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Aims Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binds to angiotensin converting enzyme 2 (ACE2) enabling entrance of the virus into cells and causing the infection termed coronavirus disease of 2019 (COVID-19). Here, we investigate associations between plasma ACE2 and outcome of COVID-19. Methods and results This analysis used data from a large longitudinal study of 306 COVID-19 positive patients and 78 COVID-19 negative patients (MGH Emergency Department COVID-19 Cohort). Comprehensive clinical data were collected on this cohort, including 28-day outcomes. The samples were run on the Olink® Explore 1536 platform which includes measurement of the ACE2 protein. High admission plasma ACE2 in COVID-19 patients was associated with increased maximal illness severity within 28 days with OR = 1.8, 95%-CI: 1.4–2.3 (P < 0.0001). Plasma ACE2 was significantly higher in COVID-19 patients with hypertension compared with patients without hypertension (P = 0.0045). Circulating ACE2 was also significantly higher in COVID-19 patients with pre-existing heart conditions and kidney disease compared with patients without these pre-existing conditions (P = 0.0363 and P = 0.0303, respectively). Conclusion This study suggests that measuring plasma ACE2 is potentially valuable in predicting COVID-19 outcomes. Further, ACE2 could be a link between COVID-19 illness severity and its established risk factors hypertension, pre-existing heart disease and pre-existing kidney disease.

Understanding the dynamics of the human proteome is crucial for developing biomarkers to be used as measurable indicators for disease severity and progression, patient stratification, and drug development. The Proximity Extension Assay (PEA) is a technology that translates protein information into actionable knowledge by linking protein-specific antibodies to DNA-encoded tags. In this report we demonstrate how we have combined the unique PEA technology with an innovative and automated sample preparation and high-throughput sequencing readout enabling parallel measurement of nearly 1500 proteins in 96 samples generating close to 150,000 data points per run. This advancement will have a major impact on the discovery of new biomarkers for disease prediction and prognosis and contribute to the development of the rapidly evolving fields of wellness monitoring and precision medicine., Graphical Abstract, Highlights • Novel tool for protein discovery and quantification. • PEA technology in combination with high-throughput sequencing read-out. • Parallel measurement of nearly 1500 proteins. • Innovative, miniaturized, and automated sample preparation protocol., In Brief Wik et al. presents a groundbreaking method based on the PEA technology in combination with NGS readout to measure nearly 1500 validated proteins in parallel. The protocol contains an innovative and automated sample preparation workflow generating close to 150,000 data points per run while consuming minimal amount of sample. Using dual DNA tags as readout enables high multiplex detection with exceptional specificity. This protocol meets all the requirements for a proteomic tool of the 21st century healthcare.

Mechanisms underlying severe coronavirus disease 2019 (COVID-19) disease remain poorly understood. We analyze several thousand plasma proteins longitudinally in 306 COVID-19 patients and 78 symptomatic controls, uncovering immune and non-immune proteins linked to COVID-19. Deconvolution of our plasma proteome data using published scRNA-seq datasets reveals contributions from circulating immune and tissue cells. Sixteen percent of patients display reduced inflammation yet comparably poor outcomes. Comparison of patients who died to severely ill survivors identifies dynamic immune-cell-derived and tissue-associated proteins associated with survival, including exocrine pancreatic proteases. Using derived tissue-specific and cell-type-specific intracellular death signatures, cellular angiotensin-converting enzyme 2 (ACE2) expression, and our data, we infer whether organ damage resulted from direct or indirect effects of infection. We propose a model in which interactions among myeloid, epithelial, and T cells drive tissue damage. These datasets provide important insights and a rich resource for analysis of mechanisms of severe COVID-19 disease., Graphical abstract, Filbin et al. use plasma proteomics in 306 coronavirus disease 2019 (COVID-19) patients and 78 symptomatic controls over time to better understand the role of circulating immune cells and tissue cells in inflammation, disease severity, and survival. They propose a model in which interactions among myeloid, epithelial, and T cells drive tissue damage.

