BLU-222 is an investigational, potent, highly selective, orally bioavailable cyclin-dependent kinase 2 (CDK2) inhibitor in clinical development. BLU-222 demonstrated robust antitumor activity in select CCNE1-high ovarian and endometrial cancer models. We used a combination of CRISPR whole-genome screens coupled with targeted genetic and pharmacologic approaches in ovarian and endometrial cell lines to identify biological determinants to predict BLU-222 monotherapy activity. Rb and p16 expression were biomarkers that enriched for CDK2-dependency/BLU-222 sensitivity in CCNE1-overexpressed, nonamplified cells. Furthermore, intact Rb and low p16 expression predicted a BLU-222 and CDK4/6 inhibitor combination response. BLU-222 demonstrated robust activity in combination with carboplatin or paclitaxel in CCNE1-aberrant models, rendering chemotherapy-resistant tumors strongly sensitive to the combination. These findings demonstrate that response to CDK2 inhibition by BLU-222 can be further predicted using a combinatorial biomarker signature that could refine patient selection criteria in CCNE1-high patients and support clinical development.Significance: The identification of biomarkers of response to the CDK2-selective inhibitor BLU-222 and effective combinations with CDK4/6 inhibitors or chemotherapy could enable precision medicine strategies for CDK2 inhibition in ovarian and endometrial cancer.See related article by Dommer and colleagues, p. 1310

Abstract Background: Many cyclin-dependent kinases (CDK) bind regulatory cyclins to control cell cycle progression. Aberrant CDK2 activation occurs in selected cancers (e.g., ovarian cancer, endometrial cancer) through CCNE1 amplification, leading to Rb phosphorylation, inactivation, and cell cycle checkpoint dysregulation. CCNE1 amplification and subsequent cyclin E overexpression are associated with chemotherapy resistance and shorter progression-free and overall survival. Therefore, novel therapies are needed to inhibit aberrant CDK2 activation and elicit positive clinical benefit in these patients. BLU-222 is a potent, highly selective, orally bioavailable, investigational CDK2 inhibitor with demonstrated activity in preclinical CCNE1-amplified ovarian cancer models. Here, we explored additional, specific biomarkers to predict BLU-222 sensitivity in ovarian and endometrial cancer as monotherapy or in novel combination treatment strategies. Methods: In vitro antiproliferative effect of BLU-222 was assessed by CyQuant in a panel of CCNE1-aberrant or CCNE1-normal ovarian and endometrial cell lines. Combination of BLU-222 and paclitaxel was evaluated by dosing matrix; synergy was calculated using SynergyFinder. In vivo antitumor activity of BLU-222 as a single agent or combined with paclitaxel was measured in CCNE1-aberrant endometrial cancer patient-derived xenograft (PDX) models (XenoSTART). Results: In ovarian and endometrial cell lines, CCNE1 amplification (copy number ≥ 6) predicted strong antiproliferative response to BLU-222. Using multivariate biomarker analysis, high p16 protein expression and wild-type Rb protein were identified as additional predictive markers for response to BLU-222 in CCNE1-aberrant cell lines. BLU-222 with paclitaxel was broadly active in endometrial cancer cell lines, with the strongest combination effect in cells with high CCNE1 expression, wild-type Rb protein, and low p16 protein expression. In vivo, BLU-222 elicited strong monotherapy antitumor response in CCNE1 copy number-aberrant endometrial cancer PDX models, and this effect was strengthened with the combination of paclitaxel. Conclusions: In preclinical models of CCNE1-aberrant endometrial cancer, BLU-222 demonstrated enhanced activity in combination with paclitaxel. Furthermore, Rb and p16 protein expression can be used in conjunction with CCNE1 copy number to predict response to both BLU-222 monotherapy and combination treatment. These data provide a rationale for using BLU-222 in combination with paclitaxel and demonstrate the potential benefit of using specific biomarkers to predict response. Citation Format: Nealia House, Victoria Brown, Liang Yuan, Maxine Chen, Stephanie Lee, Rentian Wu, Lakshmi Muthuswamy, Scott Ribich, Philip Ramsden, Kerrie Faia. BLU-222, a potent and highly selective CDK2 inhibitor, demonstrates antitumor activity as monotherapy and as combination treatment in CCNE1-aberrant endometrial cancer models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1959.

