Citations

BACKGROUNDDelirium is associated with poor outcomes in adults but is less extensively studied in children.OBJECTIVESTo describe a quality improvement initiative to implement delirium assessment in a pediatric intensive care unit and to identify barriers to delirium screening completion.METHODSA survey identified perceived barriers to delirium assessment. Failure modes and effects analysis characterized factors likely to impede assessment. A randomized case-control study evaluated factors affecting assessment by comparing patients always assessed with patients never assessed.RESULTSDelirium assessment was completed in 57% of opportunities over 1 year, with 2% positive screen results. Education improved screening completion by 20%. Barriers to assessment identified by survey (n = 25) included remembering to complete assessments, documentation outside workflow, and “busy patient.” Factors with high risk prediction numbers were lack of time and paper charting. Patients always assessed had more severe illness (median Pediatric Index of Mortality 2 score, 0.90 vs 0.36; P < .001), more developmental disabilities (moderate to severe pediatric cerebral performance category score, 54% vs 32%; P = .007), and admission during lower pediatric intensive care unit census (median [interquartile range], 10 [9–12] vs 12 [10–13]; P < .001) than did those never assessed (each group, n = 80). Patients receiving mechanical ventilation were less likely to be assessed (41.0% vs 51.2%, P < .001).CONCLUSIONSSuccessful implementation of pediatric delirium screening may be associated with early use of quality improvement tools to identify assessment barriers, comprehensive education, monitoring system with feedback, multidisciplinary team involvement, and incorporation into nursing workflow models.

BackgroundObesity can lead to increased oxidative stress which is one of the proposed mechanisms in the etiopathogenesis of takotsubo cardiomyopathy (TCM).HypothesisThe presence of obesity adversely impacts clinical outcomes in TCM patients.MethodsWe queried the Nationwide Inpatient Sample database (2010‐2014) to identify adult patients admitted with a principal diagnosis of TCM with and without obesity. We compared the categorical and continuous variables by Pearson χ2 and Student t test, respectively, in propensity‐score matched cohorts.ResultsThe study cohort comprised 612 obese TCM (weighted n = 3034) and 5696 nonobese TCM (weighted n = 28 186) patients. Obese TCM patients were more often younger and private‐insurance enrollees. Cardiac complications including acute myocardial infarction (9.0% vs 7.4%; P = 0.04), cardiac arrest (2.3% vs. 0.4%; P < 0.001), cardiogenic shock (4.3% vs. 3.2%; P = 0.03), congestive heart failure (5.0% vs. 3.8%; P = 0.02), respiratory failure (12.9% vs. 11.0%; P = 0.021) and use of mechanical hemodynamic support (Impella; 0.2% vs. 0.0%, P = 0.02) were significantly higher among obese TCM patients. There were no significant differences between the 2 groups in all‐cause mortality (1.0% vs. 0.8%; P = 0.35), arrhythmia (24.5% vs. 22.7%, P = 0.123), length of stay (3.7 ±3.5 vs. 3.7 ±3.6 days; P = 0.68), and total hospital charges ($40 780.16 vs. $42 575.14; P = 0.08).ConclusionsObese TCM patients were more susceptible to developing TCM‐related cardiac complications than were nonobese TCM patients, without any impact on all‐cause in‐hospital mortality, LOS, and hospital charges.

Tumours arising from mesenchymal tissue components such as vascular, fibrous and adipose tissue can manifest in the liver. Although histopathology is often necessary for definitive diagnosis, many of these lesions exhibit characteristic imaging features. The radiologist plays an important role in suggesting the diagnosis, which can direct appropriate immunohistochemical staining at histology. The aim of this review is to present clinical and imaging findings of a spectrum of mesenchymal liver tumours such as haemangioma, epithelioid haemangioendothelioma, lipoma, PEComa, angiosarcoma, inflammatory myofibroblastic tumour, solitary fibrous tumour, leiomyoma, leiomyosarcoma, Kaposi sarcoma, mesenchymal hamartoma, undifferentiated embryonal sarcoma, rhabdomyosarcoma and hepatic metastases. Knowledge of the characteristic features of these tumours will aid in guiding the radiologic diagnosis and appropriate patient management.

