Taku Tokuyasu

High mobility group box 1 (HMGB1) is a 25-kDa chromatin-associated protein that aids in transcription and DNA repair by directly binding to DNA and altering its conformation. Additionally, HMGB1 can act as an extracellular ligand. When released from dying or stressed cells, HMGB1 binds to the RAGE receptor and activates the p42/44 MAP kinase (MAPK) cascade. HMGB1 is overexpressed in many types of cancer and frequently associated with tumor stage and metastasis. This has predominantly been attributed to an autocrine function that drives MAPK pathway activity. However, by using tumor cells with activating MAPK pathway mutations, we have identified a role for HMGB1 in promoting metastasis and tumor growth that is independent of this pathway. In the absence of HMGB1, these tumor cells show defective in vitro migration as well as reduced metastasis and tumor growth in vivo despite high p42/44 phosphorylation. We found that semaphorin 3A (SEMA3A), previously shown to act as a suppressor of angiogenesis and migration, was highly increased during expression in the absence of HMGB1. SEMA3A/HMGB1 double knockdown rescued the migration defect in HMGB1 single knockdown cells. HMGB1 bound at the semaphorin 3A genomic locus, promoted hetrochromatin formation, and decreased occupancy of acetylated histones. Based on human tumor gene expression databases, HMGB1 was significantly inversely correlated with SEMA3A, suggesting that this mechanism may be more widely relevant in different cancer types.

Purpose: Problems in management of oral cancers or precancers include identification of patients at risk for metastasis, tumor recurrence, and second primary tumors or risk for progression of precancers (dysplasia) to cancer. Thus, the objective of this study was to clarify the role of genomic aberrations in oral cancer progression and metastasis. Experimental Design: The spectrum of copy number alterations in oral dysplasia and squamous cell carcinomas (SCC) was determined by array comparative genomic hybridization. Associations with clinical characteristics were studied and results confirmed in an independent cohort. Results: The presence of one or more of the chromosomal aberrations +3q24-qter, -8pter-p23.1, +8q12-q24.2, and +20 distinguishes a major subgroup (70%–80% of lesions, termed 3q8pq20 subtype) from the remainder (20%–30% of lesions, non-3q8pq20). The 3q8pq20 subtype is associated with chromosomal instability and differential methylation in the most chromosomally unstable tumors. The two subtypes differ significantly in clinical outcome with risk for cervical (neck) lymph node metastasis almost exclusively associated with the 3q8pq20 subtype in two independent oral SCC cohorts. Conclusions: Two subtypes of oral lesions indicative of at least two pathways for oral cancer development were distinguished that differ in chromosomal instability and risk for metastasis, suggesting that +3q,–8p, +8q, and +20 constitute a biomarker with clinical utility for identifying patients at risk for metastasis. Moreover, although increased numbers of genomic alterations can be harbingers of progression to cancer, dysplastic lesions lacking copy number changes cannot be considered benign as they are potential precursors to non-3q8pq20 locally invasive, yet not metastatic oral SCC. Clin Cancer Res; 17(22); 7024–34. ©2011 AACR.

Summary: Exploratory Gene Association Networks (EGAN) is a Java desktop application that provides a point-and-click environment for contextual graph visualization of high-throughput assay results. By loading the entire network of genes, pathways, interactions, annotation terms and literature references directly into memory, EGAN allows a biologist to repeatedly query and interpret multiple experimental results without incurring additional delays for data download/integration. Other compelling features of EGAN include: support for diverse -omics technologies, a simple and interactive graph display, sortable/searchable data tables, links to external web resources including ≥240 000 articles at PubMed, hypergeometric and GSEA-like enrichment statistics, pipeline-compatible automation via scripting and the ability to completely customize and/or supplement the network with new/proprietary data. Availability: Runs on most operating systems via Java; downloadable from http://akt.ucsf.edu/EGAN/ Contact:jesse.paquette@cc.ucsf.edu Supplementary information: Supplementary data are available at Bioinformatics online.

Tumors vary widely in chromosomal level genome instability. To gain a better understanding of the underlying defects which foster specific types of aberrations, we investigated the response of cells of related genetic backgrounds to challenge with methotrexate. We studied mismatch repair deficient HCT116 cells, two derivatives also deficient in XRCC5 (HCT116 Ku86+/−) or BLM (HCT116 BLM−/−), and mismatch repair competent HCT116+chr3 cells. We show that colony formation occurred at a significantly higher frequency in HCT116 cells and HCT116 Ku86+/− cells compared to HCT116 BLM−/− and HCT116+chr3 cells. Visible colonies arose most rapidly in HCT116 Ku86+/− cells, whereas they formed most slowly in HCT116+chr3 cells. Copy number changes acquired by the methotrexate resistant HCT116 and HCT116 BLM−/− cells most often included whole chromosome gains or losses or no acquired copy number changes, whereas resistance in HCT116+chr3 and HCT116 Ku86+/− cells was associated with amplification of DHFR and copy number transitions leading to increased copy number of DHFR, respectively. The additional copies of DHFR were present on unstable chromosomes and organized as inverted repeats in HCT116+chr3 cells, while they were most often present as direct repeats in HCT116 Ku86+/− cells. These observations suggest that different mutational mechanisms promote drug resistance in these genetic backgrounds; mismatch repair deficiency in HCT116, high rates of chromosomal instability in HCT116 Ku86+/−, and low rates of chromosomal instability in HCT116+chr3. On the other hand, it appears that loss of BLM function suppresses the mismatch repair mutator mechanism in mismatch repair and BLM deficient HCT116 BLM−/− cells.

