Decreased copy‐neutral loss of heterozygosity in African American colorectal cancers

Despite improvements over the past 20 years, African Americans continue to have the highest incidence and mortality rates of colorectal cancer (CRC) in the United States. While previous studies have found that copy number variations (CNVs) occur at similar frequency in African American and White CRCs, copy‐neutral loss of heterozygosity (cnLOH) has not been investigated. In the present study, we used publicly available data from The Cancer Genome Atlas (TCGA) as well as data from an African American CRC cohort, the Chicago Colorectal Cancer Consortium (CCCC), to compare frequencies of CNVs and cnLOH events in CRCs in the two racial groups. Using genotype microarray data, we analyzed large‐scale CNV and cnLOH events from 166 microsatellite stable CRCs—31 and 39 African American CRCs from TCGA and the CCCC, respectively, and 96 White CRCs from TCGA. As reported previously, the frequencies of CNVs were similar between African American and White CRCs; however, there was a significantly lower frequency of cnLOH events in African American CRCs compared to White CRCs, even after adjusting for demographic and clinical covariates. Although larger differences for chromosome 18 were observed, a lower frequency of cnLOH events in African American CRCs was observed for nearly all chromosomes. These results suggest that mechanistic differences, including differences in the frequency of cnLOH, could contribute to clinicopathological disparities between African Americans and Whites. Additionally, we observed a previously uncharacterized phenomenon we refer to as small interstitial cnLOH, in which segments of chromosomes from 1 to 5 Mb long were affected by cnLOH.     

Broad copy neutral‐loss of heterozygosity regions and rare recurring copy number abnormalities in normal karyotype‐acute myeloid leukemia genomes

We analyzed, by the latest high‐resolution SNP arrays, 19 Normal Karyotype (NK)‐AML patients at diagnosis (Dx) and remission (R) phases, to determine the number of tumor‐associated copy number abnormalities (CNAs) and copy neutral‐loss of heterozygosity (CN‐LOH) regions per patient and to identify possible recurring genomic abnormalities. The number of tumor‐associated CNAs was determined after comparison of matched Dx/R samples using stringent conditions able to reduce the number of false positive CNAs. With the exception of a single outlier case, a low number of CNAs per patient was detected (median value of 1 somatic loss or gain per patient). However, a high prevalence of CNAs (60–70% of the patients showed at least one tumor‐associated gain or loss) and few recurring CNAs were observed, thus providing new hints towards identification of cooperating mutations. An extensive search of all tumor‐associated CN‐LOH regions >1 Mb revealed only three broad regions (terminal 12Mb of 22q, terminal 27Mb of 1p and the whole chromosome 21) in three patients out of 19 (16%). CN‐LOH of the whole chromosome 21 was responsible for homozygosity of a missense mutation (R80C) of RUNX1/AML1. Our study suggests that a relative submicroscopic copy number stability NK‐AML genomes is associated with low recurrence of specific CNAs and CN‐LOH in NK‐AML patient population. Sequencing of candidate genes in the identified CNAs and CN‐LOH regions should be considered a priority in the search of novel driver mutations of AML. © 2010 Wiley‐Liss, Inc.     

High resolution copy number analysis of IRF4 translocation‐positive diffuse large B‐cell and follicular lymphomas

Translocations affecting chromosome subband 6p25.3 containing the IRF4 gene have been recently described as characteristic alterations in a molecularly distinct subset of germinal center B‐cell‐derived lymphomas. Secondary changes have yet only been described in few of these lymphomas. Here, we performed array‐comparative genomic hybridization and molecular inversion probe microarray analyses on DNA from 12 formalin‐fixed paraffin‐embedded and two fresh‐frozen IRF4 translocation‐positive lymphomas, which together with the previously published data on nine cases allowed the extension of copy number analyses to a total of 23 of these lymphomas. All except one case carried chromosomal imbalances, most frequently gains in Xq28, 11q22.3‐qter, and 7q32.1‐qter and losses in 6q13‐16.1, 15q14‐22.31, and 17p. No recurrent copy‐neutral losses of heterozygosity were observed. TP53 point mutations were detected in three of six cases with loss of 17p. Overall this study unravels a recurrent pattern of secondary genetic alterations in IRF4 translocation‐positive lymphomas. © 2012 Wiley Periodicals, Inc.     