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) binds to angiotensin converting enzyme 2 (ACE2) enabling entrance of the virus into cells and causing the infection termed coronavirus disease of 2019 (COVID-19). COVID-19 is a disease with a very broad spectrum of clinical manifestations, ranging from asymptomatic and subclinical infection to severe hyperinflammatory syndrome and death. Methods This study used data from a large longitudinal study of 306 COVID-19 positive patients and 78 COVID-19 negative patients (MGH Emergency Department COVID-19 Cohort with Olink Proteomics). Comprehensive clinical data were collected on this cohort, including 28-day outcomes classified according to the World Health Organization (WHO) COVID-19 outcomes scale. The samples were run on the Olink® Explore 1536 platform which includes measurement of the ACE2 protein. Findings High baseline levels of ACE2 in plasma from COVID-19 patients were associated with worse WHOmax category at 28 days with OR=0.56, 95%-CI: 0.44-0.71 (P < 0.0001). This association was significant in regression models with correction for baseline characteristics, pre-existing medical conditions, and laboratory test results. High levels of ACE2 in plasma from COVID-19 patients were also significantly associated with worse WHO category at the time of blood sampling at both day 0, day 3, and day 7 (P = 0.0004, P < 0.0001, and P < 0.0001, respectively). The levels of ACE2 in plasma from COVID-19 patients with hypertension were significantly higher compared to patients without hypertension (P = 0.0045). The plasma ACE2 levels were also significantly higher in COVID-19 patients with pre-existing heart conditions and kidney disease compared with patients without these pre-existing conditions (P = 0.0363 and P = 0.0303, respectively). There was no difference in plasma ACE2 levels comparing patients with or without pre-existing lung disease, diabetes, or immunosuppressive conditions (P = 0.953, P = 0.291, and P = 0.237, respectively). The associations between high plasma levels of ACE2 and worse WHOmax category during 28 days were more pronounced in COVID-19 positive patients compared with COVID-19 negative patients but the difference was not significant in the two-way ANOVA analysis. Interpretation This study suggests that measuring ACE2 is potentially valuable in predicting COVID-19 outcomes. Further, ACE2 levels could be a link between severe COVID-19 disease and its risk factors, namely hypertension, pre-existing heart disease and pre-existing kidney disease. The design of the data analysis using the Olink platform does not allow assessment of quantitative differences. However, previous studies have described a positive correlation between plasma ACE2 and ACE1 activity. This is interesting because ACE1 (serum ACE) analysis is a standardized test in most hospital laboratories. Therefore, our study encourages quantitative investigations of both plasma ACE 1 and 2 in COVID-19. Key Points Question Can plasma levels of the receptor for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), angiotensin converting enzyme 2 (ACE2), predict outcome of coronavirus disease of 2019 (COVID-19). Findings In this study of 306 COVID-19 positive patients, high baseline levels of ACE2 in plasma from COVID-19 patients were associated with worse outcome measured by the World Health Organization (WHO) COVID-19 outcomes scale. Meaning Measuring ACE2 is potentially valuable in predicting COVID-19 outcomes and link COVID-19 disease and the risk factors hypertension, pre-existing heart disease and pre-existing kidney disease.

SummaryCOVID-19 has caused over 1 million deaths globally, yet the cellular mechanisms underlying severe disease remain poorly understood. By analyzing several thousand plasma proteins in 306 COVID-19 patients and 78 symptomatic controls over serial timepoints using two complementary approaches, we uncover COVID-19 host immune and non-immune proteins not previously linked to this disease. Integration of plasma proteomics with nine published scRNAseq datasets shows that SARS-CoV-2 infection upregulates monocyte/macrophage, plasmablast, and T cell effector proteins. By comparing patients who died to severely ill patients who survived, we identify dynamic immunomodulatory and tissue-associated proteins associated with survival, providing insights into which host responses are beneficial and which are detrimental to survival. We identify intracellular death signatures from specific tissues and cell types, and by associating these with angiotensin converting enzyme 2 (ACE2) expression, we map tissue damage associated with severe disease and propose which damage results from direct viral infection rather than from indirect effects of illness. We find that disease severity in lung tissue is driven by myeloid cell phenotypes and cell-cell interactions with lung epithelial cells and T cells. Based on these results, we propose a model of immune and epithelial cell interactions that drive cell-type specific and tissue-specific damage in severe COVID-19.

