Citations

Introduction Robotic-assisted surgery (RAS) has emerged as an alternative minimally invasive surgical option. Despite its growing applicability, the frequent need for pneumoperitoneum and Trendelenburg position could significantly affect respiratory mechanics during RAS. AVATaR is an international multicenter observational study aiming to assess the incidence of postoperative pulmonary complications (PPC), to characterise current practices of mechanical ventilation (MV) and to evaluate a possible association between ventilatory parameters and PPC in patients undergoing RAS. Methods and analysis AVATaR is an observational study of surgical patients undergoing MV for general anaesthesia for RAS. The primary outcome is the incidence of PPC during the first five postoperative days. Secondary outcomes include practice of MV, effect of surgical positioning on MV, effect of MV on clinical outcome and intraoperative complications. Ethics and dissemination This study was approved by the Institutional Review Board of the Hospital Israelita Albert Einstein. The study results will be published in peer-reviewed journals and disseminated at international conferences. Trial registration number NCT02989415 ; Pre-results.

Abstract Background: Acquired PARP inhibitor (PARPi) resistance in high-grade serous ovarian cancer (HGSOC) as a result of restored homologous recombination has been observed following secondary mutations that restore full-length protein in BRCA1, BRCA2, RAD51C, and RAD51D. Additionally, loss of BRCA1 methylation has also been shown to confer resistance. However, little is known about the role of RAD51C methylation in acquired PARPi resistance. In ARIEL2 Part 1, a phase 2 study of the PARPi rucaparib in ovarian carcinoma, four (2%) tumors demonstrated RAD51C methylation. The present study utilizes HGSOC patient derived xenografts (PDXs) and recurrent samples from ARIEL2 to assess the role of RAD51C methylation in the development of PARPi resistance. Methods: To drive PARPi resistance, PDX039, an extremely PARPi-sensitive model lacking demonstrable mutations in DNA repair genes, was treated cyclically with niraparib (100 mg/kg) for 21 days, after which the tumor was allowed to regrow and re-established in new mice for the next treatment round. To evaluate the frequency of methylation change, RAD51C methylation was analyzed in 12 rucaparib-treated mice (300 or 450 mg/kg) harboring PDX183, a PARPi-sensitive model without mutations in DNA repair genes. Global changes in gene expression following development of PARPi resistance were assessed by RNA sequencing. RAD51C promoter methylation was evaluated by bisulfite sequencing. Subsequent functional analysis included qRT-PCR, IHC, and western blot. DNA damage response pathways are being evaluated by immunofluorescence ex vivo following niraparib, rucaparib, or IR. Results: PDX039 grew through PARPi treatment by the third and fourth cycle of therapy. RAD51C was the only DNA repair gene to show significant change in RNAseq analysis (log2 fold-change=8.43; p=2e-192), corresponding with a loss of RAD51C methylation. Moreover, after just one round of PARPi treatment, RAD51C methylation was lost in 1 of 12 PARPi-treated PDX183 xenografts. RAD51C methylation loss ultimately resulted in restoration of expression, for which functional analysis is ongoing. Analysis of patient samples is currently underway. Conclusions: In HGSOC PDX models, RAD51C methylation affords PARPi sensitivity in the absence of DNA repair gene mutations. Treatment pressure with PARPi can reverse RAD51C methylation and restore RAD51C expression. Isolated changes in methylation of the RAD51C locus are sufficient to restore HR and convey PARPi resistance. Citation Format: Rachel M. Hurley, Ksenija Nesic, Cordelia McGehee, Olga Kondrashova, Maria I. Harrell, Paula A. Schneider, Xiaonan Hou, Cristina Correia, Karen S. Flatten, Giada V. Zapparoli, Alexander Dobrovic, Kevin K. Lin, Thomas C. Harding, Andrea E. Wahner Hendrickson, Elizabeth M. Swisher, Matthew Wakefield, S. John Weroha, Clare L. Scott, Scott H. Kaufmann. Loss of RAD51C promoter hypermethylation confers PARP inhibitor resistance [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 5885.