Cyclin-dependent kinase 4/6 (CDK4/6) inhibitors are standard of care in combination with endocrine therapy in advanced hormone receptor-positive (HR+), human epidermal growth factor receptor 2 negative (HER2-) breast cancer. Despite improved progression-free and overall survival, almost all patients develop CDK4/6 inhibitor resistance and experience disease progression on treatment. Aberrant activation of CDK2/cyclin E is a key resistance mechanism by which tumors can evade CDK4/6 blockade. Therefore, patients with HR+/HER2- breast cancer could benefit from treatment with a selective CDK2 inhibitor in combination with CDK4/6 inhibitors both in the resistant and first-line (1L) settings. BLU-222 is a novel, potent, and selective small-molecule inhibitor of CDK2 with favorable pharmacokinetic properties when administered orally, currently in early-stage clinical development. In pre-clinical studies using the MCF-7 xenograft model of HR+ CDK4/6-responsive breast cancer, treatment with BLU-222 combined with the CDK4/6 inhibitor ribociclib led to pronounced and durable tumor regression superior to ribociclib alone. In a derived palbociclib resistant MCF-7 xenograft model, ribociclib had no anti-tumor activity while BLU-222 led to a strong and durable anti-tumor response (83% tumor growth inhibition [TGI]) that was further improved when given in combination with ribociclib (110% TGI). To further explore the mechanism of aberrant CDK2 activation in CDK4/6 resistant, HR+ breast cancer, we engineered isogenic T47D cell lines to overexpress cyclin E1 (CCNE1) with or without p16, an endogenous inhibitor of CDK4/6 activity. In in vitro proliferation assays, co-expression of CCNE1 and p16 sensitized T47D cells to BLU-222 by approximately 10-fold compared to the parental control (110 nM vs 1078 nM, respectively). CDK4/6 inhibition with ribociclib had no anti-proliferative effect in the CCNE1 overexpressing cell lines regardless of p16 expression status. In vivo, treatment of the empty vector control T47D xenografts with ribociclib led to tumor stasis, while ribociclib in combination with BLU-222 led to tumor regression. T47D xenografts overexpressing both CCNE1 and p16 were resistant to ribociclib however CDK2 inhibition with BLU-222 single-agent treatment led to tumor regression. Finally, the activity of BLU-222 was evaluated in a patient-derived xenograft (PDX) model of CDK4/6 inhibitor-resistant HR+/HER2- breast cancer where the patient had progressed on 1L palbociclib/fulvestrant and 2L abemaciclib/fulvestrant therapy. In this PDX model, BLU-222 in combination with ribociclib led to tumor stasis, even in the absence of fulvestrant. In conclusion, these data support CDK2/cyclin E activation as a key vulnerability in CDK4/6 resistant, HR+/HER2- breast cancer and provide a rationale for the study of BLU-222 in patients with disease progression following CDK4/6 inhibitor treatment. Additionally, the improved durability of response when BLU-222 is combined with CDK4/6 inhibitors in the CDK4/6-naïve setting supports the combination of these agents as 1L treatment. BLU-222 is currently under investigation in VELA (NCT05252416), a phase 1/2, first-in-human trial for patients with cyclin E aberrant cancers and HR+/HER2- breast cancer. Citation Format: Victoria Brown, Nealia House, Phil Ramsden, Karen Ho, Hsin-Jung Wu, Erik Wilker, Jian Guo, Maxine Chen, Douglas Wilson, Neil Bifulco, Steve Wenglowsky, Yoon Jong Choi, Kerrie Faia. CDK2 inhibition with BLU-222 in combination with ribociclib demonstrates robust antitumor activity in pre-clinical models of CDK4/6 inhibitor-naïve and -resistant HR+/HER2- breast cancer [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P6-10-07.

