P. Hamberg

Gene expression profiles in circulating tumor cells to predict prognosis in metastatic breast cancer patients

BACKGROUND A circulating tumor cell (CTC) count is an established prognostic factor in metastatic breast cancer (MBC). Besides enumeration, CTC characterization promises to improve outcome prediction and treatment guidance. Having shown the feasibility of quantifying clinically relevant mRNA transcripts in CTCs, we determined the prognostic value of CTC gene expression in MBC. PATIENTS AND METHODS CTCs were isolated and enumerated from blood of 197 MBC patients who were about to start first-line systemic therapy. Of these, 180 were assessable for quantification of mRNA expression by RT-qPCR in relation to time-to-treatment failure (TTF). A prognostic CTC gene profile was generated by leave-one-out cross validation in a 103 patient discovery set and validated in 77 patients. Additionally, all 180 patients were randomly divided into two equal sets to discover and validate a second prognostic profile. RESULTS CTC count predicted for TTF at baseline {≥5 versus <5 CTCs/7.5 ml blood, hazard ratio (HR) 2.92 [95% confidence interval (CI) 1.71-4.95] P < 0.0001}. A 16-gene CTC profile was generated in the first discovery set, which identified patients with death or TTF <9 months versus those with a better outcome. In multivariate analysis, the 16-gene profile was the only factor associated with TTF [HR 3.15 (95% CI 1.35-7.33) P 0.008]. Validation of this profile in the independent patient set pointed into the same direction, but was not statistically significant. A newly generated 8-gene profile showed similarly favorable test characteristics as the 16-gene profile, but did not significantly pass validation either. CONCLUSION A 16-gene CTC profile was identified, which provided prognostic value on top of CTC count in MBC patients. However, validation of this profile in an independent cohort, nor of a second profile, reached statistical significance, underscoring the need to further fine-tune the still promising approach of CTC characterization.

Effects of CYP induction by rifampicin on tamoxifen exposure.

Tamoxifen undergoes biotransformation into several metabolites, including endoxifen. Differences in metabolism contribute to the interindividual variability in endoxifen concentrations, potentially affecting treatment efficacy. We evaluated the effects of cytochrome P450 (CYP) induction by rifampicin on the exposure levels of tamoxifen and its metabolites and found that coadministration of rifampicin resulted in markedly reduced (up to 86%, P ≤ 0.040) concentrations of tamoxifen and its metabolites. Given the extensive metabolism undergone by tamoxifen, several factors may have contributed to this effect. Similar drug–drug interactions may exist between tamoxifen and other strong CYP inducers.

Pazopanib exposure decreases as a result of an ifosfamide-dependent drug–drug interaction: results of a phase I study

Background:The vascular endothelial growth factor receptor (VEGFR) pathway plays a pivotal role in solid malignancies and is probably involved in chemotherapy resistance. Pazopanib, inhibitor of, among other receptors, VEGFR1–3, has activity as single agent and is attractive to enhance anti-tumour activity of chemotherapy. We conducted a dose-finding and pharmacokinetic (PK)/pharmacodynamics study of pazopanib combined with two different schedules of ifosfamide.Methods:In a 3+3+3 design, patients with advanced solid tumours received escalating doses of oral pazopanib combined with ifosfamide either given 3 days continuously or given 3-h bolus infusion daily for 3 days (9 g m−2 per cycle, every 3 weeks). Pharmacokinetic data of ifosfamide and pazopanib were obtained. Plasma levels of placental-derived growth factor (PlGF), vascular endothelial growth factor-A (VEGF-A), soluble VEGFR2 (sVEGFR2) and circulating endothelial cells were monitored as biomarkers.Results:Sixty-one patients were included. Pazopanib with continuous ifosfamide infusion appeared to be safe up to 1000 mg per day, while combination with bolus infusion ifosfamide turned out to be too toxic based on a variety of adverse events. Ifosfamide-dependent decline in pazopanib exposure was observed. Increases in PlGF and VEGF-A with concurrent decline in sVEGFR2 levels, consistent with pazopanib-mediated VEGFR2 inhibition, were observed after addition of ifosfamide.Conclusion:Continuous as opposed to bolus infusion ifosfamide can safely be combined with pazopanib. Ifosfamide co-administration results in lower exposure to pazopanib, not hindering biological effects of pazopanib. Recommended dose of pazopanib for further studies combined with 3 days continuous ifosfamide (9 g m−2 per cycle, every 3 weeks) is 800 mg daily.

