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PURPOSE: The detection rate of breast ductal carcinoma in situ (DCIS) has increased significantly, raising the concern that DCIS is over-diagnosed and over-treated. Therefore, there is an unmet clinical need to better predict the risk of progression among DCIS patients. Our hypothesis is that by combining molecular signatures with clinicopathologic features, we can elucidate the biology of breast cancer progression, and risk-stratify patients with DCIS. METHODS: Targeted exon-sequencing with a custom panel of 223 genes/regions was performed for 125 DCIS cases. Among them, 60 were from cases having concurrent or subsequent invasive breast cancer (IBC) (DCIS+IBC group), and 65 from cases with no IBC development over a median follow-up of 13 years (DCIS-only group). Copy number alterations in chromosome 1q32, 8q24, 11q13 were analyzed using fluorescence in situ hybridization (FISH). Multivariable logistic regression models were fit to the outcome of DCIS progression to IBC as a function of demographic and clinical features. RESULTS: We observed recurrent variants of known IBC-related mutations, and the most commonly mutated genes in DCIS were PIK3CA (34.4%) and TP53 (18.4%). There was an inverse association between PIK3CA kinase domain mutations and progression (Odds Ratio [OR]=10.2, p

// Daniel J. Coleman 1 , Kathryn Van Hook 1 , Carly J. King 1, 2 , Jacob Schwartzman 1 , Robert Lisac 1 , Joshua Urrutia 1 , Archana Sehrawat 1 , Josha Woodward 1 , Nicholas J. Wang 1, 2 , Roman Gulati 3 , George V. Thomas 1 , Tomasz M. Beer 1 , Martin Gleave 4 , James E. Korkola 1, 2 , Lina Gao 1 , Laura M. Heiser 1, 2 , Joshi J. Alumkal 1 1 OHSU Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, U.S.A 2 Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, U.S.A 3 Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, U.S.A 4 The Vancouver Prostate Centre and Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada Correspondence to: Joshi J. Alumkal, email: alumkalj@ohsu.edu Keywords: genitourinary cancers: prostate, hormone signaling and inhibitors, regulation of gene expression in drug resistance, androgen receptor mutations, BET bromodomain inhibition Received: January 13, 2016 Accepted: May 07, 2016 Published: June 3, 2016 ABSTRACT Prostate cancer is the most commonly diagnosed and second-most lethal cancer among men in the United States. The vast majority of prostate cancer deaths are due to castration-resistant prostate cancer (CRPC) – the lethal form of the disease that has progressed despite therapies that interfere with activation of androgen receptor (AR) signaling. One emergent resistance mechanism to medical castration is synthesis of intratumoral androgens that activate the AR. This insight led to the development of the AR antagonist enzalutamide. However, resistance to enzalutamide invariably develops, and disease progression is nearly universal. One mechanism of resistance to enzalutamide is an F877L mutation in the AR ligand-binding domain that can convert enzalutamide to an agonist of AR activity. However, mechanisms that contribute to the agonist switch had not been fully clarified, and there were no therapies to block AR F877L. Using cell line models of castration-resistant prostate cancer (CRPC), we determined that cellular androgen content influences enzalutamide agonism of mutant F877L AR. Further, enzalutamide treatment of AR F877L-expressing cell lines recapitulated the effects of androgen activation of F877L AR or wild-type AR. Because the BET bromodomain inhibitor JQ-1 was previously shown to block androgen activation of wild-type AR, we tested JQ-1 in AR F877L-expressing CRPC models. We determined that JQ-1 suppressed androgen or enzalutamide activation of mutant F877L AR and suppressed growth of mutant F877L AR CRPC tumors in vivo , demonstrating a new strategy to treat tumors harboring this mutation.

Intratumoral heterogeneity in cancers arises from genomic instability and epigenomic plasticity and is associated with resistance to cytotoxic and targeted therapies. We show here that cell-state heterogeneity, defined by differentiation-state marker expression, is high in triple-negative and basal-like breast cancer subtypes, and that drug tolerant persister (DTP) cell populations with altered marker expression emerge during treatment with a wide range of pathway-targeted therapeutic compounds. We show that MEK and PI3K/mTOR inhibitor-driven DTP states arise through distinct cell-state transitions rather than by Darwinian selection of preexisting subpopulations, and that these transitions involve dynamic remodeling of open chromatin architecture. Increased activity of many chromatin modifier enzymes, including BRD4, is observed in DTP cells. Co-treatment with the PI3K/mTOR inhibitor BEZ235 and the BET inhibitor JQ1 prevents changes to the open chromatin architecture, inhibits the acquisition of a DTP state, and results in robust cell death in vitro and xenograft regression in vivo.

Traditional means for scoring the effects of anti-cancer drugs on the growth and survival of cell lines is based on relative cell number in drug-treated and control samples and is seriously confounded by unequal division rates arising from natural biological variation and differences in culture conditions. This problem can be overcome by computing drug sensitivity on a per-division basis. The normalized growth rate inhibition (GR) approach yields per-division metrics for drug potency (GR50) and efficacy (GRmax) that are analogous to the more familiar IC50 and Emax values. In this work, we report GR-based, proliferation-corrected, drug sensitivity metrics for ~4,700 pairs of breast cancer cell lines and perturbagens. Such data are broadly useful in understanding the molecular basis of therapeutic response and resistance. Here, we use them to investigate the relationship between different measures of drug sensitivity and conclude that drug potency and efficacy exhibit high variation that is only weakly correlated. To facilitate further use of these data, computed GR curves and metrics can be browsed interactively at http://www.GRbrowser.org/.

Desmoplastic melanoma is an uncommon variant of melanoma with sarcomatous histology, distinct clinical behavior and unknown pathogenesis. We performed low-coverage genome and high-coverage exome sequencing of 20 desmoplastic melanomas, followed by targeted sequencing of 293 genes in a validation cohort of 42 cases. A high mutation burden (median of 62 mutations/Mb) ranked desmoplastic melanoma among the most highly mutated cancers. Mutation patterns strongly implicate ultraviolet radiation as the dominant mutagen, indicating a superficially located cell of origin. Newly identified alterations included recurrent promoter mutations of NFKBIE, encoding NF-κB inhibitor ɛ (IκBɛ), in 14.5% of samples. Common oncogenic mutations in melanomas, in particular in BRAF (encoding p.Val600Glu) and NRAS (encoding p.Gln61Lys or p.Gln61Arg), were absent. Instead, other genetic alterations known to activate the MAPK and PI3K signaling cascades were identified in 73% of samples, affecting NF1, CBL, ERBB2, MAP2K1, MAP3K1, BRAF, EGFR, PTPN11, MET, RAC1, SOS2, NRAS and PIK3CA, some of which are candidates for targeted therapies.

Purpose: To investigate the direct effect and therapeutic consequences of epidermal growth factor receptor 2 (HER2)-targeting therapy on expression of estrogen receptor (ER) and Bcl2 in preclinical models and clinical tumor samples. Experimental design: Archived xenograft tumors from two preclinical models (UACC812 and MCF7/HER2-18) treated with ER and HER2-targeting therapies and also HER2+ clinical breast cancer specimens collected in a lapatinib neoadjuvant trial (baseline and week 2 posttreatment) were used. Expression levels of ER and Bcl2 were evaluated by immunohistochemistry and Western blot analysis. The effects of Bcl2 and ER inhibition, by ABT-737 and fulvestrant, respectively, were tested in parental versus lapatinib-resistant UACC812 cells in vitro. Results: Expression of ER and Bcl2 was significantly increased in xenograft tumors with acquired resistance to anti-HER2 therapy compared with untreated tumors in both preclinical models (UACC812: ER P = 0.0014; Bcl2 P < 0.001 and MCF7/HER2-18: ER P = 0.0007; Bcl2 P = 0.0306). In the neoadjuvant clinical study, lapatinib treatment for 2 weeks was associated with parallel upregulation of ER and Bcl2 (Spearman coefficient: 0.70; P = 0.0002). Importantly, 18% of tumors originally ER-negative (ER−) converted to ER+ upon anti-HER2 therapy. In ER−/HER2+ MCF7/HER2-18 xenografts, ER reexpression was primarily observed in tumors responding to potent combination of anti-HER2 drugs. Estrogen deprivation added to this anti-HER2 regimen significantly delayed tumor progression (P = 0.018). In the UACC812 cells, fulvestrant, but not ABT-737, was able to completely inhibit anti–HER2-resistant growth (P < 0.0001). Conclusions: HER2 inhibition can enhance or restore ER expression with parallel Bcl2 upregulation, representing an ER-dependent survival mechanism potentially leading to anti-HER2 resistance. Clin Cancer Res; 21(17); 3995–4003. ©2015 AACR.

