Copy Number Alterations In Cancer Research Articles

Insights into the Clinical, Biological and Therapeutic Impact of Copy Number Alteration in Cancer.

Copy number alterations (CNAs), resulting from the gain or loss of genetic material from as little as 50 base pairs or as big as entire chromosome(s), have been associated with many congenital diseases, de novo syndromes and cancer. It is established that CNAs disturb the dosage of genomic regions including enhancers/promoters, long non-coding RNA and gene(s) among others, ultimately leading to an altered balance of key cellular functions. In cancer, CNAs have been associated with almost all steps of the disease: predisposition, initiation, development, maintenance, response to treatment, resistance, and relapse. Therefore, understanding how specific CNAs contribute to tumourigenesis may provide prognostic insight and ultimately lead to the development of new therapeutic approaches to improve patient outcomes. In this review, we provide a snapshot of what is currently known about CNAs and cancer, incorporating topics regarding their detection, clinical impact, origin, and nature, and discuss the integration of innovative genetic engineering strategies, to highlight the potential for targeting CNAs using novel, dosage-sensitive and less toxic therapies for CNA-driven cancer.

Abstract 3364: PELO is a synthetic lethal target in chromosome 9p21-deleted or MSI cancers

Abstract Homozygous deletion of chromosomal region 9p21.3 is one of the most frequently observed somatic copy number alterations in cancers, occurring in approximately 15% of all cancers. Many of the 9p21.3-deleted cancers are further characterized by poor clinical outcomes including subsets of glioblastoma, pancreatic, esophageal, and urothelial cancers. Large deletions of chromosomal regions may also provide unique therapeutic opportunities. Specifically, cancer-specific therapeutic opportunities can arise from co-deletions of passenger genes neighboring tumor suppressors. As such, we sought to identify novel therapeutic targets associated with Ch9p21.3 loss in cancers and identified the pelota mRNA surveillance and ribosome rescue factor (PELO) as the top preferential dependency in 9p21.3-deleted cancers. Intriguingly in another analysis, we identified PELO to be amongst the top preferential dependencies in cancers with microsatellite instability (MSI), which accounts for subsets of colorectal, endometrial, gastric, and ovarian cancers. Given the strength of PELO as a candidate synthetic lethal target in two distinct cancer subsets, we performed focused validation with CRISPR interference across multiple cell lines. Knockdown of PELO preferentially impaired the viability of MSI or 9p21-deleted as compared to control (9p21-proficient and microsatellite stable) cells. Further validation with patient-derived organoid and in vivo xenograft models confirmed these findings. We next sought to refine the predictive biomarkers for PELO dependency and identified loss of FOCAD (a 9p21.3 gene and an interactor of the SKI mRNA surveillance pathway) as necessary and sufficient for PELO dependency in the 9p21.3-deleted context. Our findings implicate splicing alterations involving TTC37, a key protein in the SKI mRNA surveillance complex, as the underlying cause of PELO dependency in MSI cancers. Together, we found that loss of large deletions of 9p21.3 and MSI independently impair the SKI complex, uncovering a dependency upon PELO and highlighting a novel functional interaction between PELO and the SKI complex. Furthermore, the strength of this synthetic lethal interaction in a broad range of cancers with poor outcomes underscores the potential of PELO as a promising drug target for patients with 9p21.3-deleted or MSI cancers. Citation Format: Edmond M. Chan, Patricia Borck, Nolan Bick, Kristina Jankovic, Isabella Boyle, Lucy Parker-Burns, Kyla Foster, Anthony Lau, Ashir Borah, Joshua Dempster, Francisca Vazquez. PELO is a synthetic lethal target in chromosome 9p21-deleted or MSI cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3364.

SWAN pathway-network identification of common aneuploidy-based oncogenic drivers.

