Citations

Abstract Background: Overexpression of COX-2 has been associated with worse outcome in NSCLC. In C30203, we found that administration of the selective COX-2 inhibitor celecoxib in addition to chemotherapy in advanced NSCLC improved outcome (progression free and overall survival, PFS, OS) in pts with moderate to high COX-2 expression by immunohistochemistry (IHC). C30801 was designed to prospectively confirm that finding. Patients and Methods: Pts with NSCLC (stage IIIb with pleural effusion, IV 6th ed) were pre-registered and biopsy specimens analyzed for COX-2 by IHC. Pts with COX-2 expression > or = 2, PS 0-2 and normal organ function were eligible. Chemotherapy was determined by histology: carboplatin (AUC = 6), pemetrexed (500 mg/m2) d 1, q21 days for pts with non-squamous NSCLC; carboplatin(AUC=5.5) d1, gemcitabine (1000 mg/m2) d 1,8 for pts with squamous histology. Randomization was to celecoxib (400 mg bid) (Arm A) or placebo (Arm B). The primary endpoint was to demonstrate improvement in PFS in patients with COX-2 index >=4 with hazard ratio of 0.645. Results: The study was halted by the DSMB for futility after 312 of the planned 322 pts were randomized. The current analysis is based upon the first 300 pts. There were no significant differences between the groups (Table). There was a possible harmful effect for COX-2 inhibition in the COX-2 2-3 subset (OS HR = 1.75, p =.0977). Toxicity was similar for both arms. Subset analyses evaluating histology, chemotherapy regimen, incremental COX-2 expression did not demonstrate any advantage for COX-2 inhibition. Conclusions: 1. COX-2 expression by IHC failed to select pts who could benefit from selective COX-2 inhibition. 2. COX-2 inhibition did not significantly increase toxicity associated with chemotherapy or increase cardiovascular morbidity. 3. We will evaluate other possible determinants of toxicity and response to COX-2 inhibition. OutcomeArm AArm BCOX-2 2-3 (n=37)COX-2 > or = 4 (n=111)COX-2 2-3 (n=46)COX-2 > or = 4 (n=106)PFS (months)4.404.934.606.11OS (months)9.0310.5814.8512.68 Citation Format: Martin J. Edelman, Xiaofei Wang, Lydia Hodgson, Richard T. Cheney, Maria Baggstrom, Thomas Sachdev, Ajeet Gajra, Erin Bertino, Karen Reckamp, Julian Molina, Joan Schiller, Kisha Mitchell-Richards, Paula Friedman, Jon Ritter, Everett Vokes, Alliance for Clinical Trials in Oncology. Phase III randomized, placebo controlled trial of COX-2 inhibition in addition to standard chemotherapy for advanced non-small cell lung cancer (NSCLC):CALGB 30801 (Alliance). [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr CT238. doi:10.1158/1538-7445.AM2014-CT238

Abstract Background: I-SPY 2 is a multicenter, phase II neoadjuvant trial in women with high-risk stage II/III breast cancer using adaptive randomization within biomarker subtypes to evaluate novel agents added to standard chemotherapy. Primary endpoint is pathologic complete response (pCR). Goal is to identify regimens that meet a high Bayesian predictive probability of statistical significance in a neoadjuvant 300-patient phase III trial defined by hormone-receptor (HR), HER2 status, and MammaPrint (MP). Experimental regimens may “graduate” in 1 of 10 signatures, with a maximum of 120 patients. We report efficacy results for neratinib (N). Methods: Tumors ≥2.5cm by clinical exam & ≥2cm by imaging are eligible for screening. MP low risk/HR+/HER2- tumors are ineligible for randomization. Patients receive chemotherapy (paclitaxel qwk x 12, doxorubicin and cyclophosphamide q2-3 wk x 4, T->AC). HER2- pts were randomized to N+T->AC vs. T->AC and HER2+ pts to N+T->AC vs. trastuzumab+T->AC. Analysis is intent-to-treat with pts who switch to non-protocol therapy regarded as non-pCRs. We provide estimated pCR rates (95% Bayesian probability intervals), probabilities of superiority of neratinib over control, and Bayesian predictive probabilities of success in an equally randomized phase III trial. Results: Neratinib met the predictive