Diffuse intrinsic pontine glioma (DIPG) is a fatal childhood cancer. We performed a chemical screen in patient-derived DIPG cultures along with RNA-seq analyses and integrated computational modeling to identify potentially effective therapeutic strategies. The multi-histone deacetylase inhibitor panobinostat demonstrated therapeutic efficacy both in vitro and in DIPG orthotopic xenograft models. Combination testing of panobinostat and the histone demethylase inhibitor GSK-J4 revealed that the two had synergistic effects. Together, these data suggest a promising therapeutic strategy for DIPG.

© 2014 The Authors. Somatic mutations in cancer are more frequent in heterochromatic and late-replicating regions of the genome. We report that regional disparities in mutation density are virtually abolished within transcriptionally silent genomic regions of cutaneous squamous cell carcinomas (cSCCs) arising in an XPC-/-background. XPC-/-cells lack global genome nucleotide excision repair (GG-NER), thus establishing differential access of DNA repair machinery within chromatin-rich regions of the genome as the primarycause for the regional disparity. Strikingly, we find that increasing levels of transcription reduce mutation prevalence on both strands of gene bodies embedded within H3K9me3-dense regions, and only to those levels observed in H3K9me3-sparse regions, also in an XPC-dependent manner. Therefore, transcription appears to reduce mutation prevalence specifically by relieving the constraints imposed by chromatin structure on DNA repair. We model this relationship among transcription, chromatin state, and DNA repair, revealing a new, personalized determinant of cancer risk.

Purpose: Resistance to anti-HER2 therapies in HER2+ breast cancer can occur through activation of alternative survival pathways or reactivation of the HER signaling network. Here we employed BT474 parental and treatment-resistant cell line models to investigate a mechanism by which HER2+ breast cancer can reactivate the HER network under potent HER2-targeted therapies.Experimental Design: Resistant derivatives to lapatinib (L), trastuzumab (T), or the combination (LR/TR/LTR) were developed independently from two independent estrogen receptor ER+/HER2+ BT474 cell lines (AZ/ATCC). Two derivatives resistant to the lapatinib-containing regimens (BT474/AZ-LR and BT474/ATCC-LTR lines) that showed HER2 reactivation at the time of resistance were subjected to massive parallel sequencing and compared with parental lines. Ectopic expression and mutant-specific siRNA interference were applied to analyze the mutation functionally. In vitro and in vivo experiments were performed to test alternative therapies for mutant HER2 inhibition.Results: Genomic analyses revealed that the HER2L755S mutation was the only common somatic mutation gained in the BT474/AZ-LR and BT474/ATCC-LTR lines. Ectopic expression of HER2L755S induced acquired lapatinib resistance in the BT474/AZ, SK-BR-3, and AU565 parental cell lines. HER2L755S-specific siRNA knockdown reversed the resistance in BT474/AZ-LR and BT474/ATCC-LTR lines. The HER1/2–irreversible inhibitors afatinib and neratinib substantially inhibited both resistant cell growth and the HER2 and downstream AKT/MAPK signaling driven by HER2L755S in vitro and in vivo.Conclusions: HER2 reactivation through acquisition of the HER2L755S mutation was identified as a mechanism of acquired resistance to lapatinib-containing HER2-targeted therapy in preclinical HER2-amplified breast cancer models, which can be overcome by irreversible HER1/2 inhibitors. Clin Cancer Res; 23(17); 5123–34. ©2017 AACR.

Background High mitotic activity is associated with the genesis and progression of many cancers. Small molecule inhibitors of mitotic apparatus proteins are now being developed and evaluated clinically as anticancer agents. With clinical trials of several of these experimental compounds underway, it is important to understand the molecular mechanisms that determine high mitotic activity, identify tumor subtypes that carry molecular aberrations that confer high mitotic activity, and to develop molecular markers that distinguish which tumors will be most responsive to mitotic apparatus inhibitors. Methods We identified a coordinately regulated mitotic apparatus network by analyzing gene expression profiles for 53 malignant and non-malignant human breast cancer cell lines and two separate primary breast tumor datasets. We defined the mitotic network activity index (MNAI) as the sum of the transcriptional levels of the 54 coordinately regulated mitotic apparatus genes. The effect of those genes on cell growth was evaluated by small interfering RNA (siRNA). Results High MNAI was enriched in basal-like breast tumors and was associated with reduced survival duration and preferential sensitivity to inhibitors of the mitotic apparatus proteins, polo-like kinase, centromere associated protein E and aurora kinase designated GSK462364, GSK923295 and GSK1070916, respectively. Co-amplification of regions of chromosomes 8q24, 10p15-p12, 12p13, and 17q24-q25 was associated with the transcriptional upregulation of this network of 54 mitotic apparatus genes, and we identify transcription factors that localize to these regions and putatively regulate mitotic activity. Knockdown of the mitotic network by siRNA identified 22 genes that might be considered as additional therapeutic targets for this clinically relevant patient subgroup. Conclusions We define a molecular signature which may guide therapeutic approaches for tumors with high mitotic network activity. Electronic supplementary material The online version of this article (doi:10.1186/s13058-016-0728-y) contains supplementary material, which is available to authorized users.

Background: The HER2 pathway can be inhibited by potent targeting agents such as lapatinib (L), trastuzumab (T), or their combination (LT), but acquired and de novo resistance still occur. Resistance to these drugs remains a major hurdle in the management of HER2+ breast cancer. Consequently, elucidation of mechanisms of acquired therapeutic resistance to HER2-directed therapies is of critical importance. Methods: To obtain clues to the mechanisms for resistance we developed a panel of HER2+ breast cancer cell lines resistant to L, T, or LT. Parental cells and resistant derivatives of the HER2+ BT474 cell line were characterized by RNA-seq. Genes that were overexpressed in resistant compared to parental cells were confirmed by RT-PCR, Western blotting, and immunohistochemistry (IHC). Cell growth and cell signaling were assessed in parental and resistant cell lines after down-regulation (by siRNA) or overexpression (via an inducible cDNA) of IRS4 in the presence or absence of treatment. The effect of IRS4 overexpression on L resistance was assessed in a BT474 xenograft model. The proteins that interact with IRS4 were identified by co-immunoprecipitation with IRS4 followed by separation of the associated proteins by SDS-PAGE and microsequencing by mass spectrometry. Results: RNA-seq analysis revealed that IRS4 was the most up-regulated gene in BT474 L or LT resistant derivatives in which HER2 signaling is effectively inhibited, but not T alone, where HER2 signaling is reactivated. Western blotting and IHC validated this result and identified membrane localization of IRS4. Knockdown of IRS4 in L- or LT-resistant cells reversed resistance and restored growth inhibition. IRS4 knockdown also inhibited downstream signaling, with a reduction in pAKT but not in pMAPK. Induction of the cell cycle regulator p27 and down-regulation of survivin were observed after IRS4 knockdown. Overexpression of IRS4 cDNA in parental BT474 and SKBR3 cells led to resistance to L/LT, increased pAkt, and decreased the apoptotic marker cleaved PARP in the presence of L or the LT combination. The BT474 xenograft model showed that IRS4 overexpression in the absence of treatment had no effect on tumor growth but it significantly reduced the inhibitory effect of lapatinib (p=0.002). A group of proteins that interact with IRS4 in BT474 L-resistant cells were identified by mass spectrometry. The roles of these proteins in IRS4-mediated resistance to lapatinb-containing regimens are under investigation. Conclusion: IRS4 overexpression is a critical factor in causing resistance to lapatinib-containing regimens in BT474 cells. Investigation of IRS4 and its signaling partners in HER2+ human tumors resistant to lapatinib will be important to determine if this mechanism is also operative in patients. Citation Format: Lanfang Qin, Maria B Hahn, Xiaoyong Fu, Martin J Shea, Mario Giuliano, Sarmistha Nanda, Xiaowei Xu, Huizhong Hu, Sung Yun Jung, Laura M Heiser, Nicholas Wang, Joe W Gray, Susan G Hilsenbeck, Chad Creighton, Chad A Shaw, Gary C Chamness, Dean P Edwards, Sabrina Herrera, Carolina Gutierrez, C Kent Osborne, Rachel Schiff. Overexpression of insulin receptor substrate 4 can mediate acquired resistance to lapatinib-containing regimens in HER2+ breast cancer cells [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P3-05-13.

SignificanceOne of the mechanisms of endocrine resistance in estrogen receptor α (ER)-positive (+) breast cancer is the cross-talk between the ER and growth factor receptor pathways leading to altered ER activity and a reprogrammed ER-dependent transcriptome. However, key mediators of this ER-dependent transcriptional reprogramming remain elusive. Here we demonstrate that forkhead box protein A1 (FOXA1) up-regulation via gene amplification or overexpression contributes to endocrine resistance and increased invasiveness phenotypes by altering the ER-dependent transcriptome. We further show that IL-8, one of the top altered FOXA1/ER effectors, plays a key role in mediating these phenotypes and is a potential target to treat ER+/FOXA1-high breast cancer. Our findings provoke a new interplay of FOXA1 in the ER transcriptional program in endocrine-resistant breast cancer.

