PI3K mutations detected in liquid biopsy are associated to reduced sensitivity to CDK4/6 inhibitors in metastatic breast cancer patients.

BACKGROUND: PI3K pathway hyperactivation due to PIK3CA mutations contributes to endocrine resistance, and PIK3CA is one of the most frequently mutated genes in breast cancer (BC), occurring approximately 40 % of HR+, HER2- advanced BC (ABC). Cyclin-dependent kinase 4 and 6 inhibitors (CDK4/6i) have changed the treatment landscape of HR+, HER2- ABC. Putative mechanisms of resistance to CDK4/6i have been identified, but limited data are available on PI3K deregulation. The present study evaluates the impact of PIK3CA mutations on CDK4/6i plus hormone therapy and evaluates potential characteristics that may suggest for a PI3K screening in patients with ABC. METHODS: ABC patients were enrolled, and 12 mL of blood were collected in EDTA tubes at baseline prior to CDK4/6i plus hormone therapy. Plasma was separated and circulating free DNA (cfDNA) was extracted. PIK3CA mutation analysis was performed on a ddPCR. Selected and analyzed mutations included: p.C420R, p.E542 K, p.E545A, p.E545D, p.E545G, p.E545K, p.Q546E, p.Q546R, p.H1047L, p.H1047R, p.H1047Y. Statistical analysis were performed to investigate the predictive power of such mutations and any association with clinical factors. RESULTS: Thirty patients were enrolled. PIK3CA mutation status at baseline was independently associated with shorter median PFS (7.44 vs 12.9 months, p = 0.01) in subject receiving CDK4/6i plus hormone therapy. PIK3CA mutations were found to be associated to Ki67 expression in primary lesions (p = 0.006). Moreover, the probability to find a PI3K mutation improved considering also the therapeutic management in previous lines of treatment (McFadden's R2 = 0.415, p = 0.004; AUC of the ROC curve = 0.914). CONCLUSION: The findings of this pilot study suggest that the presence of a PI3K mutation in liquid biopsy correlates with a worse PFS in patients with ABC receiving CDK4/6i, and that liquid biopsy is a useful tool to suggests a better tailored pharmacological intervention.

Optimizing treatment of renal cell carcinoma with VEGFR-TKIs: a comparison of clinical pharmacology and drug-drug interactions of anti-angiogenic drugs.

Anti-angiogenic treatment is an important option that has changed the therapeutic landscape in various tumors, particularly in patients affected by renal cell carcinoma (RCC). Agents that block signaling pathways governing tumor angiogenesis have raised high expectations among clinicians. Vascular endothelial growth factor receptor-tyrosine kinase inhibitors (VEGFR-TKIs) comprise a heterogeneous class of drugs with distinct pharmacological profiles, including potency, selectivity, pharmacokinetics and drug-drug interactions. Among them, tivozanib is one of the last TKIs introduced in the clinical practice; this drug selectively targets VEGFRs, it is characterized by a favorable pharmacokinetics and safety profile and has been approved as first-line treatment for patients with metastatic RCC (mRCC). In this article, we describe the clinical pharmacology of selected VEGFR-TKIs used for the treatment of mRCC, highlighting the relevant differences; moreover we aim to define the main pharmacologic characteristics of these drug.

Protein kinase inhibitors for the treatment of advanced and progressive radiorefractory thyroid tumors: From the clinical trials to the real life.

The last ten years have been characterized by the introduction in the clinical practice of new drugs named tyrosine kinase inhibitors for the treatment of several human tumors. After the positive conclusion of two international multicentric, randomized phase III clinical trials, two of these drugs, sorafenib and lenvatinib, have been recently approved and they are now available for the treatment of advanced and progressive radioiodine refractory thyroid tumors. We have been involved in most clinical trials performed with different tyrosine kinase inhibitors in different histotypes of thyroid cancer thus acquiring a lot of experience in the management of both drugs and their adverse events. Aim of this review is to give an overview of both the rationale for the use of these inhibitors in thyroid cancer and the major results of the clinical trials. Some suggestions for the management of treated patients in the real life are also provided.

