A risk analysis of alpelisib-induced hyperglycemia in patients with advanced solid tumors and breast cancer.

BACKGROUND: Hyperglycemia is an on-target effect of PI3Kα inhibitors. Early identification and intervention of treatment-induced hyperglycemia is important for improving management of patients receiving a PI3Kα inhibitor like alpelisib. Here, we characterize incidence of grade 3/4 alpelisib-related hyperglycemia, along with time to event, management, and outcomes using a machine learning model. METHODS: Data for the risk model were pooled from patients receiving alpelisib ± fulvestrant in the open-label, phase 1 X2101 trial and the randomized, double-blind, phase 3 SOLAR-1 trial. The pooled population (n = 505) included patients with advanced solid tumors (X2101, n = 221) or HR+/HER2- advanced breast cancer (SOLAR-1, n = 284). External validation was performed using BYLieve trial patient data (n = 340). Hyperglycemia incidence and management were analyzed for SOLAR-1. RESULTS: A random forest model identified 5 baseline characteristics most associated with risk of developing grade 3/4 hyperglycemia (fasting plasma glucose, body mass index, HbA1c, monocytes, age). This model was used to derive a score to classify patients as high or low risk for developing grade 3/4 hyperglycemia. Applying the model to patients treated with alpelisib and fulvestrant in SOLAR-1 showed higher incidence of hyperglycemia (all grade and grade 3/4), increased use of antihyperglycemic medications, and more discontinuations due to hyperglycemia (16.7% vs. 2.6% of discontinuations) in the high- versus low-risk group. Among patients in SOLAR-1 (alpelisib + fulvestrant arm) with PIK3CA mutations, median progression-free survival was similar between the high- and low-risk groups (11.0 vs. 10.9 months). For external validation, the model was applied to the BYLieve trial, for which successful classification into high- and low-risk groups with shorter time to grade 3/4 hyperglycemia in the high-risk group was observed. CONCLUSIONS: A risk model using 5 clinically relevant baseline characteristics was able to identify patients at higher or lower probability for developing alpelisib-induced hyperglycemia. Early identification of patients who may be at higher risk for hyperglycemia may improve management (including monitoring and early intervention) and potentially lead to improved outcomes. REGISTRATION: ClinicalTrials.gov: NCT01219699 (registration date: October 13, 2010; retrospectively registered), ClinicalTrials.gov: NCT02437318 (registration date: May 7, 2015); ClinicalTrials.gov: NCT03056755 (registration date: February 17, 2017).

Canakinumab in combination with docetaxel compared with docetaxel alone for the treatment of advanced non-small cell lung cancer following platinum-based doublet chemotherapy and immunotherapy (CANOPY-2): A multicenter, randomized, double-blind, phase 3 trial.

OBJECTIVES: Canakinumab, an interleukin-1 beta inhibitor, previously showed reduced lung cancer incidence and mortality (CANTOS). Here, we compare the efficacy/safety of canakinumab versus placebo in patients with advanced non-small cell lung cancer (NSCLC) who had progressed after platinum-based doublet chemotherapy (PDC) and immunotherapy. MATERIALS AND METHODS: CANOPY-2, a randomized, double-blind, phase 3 trial, enrolled adult patients with stage IIIB/IV NSCLC, without EGFR or ALK alterations, who had received one prior PDC regimen and one prior programmed death-1/programmed death-ligand 1 inhibitor and experienced subsequent disease progression. Patients were randomized to canakinumab plus docetaxel or placebo plus docetaxel. RESULTS: A total of 237 patients were randomly allocated: 120 (51 %) to canakinumab and 117 (49 %) to placebo, stratified by histology and prior lines of therapy. Three patients in the placebo arm did not receive study treatment. The trial did not meet its primary endpoint of overall survival: median 10.6 months (95 % confidence interval [CI], 8.2-12.4) for the canakinumab arm and 11.3 months (95 % CI, 8.5-13.8) for the placebo arm (hazard ratio, 1.06 [95 % CI, 0.76-1.48]; one-sided P-value = 0.633). AEs (any grade) were reported in 95 % of patients in the canakinumab group and in 98 % of patients in the placebo group. Grade 3-4 AEs were experienced by 62 % and 64 % of patients in the canakinumab and placebo groups, respectively, and grade 5 AEs were experienced by 8 % and 5 %. Prespecified, post-hoc subgroup analyses showed that patients with undetected circulating tumor DNA (ctDNA) and/or lower levels (< 10 mg/L) of C-reactive protein (CRP) achieved longer progression-free and overall survival than those with detected ctDNA or higher (≥ 10 mg/L) CRP levels. There was no association with treatment arm. CONCLUSION: Adding canakinumab to docetaxel did not provide additional benefit for patients with advanced NSCLC who had progressed after PDC and immunotherapy. CLINICAL REGISTRATION: NCT03626545.