probability criterion in HR-/HER2+, “graduated”, and accrual ceased [115 N patients (65 HER2+), 78 concurrently randomized controls (22 HER2+)]. The table shows results for all 10 signatures. Two patients (1 N and 1 control) withdrew consent and are not included. Conclusion: I-SPY 2's standing trial mechanism efficiently evaluates agents in biomarker-defined patient subsets. In a modest number of patients, adaptive randomization successfully identified a biomarker signature (HR-/HER2+) for neratinib's further development. All HER2+ and MP+ tumors may also benefit from this regimen, consistent with preclinical data. Evaluation in I-SPY 3, a phase III registration trial, is planned. SignatureEstimated pCR Rate (95% probability interval)Probability NeratinibIs Superior to ControlPredictive Probability of Success in Phase IIINeratinibControlALL32% (28-36%)23% (19%-28%)92%44%HR+23% (18%-28%)17% (11%-22%)81%40%HR-43% (37%-49%)31% (24%-38%)89%53%HER2+39% (33%-45%)23% (15%-30%)95%73%HER2-26% (21%-32%)24% (18%-29%)63%20%MP+*45% (38%-53%)29% (20%-39%)91%66%HR-/HER2-36% (29%-43%)30% (23%-38%)72%34%HR-/HER2+55% (46%-64%)32% (22%-43%)94%78%HR+/HER2+31% (24%-37%)17% (10%-24%)91%65%HR+/HER2-14% (8%-19%)16% (10%-21%)39%12%* MammaPrint 44K Array Low/High score was adjusted to MammaPrint High1 (MP-) or High2 (MP+), using a pre-defined median cut-point of I-SPY 1 participants, who fit the eligibility criteria of I-SPY 2. Citation Format: John W. Park, Minetta C. Liu, Douglas Yee, Angela DeMichele, Laura van 't Veer, Nola Hylton, Fraser Symmans, Meredith B. Buxton, A. Jo Chien, Amy Wallace, Michelle Melisko, Richard Schwab, Judy Boughey, Debashish Tripathy, Hank Kaplan, Rita Nanda, Stephen Chui, Kathy S. Albain, Stacy Moulder, Anthony Elias, Julie E. Lang, Kirsten Edminston, Donald Northfelt, David Euhus, Qamar Khan, Julia Lyandres, Sarah E. Davis, Christina Yau, Ashish Sanil, Laura J. Esserman, Donald A. Berry. Neratinib plus standard neoadjuvant therapy for high-risk breast cancer: Efficacy results from the I-SPY 2 TRIAL. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr CT227. doi:10.1158/1538-7445.AM2014-CT227

Abstract Background: Previous data on the relationship between PD-L1 expression and activity of anti-PD-1 and anti-PD-L1 antibodies have been conflicting. MK-3475, a humanized monoclonal IgG4 antibody against PD-1, has demonstrated durable antitumor activity in MEL and NSCLC. We evaluated tumor PD-L1 expression and its relationship with outcomes in a phase I clinical trial of MK-3475. We also evaluated T cell activation as a pharmacodynamic marker of MK-3475 activity. Methods: 135 MEL pts received MK-3475 10 mg/kg Q2W, 10 mg/kg Q3W, or 2 mg/kg Q3W. Tumor response was assessed by RECIST 1.1 per independent central review, including requirement for a confirmatory CT scan. Pretreatment biopsy was required. Serial blood samples were collected before infusion at the start of cycles 1-5 (Q2W dosing) or 1-4 (Q3W dosing). Tumor PD-L1 expression was assessed by IHC. A preliminary cutoff of 1% of stained cells was used to define PD-L1 positivity. Absolute CD4+ and CD8+ T cell counts and the percentage of activated (HLA-DR as marker) CD4+ and CD8+ T cells in peripheral blood were assessed by multiplex flow cytometry (n = 101). Results: Median PFS was 36 weeks, 6-month overall survival (OS) rate was 89%, and 12-month OS rate was 81%. Median duration of response and OS were not reached. In the 116 pts with measurable disease, ORR was 41%. PFS and response rate were significantly associated with tumor PD-L1 expression (Table). At week 6, a statistically significant percent increase from baseline in the percentage of activated (HLA-DR+) CD4+ and CD8+ T cells was observed at all doses (pooled mean percent change [SE], +24.0% [4.7%] for HLA-DR+/CD8+, +17.5% [2.7%] for HLA-DR+/CD4+). Conclusions: Tumor PD-L1 expression levels were associated with tumor response and PFS in MEL pts treated with MK-3475; activity was also observed in pts with low