Omar Abudayyeh

Mass-encoded synthetic biomarkers for multiplexed urinary monitoring of disease.

Biomarkers are becoming increasingly important in the clinical management of complex diseases, yet our ability to discover new biomarkers remains limited by our dependence on endogenous molecules. Here we describe the development of exogenously administered synthetic biomarkers composed of mass-encoded peptides conjugated to nanoparticles that leverage intrinsic features of human disease and physiology for noninvasive urinary monitoring. These protease-sensitive agents perform three functions in vivo: they target sites of disease, sample dysregulated protease activities and emit mass-encoded reporters into host urine for multiplexed detection by mass spectrometry. Using mouse models of liver fibrosis and cancer, we show that these agents can noninvasively monitor liver fibrosis and resolution without the need for invasive core biopsies and substantially improve early detection of cancer compared with current clinically used blood biomarkers. This approach of engineering synthetic biomarkers for multiplexed urinary monitoring should be broadly amenable to additional pathophysiological processes and point-of-care diagnostics.

A Melanoma Cell State Distinction Influences Sensitivity to MAPK Pathway Inhibitors

UNLABELLEDnMost melanomas harbor oncogenic BRAF(V600) mutations, which constitutively activate the MAPK pathway. Although MAPK pathway inhibitors show clinical benefit in BRAF(V600)-mutant melanoma, it remains incompletely understood why 10% to 20% of patients fail to respond. Here, we show that RAF inhibitor-sensitive and inhibitor-resistant BRAF(V600)-mutant melanomas display distinct transcriptional profiles. Whereas most drug-sensitive cell lines and patient biopsies showed high expression and activity of the melanocytic lineage transcription factor MITF, intrinsically resistant cell lines and biopsies displayed low MITF expression but higher levels of NF-κB signaling and the receptor tyrosine kinase AXL. In vitro, these MITF-low/NF-κB-high melanomas were resistant to inhibition of RAF and MEK, singly or in combination, and ERK. Moreover, in cell lines, NF-κB activation antagonized MITF expression and induced both resistance marker genes and drug resistance. Thus, distinct cell states characterized by MITF or NF-κB activity may influence intrinsic resistance to MAPK pathway inhibitors in BRAF(V600)-mutant melanoma.nnnSIGNIFICANCEnAlthough most BRAF(V600)-mutant melanomas are sensitive to RAF and/or MEK inhibitors, a subset fails to respond to such treatment. This study characterizes a transcriptional cell state distinction linked to MITF and NF-κB that may modulate intrinsic sensitivity of melanomas to MAPK pathway inhibitors.

Characterizing genomic alterations in cancer by complementary functional associations

Systematic efforts to sequence the cancer genome have identified large numbers of mutations and copy number alterations in human cancers. However, elucidating the functional consequences of these variants, and their interactions to drive or maintain oncogenic states, remains a challenge in cancer research. We developed REVEALER, a computational method that identifies combinations of mutually exclusive genomic alterations correlated with functional phenotypes, such as the activation or gene dependency of oncogenic pathways or sensitivity to a drug treatment. We used REVEALER to uncover complementary genomic alterations associated with the transcriptional activation of β-catenin and NRF2, MEK-inhibitor sensitivity, and KRAS dependency. REVEALER successfully identified both known and new associations, demonstrating the power of combining functional profiles with extensive characterization of genomic alterations in cancer genomes.

Multiplex gene editing by CRISPR-Cpf1 through autonomous processing of a single crRNA array

Microbial CRISPR-Cas defense systems have been adapted as a platform for genome editing applications built around the RNA-guided effector nucleases, such as Cas9. We recently reported the characterization of Cpf1, the effector nuclease of a novel type V-A CRISPR system, and demonstrated that it can be adapted for genome editing in mammalian cells (Zetsche et al., 2015). Unlike Cas9, which utilizes a trans-activating crRNA (tracrRNA) as well as the endogenous RNaseIII for maturation of its dual crRNA:tracrRNA guides (Deltcheva et al., 2011), guide processing of the Cpf1 system proceeds in the absence of tracrRNA or other Cas (CRISPR associated) genes (Zetsche et al., 2015) (Figure 1a), suggesting that Cpf1 is sufficient for pre-crRNA maturation. This has important implications for genome editing, as it would provide a simple route to multiplex targeting. Here, we show for two Cpf1 orthologs that no other factors are required for array processing and demonstrate multiplex gene editing in mammalian cells as well as in the mouse brain by using a designed single CRISPR array.

