Immunomodulatory drugs (IMiDs) are profoundly active compounds in the treatment of patients with multiple myeloma (MM). However, despite the fact that treatment with IMiDs has dramatically improved survival for patients with MM, the majority of MM patients develop IMiDs resistance over time. We have found that expression of functional cereblon is required for IMiDs′ action. In addition, it has been reported that cells expressing high levels of cereblon are resistant to proteasome inhibitor, implying that patients with high levels of cereblon should be resistant to proteasome inhibitor. If the above conclusions are correct, cereblon could be considered as a biomarker to determine which standard regimens should be used to treat patients with MM. Unfortunately, the conclusions mentioned above have not been clinically confirmed. In order to confirm these conclusions, we have generated three highly specific mouse monoclonal antibodies (mAbs) against full-length human cereblon. These mAbs can be used to do western blot, immunoprecipitation and immunohistochemistry staining. In addition, their epitopes have been precisely determined and the peptides covering their epitopes completely blocked the antibody binding to cereblon in western blot analysis or in immunohistochemistry staining of MM patients′ specimens.
Abstract 961: Inhibitors of fibrosis and TGF-beta delay tumor xenograft growth and reduce ascites in ovarian cancer models
Abstract Background: Most ovarian cancer (OC) patients present with advanced disease and ultimately develop chemo-resistant relapses. Stroma plays a significant role in OC behavior including invasiveness, fibrosis and chemoresistance. TGF-β is important for crosstalk between stroma and cancer cells, and stromal activation in cancer has similarities to matrix remodeling in fibrosis. We have shown that TGF-β and fibrosis-inhibitors can suppress OC cell proliferation, migration and invasion. Such inhibitors are available for clinical use, and we have begun to test their efficacy in OC in vivo. Methods: Animal experiments were approved by Mayo Clinic IACUC. Intraperitoneal xenograft models were derived from OVCAR8 (5×106) cells (OV8-CDX) or 0.1 gm OC patient tumor tissue (PDX) in NSG mice. OV8-CDX and PDX PH003 (an aggressive, chemoresistant and ascites-prone model) (n=5-10 mice/arm) were treated with 2 agents and compared to untreated controls (C): 1) C vs. the fibrosis inhibitor Pirfenidone (P, 200 mg/kg, BID, provided by Genentech); 2) C vs. TGF-β receptor I inhibitor Galunisertib (G, 75 mg/kg, BID, provided by Eli Lily). Mice were pretreated for 2 days before xenografting and treated for 4 weeks with ultrasound (US) to measure tumor growth. At day (d) 28, we i) collected tumor (OV8-CDX); or ii) observed until progression (PH003, PH053). OV8-CDX tumors were used for target gene analysis. Results: P treatment delayed tumor growth in OV8-CDX relative to control (C): tumors established in 0/5 (P) vs. 1/5 (C), and 1/5 (P) vs. 4/5 (C) of mice at d14 and d28, respectively. The reduced tumor weight (g) at d28 was also confirmed (0.20±0.10 vs. 0.54±0.23, p=0.02). Similarly, P treatment in PH003 inhibited the tumor growth (tumor area (cm2) at d28: 0.74±0.43 vs. 1.04±0.51, p=0.28), ascites development (volume (ml): 1.14±0.54 vs. 3.37±0.62, p=0.05) and prolonged survival time (p=0.04). G treatment was also associated with delayed tumor establishment in OV8-CDX relative to C: tumors presented in 0/5 (G) vs. 1/5 (C), and 1/5 (G) vs. 4/5 (C) of mice at d14 and d28, respectively. Associated d28 tumor weight was significantly reduced (0.20±0.10 vs. 0.54±0.23, p=0.02) as well. For PH003, G treatment was associated with delayed tumor growth (tumor area at d28: 0.57±0.27 vs. 1.04±0.51, p=0.05), a marked reduction in ascites (volume: 1.25±0.56 vs. 3.37±0.62, p=0.05) and a prolonged survival time (p=0.04) We identified down-regulation of TGF-β signaling-related genes (e.g. TGFB1, TGFBR2) and fibrosis-related biomarkers (e.g. FAP, COL11A1) following drug treatment confirming inhibition of relevant pathways. Conclusion: We report that 2 currently available inhibitors targeting either fibrosis or TGF-β appear to have efficacy in vivo and delay tumor growth in OC PDX models. These results suggest promise for a strategy of targeting the stromal component of OC. Citation Format: Qing Zhang, Xiaonan Hou, Bradley J. Evans, John J. Weroha, William A. Cliby. Inhibitors of fibrosis and TGF-beta delay tumor xenograft growth and reduce ascites in ovarian cancer models [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 961. doi:10.1158/1538-7445.AM2017-961
Abstract 4817: Regression of malignant ascites via PAPP-A inhibition in ovarian cancer patient-derived xenograft model