PD-L1 expression. As assessed by HLA-DR expression, post-treatment T cell activation in the circulating pool was increased at all doses tested. Patients WithMeasurable Disease and Interpretable PD-L1 IHC ResultsPatients With InterpretablePD-L1 IHC Results and PFS and OS Data PD-L1 TumorExpressionNORR, n (%)NPFS at 6 months, % (95% CI)Median PFSOS at 6 months, % (95% CI)Median OSPositive (membrane staining in ≥1% of cells)5529 (53)6058 (47-72)10.6 mo93(87-100)Not reachedNegative (membrane staining in <1% of cells)161* (6)2232 (16-64)2.9 mo75(58-97)Not reachedHR (95% CI) for PD-L1-positive vs negative____0.54(0.28-1.05)_0.67(0.25-1.83)One-sidedP value(PD-L1 association test)_<0.004 (logistic regression)__0.034(Cox regression)_0.220(Cox regression)*IPI-pretreated patient who received MK-3475 10 mg/kg Q2W. Citation Format: Adil I. Daud, Omid Hamid, Antoni Ribas, F. Stephen Hodi, Wen-Jen Hwu, Richard Kefford, Jedd Wolchok, Peter Hersey, Jeffrey S. Weber, Richard Joseph, Tara C. Gangadhar, Roxana S. Dronca, Amita Patnaik, Hassane Zarour, Anthony M. Joshua, Kevin Gergich, Dianna Wu, Jared K. Lunceford, Kenneth Emancipator, Marisa Dolled-Filhart, Nicole Li, Scot Ebbinghaus, S. Peter Kang, Caroline Robert. Antitumor activity of the anti-PD-1 monoclonal antibody MK-3475 in melanoma(MEL): Correlation of tumor PD-L1 expression with outcome. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr CT104. doi:10.1158/1538-7445.AM2014-CT104

Abstract Human papillomavirus (HPV) appears to be responsible for dramatic increases in the incidence of oropharyngeal squamous cell carcinoma (OPSCC) in the United States in the last two decades, in spite of decreases in the incidence of smoking. It is generally assumed that the role of HPV in the development of OPSCC is identical to the one that it plays in cervical cancer where HPV infection followed by integration into the host genome and the subsequent increased expression of the E6 and E7 oncoproteins leads to increased genomic instability. The common fragile sites (CFSs) are highly unstable chromosomal regions that will be particularly sensitive to increased genomic instability and they are also hot-spots for viral integrations in cervical cancer. The CFS regions span many megabases and many of them also span extremely large genes, a number of which have been demonstrated to function as important tumor suppressors. We therefore examined the expression of very large genes in OPSCC. An analysis of RNAseq data generated on 11 OPSCCs and matched normal oropharyngeal tissue from the same patients revealed that some of the tumors had greatly decreased expression for many of the largest genes. The two genes with the greatest decreases in expression in the tumors as compared to matched normal were the known tumor suppressor PARK2 and the putative tumor suppressor DLG2, but three other large CFS genes: CTNNA3, LRP1B and DMD, and one large gene not yet precisely localized within a CFS region: PDE4D, also had much more decreased expression than any of the other large genes. Real-time RT-PCR was used to measure the expression of these six genes in a much larger number of OPSCC tumor-normal pairs. The expression of these six genes was concordant in most OPSCCs. An individual tumor generally had either decreased expression of these six genes, no changes in the expression of these genes or increased expression of all six genes. When the tumors were grouped with respect to which ones were HPV-positive or HPV-negative we observed that 40% of the HPV-positive OPSCCs had greatly decreased expression (more than 100-fold) for all six genes. Half of the HPV-negative tumors had decreased expression of these six genes, but the amount of decreased expression was much more modest (4-16 fold). Most exciting, however was that 7 of the 12 HPV-positive tumors, and three of the four of the HPV-negative patients that had decreased expression of these genes were from patients who had tumor recurrence. In contrast only one of 18 patients