Citations

The Clinical Proteomic Tumor Analysis Consortium (CPTAC) has provided some of the most in-depth analyses of the phenotypes of human tumors ever constructed. Today, the majority of proteomic data analysis is still performed using software housed on desktop computers which limits the number of sequence variants and post-translational modifications that can be considered. The original CPTAC studies limited the search for PTMs to only samples that were chemically enriched for those modified peptides. Similarly, the only sequence variants considered were those with strong evidence at the exon or transcript level. In this multi-institutional collaborative reanalysis, we utilized unbiased protein databases containing millions of human sequence variants in conjunction with hundreds of common post-translational modifications. Using these tools, we identified tens of thousands of high-confidence PTMs and sequence variants. We identified 4132 phosphorylated peptides in nonenriched samples, 93% of which were confirmed in the samples which were chemically enriched for phosphopeptides. In addition, our results also cover 90% of the high-confidence variants reported by the original proteogenomics study, without the need for sample specific next-generation sequencing. Finally, we report fivefold more somatic and germline variants that have an independent evidence at the peptide level, including mutations in ERRB2 and BCAS1. In this reanalysis of CPTAC proteomic data with cloud computing, we present an openly available and searchable web resource of the highest-coverage proteomic profiling of human tumors described to date.

Abstract To discover lipidomic alterations during pregnancy in mothers who subsequently delivered small for gestational age (SGA) neonates and identify predictive lipid markers that can help recognize and manage these mothers, we carried out untargeted lipidomics on maternal serum samples collected between 24–28 weeks of gestation. We used a nested case-control study design and serum from mothers who delivered SGA and appropriate for gestational age babies. We applied untargeted lipidomics using mass spectrometry to characterize lipids and discover changes associated with SGA births during pregnancy. Multivariate pattern recognition software Collaborative Laboratory Integrated Reports (CLIR) was used for the post-analytical recognition of range differences in lipid ratios that could differentiate between SGA and control mothers and their integration for complete separation between the two groups. Here, we report changes in lipids from serum collected during pregnancy in mothers who delivered SGA neonates. In contrast to normal pregnancies where lysophosphatidic acid increased over the course of the pregnancy owing to increased activity of lysophospholipase D, we observed a decrease (32%; P = 0.05) of 20:4-lysophosphatidic acid in SGA mothers, which could potentially compromise fetal growth and development. Integration of lipid ratios in an interpretive tool (CLIR) could completely separate SGA mothers from controls demonstrating the power of untargeted lipidomic analyses for identifying novel predictive biomarkers. Additional studies are required for further assessment of the lipid biomarkers identified in this report.

Overexpression and amplification of AXL receptor tyrosine kinase (RTK) has been found in several hematologic and solid malignancies. Activation of AXL can enhance tumor-promoting processes such as cancer cell proliferation, migration, invasion and survival. Despite the important role of AXL in cancer development, a deep and quantitative mapping of its temporal dynamic signaling transduction has not yet been reported. Here, we used a TMT labeling-based quantitative proteomics approach to characterize the temporal dynamics of the phosphotyrosine proteome induced by AXL activation. We identified >1100 phosphotyrosine sites and observed a widespread upregulation of tyrosine phosphorylation induced by GAS6 stimulation. We also detected several tyrosine sites whose phosphorylation levels were reduced upon AXL activation. Gene set enrichment-based pathway analysis indicated the activation of several cancer-promoting and cell migration/invasion-related signaling pathways, including RAS, EGFR, focal adhesion, VEGFR and cytoskeletal rearrangement pathways. We also observed a rapid induction of phosphorylation of protein tyrosine phosphatases, including PTPN11 and PTPRA, upon GAS6 stimulation. The novel molecules downstream of AXL identified in this study along with the detailed global quantitative map elucidating the temporal dynamics of AXL activation should not only help understand the oncogenic role of AXL, but also aid in developing therapeutic options to effectively target AXL.

Introduction: The coronavirus disease 2019 (COVID-19) pandemic has impacted health care organizations throughout the world. The Southwest Minnesota Region of Mayo Clinic Health System, a community-based health care system, was not immune, and in March 2020, our outpatient services were deferred and decreased by 90%. Method: This article is a review of the approach we used to safely reactivate outpatient care, the tools that we developed, and the outcomes of these reactivation efforts. A novel Outpatient Practice Reactivation Framework was established and used that included Outpatient Clinic Appointment Dashboard, Decision Matrix, Access Management, Virtual Care, and Patient Safety. This framework was guided by patient demand for care and by safety principles, as recommended by state and federal agencies and our internal infectious disease department guidelines. Results and Conclusions: Over the course of 9 weeks, ambulatory visit volumes and clinic utilization rates returned to pre-COVID levels (Pre-COVID fill rate range: 87% to 94%, post-COVID fill rate range: 86% to 89%) exceeding target fill rate of 80%, as a result of establishing the initiative as a shared priority, committing to a robust schedule and decisive actions, creating and maintaining a well-defined structure, taking an inclusive approach, overcommunicating and providing sufficient data for transparency, developing guiding principles, and training and educating staff.