A Phase 1b/2 Study of Alpelisib in Combination with Cetuximab in Patients with Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma.

BACKGROUND: Alpelisib in combination with cetuximab showed synergistic anti-tumour activity in head and neck squamous cell carcinoma (HNSCC) models. OBJECTIVES: The recommended phase 2 dose (RP2D) was determined in a phase 1b dose-escalation study. Phase 2 evaluated anti-tumour activity with a randomised part in cetuximab-naïve patients and a non-randomised part in cetuximab-resistant patients. PATIENTS AND METHODS:  Alpelisib was administered in 28 d cycles as whole tablets, suspension from crushed tablets or suspension from dispersible tablets in patients with platinum-resistant, recurrent/metastatic HNSCC. RESULTS: The RP2D determined for alpelisib was 300 mg/d. Alpelisib-cetuximab achieved an overall response rate of 25% and 9.9% and disease control rate of 75% and 43.7% in phase 1b and phase 2 studies, respectively. Median progression-free survival (PFS) per central review was 86 d for combination treatment and 87 d for cetuximab monotherapy (unadjusted HR 1.12; 95% CI 0.69-1.82; P > 0.05). When adjusted for baseline covariates [sum of longest diameters from central data, haemoglobin and white blood cell (WBC), the results favoured combination treatment (adjusted HR 0.54; 95% CI 0.30-0.97; P = 0.039). PFS per investigator assessment resulted in an unadjusted HR of 0.76 (95% CI 0.49-1.19; P > 0.05) favouring combination treatment. The median PFS in cetuximab-resistant patients was 3.9 months. CONCLUSIONS: The addition of alpelisib to cetuximab did not demonstrate a PFS benefit in cetuximab-naïve patients with advanced HNSCC. The alpelisib-cetuximab combination showed moderate activity in cetuximab-resistant patients, with a consistent safety profile. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov NCT01602315; EudraCT 2011-006017-34.

Association of digital measures and self-reported fatigue: a remote observational study in healthy participants and participants with chronic inflammatory rheumatic disease.

Background: Fatigue is a subjective, complex and multi-faceted phenomenon, commonly experienced as tiredness. However, pathological fatigue is a major debilitating symptom associated with overwhelming feelings of physical and mental exhaustion. It is a well-recognized manifestation in chronic inflammatory rheumatic diseases, such as Sjögren's Syndrome and Systemic Lupus Erythematosus and an important predictor of patient's health-related quality of life (HRQoL). Patient reported outcome questions are the key instruments to assess fatigue. To date, there is no consensus about reliable quantitative assessments of fatigue. Method: Observational data for a period of one month were collected from 296 participants in the United States. Data comprised continuous multimodal digital data from Fitbit, including heart rate, physical activity and sleep features, and app-based daily and weekly questions covering various HRQoL factors including pain, mood, general physical activity and fatigue. Descriptive statistics and hierarchical clustering of digital data were used to describe behavioural phenotypes. Gradient boosting classifiers were trained to classify participant-reported weekly fatigue and daily tiredness from multi-sensor and other participant-reported data, and extract a set of key predictive features. Results: Cluster analysis of Fitbit parameters highlighted multiple digital phenotypes, including sleep-affected, fatigued and healthy phenotypes. Features from participant-reported data and Fitbit data both contributed as key predictive features of weekly physical and mental fatigue and daily tiredness. Participant answers to pain and depressed mood-related daily questions contributed the most as top features for predicting physical and mental fatigue, respectively. To classify daily tiredness, participant answers to questions on pain, mood and ability to perform daily activities contributed the most. Features related to daily resting heart rate and step counts and bouts were overall the most important Fitbit features for the classification models. Conclusion: These results demonstrate that multimodal digital data can be used to quantitatively and more frequently augment pathological and non-pathological participant-reported fatigue.

