Citations

Abstract Purpose: Investigate the utility of patient-specific spatial predictions of tumor cell density from a bio-mathematical model. Introduction: Glioblastomas (GBMs) are the most malignant of all primary brain tumors. While it is known there is always a non-detectable portion of the tumor, current techniques of monitoring GBM progression, imaging and initial histological assessment, are not able to reliably estimate the tumor invasion past the enhancing region on T2-Weighted (T2W) imaging. Over the last two decades, a large effort has been made to create a simple patient-specific mathematical model of gliomas. The resulting model, referred to as the Proliferation-Invasion (PI) model, is based on two key parameters, the net growth rate, ρ, and the dispersal coefficient, D. In this model, the ratio of D/ρ is related to degree of invasion and the product D*ρ, is related to the speed of growth. The intuitive understanding provided by this model has been able to provide patient-specific understanding of disease kinetics enabling prediction of outcomes following surgical resection, radiation and the development of a prognostic response metric. Previous literature utilizing this model has been based on the assumption that what is seen on the pretreatment T1-Weighted contrast-enhanced (T1Gd) and T2W, images correspond to an 80% and 16% tumor cell density threshold respectively. This assumption allows for an estimate of D/ρ from a single time point of imaging. While these values were based on extensive experience, for ethical and technical reasons, they have never been rigorously investigated histologically. Recent technological advances have made it possible for surgeons to use an MRI to guide the acquisition of tissue making it possible to know with a good degree of accuracy where on the MR image the histological specimen comes from. Methods: Model Calibration : To estimate D/ρ for each patient, we assume abnormalities on the T1Gd and T2W images correspond to an 80% and 16% tumor cell density threshold respectively. We then utilize a Bayesian calibration approach based on adaptive grid refinement while holding the velocity constant to find the most likely value of D/ρ to match the observed radial measurements. Three-Dimensional Density Maps : Given a gray/white segmentation and an estimate for D/ρ, we can build a tumor cell density prediction in the patient's anatomy using the Eikonal equations and the modified Fast Marching Method (FMM) algorithm presented by Konukoglu et al. Patient Cohort : Eighteen patients were recruited with clinically suspected GBM undergoing preoperative stereotactic MRI for surgical resection with IRB approval Barrow Neurological Institute and Mayo Clinic in Arizona. Surgical Biopsy : Pre-operative conventional MRI, including T1Gd and T2W, was utilized to guide stereotactic biopsies. An average of 5–6 tissue specimens were acquired from each tumor by using stereotactic surgical localization, following the smallest possible diameter craniotomies to minimize brain shift. Histological Analysis : 4 μm tissue sections were stained with hematoxylin and eosin (H&E) for neuropathology review. H&E slides were reviewed by a neuropathologist. The percent tumor nuclei in the field was estimated. Results and Conclusion: Our analysis showed that the intuitive ordering of diffuse to nodular tumor profiles from the PI model is consistent with the histologic data. Further, utilizing the histologic data, limitations to a universal threshold cutoff of the T2/FLAIR region are specified and a better threshold cutoff value is suggested. We hope that this paper will lead to more studies of this kind resulting in more accurate ways to predict the spatial distribution of GBM tumor cells from medical imaging. Such advances could revolutionize surgical procedures and radiation therapy and may enable additional insights into tumor kinetic differences meaningful for treatment. Citation Format: Andrea Hawkins-Daarud, Lauren DeGirolamo, Joshua Jacobs, Kamala Clark-Swanson, Jennifer M. Eschbacher, Kris A. Smith, Peter Nakaji, Leslie C. Baxter, John P. Karis, Teresa Wu, J. Ross Mitchell, Jing Li, Leland Hu, Kristin R. Swanson. Histologic evidence for a bio-mathematical model of glioblastoma invasion. [abstract]. In: Proceedings of the AACR Special Conference on Engineering and Physical Sciences in Oncology; 2016 Jun 25-28; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2017;77(2 Suppl):Abstract nr A08.

ObjectiveTo evaluate the use of monosyllabic word recognition versus sentence recognition to determine candidacy and long‐term benefit for cochlear implantation.Study DesignProspective multi‐center single‐subject design.MethodsA total of 21 adults aged 18 years and older with bilateral moderate to profound sensorineural hearing loss and low monosyllabic word scores received unilateral cochlear implantation. The consonant‐nucleus‐consonant (CNC) word test was the central measure of pre‐ and postoperative performance. Additional speech understanding tests included the Hearing in Noise Test sentences in quiet and AzBio sentences in +5 dB signal‐to‐noise ratio (SNR). Quality of life (QoL) was measured using the Abbreviated Profile of Hearing Aid Benefit and Health Utilities Index.ResultsPerformance on sentence recognition reached the ceiling of the test after only 3 months of implant use. In contrast, none of the participants in this study reached a score of 80% on CNC word recognition, even at the 12‐month postoperative test interval. Measures of QoL related to hearing were also significantly improved following implantation.ConclusionResults of this study demonstrate that monosyllabic words are appropriate for determining preoperative candidate and measuring long‐term postoperative speech recognition performance.Level of Evidence2c. Laryngoscope, 127:2368–2374, 2017