Background People with human immunodeficiency virus (PWH) demonstrate increased atherosclerotic cardiovascular disease (ASCVD). Statins are being studied to prevent ASCVD in human immunodeficiency virus (HIV), but little is known regarding the effects of statins on a broad range of inflammatory and cardiovascular proteins in this population. Methods We used a highly specific discovery proteomic approach (Protein Extension Assay), to determine statin effects on over 350 plasma proteins in relevant ASCVD pathways among HIV and non-HIV groups. Responses to pitavastatin calcium were assessed in 89 PWH in the INTREPID trial and 46 non-HIV participants with features of central adiposity and insulin resistance. History of cardiovascular disease was exclusionary for both studies. Results Among participants with HIV, PCOLCE (enzymatic cleavage of type I procollagen) significantly increased after pitavastatin therapy and PLA2G7 (systemic marker of arterial inflammation) decreased. Among participants without HIV, integrin subunit alpha M (integrin adhesive function) and defensin alpha-1 (neutrophil function) increased after pitavastatin therapy and PLA2G7 decreased. At baseline, comparing participants with and without HIV, differentially expressed proteins included proteins involved in platelet and endothelial function and immune activation. Conclusions Pitavastatin affected proteins important to platelet and endothelial function and immune activation, and effects differed to a degree within PWH and participants without HIV.

Recent advances in the treatment of multiple myeloma have led to significant improvements in overall survival. One contributor to this progress was the 2012 FDA approval of carfilzomib for the trea...

Objective HIV patients have increased atherosclerotic coronary vascular disease (ASCVD), thought to be mediated through inflammatory mechanisms. We hypothesized that among asymptomatic HIV-infected patients with subclinical coronary plaque, statin therapy would modulate unique inflammatory and cardiovascular proteins in relation to change in subclinical coronary plaque volume. We tested this hypothesis using a novel proteomics approach. Design Forty HIV-infected participants were randomized to atorvastatin (40 mg/day) versus placebo, and underwent computed tomography coronary angiography to quantify plaque volume at baseline and 1 year. Methods We used Olink Cardiovascular III and Cardiometabolic panels based on dual antibody epitope recognition with linked DNA amplification to compare change over time in 184 proteins in treatment versus placebo and in relation to change in coronary plaque volume. Results Six proteins (TFPI, CCL24, NT-Pro BNP, MBL2, LTBR, PCOLCE) changed significantly in the atorvastatin versus placebo group, many in innate immune and other novel inflammatory pathways. Twenty-six proteins changed significantly in relationship to total coronary plaque volume over 1 year. Notably, many of these proteins changed only weakly in relationship to change in low-density lipoprotein (LDL). Overlapping these two broad discovery approaches, proteins involved in myocardial fibrosis/collagen formation and monocyte chemoattraction changed with statin treatment, in relationship to plaque volume, but not LDL. Conclusion This proof-of-concept study employing a proteomic discovery platform offers insight into statin effects on novel immune pathways relevant to ASCVD progression in HIV. Novel biomarker discovery may enhance precision medicine strategies to estimate the efficacy of targeted therapies to reduce ASCVD progression and events in HIV.

Background People with HIV (PWH) demonstrate increased cardiovascular disease (CVD), due in part to increased immune activation, inflammation, and endothelial dysfunction. Methods In a randomized trial (INTREPID), 252 HIV-infected participants with dyslipidemia and no history of coronary artery disease were randomized (1:1) to pitavastatin 4 mg vs. pravastatin 40 mg for 52 weeks. Using a proteomic discovery approach, 92 proteins biomarkers were assessed using Proximity Extension Assay technology to determine the effects of statins on key atherosclerosis and CVD pathways among PWH. 225 participants had specimens available for biomarker analysis pre- and post-baseline. Findings The mean age was 49.5 ± 8.0 (mean ± SD), LDL-C 155 ± 25 mg/dl and CD4 count 620 ± 243 cell/mm3. Among all participants, three proteins significantly decreased: tissue factor pathway inhibitor [TFPI; t-statistic = -6.38, FDR p-value Interpretation Using a proteomics approach, we demonstrated that statins led to a significant reduction in the levels of TFPI, PON3, and LDLR and an increase in Gal-4 and IGFBP-2, key proteins involved in coagulation, redox signaling, oxidative stress, and glucose metabolism. Pitavastatin led to a greater reduction in TFPI than pravastatin. These data highlight potential novel mechanisms of statin effects among PWH. FUND: This work was supported by an investigator-initiated grant to S.K.G. from KOWA Pharmaceuticals America, Inc. and the National Institutes of Health [P30 DK040561; Nutrition Obesity Research Center at Harvard]. M.T. was support by National Institutes of Health [5KL2TR001100-05; Harvard Catalyst KL2 grant].