Cancer development is presumed to be an evolutionary process that is influenced by genetic background and environment. In laboratory animals, genetics and environment are variables that can largely be held constant. In humans, it is possible to compare independent tumours that have developed in the same patient, effectively constraining genetic and environmental variation and leaving only stochastic processes. Patients affected with von Hippel–Lindau disease are at risk of developing multiple independent clear cell renal carcinomas. Here we perform whole-genome sequencing on 40 tumours from six von Hippel-Lindau patients. We confirm that the tumours are clonally independent, having distinct somatic single-nucleotide variants. Although tumours from the same patient show many differences, within-patient patterns are discernible. Single-nucleotide substitution type rates are significantly different between patients and show biases in trinucleotide mutation context. We also observe biases in chromosome copy number aberrations. These results show that genetic background and/or environment can influence the types of mutations that occur., Analysing multiple tumours from the same patient permits the study of the germline contribution to cancer. Here, the authors sequence multiple renal tumours from VHL patients and find that intra-patient tumours are clonally distinct but share some genetic features, suggesting that patient-specific factors influence tumour formation.

The realization, that the androgen receptor (AR) is essential for prostate cancer (PC) even after relapse following androgen deprivation therapy motivated the search for novel types of AR inhibitors. We proposed that targeting AR expression versus its function would work in cells having either wild type or mutant AR as well as be independent of androgen synthesis pathways. Previously, using a phenotypic screen in androgen-independent PC cells we identified a small molecule inhibitor of AR, ARTIK-52. Treatment with ARTIK-52 caused the loss of AR protein and death of AR-positive, but not AR-negative, PC cells. Here we present data that ARTIK-52 induces degradation of AR mRNA through a mechanism that we were unable to establish. However, we found that ARTIK-52 is toxic to breast cancer (BC) cells expressing AR, although they were not sensitive to AR knockdown, suggesting an AR-independent mechanism of toxicity. Using different approaches we detected that ARTIK-52 induces replication-dependent double strand DNA breaks exclusively in cancer cells of prostate and breast origin, while not causing DNA damage, or any toxicity, in normal cells, as well as in non-PC and non-BC tumor cells, independent of their proliferation status. This amazing specificity, combined with such a basic mechanism of toxicity, makes ARTIK-52 a potentially useful tool to discover novel attractive targets for the treatment of BC and PC. Thus, phenotypic screening allowed us to identify a compound, whose properties cannot be predicted based on existing knowledge and moreover, uncover a barely known link between AR and DNA damage response in PC and BC epithelial cells.

Chromosome rearrangements are large-scale structural variants that are recognized drivers of oncogenic events in cancers of all types. Cytogenetics allows for their rapid, genome-wide detection, but does not provide gene-level resolution. Massively parallel sequencing (MPS) promises DNA sequence-level characterization of the specific breakpoints involved, but is strongly influenced by bioinformatics filters that affect detection efficiency. We sought to characterize the breakpoint junctions of chromosomal translocations and inversions in the clonal derivatives of human cells exposed to ionizing radiation. Here, we describe the first successful use of DNA paired-end analysis to locate and sequence across the breakpoint junctions of a radiation-induced reciprocal translocation. The analyses employed, with varying degrees of success, several well-known bioinformatics algorithms, a task made difficult by the involvement of repetitive DNA sequences. As for underlying mechanisms, the results of Sanger sequencing suggested that the translocation in question was likely formed via microhomology-mediated non-homologous end joining (mmNHEJ). To our knowledge, this represents the first use of MPS to characterize the breakpoint junctions of a radiation-induced chromosomal translocation in human cells. Curiously, these same approaches were unsuccessful when applied to the analysis of inversions previously identified by directional genomic hybridization (dGH). We conclude that molecular cytogenetics continues to provide critical guidance for structural variant discovery, validation and in “tuning” analysis filters to enable robust breakpoint identification at the base pair level.

Metaplastic breast cancers (MBC) are aggressive, chemoresistant tumors characterized by lineage plasticity. To advance understanding of their pathogenesis and relatedness to other breast cancer subtypes, 28 MBCs were compared with common breast cancers using comparative genomic hybridization, transcriptional profiling, and reverse-phase protein arrays and by sequencing for common breast cancer mutations. MBCs showed unique DNA copy number aberrations compared with common breast cancers. PIK3CA mutations were detected in 9 of 19 MBCs (47.4%) versus 80 of 232 hormone receptor–positive cancers (34.5%; P = 0.32), 17 of 75 HER-2–positive samples (22.7%; P = 0.04), 20 of 240 basal-like cancers (8.3%; P < 0.0001), and 0 of 14 claudin-low tumors (P = 0.004). Of 7 phosphatidylinositol 3-kinase/AKT pathway phosphorylation sites, 6 were more highly phosphorylated in MBCs than in other breast tumor subtypes. The majority of MBCs displayed mRNA profiles different from those of the most common, including basal-like cancers. By transcriptional profiling, MBCs and the recently identified claudin-low breast cancer subset constitute related receptor-negative subgroups characterized by low expression of GATA3-regulated genes and of genes responsible for cell-cell adhesion with enrichment for markers linked to stem cell function and epithelial-to-mesenchymal transition (EMT). In contrast to other breast cancers, claudin-low tumors and most MBCs showed a significant similarity to a “tumorigenic” signature defined using CD44+/CD24− breast tumor–initiating stem cell–like cells. MBCs and claudin-low tumors are thus enriched in EMT and stem cell–like features, and may arise from an earlier, more chemoresistant breast epithelial precursor than basal-like or luminal cancers. PIK3CA mutations, EMT, and stem cell-like characteristics likely contribute to the poor outcomes of MBC and suggest novel therapeutic targets. [Cancer Res 2009;69(10):4116–24]

Human cancer cells typically harbour multiple chromosomal aberrations, nucleotide substitutions and epigenetic modifications that drive malignant transformation. The Cancer Genome Atlas ( TCGA) pilot project aims to assess the value of large- scale multi- dimensional analysis of these molecular characteristics in human cancer and to provide the data rapidly to the research community. Here we report the interim integrative analysis of DNA copy number, gene expression and DNA methylation aberrations in 206 glioblastomas - the most common type of primary adult brain cancer - and nucleotide sequence aberrations in 91 of the 206 glioblastomas. This analysis provides new insights into the roles of ERBB2, NF1 and TP53, uncovers frequent mutations of the phosphatidylinositol- 3- OH kinase regulatory subunit gene PIK3R1, and provides a network view of the pathways altered in the development of glioblastoma. Furthermore, integration of mutation, DNA methylation and clinical treatment data reveals a link between MGMT promoter methylation and a hypermutator phenotype consequent to mismatch repair deficiency in treated glioblastomas, an observation with potential clinical implications. Together, these findings establish the feasibility and power of TCGA, demonstrating that it can rapidly expand knowledge of the molecular basis of cancer.

Chip multi-processors have emerged as one of the most effective uses of the huge number of transistors available today and in the future, but questions remain as to the best way to leverage CMPs to accelerate single threaded applications. Previous approaches rely on significant speculation to accomplish this goal. Our proposal, NXA, is less speculative than previous proposals, relying heavily on software to guarantee thread correctness, though still allowing parallelism in the presence of ambiguous dependences. It divides a single thread of execution into multiple using the master-worker paradigm where some set of master threads execute code that spawns tasks for other, worker theads. The master threads generally consist of performance critical instructions that can prefetch data, compute critical control descisions, or compute performance critical dataflow slices. This prevents non-critical instructions from competing with critical instructions for processor resources, allowing the critical thread (and thus the workload) to complete faster. Empirical results from performance simulation show a 20% improvement in performance on a 2-way CMP machine, demonstrating that software controlled multithreading can indeed provide a benefit in the presence of hardware support.

© 2015, National Academy of Sciences. All rights reserved. Melanoma is difficult to treat once it becomes metastatic. However, the precise ancestral relationship between primary tumors and their metastases is not well understood. We performed whole-exome sequencing of primary melanomas and multiple matched metastases from eight patients to elucidate their phylogenetic relationships. In six of eight patients, we found that genetically distinct cell populations in the primary tumor metastasized in parallel to different anatomic sites, rather than sequentially from one site to the next. In five of these six patients, the metastasizing cells had themselves arisen from a common parental subpopulation in the primary, indicating that the ability to establish metastases is a late-evolving trait. Interestingly, we discovered that individual metastases were sometimes founded by multiple cell populations of the primary that were genetically distinct. Such establishment of metastases by multiple tumor subpopulations could help explain why identical resistance variants are identified in different sites after initial response to systemic therapy. One primary tumor harbored two subclones with different oncogenic mutations in CTNNB1, which were both propagated to the same metastasis, raising the possibility that activation of wingless-type mouse mammary tumor virus integration site (WNT) signaling may be involved, as has been suggested by experimental models.