Abstract Archival tumor samples present a rich resource of annotated specimens for genomics research. However, standard variant calling approaches require a matched normal sample from the same individual, which is often not available with archival tissue. Without a matched normal sample, it is very difficult to distinguish between true somatic variants and germline variants that are private to the individual. Archival FFPE sections often contain adjacent normal tissue, but this normal tissue is often contaminated with infiltrating tumor cells. Comparative somatic variant callers are designed to exclude variants present in the normal sample, so a novel approach is required to leverage sequencing of adjacent normal tissue. Here we present LumosVar 2.0, a software package designed to jointly analyze multiple samples from the same patient. The approach is based on the concept that the allelic fraction of somatic variants, but not germline variants, would be diluted by the presence of normal tissue. Given the allele specific copy number state and expected tumor fraction of each sample, one can model the expected allelic fractions of somatic and germline variants. LumosVar estimates allele specific copy number and tumor sample fractions from the data, and uses the model to call somatic and germline variants. LumosVar is also able to detect sub clonal events and spatial heterogeneity between samples. To evaluate this approach, we used a glioblastoma dataset, where enhancing (high tumor content) and non-enhancing (low tumor content) samples were available for each patient, as well as the matched normal sample to define the true somatic variants. We show that both sensitivity and positive predictive value are improved by analyzing the high tumor and low tumor jointly compared to analyzing the samples individually or in silico pooling of the two samples. Finally, we apply this approach to a set of breast and prostate archival FFPE tumor samples where normal samples were not available for germline sequencing. Citation Format: Rebecca F. Halperin, Winnie S. Liang, Erica Tassone, Jonathan Adkins, Megan Russell, Nhan Tran, Nicole Hank, James Newell, Sandeep Gupta, Michael Berens, Ronald Korn, David W. Craig, Sara A. Byron. Leveraging spatial heterogeneity in tumor purity for improved somatic variant calling of archival tumor-only samples [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr LB-007. doi:10.1158/1538-7445.AM2017-LB-007

603 Background: Anal squamous cell carcinoma (Anal SCC) is a rare, HPV-associated malignancy accounting for 2.4% of digestive system cancers. In most cases, these malignancies are detected in the early stages and successfully managed with chemoradiation therapy. Uncommonly, these cancers recur or present with metastases. In this setting, cisplatin and 5-fluorouracil represent the only endorsed regimen. Once beyond standard therapy, few therapeutic options exist for those patients with aggressive disease. The purpose of this study is to identify other novel, potential targets and therapeutic options for this disease, utilizing a multiplatform approach. Methods: 206 anal SCC specimenswere tested via a multiplatform profiling service (Caris Life Sciences, Phoenix, AZ) consisting of gene sequencing (Sanger or next generation sequencing [NGS]), protein expression (immunohistochemistry [IHC]) and gene amplification (CISH or FISH). 6 cases were documented as positive for HPV or HIV; status was not provided on the remaining 200. Results: Key results are shown in the table below, shown as percent change/total cases. Conclusions: Multiplatform tumor profiling identified a low incidence of gene mutations. Protein expression aberrations identified potential treatment options not routinely considered, such as topoisomerase inhibitors and taxanes. Mutations in PIK3CA, Akt1, and FBXW7 as well as PTEN loss indicate potential for targeting the PI3 kinase pathway. Additionally, immunomodulatory agents may be a therapeutic option, based on PD-1 expression levels. Targeting the ErbB-family receptors, namely with anti-EGFR agents or newer generation pan-HER - inhibitors, may represent another option, given EGFR and HER2 amplification as well as EGFR overexpression. It should be mentioned that differences in anal carcinomas whose etiology is of viral origin may present different treatment options based on the driver mutations. [Table: see text]