Influence of OATP1B1 Function on the Disposition of Sorafenib‐β‐D‐Glucuronide

The oral multikinase inhibitor sorafenib undergoes extensive UGT1A9‐mediated formation of sorafenib‐β‐D‐glucuronide (SG). Using transporter‐deficient mouse models, it was previously established that SG can be extruded into bile by ABCC2 or follow a liver‐to‐blood shuttling loop via ABCC3‐mediated efflux into the systemic circulation, and subsequent uptake in neighboring hepatocytes by OATP1B‐type transporters. Here we evaluated the possibility that this unusual process, called hepatocyte hopping, is also operational in humans and can be modulated through pharmacological inhibition. We found that SG transport by OATP1B1 or murine Oatp1b2 was effectively inhibited by rifampin, and that this agent can significantly increase plasma levels of SG in wildtype mice, but not in Oatp1b2‐deficient animals. In human subjects receiving sorafenib, rifampin acutely increased the systemic exposure to SG. Our study emphasizes the need to consider hepatic handling of xenobiotic glucuronides in the design of drug–drug interaction studies of agents that undergo extensive phase II conjugation.

Role of genetic variation in docetaxel-induced neutropenia and pharmacokinetics

Docetaxel is used for treatment of several solid malignancies. In this study, we aimed for predicting docetaxel clearance and docetaxel-induced neutropenia by developing several genetic models. Therefore, pharmacokinetic data and absolute neutrophil counts (ANCs) of 213 docetaxel-treated cancer patients were collected. Next, patients were genotyped for 1936 single nucleotide polymorphisms (SNPs) in 225 genes using the drug-metabolizing enzymes and transporters platform and thereafter split into two cohorts. The combination of SNPs that best predicted severe neutropenia or low clearance was selected in one cohort and validated in the other. Patients with severe neutropenia had lower docetaxel clearance than patients with ANCs in the normal range (P=0.01). Severe neutropenia was predicted with 70% sensitivity. True low clearance (1 s.d.<mean clearance) was identified in 80% of cases. These models however did not reach statistical significance. To improve the predictive value of these models, the addition of non-genetic influencing factors is needed.

Abstract P1-02-02:ESR1mutations in circulating tumor cell versus circulating cell-free DNA of metastatic breast cancer patients before first-line endocrine therapy and at progression

Background Mutations in ESR1 , the gene encoding the estrogen receptor, have been linked to endocrine resistance in metastatic breast cancer (MBC). It is thought that these mutations are selected during endocrine treatment (ET), but direct evidence that these ESR1 mutations (m ESR1 ) emerge during treatment with endocrine agents is scant. We set out to evaluate m ESR1 in circulating tumor cells (CTCs) and matched plasma cell-free DNA (cfDNA) of MBC patients before start of 1 st line ET and at progression. Materials & Methods CellSearch-enriched CTCs (≥ 5 CTC/7.5 mL) of 37 MBC patients before start of 1 st line ET (baseline cohort; BL) and 38 MBC patients who had progressed on any line of ET for metastatic disease (progressive disease cohort; PD) were evaluated. 52% of the PD patients received one line of ET and 48% more lines, of which 92% contained an aromatase inhibitor. In addition, 10 CellSearch-enriched fractions from healthy blood donors (HBDs) and 46 matched plasma samples (7xHBD, 15xBL, 24xPD) were included. DNA was isolated using the AllPrep kit and cfDNA with the QIAamp CNA kit (Qiagen). Hotspot mutations for ESR1 (D538G, Y537S, Y537C and Y537N) were evaluated with mutation-specific Taqman assays by chip-based digital PCR (QuantStudio 3D). m ESR1 status was assessed after target-specific ESR1 amplification capturing all 4 mutations, with thresholds for positivity based on the highest variant allele frequencies in HBDs. Results Of all the CTC samples in the BL cohort, 1 patient had mutated Y537N copies, while this mutation was not detected in the matched cfDNA. This patient had received adjuvant treatment with tamoxifen. Also none of the other 14 BL cfDNA samples analyzed harbored m ESR1 . Three PD patients (8%) were positive for m ESR1 in their CTCs (2x D538G and 1x Y537S). These D538G variants identified in CTCs were also detected in the corresponding cfDNA of these patients; for the Y537S mutation no matched cfDNA was available. Seven additional m ESR1 carriers were identified in the other 22 matched cfDNA PD samples, resulting in 38% m ESR1 positivity of the PD plasma samples (7x D538G, 1x Y537C and 1x Y537C). Conclusion Sensitivity for detecting m ESR1 in CTC fractions (identified in 8% of the PD patients) was lower than for cfDNA samples. Using cfDNA for m ESR1 detection, we found an higher prevalence of m ESR1 variants in samples obtained at progression to ET (38%) compared to baseline (0%). These findings further substantiate the role of m ESR1 in endocrine resistance. Citation Format: Sieuwerts AM, Beije N, Kraan J, Van M, Onstenk W, Vitale SR, van der Vlugt – Daane M, Hamberg P, Dirix LY, Brouwers A, de Jongh FE, Jager A, Seynaeve CM, Jansen MPHM, Foekens JA, Martens JWM, Sleijfer S. ESR1 mutations in circulating tumor cell versus circulating cell-free DNA of metastatic breast cancer patients before first-line endocrine therapy and at progression [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-02-02.