© 2016 The Author(s). Background: High mitotic activity is associated with the genesis and progression of many cancers. Small molecule inhibitors of mitotic apparatus proteins are now being developed and evaluated clinically as anticancer agents. With clinical trials of several of these experimental compounds underway, it is important to understand the molecular mechanisms that determine high mitotic activity, identify tumor subtypes that carry molecular aberrations that confer high mitotic activity, and to develop molecular markers that distinguish which tumors will be most responsive to mitotic apparatus inhibitors. Methods: We identified a coordinately regulated mitotic apparatus network by analyzing gene expression profiles for 53 malignant and non-malignant human breast cancer cell lines and two separate primary breast tumor datasets. We defined the mitotic network activity index (MNAI) as the sum of the transcriptional levels of the 54 coordinately regulated mitotic apparatus genes. The effect of those genes on cell growth was evaluated by small interfering RNA (siRNA). Results: High MNAI was enriched in basal-like breast tumors and was associated with reduced survival duration and preferential sensitivity to inhibitors of the mitotic apparatus proteins, polo-like kinase, centromere associated protein E and aurora kinase designated GSK462364, GSK923295 and GSK1070916, respectively. Co-amplification of regions of chromosomes 8q24, 10p15-p12, 12p13, and 17q24-q25 was associated with the transcriptional upregulation of this network of 54 mitotic apparatus genes, and we identify transcription factors that localize to these regions and putatively regulate mitotic activity. Knockdown of the mitotic network by siRNA identified 22 genes that might be considered as additional therapeutic targets for this clinically relevant patient subgroup. Conclusions: We define a molecular signature which may guide therapeutic approaches for tumors with high mitotic network activity.

During the type-setting of the final version of the article [1] some of the additional files were swapped. The correct files are republished in this Erratum.

We report here on experimental and theoretical efforts to determine how best to combine drugs that inhibit HER2 and AKT in HER2(+) breast cancers. We accomplished this by measuring cellular and molecular responses to lapatinib and the AKT inhibitors (AKTi) GSK690693 and GSK2141795 in a panel of 22 HER2(+) breast cancer cell lines carrying wild type or mutant PIK3CA. We observed that combinations of lapatinib plus AKTi were synergistic in HER2(+)/PIK3CA(mut) cell lines but not in HER2(+)/PIK3CA(wt) cell lines. We measured changes in phospho-protein levels in 15 cell lines after treatment with lapatinib, AKTi or lapatinib + AKTi to shed light on the underlying signaling dynamics. This revealed that p-S6RP levels were less well attenuated by lapatinib in HER2(+)/PIK3CA(mut) cells compared to HER2(+)/PIK3CAwt cells and that lapatinib + AKTi reduced p-S6RP levels to those achieved in HER2(+)/PIK3CA(wt) cells with lapatinib alone. We also found that that compensatory up-regulation of p-HER3 and p-HER2 is blunted in PIK3CA(mut) cells following lapatinib + AKTi treatment. Responses of HER2(+) SKBR3 cells transfected with lentiviruses carrying control or PIK3CA(mut )sequences were similar to those observed in HER2(+)/PIK3CA(mut) cell lines but not in HER2(+)/PIK3CA(wt) cell lines. We used a nonlinear ordinary differential equation model to support the idea that PIK3CA mutations act as downstream activators of AKT that blunt lapatinib inhibition of downstream AKT signaling and that the effects of PIK3CA mutations can be countered by combining lapatinib with an AKTi. This combination does not confer substantial benefit beyond lapatinib in HER2+/PIK3CA(wt) cells.

Summary Recent studies suggest that thousands of genes may contribute to breast cancer pathophysiologies when deregulated by genomic or epigenomic events. Here, we describe a model ‘‘system’’ to appraise the functional contributions of these genes to breast cancer subsets. In general, the recurrent genomic and transcriptional characteristics of 51 breast cancer cell lines mirror those of 145 primary breast tumors, although some significant differences are documented. The cell lines that comprise the system also exhibit the substantial genomic, transcriptional, and biological heterogeneity found in primary tumors. We show, using Trastuzumab (Herceptin) monotherapy as an example, that the system can be used to identify molecular features that predict or indicate response to targeted therapies or other physiological perturbations.

Autism is a complex neurodevelopmental disorder having both genetic and epigenetic etiological elements. Isodicentric chromosome 15 (Idic15), characterized by duplications of the multi-disorder critical region of 15q11-q14, is a relatively common cytogenetic event. When the duplication involves maternally derived content, this abnormality is strongly correlated with autism disorder. However, the mechanistic links between Idic15 and autism are ill-defined. To gain insight into the potential role of these duplications, we performed a comprehensive, genomics-based characterization of an in vitro model system consisting of lymphoblast cell lines derived from individuals with both autism and Idic15. Array-based comparative genomic hybridization using commercial single nucleotide polymorphism arrays was conducted and found to be capable of sub-classifying Idic15 samples by virtue of the lengths of the duplicated chromosomal region. In further analysis, whole-genome expression profiling revealed that 112 transcripts were significantly dysregulated in samples harboring duplications. Paramount among changing genes was ubiquitin protein ligase E3A (UBE3A; 15q11-q13), which was found to be nearly 1.5-2.0-fold up-regulated in duplicated samples at both the RNA and protein levels. Other key findings from gene expression analysis included two down-regulated genes, APP and SUMO1, with well-characterized roles in the process of apoptosis. We further demonstrate in this lymphoblast model that the gene-dosage directed increases in UBE3A levels can lead to dysregulation of the process of ubiquitination in response to genotoxic insult. This study provides insight into the direct and indirect effects of copy number gains in chromosome 15 and provides a framework for the study of these effects in neuronal systems.

Maternally derived duplication of the imprinted region of chromosome 15q11-q14 leads to a complex neurobehavioral phenotype that often includes autism, cognitive deficits, and seizures. Multiple repeat elements within the region mediate a variety of rearrangements, including interstitial duplications, interstitial triplications, and supernumerary isodicentric marker chromosomes, as well as the deletions that cause Prader-Willi and Angelman syndromes. To elucidate the molecular structure of these duplication chromosomes, we designed a high-resolution array comparative genomic hybridization (array CGH) platform. The array contains 79 clones that form a gapped contig across the critical region on chromosome 15q11-q14 and 21 control clones from other autosomes and the sex chromosomes. We used this array to examine a set of 48 samples from patients with segmental aneuploidy of chromosome 15q. Using the array, we were able to determine accurately the dosage, which ranged from 1 to 6 copies, and also to detect atypical and asymmetric rearrangements. In addition, the increased resolution of the array allowed us to position two previously reported breakpoints within the contig. These results indicate that array CGH is a powerful technique to study rearrangements of proximal chromosome 15q.

We report here on experimental and theoretical efforts to determine how best to combine drugs that inhibit HER2 and AKT in HER2(+) breast cancers. We accomplished this by measuring cellular and molecular responses to lapatinib and the AKT inhibitors (AKTi) GSK690693 and GSK2141795 in a panel of 22 HER2(+) breast cancer cell lines carrying wild type or mutant PIK3CA. We observed that combinations of lapatinib plus AKTi were synergistic in HER2(+)/PIK3CA(mut) cell lines but not in HER2(+)/PIK3CA(wt) cell lines. We measured changes in phospho-protein levels in 15 cell lines after treatment with lapatinib, AKTi or lapatinib + AKTi to shed light on the underlying signaling dynamics. This revealed that p-S6RP levels were less well attenuated by lapatinib in HER2(+)/PIK3CA(mut) cells compared to HER2(+)/PIK3CAwt cells and that lapatinib + AKTi reduced p-S6RP levels to those achieved in HER2(+)/PIK3CA(wt) cells with lapatinib alone. We also found that that compensatory up-regulation of p-HER3 and p-HER2 is blunted in PIK3CA(mut) cells following lapatinib + AKTi treatment. Responses of HER2(+) SKBR3 cells transfected with lentiviruses carrying control or PIK3CA(mut )sequences were similar to those observed in HER2(+)/PIK3CA(mut) cell lines but not in HER2(+)/PIK3CA(wt) cell lines. We used a nonlinear ordinary differential equation model to support the idea that PIK3CA mutations act as downstream activators of AKT that blunt lapatinib inhibition of downstream AKT signaling and that the effects of PIK3CA mutations can be countered by combining lapatinib with an AKTi. This combination does not confer substantial benefit beyond lapatinib in HER2+/PIK3CA(wt) cells.