Genome-wide analysis of loss of heterozygosity and copy number amplification in uterine leiomyomas using the 100K single nucleotide polymorphism array

Purpose

Uterine leiomyomas (fibroids) are benign smooth muscle tumors commonly found among reproductive-aged women. Though benign, these tumors are the leading indication for hysterectomies in the United States and cause significant morbidity. Despite the importance of this tumor in women's health, relatively little is known about the molecular etiology.

Methods

In this study, we used the Affymetrix 100K single nucleotide polymorphism (SNP) chip to assess whether the pattern and frequency of genome-wide loss of heterozygosity (LOH) and copy number amplifications is associated with clinical heterogeneity.

Results

Thirty-seven tumors with varying sizes and histology from eleven patients were analyzed. LOH was observed in 4/37 tumors (10.8%) and significantly associated with large-sized tumors (p < 0.0014). Two tumors revealed hemizygosity on chromosome 7q, a region that has been consistently reported to have LOH. Additionally, we detected one novel region of LOH, 16p13.11 in one tumor (2.7%). Copy number amplifications were observed on all chromosomes; however, most were low-level amplifications and only detected in a single tumor. One region of amplification at 3p26.3 was detected in four tumors.

Conclusions

Despite the use of a high-density SNP platform, our results suggest that genome-wide LOH and copy number amplifications are infrequent events and generally do not determine clinical and histologic characteristics of this disease.     

High‐resolution loss of heterozygosity screening implicates PTPRJ as a potential tumor suppressor gene that affects susceptibility to non‐hodgkin's lymphoma

We employed a Hidden‐Markov‐Model (HMM) algorithm in loss of heterozygosity (LOH) analysis of high‐density single nucleotide polymorphism (SNP) array data from Non‐Hodgkin's lymphoma (NHL) entities, follicular lymphoma (FL), and diffuse large B‐cell lymphoma (DLBCL). This revealed a high frequency of LOH over the chromosomal region 11p11.2, containing the gene encoding the protein tyrosine phosphatase receptor type J (PTPRJ). Although PTPRJ regulates components of key survival pathways in B‐cells (i.e., BCR, MAPK, and PI3K signaling), its role in B‐cell development is poorly understood. LOH of PTPRJ has been described in several types of cancer but not in any hematological malignancy. Interestingly, FL cases with LOH exhibited down‐regulation of PTPRJ, in contrast no significant variation of expression was shown in DLBCLs. In addition, sequence screening in Exons 5 and 13 of PTPRJ identified the G973A (rs2270993), T1054C (rs2270992), A1182C (rs1566734), and G2971C (rs4752904) coding SNPs (cSNPs). The A1182 allele was significantly more frequent in FLs and in NHLs with LOH. Significant over‐representation of the C1054 (rs2270992) and the C2971 (rs4752904) alleles were also observed in LOH cases. A haplotype analysis also revealed a significant lower frequency of haplotype GTCG in NHL cases, but it was only detected in cases with retention. Conversely, haplotype GCAC was over‐representated in cases with LOH. Altogether, these results indicate that the inactivation of PTPRJ may be a common lymphomagenic mechanism in these NHL subtypes and that haplotypes in PTPRJ gene may play a role in susceptibility to NHL, by affecting activation of PTPRJ in these B‐cell lymphomas. © 2013 Wiley Periodicals, Inc.     

Concurrent loss of heterozygosity and copy number analysis in adenoid cystic carcinoma by SNP genotyping arrays