Refining sorafenib therapy: lessons from clinical practice.

Understanding the best use of sorafenib is essential in order to maximize clinical benefit in hepatocellular carcinoma. Based on Phase III and noninterventional study data, as well as our extensive experience, we discuss dose modification in order to manage adverse events, disease response evaluation and how to maximize treatment benefit. Sorafenib should be initiated at the approved dose (400 mg twice daily) and reduced/interrupted as appropriate in order to manage adverse events. Dose modification should be considered before discontinuation. Appropriate tumor response assessment is critical. Focusing on radiologic response may result in premature sorafenib discontinuation; symptomatic progression should also be considered. If second-line therapies or trials are unavailable, continuing sorafenib beyond radiologic progression may provide a clinical benefit. Our recommendations enable the maximization of treatment duration, and hence clinical benefit, for patients.

Phase ib of sorafenib in combination with everolimus in patients with advanced solid tumors, selected on the basis of molecular targets.

BACKGROUND: Molecular alterations of the PI3K and Ras pathways often occur in human cancer. In this trial, the pharmacokinetics, toxicity, and activity of two drugs inhibiting these pathways-everolimus and sorafenib-were investigated. METHODS: Thirteen patients with progressing solid tumors were treated with everolimus and sorafenib, according to a 3+3 scheme. Patients were selected on the basis of immunohistochemical expression of tumor molecular targets, including phospho-AKT, -p70S6K, and -ERK1/2. RESULTS: The daily recommended dose identified was 2.5 mg of everolimus and 600 mg of sorafenib. Dose-limiting toxicities included grade 3 asthenia and hand-foot skin reaction. No grade 4 adverse events were observed. The most frequent grade 3 toxicities were hypophosphatemia (30.8%), alanine aminotransferase level increase, asthenia, and anorexia (14%). No pharmacokinetic interactions were identified between everolimus and sorafenib. Of 12 evaluable patients, we observed 2 partial responses, with greater than 10% shrinkage in an additional 5 patients. Objective responses were observed in one patient with a thymoma and in one patient with a lung adenocarcinoma. Tumor shrinkage that did not qualify as a partial response was seen in an abdominal leiomyosarcoma and in adenoid cystic carcinomas. CONCLUSION: The combination of everolimus and sorafenib is safe. The tumor activity observed in different tumor types could be the result of the combined action of these drugs as well as the molecular selection of the treated population. Further research is warranted to better investigate drugs simultaneously blocking the PI3K and the Ras pathways and to refine patient selection.

Population pharmacokinetics of daptomycin in patients affected by severe Gram-positive infections.

A population pharmacokinetic analysis of daptomycin was performed based on therapeutic drug monitoring (TDM) data from 58 patients receiving doses of 4-12 mg/kg for the treatment of severe Gram-positive infections. At a daily dose of 8 mg/kg, daptomycin plasma concentrations (mean ± S.D.) were 76.9 ± 9.8 mg/L at the end of infusion and 52.7 ± 15.4 mg/L and 11.4 ± 5.4 mg/L at 0.5 h and 23 h after drug administration, respectively. The final model was a one-compartmental model with first-order elimination, with estimated clearance (CL) of 0.80 ± 0.14 L/h and a volume of distribution (V(d)) of 0.19 ± 0.05 L/kg. Creatinine clearance (CL(Cr)) was identified as having a significant influence on daptomycin CL, and a decrease in CL(Cr) of 30 mL/min from the median value (80 mL/min) was associated with a reduction of daptomycin CL from 0.80 L/h to 0.73 L/h. These results confirm that the presence of severe infection may be associated with an altered disposition of daptomycin, with an increased Vd. MICs were available in 41 patients and results showed that 38 and 31 subjects achieved AUC/MIC values associated with bacteriostatic (>400) and bactericidal effects (>800), respectively. Of note, 31 of these 41 subjects experienced a clinical improvement or were cured. Although daptomycin pharmacokinetics may be influenced by infections, effective AUC/MIC values were achieved in the majority of patients. The present model may be applied in clinical settings for a TDM routine on the basis of a sparse blood sampling protocol.