Abstract CCNE1 amplification is a common alteration in high-grade serous ovarian cancer and occurs in 15–20% of these tumors. These amplifications are mutually exclusive with homologous recombination deficiency, and, as they have intact homologous recombination, are intrinsically resistant to poly (ADP-ribose) polymerase inhibitors or chemotherapy agents. Understanding the molecular mechanisms that lead to this mutual exclusivity may reveal therapeutic vulnerabilities that could be leveraged in the clinic in this still underserved patient population. Here, we demonstrate that CCNE1-amplified high-grade serous ovarian cancer cells rely on homologous recombination to repair collapsed replication forks. Cyclin-dependent kinase 2, the canonical partner of cyclin E1, uniquely regulates homologous recombination in this genetic context, and as such cyclin-dependent kinase 2 inhibition synergizes with DNA damaging agents in vitro and in vivo. We demonstrate that combining a selective cyclin-dependent kinase 2 inhibitor with a DNA damaging agent could be a powerful tool in the clinic for high-grade serous ovarian cancer.

BACKGROUND: Lung cancer is the leading cause of cancer death globally. EGFR mutations are the most common genomic drivers of non-small cell lung cancer (NSCLC), occurring in ~17% and up to 50% of Caucasian and Asian patients, respectively, with exon 19 deletions (ex19del) and L858R substitutions being the most prevalent activating EGFR mutations (EGFRm). Outcomes have improved in patients with EGFR-driven NSCLC since the introduction of EGFR tyrosine kinase inhibitors (TKIs); however, treatment resistance almost inevitably occurs. It has been reported that patients harboring the EGFR L858R mutation, who represent 3.4% of lung adenocarcinoma cases in North America and 23% in Asia, have poorer outcomes than those with EGFR ex19del, suggesting a significant unmet need in this population. BLU-945 and BLU-701 are investigational, reversible, selective, and orally available TKIs optimized for use as single-agent or combination therapy to effectively suppress activating and on-target resistance EGFR mutants while sparing WT EGFR, and have the potential to treat or prevent central nervous system metastases. In vivo studies previously demonstrated the antitumor activity of BLU-945 against EGFR L858R/T790M and EGFRm/T790M/C797S mutants, and BLU-701 against EGFR ex19del and EGFRm/C797S mutants. Because EGFR L858R-driven NSCLC constitutes a large population of patients who may not be receiving the same benefit from third-generation (3G) TKIs as those with EGFR ex19del, studies were conducted to evaluate the antitumor activity of BLU-945 and BLU-701, as single agents and in combination, in preclinical NSCLC tumor models driven by L858R in the absence of the T790M mutation. METHODS: The in vivo antitumor activities of BLU-945 and BLU-701, as single-agents or in combination, were evaluated in 2 EGFR L858R-driven patient-derived xenograft (PDX) subcutaneous tumor models and in an engineered EGFR L858R/C797S-driven Ba/F3 cell line-derived xenograft (CDX) subcutaneous tumor model. RESULTS: Oral daily administration of single-agent BLU-945 and single-agent BLU-701 resulted in sustained tumor regression in 2 PDX models of EGFR L858R NSCLC. Compared with single agents in an EGFR L858R/C797S Ba/F3 CDX tumor model, combination of BLU-945 with BLU-701 resulted in marked antitumor activity and prolonged tumor regression. CONCLUSION: The in vivo antitumor activities of BLU-945 and BLU-701 in preclinical tumor models suggest that both BLU-945 and BLU-701 have the potential to be used in patients with EGFR L858R-driven NSCLC, including those who are treatment naïve or previously treated with 3G TKI. Combining BLU-945 and BLU-701 may enable coverage of frequent on-target resistance mechanisms, including the EGFR C797S mutation, in addition to the common L858R activating mutation. Citation Format: Luz Tavera, Stefanie Schalm, John Campbell, Jian Guo, Clare Medendorp, Maxine Chen, Faris Albayya, Tom Dineen, Zhuo Zhang, Maria Iliou, Ebby Job, Nisha Perez, Yoav Timsit, Scott Wardwell, Katie McGinn, Richard Woessner, Chiara Conti. Antitumor activity of BLU-945 and BLU-701 as single agents and in combination in EGFR L858R-driven models of NSCLC [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3328.