Adenoid cystic carcinoma (ACC) is one of the most common malignancies to arise in the salivary glands, yet very little is known of the genetic alterations that are involved in the pathogenesis of this disease. To further examine the genetic changes that underlie ACC, we analyzed genomic DNA obtained from 22 primary ACC and two ACC-derived cell lines by high-density oligonucleotide single-nucleotide polymorphism genotyping arrays (Affymetrix GeneChip Human Mapping 100K Set). Allelotype calls were analyzed by the Haplotype Correction version of the Linkage Disequilibrium Hidden Markov Model to determine loss of heterozygosity using information derived only from tumor samples. Comparison of data obtained from matched tumor-normal samples suggested that only deletion calls of >3 Mb were reliable. Within these parameters, ACC samples revealed a mean of three deletions per tumor, and no consensus areas of deletion were observed across the majority of tumors. Similarly, copy number analysis of primary hybridization data revealed no consensus areas of gene amplification. This is in contrast to a much higher rate of genomic alterations detected in a cohort of squamous carcinomas analyzed by the same methods. Our data show that most ACC have predominantly stable genomes, which is consistent with the theory that telomere crisis does not play a significant role in early stages of ACC tumor progression. Our data suggest that gene mutation and/or epigenetic events that cannot be detected by assay of gross alteration of chromosomal structure are likely to underlie the malignant transformation events of this tumor type.     

Genome‐wide high‐resolution analysis of DNA copy number alterations in NF1‐associated malignant peripheral nerve sheath tumors using 32K BAC array

Neurofibromatosis Type I (NF1) is an autosomal dominant disorder characterized by the development of both benign and malignant tumors. The lifetime risk for developing a malignant peripheral nerve sheath tumor (MPNST) in NF1 patients is ～10% with poor survival rates. To date, the molecular basis of MPNST development remains unclear. Here, we report the first genome‐wide and high‐resolution analysis of DNA copy number alterations in MPNST using the 32K bacterial artificial chromosome microarray on a series of 24 MPNSTs and three neurofibroma samples. In the benign neurofibromas, apart from loss of one copy of the NF1 gene and copy number polymorphisms, no other changes were found. The profiles of malignant samples, however, revealed specific loss of chromosomal regions including 1p35‐33, 1p21, 9p21.3, 10q25, 11q22‐23, 17q11, and 20p12.2 as well as gain of 1q25, 3p26, 3q13, 5p12, 5q11.2‐q14, 5q21‐23, 5q31‐33, 6p23‐p21, 6p12, 6q15, 6q23‐q24, 7p22, 7p14‐p13, 7q21, 7q36, 8q22‐q24, 14q22, and 17q21‐q25. Copy number gains were more frequent than deletions in the MPNST samples (62% vs. 38%). The genes resident within common regions of gain were NEDL1 (7p14), AP3B1 (5q14.1), and CUL1 (7q36.1) and these were identified in >63% MPNSTs. The most frequently deleted locus encompassed CDKN2A, CDKN2B, and MTAP genes on 9p21.3 (33% cases). These genes have previously been implicated in other cancer conditions and therefore, should be considered for their therapeutic, prognostic, and diagnostic relevance in NF1 tumorigenesis. © 2009 Wiley‐Liss, Inc.     

High-resolution analysis of genetic alterations in small bowel carcinoid tumors reveals areas of recurrent amplification and loss

Carcinoid tumors of the small intestine are characterized by an indolent clinical course, secretion of neuropeptides, and resistance to standard cytotoxic chemotherapy. To evaluate the molecular events underlying carcinoid tumorigenesis, we used high-resolution arrays of single nucleotide polymorphisms to study chromosomal gains and losses in 24 primary and metastatic small bowel carcinoid tumors derived from 18 patients. Regions of gain or loss comprising whole chromosomes or large chromosomal regions constituted the most common class of anomalies. Loss of all or most of chromosome 18 was the commonest finding, evident in 11 of the 18 cases. Heterozygosity was also lost on chromosome arms 9p and 16q. The amplitude of observed gains was modest in comparison to those reported in some other tumor types. One focal region of recurrent gain on 14q mapped to the locus of the gene encoding the antiapoptotic protein DAD1, and immunohistochemical staining confirmed DAD1 protein expression in tumor samples. This detailed study of an uncommon neoplasm provides a basis to investigate putative oncogenes and tumor suppressor genes in intestinal carcinoid tumors.     