Population pharmacokinetic analysis of 5-FU and 5-FDHU in colorectal cancer patients: search for biomarkers associated with gastro-intestinal toxicity.

PURPOSE: The anticancer drug 5-fluorouracile (5-FU) which is indicated for the treatment of a variety of solid malignancies such as colorectal, breast, head and neck neoplasms is extensively biotransformed to 5 fluoro-5,6- dihydrouracil (5-FDHU) by the dihydropyrimidine deshydrogenase enzyme (DPD). DPD deficiency is recognized as an important risk factor, predisposing patient to undergo severe/lethal toxicities. To date, relationships between 5-FU, 5- FDHU and toxicity following i.v. bolus administration has not been studied using the population pharmacokinetics approach. METHODS: Retrospective pharmacokinetic data of 5-FU and 5-FDHU from 127 colorectal cancer patients were used for the population pharmacokinetic analysis. Treatment schedule consisted of an adjuvant therapy with 5-FU plus leucovorin. 5- FU and 5-FDHU complete plasma profiles recorded on day-1 of the first chemotherapy cycle were modeled simultaneously using NONMEM software. Gastro-intestinal adverse events graded according to the WHO criteria were recorded after the first cycle. A population logistic regression model was developed to identify predictive factors of these adverse events. RESULTS: A three-compartment pharmacokinetic mixture model best described 5-FU and 5-FDHU kinetics profiles. Linear and saturated elimination from the central compartment of 5-FU and a linear elimination from the 5-FDHU compartment were used. A bimodal distribution of the inter-compartmental clearance was observed allowing two subpopulation with high (17 L/h) and low values (3.35 L/h). DPD-phenotype is suspected to explain this mixture. No covariates were introduced in the final model. Also, no relationship was found between maximal metabolism rate and DPD-phenotype. Predictive factors associated with occurrence of high grade gastro-intestinal adverse events were gender, dose and lean body mass suggesting serious cautions with the BSA-weighted dose for women. For the low-grade toxicities, 5-FU area under curve was predictive for woman and 5-FDHU area under curve for men. CONCLUSION: A population pharmacokinetic mixture model was developed to describe kinetic profiles of 5-FU and its major metabolite. This model has significant implications, to identify patients with potentially low DPD phenotype requiring earlier adjustment of the 5-FU dose. Also this analysis highlights the need for developing alternative dosing-scheme for women.

Time-dependent pharmacokinetics of 5-fluorouracil and association with treatment tolerability in the adjuvant setting of colorectal cancer.

The authors evaluated the influence of 5-fluorouracil (5-FU) on treatment tolerability in 81 colorectal cancer patients given adjuvant 5-FU intravenously plus folinic acid for 6 cycles. The pharmacokinetics of 5-FU and its inactive metabolite 5-fluoro-5,6-dihydrouracil (5-FDHU) were measured on days 1 and 5 of the first chemotherapy cycle, 5 and 45 minutes after bolus administration. 5-FU clearance was significantly lower on day 5 (62.64 ± 20.16 L/h/m(2)) than on day 1 (74.83 ± 31.61 L/h/m(2)). The lower 5-FU clearance values also predicted the side effects during the entire course of chemotherapy. In particular, patients with low clearance values on day 1 had a further reduction in this parameter on day 5, associated with severe toxicities. In conclusion, 5-FU alters its clearance, which could be partly due to a reduction in 5-FDHU biotransformation. These findings have safety implications for poor metabolizers whose drug clearance may fall below the threshold during repeated treatment cycles.

Pharmacogenetics of anti-estrogen treatment of breast cancer.