Haploinsufficiency drives Darwinian evolution. Siblings, while alike in many aspects, differ due to monoallelic differences inherited from each parent. In cancer, solid tumors exhibit aneuploid genetics resulting in hundreds to thousands of monoallelic gene-level copy-number alterations (CNAs) in each tumor. Aneuploidy patterns are heterogeneous, posing a challenge to identify drivers in this high-noise genetic environment. Here, we developed Shifted Weighted Annotation Network (SWAN) analysis to assess biology impacted by cumulative monoallelic changes. SWAN enables an integrated pathway-network analysis of CNAs, RNA expression, and mutations via a simple web platform. SWAN is optimized to best prioritize known and novel tumor suppressors and oncogenes, thereby identifying drivers and potential druggable vulnerabilities within cancer CNAs. Protein homeostasis, phospholipid dephosphorylation, and ion transport pathways are commonly suppressed. An atlas of CNA pathways altered in each cancer type is released. These CNA network shifts highlight new, attractive targets to exploit in solid tumors.

CNA2Subpathway: identification of dysregulated subpathway driven by copy number alterations in cancer.

Biological pathways reflect the key cellular mechanisms that dictate disease states, drug response and altered cellular function. The local areas of pathways are defined as subpathways (SPs), whose dysfunction has been reported to be associated with the occurrence and development of cancer. With the development of high-throughput sequencing technology, identifying dysfunctional SPs by using multi-omics data has become possible. Moreover, the SPs are not isolated in the biological system but interact with each other. Here, we propose a network-based calculated method, CNA2Subpathway, to identify dysfunctional SPs is driven by somatic copy number alterations (CNAs) in cancer through integrating pathway topology information, multi-omics data and SP crosstalk. This provides a novel way of SP analysis by using the SP interactions in the system biological level. Using data sets from breast cancer and head and neck cancer, we validate the effectiveness of CNA2Subpathway in identifying cancer-relevant SPs driven by the somatic CNAs, which are also shown to be associated with cancer immune and prognosis of patients. We further compare our results with five pathway or SP analysis methods based on CNA and gene expression data without considering SP crosstalk. With these analyses, we show that CNA2Subpathway could help to uncover dysfunctional SPs underlying cancer via the use of SP crosstalk. CNA2Subpathway is developed as an R-based tool, which is freely available on GitHub (https://github.com/hanjunwei-lab/CNA2Subpathway).

Copy number alterations in cancer: detection and precision medicine

Copy number alterations (CNAs) are genomic alterations where some regions exhibit more or less copy number than the normal two copies. In this talk, I will describe two ideas: (1) how CNAs are estimated from data generated by next generation sequencing (NGS) and what steps are required to make the data interpretable, (2) how the CNA can be utilised for precision medicine in terms of prediction of tumour subtypes and prediction of cancer patients’ survival. If time permits, I will also discuss how to estimate genomic markers from CNA profile across cancer patients.

A systematic evaluation of copy number alterations detection methods on real SNP array and deep sequencing data

BackgroundThe Copy Number Alterations (CNAs) are discovered to be tightly associated with cancers, so accurately detecting them is one of the most important tasks in the cancer genomics. A series of CNAs detection methods have been proposed and new ones are still being developed. Due to the complexity of CNAs in cancers, no CNAs detection method has been accepted as the gold standard caller. Several evaluation works have made attempts to reveal typical CNAs detection methods’ performance. Limited by the scale of evaluation data, these different comparison works don’t reach a consensus and the researchers are still confused on how to choose one proper CNAs caller for their analysis. Therefore, it needs a more comprehensive evaluation of typical CNAs detection methods’ performance.ResultsIn this work, we use a large-scale real dataset from CAGEKID consortium to evaluate total 12 typical CNAs detection methods. These methods are most widely used in cancer researches and always used as benchmark for the newly proposed CNAs detection methods. This large-scale dataset comprises of SNP array data on 94 samples and the whole genome sequencing data on 10 samples. Evaluations are comprehensively implemented in current scenarios of CNAs detection, which include that detect CNAs on SNP array data, on sequencing data with tumor and normal matched samples and on sequencing data with single tumor sample. Three SNP based methods are firstly ranked. Subsequently, the best SNP based method’s results are used as benchmark to compare six matched samples based methods and three single tumor sample based methods in terms of the preprocessing, recall rate, Jaccard index and segmentation characteristics.ConclusionsOur survey thoroughly reveals 12 typical methods’ superiority and inferiority. We explain why methods show specific characteristics from a methodological standpoint. Finally, we present the guiding principle for choosing one proper CNAs detection method under specific conditions. Some unsolved problems and expectations are also addressed for upcoming CNAs detection methods.

