Clinical Trial Protocol for "Replace Cysto": Replacing Invasive Cystoscopy with Urine Testing for Non-muscle-invasive Bladder Cancer Surveillance-A Multicenter, Randomized, Phase 2 Healthcare Delivery Trial Comparing Quality of Life During Cancer Surveillance with Xpert Bladder Cancer Monitor or Bladder EpiCheck Urine Testing Versus Frequent Cystoscopy

"Replace Cysto" is a multisite randomized phase 2 trial including 240 participants with low-grade intermediate-risk non-muscle-invasive bladder cancer, in which participants will be randomized 1:1:1 to one of two urine marker-based approaches alternating a urine marker test (Xpert Bladder Cancer Monitor or Bladder EpiCheck) with cystoscopy or to frequent scheduled cystoscopy. The primary objective is to determine whether urinary quality of life after surveillance is significantly improved in the urine marker arms. The primary outcome will be the patient-reported urinary quality of life domain score of the validated QLQ-NMIBC24 instrument, measured 1-3 d after surveillance. Exploratory outcomes include discomfort after surveillance, the number of invasive procedures that participants undergo per 1000 person years, complications from these procedures per 1000 person years, nonurinary quality of life, acceptability of surveillance, and bladder cancer recurrence and progression. Comparators include surveillance using (1) the Xpert Bladder Cancer Monitor test, (2) the Bladder EpiCheck urinary marker, or (3) frequent cystoscopy alone. After a negative cystoscopy ≤4 mo following bladder tumor resection, all the participants will undergo surveillance at 6, 12, 18, and 24 mo (with time zero defined as the date of the most recent bladder tumor resection). In the urine marker arms, surveillance at 6 and 18 mo will be performed with the marker. Regardless of the arm, participants will undergo cystoscopy at 12 and 24 mo. End of study for each participant will be their 24-mo cystoscopy. Overall trial duration is estimated at 5 yr from when the study opens to enrollment until completion of data analyses. The trial is registered at clinicaltrials.gov (NCT05796375).

Providing Diagnostic Pathology Services in Low and Middle-Income Countries

Diagnostic pathology services in low and middle-income countries are often hindered by lack of expertise, equipment, and reagents. However, there are also educational, cultural, and political decisions, which must be addressed in order to provide these services successfully. In this review, we describe some of the infrastructure barriers that must be overcome and provide 3 examples of implementing molecular testing in Rwanda and Honduras despite initial lack of resources.

Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining

The advent of spatial transcriptomics technologies has heralded a renaissance in research to advance our understanding of the spatial cellular and transcriptional heterogeneity within tissues. Spatial transcriptomics allows investigation of the interplay between cells, molecular pathways, and the surrounding tissue architecture and can help elucidate developmental trajectories, disease pathogenesis, and various niches in the tumor microenvironment. Photoaging is the histological and molecular skin damage resulting from chronic/acute sun exposure and is a major risk factor for skin cancer. Spatial transcriptomics technologies hold promise for improving the reliability of evaluating photoaging and developing new therapeutics. Challenges to current methods include limited focus on dermal elastosis variations and reliance on self-reported measures, which can introduce subjectivity and inconsistency. Spatial transcriptomics offers an opportunity to assess photoaging objectively and reproducibly in studies of carcinogenesis and discern the effectiveness of therapies that intervene in photoaging and preventing cancer. Evaluation of distinct histological architectures using highly-multiplexed spatial technologies can identify specific cell lineages that have been understudied due to their location beyond the depth of UV penetration. However, the cost and interpatient variability using state-of-the-art assays such as the 10x Genomics Spatial Transcriptomics assays limits the scope and scale of large-scale molecular epidemiologic studies. Here, we investigate the inference of spatial transcriptomics information from routine hematoxylin and eosin-stained (H&E) tissue slides. We employed the Visium CytAssist spatial transcriptomics assay to analyze over 18,000 genes at a 50-micron resolution for four patients from a cohort of 261 skin specimens collected adjacent to surgical resection sites for basal cell and squamous cell keratinocyte tumors. The spatial transcriptomics data was co-registered with 40x resolution whole slide imaging (WSI) information. We developed machine learning models that achieved a macro-averaged median AUC and F1 score of 0.80 and 0.61 and Spearman coefficient of 0.60 in inferring transcriptomic profiles across the slides, and accurately captured biological pathways across various tissue architectures.

Utility of Retrospective Molecular Analysis in Diagnostically Challenging Mesenchymal Neoplasms

Introduction: Molecular analysis plays a growing role in the diagnosis of mesenchymal neoplasms. The aim of this study was to retrospectively apply broad, multiplex molecular assays (a solid tumor targeted next-generation sequencing [NGS]) assay and single nucleotide polymorphism [SNP] microarray) to selected tumors, exploring the current utility and limitations. Methods: We searched our database (2010-2020) for diagnostically challenging mesenchymal neoplasms. After histologic review of available slides, tissue blocks were selected for NGS, SNP microarray, or both. DNA and RNA were extracted using the AllPrep DNA/RNA FFPE Kit Protocol on the QIAcube instrument. The NGS platform used was the TruSight Tumor 170 (TST-170). For SNP array, copy number variant (CNV) analysis was performed using the OncoScanTM CNV Plus Assay. Results: DNA/RNA was successfully extracted from 50% of tumors (n = 10/20). Specimens not successfully extracted included 6 core biopsies, 3 incisional biopsies, and 1 resection; 4 were decalcified (3 hydrochloric acid, 1 ethylenediaminetetraacetic acid). Higher tumor proportion and number of tumor cells were parameters positively associated with sufficient DNA/RNA extraction whereas necrosis and decalcification were negatively associated with sufficient extraction. Molecular testing helped reach a definitive diagnosis in 50% of tumors (n = 5/10). Conclusions: Although the overall utility of this approach is limited, these molecular panels can be helpful in detecting a specific "driver" alteration.

A rapid, multiplex digital PCR assay to detect gene variants and fusions in non-small cell lung cancer

Digital PCR (dPCR) is emerging as an ideal platform for the detection and tracking of genomic variants in cancer due to its high sensitivity and simple workflow. The growing number of clinically actionable cancer biomarkers creates a need for fast, accessible methods that allow for dense information content and high accuracy. Here, we describe a proof-of-concept amplitude modulation-based multiplex dPCR assay capable of detecting 12 single-nucleotide and insertion/deletion (indel) variants in EGFR, KRAS, BRAF, and ERBB2, 14 gene fusions in ALK, RET, ROS1, and NTRK1, and MET exon 14 skipping present in non-small cell lung cancer (NSCLC). We also demonstrate the use of multi-spectral target-signal encoding to improve the specificity of variant detection by reducing background noise by up to an order of magnitude. The assay reported an overall 100% positive percent agreement (PPA) and 98.5% negative percent agreement (NPA) compared with a sequencing-based assay in a cohort of 62 human formalin-fixed paraffin-embedded (FFPE) samples. In addition, the dPCR assay rescued actionable information in 10 samples that failed to sequence, highlighting the utility of a multiplexed dPCR assay as a potential reflex solution for challenging NSCLC samples.

Feasibility of Inferring Spatial Transcriptomics from Single-Cell Histological Patterns for Studying Colon Cancer Tumor Heterogeneity

Background

Spatial transcriptomics involves studying the spatial organization of gene expression within tissues, offering insights into the molecular diversity of tumors. While spatial gene expression is commonly amalgamated from 1-10 cells across 50-micron spots, recent methods have demonstrated the capability to disaggregate this information at subspot resolution by leveraging both expression and histological patterns. However, elucidating such information from histology alone presents a significant challenge but if solved can better permit spatial molecular analysis at cellular resolution for instances where Visium data is not available, reducing study costs. This study explores integrating single-cell histological and transcriptomic data to infer spatial mRNA expression patterns in whole slide images collected from a cohort of stage pT3 colorectal cancer patients. A cell graph neural network algorithm was developed to align histological information extracted from detected cells with single cell RNA patterns through optimal transport methods, facilitating the analysis of cellular groupings and gene relationships. This approach leveraged spot-level expression as an intermediary to co-map histological and transcriptomic information at the single-cell level.