A major effort is underway to select genetic polymorphisms potentially relevant to the clinical efficacy and safety of endocrine treatment of breast cancer. Genetic factors of the host that affect the metabolism of tamoxifen, a widely used drug for the adjuvant treatment of breast cancer, have received particular attention. Cytochrome P450 isoform 2D6 (CYP2D6) is a key step in the metabolism of tamoxifen to its active moiety endoxifen. Women with functionally deficient genetic variants of CYP2D6 who are given drugs that inhibit CYP2D6 are exposed to low endoxifen plasma levels and may enjoy reduced benefits from tamoxifen treatment. Therefore, CYP2D6 status may be an important predictor of the benefits of tamoxifen to an individual; unfortunately, the data are not uniformly concordant, and definitive evidence that would suggest the routine analysis of CYP2D6 before commencing tamoxifen treatment is not yet available. Recent research has focused on the role UDP-glucuronosyltransferases, a family of metabolizing enzymes that play an important role in the metabolic clearance of tamoxifen and of the aromatase inhibitors as well, and how interindividual differences in these enzymes may play a role in the clinical outcome upon administration of anti-estrogen treatment. In conclusion, whether a pharmacogenetic profile should be obtained prior to initiating tamoxifen therapy is currently a matter of debate, although summing up all the scientific evidence available on this issue it appears that the genetic screening would be an useful support for clinical decision making in selected patients.

Synergistic cytotoxicity, inhibition of signal transduction pathways and pharmacogenetics of sorafenib and gemcitabine in human NSCLC cell lines.

INTRODUCTION: Lung cancer is one of the most lethal tumors and, although standard chemotherapy produces clinical response, there has been little improvement in prognosis. Therefore, research effort has focused on target-specific agents, such as sorafenib, which blocks both the RAF/MEK/ERK signalling pathways and receptors involved in neovascularization and tumor progression, including VEGFR-2 and c-Kit. We investigated whether sorafenib would be synergistic with gemcitabine against NSCLC cell lines. MATERIALS AND METHODS: Human lung cancer cells A549, CALU-1, CALU-6, H23 and HCC 827 were treated with sorafenib and gemcitabine, alone or in combination, and the cytotoxicity was assessed with CellTiter 96 Non-radioactive cell proliferation kit. Cell cycle and apoptosis were investigated with flow cytometry and fluorescence microscopy, respectively. Moreover, the effects of drugs on Akt (S473), c-Kit (Y823) and ERK (pTpY185/187) phosphorylation were studied with ELISA. Finally, quantitative PCR analysis was performed to assess whether sorafenib and gemcitabine modulated the expression of genes related to drug activity. RESULTS: Gemcitabine and sorafenib synergistically interacted on the inhibition of cell proliferation, and assessment of apoptosis demonstrated that drug associations increased the apoptotic index. Sorafenib reduced c-Kit and ERK activation and gemcitabine inhibited Akt phosphorylation. Moreover quantitative PCR showed that sorafenib modulated the expression of targets related to gemcitabine activity, while gemcitabine induced the expression of RKIP. CONCLUSIONS: These data demonstrate that sorafenib and gemcitabine synergistically interact against NSCLC cells, through suppression of Akt, c-Kit and ERK phosphorylation, induction of apoptosis and modulation of dCK, RRM1, RRM2 and RKIP gene expression. The association between traditional cytotoxic agents with new target-specific agents, such as sorafenib, is a challenge for both clinical and preclinical future investigations in lung cancer treatments.

Synergistic cytotoxicity and molecular interaction on drug targets of sorafenib and gemcitabine in human pancreas cancer cells.

BACKGROUND: Current treatments have a modest impact on survival of pancreatic cancer patients and this study investigates the interaction between sorafenib and gemcitabine and the molecular pharmacodynamics of this combination. METHODS: The pancreatic cancer cells were treated with sorafenib and gemcitabine, alone or in combination. The effects of treatments were evaluated on cell proliferation, cell cycle, apoptosis, phosphorylation of Akt, c-Kit, ERK and VEGFR2, and expression of genes related to drug activity. RESULTS: Gemcitabine and sorafenib synergistically interacted on the inhibition of cell proliferation, and assessment of apoptosis demonstrated that drug associations increased the apoptotic index. Sorafenib reduced c-Kit, ERK and VEGFR2 activation and on the other hand, gemcitabine inhibited Akt phosphorylation. Moreover, quantitative PCR showed that sorafenib modulated the expression of genes related to gemcitabine activity, while gemcitabine induced the expression of RKIP. CONCLUSION: These data demonstrate that gemcitabine and sorafenib combination displays a synergistic effect in pancreatic cancer cells.