Abstract Malignant ascites is one of the most common causes of morbidity in end stage ovarian cancer patients with negative impact on quality of life. Novel non-invasive palliative therapeutic options are lacking for such patients. The zinc metalloprotease, pregnancy-associated plasma protein-A (PAPP-A), plays a key role in the insulin-like growth factor (IGF) pathway, promoting ovarian cancer cellular transformation, growth and invasiveness. Furthermore, patient primary malignant ascites is known to contain high levels of PAPP-A by ELISA. Preliminary data shows that inhibition of PAPP-A through a neutralizing monoclonal PAPP-A antibody (mAb-PA) inhibits the accumulation and promote the regression of ascites in an ovarian cancer patient-derived xenograft (PDX) models. In the current study, we investigated whether mAb-PA can promote ascites regression in an additional ovarian PDX model with measurable ascites. Patient derived ascites xenograft (PDAX) models were defined as SCID mice that developed ascites after intraperitoneal heterotransplantation of patient solid tumor collected at the time of primary cytoreduction. Ascites from these models (n=51) was screened for human PAPP-A protein by ELISA and models were divided into two groups by the relative concentration of PAPPA-A: high (n=18) and low (n=33). PAPP-A High PDAX model PH438 was re-established intraperitoneal in 20 SCID mice by ascites injection (0.1 ml per mouse). When ascites area reached a threshold of >0.60 cm2 by ultrasound, mice were treated with 60mg/Kg of mAb-PA (n=10) or IgG2a control (n=10) on day one and three. On day four, a second ultrasound measurement was obtained and the mice were euthanized. Ascites burden was measured at necropsy. Personnel involved with the acquisition of ultrasounds measurements, subsequent ascites harvests, and post hoc analyses were blinded to the treatments. The ratio of mean ascites (mAb-PA/IgG2a in grams) collected at necropsy was 2.04/2.51, indicating that the mAb-PA arm had less ascites compared to control. These data were consistent with pre- and post-treatment ultrasound measurements of ascites burden; a statistically significant (p=0.0283 by paired t test) reduction of ascites burden of 52.3% was observed, compared to the starting baseline, indicating that mAb-PA treatment causes ascites regression. Ascites weight at necropsy was compared to the area of greatest fluid echogenicity by ultrasound and the Pearson correlation R value achieved was of 0.859 (p<0.0001). These PDAX data implicate PAPP-A attenuation as a potential strategy to treat malignant ascites in OC. Additional PDAX models are under examination to confirm these findings and support the translational development of PAPP-A as a new therapeutic target for women with refractory ascites. Citation Format: Valentina Zanfagnin, Laurie K. Bale, Marc A. Becker, Xiaonan Hou, Diogo Torres, Cheryl A. Conover, Saravut J. Weroha. Regression of malignant ascites via PAPP-A inhibition in ovarian cancer patient-derived xenograft model [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 4817. doi:10.1158/1538-7445.AM2017-4817
Abstract 4814: Testing personalized therapies for ovarian cancer using mate pair genomic analysis and patient-derived xenografts
Abstract Purpose: The treatment of ovarian cancer poses a challenge since 70% of patients will relapse with incurable platinum resistant disease. Although ovarian cancers lack frequently-occurring driver mutations or amplifications, the study presented herein examines the concept of individualized therapy based on mate pair sequencing and protein expression in ovarian cancer patient-derived xenografts. Experimental Procedure: Macrodissection of patient tumor was followed by genomic DNA isolation and next-generation sequencing using an Illumina Mate Pair protocol to identify structural genomic changes and copy number variations. Secondary analyses were carried out to select potential therapeutic targets among those. The tumors were also propagated intraperitoneally in immunocompromised mice and treated with standard chemotherapy or/and targeted therapy chosen based on genomic analyses. Results: Mate pair analysis revealed that, in general, copy number changes (amplifications, gains and losses) were common in ovarian tumors and included genes potentially targetable. Tumors from early generation patient- derived xenografts showed a landscape of genomic aberrations identical to that of original patient tumor. One PDX model in which high expression of HER2 and copy number gains at RICTOR and AKT genetic loci were revealed, was treated with either chemotherapy and Pertuzumab/trastuzumab (HER2 inhibitors), MK-8669 (mTOR inhibitor) or MK-2206 (AKT inhibitor) or chemotherapy alone. Tumor size was measured by serial abdominal ultrasound and after 28 days, the final tumor size ratio compared to baseline was 0.23, 0.36, 0.55 and 0.56, respectively, indicating that the best response was seen in the combined chemotherapy and Pertuzumab/trastuzumab cohort and that was better than in the chemotherapy only cohort. Conclusions: Patient-derived xenografts models in conjunction with genomic and protein analyses of patient tumors are valuable for testing of combination therapies including specific targeting drugs. This approach also provides actionable information for more tailored treatment of ovarian cancer patients. Citation Format: Konstantinos Leventakos, Faye R. Harris, Lin Yang, Xiaonan Hou, Saravut Weroha, Irina V. Kovtun. Testing personalized therapies for ovarian cancer using mate pair genomic analysis and patient-derived xenografts [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 4814. doi:10.1158/1538-7445.AM2017-4814