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Genomic aberrations can be used to subtype breast cancer. In this study, we investigated DNA copy number (CN) profiles of 69 cases of male breast cancer (MBC) by array comparative genomic hybridization (aCGH) to detect recurrent gains and losses in comparison with female breast cancers (FBC). Further, we classified these profiles as BRCA1-like, BRCA2-like or non-BRCA-like profiles using previous classifiers derived from FBC, and correlated these profiles with pathological characteristics. We observed large CN gains on chromosome arms 1q, 5p, 8q, 10p, 16p, 17q, and chromosomes 20 and X. Large losses were seen on chromosomes/chromosome arms 1p, 6p, 8p, 9, 11q, 13, 14q, 16q, 17p, and 22. The pattern of gains and losses in estrogen receptor positive (ER+) MBC was largely similar to ER+ FBC, except for gains on chromosome X in MBC, which were uncommon in FBC. Out of 69 MBC patients, 15 patients (22%) had a BRCA2-like profile, of which 2 (3%) were also BRCA1-like. One patient (1%) was only BRCA1-like; the remaining 53 (77%) patients were classified as non-BRCA-like. BRCA2-like cases were more often p53 accumulated than non-BRCA-like cases (P = 0.014). In conclusion, the pattern of gains and losses in ER+ MBC was largely similar to that of its ER+ FBC counterpart, except for gains on chromosome X in MBC, which are uncommon in FBC. A significant proportion of MBC has a BRCA2-like aCGH profile, pointing to a potentially hereditary nature, and indicating that they could benefit from a drug regimen targeting BRCA defects as in FBC.

Triple negative (TN) breast cancers make up some 15% of all breast cancers. Approximately 10–15% are mutant for the tumor suppressor, BRCA1. BRCA1 is required for homologous recombination‐mediated DNA repair and deficiency results in genomic instability. BRCA1‐mutated tumors have a specific pattern of genomic copy number aberrations that can be used to classify tumors as BRCA1‐like or non‐BRCA1‐like. BRCA1 mutation, promoter methylation, BRCA1‐like status and genome‐wide expression data was determined for 112 TN breast cancer samples with long‐term follow‐up. Mutation status for 21 known DNA repair genes and PIK3CA was assessed. Gene expression and mutation frequency in BRCA1‐like and non‐BRCA1‐like tumors were compared. Multivariate survival analysis was performed using the Cox proportional hazards model. BRCA1 germline mutation was identified in 10% of patients and 15% of tumors were BRCA1 promoter methylated. Fifty‐five percent of tumors classified as BRCA1‐like. The functions of genes significantly up‐regulated in BRCA1‐like tumors included cell cycle and DNA recombination and repair. TP53 was found to be frequently mutated in BRCA1‐like (P, Highlights Triple negative breast cancers subdivide into 2 groups: BRCA1‐like, non‐BRCA1‐like.In a retrospective analysis, patients with BRCA1‐like tumors have a worse outcome.Mutation and gene expression patterns reveal potential therapy targets in subgroups.

Chromosomal translocations are a hallmark of cancer. Unraveling the molecular mechanism of these rare genetic events requires a clear distinction between correlative and causative risk-determinants, where technical and analytical issues can be excluded. To meet this goal, we performed in-depth analyses of publicly available genome-wide datasets. In contrast to several recent reports, we demonstrate that chromosomal translocation risk is causally unrelated to promoter stalling (Spt5), transcriptional activity, or off-targeting activity of the activation-induced cytidine deaminase. Rather, an open chromatin configuration, which is not promoter-specific, explained the elevated translocation risk of promoter regions. Furthermore, the fact that gene size directly correlates with the translocation risk in mice and human cancers further demonstrated the general irrelevance of promoter-specific activities. Interestingly, a subset of translocations observed in cancer patients likely initiates from double-strand breaks induced by an access-independent process. Together, these unexpected and novel insights are fundamental in understanding the origin of chromosome translocations and, consequently, cancer.