Abstract —Apolipoprotein E–deficient (apoE −/− ) mice have hyperlipidemia and develop spontaneous atherosclerosis in a time-dependent manner. Although macrophage-derived apoE has been shown to prevent the development of atherosclerosis in apoE −/− mice, whether it would induce regression of established atherosclerosis is unknown. To determine this, 8-week-old apoE −/− mice were transplanted with apoE +/+ bone marrow. Four weeks after transplantation, when plasma cholesterol levels had reached normal levels, a group of mice (n=12) were killed and their aortic lesions were measured and used as a baseline to judge regression. Twelve and 20 weeks after transplantation, aortic lesion areas of the mice were 9340±2184 μm 2 (mean±SEM, n=8) and 12 211±1433 μm 2 (n=9), respectively, values not significantly different from the lesion areas of the baseline mice (12 347±2487 μm 2 ; n=12, P >0.05). In contrast, apoE −/− mice reconstituted with apoE −/− bone marrow developed severe atherosclerotic lesions (453 036±29 767 μm 2 , n=7) 20 weeks after transplantation. These data suggest that macrophage-derived apoE was insufficient to induce significant regression of established atherosclerotic lesions in apoE −/− mice, although it was sufficient to eliminate hypercholesterolemia and prevent progression of aortic lesions.

Background: While treatment options for patients with castration-resistant prostate cancer (CRPC) are expanding, one American man is still predicted to die every 19 minutes from this disease this year. Moreover, more widespread use of novel and more potent AR-targeting agents has led to increased clinical frequency of virulent androgen and AR-independent CRPC subsets(Small, Huang et al. 2015). Currently, there are limited treatment options for men with CRPC who are resistant to these AR-targeting agents, clearly demonstrating an urgent need to develop more effective therapies for CRPC patients. Recent published reports demonstrate an important role for BET bromodomain chromatin reader proteins in prostate cancer models that are androgen or AR-dependent (Gao, Schwartzman et al. 2013; Wyce, Degenhardt et al. 2013; Asangani, Dommeti et al. 2014; Chan, Selth et al. 2015). However, there was limited information about the anti-tumor activity of this class of drugs in androgen-independent, enzalutamide-resistant, or AR-independent CRPC models. The studies reported herein were designed to address that deficit. Methods: We treated a panel of CRPC cell lines with dose escalation of the BET bromodomain inhibitor JQ1 and measured cell viability. To clarify molecular mechanisms that contribute to the anti-tumor effect, we treated CRPC cell lines with JQ1 and measured gene expression changes with RNA-sequencing. Finally, to determine the anti-tumor activity of JQ1 in vivo, we implanted enzalutamide resistant or AR-null CRPC xenografts in immunocompromised mice and treated them with JQ1. Results: All cell lines were sensitive to JQ1 with similar GI50 values (all < 1μM). Our analysis of RNA-seq data after JQ1 treatment identified a BET bromodomain response signature that was conserved across the population of cell lines. Further, we applied Virtual Inference of Protein-activity by Enriched Regulon (VIPER) analysis to identify novel Master Regulator transcription factors that mediate response to JQ1(Aytes, Mitrofanova et al. 2014). Finally, JQ1 treatment of enzalutamide resistant or AR-null CRPC xenografts implanted in vivo suppressed tumor growth without appreciable toxicity. Conclusions: BET bromodomain inhibition is a promising treatment strategy for distinct subsets of lethal CRPC. Our work using a broad panel of CRPC models sheds further light on pharmacodynamic markers of response and target proteins whose function is impacted by BET bromodomain inhibition. These findings may have implications for the design of BET bromodomain inhibitor clinical trials in men with CRPC and interpretation of on-target effects in those trials. Citation Format: Lina Gao, Daniel J. Coleman, Carly J. King, Jacob Schwartzman, Nicholas Wang, Amanda Esch, Joshua Urrutia, Archana Sehrawat, Laura M. Heiser, Joshi J. Alumkal. BET bromodomain inhibition is a promising treatment strategy for distinct subsets of lethal castration-resistant prostate cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 4700.

The objective of this study is to investigate the genomic and transcriptonal changes that are associated with resistance to treatment with the combination of a PI3K-inhibitor (NVP-BKM120) and a PARP-inhibitor (Olaparib). Previous studies have shown that the combination of a PI3K-inhibitor and a PARP-inhibitor synergistically reduced the growth of BRCA-related xenograft tumors derived from patients with TNBC. However, in clinical practice, primary and secondary resistance to this combination is observed. We hypothesize that acquired resistance is the result of a genomic evolution resulting from the selection pressure exerted by the drug treatment. We used a genetically engineered mouse model, K14-Cre BRCA1f/fp53f/f, where primary tumors had been propagated in Cre-negative littermates and treated to point of resistance with NVP-BKM120 or NVP-BKM120 plus Olaparib. For each of the three tumors, we analyzed exome sequencing and RNA-seq using Illumina technology at the stage of sensitivity (C), resistance to PI3K-inhibition (B) and resistance to the combination (BO); i.e. for each individual tumor a parental clone and its drug-resistant subclones, obtained in vivo, were analyzed. We used the Mutect software tool to call somatic mutations, VarScan2 to call somatic copy number variations, Cuffdiff for differential expression analysis, and TophatFusion. Data were integrated to identify genes for functional analyses using MetaCore and MSigDB software tools. We found that tumors resistant to the combination drug treatment in general had fewer gross genomic alterations (CNVs) than parental tumors, indicative of evolution of a less variable subclone. However, these tumors also displayed a higher number of non-synonymous mutations than their parental clone. Pathway analysis showed that somatically mutated genes in PI3K-inhibitor resistant tumors were highly enriched for antigen processing and presentation, while those of tumors resistant to the combination treatment were enriched for histone modification pathways. Notably, the tumors resistant to PI3K-inhibitor alone were enriched for Insulin-processing pathways. Genomic losses in PI3K-inhibitor treated tumors enriched for the estrogen receptor pathway (ESR) in breast cancer and DNA damage pathways. In conclusion, our experimental design of analyzing isogenic tumors resistant to PI3K- or combined PI3K- and Parp-inhibitors enabled us to identify genomic alterations and pathways that explain the evolution to drug resistance. Citation Format: Sheida Nabavi, Ashish Juvekar, Nicholas Wang, Lewis C. Cantley, Gerburg M. Wulf. Analysis of resistance to the combination of a PI3K- and Parp-inhibitor using a genomic sequencing approach. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 159.

e16538Background: One emergent resistance mechanism to medical castration is intratumoral androgen synthesis that activates the androgen receptor (AR). This insight led to the development of the AR...

The use of small-molecule kinase inhibitors is a promising therapeutic strategy for the management of breast cancer. Positive responses to these agents, however, are often transient, and acquired resistance arises in the course of weeks to months. Recent studies have demonstrated that phenotypic plasticity in cancer cell populations can provide adaptive resistance to small-molecule kinase inhibitors, whereby cancer cells transition to drug-tolerant phenotypic states, reliant on compensatory survival and proliferative signaling pathways. Drug combinations and sequences can prevent this adaptive resistance to targeted therapy, however, nominating effective drug pairs is challenging. In this study, we seek to identify such drug combinations through first identifying single agent therapeutics that reduce phenotypic heterogeneity and enrich distinct cell-states with common pathway reliance. To do so, we focus on phenotypic heterogeneity in tumor-cell lineage-state; using immunofluorescent staining against markers of the luminal, basal, and mesenchymal lineages, we combine high-throughput drug screening with high-content imaging and pursue small-molecule inhibitors that reduce phenotypic heterogeneity and promote the accumulation of particular lineage-states in residual cell populations. We observe pronounced lineage-state heterogeneity in Triple-Negative tumors and Basal-Like breast cancer cell lines, and find that the lineage-state distributions are greatly influenced by numerous therapeutics. MEK and PI3K/mTOR inhibitors in particular induce robust time- and dose-dependent alterations is lineage-state distribution in residual cell populations, selecting for a cell population enriched in, or depleted of a basal lineage-state, respectively. Through gene expression profiling and master-regulator analysis of active transcriptional states in the residual cell populations, we are able to identify compensatory-signaling pathways. We demonstrate that combining MEK and PI3K/mTOR inhibitors with agents targeting these compensatory pathways induces synergistic antiproliferative effects. Citation Format: Tyler Risom, Ellen Langer, Juha Rantala, Mariano Alvarez, Katie Johnson-Camacho, Carl Pelz, Nicholas Wang, Paul Spellman, Andrea Califano, Joe Gray, Rosalie Sears. Overcoming phenotypic heterogeneity and plasticity in basal-like breast cancer through targeting adaptive pathway use. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research; Oct 17-20, 2015; Bellevue, WA. Philadelphia (PA): AACR; Mol Cancer Res 2016;14(2_Suppl):Abstract nr B52.