Unsupervised machine-learning algorithms for the identification of clinical phenotypes in the osteoarthritis initiative database.

OBJECTIVES: Osteoarthritis (OA) is a complex disease comprising diverse underlying patho-mechanisms. To enable the development of effective therapies, segmentation of the heterogenous patient population is critical. This study aimed at identifying such patient clusters using two different machine learning algorithms. METHODS: Using the progression and incident cohorts of the Osteoarthritis Initiative (OAI) dataset, deep embedded clustering (DEC) and multiple factor analysis with clustering (MFAC) approaches, including 157 input-variables at baseline, were employed to differentiate specific patient profiles. RESULTS: DEC resulted in 5 and MFAC in 3 distinct patient phenotypes. Both identified a "comorbid" cluster with higher body mass index (BMI), relevant burden of comorbidity and low levels of physical activity. Both methods also identified a younger and physically more active cluster and an elderly cluster with functional limitations, but low disease impact. The additional two clusters identified with DEC were subgroups of the young/physically active and the elderly/physically inactive clusters. Overall pain trajectories over 9 years were stable, only the numeric rating scale (NRS) for pain showed distinct increase, while physical activity decreased in all clusters. Clusters showed different (though non-significant) trajectories of joint space changes over the follow-up period of 8 years. CONCLUSION: Two different clustering approaches yielded similar patient allocations primarily separating complex "comorbid" patients from healthier subjects, the latter divided in young/physically active vs elderly/physically inactive subjects. The observed association to clinical (pain/physical activity) and structural progression could be helpful for early trial design as strategy to enrich for patients who may specifically benefit from disease-modifying treatments.

Integration of Pharmacokinetics, Pharmacodynamics, Safety, and Efficacy into Model-Informed Dose Selection in Oncology First-in-Human Study: A Case of Roblitinib (FGF401).

Model-informed dose selection has been drawing increasing interest in oncology early clinical development. The current paper describes the example of FGF401, a selective fibroblast growth factor receptor 4 (FGFR4) inhibitor, in which a comprehensive modeling and simulation (M&S) framework, using both pharmacometrics and statistical methods, was established during its first-in-human clinical development using the totality of pharmacokinetics (PK), pharmacodynamic (PD) biomarkers, and safety and efficacy data in patients with cancer. These M&S results were used to inform FGF401 dose selection for future development. A two-compartment population PK (PopPK) model with a delayed 0-order absorption and linear elimination adequately described FGF401 PK. Indirect PopPK/PD models including a precursor compartment were independently established for two biomarkers: circulating FGF19 and 7α-hydroxy-4-cholesten-3-one (C4). Model simulations indicated a close-to-maximal PD effect achieved at the clinical exposure range. Time-to-progression was analyzed by Kaplan-Meier method which favored a trough concentration (Ctrough )-driven efficacy requiring Ctrough above a threshold close to the drug concentration producing 90% inhibition of phospho-FGFR4. Clinical tumor growth inhibition was described by a PopPK/PD model that reproduced the dose-dependent effect on tumor growth. Exposure-safety analyses on the expected on-target adverse events, including elevation of aspartate aminotransferase and diarrhea, indicated a lack of clinically relevant relationship with FGF401 exposure. Simulations from an indirect PopPK/PD model established for alanine aminotransferase, including a chain of three precursor compartments, further supported that maximal target inhibition was achieved and there was a lack of safety-exposure relationship. This M&S framework supported a dose selection of 120 mg once daily fasted or with a low-fat meal and provides a practical example that might be applied broadly in oncology early clinical development.

Contribution of machine learning to tumor growth inhibition modeling for hepatocellular carcinoma patients under Roblitinib (FGF401) drug treatment.

