Citations

Purpose No standard treatment exists for patients with cholangiocarcinoma for whom first-line gemcitabine-based therapy fails. Fibroblast growth factor receptor 2 ( FGFR2) fusions/translocations are present in 13% to 17% of intrahepatic cholangiocarcinomas. BGJ398, an orally bioavailable, selective pan-FGFR kinase inhibitor, has shown preliminary clinical activity against tumors with FGFR alterations. Methods A multicenter, open-label, phase II study ( ClinicalTrials.gov identifier: NCT02150967) evaluated BGJ398 antitumor activity in patients age ≥ 18 years with advanced or metastatic cholangiocarcinoma containing FGFR2 fusions or other FGFR alterations whose disease had progressed while receiving prior therapy. Patients received BGJ398 125 mg once daily for 21 days, then 7 days off (28-day cycles). The primary end point was investigator-assessed overall response rate. Results Sixty-one patients (35 women; median age, 57 years) with FGFR2 fusion (n = 48), mutation (n = 8), or amplification (n = 3) participated. At the prespecified data cutoff (June 30, 2016), 50 patients had discontinued treatment. All responsive tumors contained FGFR2 fusions. The overall response rate was 14.8% (18.8% FGFR2 fusions only), disease control rate was 75.4% (83.3% FGFR2 fusions only), and estimated median progression-free survival was 5.8 months (95% CI, 4.3 to 7.6 months). Adverse events included hyperphosphatemia (72.1% all grade), fatigue (36.1%), stomatitis (29.5%), and alopecia (26.2%). Grade 3 or 4 treatment-related adverse events occurred in 25 patients (41%) and included hyperphosphatemia (16.4%), stomatitis (6.6%), and palmar-plantar erythrodysesthesia (4.9%). Conclusion BGJ398 is a first-in-class FGFR kinase inhibitor with manageable toxicities that shows meaningful clinical activity against chemotherapy-refractory cholangiocarcinoma containing FGFR2 fusions. This promising antitumor activity supports continued development of BGJ398 in this highly selected patient population.

AbstractA 27‐gene panel was used for next‐generation sequencing (NGS) in 179 patients (median age 73 years) with primary myelodysplastic syndromes (MDS); risk distribution according to the revised International Prognostic Scoring System (IPSS‐R) was 11% very high, 18% high, 17% intermediate, 38% low and 16% very low. At least one mutation/variant was detected in 147 (82%) patients; 23% harbored three or more mutations/variants. The most frequent mutations/variants included ASXL1 (30%), TET2 (25%), SF3B1 (20%), U2AF1 (16%), SRSF2 (16%), TP53 (13%), RUNX1 (11%), and DNMT3A (10%). At a median follow up of 30 months, 148 (83%) deaths and 26 (15%) leukemic transformations were recorded. Multivariable analysis of mutations/variants identified ASXL1 (HR 1.7, 95% CI 1.2‐2.5), SETBP1 (HR 4.1, 95% CI 1.6‐10.2) and TP53 (HR 2.2, 95% CI 1.3‐3.4) as risk factors for overall and SRSF2 (HR 3.9, 95% CI 1.5‐10.2), IDH2 (HR 3.7, 95% CI 1.2‐11.4), and CSF3R (HR 6.0, 95% CI 1.6‐22.6) for leukemia‐free survival. Addition of age to the multivariable model did not affect these results while accounting for IPSS‐R weakened the significance of TP53 mutations/variants (P = .1). An apparently favorable survival impact of SF3B1 mutations was no longer evident after adjustment for IPSS‐R. Approximately 41% and 20% of patients harbored at least one adverse mutation/variant for overall and leukemia‐free survival, respectively. Number of mutations/variants did not provide additional prognostic value. The survival impact of adverse mutations was most evident in IPSS‐R very low/low risk patients. These observations suggest that targeted NGS might assist in treatment decision‐making in lower risk MDS.

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.