SummaryChromatin is important for the regulation of transcription and other functions, yet the diversity of chromatin composition and the distribution along chromosomes are still poorly characterized. By integrative analysis of genome-wide binding maps of 53 broadly selected chromatin components in Drosophila cells, we show that the genome is segmented into five principal chromatin types that are defined by unique yet overlapping combinations of proteins and form domains that can extend over > 100 kb. We identify a repressive chromatin type that covers about half of the genome and lacks classic heterochromatin markers. Furthermore, transcriptionally active euchromatin consists of two types that differ in molecular organization and H3K36 methylation and regulate distinct classes of genes. Finally, we provide evidence that the different chromatin types help to target DNA-binding factors to specific genomic regions. These results provide a global view of chromatin diversity and domain organization in a metazoan cell.

In the absence of mitogenic stimuli, cells normally arrest in G(1/0), because they fail to pass the G1-restriction point. However, abrogation of the G1-restriction point (by loss of the retinoblastoma gene family) reveals a second-restriction point that arrests cells in G2. Serum-starvation-induced G2 arrest is effectuated through inhibitory interactions of p27(KIP1) and p21(CIP1) with cyclins A and B1 and can be reversed through mitogen re-addition. In this study, we have investigated the pathways that allow cell cycle re-entry from this G2 arrest. We provide evidence that recovery from G2 arrest depends on the rat sarcoma viral oncogene (RAS) and phosphatidylinositol-3 kinase pathways and show that oncogenic hits, such as overexpression of c-MYC or mutational activation of RAS can abrogate the G2-restriction point. Together, our results provide new mechanistic insight into multistep carcinogenesis.

T cells, as well as other cell types, are composed of phenotypically and functionally distinct subsets. However, for many of these populations it is unclear whether they develop from common or separate progenitors. To address such issues, we developed a novel approach, termed cellular barcoding, that allows the dissection of lineage relationships. We demonstrate that the labeling of cells with unique identifiers coupled to a microarray-based detection system can be used to analyze family relationships between the progeny of such cells. To exemplify the potential of this technique, we studied migration patterns of families of antigen-specific CD8+ T cells in vivo. We demonstrate that progeny of individual T cells rapidly seed independent lymph nodes and that antigen-specific CD8+ T cells present at different effector sites are largely derived from a common pool of precursors. These data show how locally primed T cells disperse and provide a technology for kinship analysis with wider utility.

Breast cancers with BRCA1 germline mutation have a characteristic DNA copy number (CN) pattern. We developed a test that assigns CN profiles to be ‘BRCA1‐like’ or ‘non‐BRCA1‐like’, which refers to resembling a BRCA1‐mutated tumor or resembling a tumor without a BRCA1 mutation, respectively. Approximately one third of the BRCA1‐like breast cancers have a BRCA1 mutation, one third has hypermethylation of the BRCA1 promoter and one third has an unknown reason for being BRCA1‐like. This classification is indicative of patients' response to high dose alkylating and platinum containing chemotherapy regimens, which targets the inability of BRCA1 deficient cells to repair DNA double strand breaks. We investigated whether this classification can be reliably obtained with next generation sequencing and copy number platforms other than the bacterial artificial chromosome (BAC) array Comparative Genomic Hybridization (aCGH) on which it was originally developed. We investigated samples from 230 breast cancer patients for which a CN profile had been generated on two to five platforms, comprising low coverage CN sequencing, CN extraction from targeted sequencing panels (CopywriteR), Affymetrix SNP6.0, 135K/720K oligonucleotide aCGH, Affymetrix Oncoscan FFPE (MIP) technology, 3K BAC and 32K BAC aCGH. Pairwise comparison of genomic position‐mapped profiles from the original aCGH platform and other platforms revealed concordance. For most cases, biological differences between samples exceeded the differences between platforms within one sample. We observed the same classification across different platforms in over 80% of the patients and kappa values of at least 0.36. Differential classification could be attributed to CN profiles that were not strongly associated to one class. In conclusion, we have shown that the genomic regions that define our BRCA1‐like classifier are robustly measured by different CN profiling technologies, providing the possibility to retro‐ and prospectively investigate BRCA1‐like classification across a wide range of CN platforms., Highlights We investigated concordance of BRCA1‐like classification of copy number profiles across technologies.We included array‐based and (targeted) next generation sequencing profiling techniques.BRCA1‐like classification was highly concordant across techniques and datasets.10% misclassification can be attributed to poorer quality, weak class association and experimental variation.We concluded that BRCA1‐like classification of breast cancer is robust across techniques and datasets.