Machine learning (ML) opens new perspectives in identifying predictive factors of efficacy among a large number of patients' characteristics in oncology studies. The objective of this work was to combine ML with population pharmacokinetic/pharmacodynamic (PK/PD) modeling of tumor growth inhibition to understand the sources of variability between patients and therefore improve model predictions to support drug development decisions. Data from 127 patients with hepatocellular carcinoma enrolled in a phase I/II study evaluating once-daily oral doses of the fibroblast growth factor receptor FGFR4 kinase inhibitor, Roblitinib (FGF401), were used. Roblitinib  PKs was best described by a two-compartment model with a delayed zero-order absorption and linear elimination. Clinical efficacy using the longitudinal sum of the longest lesion diameter data was described with a population PK/PD model of tumor growth inhibition including resistance to treatment. ML, applying elastic net modeling of time to progression data, was associated with cross-validation, and allowed to derive a composite predictive risk score from a set of 75 patients' baseline characteristics. The two approaches were combined by testing the inclusion of the continuous risk score as a covariate on PD model parameters. The score was found as a significant covariate on the resistance parameter and resulted in 19% reduction of its variability, and 32% variability reduction on the average dose for stasis. The final PK/PD model was used to simulate effect of patients' characteristics on tumor growth inhibition profiles. The proposed methodology can be used to support drug development decisions, especially when large interpatient variability is observed.

Alpelisib Plus Fulvestrant in PIK3CA-Altered and PIK3CA-Wild-Type Estrogen Receptor-Positive Advanced Breast Cancer: A Phase 1b Clinical Trial.

Importance: The phosphatidylinositol 3-kinase (PI3K) pathway is frequently activated in patients with estrogen receptor-positive (ER+), endocrine therapy-resistant breast cancers. Objective: To assess the maximum tolerated dose (MTD), safety, and activity of alpelisib, an oral, PI3Kα-specific inhibitor, plus fulvestrant in patients with ER+ advanced breast cancer (ABC). Design, Setting, and Participants: An open-label, single-arm, phase 1b study of alpelisib plus fulvestrant was conducted at 10 centers in 5 countries. Participants were 87 postmenopausal women with PIK3CA-altered or PIK3CA-wild-type ER+ ABC, whose cancer progressed during or after antiestrogen therapy. The study began enrolling patients October 5, 2010, and the data cutoff was March 22, 2017. Interventions: Escalating doses of alpelisib were administered once daily, starting at 300 mg, plus fixed-dose fulvestrant, 500 mg, in the dose-escalation phase; alpelisib at the recommended phase 2 dose plus fulvestrant in the dose-expansion phase. Main Outcomes and Measures: The primary end point was determination of the MTD of once-daily alpelisib plus fulvestrant. Secondary end points included safety and preliminary activity. Results: From October 5, 2010, to March 22, 2017, 87 women (median age: 58 years [range, 37-79 years]; median of 5 prior lines of antineoplastic therapy) received escalating once-daily doses of alpelisib (300 mg, n = 9; 350 mg, n = 8; 400 mg, n = 70) plus fixed-dose fulvestrant (500 mg). During dose escalation, dose-limiting toxic effects were reported in 1 patient (alpelisib, 400 mg): diarrhea (grade 2), vomiting, fatigue, and decreased appetite (all grade 3). The MTD of alpelisib when combined with fulvestrant was 400 mg once daily, and the recommended phase 2 dose was 300 mg once daily. Overall, the most frequent grade 3/4 adverse events with alpelisib, 400 mg, once daily (≥10% of patients), regardless of causality, were hyperglycemia (19 [22%]) and maculopapular rash (11 [13%]); 9 patients permanently discontinued therapy owing to adverse events. Median progression-free survival at the MTD was 5.4 months (95% CI, 4.6-9.0 months). Median progression-free survival with alpelisib, 300 to 400 mg, once daily plus fulvestrant was longer in patients with PIK3CA-altered tumors (9.1 months; 95% CI, 6.6-14.6 months) vs wild-type tumors (4.7 months; 95% CI, 1.9-5.6 months). Overall response rate in the PIK3CA-altered group was 29% (95% CI, 17%-43%), with no objective tumor responses in the wild-type group. Conclusions and Relevance: Alpelisib plus fulvestrant has a manageable safety profile in patients with ER+ ABC, and data suggest that this combination may have greater clinical activity in PIK3CA-altered vs wild-type tumors. Trial Registration: ClinicalTrials.gov identifier: NCT01219699.

Association of Somatic Driver Alterations With Prognosis in Postmenopausal, Hormone Receptor-Positive, HER2-Negative Early Breast Cancer: A Secondary Analysis of the BIG 1-98 Randomized Clinical Trial.