Genome‐wide analysis of esophageal adenocarcinoma yields specific copy number aberrations that correlate with prognosis

The incidence of esophageal adenocarcinoma (EAC) has been increasing rapidly for the past 3 decades in Western (Caucasian) populations. Curative treatment is based around esophagectomy, which has a major impact on quality of life. For those suitable for treatment with curative intent, 5‐year survival is ～30%. More accurate prognostic tools are therefore needed, and copy number aberrations (CNAs) may offer the ability to act as prospective biomarkers in this regard. We performed a genome‐wide examination of CNAs in 54 samples of EAC using single‐nucleotide polymorphism (SNP) arrays. Our aims were to describe frequent regions of CNA, to define driver CNAs, and to identify CNAs that correlated with survival. Regions of frequent amplification included oncogenes such as EGFR, MYC, KLF12, and ERBB2, while frequently deleted regions included tumor suppressor genes such as CDKN2A/B, PTPRD, FHIT, and SMAD4. The genomic identification of significant targets in cancer (GISTIC) algorithm identified 24 regions of gain and 28 regions of loss that were likely to contain driver changes. We discovered 61 genes in five regions that, when stratified by CNA type (gain or loss), correlated with a statistically significant difference in survival. Pathway analysis of the genes residing in both the GISTIC and prognostic regions showed they were significantly enriched for cancer‐related networks. Finally, we discovered that copy‐neutral loss of heterozygosity is a frequent mechanism of CNA in genes currently targetable by chemotherapy, potentially leading to under‐reporting of cases suitable for such treatment. © 2014 Wiley Periodicals, Inc.     

Integrated copy number and gene expression profiling analysis of epstein–barr virus‐positive diffuse large b‐cell lymphoma

Viral oncogenes and host immunosenescence have been suggested as causes of Epstein‐Barr virus‐positive diffuse large B‐cell lymphoma (EBV + DLBCL) of the elderly. To investigate the molecular genetic basis of immune evasion and tumor outgrowth, we analyzed copy number alterations (CNAs) and gene expression profiles in EBV + DLBCL samples compared with EBV ? DLBCL. There were relatively few genomic alterations in EBV + DLBCL compared with those detected in EBV‐negative DLBCL. The most frequent CNAs (>30%) in EBV + DLBCLs were gains at 1q23.2–23.3, 1q23.3, 1q32.1, 5p15.3, 8q22.3, 8q24.1–24.2, and 9p24.1; losses at 6q27, 7q11.2, and 7q36.2–36.3 were also recurrent. A gene expression profile analysis identified the host immune response as a key molecular signature in EBV + DLBCL. Antiviral response genes, proinflammatory cytokines, and chemokines associated with the innate immune response were overexpressed, indicating the presence of a virusinduced inflammatory microenvironment. Genes associated with the B‐cell receptor signaling pathway were downregulated. An integrated analysis indicated that SLAMF1 and PDL2 were key targets of the gains detected at 1q23.2–23.3 and 9p24.1. The chromosomal gain at 9p24.1 was associated with poor overall survival. Taken together, our results led to the identification of recurrent copy number alterations and distinct gene expression associated with the host immune response in EBV + DLBCL. We suggest that the upregulation of PDL2 on 9p24.1 promotes immune evasion and is associated with poor prognosis in EBV + DLBCL. © 2015 Wiley Periodicals, Inc.     

Integrated analysis of genome‐wide copy number alterations and gene expression in microsatellite stable,CpG island methylator phenotype‐negative colon cancer

Microsatellite stable (MSS), CpG island methylator phenotype (CIMP)‐negative colorectal tumors, the most prevalent molecular subtype of colorectal cancer, are associated with extensive copy number alteration (CNA) events and aneuploidy. We report on the identification of characteristic recurrent CNA (with frequency >25%) events and associated gene expression profiles for a total of 40 paired tumor and adjacent normal colon tissues using genome‐wide microarrays. We observed recurrent CNAs, namely gains at 1q, 7p, 7q, 8p12‐11, 8q, 12p13, 13q, 20p, 20q, Xp, and Xq and losses at 1p36, 1p31, 1p21, 4p15‐12, 4q12‐35, 5q21‐22, 6q26, 8p, 14q, 15q11‐12, 17p, 18p, 18q, 21q21‐22, and 22q. Within these genomic regions we identified 356 genes with significant differential expression (P < 0.0001 and ±1.5‐fold change) in the tumor compared to adjacent normal tissue. Gene ontology and pathway analyses indicated that many of these genes were involved in functional mechanisms that regulate cell cycle, cell death, and metabolism. An amplicon present in >70% of the tumor samples at 20q11‐20q13 contained several cancer‐related genes (AHCY, POFUT1, RPN2, TH1L, and PRPF6) that were upregulated and demonstrated a significant linear correlation (P < 0.05) for gene dosage and gene expression. Copy number loss at 8p, a CNA associated with adenocarcinoma and poor prognosis, was observed in >50% of the tumor samples and demonstrated a significant linear correlation for gene dosage and gene expression for two potential tumor suppressor genes, MTUS1 (8p22) and PPP2CB (8p12). The results from our integration analysis illustrate the complex relationship between genomic alterations and gene expression in colon cancer. © 2013 Wiley Periodicals, Inc.     