whose tumors did not have decreased expression of the large genes had tumor recurrence. The loss of expression of multiple large genes, many of which are derived from CFS regions, could thus be a powerful predictor for which patients will have tumor recurrence. These results also suggest a linkage between HPV-induced chromosomal instability and dramatic decreases in the expression of multiple CFS genes in some OPSCCs. Citation Format: David I. Smith, Ge Gao, Nicole Tombers, Jan Kasperbauer, Vivian Wang. Human papillomavirus and the inactivation of expression of multiple large common fragile site genes in oropharyngeal squamous cell carcinoma. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 582. doi:10.1158/1538-7445.AM2014-582

Abstract Background: Specific germline alterations within the TERT, EGFR, CCDC26, CDKN2A/B, PHLDB1, TP53 and RTEL1 regions are associated with development of glioma. While some of these germline variants are associated with all gliomas (e.g. rs2736100 in TERT), others are associated with a specific morphologic and/or molecular subtype. For example, the RTEL1 region variants are associated with primary glioblastoma and rs55705857 in CCDC26 is associated with 1p/19q co-deleted oligodendrogliomas and with IDH mutant astrocytic gliomas. We hypothesized that germline variants in these regions will be associated with other molecular subtypes. The Cancer Genome Atlas (TCGA) and other groups have described molecular subtypes of glioma based on acquired somatic mutation patterns. Herein, we grouped glioma patients into mutation-based molecular subgroups based on three molecular alterations and determined if germline polymorphisms are associated with these mutation-based molecular subtypes. Methods: Five molecular subtypes were defined based on combinations of the following molecular alterations: TERT promoter mutation (TERTmut vs. TERTwt), IDH1/2 mutation (IDH mut vs. IDH wt) and 1p/19q co-deletion (1p19qcodel vs. 1p19q noncodel). Germline single nucleotide polymorphisms (SNPs) were evaluated by custom Illumina array analysis of blood-derived DNA and 1K genome imputation. Results: One hundred ninety-nine gliomas (24 oligodendrogliomas, 59 mixed oligoastrocytomas, 41 grade 2-3 astrocytomas and 75 glioblastomas) had both SNP data and mutation data available in order to assign them into the five molecular subgroups. The prevalence of each of the molecular subtypes was as follows: TERTmut/IDHmut/1p19qcodel (20%), TERTmut/IDHmut/1p19qnoncodel (5%), TERTmut/IDHwt/1p19qnoncodel (32%), TERTwt/IDHmut/1p19qnondel (35%) and TERTwt/IDHwt/1p19qnoncodel (8%). The TERT SNP (rs2736100) was protective for TERTmut/IDHmut/1p19qnoncodel and TERTwt/IDHmut/1p19qnoncodel gliomas. The CCDC26 SNP (rs55705857) was strongly associated with the risk of developing TERTmut/IDHmut/1p19qcodel and TERTwt/IDHmut/1p19qnoncodel gliomas. The TP53 SNP (rs7837822) was strongly associated with risk of developing TERTmut/IDHmut/1p19qnoncodel and TERTwt/IDHmut/1p19qnoncodel gliomas. Interestingly, while one RTEL1 region SNP (rs6062297) was strongly associated with glioma risk, RTEL1 SNPs rs6010620 and rs2297440 were protective for the development of TERTmut/IDHwt/1p19qnoncodel gliomas. We are currently in the process of validating these results using the TCGA glioblastoma and low grade glioma data. Conclusions: Glioma patients can be meaningfully classified according to their acquired mutation subtype. Importantly, our results suggest that there are significant associations between germline polymorphisms and mutation-based glioma molecular subtypes. Citation Format: Jeanette E. Eckel-Passow, Thomas M. Kollmeyer, Gobinda Sarkar, Anisha Chada, Paul A. Decker, Matthew L. Kosel, Alissa A. Caron, Hugues Sicotte, Kannabiran Nandakumar, Naresh Prodduturi, Brian P. O'Neill, Daniel H. Lachance, Robert B. Jenkins. The association of glioma germline risk SNPs with mutation-based molecular subgroups. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4714. doi:10.1158/1538-7445.AM2014-4714

