The purpose of this analysis was to develop a population pharmacokinetic (PK) model for patritumab, a fully human monoclonal antibody that targets human epidermal growth factor receptor 3.
A total of 833 serum concentrations were included in this analysis; serum concentrations were obtained from 145 subjects (136 with non-small cell lung cancer, nine with solid tumors) treated with patritumab [9 or 18 mg/kg intravenously every 3 weeks (q3w)] in one phase 1 and one phase 1b/2 study. Data were analyzed by nonlinear mixed-effect modeling.
Patritumab PKs were best described through a two-compartment model with first-order elimination and interindividual variability on clearance (CL), volume of the central compartment (V c), distributional clearance, and volume of the peripheral compartment. In the final model, CL and V c were estimated as 0.0238 L/h and 3.62 L, respectively. Body weight (BW) and baseline albumin were found to be covariates for CL and BW was a covariate for V c. Covariates associated with hepatic and renal impairment were not significant on CL. Simulations showed that BW-based dosing reduced interindividual variability in patritumab exposure compared with fixed dosing.
The PK of patritumab was linear at the doses studied and well described by the two-compartment model. Hepatic and renal impairment did not appear to affect PK. Our results support BW-based dosing of patritumab on a q3w schedule.

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Reported here is the application of silver nanoparticle-based surface-enhanced Raman spectroscopy (SERS) as a label-free, non-invasive technique for detection of oral squamous cell cancer (OSCC) using saliva and desquamated oral cells. A total of 180 SERS spectra were acquired from saliva and 120 SERS spectra from oral cells collected from normal healthy individuals and from confirmed oropharyngeal cancer patients. Notable biochemical peaks in the SERS spectra were tentatively assigned to various components. Data were subjected to multivariate statistical techniques including principal component analysis and linear discriminate analysis (PCA-LDA) revealing a sensitivity of 89% and 68% and a diagnostic accuracy of 73% and 60% for saliva and oral cells, respectively. The results from this study demonstrate the potential of saliva and oral cell SERS combined with PCA-LDA diagnostic algorithms as a promising clinical adjunct for the non-invasive detection of oral cancer.
Copyright © 2015. Published by Elsevier Inc.

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To determine the feasibility and clinical utility of using comprehensive genomic profiling (CGP) in the course of clinical care to identify clinically relevant tumor genomic alterations for patients with either rare or refractory gynecologic cancers to facilitate point-of-care management. Use of an expert, multidisciplinary, institutional molecular tumor board (MTB) assessment is discussed regarding input on putative targeted options for individualized therapy.
A prospective clinical trial is ongoing. We report on the initial 69 patients with gynecologic cancers that were either rare or refractory to standard therapy. CGP was performed by Foundation Medicine, Inc. Genomic alterations were reviewed by members of an MTB. Consensus recommendations on genomically targeted, FDA-approved, on- and off-label therapies and clinical trials were sent to the treating physician, and decisions and outcomes were assessed.
Study outcomes were available for 64 patients. The mean number of genes altered per tumor was 4.97 (median=4; range, 1-26), and the average turnaround time from testing laboratory report to generation of formal recommendations was approximately three weeks. Evaluation of genomic and clinical data by the MTB led to generation of targeted treatment options in all 64 patients, and the percentage of patients for whom one or more of these recommendations were implemented by the treating physician was 39%. Sixty-four percent of the patients receiving targeted therapy based on a CGP result experienced radiologic response or showed evidence of clinical benefit or stable disease.
These data suggest that an institutional MTB is a feasible venue for reviewing tumor genomic profiling results and generating clinical recommendations. These data also support the need for further studies and guidelines on clinical decision making with greater availability of broad genomically based diagnostics.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Despite progress in the treatment of chemotherapy/radiotherapy-induced nausea and vomiting (CINV/RINV), their management remains insufficient.
In order to evaluate the incidence and impact of CINV/RINV on the quality of life perceived by patients and estimated by clinicians, a declarative, cross-sectional survey was conducted in France through an online questionnaire.
This survey included 187 participants: 75 oncologists, 35 oncology nurses and 77 patients. Clinicians over-estimated the incidence of CINV/RINV, but underestimated their impact on the quality of life of patients. The sub-optimal prescription of anti-emetic treatments was more prominent when the therapy administered had low or medium emetogenic potential. Only 30% of patients rated their nausea and vomiting as controlled from the start. A major proportion of patients (68%) declared poor compliance with their anti-emetic regimen. The acceptance of CINV/RINV as normal side effects of the chemotherapy/radiotherapy (51%) led the patients not to report them, thus limiting their active management. The number of drugs to absorb, and the fear that the action of swallowing the pill would induce nausea or vomiting were also quoted by the patients as compliance-limiting factors.
The perceptual gap between clinicians and patients regarding the incidence and impact of CINV/RINV contributes to a sub-optimal level of anti-emetic cover and control. The anti-emetic regimen needs to be regularly assessed and adapted to the patient in order to improve CINV/RINV management.
Copyright © 2016 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.

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Patient-reported outcomes have been associated with survival in numerous studies across cancer types, including breast cancer. However, the Brief Pain Inventory-Short Form (BPI-SF) and the Rotterdam Symptom Checklist (RSCL) have rarely been investigated in this regard in breast cancer.
Here we describe a post hoc analysis of the prognostic effect of baseline scores of these instruments on survival in a phase III trial of patients with advanced breast cancer who received gemcitabine plus paclitaxel or paclitaxel alone after anthracycline-based adjuvant or neoadjuvant therapy. The variables for this analysis were baseline BPI-SF "worst pain" and BPI-SF "pain interference" scores, and four RSCL subscales (each transformed to 0-100). Univariate and multivariate Cox models were used, the latter in the presence of 11 demographic/clinical variables. Kaplan-Meier curves and log-rank tests were used to compare survival for patients by BPI-SF or RSCL scores.
Of 529 randomized patients, 286 provided BPI-SF data and 336 provided RSCL data at baseline. Univariate analyses identified BPI-SF worst pain and pain interference (both hazard ratios [HR], 1.07 for a 1-point increase; both p ≤ 0.0061) and three of four RSCL subscales [activity level, physical distress, and health-related quality of life (HRQOL) (HR, 0.86-0.91 for 10-point increase all p ≤ 0.0104)], to have significant prognostic effect for survival. BPI-SF worst pain (p = 0.0342) and RSCL activity level (p = 0.0004) were prognostic in the multivariate analysis. Median survival for patients categorized by BPI-SF worst pain score was 23.8 (n = 91), 17.9 (n = 94) and 14.6 (n = 94) months for scores 0, 1-4, and 5-10, respectively (log-rank p = 0.0065). Median survival was 23.8 and 14.6 months for patients (n = 330) with above- and below-median RSCL activity level scores respectively (log-rank p < 0.0001).
Pretreatment BPI-SF worst pain and RSCL activity scores provide distinct prognostic information for survival in patients receiving paclitaxel or gemcitabine plus paclitaxel for advanced breast cancer even after controlling for multiple demographic and clinical factors.
Clinicaltrials.gov, NCT00006459 .

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