Importance: A range of somatic driver alterations has been described in estrogen receptor-positive, HER2-negative (ER+/HER2-) early breast cancer (BC); however, the clinical relevance is unknown. Objective: To investigate associations of driver alterations with prognosis and the role of PIK3CA mutations in prediction of benefit associated with endocrine therapy in postmenopausal patients with ER+/HER2- early BC treated with tamoxifen or letrozole. Design, Setting, and Participants: The Breast International Group (BIG) 1-98 trial randomized 8010 postmenopausal patients with hormone receptor-positive, operable, invasive BC to monotherapy with letrozole, tamoxifen, or a sequential strategy for 5 years. Driver alterations were characterized using next-generation sequencing in primary tumors from a subset of 764 patients from 7329 eligible patients with ER+/HER2- BC, with 841 distant recurrences after a median of 8.1 years of follow-up. To correct for the oversampling of distant recurrences, weighted analysis methods were used. This analysis was conducted from April 4, 2016, to November 30, 2016. Main Outcomes and Measures: The prevalence of driver alterations, associations with clinicopathologic factors, distant recurrence-free interval, and treatment interactions were analyzed. Multivariable analyses were performed to adjust for clinicopathologic factors. Results: Of 764 samples, 538 (70.4%), including 140 distant recurrence events, were successfully sequenced. Nineteen driver alterations were observed with 5% or greater frequency, with a mean of 4 alterations (range, 0-15) per tumor. PIK3CA mutations were the most common (49%) and were significantly associated with reduction in the risk for distant recurrence (hazard ratio [HR], 0.57; 95% CI, 0.38-0.85; P = .006). TP53 mutations (HR, 1.92; 95% CI, 1.21-3.04; P = .006), amplifications on 11q13 (HR, 2.14; 95% CI, 1.36-3.37; P = .001) and 8p11 (HR, 3.02; 95% CI, 1.88-4.84; P < .001), and increasing number of driver alterations (HR per additional alteration, 1.18; 95% CI, 1.11-1.25; P < .001) were associated with significantly greater risk. Amplifications on 11q13 and 8p11 remained significant predictors in multivariable analysis, but not PIK3CA and TP53 mutations. Patients with tumors harboring kinase or helical domain PIK3CA mutations derived significantly greater benefit from letrozole over tamoxifen than patients whose tumors did not (P interaction = .002). Conclusions and Relevance: In ER+/HER2- postmenopausal, early-stage BC, amplifications on 11q13 and 8p11 were significantly associated with increased risk for distant recurrence and PIK3CA mutations were predictive of greater magnitude of benefit from letrozole. With these findings, DNA-based classification may aid adjuvant treatment decision making in this setting. Trial Registration: ClinicalTrials.gov Identifier: NCT00004205.

Phase 1/1b dose escalation and expansion study of BEZ235, a dual PI3K/mTOR inhibitor, in patients with advanced solid tumors including patients with advanced breast cancer.

PURPOSE: To determine the maximum tolerated dose (MTD) of BEZ235, an oral inhibitor of class I PI3K and mTOR complexes 1 and 2. METHODS: We performed a phase I/Ib, multicenter, open-label study of oral BEZ235 administered in a continuous daily schedule. The study consisted of two parts: dose-escalation part and safety-expansion part. BEZ235 was administered as a single agent to patients with solid tumors or in combination with trastuzumab for HER2+ advanced breast cancer (aBC). Primary end points were MTD, safety, and tolerability. The secondary end point was pharmacokinetics. Other formulations of BEZ235, solid dispersion system (SDS) sachet, and SDS capsules were also assessed. RESULTS: One hundred and eighty-three patients were enrolled; single-agent BEZ235 was administered as hard gelatin capsule (n = 59), SDS capsules A and B (n = 33), and SDS sachet (n = 61), amongst which SDS sachet was chosen as the preferred formulation. The monotherapy MTD for capsule A and SDS sachet was determined to be 1000 and 1200 mg/day, respectively. Thirty patients with HER2+ aBC received BEZ235 in combination with trastuzumab. The MTD of BEZ235 in combination with trastuzumab was 600 mg/day. A total of four patients (13.3%) achieved partial response across the different groups. Most frequent AEs in single agent and combination cohorts included nausea (80.3 and 93.3%), diarrhea (75.4 and 80.0%), and vomiting (63.9 and 63.3%). CONCLUSIONS: The MTD of BEZ235 as single agent was 1200 and 600 mg/day with trastuzumab. Pharmacokinetic profiles showed low-to-moderate variability at low dose (10 mg) and high variability at high doses (100 mg and above). Gastrointestinal AEs were frequent at high doses.