The gene encoding Ran-binding protein 1 (RanBP1) is transcribed in a cell cycle-dependent manner. The RanBP1 promoter contains two binding sites for E2F factors, named E2F-c, located proximal to the transcription start, and E2F-b, falling in a more distal promoter region, We have now induced site-directed mutagenesis in both sites. We have found that the distal E2F-b site, together with a neighboring Spl element, actively controls up-regulation of transcription in S phase. The proximal E2F-c site plays no apparent role in cycling cells yet is required for transcriptional repression upon growth arrest. Protein binding studies suggest that each E2F site mediates specific interactions with individual E2F family members. In addition, transient expression assays with mutagenized promoter constructs indicate that the functional role of each site is also dependent on its position relative to other regulatory elements in the promoter context. Thus, the two E2F sites play opposite genetic functions and control RanBP1 transcription through distinct molecular mechanisms.

The transfer of T cell receptor (TCR) genes into patient T cells is a promising approach for the treatment of both viral infections and cancer. Although efficient methods exist to identify antibodies for the treatment of these diseases, comparable strategies to identify TCRs have been lacking. We have developed a high-throughput DNA-based strategy to identify TCR sequences by the capture and sequencing of genomic DNA fragments encoding the TCR genes. We establish the value of this approach by assembling a large library of cancer germline tumor antigen-reactive TCRs. Furthermore, by exploiting the quantitative nature of TCR gene capture, we show the feasibility of identifying antigen-specific TCRs in oligoclonal T cell populations from either human material or TCR-humanized mice. Finally, we demonstrate the ability to identify tumor-reactive TCRs within intratumoral T cell subsets without knowledge of antigen specificities, which may be the first step toward the development of autologous TCR gene therapy to target patient-specific neoantigens in human cancer.

Viruses and Congenital Disorders Mutations in genes involved in α-dystroglycan O-linked glycosylation result in posttranslation modifications associated with the congenital disease Walker-Warburg syndrome (WWS). This cellular modification is also required for efficient Lassa virus infection of cells. Jae et al. (p. 479 , published online 21 March) screened for genes involved in O-glycosylation that affected Lassa virus infection and identified candidates involved in glycosylation. Individuals from different pedigrees exhibiting WWS had unique mutations among genes identified in the genetic screen. Thus, comprehensive forward genetic screens can be used to define the genetic architecture of a complex disease.

In a number of studies evaluating checkpoint blockade efficacy in cancer treatment, high mutational load of the tumor has been shown to correlate with clinical response, consistent with the notion that T-cell recognition of mutation derived (neo)-antigens plays a sizable role in immune based tumor eradication. Mutational load varies widely between and within malignancies, and is now frequently used as a proxy for the foreignness of cancers. However, in the absence of any well-defined reference points, it is difficult to understand which human tumors can be considered substantially foreign on the basis of the neo-antigens they carry. Here we aim to benchmark the foreign antigen space of human cancers against a series of pathogen genomes for which T cell control has been documented. For this purpose, we developed a neo-antigen prediction pipeline that processes single nucleotide variants, indels and structural variants and filters candidate neo-peptides based on i). probability of successful proteasomal processing, ii). HLA-affinity, iii). RNA expression and iv). dissimilarity from self proteins. Having gathered a set of experimentally identified HIV-derived peptides, we determined the precision of our pipeline to be ∼40% for the HLA*A0201 allele of MHC-I, a substantially higher precision than achieved using prior methodologies. Using this strategy, we aim to answer three classes of questions. First, how do the foreign antigen spaces of different tumors and tumor subtypes compare to the predicted neo-antigen load of human pathogens which are known to be sufficiently foreign to be controlled by T-cells? Second, is the foreignness of virus-induced cancers, such as EBV-positive lymphomas and HPV+ head and neck carcinomas and cervical cancer primarily determined by viral proteins or by DNA damage derived antigens? Third, what are the total neo-antigen yields and yield rates of different types of DNA damage? In this, we contrast variants by transcript effects (e.g. single nucleotide variants vs. indels), their predicted role in oncogenesis (i.e. driver vs. passenger variants) or their likelihood of having been generated by any of the mutational processes operative in the tumor in question. Results of these and other analyses will be presented. Citation Format: Maarten Slagter, Lorenzo Fanchi, Marit M. van Buuren, Jorg J A Calis, Philip Schouten, Sabine Linn, Marlous Hoogstraat, Arno Velds, Hendrik Veelken, Ron M. Kerkhoven, Andrew Menzies, Ludmil B. Alexandrov, Michael Stratton, Lodewyk Wessels, Ton N. Schumacher. Benchmarking the foreign antigen space of human malignancies [abstract]. In: Proceedings of the Second CRI-CIMT-EATI-AACR International Cancer Immunotherapy Conference: Translating Science into Survival; 2016 Sept 25-28; New York, NY. Philadelphia (PA): AACR; Cancer Immunol Res 2016;4(11 Suppl):Abstract nr A009.

