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A thermoresponsive hydrogel platform is used to compressively mold and release microtissues on demand. Brain organoids were molded into ring shapes and differentiated within hydrogel devices during long-term culture.

The neocortex is disproportionately expanded in human compared with mouse1,2, both in its total volume relative to subcortical structures and in the proportion occupied by supragranular layers composed of neurons that selectively make connections within the neocortex and with other telencephalic structures. Single-cell transcriptomic analyses of human and mouse neocortex show an increased diversity of glutamatergic neuron types in supragranular layers in human neocortex and pronounced gradients as a function of cortical depth3. Here, to probe the functional and anatomical correlates of this transcriptomic diversity, we developed a robust platform combining patch clamp recording, biocytin staining and single-cell RNA-sequencing (Patch-seq) to examine neurosurgically resected human tissues. We demonstrate a strong correspondence between morphological, physiological and transcriptomic phenotypes of five human glutamatergic supragranular neuron types. These were enriched in but not restricted to layers, with one type varying continuously in all phenotypes across layers 2 and 3. The deep portion of layer 3 contained highly distinctive cell types, two of which express a neurofilament protein that labels long-range projection neurons in primates that are selectively depleted in Alzheimer’s disease4,5. Together, these results demonstrate the explanatory power of transcriptomic cell-type classification, provide a structural underpinning for increased complexity of cortical function in humans, and implicate discrete transcriptomic neuron types as selectively vulnerable in disease., Combined patch clamp recording, biocytin staining and single-cell RNA-sequencing of human neurocortical neurons shows an expansion of glutamatergic neuron types relative to mouse that characterizes the greater complexity of the human neocortex.

An essential step toward understanding brain function is to establish a structural framework with cellular resolution on which multi-scale datasets spanning molecules, cells, circuits and systems can be integrated and interpreted1. Here, as part of the collaborative Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based anatomical description of one exemplar brain structure, the mouse primary motor cortex, upper limb area (MOp-ul). Using genetic and viral labelling, barcoded anatomy resolved by sequencing, single-neuron reconstruction, whole-brain imaging and cloud-based neuroinformatics tools, we delineated the MOp-ul in 3D and refined its sublaminar organization. We defined around two dozen projection neuron types in the MOp-ul and derived an input–output wiring diagram, which will facilitate future analyses of motor control circuitry across molecular, cellular and system levels. This work provides a roadmap towards a comprehensive cellular-resolution description of mammalian brain architecture., Multi-modal analysis is used to generate a 3D atlas of the upper limb area of the mouse primary motor cortex, providing a framework for future studies of motor control circuitry.

Local tissue scale mechanical properties are essential for understanding cell fate and function; however, few methods to measure stiffness at this length scale exist, and applications in 3D tissues can present further challenges. To address this need, microgel-based sensors fabricated out of the thermally responsive hydrogel poly(N-isopropylacrylamide) were developed allowing internal architectures of tissues to be mapped by optically measuring microgel response when actuated in a matrix. These robust probes are widely applicable for in vitro and in vivo studies of tissue mechanics providing tissues can be fluorescently imaged. Here we describe the fabrication of these thermally responsive hydrogel sensors, calibration of the microgels using phantom tissues, and image processing techniques used to make the measurements.

Summary: Integrin receptors coordinate cell adhesion to the extracellular matrix (ECM) to facilitate many cellular processes during malignant transformation. Despite their pro-tumorigenic roles, therapies targeting integrins remain limited. Here, we provide genetic evidence supporting a functional redundancy between β1 and β3 integrin during breast cancer progression. Although ablation of β1 or β3 integrin alone has limited effects on ErbB2-driven mammary tumorigenesis, deletion of both receptors resulted in a significant delay in tumor onset with a corresponding impairment in lung metastasis. Mechanistically, stiff ECM cooperates with integrin receptors to recruit insulin receptors (IRs) to focal adhesion through the formation of integrin/IR complexes, thereby preventing their lysosomal degradation. β1/β3 integrin-deficient tumors that eventually emerged exhibit impaired Akt/mTORC1 activity. Murine and human breast cancers exhibiting enhanced integrin-dependent activity also display elevated IR/Akt/mTORC1 signaling activity. Together, these observations argue that integrin/IR crosstalk transduces mechanical cues from the tumor microenvironment to promote ErbB2-dependent breast cancer progression. : Using a mouse model of ErbB2-driven breast cancer, Bui et al. demonstrate a functional redundancy between two integrin subunits, β1 and β3, during mammary tumorigenesis. Mechanistically, both extracellular matrix (ECM) and integrin receptors regulate insulin receptor (IR) activity to promote the Akt/mTORC1 signaling axis, a crucial pathway to malignant transformation. Keywords: ECM stiffness, ErbB2, breast cancer, insulin receptor, integrin, transgenic model, Akt, mTORC1

