The fibroblast growth factor/fibroblast growth factor receptor (FGF/FGFR) is a tyrosine kinase signaling pathway that has a fundamental role in many biologic processes including embryonic development, tissue regeneration, and angiogenesis. Increasing evidence indicates that this pathway plays a critical role in oncogenesis via gene amplification, activating mutations, or translocation in tumors of various histologies. With multiplex sequencing technology, the detection of FGFR aberrations has become more common and is tied to cancer cell proliferation, resistance to anticancer therapies, and neoangiogenesis. Inhibition of FGFR signaling appears promising in preclinical studies, suggesting a pathway of clinical interest in the development of targeted therapy. Phase I trials have demonstrated a manageable toxicity profile. Currently, there are multiple FGFR inhibitors under study with many non-selective (multi-kinase) inhibitors demonstrating limited clinical responses. As we progress from the first generation of non-selective drugs to the second generation of selective FGFR inhibitors, it is clear that FGFR aberrations do not behave uniformly across cancer types; thus, a deeper understanding of biomarker strategies is undoubtedly warranted. This review aims to consolidate data from recent clinical trials with a focus on selective FGFR inhibitors. As Phase II clinical trials emerge, concentration on patient selection as it pertains to predicting response to therapy, feasible methods for overcoming toxicity, and the likelihood of combination therapies should be utilized. We will also discuss qualities that may be desirable in future generations of FGFR inhibitors, with the hope that overcoming these current barriers will expedite the availability of this novel class of medications.

HMG-CoA reductase inhibitors ('statins') represent the most effective and widely prescribed drugs currently available for the reduction of low-density lipoprotein cholesterol, a critical therapeutic target for primary and secondary prevention of cardiovascular atherosclerotic disease. In the face of the established lipid lowering and the emerging pleiotropic properties of statins, the patient population suitable for long-term statin treatment is expected to further expand. An overall positive safety and tolerability profile of statins has been established, although adverse events have been reported. Skeletal muscle-related events are the most common adverse events of statin treatment. Statin-induced myopathy can (rarely) manifest with severe and potentially fatal cases of rhabdomyolysis, thus rendering the identification of the underlying predisposing factors critical. The purpose of this review is to summarize the factors that increase the risk of statin-related myopathy. Data from published clinical trials, meta-analyses, postmarketing studies, spontaneous report systems and case reports for rare effects were reviewed. Briefly, the epidemiology, clinical spectrum and molecular mechanisms of statin-associated myopathy are discussed. We further analyse in detail the risk factors that precipitate or increase the likelihood of statin-related myopathy. Individual demographic features, genetic factors and co-morbidities that may account for the significant interindividual variability in the myopathic risk are presented. Physicochemical properties of statins have been implicated in the differential risk of currently marketed statins. Pharmacokinetic interactions with concomitant medications that interfere with statin metabolism and alter their systemic bioavailability are reviewed. Of particular clinical interest in cases of resistant dyslipidaemia is the interaction of statins with other classes of lipid-lowering agents; current data on the relative safety of available combinations are summarized. Finally, we provide an update of current guidelines for the prevention and management of statin myopathy. The identification of patients with an increased proclivity to statin-induced myopathy could allow more cost-effective approaches of monitoring and screening, facilitate targeted prevention of potential complications, and further improve the already overwhelmingly positive benefit-risk ratio of statins.

Triple negative breast cancer (TNBC) is a subtype with heterogeneous patient outcomes. Approximately forty percent of patients experience rapid relapse, while the remaining patients have long-term disease-free survival. To determine if there are molecular differences between primary tumors that predict prognosis we performed RNA-seq on 47 macro-dissected tumors from newly diagnosed patients with TNBC (n = 47; 22 relapse, 25 no relapse; follow-up median 8 years, range 2–11 years). We discovered that expression of the MHC class II (MHC II) antigen presentation pathway in tumor tissue was the most significant pathway associated with progression-free survival (hazard ratio (HR) = 0.36, log-rank P = 0.0098). The association between MHC II pathway expression and good prognosis was confirmed in a public gene expression database of 199 TNBC cases (HR = 0.28, log-rank P = 4.5 × 10−8). Further analysis of immunohistochemistry, laser-capture micro-dissected tumors, and TNBC cell lines demonstrated that tumor cells, in addition to immune cells, aberrantly express the MHC II pathway. MHC II pathway expression was also associated with B cell and T cell infiltration in the tumor. Together these data support the model that aberrant expression of the MHC II pathway in TNBC tumor cells may trigger an antitumor immune response that reduces the rate of relapse and enhances progression-free survival.