Background: Cyclin-dependent kinases (CDK) are a class of enzymes that, along with their regulatory cyclin binding partners, drive cell cycle progression. Cell cycle dysregulation is a hallmark of cancer and targeting its genetic drivers can confer therapeutic benefits. Cyclin E1 (CCNE1) gene alterations are common in patients with ovarian cancer and can be found in ~20% of high-grade serous ovarian cancer cases, which tend to be platinum therapy resistant and therefore represent a high medical need. Cyclin E1 is the canonical binding partner of CDK2, which becomes constitutively active when CCNE1 is amplified and overexpressed. Selectively inhibiting CDK2 is an attractive therapeutic option for CCNE1-amplified tumors and may limit off-target CDK-driven toxicities. Here we report preclinical validation studies leading to the development of an orally available CDK2 inhibitor, BLU-222, for the treatment of ovarian cancer harboring a CCNE1 amplification. Methods: BLU-222 selectivity was measured by enzyme assays, cellular target engagement assays (NanoBRET), and proliferation assays in a panel of ovarian cancer cell lines. In vitro cellular potency was assessed by phospho-Rb levels. In vivo antitumor activity of BLU-222 as a single agent or in combination with carboplatin was measured in an OVCAR-3 cell line-derived xenograft (CDX) tumor model harboring a CCNE1 amplification. Results: BLU-222 demonstrated selectivity, both biochemically and in cells, with low nanomolar potency for CDK2 vs other CDK family members (CDK1, -4, -6, -7, and -9). In a panel of ovarian cancer cell lines, those with CCNE1 amplifications were highly sensitive to BLU-222. Consistent with the in vitro profiling, BLU-222 exhibited significant antitumor activity in the OVCAR-3 CDX model. While administration of single-agent carboplatin led to stasis in vivo, the combination of BLU-222 + carboplatin induced durable tumor regression even after treatment cessation. Conclusions: These data provide a strong rationale for advancing BLU-222 towards clinical development in patients with CCNE1-amplified ovarian cancer. Citation Format: Victoria Brown, Phil Ramsden, Nealia House, Richard Vargas, Jian Guo, Ruduan Wang, Riadh Lobbardi, Maxine Chen, Douglas Wilson, Joseph Kim, Neil Bifulco, Michelle Maynard, Emanuele Perola, Dean Zhang, Steve Wenglowsky, Yoon Jong Choi. BLU-222, an investigational, potent, and selective CDK2 inhibitor, demonstrated robust antitumor activity in CCNE1-amplified ovarian cancer models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2306.

Telomere length (TL) is considered a biomarker of ageing although this topic is still debated. Also, sleep pattern changes are physiological part of the normal ageing process. In fact, it is widely recognized that sleep duration declines with age, leading to dysregulation of circadian rhythms. The aim of our study was to analyse the possible association of sleep duration with TL in a sample of 135 subjects with ages ranging from 20 to 111 years, recruited from Palermo and neighbouring municipalities in Sicily (Italy). Preliminary data suggest that relative TL (RTL) decreases with age in both men and women. However, at older ages, the difference between men and women tends to narrow. Nonagenarian and centenarian women do not show RTL values significantly different from those observed in adult and old women (40-89 years aged). Moreover, to analyse the relationship between TL and sleep, we stratified sleep duration into greater or lesser than 8-h periods. We found that centenarians, who daily sleep 8 hours or more, have longer RTL than centenarians who sleep fewer than 8 hours. Although the relatively small sample size of centenarians, we provide preliminary evidence that sleep duration may affect the RTL of centenarians. To the best of our knowledge, this is the first study to examine the relationship between centenarians, RTL and sleep duration. Further studies with greater sample size of centenarians are required to replicate and extend these data.