Results

Our study demonstrated that single-cell transcriptional heterogeneity within a spot could be predicted from histological markers extracted from cells detected within a spot. Furthermore, our model exhibited proficiency in delineating overarching gene expression patterns across whole-slide images. This approach compared favorably to traditional patch-based computer vision methods as well as other methods which did not incorporate single cell expression during the model fitting procedures. Topological nuances of single-cell expression within a Visium spot were preserved using the developed methodology.

Conclusion

This innovative approach augments the resolution of spatial molecular assays utilizing histology as a sole input through synergistic co-mapping of histological and transcriptomic datasets at the single-cell level, anchored by spatial transcriptomics. While initial results are promising, they warrant rigorous validation. This includes collaborating with pathologists for precise spatial identification of distinct cell types and utilizing sophisticated assays, such as Xenium, to attain deeper subcellular insights.

The Overlooked Role of Specimen Preparation in Bolstering Deep Learning-Enhanced Spatial Transcriptomics Workflows

The application of deep learning methods to spatial transcriptomics has shown promise in unraveling the complex relationships between gene expression patterns and tissue architecture as they pertain to various pathological conditions. Deep learning methods that can infer gene expression patterns directly from tissue histomorphology can expand the capability to discern spatial molecular markers within tissue slides. However, current methods utilizing these techniques are plagued by substantial variability in tissue preparation and characteristics, which can hinder the broader adoption of these tools. Furthermore, training deep learning models using spatial transcriptomics on small study cohorts remains a costly endeavor. Necessitating novel tissue preparation processes enhance assay reliability, resolution, and scalability. This study investigated the impact of an enhanced specimen processing workflow for facilitating a deep learning-based spatial transcriptomics assessment. The enhanced workflow leveraged the flexibility of the Visium CytAssist assay to permit automated H&E staining (e.g., Leica Bond) of tissue slides, whole-slide imaging at 40x-resolution, and multiplexing of tissue sections from multiple patients within individual capture areas for spatial transcriptomics profiling. Using a cohort of thirteen pT3 stage colorectal cancer (CRC) patients, we compared the efficacy of deep learning models trained on slide prepared using an enhanced workflow as compared to the traditional workflow which leverages manual tissue staining and standard imaging of tissue slides. Leveraging Inceptionv3 neural networks, we aimed to predict gene expression patterns across matched serial tissue sections, each stemming from a distinct workflow but aligned based on persistent histological structures. Findings indicate that the enhanced workflow considerably outperformed the traditional spatial transcriptomics workflow. Gene expression profiles predicted from enhanced tissue slides also yielded expression patterns more topologically consistent with the ground truth. This led to enhanced statistical precision in pinpointing biomarkers associated with distinct spatial structures. These insights can potentially elevate diagnostic and prognostic biomarker detection by broadening the range of spatial molecular markers linked to metastasis and recurrence. Future endeavors will further explore these findings to enrich our comprehension of various diseases and uncover molecular pathways with greater nuance. Combining deep learning with spatial transcriptomics provides a compelling avenue to enrich our understanding of tumor biology and improve clinical outcomes. For results of the highest fidelity, however, effective specimen processing is crucial, and fostering collaboration between histotechnicians, pathologists, and genomics specialists is essential to herald this new era in spatial transcriptomics-driven cancer research.

A Novel Method to Detect Copy Number Variation in Melanoma: Droplet Digital PCR for Quantitation of the CDKN2A Gene, a Proof-of-Concept Study

ABSTRACT

A definitive diagnosis of nevus or melanoma is not always possible for histologically ambiguous melanocytic neoplasms. In such cases, ancillary molecular testing can support a diagnosis of melanoma if certain chromosomal aberrations are detected. Current technologies for copy number variation (CNV) detection include chromosomal microarray analysis (CMA) and fluorescence in situ hybridization. Although CMA and fluorescence in situ hybridization are effective, their utilization can be limited by cost, turnaround time, and inaccessibility outside of large reference laboratories. Droplet digital polymerase chain reaction (ddPCR) is a rapid, automated, and relatively inexpensive technology for CNV detection. We investigated the ability of ddPCR to quantify CNV in cyclin-dependent kinase inhibitor 2A ( CDKN2A ), the most commonly deleted tumor suppressor gene in melanoma. CMA data were used as the gold standard. We analyzed 57 skin samples from 52 patients diagnosed with benign nevi, borderline lesions, primary melanomas, and metastatic melanomas. In a training cohort comprising 29 randomly selected samples, receiver operator characteristic curve analysis revealed an optimal ddPCR cutoff value of 1.73 for calling CDKN2A loss. In a validation cohort comprising the remaining 28 samples, ddPCR detected CDKN2A loss with a sensitivity and specificity of 94% and 90%, respectively. Significantly, ddPCR could also identify whether CDKN2A losses were monoallelic or biallelic. These pilot data suggest that ddPCR can detect CDKN2A deletions in melanocytic tumors with accuracy comparable with CMA. With further validation, ddPCR could provide an additional CNV assay to aid in the diagnosis of challenging melanocytic neoplasms.

Validation of a Droplet Digital PCR (ddPCR) Assay to Detect Cyanobacterial 16S rDNA in Human Lung Tissue

Cyanobacteria produce a variety of secondary metabolites, including toxins that may contribute to the development of disease. Previous work was able to detect the presence of a cyanobacterial marker in human nasal and broncoalveolar lavage samples; however, it was not able to determine the quantification of the marker. To further research the relationship between cyanobacteria and human health, we validated a droplet digital polymerase chain reaction (ddPCR) assay to simultaneously detect the cyanobacterial 16S marker and a human housekeeping gene in human lung tissue samples. The ability to detect cyanobacteria in human samples will allow further research into the role cyanobacteria plays in human health and disease.

Identification of Spatial Proteomic Signatures of Colon Tumor Metastasis: A Digital Spatial Profiling Approach

Over 150,000 Americans are diagnosed with colorectal cancer (CRC) every year, and annually >50,000 individuals are estimated to die of CRC, necessitating improvements in screening, prognostication, disease management, and therapeutic options. CRC tumors are removed en bloc with surrounding vasculature and lymphatics. Examination of regional lymph nodes at the time of surgical resection is essential for prognostication. Developing alternative approaches to indirectly assess recurrence risk would have utility in cases where lymph node yield is incomplete or inadequate. Spatially dependent, immune cell-specific (eg, tumor-infiltrating lymphocytes), proteomic, and transcriptomic expression patterns inside and around the tumor-the tumor immune microenvironment-can predict nodal/distant metastasis and probe the coordinated immune response from the primary tumor site. The comprehensive characterization of tumor-infiltrating lymphocytes and other immune infiltrates is possible using highly multiplexed spatial omics technologies, such as the GeoMX Digital Spatial Profiler. In this study, machine learning and differential co-expression analyses helped identify biomarkers from Digital Spatial Profiler-assayed protein expression patterns inside, at the invasive margin, and away from the tumor, associated with extracellular matrix remodeling (eg, granzyme B and fibronectin), immune suppression (eg, forkhead box P3), exhaustion and cytotoxicity (eg, CD8), Programmed death ligand 1-expressing dendritic cells, and neutrophil proliferation, among other concomitant alterations. Further investigation of these biomarkers may reveal independent risk factors of CRC metastasis that can be formulated into low-cost, widely available assays.

Gain of CCND1 May Occur Too Infrequently in Cutaneous Melanoma, and Too Late in Melanomagenesis, to Be Diagnostically Useful: Genomic Analysis of 88 Cases

ABSTRACT

Genomic analysis is an important tool in the diagnosis of histologically ambiguous melanocytic neoplasms. Melanomas, in contrast to nevi, are characterized by the presence of multiple copy number alterations. One such alteration is gain of the proto-oncogene CCND1 at 11q13. In melanoma, gain of CCND1 has been reported in approximately one-fifth of cases. Exact frequencies of CCND1 gain vary by melanoma subtype, ranging from 15.8% for lentigo maligna to 25.1% for acral melanoma. We present a cohort of 72 cutaneous melanomas from 2017-2022 in which only 6 (8.3%) showed evidence of CCND1 gain by chromosomal microarray. This CCND1 upregulation frequency falls well below those previously published and is significantly lower than estimated in the literature ( P < 0.05). In addition, all 6 melanomas with CCND1 gain had copy number alterations at other loci (most commonly CDKN2A loss, followed by RREB1 gain), and 5 were either thick or metastatic lesions. This suggests that CCND1 gene amplification may be a later event in melanomagenesis, long after a lesion would be borderline or equivocal by histology. Data from fluorescence in situ hybridization, performed on 16 additional cutaneous melanomas, further corroborate our findings. CCND1 gain may not be a common alteration in melanoma and likely occurs too late in melanomagenesis to be diagnostically useful. We present the largest chromosomal microarray analysis of CCND1 upregulation frequencies in cutaneous melanoma, conjecture 3 hypotheses to explain our novel observation, and discuss implications for the inclusion or exclusion of CCND1 probes in future melanoma gene panels.

