Patient-derived xenografts (PDXs) have emerged as an important platform to elucidate new treatments and biomarkers in oncology. PDX models are used to address clinically relevant questions, including the contribution of tumour heterogeneity to therapeutic responsiveness, the patterns of cancer evolutionary dynamics during tumour progression and under drug pressure, and the mechanisms of resistance to treatment. The ability of PDX models to predict clinical outcomes is being improved through mouse humanization strategies and implementation of co-clinical trials, within which patients and PDXs reciprocally inform therapeutic decisions. This Opinion article discusses aspects of PDX modelling that are relevant to these questions and highlights the merits of shared PDX resources to advance cancer medicine from the 6 perspective of EurOPDX, an international initiative devoted to PDX-based research.Response to anticancer therapies varies owing to the substantial molecular heterogeneity of human tumours and to poorly defined mechanisms of drug efficacy and resistance 1 . Immortalized cancer cell lines, either cultured in vitro or grown as xenografts, cannot interrogate the complexity of human tumours, and only provide determinate insights into human disease, as they are limited in number and diversity, and have been cultured on plastic over decades 2 .This disconnection in scale and biological accuracy contributes considerably to attrition in drug development [3][4][5] .Surgically derived clinical tumour samples that are implanted in mice (known as patient-derived xenografts (PDXs)) are expected to better inform therapeutic development strategies. As intact tissue -in which the tumour architecture and the relative proportion of cancer cells and stromal cells are both maintained -is directly implanted into recipient animals, the alignment with human disease is enhanced. More importantly, PDXs retain the idiosyncratic characteristics of different tumours from different patients; hence, they can effectively recapitulate the intra-tumour and inter-tumour heterogeneity that typifies human cancer 6-9 . 7 Exhaustive information on the key characteristics and the practical applications of PDXs can be found in recent reviews [10][11][12][13] . In this Opinion article, we discuss basic methodological concepts, as well as challenges and opportunities in developing "next-generation" models to improve the reach of PDXs as preclinical tools for in vivo studies (TABLE 1). We also elaborate on the merits of PDXs for exploring the intrinsic heterogeneity and subclonal genetic evolution of individual tumours, and discuss how this may influence therapeutic resistance. Finally, we examine the utility of PDXs in navigating complex variables in clinical decision-making, such as the discovery of predictive and prognostic biomarkers, and the categorization of genotype-drug response correlations in high-throughput formats. Being primarily co-authored by leading members of the EurOPDX Consortium (see Further information), we provide...

PURPOSE To evaluate the safety, maximum-tolerated dose (MTD), pharmacokinetics (PKs), pharmacodynamics, and preliminary anticancer activity of ramucirumab (IMC-1121B), a fully human immunoglobulin G(1) monoclonal antibody targeting the vascular endothelial growth factor receptor (VEGFR)-2. PATIENTS AND METHODS Patients with advanced solid malignancies were treated once weekly with escalating doses of ramucirumab. Blood was sampled for PK studies throughout treatment. The effects of ramucirumab on circulating vascular endothelial growth factor-A (VEGF-A), soluble VEGFR-1 and VEGFR-2, tumor perfusion, and vascularity using dynamic contrast-enhanced magnetic resonance imaging were assessed. Results Thirty-seven patients were treated with 2 to 16 mg/kg of ramucirumab. After one patient each developed dose-limiting hypertension and deep venous thrombosis at 16 mg/kg, the next lower dose (13 mg/kg) was considered the MTD. Nausea, vomiting, headache, fatigue, and proteinuria were also noted. Four (15%) of 27 patients with measurable disease had a partial response (PR), and 11 (30%) of 37 patients had either a PR or stable disease lasting at least 6 months. PKs were characterized by dose-dependent elimination and nonlinear exposure consistent with saturable clearance. Mean trough concentrations exceeded biologically relevant target levels throughout treatment at all dose levels. Serum VEGF-A increased 1.5 to 3.5 times above pretreatment values and remained in this range throughout treatment at all dose levels. Tumor perfusion and vascularity decreased in 69% of evaluable patients. CONCLUSION Objective antitumor activity and antiangiogenic effects were observed over a wide range of dose levels, suggesting that ramucirumab may have a favorable therapeutic index in treating malignancies amenable to VEGFR-2 inhibition.

Cyclin D1 (CCND1) is a well-known regulator of cell-cycle progression. It is overexpressed in several types of cancer including breast, lung, squamous, neuroblastoma, and lymphomas. The most well-known mechanism of overexpression is the t(11;14)(q13;q32) translocation found in mantle cell lymphoma (MCL). It has previously been shown that truncated CCND1 mRNA in MCL correlates with poor prognosis. We hypothesized that truncations of the CCND1 mRNA alter its ability to be downregulated by microRNAs in MCL. MicroRNAs are a new class of abundant small RNAs that play important regulatory roles at the posttranscriptional level by binding to the 3 untranslated region (UTR) of mRNAs blocking either their translation or initiating their degradation. In this study, we have identified the truncation in CCND1 mRNA in MCL cell lines. We also found that truncated CCND1 mRNA leads to increased CCND1 protein expression and increased S-phase cell fraction. Furthermore, we demonstrated that this truncation alters miR-16-1 binding sites, and through the use of reporter constructs, we were able to show that miR-16-1 regulates CCND1 mRNA expression. This study introduces the role of miR-16-1 in the regulation of CCND1 in MCL. (Blood. 2008; 112:822-829) IntroductionMantle cell lymphoma (MCL) represents 5% to 10% of all nonHodgkin lymphomas. 1,2 It is a relatively uncommon but particularly difficult form of lymphoma to treat. It has the worst prognosis among the B-cell lymphomas, with median survival of 3 years with no standard effective therapy. 3 The genetic hallmark of MCL is the t(11;14)(q13; q32) translocation that displaces the CCND1 gene on chromosome 11 downstream to the enhancer region of the IgH gene on chromosome 14 and causes its overexpression. 4 CCND1 is a well-known cell-cycle regulator and promotes G1 to S-phase cell-cycle progression. 5,6 Although CCND1 overexpression has unified and simplified the diagnostic approach to MCL, no therapeutic advances have been made to target this particular pathway. In fact, controversy remains regarding the oncogenic potential of CCND1. Some have speculated that wild-type CCND1 requires another cooperating oncogenic event such as Ras activation to cause tumorigenesis. 7 Others such as Diehl et al 8 and Lu et al 9 have reported a CCND1 variant (cyclin D1b), the nuclear localization of which represents a critical step in oncogenesis. The most recent finding reported by Wiestner et al 10 showed that point mutations and genomic deletions in CCND1 created a truncated mRNA and result in increased proliferation and shorter survival. Although this report associates important clinical outcomes with the truncated mRNA, it does not delineate a definitive molecular mechanism or rationale. In their discussion, Wiestner et al alluded to the possibility of microRNAs as regulators of CCND1. 10 We hypothesize that CCND1 mRNA is normally under the regulation of microRNAs, and that truncated CCND1 mRNA escapes this regulation by deletion of the microRNA target binding sequences.MicroRNAs (miRNAs) are sm...