MDM4 Is Targeted by 1q Gain and Drives Disease in Burkitt Lymphoma.

Oncogenic MYC activation promotes proliferation in Burkitt lymphoma, but also induces cell-cycle arrest and apoptosis mediated by p53, a tumor suppressor that is mutated in 40% of Burkitt lymphoma cases. To identify molecular dependencies in Burkitt lymphoma, we performed RNAi-based, loss-of-function screening in eight Burkitt lymphoma cell lines and integrated non-Burkitt lymphoma RNAi screens and genetic data. We identified 76 genes essential to Burkitt lymphoma, including genes associated with hematopoietic cell differentiation (FLI1, BCL11A) or B-cell development and activation (PAX5, CDKN1B, JAK2, CARD11) and found a number of context-specific dependencies including oncogene addiction in cell lines with TCF3/ID3 or MYD88 mutation. The strongest genotype-phenotype association was seen for TP53. MDM4, a negative regulator of TP53, was essential in TP53 wild-type (TP53wt) Burkitt lymphoma cell lines. MDM4 knockdown activated p53, induced cell-cycle arrest, and decreased tumor growth in a xenograft model in a p53-dependent manner. Small molecule inhibition of the MDM4-p53 interaction was effective only in TP53wt Burkitt lymphoma cell lines. Moreover, primary TP53wt Burkitt lymphoma samples frequently acquired gains of chromosome 1q, which includes the MDM4 locus, and showed elevated MDM4 mRNA levels. 1q gain was associated with TP53wt across 789 cancer cell lines and MDM4 was essential in the TP53wt-context in 216 cell lines representing 19 cancer entities from the Achilles Project. Our findings highlight the critical role of p53 as a tumor suppressor in Burkitt lymphoma and identify MDM4 as a functional target of 1q gain in a wide range of cancers that is therapeutically targetable. SIGNIFICANCE: Targeting MDM4 to alleviate degradation of p53 can be exploited therapeutically across Burkitt lymphoma and other cancers with wild-type p53 harboring 1q gain, the most frequent copy number alteration in cancer.

Circulating Tumor Cells as a Predictor of Treatment Response in Clinically Localized Prostate Cancer.

Using nonenrichment-based, potentially more sensitive Epic Sciences circulating tumor cell (CTC) platform, we sought to detect and characterize CTCs in untreated, high-risk localized prostate cancer and to evaluate their clinical implication. Between 2012 and 2015, blood samples were prospectively collected from patients with National Comprehensive Cancer Network high-risk localized prostate cancer undergoing either radiotherapy (XRT) plus androgen deprivation therapy or radical prostatectomy (RP) with curative intent. Samples were analyzed with the Epic Sciences platform with 4J,6-diamidino-2-phenylindole, CD45, cytokeratin (CK), and androgen receptor (AR) N-terminal staining. CTC counts were correlated with biochemical recurrence (BCR). A diversity of CTC subtypes, including CK-positive, CK-negative, AR-positive, and CTC clusters, were observed in 73.3% (33 of 45) of patients with evaluable data. The median follow-up was 14.2 months (range, 0.5 to 43.7 months). BCR occurred more frequently in the RP group than XRT (15 of 26 v one of 19), with most patients in the XRT group continuing to receive androgen deprivation therapy. A higher proportion of metastatic events were observed in the RP group (five of 26 v one of 19). In the RP group, BCR and development of metastases were associated with a higher total number of CTCs, AR-positive CTCs, and CTC phenotypic heterogeneity. One patient who developed BCR and metastases quickly after RP had diverse phenotypical CTC subtypes, and single-cell genomic analyses of all detectable CTCs confirmed common prostate cancer copy number alterations and PTEN loss. CTCs can be identified in most patients with high-risk localized prostate cancer before definitive therapy using the Epic Sciences platform. If confirmed in a larger cohort with longer follow-up, phenotypic and genomic characterization of CTCs pretherapy may provide an additional means of risk stratifying patients with newly diagnosed high-risk disease and potentially help identify patients who could require multimodal therapy.