Pancreatic ductal adenocarcinoma is a recalcitrant tumor with minimal response to conventional chemotherapeutic approaches. Oncogenic signaling by activated tyrosine kinases has been implicated in cancers resulting in activation of diverse effector signaling pathways. Thus, the discovery of aberrantly activated tyrosine kinases is of great interest in developing novel therapeutic strategies in the treatment and management of pancreatic cancer. Patient-derived tumor xenografts (PDXs) in mice serve as potentially valuable preclinical models as they maintain the histological and molecular heterogeneity of the original human tumor. Here, we employed high-resolution mass spectrometry combined with immunoaffinity purification using anti-phosphotyrosine antibodies to profile tyrosine phosphoproteome across 13 pancreatic ductal adenocarcinoma PDX models. This analysis resulted in the identification of 1199 tyrosine-phosphorylated sites mapping to 704 proteins. The mass spectrometric analysis revealed widespread and heterogeneous activation of both receptor and non-receptor tyrosine kinases. Preclinical studies confirmed ephrin type-B receptor 4 (EphB4) as a potential therapeutic target based on the efficacy of human serum albumin-conjugated soluble EphB4 in mice bearing orthotopic xenografts. Immunohistochemistry-based validation using tissue microarrays from 346 patients with PDAC showed significant expression of EphB4 in >70% of patients. In summary, we present a comprehensive landscape of tyrosine phosphoproteome with EphB4 as a promising therapeutic target in pancreatic ductal adenocarcinoma.

Abstract Background We evaluated the analytical sensitivity and specificity of 4 rapid antigen diagnostic tests (Ag RDTs) for severe acute respiratory syndrome coronavirus 2, using reverse transcription quantitative PCR (RT-qPCR) as the reference method and further characterizing samples using droplet digital quantitative PCR (ddPCR) and a mass spectrometric antigen test. Methods Three hundred fifty (150 negative and 200 RT-qPCR positive) residual PBS samples were tested for antigen using the BD Veritor lateral flow (LF), ACON LF, ACON fluorescence immunoassay (FIA), and LumiraDx FIA. ddPCR was performed on RT-qPCR–positive samples to quantitate the viral load in copies/mL applied to each Ag RDT. Mass spectrometric antigen testing was performed on PBS samples to obtain a set of RT-qPCR–positive, antigen-positive samples for further analysis. Results All Ag RDTs had nearly 100% specificity compared to RT-qPCR. Overall analytical sensitivity varied from 66.5% to 88.3%. All methods detected antigen in samples with viral load >1 500 000 copies/mL RNA, and detected ≥75% of samples with viral load of 500 000 to 1 500 000 copies/mL. The BD Veritor LF detected only 25% of samples with viral load between 50 000 to 500 000 copies/mL, compared to 75% for the ACON LF device and >80% for LumiraDx and ACON FIA. The ACON FIA detected significantly more samples with viral load <50 000 copies/mL compared to the BD Veritor. Among samples with detectable antigen and viral load <50 000 copies/mL, sensitivity of the Ag RDT varied between 13.0% (BD Veritor) and 78.3% (ACON FIA). Conclusions Ag RDTs differ significantly in analytical sensitivity, particularly at viral load <500 000 copies/mL.