335 Background: CCA is a hepatobiliary malignancy with poor prognosis and few treatment options following cytotoxic therapy in the first-line metastatic setting. The fibroblast growth factor receptor (FGFR) axis may promote CCA tumorigenesis. FGFR2 fusions (in up to 17% of intrahepatic CCAs) may predict FGFR inhibitor sensitivity. A prior phase 1 trial of the selective pan-FGFR inhibitor BGJ398 showed antitumor activity in a pt with CCA harboring an FGFR2 fusion. Methods: This ongoing phase 2, open-label study is evaluating oral BGJ398 125 mg once daily on a 3-week-on/1-week-off schedule (28-day cycle) in pts with advanced or metastatic CCA with FGFR2 fusions (n ≈ 40) or other FGFR genetic alterations (n ≤ 15) who progressed after cisplatin/gemcitabine or are cisplatin intolerant (NCT02150967). The primary endpoint is investigator-assessed overall response rate (ORR) per RECIST v1.1. Secondary endpoints include progression-free survival, best overall response (BOR), disease control rate (DCR), overall survival, safety, and pharmacokinetics. Results: As of 10 July 2015, 26 pts with CCA harboring FGFR2 fusions (n = 22) or other FGFR alterations (n = 4), pretreated with 1 to ≥ 4 prior regimens, were enrolled. Common adverse events (AEs; ≥ 20% of pts), were hyperphosphatemia (50%), fatigue (42%), constipation (38%), cough (23%), and nausea (23%). Grade 3/4 AEs occurring in ≥ 2 pts were hyper/hypophosphatemia, lipase increase, and hyponatremia. AEs were manageable, reversible, and rarely led to treatment discontinuation. Among 22 pts evaluable for BOR, 3 achieved partial response and 15 had stable disease, including 10 with tumor reductions (-41%, n = 1; -2% to -29%, n = 9). Overall DCR was 82%. As of the cutoff date, 18 pts remained on therapy, of which 13 were on for > 120 days. Kaplan-Meier estimated lower limit (95% CI) of median time on study was 143 days. Conclusions: BGJ398 shows impressive anti-tumor activity and a manageable safety profile in pts with advanced FGFR-altered CCA, an indication of high unmet medical need. Updated data including additional responses post data cutoff will be presented. Clinical trial information: NCT02150967.

PURPOSE: Hot flashes can be a prominent problem in women with a history of breast cancer. Given concerns regarding the use of hormonal therapies in such patients, other nonhormonal means for treating hot flashes are required. Based on anecdotal information regarding the efficacy of fluoxetine and other newer antidepressants for treating hot flashes, the present trial was developed. PATIENTS AND METHODS: This trial used a double-blinded, randomized, two-period (4 weeks per period), cross-over methodology to study the efficacy of fluoxetine (20 mg/d) for treating hot flashes in women with a history of breast cancer or a concern regarding the use of estrogen (because of breast cancer risk). Eligible patients had to have reported that they averaged at least 14 hot flashes per week; they could have received tamoxifen or raloxifene as long as they were on a stable dose. The major outcome measure was a bivariate construct representing hot flash frequency and hot flash score, analyzed by a classic sums and differences cross-over analysis. RESULTS: Eighty-one randomized women began protocol therapy. By the end of the first treatment period, hot flash scores (frequency × average severity) decreased 50% in the fluoxetine arm versus 36% in the placebo arm. Cross-over analysis demonstrated a significantly greater marked hot flash score improvement with fluoxetine than placebo (P = .02). The results were not adjusted for potential confounding influences, including age and tamoxifen use. The fluoxetine was well tolerated. CONCLUSION: This dose of fluoxetine resulted in a modest improvement in hot flashes.

Summary Objectives To evaluate obesity and overweight in children with congenital adrenal hyperplasia ( CAH ) and associations with glucocorticoids, fludrocortisone and disease control. Adjusting body mass index‐for‐height‐age ( BMI HA ) percentile is proposed to correct misclassification of obese/overweight status in CAH children with advanced bone age and tall‐for‐age stature. Design Longitudinal. Patients One hundred and ninety‐four children with CAH seen from 1970 to 2013: 124 salt wasting ( SW ); 70 simple virilizing ( SV ); 102 females. Measurements Body mass index (BMI) end‐points were overweight (85–94 percentile) and obese (≥95 percentile). Results Approximately 50% of the children had at least one BMI measurement ≥95 percentile and about 70% had at least one ≥85 percentile. Using BMI HA percentiles, obesity incidence decreased slightly in SW children (47–43%) and markedly in SV children (50–33%); however, overweight status was not reduced. Only 6% of SW and 1% of SV children were persistently obese (≥3 clinic visits) when BMI HA was applied, whereas overweight status persisted in 35% of SW and 33% of SV children. Most obesity or overweight when using BMI HA occurred before age 10 and there was no association with hydrocortisone (HC) or fludrocortisone dosing. Adiposity rebound for SW children occurred by 3·3 years and in SV females by age 3·8 years, over a year earlier than the adiposity rebound for healthy children. Conclusion Children with CAH are at higher risk for early onset obesity and overweight with or without using BMI HA but rates of persistent obesity were lower than previously reported. Careful HC dosing during early childhood is needed to prevent increased weight gain and an early adiposity rebound.