Polycomb group (PcG) proteins bind and regulate hundreds of genes. Previous evidence has suggested that long-range chromatin interactions may contribute to the regulation of PcG target genes. Here, we adapted the Chromosome Conformation Capture on Chip (4C) assay to systematically map chromosomal interactions in Drosophila melanogaster larval brain tissue. Our results demonstrate that PcG target genes interact extensively with each other in nuclear space. These interactions are highly specific for PcG target genes, because non-target genes with either low or high expression show distinct interactions. Notably, interactions are mostly limited to genes on the same chromosome arm, and we demonstrate that a topological rather than a sequence-based mechanism is responsible for this constraint. Our results demonstrate that many interactions among PcG target genes exist and that these interactions are guided by overall chromosome architecture., Author Summary The folding of chromosomes inside the cell nucleus is a fascinating yet poorly understood topological problem. It is thought that certain genomic loci that are distant in the linear genome may come together in nuclear space by folding of the chromosome fiber. Previously, such a long-range interaction was found in Drosophila for two genomic loci that are known to be bound by the Polycomb Repressive Complex. Because hundreds of genes are known to be bound by Polycomb proteins, we asked whether such long-range contacts are more common. To address this, we optimized the Chromosome Conformation Capture on Chip (4C) technology for use in small tissue samples. Using this technique in dissected larval brains, we found that indeed Polycomb target genes interact frequently with each other, even when they are separated by megabases of sequence. However, these long-range interactions occur almost exclusively on the same chromosome arm. By using a rearranged chromosome in which segments are swapped between two arms, we demonstrate that not DNA sequence but chromosome architecture imposes this restriction. Taken together, our data demonstrate that Polycomb target genes extensively interact in nuclear space, but only when they are located on the same chromosome arm.

Specific interactions of the genome with the nuclear lamina (NL) are thought to assist chromosome folding inside the nucleus and to contribute to the regulation of gene expression. High-resolution mapping has recently identified hundreds of large, sharply defined lamina-associated domains (LADs) in the human genome, and suggested that the insulator protein CTCF may help to demarcate these domains. Here, we report the detailed structure of LADs in Drosophila cells, and investigate the putative roles of five insulator proteins in LAD organization. We found that the Drosophila genome is also organized in discrete LADs, which are about five times smaller than human LADs but contain on average a similar number of genes. Systematic comparison to new and published insulator binding maps shows that only SU(HW) binds preferentially at LAD borders and at specific positions inside LADs, while GAF, CTCF, BEAF-32 and DWG are mostly absent from these regions. By knockdown and overexpression studies we demonstrate that SU(HW) weakens genome – NL interactions through a local antagonistic effect, but we did not obtain evidence that it is essential for border formation. Our results provide insights into the evolution of LAD organization and identify SU(HW) as a fine-tuner of genome – NL interactions.