Hypertension and hand-foot skin reactions related to VEGFR2 genotype and improved clinical outcome following bevacizumab and sorafenib.

BACKGROUND: Hypertension (HT) and hand-foot skin reactions (HFSR) may be related to the activity of bevacizumab and sorafenib. We hypothesized that these toxicities would correspond to favorable outcome in these drugs, that HT and HFSR would coincide, and that VEGFR2 genotypic variation would be related to toxicity and clinical outcomes. METHODS: Toxicities (> or = grade 2 HT or HFSR), progression-free survival (PFS), and overall survival (OS) following treatment initiation were evaluated. Toxicity incidence and VEGFR2 H472Q and V297I status were compared to clinical outcomes. RESULTS: Individuals experiencing HT had longer PFS following bevacizumab therapy than those without this toxicity in trials utilizing bevacizumab in patients with prostate cancer (31.5 vs 14.9 months, n = 60, P = 0.0009), and bevacizumab and sorafenib in patients with solid tumors (11.9 vs. 3.7 months, n = 27, P = 0.052). HT was also linked to a > 5-fold OS benefit after sorafenib and bevacizumab cotherapy (5.7 versus 29.0 months, P = 0.0068). HFSR was a marker for prolonged PFS during sorafenib therapy (6.1 versus 3.7 months respectively, n = 113, P = 0.0003). HT was a risk factor for HFSR in patients treated with bevacizumab and/or sorafenib (OR(95%CI) = 3.2(1.5-6.8), P = 0.0024). Carriers of variant alleles at VEGFR2 H472Q experienced greater risk of developing HT (OR(95%CI) = 2.3(1.2 - 4.6), n = 170, P = 0.0154) and HFSR (OR(95%CI) = 2.7(1.3 - 5.6), n = 170, P = 0.0136). CONCLUSIONS: This study suggests that HT and HFSR may be markers for favorable clinical outcome, HT development may be a marker for HFSR, and VEGFR2 alleles may be related to the development of toxicities during therapy with bevacizumab and/or sorafenib.

5-fluorouracil pharmacokinetics predicts disease-free survival in patients administered adjuvant chemotherapy for colorectal cancer.

PURPOSE: To evaluate 5-fluorouracil (5-FU) and 5-fluoro-5,6-dihydrouracil (5-FDHU) pharmacokinetics and disease-free survival (DFS) in colorectal cancer patients given 5-FU-based adjuvant chemotherapy within a nonrandomized, retrospective, pharmacokinetic study. EXPERIMENTAL DESIGN: One hundred fifteen patients including 72 men (median age, 63 years; range, 36-79 years) and 43 women (median age, 60 years; range, 36-73 years) received 6 cycles of l-leucovorin 100 mg/m(2)/day and 5-FU 370 mg/m(2)/day i.v. boluses (5 days every 4 weeks). Individual plasma concentrations of 5-FU and 5-FDHU were determined on day 1 of the first cycle with a validated high performance liquid chromatography method, and the main pharmacokinetic variables were determined. Follow-up of all patients was extended up to 5 years after the end of adjuvant chemotherapy, and DFS was recorded. Univariate and multivariate analyses were conducted to evaluate any correlation among 5-FU pharmacokinetics, clinical and pathologic variables, and DFS. RESULTS: The area under the time/concentration curve (AUC) of 5-FU was significantly lower in 58 subjects who recurred (7.5 +/- 2.9 h x mg/L) with respect to other patients (9.3 +/- 4.1 h x mg/L). Furthermore, AUC values lower than 8.4 h x mg/L together with lymph node involvement and the interruption of treatment or reduction of doses were identified as risk factors at univariate analysis. The completion of 6 cycles of adjuvant treatment without dosage modifications was the only independent risk factor at multivariate analysis, despite a trend toward significance for 5-FU AUC values (cutoff value, 8.4 hxmg/L) was observed (P = 0.06). CONCLUSIONS: Pharmacokinetics of 5-FU should be regarded as an important factor for predicting disease recurrence in colorectal cancers.