Background: Amplifications, regions of focal high-level copy number change, lead to overexpression of oncogenes or drug resistance genes in tumors. Their presence is often associated with poor prognosis; however, the use of amplification as a mechanism for overexpression of a particular gene in tumors varies. To investigate the influence of genome position on propensity to amplify, we integrated a mutant form of the gene encoding dihydrofolate reductase into different positions in the human genome, challenged cells with methotrexate and then studied the genomic alterations arising in drug resistant cells. Results: We observed site-specific differences in methotrexate sensitivity, amplicon organization and amplification frequency. One site was uniquely associated with a significantly enhanced propensity to amplify and recurrent amplicon boundaries, possibly implicating a rare folate-sensitive fragile site in initiating amplification. Hierarchical clustering of gene expression patterns and subsequent gene enrichment analysis revealed two clusters differing significantly in expression of MYC target genes independent of integration site. Conclusion: These studies suggest that genome context together with the particular challenges to genome stability experienced during the progression to cancer contribute to the propensity to amplify a specific oncogene or drug resistance gene, whereas the overall functional response to drug (or other) challenge may be independent of the genomic location of an oncogene.

Constitutional submicroscopic DNA copy number alterations have been shown to cause numerous medical genetic syndromes, and are suspected to occur in a portion of cases for which the causal events remain undiscovered. Array comparative genomic hybridization (array CGH) allows high‐throughput, high‐resolution genome scanning for DNA dosage aberrations and thus offers an attractive approach for both clinical diagnosis and discovery efforts. Here we assess this capability by applying array CGH to the analysis of copy number alterations in 44 patients with a phenotype of the 22q11.2 deletion syndrome. Twenty‐five patients had the deletion on chromosome 22 characteristic of this syndrome as determined by fluorescence in situ hybridization (FISH). The array measurements were in complete concordance with the FISH analysis, supporting their diagnostic utility. These data show that a genome‐scanning microarray has the level of sensitivity and specificity required to prospectively interrogate and identify single copy number aberrations in a clinical setting. We demonstrate that such technology is ideally suited for microdeletion syndromes such as 22q11.2.

Background: Genomic DNA copy number aberrations are frequent in solid tumors, although the underlying causes of chromosomal instability in tumors remain obscure. Genes likely to have genomic instability phenotypes when mutated (e.g. those involved in mitosis, replication, repair, and telomeres) are rarely mutated in chromosomally unstable sporadic tumors, even though such mutations are associated with some heritable cancer prone syndromes. Methods: We applied array comparative genomic hybridization (CGH) to the analysis of breast tumors. The variation in the levels of genomic instability amongst tumors prompted us to investigate whether alterations in processes/genes involved in maintenance and/or manipulation of the genome were associated with particular types of genomic instability. Results: We discriminated three breast tumor subtypes based on genomic DNA copy number alterations. The subtypes varied with respect to level of genomic instability. We find that shorter telomeres and altered telomere related gene expression are associated with amplification, implicating telomere attrition as a promoter of this type of aberration in breast cancer. On the other hand, the numbers of chromosomal alterations, particularly low level changes, are associated with altered expression of genes in other functional classes (mitosis, cell cycle, DNA replication and repair). Further, although loss of function instability phenotypes have been demonstrated for many of the genes in model systems, we observed enhanced expression of most genes in tumors, indicating that over expression, rather than deficiency underlies instability. Conclusion: Many of the genes associated with higher frequency of copy number aberrations are direct targets of E2F, supporting the hypothesis that deregulation of the Rb pathway is a major contributor to chromosomal instability in breast tumors. These observations are consistent with failure to find mutations in sporadic tumors in genes that have roles in maintenance or manipulation of the genome.

Array comparative genomic hybridization (cgh) is a microarray technology for measuring the relative copy number of thousands of genomic regions. Visual examination of cgh profiles shows that genomic changes occur on a variety of length scales. Such changes may be characteristic of phenotypic variables such as tumor type and gene mutational status. To aid in identifying such features and exploring their relationship with phenotypic outcomes, we are applying wavelet transforms to the analysis of such profiles. This allows us to decompose a cgh signal into components on different length scales, even when the genome is severely aberrated, providing a convenient basis for exploring their behavior. Wavelet transforms may also be useful in the realm of gene expression. The expression signal given by genes in clustered order can be wavelet transformed, which compresses the signal from many genes into a few components, possibly aiding in the development of new tumor classifiers.