Tissues are mechanically complex composite structures in which an organized collection of cells in various configurations interwoven within a complex extracellular matrix maintain mechanical integrity and function. Cellular activity in response to these local mechanical properties can drive considerable changes in the tissues over time. Given the importance of tissue mechanics in maintaining tissue homeostasis and in progressing disease phenotypes, understanding the relationship between the local mechanical microenvironment and cell behavior is therefore crucial to predict tissue health. Specifically, measuring complex mechanics at length scales similar to those of a cell in realistic and living tissues presents considerable challenges. In this chapter, we discuss conventional and emerging techniques to measure tissue mechanics in the cellular microenvironment, with a specific focus on measurements to better understand cancer.

Ever since the seminal findings of Ramon y Cajal, dendritic and axonal morphology has been recognized as a defining feature of neuronal types. Yet our knowledge concerning the diversity of neuronal morphologies, in particular distal axonal projection patterns, is extremely limited. To systematically obtain single neuron full morphology on a brain-wide scale, we established a platform with five major components: sparse labeling, whole-brain imaging, reconstruction, registration, and classification. We achieved sparse, robust and consistent fluorescent labeling of a wide range of neuronal types by combining transgenic or viral Cre delivery with novel transgenic reporter lines. We acquired high-resolution whole-brain fluorescent images from a large set of sparsely labeled brains using fluorescence micro-optical sectioning tomography (fMOST). We developed a set of software tools for efficient large-volume image data processing, registration to the Allen Mouse Brain Common Coordinate Framework (CCF), and computer-assisted morphological reconstruction. We reconstructed and analyzed the complete morphologies of 1,708 neurons from the striatum, thalamus, cortex and claustrum. Finally, we classified these cells into multiple morphological and projection types and identified a set of region-specific organizational rules of long-range axonal projections at the single cell level. Specifically, different neuron types from different regions follow highly distinct rules in convergent or divergent projection, feedforward or feedback axon termination patterns, and between-cell homogeneity or heterogeneity. Major molecularly defined classes or types of neurons have correspondingly distinct morphological and projection patterns, however, we also identify further remarkably extensive morphological and projection diversity at more fine-grained levels within the major types that cannot presently be accounted for by preexisting transcriptomic subtypes. These insights reinforce the importance of full morphological characterization of brain cell types and suggest a plethora of ways different cell types and individual neurons may contribute to the function of their respective circuits.

An essential step toward understanding brain function is to establish a cellular-resolution structural framework upon which multi-scale and multi-modal information spanning molecules, cells, circuits and systems can be integrated and interpreted. Here, through a collaborative effort from the Brain Initiative Cell Census Network (BICCN), we derive a comprehensive cell type-based description of one brain structure - the primary motor cortex upper limb area (MOp-ul) of the mouse. Applying state-of-the-art labeling, imaging, computational, and neuroinformatics tools, we delineated the MOp-ul within the Mouse Brain 3D Common Coordinate Framework (CCF). We defined over two dozen MOp-ul projection neuron (PN) types by their anterograde targets; the spatial distribution of their somata defines 11 cortical sublayers, a significant refinement of the classic notion of cortical laminar organization. We further combine multiple complementary tracing methods (classic tract tracing, cell type-based anterograde, retrograde, and transsynaptic viral tracing, high-throughput BARseq, and complete single cell reconstruction) to systematically chart cell type-based MOp input-output streams. As PNs link distant brain regions at synapses as well as host cellular gene expression, our construction of a PN type resolution MOp-ul wiring diagram will facilitate an integrated analysis of motor control circuitry across the molecular, cellular, and systems levels. This work further provides a roadmap towards a cellular resolution description of mammalian brain architecture.