Phosphatidylinositol 3-Kinase α-Selective Inhibition With Alpelisib (BYL719) in PIK3CA-Altered Solid Tumors: Results From the First-in-Human Study.

Purpose We report the first-in-human phase Ia study to our knowledge ( ClinicalTrials.gov identifier: NCT01219699) identifying the maximum tolerated dose and assessing safety and preliminary efficacy of single-agent alpelisib (BYL719), an oral phosphatidylinositol 3-kinase α (PI3Kα)-selective inhibitor. Patients and Methods In the dose-escalation phase, patients with PIK3CA-altered advanced solid tumors received once-daily or twice-daily oral alpelisib on a continuous schedule. In the dose-expansion phase, patients with PIK3CA-altered solid tumors and PIK3CA-wild-type, estrogen receptor-positive/human epidermal growth factor receptor 2-negative breast cancer received alpelisib 400 mg once daily. Results One hundred thirty-four patients received treatment. Alpelisib maximum tolerated doses were established as 400 mg once daily and 150 mg twice daily. Nine patients (13.2%) in the dose-escalation phase had dose-limiting toxicities of hyperglycemia (n = 6), nausea (n = 2), and both hyperglycemia and hypophosphatemia (n = 1). Frequent all-grade, treatment-related adverse events included hyperglycemia (51.5%), nausea (50.0%), decreased appetite (41.8%), diarrhea (40.3%), and vomiting (31.3%). Alpelisib was rapidly absorbed; half-life was 7.6 hours at 400 mg once daily with minimal accumulation. Objective tumor responses were observed at doses ≥ 270 mg once daily; overall response rate was 6.0% (n = 8; one patient with endometrial cancer had a complete response, and seven patients with cervical, breast, endometrial, colon, and rectal cancers had partial responses). Stable disease was achieved in 70 (52.2%) patients and was maintained > 24 weeks in 13 (9.7%) patients; disease control rate (complete and partial responses and stable disease) was 58.2%. In patients with estrogen receptor-positive/human epidermal growth factor receptor 2-negative breast cancer, median progression-free survival was 5.5 months. Frequently mutated genes (≥ 10% tumors) included TP53 (51.3%), APC (23.7%), KRAS (22.4%), ARID1A (13.2%), and FBXW7 (10.5%). Conclusion Alpelisib demonstrated a tolerable safety profile and encouraging preliminary activity in patients with PIK3CA-altered solid tumors, supporting the rationale for selective PI3Kα inhibition in combination with other agents for the treatment of PIK3CA-mutant tumors.

A phase Ib dose-escalation study of the oral pan-PI3K inhibitor buparlisib (BKM120) in combination with the oral MEK1/2 inhibitor trametinib (GSK1120212) in patients with selected advanced solid tumors.

PURPOSE: MAPK and PI3K/AKT/mTOR pathways play important roles in many tumors. In this study, safety, antitumor activity, and pharmacokinetics of buparlisib (pan class PI3K inhibitor) and trametinib (MEK inhibitor) were evaluated. EXPERIMENTAL DESIGN: This open-label, dose-finding, phase Ib study comprised dose escalation, followed by expansion part in patients with RAS- or BRAF-mutant non-small cell lung, ovarian, or pancreatic cancer. RESULTS: Of note, 113 patients were enrolled, 66 and 47 in dose-escalation and -expansion parts, respectively. MTD was established as buparlisib 70 mg + trametinib 1.5 mg daily [5/15, 33% patients with dose-limiting toxicities (DLT)] and recommended phase II dose (RP2D) buparlisib 60 mg + trametinib 1.5 mg daily (1/10, 10% patients with DLTs). DLTs included stomatitis (8/103, 8%), diarrhea, dysphagia, and creatine kinase (CK) increase (2/103, 2% each). Treatment-related grade 3/4 adverse events (AEs) occurred in 73 patients (65%); mainly CK increase, stomatitis, AST/ALT (aspartate aminotransferase/alanine aminotransferase) increase, and rash. For all (21) patients with ovarian cancer, overall response rate was 29% [1 complete response, 5 partial responses (PR)], disease control rate 76%, and median progression-free survival was 7 months. Minimal activity was observed in patients with non-small cell lung cancer (1/17 PR) and pancreatic cancer (best overall response was SD). Relative to historical data, buparlisib exposure increased and trametinib exposure slightly increased with the combination. CONCLUSIONS: At RP2D, buparlisib 60 mg + trametinib 1.5 mg daily shows promising antitumor activity for patients with KRAS-mutant ovarian cancer. Long-term tolerability of the combination at RP2D is challenging, due to frequent dose interruptions and reductions for toxicity.