Models that recapitulate the complexity of human tumors are urgently needed to develop more effective cancer therapies. We report a bank of human patient-derived xenografts (PDXs) and matched organoid cultures from tumors that represent the greatest unmet need: endocrine-resistant, treatment-refractory and metastatic breast cancers. We leverage matched PDXs and PDX-derived organoids (PDxO) for drug screening that is feasible and cost-effective with in vivo validation. Moreover, we demonstrate the feasibility of using these models for precision oncology in real time with clinical care in a case of triple-negative breast cancer (TNBC) with early metastatic recurrence. Our results uncovered a Food and Drug Administration (FDA)-approved drug with high efficacy against the models. Treatment with this therapy resulted in a complete response for the individual and a progression-free survival (PFS) period more than three times longer than their previous therapies. This work provides valuable methods and resources for functional precision medicine and drug development for human breast cancer.

Purpose Circulating Tumor cells (CTC) are prognostic in metastatic breast cancer (MBC). We tested whether the EpCAM based capture system (CellSearch®) is effective in patients with triple negative (TN) MBC, and whether CTC-apoptosis and clustering enhances the prognostic role of CTC. Experimental Design CTC enumeration and apoptosis was determined using the CXC CellSearch® kit at baseline and days 15 and 29 in blood drawn from TN MBC patients who participated in a prospective randomized phase II trial of nanoparticle albumin-bound paclitaxel (nab-PAC) with or without tigatuzumab (TIG). Association between levels of CTC and patient outcomes was assessed using logistic regression, Kaplan Meier curves, and Cox proportional hazards modeling. Results Nineteen of 52 (36.5%), 14/52 (26.9%), and 13/49 (26.5%) patients who were evaluable had elevated CTC (≥5CTC/7.5 ml WB) at baseline, days 15 and 29, respectively. Patients with elevated vs. not elevated CTC at each time point had worse progression free survival (PFS) (p=0.005, 0.0003, 0.0002, respectively). The odds of clinical benefit response for those who had elevated vs. low CTC at baseline and days 15 and 29 were 0.25 (95% CI: 0.08–0.84, p=0.024), 0.19 (95% CI: 0.05–0.17, p=0.014), and 0.06 (95% CI: 0.01–0.33, p=0.001), respectively. There was no apparent prognostic effect comparing CTC-apoptosis vs. non-apoptosis. Presence of CTC-cluster at day 15, and day 29 was associated with shorter PFS. Conclusions CTC were detected using CellSearch® assay in approximately one-third of TN MBC patients. Elevated CTC at baseline and days 15 and 29 were prognostic, and reductions in CTC levels reflected response.

After completing this course, the reader will be able to:1. Promptly recognize cardiovascular adverse events associated with anti-VEGF therapy in order to formulate treatment plans to counteract them.2. Explain possible mechanisms by which bevacizumab, sunitinib, and sorafenib lead to cardiovascular complications and develop strategies for managing these complications.3. Describe the role of RAAS in vasoconstriction and capillary rarefaction and strategize the use of RAAS inhibition to manage these toxicities.This article is available for continuing medical education credit at CME.TheOncologist.com. CME CME ABSTRACTBackground. Therapies targeting vascular endothelial growth factor (VEGF) are associated with hypertension, cardiotoxicity, and thromboembolic events. Methods. All prospective phase I-III clinical trials published up to December 2008 of approved anti-VEGF therapies (bevacizumab, sunitinib, sorafenib) and relevant literature were reviewed.Results. The rates of Common Toxicity Criteria

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BACKGROUND:The authors validated the Royal Marsden Hospital (RMH) prognostic score in patients with advanced lung, pancreatic, and head and neck cancers who were enrolled on phase 1 trials in the MD Anderson Cancer Center Phase I Clinical Trials Program. METHODS: The RMH score uses albumin ( 3.5 g/dL vs <3.5 g/dL), lactate dehydrogenase (less than or equal to the upper limit of normal [ ULN] vs >ULN), and the number of metastatic sites ( 2 sites vs 3 sites) to predict patient survival in phase 1 trials. The authors of this report retrospectively reviewed the outcomes of 229 consecutive patients with lung, pancreatic, and head and neck tumors who were treated on 57 phase 1 trials. RESULTS: Two hundred twenty-nine consecutive patients with lung cancer (N ¼ 85), pancreatic cancer (N ¼ 83), and head and neck tumors (N ¼ 61) were treated. The median patient age was 60 years (range, 26-85 years), and 63% of the patients were men. Patients with a good RMH prognostic score (0-1) at baseline had a longer median survival than patients with a poor prognostic score (2-3; 33.9 weeks vs 21.1 weeks; P < .0001). The RMH score was an independent variable that predicted survival in multivariate analysis. Other independent variables that predicted better survival were hemoglobin level ( 10.5 g/dL), Eastern Cooperative Oncology Group performance status (0-1), and tumor type. Patients who were treated on first-in-human trials did not fare worse compared with those who were not treated on first-in-human trials. CONCLUSIONS: For patients with lung, pancreatic, and head and neck tumors who were treated on phase 1 trials, survival was predicted accurately by the RMH prognostic score.