Poly(ADP-ribose) polymerase (PARP) is an enzyme involved in DNA repair. PARP inhibitors can act as chemosensitizers, or operate on the principle of synthetic lethality when used as single agent. Clinical trials have shown drugs in this class to be promising for BRCA mutation carriers. We postulated that inability to demonstrate response in non-BRCA carriers in which BRCA is inactivated by other mechanisms or with deficiency in homologous recombination for DNA repair is due to lack of molecular markers that define a responding subpopulation. We identified candidate markers for this purpose for olaparib (AstraZeneca) by measuring inhibitory effects of nine concentrations of olaparib in 22 breast cancer cell lines and identifying features in transcriptional and genome copy number profiles that were significantly correlated with response. We emphasized in this discovery process genes involved in DNA repair. We found that the cell lines that were sensitive to olaparib had a significant lower copy number of BRCA1 compared to the resistant cell lines (p value 0.012). In addition, we discovered seven genes from DNA repair pathways whose transcriptional levels were associated with response. These included five genes (BRCA1, MRE11A, NBS1, TDG, and XPA) whose transcript levels were associated with resistance and two genes (CHEK2 and MK2) whose transcript levels were associated with sensitivity. We developed an algorithm to predict response using the seven-gene transcription levels and applied it to 1,846 invasive breast cancer samples from 8 U133A/plus 2 (Affymetrix) data sets and found that 8–21 % of patients would be predicted to be responsive to olaparib. A similar response frequency was predicted in 536 samples analyzed on an Agilent platform. Importantly, tumors predicted to respond were enriched in basal subtype tumors. Our studies support clinical evaluation of the utility of our seven-gene signature as a predictor of response to olaparib. Electronic supplementary material The online version of this article (doi:10.1007/s10549-012-2188-0) contains supplementary material, which is available to authorized users.

Though xenografts are used extensively for drug development in breast cancer, how well xenografts reflect the breadth of primary breast tumor subtypes has not been well characterized. Moreover, few studies have compared the gene expression of xenograft tumors to the primary tumors from which they were derived. Here we investigate whether the ability of human breast tumors (n = 20) to create xenografts in immune-deficient mice is associated with breast cancer immunohistochemical (IHC) and intrinsic subtype. We also characterize how precisely the gene expression of xenografts reprises that of parent breast tumors, using hierarchical clustering and other correlation-based techniques applied to Agilent 44K gene expression data from 16 samples including four matched primary tumor-xenograft pairs. Of the breast tumors studied, 25 % (5/20) generated xenografts. Receptor and intrinsic subtype were significant predictors of xenograft success, with all (4/4) triple-negative (TN) tumors and no (0/12) HR+Her2- tumors forming xenografts (P = 0.0005). Tumor cell expression of ALDH1, a stem cell marker, trended toward successful engraftment (P = 0.14), though CDK5/6, a basal marker, did not. Though hierarchical clustering across the 500 most variable genes segregated human breast tumors from xenograft tumors, when clustering was performed over the PAM50 gene set the primary tumor-xenograft pairs clustered together, with all IHC subtypes clustered in distinct groups. Greater similarity between primary tumor-xenograft pairs relative to random pairings was confirmed by calculation of the within-pair between-pair scatter ratio (WPBPSR) distribution (P = 0.0269), though there was a shift in the xenografts toward more aggressive features including higher proliferation scores relative to the primary. Triple-negative breast tumors demonstrate superior ability to create xenografts compared to HR+ tumors, which may reflect higher proliferation or relatively stroma-independent growth of this subtype. Xenograft tumors' gene expression faithfully resembles that of their parent tumors, yet also demonstrates a shift toward more aggressive molecular features.

International audience; Breast cancers are comprised of molecularly distinct subtypes that may respond differently to pathway-targeted therapies now under development. Collections of breast cancer cell lines mirror many of the molecular subtypes and pathways found in tumors, suggesting that treatment of cell lines with candidate therapeutic compounds can guide identification of associations between molecular subtypes, pathways, and drug response. In a test of 77 therapeutic compounds, nearly all drugs showed differential responses across these cell lines, and approximately one third showed subtype-, pathway-, and/or genomic aberration-specific responses. These observations suggest mechanisms of response and resistance and may inform efforts to develop molecular assays that predict clinical response.

Squamous cell carcinomas (SCCs) are one of the most frequent forms of human malignancy, but, other than TP53 mutations, few causative somatic aberrations have been identified. We identified NOTCH1 or NOTCH2 mutations in ∼75% of cutaneous SCCs and in a lesser fraction of lung SCCs, defining a spectrum for the most prevalent tumor suppressor specific to these epithelial malignancies. Notch receptors normally transduce signals in response to ligands on neighboring cells, regulating metazoan lineage selection and developmental patterning. Our findings therefore illustrate a central role for disruption of microenvironmental communication in cancer progression. NOTCH aberrations include frameshift and nonsense mutations leading to receptor truncations as well as point substitutions in key functional domains that abrogate signaling in cell-based assays. Oncogenic gain-of-function mutations in NOTCH1 commonly occur in human T-cell lymphoblastic leukemia/lymphoma and B-cell chronic lymphocytic leukemia. The bifunctional role of Notch in human cancer thus emphasizes the context dependency of signaling outcomes and suggests that targeted inhibition of the Notch pathway may induce squamous epithelial malignancies.

Timely intervention for cancer requires knowledge of its earliest genetic aberrations. Sequencing of tumors and their metastases reveals numerous abnormalities occurring late in progression. A means to temporally order aberrations in a single cancer, rather than inferring them from serially acquired samples, would define changes preceding even clinically evident disease. We integrate DNA sequence and copy number information to reconstruct the order of abnormalities as individual tumors evolve for 2 separate cancer types. We detect vast, unreported expansion of simple mutations sharply demarcated by recombinative loss of the second copy of TP53 in cutaneous squamous cell carcinomas (cSCC) and serous ovarian adenocarcinomas, in the former surpassing 50 mutations per megabase. In cSCCs, we also report diverse secondary mutations in known and novel oncogenic pathways, illustrating how such expanded mutagenesis directly promotes malignant progression. These results reframe paradigms in which TP53 mutation is required later, to bypass senescence induced by driver oncogenes. Significance: Our approach reveals sequential ordering of oncogenic events in individual cancers, based on chromosomal rearrangements. Identifying the earliest abnormalities in cancer represents a critical step in timely diagnosis and deployment of targeted therapeutics. Cancer Discovery; 1(2); 137–43. © 2011 AACR. This article is highlighted in the In This Issue feature, p. 91

Autism spectrum disorders have been associated with maternally derived duplications that involve the imprinted region on the proximal long arm of chromosome 15. Here we describe a boy with a chromosome 15 duplication arising from a 3:1 segregation error of a paternally derived translocation between chromosome 15q13.2 and chromosome 9q34.12, which led to trisomy of chromosome 15pter-q13.2 and 9q34.12-qter. Using array comparative genome hybridization, we localized the breakpoints on both chromosomes and sequence homology suggests that the translocation arose from non-allelic homologous recombination involving the low copy repeats on chromosome 15. The child manifests many characteristics of the maternally-derived duplication chromosome 15 phenotype including developmental delays with cognitive impairment, autism, hypotonia and facial dysmorphisms with nominal overlap of the most general symptoms found in duplications of chromosome 9q34. This case suggests that biallelically expressed genes on proximal 15q contribute to the idic(15) autism phenotype.

A panel of cell lines of diverse molecular background offers an improved model system for high-content screening, comparative analysis, and cell systems biology. A computational pipeline has been developed to collect images from cell-based assays, segment individual cells and colonies, represent segmented objects in a multidimensional space, and cluster them for identifying distinct subpopulations. While each segmentation strategy can vary for different imaging assays, representation and subpopulation analysis share a common thread. Application of this pipeline to a library of 41 breast cancer cell lines is demonstrated. These cell lines are grown in 2D and imaged through immunofluorescence microscopy. Subpopulations in this panel are identified and shown to correlate with previous subtyping literature that was derived from transcript data.