Padlock and selector probes are versatile tools that have been used and developed as great alternatives to molecular methods for the detection of nucleic acid sequences in the context of medicine. Their application has been proven to be useful in different areas from targeted sequencing, genotyping, and molecular diagnostics to the development of novel biosensors and techniques. This chapter describes the molecular functioning of these probes, in combination with DNA ligase-assisted specific circularization and isothermal rolling circle amplification, their properties, and their main applications in the field of medicine to date. It shows the potential of these approaches for developing assays that can be integrated into assays or instruments that will enable and improve access to information valuable for molecular medicine research and for improving medical diagnostics.

Current assays for somatic mutation analysis are based on extracts from tissue sections that often contain morphologically heterogeneous neoplastic regions with variable contents of genetically normal stromal and inflammatory cells, obscuring the results of the assays. We have developed an RNA-based in situ mutation assay that targets oncogenic mutations in a multiplex fashion that resolves the heterogeneity of the tissue sample. Activating oncogenic mutations are targets for a new generation of cancer drugs. For anti-EGFR therapy prediction, we demonstrate reliable in situ detection of KRAS mutations in codon 12 and 13 in colon and lung cancers in three different types of routinely processed tissue materials. High-throughput screening of KRAS mutation status was successfully performed on a tissue microarray. Moreover, we show how the patterns of expressed mutated and wild-type alleles can be studied in situ in tumors with complex combinations of mutated EGFR, KRAS and TP53. This in situ method holds great promise as a tool to investigate the role of somatic mutations during tumor progression and for prediction of response to targeted therapy.

The proliferation, cell cycle exit and differentiation of progenitor cells are controlled by several different factors. The chromodomain protein mortality factor 4-like 1 (Morf4l1) has been ascribed a role in both proliferation and differentiation. Little attention has been given to the existence of alternative splice variants of the Morf4l1 mRNA, which encode two Morf41l isoforms: a short isoform (S-Morf4l1) with an intact chromodomain and a long isoform (L-Morf4l1) with an insertion in or in the vicinity of the chromodomain. The aim of this study was to investigate if this alternative splicing has a function during development. We analysed the temporal and spatial distribution of the two mRNAs and over-expressed both isoforms in the developing retina. The results showed that the S-Morf4l1 mRNA is developmentally regulated. Over-expression of S-Morf4l1 using a retrovirus vector produced a clear phenotype with an increase of early-born neurons: retinal ganglion cells, horizontal cells and cone photoreceptor cells. Over-expression of L-Morf4l1 did not produce any distinguishable phenotype. The over-expression of S-Morf4l1 but not L-Morf4l1 also increased apoptosis in the infected regions. Our results suggest that the two Morf4l1 isoforms have different functions during retinogenesis and that Morf4l1 functions are fine-tuned by developmentally regulated alternative splicing. The data also suggest that Morf4l1 contributes to the regulation of cell genesis in the retina.

Analysis at the single-cell level is essential for the understanding of cellular responses in heterogeneous cell populations, but it has been difficult to perform because of the strict requirements put on detection methods with regard to selectivity and sensitivity (i.e., owing to the cross-reactivity of probes and limited signal amplification). Here we describe a 1.5-d protocol for enumerating and genotyping mRNA molecules in situ while simultaneously obtaining information on protein interactions or post-translational modifications; this is achieved by combining padlock probes with in situ proximity ligation assays (in situ PLA). In addition, we provide an example of how to design padlock probes and how to optimize staining conditions for fixed cells and tissue sections. Both padlock probes and in situ PLA provide the ability to directly visualize single molecules by standard microscopy in fixed cells or tissue sections, and these methods may thus be valuable for both research and diagnostic purposes.