Defining the heterogeneity landscape of pancreatic cancer copy number alterations.

e15776 Background: Pancreatic cancer (PDAC) is projected to become the second leading cause of cancer related mortality by 2030. Bulk whole genome sequencing studies of PDAC have characterized the landscape of clonal mutations and highlighted the prominence of copy number alterations (CNAs) in PDAC genomes. However, little is known with regards to the extent of sub-clonal heterogeneity of somatic CNAs and it is hypothesized that this heterogeneity is a contributing factor to the limited effectiveness of existing therapies. Methods: We retrieved absolute copy number information using bulk sparse whole genome sequencing of multi-region sampled PDAC samples as well as matching primary-metastasis tumor samples from over 100 patients. In addition, we analyzed copy number variations in a subset of these samples (n = 15) at single-cell resolution (~1000 cells in total). Results: We describe a detailed picture of sub-clonal CNAs genetic heterogeneity. Our results illustrate, among other findings, (1) extensive sub-clonal diversity of CNAs giving rise to many genetically unique sub-clonal cancer populations, (2) somatic mosaicism of chromosomal amplicons in single-cancer cells, (3) variation in the dosage of cancer genes, including the KRAS oncogene, in different tumor sub-clones and (4) somatic alterations, such as amplification of 8q11 containing the metastasis promoting gene IKBKB, associated with primary PDAC progression to liver metastasis. Conclusions: Our results offer an in-depth view of the sub-clonal heterogeneity of somatic CNAs in pancreatic cancer and illustrate ways in which such heterogeneity could lead to therapeutic resistance.

Identification and Characterization of MicroRNAs Associated with Somatic Copy Number Alterations in Cancer.

MicroRNAs (miRNAs) are key molecules that regulate biological processes such as cell proliferation, differentiation, and apoptosis in cancer. Somatic copy number alterations (SCNAs) are common genetic mutations that play essential roles in cancer development. Here, we investigated the association between miRNAs and SCNAs in cancer. We collected 2538 tumor samples for seven cancer types from The Cancer Genome Atlas. We found that 32−84% of miRNAs are in SCNA regions, with the rate depending on the cancer type. In these regions, we identified 80 SCNA-miRNAs whose expression was mainly associated with SCNAs in at least one cancer type and showed that these SCNA-miRNAs are related to cancer by survival analysis and literature searching. We also identified 58 SCNA-miRNAs common in the seven cancer types (CC-SCNA-miRNAs) and showed that these CC-SCNA-miRNAs are more likely to be related with protein and gene expression than other miRNAs. Furthermore, we experimentally validated the oncogenic role of miR-589. In conclusion, our results suggest that SCNA-miRNAs significantly alter biological processes related to cancer development, confirming the importance of SCNAs in non-coding regions in cancer.

CORE: A Software Tool for Delineating Regions of Recurrent DNA Copy Number Alteration in Cancer.

Collections of genomic intervals are a common data type across many areas of computational biology. In cancer genomics, in particular, the intervals often represent regions with altered DNA copy number, and their collections exhibit recurrent features, characteristic of a given cancer type. Cores of Recurrent Events (CORE) is a versatile computational tool for identification of such recurrent features. Here we provide practical guidance for the use of CORE, implemented as an eponymous R package.

