A Review of Genetic Abnormalities in Unicentric and Multicentric Castleman Disease.

Castleman disease (CD) is a rare lymphoproliferative disorder known to represent at least four distinct clinicopathologic subtypes. Large advancements in our clinical and histopathologic description of these diverse diseases have been made, resulting in subtyping based on number of enlarged lymph nodes (unicentric versus multicentric), according to viral infection by human herpes virus 8 (HHV-8) and human immunodeficiency virus (HIV), and with relation to clonal plasma cells (POEMS). In recent years, significant molecular and genetic abnormalities associated with CD have been described. However, we continue to lack a foundational understanding of the biological mechanisms driving this disease process. Here, we review all cases of CD with molecular abnormalities described in the literature to date, and correlate cytogenetic, molecular, and genetic abnormalities with disease subtypes and phenotypes. Our review notes complex karyotypes in subsets of cases, specific mutations in PDGFRB N666S in 10% of unicentric CD (UCD) and NCOA4 L261F in 23% of idiopathic multicentric CD (iMCD) cases. Genes affecting chromatin organization and abnormalities in methylation are seen more commonly in iMCD while abnormalities within the mitogen-activated protein kinase (MAPK) and interleukin signaling pathways are more frequent in UCD. Interestingly, there is a paucity of genetic studies evaluating HHV-8 positive multicentric CD (HHV-8+ MCD) and POEMS-associated CD. Our comprehensive review of genetic and molecular abnormalities in CD identifies subtype-specific and novel pathways which may allow for more targeted treatment options and unique biologic therapies.

Measurement of cell volume using in-line digital holography.

The measurement of the volume of blood cells is important for clinical diagnosis and patient management. While digital holography microscopy has been used to obtain such information, previous off-axis setups usually involve a separated reference beam and are thus not very easy to implement. Here, we use the simple in-line Gabor setup without separation of a reference beam to measure the shape and volume of cells mounted on glass slides. Inherent to the in-line holograms, the reconstructed phase of the object is affected by the virtual image noise, producing errors in the cell volume measurement. We optimized our approach to use a single hologram without phase retrieval, increasing distance between cell and hologram plane to reduce the measurement error of cell volume to less than 6% in some instances. Therefore, the in-line Gabor setup can be a useful and simple tool to obtain volumetric and morphologic cellular information.

Mutations in JAK/STAT and NOTCH1 Genes Are Enriched in Post-Transplant Lymphoproliferative Disorders.

Post-transplant lymphoproliferative disorders (PTLD) are diseases occurring in immunocompromised patients after hematopoietic stem cell transplantation (HCT) or solid organ transplantation (SOT). Although PTLD occurs rarely, it may be associated with poor outcomes. In most cases, PTLD is driven by Epstein-Barr virus (EBV) infection. Few studies have investigated the mutational landscape and gene expression profile of PTLD. In our study, we performed targeted deep sequencing and RNA-sequencing (RNA-Seq) on 16 cases of florid follicular hyperplasia (FFH) type PTLD and 15 cases of other PTLD types that include: ten monomorphic (M-PTLD), three polymorphic (P-PTLD), and two classic Hodgkin lymphoma type PTLDs (CHL-PTLD). Our study identified recurrent mutations in JAK3 in five of 15 PTLD cases and one of 16 FFH-PTLD cases, as well as 16 other genes that were mutated in M-PTLD, P-PTLD, CHL-PTLD and FFH-PTLD. Digital image analysis demonstrated significant differences in single cell area, major axis, and diameter when comparing cases of M-PTLD and P-PTLD to FFH-PTLD. No morphometric relationship was identified with regards to a specific genetic mutation. Our findings suggest that immune regulatory pathways play an essential role in PTLD, with the JAK/STAT pathway affected in many PTLDs.

A comprehensive analysis of RHOA mutation positive and negative angioimmunoblastic T-cell lymphomas by targeted deep sequencing, expression profiling and single cell digital image analysis.