Dendritic and axonal morphology reflects the input and output of neurons and is a defining feature of neuronal types1,2, yet our knowledge of its diversity remains limited. Here, to systematically examine complete single-neuron morphologies on a brain-wide scale, we established a pipeline encompassing sparse labelling, whole-brain imaging, reconstruction, registration and analysis. We fully reconstructed 1,741 neurons from cortex, claustrum, thalamus, striatum and other brain regions in mice. We identified 11 major projection neuron types with distinct morphological features and corresponding transcriptomic identities. Extensive projectional diversity was found within each of these major types, on the basis of which some types were clustered into more refined subtypes. This diversity follows a set of generalizable principles that govern long-range axonal projections at different levels, including molecular correspondence, divergent or convergent projection, axon termination pattern, regional specificity, topography, and individual cell variability. Although clear concordance with transcriptomic profiles is evident at the level of major projection type, fine-grained morphological diversity often does not readily correlate with transcriptomic subtypes derived from unsupervised clustering, highlighting the need for single-cell cross-modality studies. Overall, our study demonstrates the crucial need for quantitative description of complete single-cell anatomy in cell-type classification, as single-cell morphological diversity reveals a plethora of ways in which different cell types and their individual members may contribute to the configuration and function of their respective circuits., Sparse labelling and whole-brain imaging are used to reconstruct and classify brain-wide complete morphologies of 1,741 individual neurons in the mouse brain, revealing a dependence on both brain region and transcriptomic profile.

Local tissue mechanics play a critical role in cell function, but measuring these properties at cellular length scales in living 3D tissues can present considerable challenges. Here we present thermoresponsive, smart material microgels that can be dispersed or injected into tissues and optically assayed to measure residual tissue elasticity after creep over several weeks. We first develop and characterize the sensors, and demonstrate that internal mechanical profiles of live multicellular spheroids can be mapped at high resolutions to reveal broad ranges of rigidity within the tissues, which vary with subtle differences in spheroid aggregation method. We then show that small sites of unexpectedly high rigidity develop in invasive breast cancer spheroids, and in an in vivo mouse model of breast cancer progression. These focal sites of increased intratumoral rigidity suggest new possibilities for how early mechanical cues that drive cancer cells towards invasion might arise within the evolving tumor microenvironment., Local mechanical properties are important to cellular function; but conventional measurement techniques are limited in intact, living, 3D tissues. Here, the authors report on swellable hydrogel microparticles to monitor mechanical properties in situ via a temperature change.

The neocortex is disproportionately expanded in human compared to mouse, both in its total volume relative to subcortical structures and in the proportion occupied by supragranular layers that selectively make connections within the cortex and other telencephalic structures. Single-cell transcriptomic analyses of human and mouse cortex show an increased diversity of glutamatergic neuron types in supragranular cortex in human and pronounced gradients as a function of cortical depth. To probe the functional and anatomical correlates of this transcriptomic diversity, we describe a robust Patch-seq platform using neurosurgically-resected human tissues. We characterize the morphological and physiological properties of five transcriptomically defined human glutamatergic supragranular neuron types. Three of these types have properties that are specialized compared to the more homogeneous properties of transcriptomically defined homologous mouse neuron types. The two remaining supragranular neuron types, located exclusively in deep layer 3, do not have clear mouse homologues in supragranular cortex but are transcriptionally most similar to deep layer mouse intratelencephalic-projecting neuron types. Furthermore, we reveal the transcriptomic types in deep layer 3 that express high levels of non-phosphorylated heavy chain neurofilament protein that label long-range neurons known to be selectively depleted in Alzheimer’s disease. Together, these results demonstrate the power of transcriptomic cell type classification, provide a mechanistic underpinning for increased complexity of cortical function in human cortical evolution, and implicate discrete transcriptomic cell types as selectively vulnerable in disease.