Validation of a rapid HLA-DQA1*05 pharmacogenomics assay to identify at-risk resistance to anti-tumor necrosis factor therapy among patients with inflammatory bowel disease

OBJECTIVES

The HLA-DQA1*05 variant (rs2097432) is associated with increased risk of immunogenicity to tumor necrosis factor antagonists, with subsequent resistance to therapy in patients with inflammatory bowel disease. Identification of these patients would optimize personalized therapeutic selection.

METHODS

Genomic DNA was extracted from 80 deidentified samples in an unselected patient population with an unknown rs2097432 genotype. Split sample analysis was performed using a reference laboratory. Primer probes for a TaqMan quantitative polymerase chain reaction (qPCR) assay (Thermo Fisher Scientific) were custom designed. Synthesized genomic-block fragments were used as controls. All qPCR reactions were performed using a TaqMan GTXpress Master Mix (Thermo Fisher Scientific) on the Applied Biosystems 7500 system under fast cycling conditions.

RESULTS

Of 80 samples, 50% were wild-type reference genotypes, 22.5% were heterozygous, and 27.5% were homozygous variant calls, comparable to population data. Split analysis samples between 2 independent laboratories were 100% concordant. The detection limit tested across genomic-block controls processed in duplicate was reproducible on sample input from 10 ng titrated down to 1.25 ng across 2 independent runs. Further, analytical specificity assessed with previous wild-type reference and homozygous variant DNA spiked into genomic-block controls produced appropriate heterozygous genotypes.

CONCLUSIONS

Here we present validation of a lab-developed test for a rapid HLA-DQA1*05 (rs2097432) pharmacogenomics assay targeting a hotspot identified by genome-wide association studies. Targeted genotyping employed here will allow for expeditious personalized therapeutic selection.

Inferring spatial transcriptomics markers from whole slide images to characterize metastasis-related spatial heterogeneity of colorectal tumors: A pilot study

Over 150 000 Americans are diagnosed with colorectal cancer (CRC) every year, and annually over 50 000 individuals will die from CRC, necessitating improvements in screening, prognostication, disease management, and therapeutic options. Tumor metastasis is the primary factor related to the risk of recurrence and mortality. Yet, screening for nodal and distant metastasis is costly, and invasive and incomplete resection may hamper adequate assessment. Signatures of the tumor-immune microenvironment (TIME) at the primary site can provide valuable insights into the aggressiveness of the tumor and the effectiveness of various treatment options. Spatially resolved transcriptomics technologies offer an unprecedented characterization of TIME through high multiplexing, yet their scope is constrained by cost. Meanwhile, it has long been suspected that histological, cytological, and macroarchitectural tissue characteristics correlate well with molecular information (e.g., gene expression). Thus, a method for predicting transcriptomics data through inference of RNA patterns from whole slide images (WSI) is a key step in studying metastasis at scale. In this work, we collected tissue from 4 stage-III (pT3) matched colorectal cancer patients for spatial transcriptomics profiling. The Visium spatial transcriptomics (ST) assay was used to measure transcript abundance for 17 943 genes at up to 5000 55-micron (i.e., 1-10 cells) spots per patient sampled in a honeycomb pattern, co-registered with hematoxylin and eosin (H&E) stained WSI. The Visium ST assay can measure expression at these spots through tissue permeabilization of mRNAs, which are captured through spatially (i.e., x-y positional coordinates) barcoded, gene specific oligo probes. WSI subimages were extracted around each co-registered Visium spot and were used to predict the expression at these spots using machine learning models. We prototyped and compared several convolutional, transformer, and graph convolutional neural networks to predict spatial RNA patterns at the Visium spots under the hypothesis that the transformer- and graph-based approaches better capture relevant spatial tissue architecture. We further analyzed the model's ability to recapitulate spatial autocorrelation statistics using SPARK and SpatialDE. Overall, the results indicate that the transformer- and graph-based approaches were unable to outperform the convolutional neural network architecture, though they exhibited optimal performance for relevant disease-associated genes. Initial findings suggest that different neural networks that operate on different scales are relevant for capturing distinct disease pathways (e.g., epithelial to mesenchymal transition). We add further evidence that deep learning models can accurately predict gene expression in whole slide images and comment on understudied factors which may increase its external applicability (e.g., tissue context). Our preliminary work will motivate further investigation of inference for molecular patterns from whole slide images as metastasis predictors and in other applications.

Potential Impact of Pharmacogenomic Single Nucleotide Variants in a Rural Caucasian Population

BACKGROUND

In the US adverse drug reactions (ADRs) are estimated to cause 100 000 fatalities and cost over $136 billion annually. A patient's genes play a significant role in their response to a drug. Pharmacogenomics aims to optimize drug choice and dose for individual patients by characterizing patients' pharmacologically relevant genes to identify variants of known impact.

METHODS

DNA was extracted from randomly selected remnant whole blood samples from Caucasian patients with previously performed complete blood counts. Samples were genotyped by mass spectrometry using a customized pharmacogenomics panel. A third-party result interpretation service used genotypic results to predict likely individual responses to frequently prescribed drugs.

RESULTS

Complete genotypic and phenotypic calls for all tested Cytochrome P450 isoenzymes and other genes were obtained from 152 DNA samples. Of these 152 unique genomic DNA samples, 140 had genetic variants suggesting dose adjustment for at least one drug. Cardiovascular and psychiatry drugs had the highest number of recommendations, which included United States Food and Drug Administration warnings for highly prescribed drugs metabolized by CYP2C19, CYP2C9, CYP2D6, HLA-A, and VKORC1.

CONCLUSIONS

Risk for each drug:gene pairing primarily depends upon the degree of predicted enzyme impairment or activation, width of the therapeutic window, and whether parent compound or metabolite is pharmacologically active. The resulting metabolic variations range from risk of toxicity to therapeutic failure. Pharmacogenomic profiling likely reduces ADR potential by allowing up front drug/dose selection to fit a patient's unique drug-response profile.

A novel method to assess copy number variation in melanoma: Droplet digital PCR for precise quantitation of the RREB1 gene in formalin-fixed, paraffin-embedded melanocytic neoplasms, a proof-of-concept study

BACKGROUND

Melanocytic neoplasms can be challenging to diagnose. One well-established diagnostic aid is the detection of copy number variation (CNV) in a few key genetic loci using conventional methods such as fluorescence in situ hybridization (FISH) and chromosomal microarray (CMA). Droplet digital polymerase chain reaction (ddPCR) is a novel, cost-effective, rapid, and automated method to detect CNV.

METHODS

We perform the first investigation of ddPCR to assay Ras-responsive element-binding protein-1 (RREB1), the most common CNV in melanoma using formalin-fixed, paraffin-embedded (FFPE) melanocytic lesion samples; CMA data are used as the gold standard. Archival samples from 2013 to 2021 were analyzed, including 153 data points from 39 FFPE samples representing 34 patients. Benign, borderline, malignant, and metastatic melanocytic neoplasms were examined.

RESULTS

ddPCR showed a sensitivity and specificity of 93.8% and 95.7% using one reference gene, and 87.5% and 100% using a different reference gene for RREB1 gain detection.

CONCLUSIONS

Here we show that ddPCR can provide inexpensive, rapid, and robust data on the commonest copy number alteration in melanoma. Future development and validation could provide a useful ancillary tool in the diagnosis of challenging melanocytic lesions.