Angioimmunoblastic T­cell lymphoma (AITL) is a uniquely aggressive mature T­cell neoplasm. In recent years, recurrent genetic mutations in ras homolog family member A (RHOA), tet methylcytosine dioxygenase 2 (TET2), DNA methyltransferase 3 alpha (DNMT3A) and isocitrate dehydrogenase [NADP(+)] 2 (IDH2) have been identified as associated with AITL. However, a deep molecular study assessing both DNA mutations and RNA expression profile combined with digital image analysis is lacking. The present study aimed to evaluate the significance of molecular and morphologic features by high resolution digital image analysis in several cases of AITL. To do so, a total of 18 separate tissues from 10 patients with AITL were collected and analyzed. The results identified recurrent mutations in RHOA, TET2, DNMT3A, and IDH2, and demonstrated increased DNA mutations in coding, promoter and CCCTC binding factor (CTCF) binding sites in RHOA mutated AITLs vs. RHOA non­mutated cases, as well as increased overall survival in RHOA mutated patients. In addition, single cell computational digital image analysis morphologically characterized RHOA mutated AITL cells as distinct from cells from RHOA mutation negative patients. Computational analysis of single cell morphological parameters revealed that RHOA mutated cells have decreased eccentricity (more circular) compared with RHOA non­mutated AITL cells. In conclusion, the results from the present study expand our understanding of AITL and demonstrate that there are specific cell biological and morphological manifestations of RHOA mutations in cases of AITL.

Artificial Intelligence in Pathology: A Simple and Practical Guide.

Artificial intelligence (AI) is having an increasing impact on the field of pathology, as computation techniques allow computers to perform tasks previously performed by people. Here, we offer a simple and practical guide to AI methods used in pathology, such as digital image analysis, next-generation sequencing, and natural language processing. We not only provide a comprehensive review, but also discuss relevant history and future directions of AI in pathology. We additionally provide a short tabular dictionary of AI terminology which will help practicing pathologists and researchers to understand this field.

Significance of bacterial and viral genotypes as a risk factor in driving cancer (Review).

Microbes have been known to drive human cancers for over half a century. However, despite the association of bacterial and viral infections with a high risk of cancer, most infections do not result in the development of cancer. Additionally, certain bacteria and viruses, considered to drive oncogenesis, are commonly prevalent in the global population. The current study performed a comprehensive meta-analysis of primary literature data to identify particular aspects of microbial genotypes as crucial factors that dictate the cancer risks associated with infection. The results indicated the importance of incorporating microbial genotype information with human genotypes into clinical assays for the more efficient diagnosis and prognosis of patients with cancer. The current review focuses on the importance of microbial genotypes and specific genes and genetic differences that are important to human oncogenesis.

TBL1XR1 Mutations in Primary Marginal Zone Lymphomas of Ocular Adnexa are Associated with Unique Morphometric Phenotypes.

PURPOSE: Extranodal marginal zone B-cell lymphoma (EMZL) of mucosa-associated lymphoid tissue (MALT) that affects the ocular adnexa, also known as ocular adnexal MALT lymphomas (OAML), are low-grade lymphomas that mostly affect elderly individuals. This study was conducted to explore the genetic and microbial drivers of OMAL, and unique morphometric phenotypes associated with these mutations and infections. MATERIALS AND METHODS: In this study, we performed targeted deep sequencing of 8 OAML cases to identify its potential genetic and microbial drivers. We additionally performed computational digital image analysis of cases to determine if morphologic features corresponded to genetic mutations and disease biology. RESULTS: We identified TBL1XR1 as recurrently mutated in OAML (4/8), and mutations in several other oncogenes, tumor suppressors, transcription regulators, and chromatin remodeling genes. Morphologically, OAML cases with mutations in TBL1XR1 showed lymphoma cells with significantly lower circularity and solidity by computational digital image analysis (p-value <0.0001). Additionally, cases of OAML with mutations in TBL1XR1 showed equivalent or increased vascular density compared to cases without mutations in TBL1XR1. Finally, we did not find any infectious microbial organisms associated with OAML. CONCLUSIONS: Our study showed recurrent mutations in TBL1XR1 are associated with unique morphometric phenotypes in OMAL cases. Additionally, mutations in genes associated with the methylation status of histone 3, nuclear factor (NF)-κB pathway, and NOTCH pathway were enriched in OMAL cases. Our findings have biologic and clinical implications as mutations in TBL1XR1 and other genes have the potential to be used as markers for the diagnosis of OAML, and also demonstrate a specific biologic phenotypic manifestation of TBL1XR1 mutations.

