Citations

TPS2079 Background: Patient with glioblastoma (GBM) with unmethylated MGMT promoters derive limited benefit from temozolomide (TMZ) and have dismal outcome. Prioritizing the numerous available therapies and biomarkers for late stage testing requires an efficient clinical testing platform. INSIGhT (NCT02977780) is a biomarker-based, Bayesian adaptively randomized, multi-arm phase II platform screening trial for patients with newly diagnosed GBM and unmethylated MGMT promoters. Methods: INSIGhT compares experimental arms to a common control of standard concurrent TMZ and radiation therapy (RT) followed by adjuvant TMZ. The primary endpoint is overall survival (OS). Patients with newly diagnosed, unmethylated GBM that are IDH R132H mutation negative, and with genomic data available or who consent to whole exome sequencing through the ALLELE companion study for biomarker grouping are eligible. Two experimental arms consist of concurrent RT/TMZ followed by adjuvant neratinib (EGFR, HER2, and HER4 inhibitor) or abemaciclib CDK 4/6 inhibitor), respectively, in place of TMZ. The other experimental arm is CC-115 (TORC1/2 and DNA PK inhibitor), which replaces TMZ in both the concurrent and adjuvant phases. Biomarker groups include: EGFR + patients with EGFR amplification/mutation; PI3K + patients with PIK3CA mutation/amplification, PIK3R1 mutation, AKT3amplification, PIK3C2B > 1 copy gain, or PTEN dual loss; CDK: + patients with wild-type RB1 and CDK4 amplification, CDK6 amplification, or CDKN2A > 1 copy loss. Given the lack of pretrial biomarker data and the anticipated overlap of the groups, randomization will initially be equal. As the trial progresses, randomization probabilities will be adapted based on the Bayesian estimation of the probability of treatment impact on progression-free survival (PFS). These randomization probabilities can vary among the biomarker groups so predictive biomarkers will be identified and utilized if present. Treatment arms may drop due to low probability of treatment impact on OS, and new arms may be added. Experimental arms are compared only with control and should be thought of as discrete experimental questions, with INSIGhT being open to new investigators with proposed therapeutic hypotheses. Clinical trial information: NCT02977780.

Abstract Background and Aims: Cholangiocarcinoma (CCA) is the second most common primary hepatic malignancy. Based on its anatomical location, CCA can be divided into intrahepatic (iCCA) or extrahepatic (eCCA), with differences in etiology, pathogenesis and clinical management. Few studies have focused on the molecular profiling of eCCA as a single entity, even though it accounts for the most prevalent subtype. Thus, integrative genomic analysis of eCCA would provide critical understanding for the biological traits of this tumor. Methods: 189 FFPE primary eCCA treated by resection were collected at seven international centers from 1995 to 2015. Median survival of the cohort was of 48.5mo. Whole gene-expression profiles were submitted to unsupervised clustering by NMF consensus. Clusters were characterized by Gene Set Enrichment Analysis and Ingenuity Pathway Analysis. Activation of signaling pathways (mTOR/pRPS6 and HER2) was assessed by immunohistochemistry (IHC). Molecular features were correlated with clinico-pathological data. Screening of most prevalent somatic mutations and copy number aberrations is ongoing. Results: We have identified four distinct molecular subtypes of eCCA (cophenetic coefficient=0.995). Tumors classified within the metabolic class (18.7%) were enriched by gene signatures defining bile and fatty acid metabolism (p<0.001) and presented overexpression of classic hepatocyte markers, with HNF4A as the major activated upstream transcription factor (p<0.001). The proliferation class (22.5%) was associated with papillary histology (p=0.004) and presented enrichment of MYC (p<0.001), mTOR (p=0.018) and HER2 (p=0.024) signaling. Subclass mapping identified similarity with the iCCA proliferation subclass (p<0.001). The mesenchymal class (47.3%) was associated with signatures defining epithelial-mesenchymal transition (p<0.001) as well as stromal activation (p<0.001), which was in accordance with TGFB1 as the major activated upstream regulator (p<0.001) and the presence of higher desmoplasia at pathological analysis (p=0.046). Moreover, mesenchymal tumors were significantly associated with poor prognosis in terms of OS (33.2 vs 55.5mo, HR=2.02, p=0.022). Finally, tumors classified as immune class (11.5%) presented increased tumor-infiltrating lymphocytes (p=0.001) and were characterized by enrichment of IFNγ signaling (p<0.001). Conclusions: Transcriptome-based subtyping of eCCA identifies four distinct molecular classes (metabolic, proliferation, mesenchymal and immune) that correlate with clinical-pathological characteristics. These findings enhance the opportunities for therapeutic development in this tumor with dismal prognosis and without approved molecular treatments. Citation Format: Robert Montal, Wei Qiang Leow, Carla Montironi, Laia Bassaganyas, Agrin Moeini, Daniela Sia, Roser Pinyol, Laia Cabellos, Judit Peix, Miho Maeda, Carlos Villacorta, Parissa Tabrizian, Christine Sempoux, Beatriz Minguez, Tim Pawlik, Ismail Labgaa, Lewis Roberts, Manel Sole, Maria Isabel Fiel, Swan Thung, Sasan Roayaie, Augusto Villanueva, Myron Schwartz, Josep Maria Llovet. Integrative molecular classification of extrahepatic cholangiocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 4618.