Abstract Oncolytic replication competent viruses are increasingly being tested in clinical trials. Their optimal use would be greatly facilitated by technologies that enable repeated and quantitative estimation of the location and population size of the virus as it propagates within the tumor. To address this, we have generated two replication competent measles viruses (MV) that express the thyroidal sodium iodide symporter (NIS) in injected cells. One virus, MV-NIS is in Phase 1 clinical trials and kills cells by formation of syncytia. The second virus, MV-I98A-NIS has a mutation in the MV hemagglutinin protein that prevents syncytium formation and kills cells by lysis. Cells infected with MV-I98A-NIS remain viable for longer compared to MV-NIS and are expected to express higher concentrations of NIS, facilitating in vivo imaging. BxPC-3 human pancreatic carcinoma cells were implanted in the flank of nude mice. Subsequently, the mice were injected with Opti-MEM (control), MV-NIS or MV-I98A-NIS (1x107 TCID50/ml) via the tail vein. On days 3, 5, 8, 10, 12, 15, 17 and 19 after virus injection, mice from the control, and virus injected groups were imaged with SPECT/CT (U-SPECT II) 1 hour after injection of 99mTc. Immediately afterwards, the mice were euthanized, the tumors excised, weighed and isotope activity measured. The tumors were divided into parts for histologic analysis and RNA extraction. NIS gene expression was determined by Q-RT-PCR and immunohistochemistry, while viral genome copy number was determined by Q-RT-PCR for the nucleoprotein (N). Image analysis using ROI was performed using AMIDE with background correction across all imaging planes. There was no correlation between tumor mass (volume) and isotope uptake (R2=0.0001 and 0.0051 for MV-NIS and MV-I98A-Nis respectively) suggesting that isotope uptake was strictly linked to virus infection. There was a strong, linear correlation between the levels of virus dependent NIS expression and isotope activity within the tumor (R2=0.79 and 0.93 for MV-NIS and MV-I98A-NIS respectively). Tumors infected with MV-I98A-NIS had a higher concentration of isotope compared with MV-NIS (p<0.004) and a higher correlation coefficient of NIS isotope uptake versus NIS expression (14.1 mCi/NIS copies/ng RNA versus 11.5, p=0.003), compatible with the observation that tumor cells infected with MV-I98A-NIS remain viable for longer compared to MV-NIS. Activity within tumors increased as a function of time, compatible with ongoing virus replication and spread within the tumors. Correlation of imaging studies with NIS expression and viral genome copy number is ongoing. Our preliminary studies suggest that in vivo imaging can be used to accurately determine the size of the oncolytic virus population within a tumor as a function of time. These observations will be used to understand the dynamics of virus spread within tumors and optimize therapy. Citation Format: Mi-Yeon Jung, Matthew K. Ennis, Chetan P. Offord, David Dingli. Quantitative in vivo imaging of oncolytic virus replication. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4947. doi:10.1158/1538-7445.AM2014-4947

Abstract Background ETS gene fusions and PTEN loss are the most common genomic alteration events in prostate cancer that stratify patients into molecularly distinct subtypes. Recently, a commercially available genomic classifier (GC, DecipherTM) has been validated to predict metastasis in patients with high-risk prostate cancer. In this study we evaluated the robustness of the GC model in the light of prostate cancer molecular heterogeneity. Methods: Analysis of PTEN expression loss, ERG overexpression and GC scores were performed on a previously reported genome-wide microarray dataset (Karnes et al., 2013). Microarray probesets mapping to exons of PTEN were benchmarked to identify a representative exon whose loss of expression was highly correlated to FISH analysis for PTEN deletion (PTEN-loss) performed on an independent dataset. ERG overexpression (ERG+) was determined similarly and the microarray probesets that best correlate with the FISH status (in independent dataset) were used to annotate the ERG status of the samples in this study. Receiver operating characteristic area under the curve (AUC), and multivariable regression analysis were used to assess GC performance for predicting metastasis in subsets of patient tumors with genomic alterations. Results Using the microarray method 42% of the tumors had ERG overexpression, 23% had PTEN-loss and 11% had both events. ERG+ and PTEN-loss were not on their own predictive of metastasis with AUCs of 0.52 (CI:0.44-0.6) and 0.47(CI 0.39-0.56), respectively. In ERG+ tumors GC had an AUC of 0.82 (p=4e-7) and high GC score ERG+ patients had a hazard ratio (HR) of 100 (p=6e-7) for metastasis. Similarly, in PTEN-loss tumors GC had an AUC of 0.83 (p=7.9e-5) and high GC score PTEN-loss patients had an HR of 62 (p=1.8e-4) for metastasis. When GC was evaluated in patient tumors with both ERG+ and PTEN-loss the AUC was 0.85 (p=2e-15) and high GC score patients had an HR of 95 (p=4e-4) for metastasis. In multivariable analysis, Decipher was the only significant risk factor with an HR of 55 (CI 12.2-249, p=1.8e-7) for metastasis after adjusting for ERG+, PTEN-loss, Gleason score, PSA, tumor stage, margins and adjuvant treatment. Conclusion The Decipher genomic classifier is a powerful prognostic marker that retains its significance for predicting metastasis in subsets of patients with tumors that harbor common genomic alterations. Patients with high GC scores and these alterations may represent an extremely high-risk subset of prostate cancer. Citation Format: Mohammed Alshalalfa, Ismael Vergara, Nicholas Erho, Elai Davicioni, Robert Jenkins, Kollmeyer Thomas. Evaluation of a genomic classifier (Decipher®) in subsets of primary tumors with common prostate cancer genomic alterations. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4720. doi:10.1158/1538-7445.AM2014-4720

Abstract Background: Whole genome/exome/RNA sequencing has revolutionized the ability to assess the genomic landscape of cancer and is increasingly being utilized for clinical decision-making. Initial clinical applications have been constrained by specimen quantity, analyte quality and the time from sample acquisition to results report. Methods: Patients with advanced cancers underwent surgical resection, excisional/core biopsies, or bone marrow biopsy. Samples were analyzed by whole genome or exome sequencing in addition to RNA sequencing, bioinformatics analysis, and therapeutic target prioritization by a multi-disciplinary Clinical Genomics Board. All prioritized targets were CLIA validated using Sanger sequencing, RT-qPCR, FISH, or IHC as appropriate. Treatment was delivered using off-label FDA approved drugs, clinical trials, or single patient INDs. Results: We have enrolled 40 patients for whom sequencing data is available on 33. The initial 6 patients were evaluated in a non-CLIA pilot phase and 27 in a CLIA-enabled phase. Tumor types in the CLIA-enabled phase with the highest enrollment were pancreatic cancer (n=8) and cholangiocarcinoma (n=8). We sought to quantify the targets identified along with clinical benefit, defining these as the “Actionable Index” (AI) (proportion of patients with ≥ 1 putative drug target) and “Utility Index” (UI) (proportion of patients who derive clinical benefit). Putative therapeutic targets were identified in 7/8 (AI=0.88) cholangiocarcinoma (CC) patients and in 5/8 (AI=0.63) pancreatic cancer (PC) patients. All 3 CC patients who received target directed treatment achieved a partial response (UI=0.38). In contrast, none of the 4 PC patients who received target directed therapy had treatment response (UI=0.0). Interestingly no actionable targets were identified in 1 CC and in 2 PCs. One CC with an identified target was unable to access the drug and subsequently died. A CC