Abstract Objective Genome-wide association studies (GWAS) identify associations of individual SNPs with cancer risk but usually only explain a fraction of the inherited variability. Pathway analysis of genetic variants has been shown for many disorders to be a powerful tool in discovering novel networks of susceptibility genes. Design We have conducted a large agnostic pathway-based meta-analysis of GWAS data using the summary-based adaptive rank truncated product (sARTP) method to identify novel gene sets and pathways associated with pancreatic ductal adenocarcinoma (PDA) in 9,040 cases and 12,495 controls. We performed expression quantitative trait loci (eQTL) analysis and functional annotation of the top SNPs in genes identified in PDA-associated gene sets and pathways. Results We identified 14 gene sets and pathways associated with PDA at FDR < 0.05. Five of the strongest signals (P-value ≤ 1.3x10-5 Bonferroni corrected) were in genes from KEGG maturity onset diabetes of the young, Reactome regulation of beta cell development, Biocarta role of epidermal growth factor (EGF) receptor transactivation by G-protein-coupled receptors in cardiac hypertrophy pathway, Nikolsky breast cancer chr17q11-q21 amplicon gene set, and Pujana ATM Pearson correlation coefficient (PCC) network gene set. We identified and validated rs876493 and three correlated SNPs (PGAP3) and rs3124737 (CASP7) as eQTLs in two normal derived pancreas tissue datasets. Conclusion Our agnostic gene set and pathway analysis integrated with functional annotation and eQTL analysis provides novel insight into genes and pathways that may be biologically relevant for risk of PDA. Citation Format: Naomi Walsh, Han Zhang, Paula L. Hyland, Qi Yang, Evelina Mocci, Mingfeng Zhang, Erica J. Childs, Zhaoming Wang, Stephen Chanock, Patricia Hartge, Robert Hoover, Peter Kraft, Donghui Li, Eric J. Jacobs, Gloria M. Petersen, Brian M. Wolpin, Harvey A. Risch, Laufey T. Amundadottir, Kai Yu, Alison P. Klein, Rachael Z. Stolzenberg-Solomon. Large pathway and gene set analysis of GWAS data identifies novel associations for pancreatic cancer [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 242.

It has generally been assumed that the thrombogenicity of PCC relates to their invariable contamination by activated products of their component clotting factors. In earlier studies we demonstrated a lack of correlation between the activated clotting factor content ᶓ in vivo thrombogenicity of some PCC. In contrast, in vitro measurement of coagulant active PL content appeared to be a more reliable determinant of subsequent in vivo activity. In recent studies we have confirmed the presence of PL of known coagulant activity in PCC ᶓ studied its activity both in vitro ᶓ in vivo after its extraction from the parent PCC.PCCs were obtained from various agencies or prepared in our laboratory to a standard protocol either from fresh frozen plasma or plasma obtained from outdated platelet concentrates. Each was assayed for Xa (S-2222) ᶓ PL (thrombin generation assay with DAPA) ᶓ an index of thrombogenicity in vivo determined in a stasis model in rabbits. There was a significant correlation between the latter ᶓ PL (r=0.8727 p<0.01) but not Xa. Thin layer chromatography of an ethanol ether extract of the most thrombogenic PCC showed the presence of PL known to be coagulant active including Phospho- tidylserine ᶓ -choline. This extract retained full PL replacing activity in the DAPA assay in vitro but was non- thrombogenic in vivo. When, however, a highly purified preparation of Xa was added, in the same relative proportions as in the parent PCC, thrombogenicity in vivo was restored.It is concluded that the content of coagulant active PL is a critical determinant of the potential thrombogenicity of PCC in vivo. It appears to act in concert with Xa ᶓ conceivably, other serine proteases perhaps by protecting them from inactivation by AT III. This may explain why relatively “non-activated” PCCs may still be associated with thromboembolic complications.

Objectives The ideal frequency of cervical cancer screening in women with solid organ transplants (SOTs) remains to be determined. We aimed to assess the longitudinal rates of cytologic and histologic cervical abnormalities in women after SOT. Methods We retrospectively reviewed health records of women aged 18 to 60 years who received their first kidney, liver, pancreas, or combination transplant at Mayo Clinic (Rochester, Minnesota) from 1995 through 2011. Patient demographics, cervical cytology and histology, and high-risk human papillomavirus (hrHPV) testing data were abstracted. All women included in the study had documentation of at least 1 cervical cytologic assessment after SOT. Cumulative incidence of abnormal cytology or histology was estimated using the Kaplan-Meier method. Results In total, 459 women (mean age at SOT, 43.9 years) were included in the study. Pre-SOT cytology was benign in 226 (97.4%) of 232 patients with available results. During follow-up, 9 women had cervical intraepithelial neoplasia grade 3 or higher (CIN3+) histology. The cumulative incidence of CIN3+ was 0.2% (95% confidence interval [CI], 0%–0.6%) at 1 year after SOT, 0.7% (95% CI, 0%–1.5%) at 2 years, 1.9% (95% CI, 0.5%–3.3%) at 5 years, and 3.1% (95% CI, 0.4%–5.7%) at 10 years. At the time of the first post-SOT cervical cytology, a greater proportion of women who were hrHPV positive had abnormal findings compared with hrHPV-negative women (10/15 [66.7%] vs 1/71 [1.4%]; p < .001). Conclusions The cumulative incidence of CIN3+ in the first 5 years after SOT approximates the level of risk for which annual cytologic assessment has been recommended.