Background Genomic gains and losses are a result of genomic instability in many types of cancers. BRCA1- and BRCA2-mutated breast cancers are associated with increased amounts of chromosomal aberrations, presumably due their functions in genome repair. Some of these genomic aberrations may harbor genes whose absence or overexpression may give rise to cellular growth advantage. So far, it has not been easy to identify the driver genes underlying gains and losses. A powerful approach to identify these driver genes could be a cross-species comparison of array comparative genomic hybridization (aCGH) data from cognate mouse and human tumors. Orthologous regions of mouse and human tumors that are commonly gained or lost might represent essential genomic regions selected for gain or loss during tumor development. Methods To identify genomic regions that are associated with BRCA1- and BRCA2-mutated breast cancers we compared aCGH data from 130 mouse Brca1 Δ/Δ ;p53 Δ/Δ , Brca2 Δ/Δ ;p53 Δ/Δ and p53 Δ/Δ mammary tumor groups with 103 human BRCA1-mutated, BRCA2-mutated and non-hereditary breast cancers. Results Our genome-wide cross-species analysis yielded a complete collection of loci and genes that are commonly gained or lost in mouse and human breast cancer. Principal common CNAs were the well known MYC-associated gain and RB1/INTS6-associated loss that occurred in all mouse and human tumor groups, and the AURKA-associated gain occurred in BRCA2-related tumors from both species. However, there were also important differences between tumor profiles of both species, such as the prominent gain on chromosome 10 in mouse Brca2 Δ/Δ ;p53 Δ/Δ tumors and the PIK3CA associated 3q gain in human BRCA1-mutated tumors, which occurred in tumors from one species but not in tumors from the other species. This disparity in recurrent aberrations in mouse and human tumors might be due to differences in tumor cell type or genomic organization between both species. Conclusions The selection of the oncogenome during mouse and human breast tumor development is markedly different, apart from the MYC gain and RB1-associated loss. These differences should be kept in mind when using mouse models for preclinical studies.

The three-dimensional organization of chromosomes within the nucleus and its dynamics during differentiation are largely unknown. To visualize this process in molecular detail, we generated high-resolution maps of genome-nuclear lamina interactions during subsequent differentiation of mouse embryonic stem cells via lineage-committed neural precursor cells into terminally differentiated astrocytes. This reveals that a basal chromosome architecture present in embryonic stem cells is cumulatively altered at hundreds of sites during lineage commitment and subsequent terminal differentiation. This remodeling involves both individual transcription units and multigene regions and affects many genes that determine cellular identity. Often, genes that move away from the lamina are concomitantly activated; many others, however, remain inactive yet become unlocked for activation in a next differentiation step. These results suggest that lamina-genome interactions are widely involved in the control of gene expression programs during lineage commitment and terminal differentiation.

The Aicda locus encodes the activation induced cytidine deaminase (AID) and is highly expressed in germinal center (GC) B cells to initiate somatic hypermutation (SHM) and class switch recombination (CSR) of immunoglobulin (Ig) genes. Besides these Ig specific activities in B cells, AID has been implicated in active DNA demethylation in non-B cell systems. We here determined a potential role of AID as an epigenetic eraser and transcriptional regulator in B cells. RNA-Seq on different B cell subsets revealed that Aicda(-/-) B cells are developmentally affected. However as shown by RNA-Seq, MethylCap-Seq, and SNP analysis these transcriptome alterations may not relate to AID, but alternatively to a CBA mouse strain derived region around the targeted Aicda locus. These unexpected confounding parameters provide alternative, AID-independent interpretations on genotype-phenotype correlations previously reported in numerous studies on AID using the Aicda(-/-) mouse strain.

E2F transcription factors are key regulators of transcription during the cell cycle. E2F activity is regulated at the level of transcription and DNA binding and by complex formation with the retinoblastoma pocket protein family. We show here that free E2F-1 and E2F-4 transcription factors are unstable and that their degradation is mediated by the ubiquitin-proteasome pathway. Both E2F-1 and E2F-4 are rendered unstable by an epitope in the carboxyl terminus of the proteins, in close proximity to their pocket protein interaction surface. We show that binding of E2F-1 to pRb or E2F-4 to p107 or p130 protects E2Fs from degradation, causing the complexes to be stable. The increased stability of E2F-4 pocket protein complexes may contribute to the maintenance of active transcriptional repression in quiescent cells. Surprisingly, adenovirus transforming proteins, which release pocket protein-E2F complexes, also inhibit breakdown of free E2F. These data reveal an additional level of regulation of E2F transcription factors by targeted proteolysis, which is inhibited by pocket protein binding and adenovirus early region 1 transforming proteins.