Specific inhibitors of mitogen-activated protein kinase/extracellular signal-regulated kinase (ERK) kinase (MEK) have been developed that efficiently inhibit the oncogenic RAF-MEK-ERK pathway. We used a systems-based approach to identify breast cancer subtypes particularly susceptible to MEK inhibitors and to understand molecular mechanisms conferring resistance to such compounds. Basal-type breast cancer cells were found to be particularly susceptible to growth inhibition by small-molecule MEK inhibitors. Activation of the phosphatidylinositol 3-kinase (PI3K) pathway in response to MEK inhibition through a negative MEK-epidermal growth factor receptor-PI3K feedback loop was found to limit efficacy. Interruption of this feedback mechanism by targeting MEK and PI3K produced synergistic effects, including induction of apoptosis and, in some cell lines, cell cycle arrest and protection from apoptosis induced by proapoptotic agents. These findings enhance our understanding of the interconnectivity of oncogenic signal transduction circuits and have implications for the design of future clinical trials of MEK inhibitors in breast cancer by guiding patient selection and suggesting rational combination therapies. [Cancer Res 2009;69(2):565–72]

Development of model systems that recapitulate the molecular heterogeneity observed among glioblastoma multiforme (GBM) tumors will expedite the testing of targeted molecular therapeutic strategies for GBM treatment. In this study, we profiled DNA copy number and mRNA expression in 21 independent GBM tumor lines maintained as subcutaneous xenografts (GBMX), and compared GBMX molecular signatures to those observed in GBM clinical specimens derived from the Cancer Genome Atlas (TCGA). The predominant copy number signature in both tumor groups was defined by chromosome-7 gain/chromosome-10 loss, a poor-prognosis genetic signature. We also observed, at frequencies similar to that detected in TCGA GBM tumors, genomic amplification and overexpression of known GBM oncogenes, such as EGFR, MDM2, CDK6, and MYCN, and novel genes, including NUP107, SLC35E3, MMP1, MMP13, and DDX1. The transcriptional signature of GBMX tumors, which was stable over multiple subcutaneous passages, was defined by overexpression of genes involved in M phase, DNA replication, and chromosome organization (MRC) and was highly similar to the poor-prognosis mitosis and cell-cycle module (MCM) in GBM. Assessment of gene expression in TCGA-derived GBMs revealed overexpression of MRC cancer genes AURKB, BIRC5, CCNB1, CCNB2, CDC2, CDK2, and FOXM1, which form a transcriptional network important for G2/M progression and/or checkpoint activation. Our study supports propagation of GBM tumors as subcutaneous xenografts as a useful approach for sustaining key molecular characteristics of patient tumors, and highlights therapeutic opportunities conferred by this GBMX tumor panel for testing targeted therapeutic strategies for GBM treatment.

A new protocol for using molecular inversion probes to specifically and accurately measure allele copy numbers., We have developed a new protocol for using molecular inversion probes to accurately and specifically measure allele copy number. The new protocol provides for significant improvements, including the reduction of input DNA (from 2 μg) by more than 25-fold (to 75 ng total genomic DNA), higher overall precision resulting in one order of magnitude lower false positive rate, and greater dynamic range with accurate absolute copy number up to 60 copies.

Desmoplastic melanomas (DMs) comprise 4% of the overall melanoma burden and have a 5-year survival rate of 85%. DMs are dermal tumors characterized by spindled melanocytes situated within abundant desomplastic stroma. These unusual histological features commonly lead to misdiagnosis. Currently, there are no known genetic drivers. A better understanding of the underlying biology of desmoplastic melanoma would provide biomarkers and therapeutic opportunities. Towards this goal, we performed low-coverage genome and high-coverage exome sequencing of 20 DMs in a discovery cohort, followed by targeted sequencing of 293 candidate genes on a validation cohort of 42 cases. Additionally, high-resolution aCGH was performed on samples from both cohorts. A high mutation burden (median 62 mutations/Mb) ranked desmoplastic melanoma among the most highly mutated cancers sequenced to date. Mutation patterns strongly indicate that UV-radiation is the dominant mutagen and implicate a superficially located cell of origin despite their predominantly intradermal presentation. Novel alterations included recurrent promoter mutations and amplification of NF-kappa B inhibitor epsilon, NFKBIE (IkBϵ) in 14.5% of samples. The promoter mutations typically affect both alleles and occur over a highly conserved DNA region. The mutations are predicted to disrupt a canonical Ets Like Factor 1 (ELF1) binding site. In total, these data imply aberrant NF-kappa B signaling as a pathogenic feature of desmoplastic melanoma. Commonly mutated oncogenes in melanomas, in particular BRAF V600E and NRAS Q61K/R, were absent. Instead, other genetic alterations known to activate the MAPK and PI3K signaling cascades were identified in 73% of samples, affecting NF1, CBL, ERBB2, MAP2K1, MAP3K1, BRAF, EGFR, PTPN11, MET, RAC1, SOS2, NRAS, and PIK3CA. Rb and p53 pathway alterations occurred respectively in 71% and 66% of tumors, affecting RB1, FBXW7, CDK4, PPP6C, CCND1, CDKN2A, TP53, and MDM2. Finally, TERT promoter mutations or amplifications occurred in 90% of tumors. The consequences of the mutations on protein expression levels was confirmed by immunostaining for NF1, EGFR, Rb, CDK4, CCND1, p16, p53, and Mdm2. Collectively, many of these oncogenic mutations are potentially druggable. In conclusion, desmoplastic melanomas harbor distinct genetic alterations that explain their unique biology, and this study illuminates genetic biomarkers and nominates targets for therapeutic intervention. Citation Format: Alan H. Shain, Maria Garrido, Thomas Botton, Eric Talevich, Iweh Yeh, Zack Sanborn, Jongsuk Chung, Nicholas Wang, Hojabr Kakavand, Graham Mann, John Thompson, Thomas Wiesner, Ritu Roy, Adam Olshen, Alexander Gagnon, Joe Gray, Nam Huh, Joe Hur, Klaus Busam, Richard Scolyer, Raymond Cho, Rajmohan Murali, Boris Bastian. Exome sequencing of desmoplastic melanoma reveals recurrent NFKBIE promoter mutations and diverse MAPK/PI3K pathway activating mutations. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 2968. doi:10.1158/1538-7445.AM2015-2968

Background: Compelling evidence suggests that a more complete blockade of the HER receptor layer and its signaling, by combining anti-HER2 drugs such as Trastuzumab (T) and Lapatinib (L), is highly effective. However, resistance remains a challenge. To understand resistance mechanisms, we established a broad panel of L, T, and L+T resistant cell line models. Initial mRNA expression profiling identified upregulation or restoration of the mevalonate (MVA) pathway in some models where HER signaling is completely and sustainably blocked, suggesting a possible role of the MVA pathway in resistance. This pathway is a biosynthetic process for cholesterol and isoprenoid intermediates, particularly farnesyl and geranylgeranyl pyrophosphates (FPP and GGPP). Coordinating gene expression of this pathway is regulated by the master transcription factor, SREBP. Statins, cholesterol-lowering drugs, block this pathway via inhibiting the rate-limiting enzyme, HMG-CoA reductase. While a role of the MVA pathway in tumor initiation and progression was reported, its role in anti-HER2 resistance has remained elusive. Methods: SKBR3, AU565, and UACC812 parental HER2+ cells and their T, L, and L+T resistant derivatives (TR, LR, and LTR) were used. SREBP activity was determined by a reporter luciferase assay. Cell growth was assayed by methylene blue staining. Apoptosis was determined by Annexin V staining and the protein level of cleaved PARP. Molecular signaling analysis was performed by western blotting (WB) and reverse phase protein array (RPPA). Results: Reporter assays showed the inhibition of the SREBP activity upon LT treatment and its restoration at resistance. Blocking the MVA pathway with statins led to a marked growth inhibition or apoptosis in LR/LTR models, in which the HER signaling remains sustainably inhibited, while cognate parental cells and TR cells, in which HER is (re)activated, were slightly inhibited. Prevention of statin-induced growth inhibition or apoptosis by exogenous MVA indicated the specific role of this pathway in resistance. Cholesterol or its precursor squalene could not rescue growth inhibition. In contrast, both FPP and GGPP reversed the growth inhibition or apoptosis in SKBR3 and AU565 LR/LTR models, while in the UACC812LTR model only GGPP rescued. WB showed that mTOR and estrogen receptor (ER) are downstream effectors mediating the MVA pathway to anti-HER2 resistance. Proteomic analysis revealed additional novel MVA effectors which are currently under biochemical and functional validation. Conclusion: The MVA pathway plays a key role as an escape pathway by activating alternative signaling, including mTOR and ER pathways, in acquired resistance to potent HER2 inhibition in a cholesterol-independent but FPP/GGPP-dependent manner. Targeting the MVA pathway or its downstream effectors might provide a novel therapeutic strategy to overcome anti-HER2 resistance. Citation Format: Huizhong Hu, Lukas Simon, Lanfang Qin, Agostina Nardone, Chad Shaw, Gary Chamness, Laura Heiser, Nicholas Wang, Joe W. Gray, C. Kent Osborne, Rachel Schiff. Mevalonate pathway mediates acquired anti-HER2 treatment resistance in HER2+ breast cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 721. doi:10.1158/1538-7445.AM2015-721