An integrated approach to reveal miRNAs' impacts on the functional consequence of copy number alterations in cancer.

Copy number alteration (CNA) is known to induce gene expression changes mainly through dosage effect, and therefore affect the initiation and progression of tumor. However, tumor samples exhibit heterogeneity in gene dosage sensitivity due to the complicated mechanisms of transcriptional regulation. Currently, no high-throughput method has been available for identifying the regulatory factors affecting the functional consequences of CNA, and determining their effects on cancer. In view of the important regulatory role of miRNA, we investigated the influence of miRNAs on the dosage sensitivities of genes within the CNA regions. By integrating copy number, mRNA expression, miRNA expression profiles of three kinds of cancer, we observed a tendency for high dosage-sensitivity genes to be more targeted by miRNAs in cancer, and identified the miRNAs regulating the dosage sensitivity of amplified/deleted target genes. The results show that miRNAs can modulate oncogenic biological functions by regulating the genes within the CNA regions, and thus play a role as a trigger or balancer in cancer, affecting cancer processes, even survival. This work provided a framework for analyzing the regulation of dosage effect, which will shed a light on understanding the oncogenic and tumor suppressive mechanisms of CNA. Besides, new cancer-related miRNAs were identified.

Abstract 433: Triplication of HMGN1 promotes B cell acute lymphoblastic leukemia (B-ALL) through suppression of H3K27me3

Abstract Our goal is to identify oncogenic loci in regions of recurrent DNA copy number alterations in cancer. Constitutional trisomy 21 (Down syndrome) carries a 20-fold increased risk of B-ALL, and chr.21 gains are the most common acquired aneuploidy in B-ALL. Interstitial amplification in the chr.21q22 region (iAMP21) is also a recurrent finding in B-ALL and carries a poor prognosis. However, the gene(s) on chr.21 responsible for this association remain unclear. We studied the Ts1Rhr mouse, which carries germline triplication of 31 genes homologous to human chr.21q22. Chr.21q22 triplication was sufficient to promote B cell autonomous self-renewal and maturation defects, and cooperated with BCR-ABL or CRLF2 with JAK2 R683G to accelerate leukemogenesis. Chr.21q22 triplication also resulted in histone H3K27 hypomethylation at gene promoters, and the expression signature of triplicated B cells was enriched for genes targeted by polycomb repressor complex 2 (PRC2), which trimethylates H3K27. Thus, chr.21q22 triplication may deregulate B cell development by causing H3K27 hypomethylation at genes critical for progenitor cell growth. In support of this hypothesis, pharmacologic inhibition of PRC2 function was sufficient to confer self-renewal in wild-type B cells, while inhibition of H3K27 demethylases blocked self-renewal induced by chr.21q22 triplication. In three independent B-ALL cohorts, PRC2/H3K27 gene signatures distinguished leukemias with +21 from those without, validating the same biology in human disease. One of the 31 triplicated genes, HMGN1, encodes a nucleosome binding protein known to modulate chromatin structure and facilitate transcriptional activation. When we overexpressed HMGN1 in BaF3 proB cells, H3K27me3 decreased proportionally to the level of overexpression. We next knocked down each of the 31 triplicated genes with lentivirally-expressed shRNAs (5 per gene) and assessed the effects on growth of Ts1Rhr and wild-type primary B cells. Strikingly, Hmgn1 was the top scoring gene and all 5 hairpins targeting Hmgn1 were depleted in the assay. Finally, we studied transgenic mice (HMGN1_OE) that overexpress human HMGN1 (∼2-fold total overexpression). HMGN1_OE mice had a defect in B cell maturation, increased proB colony forming capacity, and a transcriptional signature overlapping with that of triplication of all 31 Ts1Rhr genes. In a bone marrow transplant model driven by BCR-ABL, recipients of HMGN1_OE bone marrow developed B-ALL with decreased latency (median 33 days vs not reached) and increased penetrance (17/18 vs 4/17 mice died by 80 days; leukemia-free survival difference P<0.001) compared to recipients of wild-type bone marrow. These data indicate that HMGN1 is a B-ALL oncogene, and therapies targeting HMGN1 or the downstream effects of HMGN1 overexpression on epigenetic histone modifications may be effective in B-ALL with copy number gains involving chr.21q22. Citation Format: Andrew A. Lane, Bjoern Chapuy, Charles Y. Lin, Trevor Tivey, Hubo Li, Elizabeth Townsend, Diederik van Bodegom, Tovah A. Day, Shuo-Chieh Wu, Huiyun Liu, Akinori Yoda, Gabriela Alexe, Anna Schinzel, Timothy J. Sullivan, Sebastien Malinge, Jordan Taylor, Kimberly Stegmaier, Jacob Jaffe, Michael Bustin, Geertruy te Kronnie, Shai Izraeli, Marian Harris, Kristen Stevenson, Donna Neuberg, Lewis B. Silverman, Steven E. Sallan, James E. Bradner, William C. Hahn, John D. Crispino, David Pellman, David M. Weinstock. Triplication of HMGN1 promotes B cell acute lymphoblastic leukemia (B-ALL) through suppression of H3K27me3. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 433. doi:10.1158/1538-7445.AM2014-433