INTRODUCTION Dendritic cells (DCs) and monocytes consist of multiple specialized subtypes that play a central role in pathogen sensing, phagocytosis, and antigen presentation. However, their identities and interrelationships are not fully understood, as these populations have historically been defined by a combination of morphology, physical properties, localization, functions, developmental origins, and expression of a restricted set of surface markers. RATIONALE To overcome this inherently biased strategy for cell identification, we performed single-cell RNA sequencing of ~2400 cells isolated from healthy blood donors and enriched for HLA-DR + lineage − cells. This single-cell profiling strategy and unbiased genomic classification, together with follow-up profiling and functional and phenotypic characterization of prospectively isolated subsets, led us to identify and validate six DC subtypes and four monocyte subtypes, and thus revise the taxonomy of these cells. RESULTS Our study reveals: 1) A new DC subset, representing 2 to 3% of the DC populations across all 10 donors tested, characterized by the expression of AXL , SIGLEC1 , and SIGLEC6 antigens, named AS DCs. The AS DC population further divides into two populations captured in the traditionally defined plasmacytoid DC (pDC) and CD1C + conventional DC (cDC) gates. This split is further reflected through AS DC gene expression signatures spanning a spectrum between cDC-like and pDC-like gene sets. Although AS DCs share properties with pDCs, they more potently activate T cells. This discovery led us to reclassify pDCs as the originally described “natural interferon-producing cells (IPCs)” with weaker T cell proliferation induction ability. 2) A new subdivision within the CD1C + DC subset: one defined by a major histocompatibility complex class II–like gene set and one by a CD14 + monocyte–like prominent gene set. These CD1C + DC subsets, which can be enriched by combining CD1C with CD32B, CD36, and CD163 antigens, can both potently induce T cell proliferation. 3) The existence of a circulating and dividing cDC progenitor giving rise to CD1C + and CLEC9A + DCs through in vitro differentiation assays. This blood precursor is defined by the expression of CD100 + CD34 int and observed at a frequency of ~0.02% of the LIN – HLA-DR + fraction. 4) Two additional monocyte populations: one expressing classical monocyte genes and cytotoxic genes, and the other with unknown functions. 5) Evidence for a relationship between blastic plasmacytoid DC neoplasia (BPDCN) cells and healthy DCs. CONCLUSION Our revised taxonomy will enable more accurate functional and developmental analyses as well as immune monitoring in health and disease. The discovery of AS DCs within the traditionally defined pDC population explains many of the cDC properties previously assigned to pDCs, highlighting the need to revisit the definition of pDCs. Furthermore, the discovery of blood cDC progenitors represents a new therapeutic target readily accessible in the bloodstream for manipulation, as well as a new source for better in vitro DC generation. Although the current results focus on DCs and monocytes, a similar strategy can be applied to build a comprehensive human immune cell atlas.

A tumor does not consist of a homogenous population of cancer cells. Therefore, to understand cancer, the tumor microenvironment and the interplay between the different cell types present in the tumor has to be taken into account, and how this regulates the growth and survival of the cancer cells. To achieve a full picture of this complex interplay, analysis of tumor tissue should ideally be performed with cellular resolution, providing activity status of individual cells in this heterogeneous population of different cell-types. In addition, in situ analysis provides information on the architecture of the tissue wherein the cancer cells thrive, providing information of the identity of neighboring cells that can be used to understand cell-cell communication. Herein we describe how padlock probes and in situ PLA can be used for visualization of nucleic acids and protein activity, respectively, directly in tissue sections, and their potential future role in personalized medicine.

We have developed an approach for simultaneous detection of individual endogenous protein modifications and mRNA molecules in single cells in situ. For this purpose we combined two methods previously developed in our lab: in situ proximity ligation assay for the detection of individual protein interactions and -modifications and in situ detection of single mRNA molecules using padlock probes. As proof-of-principle, we demonstrated the utility of the method for simultaneous detection of phosphorylated PDGFRβ and DUSP6/MKP-3 mRNA molecules in individual human fibroblasts upon PDGF-BB stimulation. Further we applied drugs disrupting the PDGFRβ signaling pathway at various sites to show that this combined method can concurrently monitor the molecular effect of the drugs, i.e. inhibition of downstream signaling from the targeted node in the signaling pathway. Due to its ability to detect different types of molecules in single cells in situ the method presented here can contribute to a deeper understanding of cell-to-cell variations and can be applied to e.g. pinpoint effector sites of drugs in a signaling pathway.