High-definition PCR (HDPCR) detection of DNA and RNA variants in non-small cell lung cancer (NSCLC) samples

e20603

Background: Digital PCR (dPCR) is an emerging technology platform for detecting genomic variants in cancer genomes due to its high sensitivity and fast time to results compared to sequencing. However, translational oncology applications often require the measurement of more biomarkers than there are color channels available on dPCR platforms. One approach to address this limitation with dPCR is to split a sample across many wells and profile a subset of variants in each well. For input-limited samples, however, this results in fewer molecules being profiled in each dPCR well, resulting in a reduction in sensitivity and fewer patient samples processed per instrument run. ChromaCode has developed a research use only (RUO) digital High Definition PCR (HDPCR) NSCLC assay, for multiplexed detection of 14 DNA variants and 15 RNA fusion variants relevant in non-small cell lung cancer samples. The assay is constructed using both amplitude modulation and multi-channel resilient signal encoding methods. Amplitude modulation enables different variants to generate a distinguishable signal at different intensity levels in a single color channel, allowing for multiple targets to be detected within that single-color channel. In addition, resilient encoding generates a signal in more than one color channel to create a form of error detection in the assay design. Methods: Assay benchmarking was performed using over 500 contrived human biological FFPE samples, consisting of synthetic DNA or RNA variants spiked into a background matrix of FFPE-extracted DNA or RNA; over 500 contrived human biological plasma samples, consisting of synthetic DNA or RNA variants spiked into a background matrix of plasma-extracted cell free DNA or RNA; and residual human biological FFPE and plasma NSCLC samples that were previously characterized using a targeted sequencing workflow. The samples were tested using the HDPCR NSCLC assay on the QuantStudio Absolute Q Digital PCR system, and data analysis was performed with custom analysis algorithms. Results: For the more than 500 contrived FFPE and plasma samples, the HDPCR NSCLC assay had high overall agreement with expectation across a range of mutant allele fractions for both DNA and RNA analytes (≥99% PPA and ≥99% NPA). For a set of N = 25 residual human biological FFPE samples, the assay was also highly concordant (100% PPA and 99% NPA) with a targeted panel sequencing comparator. The hands-on workflow time from isolation start to analysis complete was < 24 hours. Conclusions: The HDPCR NSCLC assay is a robust RUO tool for the sensitive and rapid detection of commonly targeted variants relevant to NSCLC samples. This technology could complement sequencing assays when there is a need for a rapid turnaround time or there are limited amounts of isolated nucleic acid.

Wastewater-Based SARS-CoV-2 Surveillance in Northern New England

SARS-CoV-2 viral RNA is shed in the stool of 55-70% of infected individuals and can be detected in community wastewater up to 7 days before people present with COVID-19 symptoms. The detection of SARS-CoV-2 RNA in wastewater may serve as a lead indicator of increased community transmission. Here, we monitored viral concentrations in samples collected from nine municipal wastewater facilities in New Hampshire (NH) and Vermont (VT).Twenty-four-h composite primary influent wastewater samples were collected from nine municipal wastewater treatment facilities twice per week for 5 months (late September 2020 to early February 2021). Wastewater was centrifuged for 30 min at 4600 × g, then the supernatant was frozen until further analysis. Once thawed, samples were concentrated, extracted, and tested for SARS-CoV-2 RNA using reverse transcriptase-quantitative PCR (RT-qPCR) and reverse transcriptase-droplet digital PCR (RT-ddPCR) detection methods. Active case counts for each municipality were tracked from the NH and VT state COVID-19 dashboards. We received a total of 283 wastewater samples from all sites during the study period. Viral RNA was detected in 175/283 (61.8%) samples using RT-qPCR and in 195/283 (68.9%) samples using RT-ddPCR. All nine sites showed positivity in the wastewater, with 8/9 (88.8%) sites having over 50% of their samples test positive over the course of the study. Larger municipalities, such as Nashua, Concord, and Lebanon, NH, showed that SARS-CoV-2 positivity in the wastewater can precede spikes in active COVID-19 case counts by as much as 7 days. Smaller municipalities, such as Woodsville, NH and Hartford, VT, showed sporadic SARS-COV-2 detection and did not always precede a rise in active case counts. We detected SARS-CoV-2 RNA in samples from all 9 municipalities tested, including cities and small towns within this region, and showed wastewater positivity as an early indicator of active case count increases in some regions. Some of the smaller rural municipalities with low case counts may require more frequent sampling to detect SARS-CoV-2 in wastewater before a case surge. With timely collection and analysis of wastewater samples, a community could potentially respond to results by increasing public health initiatives, such as tightening mask mandates and banning large indoor gatherings, to mitigate community transmission of SARS-CoV-2. IMPORTANCE Despite vaccination efforts, the delta and omicron variants of SARS-CoV-2 have caused global surges of COVID-19. As the COVID-19 pandemic continues, it is important to find new ways of tracking early signs of SARS-CoV-2 outbreaks. The manuscript outlines how to collect wastewater from treatment facilities, concentrate the virus in a dilute wastewater sample, and detect it using two sensitive PCR-based methods. It also describes important trends in SARS-CoV-2 concentration in wastewater of a rural region of the United States from Fall 2020 - Winter 2021 and demonstrates the utility of wastewater monitoring as a leading indicator of active SARS-CoV-2 cases. Monitoring changes in concentration of SARS-CoV-2 virus in wastewater may offer an early indicator of increased case counts and enable appropriate public health actions to be taken.

Actionable Tumor Alterations and Treatment Protocol Enrollment of Pediatric and Young Adult Patients With Refractory Cancers in the National Cancer Institute-Children's Oncology Group Pediatric MATCH Trial

PURPOSE

The National Cancer Institute-Children's Oncology Group Pediatric MATCH trial aimed to facilitate evaluation of molecular-targeted therapies in biomarker-selected cohorts of childhood and young adult patients with cancer by screening tumors for actionable alterations.

PATIENTS AND METHODS

Tumors from patients age 1-21 years with refractory solid tumors, lymphomas, or histiocytic disorders were subjected to cancer gene panel sequencing and limited immunohistochemistry to identify actionable alterations for assignment to phase II treatment arms. The rates of treatment arm assignment and enrollment were compared between clinical and demographic groups.

RESULTS

Testing was completed for 94.7% of tumors submitted. Actionable alterations were detected in 31.5% of the first 1,000 tumors screened, with treatment arm assignment and enrollment occurring in 28.4% and 13.1% of patients, respectively. Assignment rates varied by tumor histology and were higher for patients with CNS tumors or enrolled at Pediatric Early Phase Clinical Trials Network sites. A reported history of prior clinical molecular testing was associated with higher assignment and enrollment rates. Actionable alterations in the mitogen-activated protein kinase signaling pathway were most frequent (11.2%). The most common reasons provided for not enrolling on treatment arms were patients receiving other treatment or poor clinical status.

CONCLUSION

The Pediatric MATCH trial has proven the feasibility of a nationwide screening Protocol for identification of actionable genetic alterations and assignment of pediatric and young adult patients with refractory cancers to trials of molecularly targeted therapies. These data support the early use of tumor molecular screening for childhood patients with cancer whose tumors have not responded to standard treatments.

Mixed Effects Machine Learning Models for Colon Cancer Metastasis Prediction using Spatially Localized Immuno-Oncology Markers

Spatially resolved characterization of the transcriptome and proteome promises to provide further clarity on cancer pathogenesis and etiology, which may inform future clinical practice through classifier development for clinical outcomes. However, batch effects may potentially obscure the ability of machine learning methods to derive complex associations within spatial omics data. Profiling thirty-five stage three colon cancer patients using the GeoMX Digital Spatial Profiler, we found that mixed-effects machine learning (MEML) methods† may provide utility for overcoming significant batch effects to communicate key and complex disease associations from spatial information. These results point to further exploration and application of MEML methods within the spatial omics algorithm development life cycle for clinical deployment.

Plasmonic Nanoparticle Conjugation for Nucleic Acid Biosensing

This chapter details the use of gold nanorods conjugated with peptide nucleic acid probes for sequence-specific detection of circulating tumor DNA (ctDNA). ctDNA is gaining increased attention as a biomarker for liquid biopsy, the process of detecting molecules in the peripheral blood rather than a tissue sample. It has wide ranging applications as a diagnostic and prognostic biomarker with a similar mutational profile as the tumor. Plasmonic nanoparticles offer a relatively rapid, amplification-free method for detection of ctDNA through the use of sequence-specific peptide nucleic acid (PNA) probes. In this chapter, we discuss methods for probe design, conjugation to plasmonic particles, and ctDNA quantitation with the resulting sensor. This chapter is a resource for those looking to use plasmonic gold particles for sensing in a solution format for a range of applications.