AbstractPurposeTo assess the change and interrelationship of the field of binocular single vision (BSV) and the quality of life (QoL), tested with two different tools, after one or two strabismus surgeries in patients with Graves' orbitopathy (GO).MethodsProspectively, consecutive patients with GO who were scheduled for their first strabismus surgery were recruited from five centres specialized in the treatment of GO. One week preoperatively and 3 months after the last operation, a full ophthalmic and orthoptic examination was performed. Change in field of BSV, GO‐QoL and thyroid eye disease‐QoL (TED‐QoL) was recorded.ResultsA total of 59 met all the eligibility criteria of whom 15 underwent two strabismus operations. The median (interquartile range) preoperative score of the field of BSV was 0 (0–0), which improved to 73 (53–85) after the correction(s) (p < 0.001). After the first surgery, a significant higher score of the field of BSV was found in the patients who underwent one operation (76; 60–86) compared with those who underwent two 0 (0–63) operations (p < 0.001). After the second surgery, this score increased to 62 (40–76; p = 0.05). A moderate correlation was found between the score of the field of BSV and the GO‐QoL visual functioning (VF) questionnaires (r = 0.485; p < 0.001). Both the GO‐QoL and TED‐QoL for VF and appearance (AP) showed significantly higher scores after the treatment (p < 0.001).ConclusionAfter strabismus surgery in GO patients, both the field of BSV and quality of life questionnaires increase. In approximately 30% of the patients, an additional strabismus surgery is performed. This second surgery significantly expands the field of BSV and the quality of life.

The concept of optimizing health care by understanding and generating knowledge from previous evidence, ie, the Learning Health-care System (LHS), has gained momentum and now has national prominence. Meanwhile, the rapid adoption of electronic health records (EHRs) enables the data collection required to form the basis for facilitating LHS. A prerequisite for using EHR data within the LHS is an infrastructure that enables access to EHR data longitudinally for health-care analytics and real time for knowledge delivery. Additionally, significant clinical information is embedded in the free text, making natural language processing (NLP) an essential component in implementing an LHS. Herein, we share our institutional implementation of a big data-empowered clinical NLP infrastructure, which not only enables health-care analytics but also has real-time NLP processing capability. The infrastructure has been utilized for multiple institutional projects including the MayoExpertAdvisor, an individualized care recommendation solution for clinical care. We compared the advantages of big data over two other environments. Big data infrastructure significantly outperformed other infrastructure in terms of computing speed, demonstrating its value in making the LHS a possibility in the near future.

Background The greatest potential to reduce the burden of stroke is by primary prevention of first-ever stroke, which constitutes three quarters of all stroke. In addition to population-wide prevention strategies (the ‘mass’ approach), the ‘high risk’ approach aims to identify individuals at risk of stroke and to modify their risk factors, and risk, accordingly. Current methods of assessing and modifying stroke risk are difficult to access and implement by the general population, amongst whom most future strokes will arise. To help reduce the burden of stroke on individuals and the population a new app, the Stroke Riskometer™, has been developed. We aim to explore the validity of the app for predicting the risk of stroke compared with current best methods. Methods 752 stroke outcomes from a sample of 9501 individuals across three countries (New Zealand, Russia and the Netherlands) were utilized to investigate the performance of a novel stroke risk prediction tool algorithm (Stroke Riskometer™) compared with two established stroke risk score prediction algorithms (Framingham Stroke Risk Score [FSRS] and QStroke). We calculated the receiver operating characteristics (ROC) curves and area under the ROC curve (AUROC) with 95% confidence intervals, Harrels C-statistic and D-statistics for measure of discrimination, R2 statistics to indicate level of variability accounted for by each prediction algorithm, the Hosmer-Lemeshow statistic for calibration, and the sensitivity and specificity of each algorithm. Results The Stroke Riskometer™ performed well against the FSRS five-year AUROC for both males (FSRS = 75·0% (95% CI 72·3%–77·6%), Stroke Riskometer™ = 74·0(95% CI 71·3%–76·7%) and females [FSRS = 70·3% (95% CI 67·9%–72·8%, Stroke Riskometer™ = 71·5% (95% CI 69·0%–73·9%)], and better than QStroke [males–59·7% (95% CI 57·3%–62·0%) and comparable to females = 71·1% (95% CI 69·0%–73·1%)]. Discriminative ability of all algorithms was low (C-statistic ranging from 0·51–0·56, D-statistic ranging from 0·01–0·12). Hosmer-Lemeshow illustrated that all of the predicted risk scores were not well calibrated with the observed event data ( P < 0·006). Conclusions The Stroke Riskometer™ is comparable in performance for stroke prediction with FSRS and QStroke. All three algorithms performed equally poorly in predicting stroke events. The Stroke Riskometer™ will be continually developed and validated to address the need to improve the current stroke risk scoring systems to more accurately predict stroke, particularly by identifying robust ethnic/race ethnicity group and country specific risk factors.