Background: There is a significant need for rapid and cost-effective biomarkers of Alzheimer’s disease (AD) for advancement of clinical practice and therapeutic trials. Objective: The aim of the current study was to cross-validate our previously published serum-based algorithm on an independent assay platform as well as validate across tissues and species. Preliminary analyses were conducted to examine the utility in distinguishing AD from non-AD neurological disease (Parkinson’s disease, PD). Methods: Serum proteins from our previously published algorithm were quantified from 150 AD cases and 150 controls on the Meso Scale Discovery (MSD) platform. Serum samples were analyzed from 49 PD cases and compared to a random sample of 51 AD cases and 62 controls. Support vector machines (SVM) were used to discriminate PD versus AD versus controls. Human and AD mouse model microvessel images were quantified with HAMAMATSU imaging software. Mouse serum biomarkers were assayed via MSD. Results: Analysis of 21 serum proteins from 150 AD cases and 150 controls yielded an algorithm with sensitivity and specificity of 0.90 for correctly classifying AD. This multi-marker approach was then validated across species and tissue. Assay of the top proteins in human and AD mouse model brain microvessels correctly classified 90–100% of the samples. SVM analyses were highly accurate at distinguishing PD versus AD versus controls. Conclusions: This serum-based biomarker panel should be tested in a community-based setting to determine its utility as a first-line screen for AD and non-AD neurological diseases for primary care providers.

ABSTRACT Myofibroblasts play key roles in wound healing and pathological fibrosis. Here, we used an RNAi screen to characterize myofibroblast regulatory genes, using a high-content imaging approach to quantify α-smooth muscle actin stress fibers in cultured human fibroblasts. Screen hits were validated on physiological compliance hydrogels, and selected hits tested in primary fibroblasts from patients with idiopathic pulmonary fibrosis. Our RNAi screen led to the identification of STAT3 as an essential mediator of myofibroblast activation and function. Strikingly, we found that STAT3 phosphorylation, while responsive to exogenous ligands on both soft and stiff matrices, is innately active on a stiff matrix in a ligand/receptor-independent, but ROCK- and JAK2-dependent fashion. These results demonstrate how a cytokine-inducible signal can become persistently activated by pathological matrix stiffening. Consistent with a pivotal role for this pathway in driving persistent fibrosis, a STAT3 inhibitor attenuated murine pulmonary fibrosis when administered in a therapeutic fashion after bleomycin injury. Our results identify novel genes essential for the myofibroblast phenotype, and point to STAT3 as an important target in pulmonary fibrosis and other fibrotic diseases.

Congenital disorders of glycosylation (CDG) are a group of genetic disorders that affect protein and lipid glycosylation and glycosylphosphatidylinositol synthesis. More than 100 different disorders have been reported and the number is rapidly increasing. Since glycosylation is an essential post-translational process, patients present a large range of symptoms and variable phenotypes, from very mild to extremely severe. Only for few CDG, potentially curative therapies are being used, including dietary supplementation (e.g., galactose for PGM1-CDG, fucose for SLC35C1-CDG, Mn2+ for TMEM165-CDG or mannose for MPI-CDG) and organ transplantation (e.g., liver for MPI-CDG and heart for DOLK-CDG). However, for the majority of patients, only symptomatic and preventive treatments are in use. This constitutes a burden for patients, care-givers and ultimately the healthcare system. Innovative diagnostic approaches, in vitro and in vivo models and novel biomarkers have been developed that can lead to novel therapeutic avenues aiming to ameliorate the patients’ symptoms and lives. This review summarizes the advances in therapeutic approaches for CDG.