Abstract 283: Biomarker search using gene expression databases in a phase III, controlled clinical trial of postoperative adjuvant chemotherapy for stage III colon cancer (acts-cc): Correlation between gene expression and DNA copy number

Abstract Background: The ACTS-CC trial is a randomized, controlled phase III study designed to validate the noninferiority of S-1 to UFT/LV as adjuvant chemotherapy for stage III colon cancer and rectosigmoid cancer. A prospective biomarker search was performed as an auxiliary study of the ACTS-CC trial, using formalin-fixed, paraffin-embedded (FFPE) specimens obtained from 892 patients. The gene expression levels of 5-FU metabolizing enzymes and folate metabolizing enzymes and alterations of genome-wide copy numbers in tumor have been reported (2012 and 2013 Annual Meetings of AACR). In the present study, we performed correlation analyses of gene expression and DNA copy number data to characterize colorectal cancer and to prepare for a pre-planned analysis of predictive or prognostic biomarkers. Methods: FFPE specimens for this biomarker study were obtained after receiving informed consent from 892 (gene expression analysis) or 795 (DNA copy number analysis) of 1535 patients enrolled between April 2009 and January 2010. Macro-dissections were performed to extract total RNA and genomic DNA from 10-μm-thick FFPE specimens of colon cancer. Gene expression levels of 11 enzymes (TS, DPD, TP, OPRT, FPGS, GGH, DHFR, MTHFR, MTHFD, FOLRA, GART) related to 5-FU and folic acid metabolism were studied according to the Danenberg Tumor ProfileTM method (Shirota, Y. JCO 2001). Somatic copy-number alterations in cancer were analyzed by high-density SNP array analysis (Human 250K StyI array, Affymetrix, Santa Clara, CA). To detect copy-number alterations, the scanned image CEL files were imported into Partek Genomics Suite v6.6 (Partek Inc., St. Louis, MO, USA). We compared mRNA level, gene copy number and genome-wide segment copy number across a total of 161 colorectal cancers. Results: Gene expression levels were successfully estimated in 521-808 samples (84.0-90.0%, median 89.4%). Genome-wide DNA copy numbers profiles of 161 samples were obtained by GeneChip. Extracted genomic DNA from 616 of 777 samples that were not subjected to microarray analysis served as validation samples. Frequencies of copy number gain (>2.3) ranged from 0% to 57% for 11 genes, whereas frequencies of copy number loss (<1.7) ranged from 24.8% to 87%. Among 11 genes, the DNA copy numbers of GART, GGH, MTHFD1, and FPGS most strongly correlated with mRNA expression: correlation coefficients of these genes were 0.48, 0.45, 0.42, and 0.41, respectively. Gene expressions of OPRT or TP were influenced not only by their own DNA copy numbers but also by other genomic segments of 20q or 18q on genome-wide analysis. Conclusions: Gene expression of folate metabolizing enzymes positively correlated with DNA copy numbers in patients with stage III colorectal cancer. Such correlations may merit further evaluation to identify potential biomarkers. Citation Format: Hiroyuki Uetake, Toshiaki Ishikawa, Megimi Ishiguro, Shigeyuki Matsui, Kenichi Sugihara, ACTS-CC Study Group. Biomarker search using gene expression databases in a phase III, controlled clinical trial of postoperative adjuvant chemotherapy for stage III colon cancer (acts-cc): Correlation between gene expression and DNA copy number. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 283. doi:10.1158/1538-7445.AM2014-283