patient and a PC patient, each with identified targets, expired prior to the initiation of therapy. Conclusions: While whole genome/exome/RNA sequencing is providing unparalleled detail of tumor genomes, the application to the clinic must be carefully considered. Actionability of targets will eventually need to be defined in close relation to eventual clinical utility and appropriate refinements to disease-gene-drug databases implemented. Preliminary observations in pancreatic cancer and cholangiocarcinoma demonstrate disparity in correlation between utility indices and actionable indices. Application of these tools in larger cohorts and types of tumors will need to be conducted to ascertain more precise estimates. Additional measures that are organ-site agnostic but pertain to specific targets (e.g. BRAF) will also need to be developed in order to facilitate more judicious application of sequencing in the clinical setting. Citation Format: Jan B. Egan, Alan H. Bryce, Mia D. Champion, Winnie S. Liang, Rafael Fonseca, Ann E. McCullough, Michael T. Barrett, Katherine Hunt, Rachel M. Condjella, Robert R. McWilliams, Stephen D. Mastrian, Janine LoBello, Daniel Von Hoff, David W. Craig, A. Keith Stewart, John D. Carpten, Mitesh J. Borad. Indices of actionability and clinical utility in a CLIA-enabled study of whole genome/exome/RNA sequencing in 33 cancer patients: Actionable vs. utility. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4694. doi:10.1158/1538-7445.AM2014-4694

Abstract Background: Breast cancer recurrence has been shown to differ based upon CYP2D6 genotype and endoxifen (Endx) exposure following treatment with tamoxifen (TAM) in the adjuvant setting. The average Endx Css is 29 nM (range, 2-80 nM) in TAM treated patients at a dose of 20 mg/day. Administration of Endx itself to patients is predicted to provide adequate, consistent, active drug levels in all treated patients, resulting in clinical benefit. As part of two phase 1 trials of oral Endx to determine the safety, tolerability, and MTD, we characterized the pharmacokinetics and in vivo metabolism of Endx. Methods: Patients were given escalating daily oral doses of Endx (28 day cycle) over the dose range of 20 - 160 mg/day in Phase I trials at the Mayo Clinic and NCI. Pharmacokinetics sampling was performed on days 1, 7, 14 and 28, and prior to subsequent cycles. Endx plasma concentrations and metabolite profiles were determined by HPLC and LC/MS/MS. Results: 44 patients with ECOG PS 0-1 have been enrolled to date encompassing 8 dose levels in the Mayo (25 women with AI refractory MBC; median age 58 yrs, range 41-83 yrs) and NCI (19 women with ovary (9), breast (4), desmoid (2), fallopian tube (2), endometrial cancer (2); median age 64 yrs, range 43-75 yrs) studies. Day 1 Endx peak concentrations (Cmax) were reached 4h after the Endx oral dose and mean values of Cmax, C24h, and AUC0-24h increased in proportion to dose. Css was achieved on day 7 and 3.5-fold accumulation (t1/2= 50.5 h) was observed on day 28. At the starting dose ( 20 mg/day) and highest dose level (160 mg/day), Endx Css values of 146 ng/ml (390 nM) and 1950 ng/ml (5200 nM), respectively, were achieved and maintained throughout the 28-day treatment. Endx Css values remained unchanged following continuous dosing for 8-10 months. The mean apparent steady-state clearance was 6.2 L/h. We also characterized the Endx metabolite profile in patient plasma and urine. Metabolites detected in plasma include nor-Endx, N-hydroxy-Endx, Endx-catechol, methoxy-Endx catechol, and Endx-glucuronide, and appear in amounts much lower compared to Endx. Like the parent drug, metabolites accumulated in plasma over the 28-day cycle. Characterization of the pharmacokinetics of Nor-Endx, a putative aromatase inhibitor, is ongoing and will be presented. Conclusion: In these ongoing Phase I studies, daily administration of Endx is well tolerated with Css consistently above those obtained following administration of standard