma at 9 weeks gestation, and newborn DNA obtained from buccal swabs after delivery. The predictions from fetal DNA-based embryo tracking and gender assignments made at 9 weeks gestation were 100% consistent with standardized methods of assessment performed after term delivery. This study demonstrates the first validated fetal DNA fingerprinting method which predicts both gender and which embryo implanted at 9 weeks gestation following multiple embryo transfer. Affymetrix SNP arrays were processed and successfully completed according to the manufacturer's directions on DNA extracted from 136 embryos, 33 parental blood samples, 17 enriched fetal DNA samples and 21 buccal DNA samples.
Project description:Karyotyping by SNP array of primary uveal melanoma samples, uveal melanoma cell lines and normal controls The Human660WQuad v1.0 DNA Analysis Bead Chip and kit were used for high resolution molecular karyotyping of DNA isolated from snap-frozen primary uveal melanoma tissue isolated from enucleated eyes.
Project description:In the majority of colorectal cancers (CRC) under clinical suspicion for a hereditary cause, the disease-causing genetic factors are still to be discovered. In order to identify such genetic factors we stringently selected a discovery cohort of 41 CRC index patients with microsatellite-stable tumors. All patients were below 40 years of age at diagnosis and/or exhibited an overt family history. We employed genome-wide copy number profiling using high-resolution SNP-based array CGH on germline DNA, which resulted in the identification of novel copy number variants (CNVs) in 6 patients (15%) encompassing, among others, the cadherin gene CDH18, the bone morphogenetic protein antagonist family gene GREM1, and the breakpoint cluster region gene BCR. In addition, two genomic deletions were encountered encompassing two microRNA genes, hsa-mir-491/KIAA1797 and hsa-mir-646/AK309218. None of these CNVs has previously been reported in relation to CRC predisposition in humans, nor were they encountered in large control cohorts (>1,600 unaffected individuals). Since several of these newly identified candidate genes may be functionally linked to CRC development, our results illustrate the potential of this approach for the identification of novel candidate genes involved in CRC predisposition. Copy number detection was performed using CNAG2.0 software for 250k SNP arrays and using the Affymetrix Genotyping Console v2.1 software for SNP 6.0 arrays, Reference genomes are included in this data set. Germline genomic DNA from 41 patients with early-onset microsatellite stable colorectal cancer was hybridized on Affymetrix Nsp/6.0 SNP-based arrays according to manufacturer's procedures.