Total Microfluidic chip for Multiplexed diagnostics (ToMMx).

Microfluidic technologies offer new platforms for biosensing in various clinical and point-of-care (POC) applications. Currently, at the clinical settings, the gold standard diagnostic platforms for multiplexed sensing are multi-step, time consuming, requiring expensive and bulky instruments with a constant need of electricity which makes them unsuitable for resource-limited or POC settings. These technologies are often limited by logistics, costly assays and regular maintenance. Although there have been several attempts to miniaturize these diagnostic platforms, they stand short of batch fabrication and they are dependent on complementary components such as syringe pumps. Here, we demonstrated the development and clinical testing of a disposable, multiplexed sensing device (ToMMx), which is a portable, high-throughput and user-friendly microfluidic platform. It was built with inexpensive plastic materials and operated manually without requiring electrical power and extensive training. We validated this platform in a small cohort of 50 clinical samples from patients with cardiovascular diseases and healthy controls. The platform is rapid and gives quantifiable results with high sensitivity, as low as 5.29 pg/mL, from only a small sample volume (4 µL). ToMMx platform was compared side-by-side with commercial ELISA kits where the total assay time is reduced 15-fold, from 5 h to 20 min. This technology platform is broadly applicable to various diseases with well-known biomarkers in diagnostics and monitoring, especially with potential future impact at the POC settings.

Molecular genetic testing methodologies in hematopoietic diseases: current and future methods.

INTRODUCTION: Rapid technological advancements in clinical molecular genetics have increased our diagnostic and prognostic capabilities in health care. Understanding these assays, as well as how they may change over time, is critical for pathologists, clinicians, and translational researchers alike. METHODS: This review provides a practical summary and basic reference for current molecular genetic technologies, as well as new testing methodologies that are in use, gaining momentum, or anticipated to contribute more broadly in the future. RESULTS: Here, we discuss DNA and RNA based methodologies including classic assays such as the polymerase chain reaction (PCR), Sanger sequencing, and microarrays, to more cutting-edge next-generation sequencing (NGS) based assays and emerging molecular technologies such as cell-free DNA (cfDNA) or circulating tumor DNA (ctDNA), and NGS-based detection of infectious disease organisms. CONCLUSION: This review serves as a basic foundation for knowledge in current and emerging clinical molecular genetic technologies.

3-D geometry and irregular connectivity dictate neuronal firing in frequency domain and synchronization.

The replication of the complex structure and three dimensional (3-D) interconnectivity of neurons in the brain is a great challenge. A few 3-D neuronal patterning approaches have been developed to mimic the cell distribution in the brain but none have demonstrated the relationship between 3-D neuron patterning and network connectivity. Here, we used photolithographic crosslinking to fabricate in vitro 3-D neuronal structures with distinct sizes, shapes or interconnectivities, i.e., milli-blocks, micro-stripes, separated micro-blocks and connected micro-blocks, which have spatial confinement from "Z" dimension to "XYZ" dimension. During a 4-week culture period, the 3-D neuronal system has shown high cell viability, axonal, dendritic, synaptic growth and neural network activity of cortical neurons. We further studied the calcium oscillation of neurons in different 3-D patterns and used signal processing both in Fast Fourier Transform (FFT) and time domain (TD) to model the fluorescent signal variation. We observed that the firing frequency decreased as the spatial confinement in 3-D system increased. Besides, the neuronal synchronization significantly decreased by irregularly connecting micro-blocks, indicating that network connectivity can be adjusted by changing the linking conditions of 3-D gels. Earlier works showed the importance of 3-D culture over 2-D in terms of cell growth. Here, we showed that not only 3-D geometry over 2-D culture matters, but also the spatial organization of cells in 3-D dictates the neuronal firing frequency and synchronicity.

Magnetically Guided Self-Assembly and Coding of 3D Living Architectures.