Living the best of both worlds: A personal scientific journey

Opportunity is the essence of a career in science or medicine and this continues to be a major source of satisfaction for the many scientists and health care providers worldwide. Having trained as a PhD scientist, the world of clinical medicine seemed to be a galaxy away. I could not have been more wrong in that assumption. Here, I tell the story of my career trajectory so that those new to the sciences understand the potential and the opportunities afforded by a career in clinical laboratory medicine.

CRISPR-cas13 enzymology rapidly detects SARS-CoV-2 fragments in a clinical setting

Background

The well-recognized genome editing ability of the CRISPR-Cas system has triggered significant advances in CRISPR diagnostics. This has prompted an interest in developing new biosensing applications for nucleic acid detection. Recently, such applications have been engineered for detection of SARS-CoV-2. Increased demand for testing and consumables of RT-PCR assays has led to the use of alternate testing options. Here we evaluate the accuracy and performance of a novel fluorescence-based assay that received EUA authorization for detecting SARS-CoV-2 in clinical samples.

Methods

The Specific High-Sensitivity Enzymatic Reporter UnLOCKing (SHERLOCK) technology forms the basis of the Sherlock CRISPR SARS-CoV-2 kit using the CRISPR-Cas13a system. Our experimental strategy included selection of COVID-19 patient samples from previously validated RT-PCR assays. Positive samples were selected based on a broad range of cycle thresholds.

Results

A total of 60 COVID-19 patient samples were correctly diagnosed with 100% detection accuracy (relative fluorescence ratios: N gene 95% CI 29.9–43.8, ORF1ab gene 95% CI 30.1–46.3). All controls, including RNase P, showed expected findings. Overall ratios were robustly distinct between positive and negative cases relative to the pre-established 5-fold change in fluorescence.

Conclusions

We have evaluated the accuracy of detecting conserved targets of SARS-CoV-2 across a range of viral loads, including low titers, using SHERLOCK CRISPR collateral detection in a clinical setting. These findings demonstrate encouraging results, at a time when COVID-19 clinical diagnosis and screening protocols remain in demand; especially as new variants emerge and vaccine mandates evolve. This approach highlights new thinking in infectious disease identification and can be expanded to measure nucleic acids in other clinical isolates.

High-Throughput CRISPR-Cas13 SARS-CoV-2 Test

BACKGROUND

The ability to control the spread of COVID-19 continues to be hampered by a lack of rapid, scalable, and easily deployable diagnostic solutions.

METHODS

: We developed a diagnostic method based on CRISPR that can deliver sensitive, specific, and high-throughput detection of Sudden Acute Respiratory Syndrome-Coronavirus-2 (SARS-CoV-2). The assay utilizes SHERLOCK (Specific High-sensitivity Enzymatic Reporter unLOCKing) for the qualitative detection of SARS-CoV-2 RNA and may be performed directly on a swab or saliva sample without nucleic acid extraction. The assay uses a 384-well format and provides results in less than one hour.

RESULTS

Assay performance was evaluated with 105 (55 negative, 50 positive) remnant SARS-CoV-2 specimens previously identified as positive using Food and Drug Administration emergency use authorized assays and re-tested with a modified version of the Centers for Disease Control and Prevention (CDC) RT-qPCR assay. When combined with magnetic bead-based extraction, the high throughput SHERLOCK SARS-CoV-2 assay was 100% concordant (n = 60) with the CDC RT-qPCR. When used with direct sample addition the high throughput assay was also 100% concordant with the CDC RT-qPCR direct method (n = 45). With direct saliva sample addition, the negative and positive percent agreements were 100% (15/15, 95% CI : 81.8-100%) and 88% (15/17, 95% CI : 63.6-98.5%), respectively, compared with results from a collaborating clinical laboratory.

CONCLUSIONS

This high throughput assay identifies SARS-CoV-2 from patient samples with or without nucleic acid extraction with high concordance to RT-qPCR methods. This test enables high complexity laboratories to rapidly increase their testing capacities with simple equipment.

Sustainability and clinical outcomes of routine screening for pathogenic DPYD gene variants prior to fluoropyrimidine (FP) chemotherapy for gastrointestinal (GI) cancer

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Background: Dihyropyrimidine dehydrogenase (DPD) deficiency is present in 3-5% of patients, and is associated with substantially increased risk of severe and/or fatal toxicity during standard-dose FP chemotherapy. Genotyping of pathogenic DPYD variants is a readily available screening test for DPD deficiency, and prospective studies show that dose-reduced FP chemotherapy can be used safely in heterozygous DPYD variant carriers. Methods: Following a sentinel toxicity event the GI medical oncology group at the Norris Cotton Cancer Center adopted a shared practice of routine screening for pathogenic DPYD gene variants prior to FP chemotherapy (5-FU or capecitabine). Screening procedures involved physicians, NP/PAs, nurses, pharmacists, and schedulers. Testing was completed at a send-out lab until late 2020, when an in-house test became available. The current test panel evaluates for 3 gene variants: c.1905+1G > A (*2A), c.1679T > G (*13), and c.2846A > T. We report on the sustainability and clinical outcomes of DPYD gene variant screening. We identified all patients starting new FP-containing intravenous chemotherapy regimens (e.g., FOLFOX, CAPOX) for treatment of GI cancer at two sites (LEB & STJ) between Jan. 2019 and May 2021. We used electronic medical records to evaluate for completion of DPYD genotyping, and we describe the prevalence and management of DPYD gene variant carriers. Results: We identified 333 patients starting FP-containing chemotherapy regimens during the study period, including 287 patients without prior history of FP chemotherapy. Screening with DPYD genotyping was completed in 228 of 287 eligible patients (79%). Screening rates increased from 34% in Q1 of 2019 to 90% in Jan-May 2021. Five GI oncology sub-specialists accounted for 89% of screen-eligible patients and 96% of completed tests, but 10 unique physicians ordered ≥1 test. Of 228 screened patients, six (2.6%) were heterozygous carriers of pathogenic DPYD gene variants (*2A [2 patients], *13 [1], and c.2846A > T [3]). Variant carriers started FP chemotherapy with a 33-50% reduction. Two of six patients required further dose reduction due to FP-related toxicity (grade 4 neutropenia, grade 3 diarrhea). All evaluable variant carriers completed planned initial treatment. Implementation challenges included variable insurance coverage of DPYD genotyping, site-specific test ordering and reporting processes, and inconsistent turn-around time for send-out testing (resolved with on-site testing). Conclusions: Routine screening for pathogenic DPYD gene variants prior to FP chemotherapy is feasible and sustainable in the U.S. DPYD genotyping coupled with chemotherapy dose reductions for DPYD variant carriers facilitates safe and timely completion of planned chemotherapy treatments.

Mammary-type Myofibroblastoma with Leiomyomatous Differentiation: A Rare Variant with Potential Pitfalls

Myofibroblastoma is a rare, benign stromal tumor with a diverse morphologic spectrum. Mammary-type myofibroblastoma (MTMF) is the extra-mammary counterpart of this neoplasm and its occurrence throughout the body has become increasingly recognized. Similar morphologic variations of MTMF have now been described which mirror those seen in the breast. We describe a case of intra-abdominal MTMF composed of short fascicles of eosinophilic spindle cells admixed with mature adipose tissue. The spindle cells stained diffusely positive for CD34, desmin, smooth muscle actin, and h-caldesmon by immunohistochemistry. Concurrent loss of RB1 (13q14) and 13q34 loci were confirmed by fluorescence in situ hybridization whereas anchored multiplex PCR and whole transcriptome sequencing did not reveal any pathognomonic fusions suggesting an alternative diagnosis. To the best of our knowledge this is the first documented case of leiomyomatous variant of MTMF.

Clinical Validation of a 106-SNV MALDI-ToF MS Pharmacogenomic Panel

BACKGROUND

Laboratorians have the opportunity to help minimize the frequency of adverse drug reactions by implementing pharmacogenomic testing and alerting care providers to possible patient/drug incompatibilities before drug treatment is initiated. Methods combining PCR with MALDI-ToF MS have allowed for sensitive, economical, and multiplexed pharmacogenomic testing results to be delivered in a timely fashion.