Distinct patterns of DNA copy number alterations associate with BRAF mutations in melanomas and melanoma‐derived cell lines

A majority of malignant melanomas harbor an oncogenic mutation in either BRAF or NRAS. If BRAF and NRAS transform melanoma cells by a similar mechanism, then additional genetic aberrations would be similar (or random). Alternatively, distinct mutation‐associated changes would suggest the existence of unique cooperating requirements for each mutation group. We first analyzed a panel of 52 melanoma cell lines (n = 35, 11, 6 for BRAF*, NRAS*, and BRAF/NRAS^wt/wt, respectively) by array‐based comparative genomic hybridization for unique alterations that associate with each mutation subgroup. Subsequently, those DNA copy number changes that correlated with a mutation subgroup were used to predict the mutation status of an independent panel of 43 tumors (n = 17, 13, 13 for BRAF*, NRAS*, and BRAF/NRAS^wt/wt, respectively). BRAF mutant tumors were classified with a high rate of success (74.4%, P = 0.002), whereas NRAS mutants were not significantly distinguished from wild types (26/43, P = 0.12). Copy number gains of 7q32.1‐36.3, 5p15.31, 8q21.11, and 8q24.11 were most strongly associated with BRAF* tumors and cell lines, as were losses of 11q24.2‐24.3. BRAF* melanomas appear to be associated with a specific profile of DNA copy number aberrations that is distinct from those found in NRAS* and BRAF/NRAS^wt/wt tumors. These findings suggest that although both BRAF and NRAS appear to function along the same signal transduction pathway, each may have different requirements for cooperating oncogenic events. The genetic loci that make up this profile may harbor therapeutic targets specific for tumors with BRAF mutations. © 2009 Wiley‐Liss, Inc.     

Consistent copy number changes and recurrent PRKAR1A mutations distinguish Melanotic Schwannomas from Melanomas: SNP‐array and next generation sequencing analysis

Melanotic Schwannomas (MS) are rare tumors that share histological features with melanocytic tumors and schwannomas. However, their genetics are poorly understood. To elucidate the genetic characteristics of MS, we performed genome‐wide studies in a series of cases. Twelve MS cases were available for the study. Genomic DNAs extracted from formalin‐fixed paraffin embedded tumor tissues were subjected to copy number (CN) and allelic imbalance (AI) analysis by Single Nucleotide Polymorphism (SNP)‐array and screened for mutations in coding exons of 341 key cancer‐associated genes using a hybrid capture‐based next‐generation sequencing (NGS) assay. Sanger sequencing was used to further verify recurrent mutations detected by NGS study. SNP‐array analysis revealed remarkably stereotypic chromosomal abnormalities in MS. Hypodiploidy was common, typically involving monosomies of chromosomes 1, 2, and 17. All 12 samples showed mutations in PRKAR1A gene, including 2 cases with 2 mutations each. The 14 mutations were scattered across PRKAR1A, and most were inactivating mutations. AI on 17q, presenting as loss of heterozygosity with or without CN losses, combined with a PRKAR1A mutation was observed in 9/12 MS cases. The remaining 3 cases included the two samples harboring two mutations in PRKAR1A. MS exhibits a stereotypic pattern of chromosomal losses. In contrast, melanomas are typically characterized by the presence of multiple CN aberrations, without demonstrable differences in the frequency of losses and gains. Inactivation of both alleles of PRKAR1A by “two hits” observed in almost all cases underscores the central role of PRKAR1A in the pathogenesis of this neoplasm. © 2015 Wiley Periodicals, Inc.     