In nature, cells self-assemble at the microscale into complex functional configurations. This mechanism is increasingly exploited to assemble biofidelic biological systems in vitro. However, precise coding of 3D multicellular living materials is challenging due to their architectural complexity and spatiotemporal heterogeneity. Therefore, there is an unmet need for an effective assembly method with deterministic control on the biomanufacturing of functional living systems, which can be used to model physiological and pathological behavior. Here, a universal system is presented for 3D assembly and coding of cells into complex living architectures. In this system, a gadolinium-based nonionic paramagnetic agent is used in conjunction with magnetic fields to levitate and assemble cells. Thus, living materials are fabricated with controlled geometry and organization and imaged in situ in real time, preserving viability and functional properties. The developed method provides an innovative direction to monitor and guide the reconfigurability of living materials temporally and spatially in 3D, which can enable the study of transient biological mechanisms. This platform offers broad applications in numerous fields, such as 3D bioprinting and bottom-up tissue engineering, as well as drug discovery, developmental biology, neuroscience, and cancer research.

The Exosome Total Isolation Chip.

Circulating tumor-derived extracellular vesicles (EVs) have emerged as a promising source for identifying cancer biomarkers for early cancer detection. However, the clinical utility of EVs has thus far been limited by the fact that most EV isolation methods are tedious, nonstandardized, and require bulky instrumentation such as ultracentrifugation (UC). Here, we report a size-based EV isolation tool called ExoTIC (exosome total isolation chip), which is simple, easy-to-use, modular, and facilitates high-yield and high-purity EV isolation from biofluids. ExoTIC achieves an EV yield ∼4-1000-fold higher than that with UC, and EV-derived protein and microRNA levels are well-correlated between the two methods. Moreover, we demonstrate that ExoTIC is a modular platform that can sort a heterogeneous population of cancer cell line EVs based on size. Further, we utilize ExoTIC to isolate EVs from cancer patient clinical samples, including plasma, urine, and lavage, demonstrating the device's broad applicability to cancers and other diseases. Finally, the ability of ExoTIC to efficiently isolate EVs from small sample volumes opens up avenues for preclinical studies in small animal tumor models and for point-of-care EV-based clinical testing from fingerprick quantities (10-100 µL) of blood.

Magnetic levitation of single cells.

Several cellular events cause permanent or transient changes in inherent magnetic and density properties of cells. Characterizing these changes in cell populations is crucial to understand cellular heterogeneity in cancer, immune response, infectious diseases, drug resistance, and evolution. Although magnetic levitation has previously been used for macroscale objects, its use in life sciences has been hindered by the inability to levitate microscale objects and by the toxicity of metal salts previously applied for levitation. Here, we use magnetic levitation principles for biological characterization and monitoring of cells and cellular events. We demonstrate that each cell type (i.e., cancer, blood, bacteria, and yeast) has a characteristic levitation profile, which we distinguish at an unprecedented resolution of 1 × 10(-4) g ⋅ mL(-1). We have identified unique differences in levitation and density blueprints between breast, esophageal, colorectal, and nonsmall cell lung cancer cell lines, as well as heterogeneity within these seemingly homogenous cell populations. Furthermore, we demonstrate that changes in cellular density and levitation profiles can be monitored in real time at single-cell resolution, allowing quantification of heterogeneous temporal responses of each cell to environmental stressors. These data establish density as a powerful biomarker for investigating living systems and their responses. Thereby, our method enables rapid, density-based imaging and profiling of single cells with intriguing applications, such as label-free identification and monitoring of heterogeneous biological changes under various physiological conditions, including antibiotic or cancer treatment in personalized medicine.

Portable microfluidic integrated plasmonic platform for pathogen detection.

Timely detection of infectious agents is critical in early diagnosis and treatment of infectious diseases. Conventional pathogen detection methods, such as enzyme linked immunosorbent assay (ELISA), culturing or polymerase chain reaction (PCR) require long assay times, and complex and expensive instruments, which are not adaptable to point-of-care (POC) needs at resource-constrained as well as primary care settings. Therefore, there is an unmet need to develop simple, rapid, and accurate methods for detection of pathogens at the POC. Here, we present a portable, multiplex, inexpensive microfluidic-integrated surface plasmon resonance (SPR) platform that detects and quantifies bacteria, i.e., Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus) rapidly. The platform presented reliable capture and detection of E. coli at concentrations ranging from ~10(5) to 3.2 × 10(7) CFUs/mL in phosphate buffered saline (PBS) and peritoneal dialysis (PD) fluid. The multiplexing and specificity capability of the platform was also tested with S. aureus samples. The presented platform technology could potentially be applicable to capture and detect other pathogens at the POC and primary care settings.