501 Background: Predictive biomarkers of response to targeted therapy are lacking in renal cell carcinoma (RCC). We evaluated a cohort of RCC patients referred for molecular profiling to identify potentially actionable recurrent molecular aberrations. Methods: 166 consecutive renal cases referred to Caris Life Sciences over 2 yrs were evaluated with central pathology review. Cases were subtyped into clear cell (ccRCC), n=100, papillary (PRCC), n=20, sarcomatoid, n=10, translocation, n=6, medullary, n=4 or unclassified, n=26. 63% of cases were metastatic. Testing included a combination of sequencing (Sanger or next generation sequencing [NGS]), protein expression (immunohistochemistry [IHC]), and/or gene amplification (CISH or FISH). Results: ccRCC had a 52% loss of PTEN, while PRCC had a 21% loss (p value=0.02). 100% of ccRCC with sarcomatoid features (4) showed aberrant expression of PD-L1 and were infiltrated with PD-1+ tumor infiltrating lymphocytes; 100% of 10 non-ccRCC sarcomatoids also had aberrant expression of PD-L1. Loss of PBRM1 expression was observed in 60% of ccRCC. Loss of histone 3 lysine 36 trimethylation (H3K36me3), which is associated with SETD2 mutations, was observed in 30% of ccRCC. TOP2A was overexpressed in ccRCC at 30% and in non-ccRCC at 50%. 100% of ccRCC and PRCC overexpressed EGFR; a single unclassified renal cell carcinoma did not overexpress EGFR. 50% of cases had cMET overexpression, amplification, or mutation. HER2 was not amplified or overexpressed in any RCC; a single rare HER2 mutation (R816H) was found in a collecting duct carcinoma. VHL mutations were identified in 50% of ccRCC tumors. We observed lower rates of TP53 (14%), ATM (6%), and PIK3CA(4% ccRCC, 7% PRCC) mutations compared to other cancers. Conclusions: Multiplatform molecular profiling of renal cell carcinoma identifies potential predictive biomarkers in ccRCC. The documented activity of everolimus in ccRCC (RECORD-1 trial) may be attributable to PIK3CA pathway alterations. RCC with sarcomatoid features may respond to PD1/PD-L1 targeted immunotherapies. The impact of molecular profiling in ccRCC to predict responses to currently available targeted therapy has important implications for trial design and patient selection.

289 Background: Cholangiocarcinoma (CC), hepatocellular carcinoma (HCC), and pancreatic ductal adenocarcinoma (PDAC) are all devastating malignancies. Limited data exists about PD-1 and PDL1 expression in these cancers. We assessed expression of PD1/PDL1 in a large cohort of patients with hepato-pancreatico-biliary (HPB) cancers and explored the existence of accompanying genomic mutations associated with expression of PD-1/PD-L1. Methods: 524 patients with HPB cancers (354 PDAC, 58 HCC, 54 intrahepatic (ICC), 18 extrahepatic (ECC), and 40 gallbladder (GBC)) were included in the study and tumors tested centrally at a CLIA lab (Caris Life Sciences, Phoenix, AZ). Tests included one or more of the following: gene sequencing (next generation sequencing, Illumina TruSeq), protein expression (immunohistochemistry [IHC]) and gene amplification). PD-1 (SP142 antibody) and PD-L1 (MRQ-22 antibody) status was tested in all samples. Two-tailed Fisher's exact test was performed to test where proportions of positive results were different by subgroup (p²0.05). Results: Among those with PDAC, HCC, ICC, ECC, and GBC, rates of PD1 expression on tumor infiltrating lymphocytes (TILs) and PD-L1 expression on tumor cells is detailed in the Table. In PD-1+, compared with PD-1- HPB cancers, mutations in the following were more prevalent, though not statistically significant: BRCA2, ATM, CTNNB1, and PIK3CA. Among all theranostic biomarkers tested, TOP2A expression (IHC) was significantly increased in PD-L1+ versus PD-L1- tumors (82% vs 60%; p=0.0083). Conclusions: HPB tumors express PD-L1 at a frequency of 4-18%, and PD-1 at a frequency of 29-45%. A statistically significant association of mutations with PD-1+ or PD-L1+ tumors was not identified in this group of tumors. PD-L1 expression associates with TOP2a expression, a marker of proliferation and also anthracycline sensitivity. Further evaluation of this correlation and PDL1/PD-1 + anthracycline combination therapy may be warranted. [Table: see text]