Padlock and selector probes are versatile tools that have been used and developed as great alternatives to molecular methods for the detection of nucleic acid sequences in the context of medicine. Their application has been proven to be useful in different areas from targeted sequencing, genotyping, and molecular diagnostics to the development of novel biosensors and techniques. This chapter describes the molecular functioning of these probes, in combination with DNA ligase-assisted specific circularization and isothermal rolling circle amplification, their properties, and their main applications in the field of medicine to date. It shows the potential of these approaches for developing assays that can be integrated into assays or instruments that will enable and improve access to information valuable for molecular medicine research and for improving medical diagnostics.

Increasing knowledge about the heterogeneity of mRNA expression within cell populations highlights the need to study transcripts at the level of single cells. We present a method for detection and genotyping of individual transcripts based on padlock probes and in situ target-primed rolling-circle amplification. We detect a somatic point mutation, differentiate between members of a gene family and perform multiplex detection of transcripts in human and mouse cells and tissue.

BACKGROUND: Cardiovascular (CV) events are a known complication to proteasome inhibitor therapy in myeloma. Underlying mechanisms are unknown. We recently completed an investigator initiated, single institution Phase II study of high dose carfilzomib (56mg/m2) in patients with relapsed/refractory MM (NCT01351623). Among 42 response evaluable patients, 11 patients (25%) developed treatment-emergent heart failure of any grade, and 5 patients (11%) developed severe heart failure requiring mechanical ventilation. We undertook a study to identify potential biomarkers that may point to underlying mechanisms of CV events among multiple myeloma patients treated with carfilzomib therapy. METHODS: We performed a nested case-control study with 7 patients who experienced a CV event on our high dose carfilzomib study and had pre-treatment (baseline) plasma stored and 19 case matched controls treated on the same study who did not have a CV event. We screened for 90 proteins known to be associated with CV disease using O-linked glycosylation. We used the Proseek Multiplex CVD I 96x96 platform which is based on the Proximity Extension Assay (PEA) technique. PEA is a 96-plex immunoassay that allows high throughput detection of protein biomarkers in liquid samples. For each biomarker, a matched pair of antibodies linked to unique oligonucleotides (proximity probes) binds to the respective protein target. Upon binding, the unique proximity probes can hybridize to each other and subsequently be detected and quantified by real-time PCR. Mean biomarker levels were compared using a t-test. False discovery rate (FDR) was used for multiple comparisons adjustment. RESULTS: Using samples collected prior to initiation of carfilzomib therapy, in an agnostic statistical model we identified the following four proteins to have altered levels in myeloma patients who developed CV events (p=0.002-0.004, unadjusted; p=0.089, after FDR correction): matrix metalloproteinase-1 (MMP-1, heparin-binding EGF-like growth factor (HB-EGF), TNF-related apoptosis-inducing ligand (TRAIL), and myoglobin (MB). Myeloma patients who developed CV events had 37% lower MMP-1, 15% lower MB, and 4% lower HB-EGF, while TRAIL was 7% higher in patients who developed CV events. Matrix metalloproteinases are a family of proteolytic enzymes responsible, among other functions, for myocardial extracellular protein degradation. Interestingly, several MMP species, including MMP-1, have been identified within the human myocardium and are thought to be dysregulated in congestive heart failure. HB-EGF is a mitogenic and chemotactic glycoprotein that is essential for maintaining normal cardiac function and is known to play an important role in myocardial remodeling. CONCLUSIONS: We found that there was a trend towards lower MMP-1, HB-EGF, and MB levels and higher TRAIL levels in patients with CV events while receiving proteasome therapy. MMP-1 appears to be the most promising potential biomarker based on our data. Our study supports further investigation of these proteins as potential biomarkers for patients at risk of CV events when treated with carfilzomib. Table 1. CV event No CV event N=7 N=19 CKD Proteins1 Mean (SD) Mean(SD) Unadjusted P-value Adjusted P-value MMP_1 1.7 (0.5) 2.7 (0.9) 0.002 0.089 HB_EGF 6.9 (0.2) 7.2 (0.3) 0.004 0.089 TRAIL 8 (0.3) 7.5 (0.5) 0.004 0.089 MB 5 (0.5) 5.9 (0.8) 0.004 0.089 HSP_27 2.2 (0.3) 2.7 (0.8) 0.032 0.528 PDGF_subunit_B 4 (0.7) 5 (1.5) 0.036 0.528 CD40_L 3.4 (0.6) 4.2 (1.2) 0.042 0.533 EGF 3.7 (0.9) 4.7 (1.4) 0.053 0.592 CX3CL1 5.9 (0.2) 5.6 (0.6) 0.092 0.895 TRAIL_R2 4.2 (0.4) 4.6 (0.6) 0.101 0.895 1. Proteins are listed based on the p-value associated with the difference between patients who did and did not have CV events, with lowest p-value on the top. The top 10 biomarkers are shown. Disclosures Ekman: Olink Bioscience: Employment. Grundberg:Olink Bioscience: Employment. Hassoun:Celgene: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Takeda: Research Funding; Novartis: Consultancy. Lesokhin:Aduro: Consultancy; Efranat: Consultancy; Genentech: Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Janssen: Consultancy, Research Funding. Landau:Janssen: Consultancy; Prothena: Consultancy, Honoraria; Janssen: Consultancy; Spectrum Pharmaceuticals: Honoraria; Onyx: Honoraria, Research Funding; Takeda: Research Funding. Giralt:TAKEDA: Consultancy, Honoraria, Research Funding; JAZZ: Consultancy, Honoraria, Research Funding, Speakers Bureau; AMGEN: Consultancy, Research Funding; SANOFI: Consultancy, Honoraria, Research Funding; CELGENE: Consultancy, Honoraria, Research Funding. Landgren:Onyx: Honoraria; Celgene: Honoraria; BMJ Publishing: Consultancy; International Myeloma Foundation: Research Funding; Bristol-Myers Squibb: Honoraria; Onyx: Research Funding; Medscape: Consultancy; Medscape: Honoraria; BMJ Publishing: Honoraria; Bristol-Myers Squibb: Consultancy; Celgene: Consultancy; Onyx: Consultancy.