The syncytiotrophoblast is a multinucleated layer that plays a critical role in regulating functions of the human placenta during pregnancy. Maintaining the syncytiotrophoblast layer relies on ongoing fusion of mononuclear cytotrophoblasts throughout pregnancy, and errors in this fusion process are associated with complications such as preeclampsia. While biochemical factors are known to drive fusion, the role of disease-specific extracellular biophysical cues remains undefined. Since substrate mechanics play a crucial role in several diseases, and preeclampsia is associated with placental stiffening, we hypothesize that trophoblast fusion is mechanically regulated by substrate stiffness. We developed stiffness-tunable polyacrylamide substrate formulations that match the linear elasticity of placental tissue in normal and disease conditions, and evaluated trophoblast morphology, fusion, and function on these surfaces. Our results demonstrate that morphology, fusion, and hormone release is mechanically-regulated via myosin-II; optimal on substrates that match healthy placental tissue stiffness; and dysregulated on disease-like and supraphysiologically-stiff substrates. We further demonstrate that stiff regions in heterogeneous substrates provide dominant physical cues that inhibit fusion, suggesting that even focal tissue stiffening limits widespread trophoblast fusion and tissue function. These results confirm that mechanical microenvironmental cues influence fusion in the placenta, provide critical information needed to engineer better in vitro models for placental disease, and may ultimately be used to develop novel mechanically-mediated therapeutic strategies to resolve fusion-related disorders during pregnancy.

SUMMARYThe isocortex and hippocampal formation are two major structures in the mammalian brain that play critical roles in perception, cognition, emotion and learning. Both structures contain multiple regions, for many of which the cellular composition is still poorly understood. In this study, we used two complementary single-cell RNA-sequencing approaches, SMART-Seq and 10x, to profile ∼1.2 million cells covering all regions in the adult mouse isocortex and hippocampal formation, and derived a cell type taxonomy comprising 379 transcriptomic types. The completeness of coverage enabled us to define gene expression variations across the entire spatial landscape without significant gaps. We found that cell types are organized in a hierarchical manner and exhibit varying degrees of discrete or continuous relatedness with each other. Such molecular relationships correlate strongly with the spatial distribution patterns of the cell types, which can be region-specific, or shared across multiple regions, or part of one or more gradients along with other cell types. Glutamatergic neuron types have much greater diversity than GABAergic neuron types, both molecularly and spatially, and they define regional identities as well as inter-region relationships. For example, we found that glutamatergic cell types between the isocortex and hippocampal formation are highly distinct from each other yet possess shared molecular signatures and corresponding layer specificities, indicating their homologous relationships. Overall, our study establishes a molecular architecture of the mammalian isocortex and hippocampal formation for the first time, and begins to shed light on its underlying relationship with the development, evolution, connectivity and function of these two brain structures.

The isocortex and hippocampal formation are two major structures in the mammalian brain that play critical roles in perception, cognition, emotion and learning. Using single-cell RNA-sequencing approaches, we profiled ~1.2 million cells covering all regions in the adult mouse isocortex and hippocampal formation. The cell types are organized hierarchically and exhibit varying degrees of discrete or continuous variations. Such molecular relationships correlate strongly with the spatial distribution patterns of the cell types, which can be region-specific, shared across multiple regions, or part of one or more gradients. Glutamatergic neuron types display much greater diversity than GABAergic neuron types, both molecularly and spatially, and define regional identities as well as inter-region relationships. Our study establishes a molecular architecture of the mammalian isocortex and hippocampal formation for the first time, and begins to shed light on its underlying relationship with the development, evolution, connectivity and function of these two brain structures.

Local stiffness plays a critical role in cell function, but measuring rigidity at cellular length scales in living 3D tissues presents considerable challenges. Here we present thermoresponsive, smart material microgels that can be dispersed or injected into tissues and optically assayed to measure internal tissue stiffness over several weeks. We first develop the material design principles to measure tissue stiffness across physiological ranges, with spatial resolutions approaching that of individual cells. Using the microfabricated sensors, we demonstrate that mapping internal stiffness profiles of live multicellular spheroids at high resolutions reveal distinct architectural patterns, that vary with subtle differences in spheroid aggregation method. Finally, we determine that small sites of unexpectedly high stiffness (> 250 kPa) develop in invasive breast cancer spheroids, and inin vivomouse model tumors as the cancer progresses towards metastatic disease. These highly focal sites of increased intratumoral stiffness likely form via active cell mechanical behavior, and suggest new possibilities for how early mechanical cues that drive cancer cells towards invasion might arise within the evolving tumor microenvironment.