Genome-wide profiling of copy number alterations in cancer: focus on melanoma

Thanks to a never-before detailed view of the human genome, the last decade has brought to light the notion of DNA copy number variation (CNV) as the pivotal force contributing to population genomic diversity and evolution. It is as well clear now that cancer typically results in loosened control over genomic integrity and that the acquisition of somatic copy number alterations (SCNAs), whether confined to specific genes or affecting entire chromosome arms, is likely to be a fundamental prerequisite to the adaptive pressure that drives oncogenesis. This review gives a brief overview of key developments in genome-wide SCNA profiling, with specific emphasis on array-based techniques and deep-sequencing, which indeed enabled us to identify the large majority of genomic regions undergoing frequent alteration in human cancers and defining recognizable clinical phenotype. Alongside with the prospective to take advantage for future personalized precision medicine, high-throughput SCNA analysis have already proven diagnostic and prognostic potential, particularly for those clinically unpredictable and therapy-refractory tumors, such us cutaneous melanoma. Biomedical Reviews 2013; 24: 11-24.

High Levels of Genomic Aberrations in Serous Ovarian Cancers Are Associated with Better Survival

Genomic instability and copy number alterations in cancer are generally associated with poor prognosis; however, recent studies have suggested that extreme levels of genomic aberrations may be beneficial for the survival outcome for patients with specific tumour types. We investigated the extent of genomic instability in predominantly high-grade serous ovarian cancers (SOC) using two independent datasets, generated in Norway (n = 74) and Australia (n = 70), respectively. Genomic instability was quantified by the Total Aberration Index (TAI), a measure of the abundance and genomic size of copy number changes in a tumour. In the Norwegian cohort, patients with TAI above the median revealed significantly prolonged overall survival (p<0.001) and progression-free survival (p<0.05). In the Australian cohort, patients with above median TAI showed prolonged overall survival (p<0.05) and moderately, but not significantly, prolonged progression-free survival. Results were confirmed by univariate and multivariate Cox regression analyses with TAI as a continuous variable. Our results provide further evidence supporting an association between high level of genomic instability and prolonged survival of high-grade SOC patients, possibly as disturbed genome integrity may lead to increased sensitivity to chemotherapeutic agents.

Role of DNA secondary structures in fragile site breakage along human chromosome 10