Wild-type mice do not naturally express CD46, a protein expressed on all nucleated human cells and proposed to be the functional receptor for Adenoviruses (Ad) of species B. Mice do however express a homologue to human coxsackievirus-adenovirus receptor (CAR), the common Ad receptor for several serotypes, including Ad5p (species C) and Ad4 (species E).

Activating oncogenic mutations are targets for a new generation of cancer drugs. Current mutation assays for clinical diagnostics are based on DNA-extracts from tissue sections that often contain morphologically heterogeneous neoplastic regions with variable mixtures of normal stromal and inflammatory cells. We have developed an RNA-based in situ mutation assay that can target oncogenic mutations in a multiplex fashion on tissue slides by the use of multiple mutation-specific padlock probes and rolling-circle amplification. For EGFR therapy prediction, we demonstrate reliable in situ detection of KRAS mutations in codon 12 and 13 in colon and lung cancer - on cytologic tumor imprints as well as on fresh frozen and formalin-fixed, paraffin-embedded tissue sections. High throughput screening of KRAS mutation status was successfully performed on a tissue microarray. Moreover, we show how the pattern of expressed mutated and wild-type alleles can be studied in situ from tumors with complex combinations of mutated EGFR, KRAS and TP53. This in situ method holds great promise as a tool to investigate the role of somatic mutations during tumor progression and for prediction of response to targeted therapy. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 2097. doi:1538-7445.AM2012-2097

The current arsenal of molecular tools for site-directed cleavage of single-stranded DNA (ssDNA) is limited. Here, we describe a method for targeted DNA cleavage that requires only the presence of an A nucleotide at the target position. The procedure involves hybridization of a complementary oligonucleotide probe to the target sequence. The probe is designed to create a deliberate G:A mismatch at the desired position of cleavage. The DNA repair enzyme MutY glycosylase recognizes the mismatch structure and selectively removes the mispaired A from the duplex to create an abasic site in the target strand. Addition of an AP-endonuclease, such as Endonuclease IV, subsequently cleaves the backbone dividing the DNA strand into two fragments. With an appropriate choice of an AP-cleaving enzyme, the 3'- and 5'-ends of the cleaved DNA are suitable to take part in subsequent enzymatic reactions such as priming for polymerization or joining by DNA ligation. We define suitable standard reaction conditions for glycosylase/AP-cleaving enzyme (G/AP) cleavage, and demonstrate the use of the method in an improved scheme for in situ detection using target-primed rolling-circle amplification of padlock probes.