The orderly progression through the cell cycle is mediated by the sequential activation of several cyclin/cyclin-dependent kinase (cdk) complexes. These kinases phosphorylate a number of cellular substrates, among which is the product of the retinoblastoma gene, pRb. Phosphorylation of pRb in late G1 causes the release of the transcription factor E2F from pRb, resulting in the transcriptional activation of E2F-responsive genes. We show here that phosphorylation of the pRb-related p107 is also cell cycle regulated. p107 is first phosphorylated at 8 hr following serum stimulation of quiescent fibroblasts, which coincides with an increase in cyclin D1 protein levels. Consistent with this, we show that a cyclin D1/cdk4 complex, but not a cyclin E/cdk2 complex, can phosphorylate p107 in vivo. Furthermore, phosphorylation of p107 can be abolished by the overexpression of a dominant-negative form of cdk4. Phosphorylation of p107 results in the loss of the ability to associate with E2F-4, a transcription factor with growth-promoting and oncogenic activity. A p107-induced cell cycle block can be released by cyclin D1/cdk4 but not by cyclin E/cdk2. These data indicate that the activity of p107 is regulated by phosphorylation through D-type cyclins.

Background Position-effect variegation (PEV) is the stochastic transcriptional silencing of a gene positioned adjacent to heterochromatin. white-mottled X-chromosomal inversions in Drosophila are classic PEV models that show variegation of the eye color gene white due to its relocation next to pericentric heterochromatin. It has been suggested that in these models the spreading of heterochromatin across the rearrangement breakpoint causes the silencing of white. However, the extent of this spreading and the precise pattern of heterochromatin redistribution have remained unclear. To obtain insight into the mechanism of PEV, we constructed high-resolution binding maps of Heterochromatin Protein 1 (HP1) on white-mottled chromosomes. Results We find that HP1 invades euchromatin across the inversion breakpoints over ~175 kb and ~30 kb, causing de novo association of HP1 with 20 genes. However, HP1 binding levels in these regions show substantial local variation, and white is the most strongly bound gene. Remarkably, white is also the only gene that is detectably repressed by heterochromatin. Furthermore, we find that HP1 binding to the invaded region is particularly sensitive to the dosage of the histone methyltransferase Su(var)3-9, indicating that the de novo formed heterochromatin is less stable than naturally occurring constitutive heterochromatin. Conclusion Our molecular maps demonstrate that heterochromatin can invade a normally euchromatic region, yet the strength of HP1 binding and effects on gene expression are highly dependent on local context. Our data suggest that the white gene has an unusual intrinsic affinity for heterochromatin, which may cause this gene to be more sensitive to PEV than most other genes.

Background Lysophosphatidic acid (LPA) is a lipid mediator that acts through specific G protein-coupled receptors to stimulate the proliferation, migration and survival of many cell types. LPA signaling has been implicated in development, wound healing and cancer. While LPA signaling pathways have been studied extensively, it remains unknown how LPA affects global gene expression in its target cells. Results We have examined the temporal program of global gene expression in quiescent mouse embryonic fibroblasts stimulated with LPA using 32 k oligonucleotide microarrays. In addition to genes involved in growth stimulation and cytoskeletal reorganization, LPA induced many genes that encode secreted factors, including chemokines, growth factors, cytokines, pro-angiogenic and pro-fibrotic factors, components of the plasminogen activator system and metalloproteases. Strikingly, epidermal growth factor induced a broadly overlapping expression pattern, but some 7% of the genes (105 out of 1508 transcripts) showed differential regulation by LPA. The subset of LPA-specific genes was enriched for those associated with cytoskeletal remodeling, in keeping with LPA's ability to regulate cell shape and motility. Conclusion This study highlights the importance of LPA in programming fibroblasts not only to proliferate and migrate but also to produce many paracrine mediators of tissue remodeling, angiogenesis, inflammation and tumor progression. Furthermore, our results show that G protein-coupled receptors and receptor tyrosine kinases can signal independently to regulate broadly overlapping sets of genes in the same cell type.

Eberwine(-like) amplification of mRNA adds distinct 6-10 bp nucleotide stretches to the 5' end of amplified RNA transcripts. Analysis of over six thousand microarrays reveals that probes containing motifs complementary to these stretches are associated with aberrantly high signals up to a hundred fold the signal observed in unaffected probes. This is not observed when total RNA is used as target source. Different T7 primer sequences are used in different laboratories and platforms and consequently different T7 primer bias is observed in different datasets. This will hamper efforts to compare data sets across platforms.