ABSTRACTBackground: PD patients often have visual alterations, for example, loss of visual acuity, contrast sensitivity or motion perception, and diminished electroretinogram responses. PD pathology is mainly characterized by the accumulation of pathological α‐synuclein deposits in the brain, but little is known about how synucleinopathy affects the retina.Objective: To study the correlation between α‐synuclein deposits in the retina and brain of autopsied subjects with PD and incidental Lewy body disease.Methods: We evaluated the presence of phosphorylated α‐synuclein in the retina of autopsied subjects with PD (9 subjects), incidental Lewy body disease (4 subjects), and controls (6 subjects) by immunohistochemistry and compared the retinal synucleinopathy with brain disease severity indicators.Results: Whereas controls did not show any phosphorylated α‐synuclein immunoreactivity in their retina, all PD subjects and 3 of 4 incidental Lewy body disease subjects had phosphorylated α‐synuclein deposits in ganglion cell perikarya, dendrites, and axons, some of them resembling brain Lewy bodies and Lewy neurites. The Lewy‐type synucleinopathy density in the retina significantly correlated with Lewy‐type synucleinopathy density in the brain, with the Unified Parkinson's disease pathology stage and with the motor UPDRS.Conclusion: These data suggest that phosphorylated α‐synuclein accumulates in the retina in parallel with that in the brain, including in early stages preceding development of clinical signs of parkinsonism or dementia. Therefore, the retina may provide an in vivo indicator of brain pathology severity, and its detection could help in the diagnosis and monitoring of disease progression. © 2018 International Parkinson and Movement Disorder Society

INTRODUCTION: Bimanual pelvic examination is often performed for symptoms related to uterine fibroids (UF). We evaluated the clinical utility of this exam at the time of UF diagnosis in a community setting. METHODS: Retrospective sample of women diagnosed with UF between 2006 and 2010 in the Rochester Epidemiology Project, a population-based records-linkage system. Cohort includes a sample of women who had a pelvic examination within 12 months of UF diagnosis (n=141). Abnormal pelvic exam was defined as abnormal uterine size or shape, or any adnexal mass or fullness recorded by healthcare provider. We examined clinical and imaging characteristics using chi-squared for categorical and t tests for continuous data. Data reported as percentage or mean ± standard deviation. Volumes of the uterus and largest fibroid were calculated using the prolate ellipsoid formula. RESULTS: Women with UF and a normal pelvic exam (n=73) were younger than women with abnormal exam (n=68) (44.7±7.1 vs 46.9±5.4 years, P=.05), and had a higher BMI (29.4 ± 6.5 vs 26.6 ± 5.0 kg/m2, P=.007). Women with abnormal exam had significantly larger uterine volumes (226.0 ± 151.8 vs 150.9 ± 97.9 cm³, P=.005) and fibroid volumes (61.1±81.1 vs 19.9±52.8 cm³, P=.005). Abnormal examination was more frequently documented by gynecology providers (57.4%) than other providers (42.7%, P=.04). Fibroid symptoms were not associated with abnormal examination. CONCLUSION: Fifty-two percent of women with fibroids had a normal bimanual examination. Thus, a high suspicion of fibroids should prompt imaging. Lower BMI and larger uterine and fibroid dimensions increase fibroid diagnosis on pelvic examination.

SummaryBackgroundCoeliac disease is a substantially underdiagnosed disorder, with clinical testing currently guided by case finding.AimTo determine the presence of indications for diagnostic testing and frequency of clinical testing in undiagnosed coeliac disease.MethodsThis was a case‐control study of adults without prior diagnosis of coeliac disease. Undiagnosed cases were identified through sequential serology, and unaffected age‐ and gender‐matched controls were selected. Medical records were systematically reviewed for indications for and evidence of clinical testing.ResultsOf 47 557 adults, 408 cases of undiagnosed coeliac disease were identified. 408 serology negative matched controls were selected. Eight‐matched pairs were excluded, leading to 800 included individuals (61% female; median age 44.2 years). The odds of any indication for clinical testing were similar among undiagnosed coeliac disease and controls (odds ratio (OR) 1.18; 95% CI: 0.85‐1.63, P = 0.32). Most individual indications were not associated with serologic status. Exceptions to this include hypothyroidism, which was more likely in cases of undiagnosed coeliac disease, and dyspepsia and chronic diarrhoea, which were less likely. Cases of undiagnosed coeliac disease were more likely to develop osteoporosis (P = 0.005), dermatitis herpetiformis (P = 0.006), chronic fatigue (P = 0.033), thyroiditis (P = 0.003), autoimmune diseases (P = 0.008), and have a family member diagnosed with coeliac disease (P = 0.001).ConclusionThis study strongly suggests that current case finding is not effective in detecting undiagnosed coeliac disease. Individuals with undiagnosed coeliac disease were more likely than controls to develop indications for testing overtime. A more effective method for detection of coeliac disease is needed.