METHOD

This study evaluated the analytical performance of the Agena Biosciences iPLEX® PGx 74 panel and a custom iPLEX panel on a MassARRAY MALDI-TOF MS instrument in a clinical laboratory setting. Collectively, these panels evaluate 112 SNVs across 34 genes implicated in drug response. Using commercially available samples (Coriell Biorepository) and in-house extracted DNA, we determined ideal reaction conditions and assessed accuracy, precision, and robustness.

RESULTS

Following protocol optimization, the Agena PGx74 and custom panels demonstrated 100% concordance with the 1000 Genomes Project Database and clinically validated hydrolysis probe genotyping assays. 100% concordance was also observed in all assessments of assay precision when appropriate QC metrics were applied.

CONCLUSIONS

Significant development time was required to optimize sample preparation and instrumental analysis and 3 assays were removed due to inconsistent performance. Following modification of the manufacturer's protocol and instituting manual review of each assay plate, the Agena PGx74 and custom panel constitute a cost-effective, robust, and accurate method for clinical identification of 106 SNVs involved in drug response.

Abstract 631: Germline cancer predisposition results from the National Cancer Institute - Children's Oncology Group (NCI-COG) Pediatric MATCH Trial

Background: Although genomic changes identified by clinical tumor sequencing may be present in the germline, precision oncology trials have generally not incorporated germline testing and reporting. We describe our experience with clinical reporting of matched tumor and germline results from the NCI-COG Pediatric Molecular Analysis for Therapy Choice (MATCH) trial (NCT03155620).

Design/Method: Patients age 1 to 21 years old with treatment-refractory solid tumors, non-Hodgkin lymphomas, or histiocytic disorders were eligible. DNA and RNA extracted from FFPE tumors were sequenced using Oncomine Assay v.3 with reporting of potentially actionable fusions, amplifications, and mutations, including loss of function variants in tumor suppressor genes. Germline reporting focused on 36 genes from the same DNA panel that convey adult or pediatric cancer susceptibility but does not include all cancer susceptibility genes (e.g. APC, DICER1). Deletions and splice site variants were not reported.

Results: As of June 2020, 1009 patients had been enrolled from 132 COG sites, with tumor and germline testing complete for 868 patients to date. Overall, 62 (7.1%) germline reports included a pathogenic or likely pathogenic germline variant (termed germline findings) in 18 cancer susceptibility genes. This frequency was similar in patients with solid tumors (46/633, 7.3%), CNS tumors (14/204, 6.9%), and lymphomas/histiocytoses (2/31, 6.5%). Variant(s) of potential germline significance were identified in 25% of tumor reports; of these, 74% (163/221) had no germline findings. The proportion of germline findings for genes with &gt;10 reported tumor variants varied: 32% (7/22) in NF1, 25% (3/12) in RB1, 16% (17/108) in TP53 and 0% in ALK (0/21) and PTEN (0/12). Of note, 82% (14/17) of tumor variants in breast cancer susceptibility genes (BRCA1/2, CHEK2 and PALB2) had germline findings. On study intake forms, 25% of patients with germline findings had a “known genetic disease” reported. Oncologists caring for patients with a germline finding were then queried about prior knowledge of a genetic diagnosis. Of 24 respondents, 13 (54%) reported no prior molecular diagnosis of the identified condition.

Conclusions: Coordinated germline and tumor testing revealed clinically relevant cancer susceptibility variants across a spectrum of genes in 7% of pediatric patients with treatment-refractory cancers. This is likely an underestimate of germline findings given test limitations. The parallel tumor/normal reporting approach minimized the need for targeted reflex genetic testing in 19% of study participants and provided new information on cancer susceptibility in germline positive patients to half of the responding oncologists. The NCI-COG Pediatric MATCH trial reporting process can serve as a model for precision oncology trials and clinical tumor profiling.

Citation Format: Sarah Scollon, Sharon E. Plon, Steven Joffe, Jaclyn A. Biegel, Shashikant Kulkarni, George Miles, David Patton, Brent Coffey, Paul M. Williams, Gregory J. Tsongalis, Mark J. Routbort, Julie M. Gastier-Foster, Lauren Saguilig, Jin Piao, Todd A. Alonzo, Katherine A. Janeway, Peter C. Adamson, Margaret Mooney, James V. Tricoli, Nita L. Seibel, Donald W. Parsons. Germline cancer predisposition results from the National Cancer Institute - Children's Oncology Group (NCI-COG) Pediatric MATCH Trial [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 631.

Factors impacting enrollment on NCI-COG Pediatric MATCH trial treatment protocols

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Background: The NCI-Children’s Oncology Group (COG) Pediatric Molecular Analysis for Therapy Choice (MATCH) trial assigns patients age 1 to 21 years with relapsed or refractory solid tumors, lymphomas, and histiocytic disorders to phase 2 treatment arms of molecularly-targeted therapies based on the genetic alterations detected in their tumor. Treatment arm assignments and enrollment decisions have now been made for 1000 study participants: we report here match and enrollment data and factors affecting treatment protocol enrollment. Methods: Patients enrolled in the Pediatric MATCH screening protocol were assigned to an open treatment protocol if an actionable mutation (aMOI) was detected by tumor DNA and RNA-based cancer gene panel sequencing. After a match, treatment protocol enrollment must occur within 8-12 weeks. Patient demographic data, reasons for not enrolling on treatment protocol (if applicable), and prior history of molecular testing were reported by study sites. The Fisher exact test was used to compare protocol enrollment rates between groups. Results: Results were analyzed for the first 1000 patients with testing completed (enrolled between July 2017 and October 2020). At least one tumor aMOI was detected in 310 (31%) patients and treatment protocol slots were available for 284 patients (28%). A total of 131 patients (46% of those matched) enrolled on a treatment arm. No difference in treatment protocol match or enrollment rate was observed for gender, race, or ethnicity. Both treatment protocol match rate (105/275, 38% vs 86/394, 22%) and enrollment rate (56/275, 20% vs 33/394, 8%) were significantly more frequent in patients with a reported history of prior molecular testing (p<0.0001). The most common reasons provided for not enrolling on a treatment protocol were: patient receiving other treatment (32% of responses), poor clinical status (16%), lack of measurable disease (11%), or ineligible diagnosis for that treatment arm (10%). Ineligibility due to history of excluded prior targeted therapy (6%) or inability to swallow capsules (4%) was less frequent. Conclusions: The rate of Pediatric MATCH treatment protocol enrollment has exceeded pre-study projections, due to more frequent actionable mutation detection and treatment assignment than anticipated (28% observed, 10% projected). This may in part reflect an increased number of targetable events in recurrent or refractory pediatric cancers. Correlative studies analyzing pre-treatment tumors from MATCH study patients are underway and will address this hypothesis. Prior history of molecular testing was associated with higher match and enrollment rate and poor clinical status was a common reason for not enrolling on a treatment protocol, suggesting that early molecular screening of children with solid malignancies may facilitate enrollment to biomarker-selected trials of targeted therapies. Clinical trial information: NCT03155620.