Phase I, dose-escalation study of BKM120, an oral pan-Class I PI3K inhibitor, in patients with advanced solid tumors.

PURPOSE: This phase I dose-escalation study investigated the maximum-tolerated dose (MTD), safety, preliminary activity, pharmacokinetics (PK), and pharmacodynamics of BKM120, a potent and highly specific oral pan-Class I PI3K inhibitor. PATIENTS AND METHODS: Thirty-five patients with advanced solid tumors received daily BKM120 12.5 to 150 mg. Dose escalation was guided by a Bayesian logistic regression model with overdose control. Assessments included archival tumor molecular status, response by Response Evaluation Criteria in Solid Tumors (RECIST), positron emission tomography tracer uptake ([(18)F]fluorodeoxyglucose positron emission tomography [FDG-PET]), fasting plasma C-peptide, and phosphorylated ribosomal protein S6 (pS6) in skin biopsies. RESULTS: Overall, treatment was well tolerated. Dose-limiting toxicities were grade 2 mood alteration (80 mg), grade 3 epigastralgia, grade 3 rash, grade 2 and grade 3 mood alteration (100 mg), and two grade 4 hyperglycemia (150 mg). The MTD was 100 mg/d. Frequent treatment-related adverse events included rash, hyperglycemia, diarrhea, anorexia, and mood alteration (37% each); nausea (31%); fatigue (26%); pruritus (23%); and mucositis (23%). BKM120 demonstrated rapid absorption, half-life of ∼40 hours, ∼three-fold steady-state accumulation, dose-proportional exposure, and moderate interpatient variability. One patient demonstrated a confirmed partial response (triple-negative breast cancer); seven patients (20%) were on study for ≥ 8 months. BKM120 demonstrated dose-dependent pharmacodynamic effects on [(18)F]FDG-PET, fasting C-peptide, fasting blood glucose, and pS6. No significant trends were seen to correlate tumor molecular alterations with clinical activity. CONCLUSION: This study demonstrates feasibility and proof-of-concept of class I PI3K inhibition in patients with advanced cancers. BKM120, at the MTD of 100 mg/d, is safe and well tolerated, with a favorable PK profile, clear evidence of target inhibition, and preliminary antitumor activity.

Cross-cultural validation of a prognostic tool: example of the Kattan preoperative nomogram as a predictor of prostate cancer recurrence after radical prostatectomy.

OBJECTIVE: To establish the predictive accuracy of the Kattan preoperative nomogram by comparing predictions at 5 years with actual progression in patients who had a radical prostatectomy (RP). MATERIALS AND METHODS: We reviewed the data for 928 patients treated by RP as a first-line treatment for localized prostate cancer, between 1994 and 2005. Recurrence was defined as one prostate-specific antigen (PSA) level of >0.4 ng/mL. The 5-year progression-free probability (PFP) rate was evaluated on censured data using the Kaplan-Meier method. Relationships between all predictor variables included in the Kattan nomogram (PSA level, biopsy Gleason scores and clinical stage) and survival were evaluated by Cox proportional-hazards regression analysis. The discriminating ability of the nomogram was assessed by the concordance index (c-index). Bootstrapping was used to assess confidence intervals (CIs), and then the calibration was assessed. RESULTS: The median follow-up was 60 months. Overall, 177 (19%) patients had a recurrence; the 5-year PFP rate (95% CI) was 80.9 (78-83)%. Of the three variables included in the nomogram, all were associated with recurrence in a multivariate analysis (P < 0.001). The c-index (95% CI) was only 0.664 (0.584-0.744). In general, the nomogram was not well calibrated. CONCLUSIONS: There was a discrepancy between the predicted PFP as estimated by the Kattan nomogram and actual relapse in this group of patients. Clinicians should be aware that the nomogram is less accurate when used outside the population used to formulate the nomogram. Although more accurate tools are needed, the Kattan nomogram is still the best choice for urologists so far.