Abstract Introduction: The bone marrow (BM) niche promotes multiple myeloma (MM) growth, survival and drug resistance. Therapies targeting both cancer cells and the microenvironment are highly effective. We were interested in identifying novel signaling pathways supporting MM pathogenesis through MM-BM crosstalk. The transmembrane receptor Roundabout 1 (ROBO1) plays a role in growth and dissemination of solid tumors, however its function in MM is unknown. Material and Methods: We analyzed ROBO1 expression in cell lines and primary samples via western blot, immunohistochemistry (IHC) and gene expression profiling. We used short hairpin RNA and CRISPR-Cas9 for ROBO1 knock down (KD) and knock out (KO), respectively. For protein structure-function and rescue studies, we stably expressed full-length (FL) or mutant ROBO1 devoid of extracellular (Cyt) or intracellular domain (DeltaCyt), including patient-derived G674* truncation, with a C-terminus FLAG tag. We used a 3D hydrogel encapsulation system to study proliferation; FLAG immunoprecipitation (IP) followed by mass spectrometry to identify ROBO1 interacting partners; and immunofluorescence to detect ROBO1 localization. To study tumor growth in vivo, we performed PET-CT of mice inoculated subcutaneously or intramedullary with WT or ROBO1 KO MM cells and retrieved tumors for RNA sequencing. To study dissemination and homing, KO and FL addback MM cells were injected intravenously in SCID mice. Mice were monitored for development of tumors or hindlimb paralysis and femora/tumors harvested once mice reached endpoint. Results: ROBO1 is highly expressed in MM cell lines and primary cells but low/absent in normal plasma cells and other hematologic cancer cell lines. ROBO1 KD is specifically cytotoxic for MM cells and ROBO1 KO decreases proliferation, a phenotype fully rescued by FL ROBO1. Compared to WT, ROBO1 KO significantly decreases intramedullary (mean tumor volume (MTV): 1323 vs 457 mm3, p value= 0.02) and extramedullary (MTV: 2684 vs 823 mm3, p value= 0.001) tumor growth in vivo. We further discovered that ROBO1 KO decreases adhesion of MM to BM endothelial and BMSC, which is fully rescued by FL ROBO1. In a disseminated mouse model, ROBO1 KO cells generate bone plasmacytoma with reduced BM invasion, as compared to the extensive BM infiltration observed with ROBO1 FL cells. Consistently, in primary samples from patients, we detected ROBO1 expression only in 1 out of 10 solitary plasmacytoma (dim staining) as compared to 14 out of 14 MM bone marrow biopsy samples tested (11 strong, 3 dim, p value= 0.0001). Mechanistically, we show for the first time that ROBO1 C-terminus is cleaved in a ligand-independent fashion; translocates to the nucleus; and is necessary and sufficient to rescue ROBO1 KO proliferative defect. Viceversa, mutants lacking the cytoplasmic domain, including the G674* truncation, act dominantly negative. Interactomic and RNA sequencing studies point to a previously unknown function of ROBO1 in RNA processing, setting the bases for future studies. Conclusions: We show for the first time that ROBO1 is necessary for MM growth and homing to the BM. Cleaved ROBO1 cytosolic domain translocates to the nucleus and is necessary and sufficient to rescue ROBO1 KO proliferative defect, possibly by participating in RNA processing. These data suggest that ROBO1 C-terminus may be a novel molecular target in MM. Citation Format: Giada Bianchi, Peter G. Czarnecki, Matthew Ho, Aldo M. Roccaro, Antonio Sacco, Yawara Kawano, Annamaria Gulla, Anil Aktas Samur, Tianzeng Cheng, Kenneth Wen, Yu-Tzu Tai, Maria Moscvin, Xinchen Wu, Gulden Camci-Unal, Matteo Claudio Da VIa, Niccolo Bolli, Ruben D. Carrasco, Irene M. Ghobrial, Kenneth C. Anderson. ROBO1 promotes homing, dissemination, and survival of multiple myeloma within the bone marrow microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr LB217.

PURPOSEHepatocellular carcinoma (HCC) has well-defined environmental risk factors. In addition, epidemiologic studies have suggested hereditary risk factors. The goals of this study were to determine the rate of pathogenic and likely pathogenic (P/LP) germline variants in cancer predisposition genes in patients with HCC, possible enrichment of P/LP variants in particular genes, and potential impact on clinical management.MATERIALS AND METHODSA prospective study at a tertiary medical center enrolled 217 patients with a personal history of HCC. Multigene panel testing was performed for 134 cancer predisposition genes in all patients. The rate of P/LP variants was compared with population rates. A separate retrospective cohort included 219 patients with HCC who underwent testing at a commercial laboratory.RESULTSIn the prospective cohort, P/LP germline variants were identified in 25 of 217 patients with HCC (11.5%). Four patients (1.8%) had P/LP variants in the highly penetrant cancer genes BRCA2 (n = 2), MSH6 (n = 1), and PMS2 (n = 1). In addition, multiple patients had P/LP variants in FANCA (n = 5) and BRIP1 (n = 4), which were significantly enriched in HCC compared with the general population. Detection of P/LP variants led to changes in clinical management in regard to therapy selection, screening recommendations, and cascade testing of relatives. In a separate retrospective analysis of 219 patients with HCC, 30 (13.7%) were positive for P/LP variants including 13 (5.9%) with highly penetrant genes APC (n = 2), BRCA1 (n = 1), BRCA2 (n = 6), MSH2 (n = 2), or TP53 (n = 2).CONCLUSIONP/LP germline variants in cancer predisposition genes were detected in 11%-14% of patients with HCC. Inherited genetics should not be overlooked in HCC as there are important implications for precision treatment, future risk of cancers, and familial cancer risk.