Dendritic and axonal morphology is a defining feature of neuronal types and their connectivity. Yet our knowledge concerning the diversity of neuronal morphology is extremely limited. To systematically obtain single neuron full morphology on a brain-wide scale in mice, we established a pipeline that encompasses five major components: sparse labeling, whole-brain imaging, reconstruction, registration, and classification. We achieved sparse, robust and consistent fluorescent labeling by combining transgenic or viral Cre delivery with novel transgenic reporter lines, and generated whole-brain fluorescent imaging datasets containing tens of thousands of reconstructable neurons. We developed software tools for large-volume image data processing and computer-assisted morphological reconstruction. For a proof-of-principle, we reconstructed the full morphologies of 96 neurons from the claustrum and cortex that belong to a single transcriptomically-defined subclass, and classified them into multiple morphological types, suggesting that they work in a targeted and coordinated manner to process cortical information over a large region.

The isocortex and hippocampal formation (HPF) in the mammalian brain play critical roles in perception, cognition, emotion, and learning. We profiled ∼1.3 million cells covering the entire adult mouse isocortex and HPF and derived a transcriptomic cell-type taxonomy revealing a comprehensive repertoire of glutamatergic and GABAergic neuron types. Contrary to the traditional view of HPF as having a simpler cellular organization, we discover a complete set of glutamatergic types in HPF homologous to all major subclasses found in the six-layered isocortex, suggesting that HPF and the isocortex share a common circuit organization. We also identify large-scale continuous and graded variations of cell types along isocortical depth, across the isocortical sheet, and in multiple dimensions in hippocampus and subiculum. Overall, our study establishes a molecular architecture of the mammalian isocortex and hippocampal formation and begins to shed light on its underlying relationship with the development, evolution, connectivity, and function of these two brain structures.

Multicellular aggregated tissues have grown critically important in benchtop biomedical research, both as stand-alone spheroids and when assembled into larger bioengineered constructs. However, typical systems for aggregate formation are limited in their capacity to reliably handle such cultures at various experimental stages in a broadly accessible, consistent, and scalable manner. In this work, we develop a broadly versatile all-in-one biofabrication strategy to form uniform, spherical, multicellular aggregates that can be maintained at precisely defined positions for analysis or transfer into a larger tissue. The 3D-printed MicroPocket Culture (MPoC) system consists of an array of simple geometry-based valves in a polyacrylamide hydrogel, and is able to produce hundreds of uniformly-sized aggregates in standard tissue culture well plates, using simple tools that are readily available in all standard biological wet-labs. The model breast cancer aggregates formed in these experiments are retained in defined positions on chip during all liquid handling steps required to stimulate, label, and image the experiment, enabling high-throughput studies on this culture model. Furthermore, MPoCs enable robust formation of aggregates in cell types that do not conventionally form such structures. Finally, we demonstrate that this single platform can also be used to generate complex 3D tissues from the precisely-positioned aggregate building blocks. To highlight the unique and broad versatility of this technique, we develop a simple 3D invasion assay and show that cancer cells preferentially migrate towards nearby model tumors; demonstrating the importance of spatial precision when engineering 3D tissues. Together, this platform presents a broadly accessible and uniquely capable system with which to develop advanced aggregate-based models for tissue engineering, fundamental research, and applied drug discovery.

The field of mechanobiology provides an integrative understanding of biology and engineering principles. Mechanical forces are now well-established to provide a physical stimulus to help maintain normal tissue function, yet little is understood as to how forces experienced at various length scales influence cell behaviour and tissue function. In this Research Highlight, we describe recent technical innovations that have enabled advanced insight into the cellular microenvironment across a range of length scales.