A Survey of Genome Editing Activity for 16 Cpf1 orthologs

The recently discovered class 2 CRISPR-Cas endonuclease Cpf1 offers several advantages over Cas9, including the ability to process its own array and requirement for just a single RNA guide. These attributes make Cpf1 promising for many genome engineering applications. To further expand the suite of Cpf1 tools available, we tested 16 Cpf1 orthologs for activity in eukaryotic cells. Four of these new enzymes demonstrated targeted activity, one of which, from Moraxella bovoculi AAX11_00205 (Mb3Cpf1), exhibited robust indel formation. We also show that Mb3Cpf1 displays some tolerance for a shortened PAM (TTN versus the canonical Cpf1 PAM TTTV). The addition of these enzymes to the genome editing toolbox will further expand the utility of this powerful technology.

Decomposing Oncogenic Transcriptional Signatures to Generate Maps of Divergent Cellular States

The systematic sequencing of the cancer genome has led to the identification of numerous genetic alterations in cancer. However, a deeper understanding of the functional consequences of thesexa0alterations is necessary to guide appropriatexa0therapeutic strategies. Here, we describe Onco-GPS (OncoGenic Positioning System), a data-driven analysis framework to organize individual tumor samples with shared oncogenic alterations onto a reference map defined by theirxa0underlying cellular states. We applied the methodology to the RAS pathway and identifiedxa0nine distinct components that reflect transcriptional activities downstream of RAS and defined several functional states associated with patterns of transcriptional component activation that associates with genomic hallmarks and response to genetic and pharmacological perturbations. These results show that the Onco-GPS is an effective approach to explore the complex landscape of oncogenic cellular states across cancers, and an analytic framework to summarize knowledge, establish relationships, and generate more effective disease models for research or asxa0part of individualized precision medicine paradigms.

Abstract PR04: A melanoma transcriptional state distinction influences sensitivity to MAPK pathway inhibitors

The deployment of cancer therapeutics that exploit oncogenic dependencies has yielded remarkable advances in patient treatment. However, the therapeutic benefit of these approaches is transient and the majority of patients develop resistance within several months. BRAF V600E -mutant malignant melanoma provides an illustrative example of this phenomenon: treatment with RAF and MEK inhibitors yields clinical responses in 50-80% of patients. However, 10-20% fail to respond to treatment (intrinsic resistance) and patients that do respond become drug resistant within ∼9 months (acquired resistance), presenting a formidable and unsolved clinical challenge. It remains incompletely understood why a subset of BRAF V600 -mutant melanoma patients (10-20%) fail to respond to MAPK-pathway inhibition. Here, we show that RAF inhibitor sensitive and resistant BRAF V600 -mutant melanomas display distinct transcriptional profiles. RAF-inhibitor sensitive cell lines are distinguishable by expression and activity of the melanocytic lineage transcription factor MITF, whereas intrinsically drug-resistant cell lines are defined by expression of the receptor tyrosine kinase AXL and elevated levels of NF-κB signaling. In vitro, these signatures were sufficient to predict MAPK-pathway inhibitor responsiveness in independent panels of melanoma cell lines. MITF-low, AXL/NF-κB high melanomas were resistant to single-agent RAF, MEK and ERK and combined RAF/MEK inhibition. In treatment-naive patient biopsies, markers of the drug sensitive transcriptional states were associated with improved therapeutic responses to combined RAF/MEK inhibitors in BRAF V600 -mutant melanoma. Moreover, in cell lines, NF-κB activation antagonized MITF expression and induced both resistance marker genes and drug resistance. Thus, distinct cell states characterized by MITF and AXL/NF-κB activity can influence intrinsic resistance to MAPK pathway inhibitors in BRAF V600 -mutant melanoma. More broadly, these data suggest that the transcriptional context in which an oncogenic event arises can have a profound impact on the establishment of oncogene-dependencies and associated drug susceptibilities. Citation Format: Cory Johannessen, David Konieczkowski, Omar Abudayyeh, Jong Wook Kim, Zachary Cooper, Adriano Piris, Dennie Frederick, Michal Barzily-Rokni, Ravid Straussman, Rizwan Haq, David Fisher, Jill Mesirov, William Hahn, Keith Flaherty, Jennifer Wargo, Pablo Tamayo, Levi Garraway. A melanoma transcriptional state distinction influences sensitivity to MAPK pathway inhibitors. [abstract]. In: Proceedings of the AACR Precision Medicine Series: Drug Sensitivity and Resistance: Improving Cancer Therapy; Jun 18-21, 2014; Orlando, FL. Philadelphia (PA): AACR; Clin Cancer Res 2015;21(4 Suppl): Abstract nr PR04.