dose tamoxifen. In the Mayo study, expansion at 20 and 100 mg/day has commenced to perform translational studies and further characterize Endx PK. In the NCI study, dose escalation continues to establish the maximum tolerated dose. Supported in part by R01CA 133049, U01 CA69912, P30CA 15083, P50CA 116201 and NCI Contracts CM52206 and HHSN261201100014C. Citation Format: Joel M. Reid, Matthew P. Goetz, Shivaani Kumar, Renee M. McGovern, Sarah A. Buhrow, Stephanie L. Safgren, Vera J. Suman, Travis J. Docktor, Charles Erlichman, Howard Streicher, James H. Doroshow, Jerry Collins, Matthew M. Ames. Pharmacokinetics and in vivo metabolism of Z-endoxifen: Results from two phase I studies in women with ER+ breast cancer, gynecologic malignancies and desmoids. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4631. doi:10.1158/1538-7445.AM2014-4631

Abstract Drug delivery to glioblastoma multiforme (GBM) is influenced by the presence of blood-brain barrier (BBB). PI3K/mTOR/AKT is frequently dysregulated in GBM and some agents targeting this pathway have limited distribution across the BBB due to activity of efflux transporters p-glycoprotein (P-gp) and breast cancer resistance protein1 (BCRP1). GNE-317 and GDC-0980 are structurally related PI3K/mTOR inhibitors with the former molecule optimized for brain delivery. Here the influence of the BBB on tumor distribution and resultant efficacy was evaluated in flank and intracranial tumors. Pharmacokinetic-pharmacodynamic approaches were used in GBM10 (patient-derived) and U87 (cell line) orthotopic xenograft models to evaluate the influence of delivery on efficacy. We investigated the brain distribution of GNE-317 and GDC-0980 in tumor-bearing (GBM10 and U87) athymic nu/nu mice and non-tumor-bearing (FVBn) mice. BBB-integrity in both GBM10 and U87-models was evaluated using Texas-Red(TR)-linked 3kD dextran prior to euthanasia. GNE-317 and GDC-0980 were administered orally at 30mg/kg and 7.5mg/kg, respectively, for all studies. Brain distribution studies were performed in FVB-wild type (WT) and P-gp/Bcrp knockout mice (TKO) and brain and plasma exposures (area-under-curve, AUC) were determined. Comparison of tumor pharmacokinetic-pharmacodynamic endpoints at 1- and 6-hr post single oral dose will be reported. GBM10 showed heterogeneous disruption of BBB-integrity, while U87 tumors exhibited homogenous and uniform disruption of BBB by analysis of TR-dextran accumulation within orthotopic xenografts. The brain-to-plasma AUC0-tlast ratio in FVBn-wild type was ∼10-fold higher in GNE-317(0.75) vs. GDC-0980 (0.07). Survival studies in intracranial tumors with U87 demonstrated no difference in survival between the GNE-317 vs. GDC-0980 treated groups (median survival∼26 days (GNE-317), 34 days(GDC-0980), p=0.07), and both treatments significantly extended survival compared to vehicle control (p<0.0003, ∼12 days). Survival with GNE-317 in GBM10 xenografts (median survival 42 days vs. 35 days for control, p<0.0003) was greater than the GDC-0980 treated group (median survival 32 days vs. 35 days in control, p=0.79); both treatments were not significantly different from each other (p=0.08). To evaluate the relative efficacy in the complete absence of the BBB, the effects on tumor growth are being evaluated in flank tumor models. These studies demonstrate that efficacy of a PI3K/mTOR inhibitor with low brain penetrance (GDC-0980) is marginally inferior to the related brain penetrant GNE-317 in tumor models with a partially intact BBB. Since GBM patients have regions of intact BBB, these data suggest that the brain penetration of targeted agents may be a critical factor that determines treatment efficacy in patients. Citation Format: Rajneet K. Oberoi, William F. Elmquist, Rajendar Mittapalli, Jenny Pokorny, Jann Sarkaria. Influence of the blood-brain barrier on drug distribution and efficacy of PI3K/mTOR inhibitors. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4479. doi:10.1158/1538-7445.AM2014-4479