BRCA1-related breast cancer is characterized by a high degree of genomic instability. However, to which extent this instability is a random result of the homologous recombination defect or the selection of the tumor phenotype, is unknown. The objective of this study is to investigate the genomic aberrations (copy number variation and somatic mutations) of BRCA1-related breast cancer, using a mouse model, to identify likely nonrandom aberrations and their biological functions. We examined genomic aberrations of three independent BRCA1-related tumors from a genetically engineered mouse model, K14-Cre BRCA1f/fp53f/f. Tumors had been propagated in Cre-negative littermates and liver tissue of the recipient mice from the controls were used as a germline control. Fresh frozen tumors and normal samples were used for exome sequencing and RNA-seq using Illumina technology. A commonly used workflow, GATK, was used for the sequence alignment, preprocessing and calling somatic mutations. VarScan2 was used for calling somatic copy number variations. We investigate the prevalence of common aberrations among these mouse in human BRCA1-related breast and ovarian cancer from The Cancer Genome Atlas (TCGA). We used the BioMart software tool to map mouse genes to human genes for the cross species analysis. After identifying common aberrant regions and genes across human and mouse we applied enrichment analysis using GOSeq, MetaCore and MSigDB software tools to identify the biological functions of the genetic alterations observed in BRCA1-related breast cancer across species. The analysis of exome sequencing data from BRCA1-related mouse tumors revealed surprisingly similar patterns of CNVs and rates of non-synonymous mutations. Correspondingly, distinct pattern were identified with regard to CNVs in human BRCA1-related breast and ovarian cancer. The cross species analysis of BRCA1-related TCGA ovarian and breast cancer tumors and BRCA1-related mouse tumors identified commonly aberrant regions that mapped to the long arms of human chromosomes 1, 8, 17 and 20 in both breast and ovarian cancer. Functionally, the blocks of genes that were commonly amplified in BRCA1-related breast or ovarian cancer included genes that transduce mitogenic signaling and ligand independent activation of estrogen receptors ESR1 and ESR2 as well as genes of the renin-angiotensin system. To conclude, copy number aberrations in BRCA1-related breast or ovarian cancers are not random and enrich for genes that enforce mitogenic signaling. The data support the notion that in addition to loss of cell cycle checkpoint control, tumor development requires activation of a mitogenic signaling program that could potentially be targeted for treatment. Citation Format: Sheida Nabavi, Kristina M. Holton, Ashish Juvekar, Nicholas Wang, Olivier Elemento, Lewis C. Cantley, Gerburg M. Wulf. Non-random genomic alterations in BRCA1-related breast cancer. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1081. doi:10.1158/1538-7445.AM2015-1081

Multiple lines of evidence demonstrate that castration-resistant prostate cancers (CRPCs) remain reliant on androgens that activate the androgen receptor (AR). Treatment with the novel anti-androgen enzalutamide improves both progression-free and overall survival in CRPC patients (Beer, 2014, Scher, 2012). However, progression is universal. Recently, F876L mutations in the AR ligand binding domain have been described (Balbas, 2013, Korpal, 2013, Joseph, 2013). This mutation confers resistance to enzalutamide treatment and in some cases converts enzalutamide to an AR agonist in pre-clinical studies (Balbas, 2013, Korpal, 2013, Joseph, 2013). Clinical studies demonstrate that ∼10% of patients harbor F876L mutations after treatment with novel anti-androgens (Joseph, 2013). However, anti-androgen withdrawal effects (PSA responses) after discontinuing enzalutamide are rarely seen clinically (Rodriguez-Vida, 2014). An enzalutamide-resistant cell line was developed after chronic treatment of LNCaP cells in vivo. We found that this resistant cell line was dependent on AR expression for survival and that this cell line harbored an AR F876L mutation. When these resistant cells were cultured in complete serum, enzalutamide treatment did not lead to agonistic effects. However, enzalutamide treatment of these resistant cells or cell lines with ectopic expression of AR F876L cultured in androgen-depleted serum led to a significant agonistic effect - an effect that was attenuated by the addition of androgens to culture. Finally, prior work and our own demonstrated that F876L mutant and wild-type AR activate similar pathways (Joseph, 2013). Therefore, we determined if suppression of previously described transcriptional co-activators of wild-type AR also blocked AR F876L function. We found several targetable AR co-activators that met that standard. Our data demonstrate that androgens interfere with enzalutamide-induced agonism of F876L mutant AR. Because androgens persist in enzalutamide-resistant CRPC, AR activation by androgens, rather than enzalutamide, may explain why enzalutamide discontinuation does not lead to anti-androgen withdrawal effects clinically. Further, our results provide a cautionary note on therapeutic efforts to deplete androgens concomitantly with enzalutamide treatment as this may accentuate AR agonism by enzalutamide in tumors harboring AR F876L mutations. Finally, targeting critical AR transcriptional co-activators is a promising strategy to suppress mutant AR F876L function irrespective of whether the AR agonist is androgens or enzalutamide. Citation Format: Daniel Coleman, Katy Van Hook, Robert Lisac, Carly King, Nicholas Wang, Jacob Schwartzman, Martin Gleave, Lina Gao, Joshua Urrutia, Laura Heiser, Joshi J. Alumkal. Androgens interfere with enzalutamide agonism of mutant F876L androgen receptor. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 3592. doi:10.1158/1538-7445.AM2015-3592

Background: Targeting HER2 with lapatinib (L), trastuzumab (T), or the LT combination, is effective in HER2+ breast cancer (BC), but acquired resistance commonly occurs. In our 12-week neoadjuvant trial (TBCRC006) of LT without chemotherapy in HER2+ BC, the overall pathologic complete response (pCR) rate was 27%. To investigate resistance mechanisms, we developed 10 HER2+ BC cell line models resistant (R) to one or both drugs (LR/TR/LTR). To discover potential predictive markers/therapeutic targets to circumvent resistance, we completed genomic profiling of the cell lines and a subset of pre-treatment specimens from TBCRC006. Methods: Parental (P) and LR/TR/LTR lines of 10 cell line models were profiled with whole exome/RNA sequencing. Mutations detected in R lines but not in P lines of the same model were identified. Mutation-specific Q-PCR was designed for sensitive quantification. Resistant cell and xenograft tumor growth were measured in response to drugs. Whole exome sequencing (>100X) and Ampliseq of 17 baseline tumor/normal pairs from TBCRC006 were performed. Results: We found and validated the HER2 L755S mutation in the BT474/ATCC-LTR line and BT474/AZ-LR line (in ∼30% of DNA/RNA), in which the HER pathway was reactivated for resistance. Overexpression of this mutation was previously shown to induce LR in HER2-negative BC cell lines, and resistant growth of BT474/AZ-LR line is significantly inhibited by HER2-L755S-specific siRNA knock-down, suggesting its role as an acquired L/LT resistance driver in HER2+ BC. Sequencing of BT474/AZ-LR single cell clones found the mutation in ∼30% of HER2 copies in every cell. Using mutation-specific Q-PCR, we found statistically higher HER2 L755S levels in two BT474 parentals compared to P lines of SKBR3, AU565, and UACC812. These data suggest that HER2 L755S resistant subclones preexist in the BT474 parentals and were selected by L treatment to become the major clone in the two R lines. The HER1/2 irreversible tyrosine kinase inhibitor (TKI) afatinib (Afa) robustly inhibited growth of BT474/AZ-LR and BT474/ATCC-LTR cells (IC50: Afa 0.02μM vs. L 3 μM) and BT474/AZ-LR xenografts. Whole exome sequencing/Ampliseq of TBCRC006 found the HER2 L755S mutation in 1/17 primaries. This patient did not achieve pCR. The variant was present in 2% of DNA on both platforms, indicating a subclonal event of the resistance mutation. Conclusion: Acquired L/LT resistance in the two BT474 R lines is due to selection of HER2 L755S subclones present in parental cells. The higher HER2 L755S levels in BT474 parentals compared with other parentals, and detection of its subclonal presence in a pre-treatment HER2+ BC patient, suggest that sensitive mutation detection methods will be needed to identify patients with potentially actionable HER family mutations in primary tumor. Treating this patient group with an irreversible TKI like Afa may prevent resistance and improve clinical outcome of this subset of HER2+ BC. Citation Format: Xiaowei Xu, Agostina Nardone, Huizhong Hu, Lanfang Qin, Sarmistha Nanda, Laura Heiser, Nicholas Wang, Kyle Covington, Edward Chen, Alexander Renwick, Tamika Mitchell, Marty Shea, Tao Wang, Carmine De Angelis, Alejandro Contreras, Carolina Gutierrez, Suzanne Fuqua, Gary Chamness, Chad Shaw, Marilyn Li, David Wheeler, Susan Hilsenbeck, Mothaffar Fahed Rimawi, Joe Gray, C.Kent Osborne, Rachel Schiff. Clonal evolution of the HER2 L755S mutation as a mechanism of acquired HER-targeted therapy resistance. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 737. doi:10.1158/1538-7445.AM2015-737