High‐resolution genomic analysis suggests the absence of recurrent genomic alterations other than SMARCB1 aberrations in atypical teratoid/rhabdoid tumors

Atypical teratoid/rhabdoid tumor (AT/RT) is a rare malignant pediatric brain tumor characterized by genetic alterations affecting the SMARCB1 (hSNF5/INI1) locus in chromosome band 22q11.2. To identify potential additional genetic alterations, high‐resolution genome‐wide analysis was performed using a molecular inversion probe single‐nucleotide polymorphism (MIP SNP) assay (Affymetrix OncoScan formalin‐fixed paraffin‐embedded express) on DNA isolated from 18 formalin‐fixed paraffin‐embedded archival samples. Alterations affecting the SMARCB1 locus could be demonstrated by MIP SNP in 15 out of 16 evaluable cases (94%). These comprised five tumors with homozygous deletions, six tumors with heterozygous deletions, and four tumors with copy number neutral loss of heterozygosity (LOH) involving chromosome band 22q11.2. Remarkably, MIB SNP analysis did not yield any further recurrent chromosomal gains, losses, or copy neutral LOH. On MIP SNP screening for somatic mutations, the presence of a SMARCB1 mutation (c.472C>T p.R158X) was confirmed, but no recurrent mutations of other cancer relevant genes could be identified. Results of fluorescence in situ hybridization, multiplex ligation‐dependent probe amplification, and SMARCB1 sequencing were highly congruent with that of the MIP SNP assay. In conclusion, these data further suggest the absence of recurrent genomic alterations other than SMARCB1 in AT/RT. © 2012 Wiley Periodicals, Inc.     

Comprehensive analysis of loss of heterozygosity events in glioblastoma using the 100K SNP mapping arrays and comparison with copy number abnormalities defined by BAC array comparative genomic hybridization

We have undertaken an extensive high-resolution analysis of loss of heterozygosity (LOH) in 30 high grade gliomas using the Affymetrix 100K SNP mapping array. Only 70% of LOH events were accompanied by a copy number loss (CNA(loss)), and of the other 30%, the distal region of 17p preferentially showed copy number neutral (CNN)-associated LOH. Combined analysis of CNA(loss) and LOH using MergeLevels analysis software predicts whether the observed losses occurred on a diploid or tetraploid background. In a side-by-side comparison between SNP and bacterial artificial chromosome (BAC) arrays, the overall identification of CNAs was similar on both platforms. The resolution provided by the SNP arrays, however, allowed a considerably more accurate definition of breakpoints as well as defining small events within the cancer genomes, which could not be detected on BAC arrays. CNN LOH was only detected by the SNP arrays, as was ploidy prediction. From our analysis, therefore, it is clear that simultaneously defining CNAs and CNN-LOH using the SNP platform provides a higher resolution and more complete analysis of the genetic events that have occurred within tumor cells. Our extensive analysis of SNP array data has also allowed an objective assessment of threshold LOH scores that can accurately predict LOH. This capability has important implications for interpretation of LOH events since they have consistently been used to localize potential tumor suppressor genes within the cancer genome.     

Accuracy of an array comparative genomic hybridization (CGH) technique in detecting DNA copy number aberrations: comparison with conventional CGH and loss of heterozygosity analysis in prostate cancer

Although genomic DNA microarray (array comparative genomic hybridization [CGH]) technique is a rapid and powerful diagnostic tool for the comprehensive analysis of detailed chromosomal alterations of DNA copy numbers, its accuracy has not been well demonstrated. To clarify the accuracy of this technique, we applied array CGH spotted with 283 specific genes to 11 clinical prostate cancers, and the results were compared with comparative genomic hybridization (conventional CGH) and loss of heterozygosity (LOH) analysis using microsatellite DNA markers. The overall rate of correspondence between array CGH and conventional CGH with respect to the loss of DNA sequences was 94.5%. When the results of both CGH techniques were compared with those of LOH analysis, the correspondence rate of array CGH was significantly higher than that of conventional CGH (93.4% vs. 72.2%, P<0.05). In conclusion, the accuracy of array CGH was higher than that of conventional CGH in detecting losses of the DNA sequences. Array CGH is shown to be a promising tool for screening to identify unknown genes involved in tumorigenesis in prostate cancer.