Biomarker testing in non-small cell lung cancer (NSCLC): An assessment of current practices in precision oncology in the community setting—A trial of the ECOG-ACRIN cancer research group (EAQ161CD)

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Background: Molecular biomarker testing is integral to NSCLC cancer care, but adoption and testing practices in the community are varied and often suboptimal. Testing practices, such as standard testing protocols and results turnaround time (TAT), impact timely treatment decisions. We examined adoption and testing practices for guideline recommended NSCLC biomarkers among National Cancer Institute Community Research Program (NCORP) sites. The study was conducted in collaboration with Wake Forest NCORP Research Base. Methods: An online survey was administered to onsite labs affiliated with NCORP sites April 2019 – June 2020. We assessed testing practices for 7 NCCN recommended biomarkers, including 3 with category 1 recommendation (EGFR, ALK, PD-L1) and 4 with category 2 recommendations (BRAF, ROS1, MET, RET). Guideline concordant result TAT was defined as return of EGFR and ALK results in ≤ 10 days (Lindeman 2018) (see Table for other outcomes). We used proportions, including two-sided Fischer exact tests, to compare outcomes by site characteristics (safety net, practice size). Results: The survey response rate was 69% (58/85). All responding labs offered testing for category 1 biomarkers (EGFR, ALK and PD-L1); only 10% conducted these tests in-house (Table). The majority of labs also tested for category 2 biomarkers (67%). TAT varied, with most labs returning results in ≤ 10 days for EGFR and ALK (69%, but only a minority meet this TAT for all biomarkers. Larger practice size (> 1400 new cancer cases a year) was associated with in-house testing of EGFR, ALK, PD-L1 (p=0.03) and having standard testing protocols (p<0.001). Safety net affiliation did not significantly impact practices. Conclusions: We found universal adoption of NCCN category 1 biomarkers among the labs affiliated with NCORP sites, with the majority meeting guideline concordant results TAT. There is opportunity for improvement in adoption of category 2 biomarkers and result TAT, for example, by using standard testing protocols. Reassuringly, no difference in testing practices was detected by safety net affiliation.[Table: see text]

Reducing dermal exposure to agrochemical carcinogens using a fluorescent dye-based intervention among subsistence farmers in rural Honduras

BACKGROUND

Occupational exposure to agrochemicals, some of which are known or suspected carcinogens, is a major health hazard for subsistence agricultural workers and their families. These impacts are more prevalent in low-and-middle income countries (LMIC) due to weak regulations, lack of awareness of the risks of contamination, predominant use of handheld backpack style spraying equipment, general lack of personal protective equipment (PPE), and low literacy about proper agrochemical application techniques. Reducing exposure to agrochemicals was identified as a paramount concern by rural Hondurans working with a community-engaged research initiative. Fluorescent tracer dyes have been described as a means of visualizing and quantifying dermal exposure to agricultural chemicals, and exposure models adapted for LMIC have been developed previously. Tracer dyes have also been used in educational simulations to promote pesticide safety. However, studies evaluating the effectiveness of these educational dye interventions in reducing future exposure have been lacking.

AIM

To evaluate whether observing one's own chemical contamination after applying agrochemicals changed the amount of occupational dermal exposure during a subsequent chemical application.

METHODS

We employed a multi-modal community intervention in a rural village in Honduras that incorporated chemical safety education and use of a fluorescent tracer dye during pesticide application on two consecutive occasions, and compared dermal exposure between the intervention group (previous dye experience and safety education, n = 6) and the control group (safety education only, n = 7).

RESULTS

Mean total visual score (TVS) of the tracer dye, which accounts for both extent and intensity of whole-body contamination, was lower among those who had previously experienced the dye intervention (mean TVS = 41.3) than among participants who were dye-naïve (mean TVS = 78.4), with a difference between means of -37.10 (95% CI [-66.26, -7.95], p = 0.02). Stratifying by body part, contamination was significantly lower for the anterior left lower extremity and bilateral feet for the dye-experienced group vs. dye-naïve, with most other segments showing a trend toward decreased contamination as well.

CONCLUSION

Participants who had previously experienced the dye intervention were significantly less contaminated than the dye-naïve control group during a subsequent spraying event. The findings of this small pilot study suggest that a multi-modal, community-based approach that utilizes fluorescence-augmented contamination for individualized learning (FACIL) may be effective in reducing dermal exposure to carcinogenic agrochemicals among subsistence farmers in Honduras and other LMIC.

Evaluation of a Next-Generation Sequencing Metagenomics Assay to Detect and Quantify DNA Viruses in Plasma from Transplant Recipients

Viral infections are major causes of morbidity and mortality in solid-organ and hematopoietic stem cell transplant recipients. This study evaluated the performance of the Galileo Pathogen Solution metagenomics Next-Generation sequencing assay to detect and quantify 11 DNA viruses (cytomegalovirus, Epstein-Barr virus, BK virus, human adenovirus, JC virus, herpes simplex virus 1 and 2, varicella zoster virus, human herpesvirus 6A and 6B, and parvovirus B19) and to qualitatively detect torque teno virus. DNA extracted from 47 plasma samples of viremic transplant recipients were subjected to DNA library preparation with pathogen enrichment/human background depletion, sequencing, and automated data analysis. The viral loads were determined with the Galileo assay using a standard curve generated from a calibration panel. All of the samples tested had a 100% agreement with the real-time quantitative PCR (qPCR) assays in detecting the primary virus targets and the majority of the quantified samples had a viral load difference within 0.46 log₁₀ IU/mL or copies/mL. The mean difference for cytomegalovirus between the Galileo and qPCR assays was 0.21 log₁₀ IU/mL (SD, ±0.43 log₁₀ IU/mL). The mean difference for BK virus between the Galileo and qPCR assays was 0.17 log₁₀ cp/mL (SD, ±0.67 log₁₀ cp/mL). Additionally, 75 co-infections were detected in 31 samples by the Galileo assay. The study findings show that the Galileo assay can simultaneously detect and quantify multiple viruses in transplant recipients with results that are comparable with standard-of-care qPCR assays.

Comparison of Tissue Molecular Biomarker Testing Turnaround Times and Concordance Between Standard of Care and the Biocartis Idylla Platform in Patients With Colorectal Cancer

OBJECTIVES

Management of colorectal cancer warrants mutational analysis of KRAS/NRAS when considering anti-epidermal growth factor receptor therapy and BRAF testing for prognostic stratification. In this multicenter study, we compared a fully integrated, cartridge-based system to standard-of-care assays used by participating laboratories.

METHODS

Twenty laboratories enrolled 874 colorectal cancer cases between November 2017 and December 2018. Testing was performed on the Idylla automated system (Biocartis) using the KRAS and NRAS-BRAF cartridges (research use only) and results compared with in-house standard-of-care testing methods.

RESULTS

There were sufficient data on 780 cases to measure turnaround time compared with standard assays. In-house polymerase chain reaction (PCR) had an average testing turnaround time of 5.6 days, send-out PCR of 22.5 days, in-house Sanger sequencing of 14.7 days, send-out Sanger of 17.8 days, in-house next-generation sequencing (NGS) of 12.5 days, and send-out NGS of 20.0 days. Standard testing had an average turnaround time of 11 days. Idylla average time to results was 4.9 days with a range of 0.4 to 13.5 days.

CONCLUSIONS

The described cartridge-based system offers rapid and reliable testing of clinically actionable mutation in colorectal cancer specimens directly from formalin-fixed, paraffin-embedded tissue sections. Its simplicity and ease of use compared with other molecular techniques make it suitable for routine clinical laboratory testing.

Molecular genetic profiling reveals novel association between FLT3 mutation and survival in glioma

INTRODUCTION

Recent molecular characterization of gliomas has uncovered somatic gene variation and DNA methylation changes that are associated with etiology, prognosis, and therapeutic response. Here we describe genomic profiling of gliomas assessed for associations between genetic mutations and patient outcomes, including overall survival (OS) and recurrence-free survival (RFS).

METHODS

Mutations in a 50-gene cancer panel, 1p19q co-deletion, and MGMT promoter methylation (MGMT methylation) status were obtained from tumor tissue of 293 glioma patients. Multivariable regression models for overall survival (OS) and recurrence-free survival (RFS) were constructed for MGMT methylation, 1p19q co-deletion, and gene mutations controlling for age, treatment status, and WHO grade.

RESULTS

Mutational profiles of gliomas significantly differed based on WHO Grade, such as high prevalence of BRAF V600E, IDH1, and PTEN mutations in WHO Grade I, II/III, and IV tumors, respectively. In multivariate regression analysis, MGMT methylation and IDH1 mutations were significantly associated with improved OS (HR = 0.44, p = 0.0004 and HR = 0.21, p = 0.007, respectively), while FLT3 and TP53 mutations were significantly associated with poorer OS (HR = 19.46, p < 0.0001 and HR = 1.67, p = 0.014, respectively). MGMT methylation and IDH1 mutations were the only significant alterations associated with improved RFS in the model (HR = 0.42, p < 0.0001 and HR = 0.37, p = 0.002, respectively). These factors were then included in a combined model, which significantly exceeded the predictive value of the base model alone (age, surgery, radiation, chemo, grade) (likelihood ratio test OS p = 1.64 × 10^-8 and RFS p = 3.80 × 10^-7).

CONCLUSIONS

This study highlights the genomic landscape of gliomas in a single-institution cohort and identifies a novel association between FLT3 mutation and OS in gliomas.