The formation of alternative DNA secondary structures can result in DNA breakage leading to cancer and other diseases. Chromosomal fragile sites, which are regions of the genome that exhibit chromosomal breakage under conditions of mild replication stress, are predicted to form stable DNA secondary structures. DNA breakage at fragile sites is associated with regions that are deleted, amplified or rearranged in cancer. Despite the correlation, unbiased examination of the ability to form secondary structures has not been evaluated in fragile sites. Here, using the Mfold program, we predict potential DNA secondary structure formation on the human chromosome 10 sequence, and utilize this analysis to compare fragile and non-fragile DNA. We found that aphidicolin (APH)-induced common fragile sites contain more sequence segments with potential high secondary structure-forming ability, and these segments clustered more densely than those in non-fragile DNA. Additionally, using a threshold of secondary structure-forming ability, we refined legitimate fragile sites within the cytogenetically defined boundaries, and identified potential fragile regions within non-fragile DNA. In vitro detection of alternative DNA structure formation and a DNA breakage cell assay were used to validate the computational predictions. Many of the regions identified by our analysis coincide with genes mutated in various diseases and regions of copy number alteration in cancer. This study supports the role of DNA secondary structures in common fragile site instability, provides a systematic method for their identification and suggests a mechanism by which DNA secondary structures can lead to human disease.

A U-turn for mutagenesis?

Replication restart from collapsed replication forks can be mutagenic. Mizuno et al. studied replication restart in fission yeast. They found that even when replication restart occurs correctly, if the replication fork encounters a palindromic sequence within the first few kilobases, then the replication machinery occasionally makes a U-turn, generating rearranged daughter chromosomes with absent or multiple centromeres. Such a mechanism might contribute to chromosomal rearrangements and copy number alterations in cancer.

Comparative Analysis of Methods for Identifying Recurrent Copy Number Alterations in Cancer

Recurrent copy number alterations (CNAs) play an important role in cancer genesis. While a number of computational methods have been proposed for identifying such CNAs, their relative merits remain largely unknown in practice since very few efforts have been focused on comparative analysis of the methods. To facilitate studies of recurrent CNA identification in cancer genome, it is imperative to conduct a comprehensive comparison of performance and limitations among existing methods. In this paper, six representative methods proposed in the latest six years are compared. These include one-stage and two-stage approaches, working with raw intensity ratio data and discretized data respectively. They are based on various techniques such as kernel regression, correlation matrix diagonal segmentation, semi-parametric permutation and cyclic permutation schemes. We explore multiple criteria including type I error rate, detection power, Receiver Operating Characteristics (ROC) curve and the area under curve (AUC), and computational complexity, to evaluate performance of the methods under multiple simulation scenarios. We also characterize their abilities on applications to two real datasets obtained from cancers with lung adenocarcinoma and glioblastoma. This comparison study reveals general characteristics of the existing methods for identifying recurrent CNAs, and further provides new insights into their strengths and weaknesses. It is believed helpful to accelerate the development of novel and improved methods.

Chromosome 1q25.3 copy number alterations in primary breast cancers detected by multiplex ligation-dependent probe amplification and allelic imbalance assays and its comparison with fluorescent in situ hybridization assays

Breast cancer is characterized by a complex pattern of chromosomal alterations, which is in accordance with its heterogeneous character. Simultaneous gains of 1q and losses of 16q represent early events in breast tumourigenesis and have been related to clinical outcome. Here, we evaluated the accuracy of 1q25.3 copy number detection in conjunction with allelic imbalance (AI) detection in a series of primary breast tumours. We compared previously obtained AI results from the 1q25.3 region in a series of 222 primary breast tumours with newly obtained MLPA and FISH results. To this end, a novel 1q25.3 MLPA probe set was designed and a commercially available 1q25.3/1p35.2 dual color FISH probe set was used. MLPA revealed 1q25.3 copy number gains and copy number losses in subsets of the tumour samples tested. Next, tumour samples were examined by FISH and scored for the level of 1q25.3 alterations. Non-tumourigenic nuclei from healthy individuals were used to establish cut-off levels for 1q25.3 copy numbers. By doing so, we found a 100 % concordance between the FISH results in breast tumour samples displaying similar 1q25.3 copy number alterations as determined by MLPA and, previously, AI. Furthermore, FISH was found to be instrumental in determining 1q25.3 copy number alterations in samples exhibiting discordances between AI and MLPA. This study shows that both AI and MLPA assays can be employed to map regions exhibiting copy number alterations in cancer genomes, and that the results obtained are in concordance with FISH assays.