INTRODUCTION AND OBJECTIVES: Baseline PSA during midlife predicts lethal prostate cancer (PCa) with accuracy and can be used for risk-stratified screening. We sought to investigate how adjustment of baseline PSA levels for single nucleotide polymorphisms (SNPs) related to circulating PSA levels might improve prediction of aggressive PCa. METHODS: We used the Physicians Health Study (PHS) and the Southern Community Cohort Study (SCCS) to identify men aged 40-70 yrs who had baseline PSA and SNP data. In the PHS, there were 392 white men with maximum 30 yr follow-up consisting of 145 aggressive PCa cases (Gleason >6, metastatic or fatal) with 121 controls plus 126 non-aggressive PCa cases as comparison. In the SCCS, there were 319 black men with maximum 12 yr follow-up consisting of 211 PCa cases and 108 controls. Baseline PSA>10 ng/ml were excluded. Median and percentile PSA groupings were established from among controls as in prior publications. In PHS, median PSA was 1.10, 75th percentile was 2.2, and 90th was 3.40. In SCCS, median PSA was 0.9, 75th percentile was 1.4 and 90th was 2.8. We created both unweighted and weighted genetic risk scores (GRS) based on SNPs identified to be associated with PSA in the Hoffman et al. Nat Genet. 2017 GWAS of PSA levels. GRS was used to adjust PSA values and then we assessed logistic regression models and AUC results. RESULTS: In PHS, compared to men with PSA < median, the age-adjusted odds ratio (OR) for men with PSA > 75th was OR 3.1 (95% CI 1.8, 5.3. When including the GRS, the adjusted OR for men with PSA > 75th improved to OR 3.4 (95% CI 1.9, 5.9) compared to men with a PSA < median. Age adjusted AUC was 0.64 (95% CI 0.59, 0.70) and GRS adjusted AUC was 0.65 (95% CI 0.59, 0.70). In SCCS, compared to men with PSA < median, the age-adjusted odds ratio (OR) for men with PSA > 75th was OR 27.9 (95%CI 12.0, 64.9). The GRS adjusted OR for men with PSA > 75th improved to OR 30.3 (95%CI 12.8, 71.7) compared to a PSA < median. The age and GRS adjusted AUC were 0.87 (0.83, 0.91). 21% (81/392) in PHS and 18% (56/319) of men in SCCS were reclassified by one quintile category using the PSA value adjusted for GRS with most movement in the middle quintiles. CONCLUSIONS: We found that the GRS adjusted baseline PSA modestly improved prediction of total and aggressive prostate cancer especially in men with moderately elevated PSA levels. It is possible that adjustment for genetic determinants of PSA may remove variation in levels unrelated to future cancer risk. Source of Funding: Prostate Cancer Foundation