Metastatic brain tumors are the most common brain tumor in adults with an incidence 10 times greater than primary brain tumors. A variety of malignancies eventually spread to the brain, with a majority arising from cancers of the lung, breast, kidney, and skin. Experimental studies using breast and melanoma cell lines have recently shown that growth of metastatic brain tumors may occur by utilizing pre-existing blood vessel, or by co-opting rather than inducing new vessel formation. Whether the same mechanisms of vascular utilization and expansion play a role in human metastatic brain tumors is unknown and is the focus of the present study. We examined the immuno-phenotype of blood vessels in primary and metastatic human brain tumors to determine the presence of new blood vessels formation. Glioblastoma multiforme (n = 12) and secondary tumors from melanoma (n = 10), breast (n = 10), kidney (n = 5), and lung (n = 13) all showed extensive immunoreactivity for endothelial marker CD31. We also found a significant number of endothelial cells expressing Ki-67, most notably among breast carcinoma, glioblastoma multiforme and melanoma cases, indicating microvessel proliferation and angiogenesis. Interestingly, both primary and secondary metastatic tumors also showed vascular endothelial cells concomitantly expressing stem cell markers, such as Oct4, suggesting that some of these microvessels are derived through vasculogenesis. These findings show that both proliferation of endothelial cells and de novo endothelial differentiation may underlie metastatic tumor growth to different degrees depending on their site of primary origin. Currently, our laboratory is determining the exact contribution of angiogenesis and vasculogenesis in brain metastasis. Our findings show that neo-vessels are evident in brain metastasis. Elucidating the source of these vessels may uncover new treatment targets for patients with brain metastasis. Citation Format: Stephanie Mok, Lee-Cyn Ang, Christopher J. Howlett, Zia A. Khan. Neovascularization in brain metastasis is through both angiogenesis and vasculogenesis. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 5208. doi:10.1158/1538-7445.AM2015-5208

Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are malignant epithelial cancer arising from the diffuse neuroendocrine system. Diagnosis is usually made late in the disease course, with 60-80% of diagnosed cases presenting with, or developing metastatic disease. The lack of biomarkers indicative of aggressive behavior, in particular metastasis, hinders prognosis and proper treatment of GEP-NETs. A cellular process underlying the aggressive behavior of cancer is epithelial to mesenchymal transition (EMT). In this study, we aimed to determine whether EMT is involved in the pathogenesis of NETs. Using tissue samples from NETs arising from small intestine (SI-NET), pancreas (P-NETs), and colorectum (C-NETs), we have examined EMT and profiled the signaling mechanisms involved. Initial studies utilizing targeted real-time PCR-based gene profiling comparing primary (n = 9) and metastatic (n = 4) SI-NETs relative to control (normal small bowel epithelium, n = 3) revealed gene expression profiles suggestive of EMT and cell guidance in both primary and metastatic tumors, including elevation of vascular endothelial growth factor signaling, changes in matrix remodeling genes, and abundant transforming growth factor-β (TGF-β) receptor 1. A more comprehensive examination of the EMT phenotype was then undertaken based on primary site of origin. RNA samples from P-NETs (n = 9), SI-NETs (n = 8), and C-NETs (n = 8) were used for gene expression studies utilizing an EMT-focused PCR array. Changes in gene expression profiles consistent with an EMT phenotype were seen across all primary sites, including elevated expression of transcription factors SMAD2, ZEB1/2, HIF-1α. Differential expression of TGF-β family receptor ligands, including TGF-β1 and BMP2, was observed when comparing results from NETs of different primary sites, suggesting alternate signaling pathways leading to EMT. Confirmatory immunohistochemistry studies were then carried out, demonstrating an EMT phenotype as evidenced by loss of E-cadherin/β-catenin expression and/or vimentin induction in 42% of cases (n = 52). Well-differentiated GEP-NETs, while morphologically similar, are extremely heterogeneous in both clinical presentation and outcome. We have examined a series of 52 GEP-NETs, of which 77% either presented with, or eventually developed metastatic disease. EMT is likely a key process by which this occurs, as we observe expression changes in EMT-associated genes across all subtypes of GEP-NETs, and an EMT phenotype by immunohistochemistry in 42% of the tumors. Our gene expression studies suggest that differential TGF-β family signaling is a key mediator in driving EMT, however, the specific pathway may involve different factors depending on the site of NET origin. Future studies are needed to elucidate the exact pathways involved in this process. Citation Format: Stephanie Mok, Zia A. Khan, Douglas Quan, Christopher J. Howlett. Epithelial to mesenchymal transition in the metastatic progression of gastroenteropancreatic neuroendocrine tumors. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4087. doi:10.1158/1538-7445.AM2015-4087