Zheng, Wei

Abstract Background SAR650984 (SAR) is a naked humanized IgG1 monoclonal antibody (mAb) that binds selectively to the human surface antigen CD38 highly expressed in multiple myeloma cells and other hematological malignancies. SAR kills tumor cells via 3 different biological mechanisms: Antibody-dependent cellular-mediated cytotoxicity (ADCC), complement-dependent cytotoxicity (CDC) and Induction of apoptosis (pro-apoptosis). Here we present preliminary data from the ongoing first in human, Phase I dose escalation study of SAR in patients with selected CD38+ hematological malignancies. (clinicaltrials.gov: NCT01084252) Objectives The primary objective is to determine the maximum tolerated dose (MTD). Secondary objectives include characterization of safety, pharmacokinetics (PK), pharmacodynamics (PD), immunogenicity and disease response. Methods SAR is administered as a single agent IV infusion every week (QW) or every 2 weeks (Q2W) to adult patients with selected CD38+ hematological malignancies who have progressed on or after standard therapy or for whom no effective standard therapy exists. An accelerated dose escalation schedule was used for the first 5 dose levels (DL) (0.0001 mg/kg to 0.1 mg/kg Q2W), with one evaluable patient per DL unless DLT was experienced. All subsequent DL (0.3 mg/kg, 1 mg/kg, 3 mg/kg, 5mg/kg, 10 mg/kg, 20 mg/kg Q2W and 10 mg/kg QW), followed the classic 3+3 design for dose escalation based on DLT. Results 32 patients have been treated across all DLs including 3 patients with NHL, 2 with CLL, and 27 with MM. The 20 mg/kg Q2W and 10 mg/kg QW DLs are currently being evaluated and the MTD has not been reached. DLTs have been limited to Grade (G) 2 infusion reactions during cycle 1 with 1 at DL 0.3 mg/kg and 1 at DL 3.0 mg/kg. This was mitigated by the implementation of routine pretreatment with methylprednisone, diphenhydramine, ranitidine and acetaminophen. The most frequent occurring adverse events (≥ 10%) all DL, regardless of causality, are fatigue (46.9%), nausea (31.3%), pyrexia (28.1%), cough (25%), vomiting (21.9%), hypercalcemia (18.8%), with headache, constipation, bone pain, chills and diarrhea each occurring in 15.6% of patients. In addition, pneumonia, anemia, dysgeusia and hypokalemia each occurred in 12.5% of patients. Serious adverse events considered related to therapy include G 3 pneumonia (6.3%) associated with fever (3.1%), hyperglycemia (3.1%) and one Grade 2 infusion reaction (3.1%). Of the 19 patients treated at DL 1.0 mg/kg to 10 mg/kg Q2W, 1 had CLL, 1 had NHL and 17 had MM. The 17 MM patients were older and heavily pretreated patients; median age of 64 years (range: 55-74); and median of seven prior regimens (range: 2-14). All MM patients had received prior lenalidomide and bortezomib. The median time from diagnosis to first SAR650984 dosing was 6. 8 years (range 1.8 – 16.8 years). Responses in this group (fig 1), according to EBMT MM criteria, included 1 PR at 1 mg/kg (n = 3) and 5 mg/kg (n=3), and 1 MR at DL 3 mg/kg (n = 6). The 10 mg/kg DL demonstrated 3 PR and 2 SD among 6 MM patients treated. For the 19 patients treated at or above the 1 mg/kg DL the median time on treatment is 8 weeks (range 2-50 weeks). Immunogenicity studies show no anti-SAR antibodies. Receptor Occupancy could be detected from DL 1 mg/kg and reached a range of 84.1 to 97.7 % at 10 mg/kg. PK analysis show a more than dose proportional increase of exposure over the 0.03 to 10 mg/kg dose range with clearance in a similar range between 5 mg/kg and 10 mg/kg. No accumulation was observed based on Cmax at cycle 2 over the 0.03 to 3 mg/kg dose range. Tumor growth inhibition threshold was reached at Cmax for 1 patient at DL 5 mg/kg and 5 patients at DL 10 mg/kg. Conclusion The safety profile of SAR is predictable and manageable and the MTD has not been reached. SAR demonstrates encouraging single agent activity in patients with heavily pretreated RRMM and warrants further evaluation in this patient population. Disclosures: Zheng: sanofi: Employment. Daskalakis:sanofi: Employment.

Abstract Background: Large-scale genome-wide association studies (GWAS) have identified ~35 loci associated with epithelial ovarian cancer risk. However, these genetic loci together explain only a small portion of the heritability of this malignancy. The large majority of the GWAS-identified variants are located in non-coding regions, thus possible causal genes in these loci remain largely unknown. We performed a transcriptome-wide association study (TWAS) to search for novel genetic loci for ovarian cancer risk and plausible causal genes at GWAS-identified loci. Method: Transcriptome data from normal ovarian tissue samples (n=68) and all tissue samples (n = 369), along with their high-density genotyping data, obtained from only European descendants included in the Genotype-Tissue Expression Project (GTEx), were used to build ovarian linear prediction models and cross-tissue models (to increase statistical power) using the elastic net method. Based on model performance, we evaluated 17,121 genes for their cis-predicted gene expressions in relation to ovarian cancer risk using summary statistics data generated in GWAS of ovarian cancer from 25,509 cases and 40,941 controls. MetaXcan was used to integrate gene expression prediction model with summary statistics. Results: We identified 35 genes with predicted expression levels associated with ovarian cancer risk at P value < 2.2 × 10-6, the Bonferroni corrected significance level for multiple comparisons. Of these, 12 genes at 4 genetic loci are located ≥500kb away from risk SNPs previously reported in GWAS, representing potential novel genetic loci for ovarian cancer risk. The remaining 23 genes at 12 loci are located within known ovarian cancer risk loci. Fifteen of these genes at the 12 loci have not been reported in previous studies. Analyses by ovarian cancer histological subtypes showed that the majority of these 35 genes are associated with serous invasive carcinoma. Several new associations were identified in histological subtype analyses. Conclusion: In this TWAS we identified multiple genes with predicted expressions related to ovarian cancer risk and provide substantial new information to enhance the understanding of ovarian cancer biology and genetics. Citation Format: Yingchang Lu, Joellen M. Schildkraut, Thomas A. Sellers, Lang Wu, Xingyi Guo, Bingshan Li, Y. Ann Chen, Jennifer B. Doherty, Simon Gayther, Ellen L. Goode, Hae Kyung Im, Siddhartha Kar, Kate Lawrenson, Ani W. Manichaikul, Jennifer B. Permuth, Brett M. Reid, Jamie K. Teer, Paul Pharoah, Wei Zheng, Jirong Long. Transcriptome-wide association study among 66,450 women to identify candidate susceptible genes for ovarian 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 1308. doi:10.1158/1538-7445.AM2017-1308