Citations

353 Background: One mechanism leading to castrate-resistant prostate cancer (CRPC) is upregulation of CYP17. Abiraterone acetate (AA) inhibits CYP17 and continuous AA administration (CAAA) is one the most common and effective CRPC treatments. Mathematical models can be potentially powerful clinical tools for optimizing treatment strategies and eliminating guess work. Here, we introduce a new model which builds on our previous work (Morken JD, Packer A, Everett RA, Nagy JD, Kuang Y. Mechanisms of resistance to intermittent androgen deprivation therapy identified in prostate cancer patients by novel computational method. Cancer Res 2014;74:2673-83.) and may be capable of predicting how patients will respond to CAAA and intermittent AA administration (IAAA). We are currently proposing a personalized IAAA protocol on the basis of these results. Methods: In this ongoing retrospective study, we use PSA data from patients whom underwent CAAA to validate the accuracy of our model of tumor growth and evolution. The PSA output is driven by dynamics of three cell populations—castration-sensitive (CS), castration-resistant abiraterone-sensitive (CSAS), and castration-sensitive abiraterone-resistant (CSAR) cells. We fit the model output to PSA data to find parameter values which minimize normalized mean squared error (NMSE). Once parameters are obtained, we ran simulations employing various IAAA protocols. Results: The model’s PSA dynamics are highly accurate. NMSE is very low across patients ranging from 0.0001-0.0085. Conclusions: Our results suggest that there exists an IAAA protocol for each patient that, at worst, yields the same time to tumor progression as CAAA, yet improves quality of life and reduces cost. In nearly 20% of patients, IAAA appears to delay tumor progression over CAAA. The model is accurate at predicting how patients will respond to CAAA and IAAA for patients whose PSA is regularly monitored. Near-future work aims to personalize IAAA protocol based on patient pre CRPC PSA dynamics and to identify a protocol which delays progression for most patients.

54 Background: After diagnosis and treatment, lung cancer survivors do not return to a health-related quality of life (QOL) and function comparable to pre-diagnosis levels as observed in other adult cancer survivors. We hypothesize that inadequate attention has been paid to addressing and improving QOL and function among lung cancer survivors. Our primary goal is to evaluate existing symptoms and QOL deficits among lung cancer survivors. Methods: We are evaluating patterns of QOL deficits (scored 5 or less on the scale from 0 [worst] to 10 [best]) in relation to time of lung cancer diagnosis, treatments, progression and/or recurrence, and health-related conditions. We are collecting and analyzing relevant health care utilization for selected QOL deficits, and identifying availability, accessibility, and effectiveness of evidence-based interventions. The expected outcomes will be new knowledge on patterns of QOL deficits, quality-adjusted life years in relation to the availability, accessibility, and adequacy of needed care and the effectiveness of interventions targeting improvement in QOL and symptoms. Results: In our initial analysis, among 3,707 lung cancer survivors who were diagnosed in 1999 to 2010, post-cancer treatment, and followed through 2011, 39% (1,442) reported deficits in overall QOL, 71% fatigue, 60% dyspnea, 41% being sedentary, 17% low spiritual well-being (SWB), and 10% currently smoking cigarettes. Among the 1,442 lung cancer survivors with a deficit in overall QOL, 97.5% reported severe fatigue or dyspnea, being sedentary or smoking, or having low SWB. In the remaining 36 of the 1,442, 24 had pain, cough, poor appetite, or other symptoms; only 12 (<1%) did not report deficit in any of the measured QOL domains. Analyses are ongoing. Conclusions: Based on evidence gained to date, we are developing and testing interventions targeting symptoms and QOL deficits. We expect to gain strong evidence for recommendations in redefining and delivering care and support that are necessary for improving the health and QOL of lung cancer survivors.

Lung cancer is the deadliest cancer in the United States, killing roughly one of four cancer patients in 2016. While it is well-established that lung cancer is caused primarily by environmental effects (particularly tobacco smoking), there is evidence for genetic susceptibility. Lung cancer has been shown to aggregate in families, and segregation analyses have hypothesized a major susceptibility locus for the disease. Genetic association studies have provided strong evidence for common risk variants of small-to-moderate effect. Rare and highly penetrant alleles have been identified by linkage studies, including on 6q23–25. Though not common, some germline mutations have also been identified via sequencing studies. Ongoing genomics studies aim to identify additional high penetrance germline susceptibility alleles for this deadly disease.