Limited sampling model for the analysis of 5-fluorouracil pharmacokinetics in adjuvant chemotherapy for colorectal cancer.

BACKGROUND: Administration of 5-fluorouracil may be associated with life-threatening toxicities, resulting from a reduced drug biotransformation to the inactive metabolite 5-fluoro-5,6-dihydrouracil. Patients with severe toxicities display significant alterations of 5-fluorouracil pharmacokinetics, the monitoring of which may be made easier by the availability of a limited sampling model (LSM). METHODS: LSMs for 5-fluorouracil and 5-fluoro-5,6-dihydrouracil therapeutic monitoring have been developed in 80 patients with colorectal cancer (training set) given 5-fluorouracil, 370 mg/m(2) per day as an intravenous bolus, plus leucovorin, 100 mg/m(2) per day, for 5 days every 4 weeks. Pharmacokinetic analysis was performed on plasma levels of 5-fluorouracil and 5-fluoro-5,6-dihydrouracil obtained on day 1 of the first cycle of chemotherapy, and backward stepwise regression analysis was used to determine the optimal LSM on the basis of bias (percentage mean prediction error [MPE]) and precision (percentage root mean square prediction error [RMSE]). RESULTS: An optimal model based on 2 time points was obtained (percentage MPE = 1.99% +/- 1.41%; percentage RMSE = 12.70% +/- 1.27%), and the predicted area under the time versus plasma concentration curve (AUC) was calculated as follows: predicted AUC (h x microg/mL) = 0.119 x C(5) + 1.436 x C(45) + 2.066, in which C(5) and C(45) are plasma concentrations of 5-fluorouracil at 5 and 45 minutes after drug administration, respectively. The application of this algorithm to pharmacokinetic analysis of plasma levels of 5-fluorouracil in 80 patients (test set) allowed a precise estimation of AUC (percentage MPE = -0.09% +/- 1.37%; percentage RMSE = 12.17% +/- 1.23%). The best LSM for 5-fluoro-5,6-dihydrouracil was characterized by a percentage MPE of -0.64% +/- 0.86% and a percentage RMSE of 7.64% +/- 0.81%, and the optimal sampling time points were 45 and 180 minutes. CONCLUSION: The current LSM allows a reliable assessment of drug exposure and improves the use of therapeutic drug monitoring for treatment optimization of 5-fluorouracil in patients with cancer.

Relationship between plasma concentrations of 5-fluorouracil and 5-fluoro-5,6-dihydrouracil and toxicity of 5-fluorouracil infusions in cancer patients.

This study investigated the relationship among the pharmacokinetics of 5-fluorouracil (5-FU) and 5-fluoro-5,6-dihydrouracil (5-FDHU); the activity of dihydropyrimidine dehydrogenase (DPD) in peripheral blood mononuclear cells; and treatment-related toxicity in 26 patients with surgically resected colorectal cancer treated with short daily infusions of 5-FU adjuvant chemotherapy, each cycle consisting of 5 consecutive days every 4 weeks. After the first chemotherapeutic cycle, severe stomatitis and diarrhea occurred in 5 patients and were related to the variations in the systemic disposition of the drug rather than to DPD activity. These patients showed a significant decrease in 5-FU clearance, and an increase in the 5-FU/5-FDHU area under the time-concentration curve (AUC) ratio, as compared with patients who experienced mild toxicities, whereas a low DPD activity was observed in only 2 patients. In conclusion, the results of this study demonstrate that the alterations in 5-FU and 5-FDHU pharmacokinetics are related to severe toxicities in patients treated with short intravenous infusion of 5-FU.