Abstract Endometrial carcinoma (EC), a malignancy that arises from the epithelial lining of the uterus, is heterogeneous at histologic and molecular levels. Risk factors and outcomes also differ by type. Though prior studies characterized the genomic landscape of endometrial carcinoma, few integrated histologic, clinical, and prospectively collected epidemiologic data into the analysis. We collected formalin-fixed paraffin embedded tumor tissue from women enrolled in the Nurses’ Health Study who were diagnosed with EC between 1976 and 2012. We targeted 50 cancer related genes for high-throughput sequencing to identify genetic variants in 37 ECs and correlate findings with immunohistochemical, histologic, and epidemiologic data. Case selection was designed to include maximal power to discover genetic changes associated with p53 immunohistochemical status and clinical stage of disease at diagnosis. Mutations most frequently occurred in TP53 (57%), PTEN (46%), and PIK3CA (38%). TP53 mutations were seen in 83% of ECs that immunostained positive for mutant p53, with the most frequent TP53 mutations occurring in R248. Well-differentiated endometrioid tumors had elevated frequencies of PTEN and PIK3CA mutations compared to less differentiated tumors (p < 0.05). The mutation profiles of these samples are consistent with previous studies, supporting the viability of archival paraffin-embedded tissue in mutation detection. This study’s interdisciplinary approach to tumor characterization may help inform future development of personalized models for EC. Citation Format: Maxine Chen, Marta Crous-Bou, Michael J. Downing, Evan L. Busch, Kimberley Glass, Jennifer Prescott, George L. Mutter, Immaculata De Vivo. Mutation analysis of endometrial cancer in a population-based study by targeted next-generation sequencing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1291. doi:10.1158/1538-7445.AM2017-1291

Though more than 150 single nucleotide polymorphisms (SNPs) associated with prostate cancer have been identified through GWAS, we still do not understand the functional consequences of common genetic variation in this disease. Genetic variants may influence complex diseases like prostate cancer through gene expression. However, very large studies evaluating gene expression in prostate cancer are currently infeasible due to the limited availability of prostate cancer tissue and expense of collecting expression data. Alternative approaches have been developed to identify expression-trait associations in study populations without directly measured expression data. One such approach (Gusev et al. Nat Genet. 2016) uses a set of reference individuals with both gene expression and SNP data to develop genetic prediction models of gene expression values. These models are then used to impute cis genetic components of gene expression for a much a larger set of individuals with only genotype and phenotype information. We used Affymetrix gene expression microarray data from normal prostate and prostate tumor tissue and genotype data from prostate cancer patients in the Health Professionals’ Follow-up Study and the Physicians’ Health Study (N=187) as a reference panel for creating the predicted models of the genetic components of expression. We imputed gene expression values into Oncoarray GWAS summary statistics from the PRACTICAL consortium (N ~ 75,000) to assess the association between predicted expression and prostate cancer risk. We present the results of our transcriptome-wide association study in normal prostate and prostate tumor tissue, identifying genes significantly associated with prostate cancer risk after correcting for multiple testing. These genes may provide insight into how genetic variants influence prostate cancer through their effect on gene expression. Citation Format: Maxine Chen, Alexander Gusev, The PRACTICAL Consortium, Massimo Loda, Lorelei A. Mucci, Meir J. Stampfer, Peter Kraft, Kathryn L. Penney. Transcriptome-wide association study of prostate cancer risk [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1321. doi:10.1158/1538-7445.AM2017-1321

The morphology of dendrites and the axon determines how a neuron processes and transmits information. Neurite morphology is frequently analyzed by Sholl analysis or by counting the total number of neurites and branch tips. However, the time and resources required to perform such analysis by hand is prohibitive for the processing of large data sets and introduces problems with data auditing and reproducibility. Furthermore, analyses performed by hand or using course‐grained morphometric data extraction tools can obscure subtle differences in data sets because they do not store the data in a form that facilitates the application of multiple analytical tools. To address these shortcomings, we have developed a program (titled “Bonfire”) to facilitate digitization of neurite morphology and subsequent Sholl analysis. Our program builds upon other available open‐source morphological analysis tools by performing Sholl analysis on subregions of the neuritic arbor, enabling the detection of local level changes in dendrite and axon branching behavior. To validate this new tool, we applied Bonfire analysis to images of hippocampal neurons treated with 25 ng/ml brain‐derived neurotrophic factor (BDNF) and untreated control neurons. Consistent with prior findings, conventional Sholl analysis revealed that global exposure to BDNF increases the number of neuritic intersections proximal to the soma. Bonfire analysis additionally uncovers that BDNF treatment affects both root processes and terminal processes with no effect on intermediate neurites. Taken together, our data suggest that global exposure of hippocampal neurons to BDNF results in a reorganization of neuritic segments within their arbors, but not necessarily a change in their number or length. These findings were only made possible by the neurite‐specific Sholl data returned by Bonfire analysis. © 2010 International Society for Advancement of Cytometry