Abstract Renal fibrosis is the common pathological hallmark of progressive chronic kidney disease ( CKD ) with diverse aetiologies. Recent researches have highlighted the critical role of hypoxia during the development of renal fibrosis as a final common pathway in end‐stage kidney disease ( ESKD ), which joints the scientist's attention recently to exploit the molecular mechanism underlying hypoxia‐induced renal fibrogenesis. The scaring formation is a multilayered cellular response and involves the regulation of multiple hypoxia‐inducible signalling pathways and complex interactive networks. Therefore, this review will focus on the signalling pathways involved in hypoxia‐induced pathogenesis of interstitial fibrosis, including pathways mediated by HIF , TGF ‐β, Notch, PKC / ERK , PI 3K/Akt, NF ‐κB, Ang II / ROS and micro RNA s. Roles of molecules such as IL ‐6, IL ‐18, KIM ‐1 and ADO are also reviewed. A comprehensive understanding of the roles that these hypoxia‐responsive signalling pathways and molecules play in the context of renal fibrosis will provide a foundation towards revealing the underlying mechanisms of progression of CKD and identifying novel therapeutic targets. In the future, promising new effective therapy against hypoxic effects may be successfully translated into the clinic to alleviate renal fibrosis and inhibit the progression of CKD .

Abstract Over the recent years significant knowledge has been accumulated on which drugs can be therapeutically beneficial for a given patient based on mutational profiling of their tumors using selected gene panels. Much less, however, is known under which conditions targeting of genes which are amplified could be beneficial. Apart from successfully targeting HER2-positive cancers, many of which frequently carry amplified ERBB2 gene, no other targeted therapy based on DNA amplifications or gains of the genes is offered to the patients due to lack of clinical response data. Using mate pair sequencing we have profiled 60 high grade serous ovarian tumors to compare genomic rearrangements and copy number changes. The analyses revealed that these tumors carry highly rearranged genome. Copy number changes amplifications, gains and losses were very common and included genes potentially therapeutically targetable. In contrast, only a few of targetable fusion genes were identified in a set of 60 cases. The tumors were propagated in immunocompromised mice (mouse avatars), sequenced and showed identical to original patient tumor landscape of rearrangements. Using these mouse avatar models we tested whether a therapy inhibiting selected based on genomic amplification targets provided a benefit compared to standard chemotherapy. Mice which harbored tumors showing amplifications of CDKs (CDK2, 4 and 9) and ERBB3 were treated with flavopiridol and pertuzumab respectively, and response was compared to that of standard for ovarian cancer chemotherapy (carboplatin and paclitaxel combination). We observed that application of either agent, significantly inhibited tumor growth in treated mice as compared to untreated. However, neither drug alone caused tumor regression. The treatment regimen then was modified to administer chemotherapy and targeted therapy together. A mouse avatars in which genomic analyses revealed amplification at loci involving AKT3 and RICTOR genes was treated with chemotherapy alone and in combination with MK2206 (AKT inhibitor) or MK8669 (mTOR inhibitor). The high level of both target proteins was confirmed by immunoblotting. Significant regression of tumor was observed after 6 weeks of treatment. Addition of either targeted drug provided an extra benefit in killing tumor cells compared to chemotherapy alone. The mice are followed to study tumor recurrence. These data indicated that genomic information obtained using next generation sequencing can aid therapy decisions by tailoring treatments to individual tumor makeup. Avatar models in conjunction with genomic analyses of the original tumors are invaluable for testing specific targeted therapies selected based on amplification/gains of putative genes-targets and for studying mechanisms of tumor recurrence and therapy resistance. Citation Format: Faye R. Harris, Lin Yang, Xiaonan Hou, Konstantinos Leventakos, Saravut J. Weroha, George Vasmatzis, Irina V. Kovtun. Targeting genes which are amplified in ovarian cancer. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Targeting the Vulnerabilities of Cancer; May 16-19, 2016; Miami, FL. Philadelphia (PA): AACR; Clin Cancer Res 2017;23(1_Suppl):Abstract nr A34.