The receptor tyrosine kinase ErbB-2 plays an important role in the regulation of growth factor-induced signal transduction cascades in the epithelium, and ErbB-2 is frequently overexpressed in epithelial tumors. Our previous studies on clinical prostate cancer specimens indicated that ErbB-2 expression was increased in patients undergoing hormone ablation therapy. We had also shown that the critical cell cycle regulatory gene cyclin D1 and its promoter were targets of proliferative signaling in prostate cancer cell lines, and that cyclin D1 was required for ErbB-2-induced mammary tumorigenesis. In the current studies, we found that increased ErbB-2 membrane expression correlated with increased nuclear cyclin D1 staining in clinical prostate cancer specimens, and that expression of ErbB-2 was capable of inducing cell cycle progression in human prostate cancer cell lines. We further showed that ErbB-2 induced the cyclin D1 promoter in DU145 cells, and that small interfering RNA knockdown of cyclin D1 protein levels blocked a significant proportion of the heregulin-induced cell cycle progression in LNCaP cells. Probasin promoter-targeted expression of an activated ErbB-2 isoform induced cyclin D1 expression in the mouse prostate, commensurate with prostate intraepithelial neoplasia. Together, these in vitro and in vivo studies identify cyclin D1 as a critical downstream target of ErbB-2 in the prostate epithelium, both of which are possible therapeutic targets for cancer intervention. Furthermore, our novel mouse model provides a useful platform for ongoing in vivo investigations of ErbB-2 signaling in the prostate epithelium.

Temporal and spatial assembly of signal transduction machinery determines dendrite branch patterning, a process crucial for proper synaptic transmission. Our laboratory previously cloned and characterized cypin, a protein that decreases PSD-95 family member localization and regulates dendrite number. Cypin contains zinc binding, collapsin response mediator protein (CRMP) homology, and PSD-95, Discs large, zona occludens-1 binding domains. Both the zinc binding and CRMP homology domains are needed for dendrite patterning. In addition, cypin binds tubulin via its CRMP homology domain to promote microtubule assembly. Using a yeast two-hybrid screen of a rat brain cDNA library with cypin lacking the carboxyl terminal eight amino acids as bait, we identified snapin as a cypin binding partner. Here, we show by affinity chromatography and coimmunoprecipitation that the carboxyl-terminal coiled-coil domain (H2) of snapin is required for cypin binding. In addition, snapin binds to cypin's CRMP homology domain, which is where tubulin binds. We also show that snapin competes with tubulin for binding to cypin, resulting in decreased microtubule assembly. Subsequently, overexpression of snapin in primary cultures of hippocampal neurons results in decreased primary dendrites present on these neurons and increased probability of branching. Together, our data suggest that snapin regulates dendrite number in developing neurons by modulating cypin-promoted microtubule assembly.

Dendrite branching has an important role in normal brain function. Here we report that overexpression of cypin, a protein that has guanine deaminase activity and is expressed in developing processes in rat hippocampal neurons, results in increased dendrite branching in primary culture. Mutant cypin proteins that lack guanine deaminase activity act in a dominant-negative manner when expressed in primary neurons. Furthermore, we knocked down cypin protein levels using a new strategy: expressing a 5′ end-mutated U1 small nuclear RNA (snRNA) to inhibit maturation of cypin mRNA. Neurons that express this mutant snRNA show little or no detectable cypin protein and fewer dendrites than normal. In addition, we found that cypin binds directly to tubulin heterodimers and promotes microtubule polymerization. Thus, our results demonstrate a new pathway by which dendrite patterning is regulated, and we also introduce a new method for decreasing endogenous protein expression in neurons.