Abstract C116: High-risk HPV screening and typing shows high co-infection rate and potential for low vaccine coverage in a low- and middle-income country

Introduction. Cervical cancer is almost always a result of infection with a high risk human papillomavirus (hrHPV) of which there are 14 different types. This type of cancer is prevalent in low- and middle-income countries (LMICs) where screening programs for pre- or invasive cervical cancer by Pap test or visual inspection with ascetic acid are limited in scope as is local expertise in evaluating Pap smears. Since 2006, a HPV vaccine protecting against hrHPV types 16 and 18 has been recommended by the WHO, and through the GAVI Alliance, is provided to some fractions of populations in more than 70 countries. A newer and more expensive vaccine protects again 9 types of HPV A broader spectrum 9-valent vaccine released in 2014 protects against HPV types 6, 11, 16, 18, 31, 33, 45, 52, and 58. Preventing cervical cancer by vaccination against HPV is considered to be a promising strategy. Materials and Methods. In three separate studies, we implemented molecular screening for hrHPV from cervical swab specimens, providing access to pre-cancer testing for women from several regions of Honduras, which is ranked the poorest country in the northern hemisphere. We screened 2,645 women from two rural regions and an urban region of Honduras. In the final study of 1725 Honduran factory workers, we substituted a large-capacity rice cooker for a standard laboratory hotplate to accelerate laboratory throughput for DNA extraction. A DNA-based multi-color melt curve analysis by PCR followed, and we were able to rapidly screen for all 14 hrHPV types. Results. Across all three studies, there was an average hrHPV positivity prevalence of 22%. The most common types of hrHPV found in each study were as follows: Study 1 hrHPV types 16, 31, 58, 59, and 68; Study 2 hrHPV types 16, 39, 52, 58, and 68; and Study 3 were hrHPV types 16, 35, 58, 63, and 64 were the most common. Among those infected with a hrHPV type, 18% had co-infections with multiple hrHPV types. Based on these results, the vast majority of infected women would not have been protected by the divalent HPV vaccine and a significant proportion of women would still not be protected by the multivalent vaccine, which does not cover the hrHPV types 35, 39, 52, 59, 63, 64, 88 found in these samples. Conclusions. Cervical cancer remains a prevalent and deadly disease in LMICs. Our studies examining the prevalence of hrHPV types in several different regions of Honduras identified high prevalence rates of viral types not targeted by commercially available vaccines. These findings suggest that vaccination programs alone should not be considered complete coverage against cervical cancer-causing high-risk HPV, and that further location-specific testing of cervical tissue for hrHPV typing is warranted.

Citation Format: Aaron E Atkinson, Carlos Alberto Matute Mandujano, Suyapa Bejarano, Linda S Kennedy, Gregory J Tsongalis. High-risk HPV screening and typing shows high co-infection rate and potential for low vaccine coverage in a low- and middle-income country [abstract]. In: Proceedings of the Twelfth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2019 Sep 20-23; San Francisco, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(6 Suppl_2):Abstract nr C116.

Implementation of an Emergency Use Authorization Test During an Impending National Crisis

The laboratory response to the current severe acute respiratory syndrome coronavirus 2 pandemic may be termed heroic. From the identification of the novel coronavirus to implementation of routine laboratory testing around the world to the development of potential vaccines, laboratories have played a critical role in the efforts to curtail this pandemic. In this brief report, we review our own effort at a midsized, rural, academic medical center to implement a molecular test for the virus; and we share insights and lessons learned from that process, which might be helpful in similar situations in the future.

A case of molecularly confirmed BAP1 inactivated melanocytic tumor with retention of immunohistochemical expression: A confounding factor

BRCA1-associated Protein 1 (BAP1)-inactivated melanocytic nevi/tumors (BIMT) have distinct morphologic features. A typical case exhibits a biphasic population of cytologically bland conventional melanocytes and a second proliferation of larger epithelioid melanocytes with abundant eosinophilic cytoplasm. The vast majority of cases harbor BRAF V600E in both components with bi-allelic inactivation of BAP1 in the epithelioid component by various molecular mechanisms resulting in loss of nuclear protein expression, which can be demonstrated by immunohistochemistry. We present a case of BIMT with histopathologic features highly suggestive of this entity but unexpected retention of nuclear expression of the BAP1 protein. Subsequent molecular tests showed heterozygous loss of the BAP1 locus on the short arm of chromosome 3 (3p21.1) by chromosomal microarray analysis (CMA) and a suspected c.505C>T p.H169Y pathogenic variant identified by DNA sequencing that was subsequently confirmed by primer-specific SNaPshot mini-sequencing. In light of the heterozygous deletion of BAP1, this variant in the remaining allele encodes a catalytically inactive BAP1 mutant protein as shown in functional studies. The presence of a nonfunctional allele within the nucleus combined with a heterozygous deletion of BAP1 explains the clear and characteristic BIMT morphology observed by histopathology. This case underlines the potential importance of molecular diagnostics when protein expression studies do not correlate with morphology.

Feasibility of Brigade-Style, Multiphasic Cancer Screening in Rural Honduras

PURPOSE

To evaluate the feasibility of brigade-style, multiphasic cancer screening in Honduras, exploring data from 3 screening events that each tested for multiple cancers on single occasions.

METHODS

This series of 3 studies each used a single-arm, post-test-only design to explore the feasibility of implementing multiphasic, community-based cancer screening at the same rural location in 2013, 2016, and 2017. The 2013 event for women screened for 2 cancers (breast and cervix), and the 2016 event for women screened for 3 cancers (breast, cervix, and thyroid). The 2017 event for men screened for 5 cancers (skin, prostate, colorectal, oropharynx, and testes).

RESULTS

Totals of 473 and 401 women participated in the 2013 and 2016 events, respectively, and 301 men participated in the 2017 event. Staffing for each event varied from 33 to 44 people and relied primarily on in-country medical students and local community members. High rates (mean, 88%) of compliance with referral for follow-up testing at clinics and primary care facilities were observed after the screening events.

CONCLUSION

The multiphasic, community-based approach proved feasible for both women and men and resulted in high rates of compliance with follow-up testing. This approach appears highly replicable: it was conducted multiple times across the years with different screening targets, which could be further scaled elsewhere using the same technique.

Rapid EGFR mutation testing in lung cancer tissue samples using a fully automated system and single-use cartridge

Introduction

Activating mutations in the tyrosine kinase domain of the epidermal growth factor receptor (EGFR) gene in non-small cell lung cancer (NSCLC) patients predicts response to EGFR tyrosine kinase inhibitors (TKIs). The Idylla™ system (Biocartis, Mechelen, Belgium) is a fully integrated, cartridge-based platform that provides automated sample processing and real-time PCR-based mutation detection in a single-use cartridge. This study evaluated the Idylla™ EGFR Mutation Assay cartridges against next-generation sequencing (NGS) using formalin fixed, paraffin embedded (FFPE) lung cancer tissue samples.

Methods

Thirty-four FFPE lung adenocarcinoma tissue samples were tested on the Idylla™ system. 21 had at least one mutation in EGFR and 13 had no EGFR mutation as determined by NGS analysis using the Ion AmpliSeq 50-gene Cancer Hotspot Panel v2 (Thermo Fisher Scientific). One 10 ​μm FFPE tissue section was used for each Idylla™ test and all cases met the Idylla™ minimum tumor content requirement (≥10%).

Results

Idylla™ results were in complete agreement with those obtained by NGS for EGFR mutations targeted by the Idylla™. NGS identified two additional EGFR mutations that are not targeted by the Idylla™ in two samples (E709V and V774M). No EGFR mutations were detected by the Idylla™ in samples determined by NGS as having wild-type EGFR.

Conclusion

The fully automated Idylla™ system offers rapid and reliable testing for clinically actionable mutations in EGFR directly from FFPE tissue sections. Its simplicity and ease of use compared to other available molecular techniques make it suitable for routine clinical use in a variety of settings.

Third-Generation Sequencing in the Clinical Laboratory: Exploring the Advantages and Challenges of Nanopore Sequencing

Metagenomic sequencing for infectious disease diagnostics is an important tool that holds promise for use in the clinical laboratory. Challenges for implementation so far include high cost, the length of time to results, and the need for technical and bioinformatics expertise. However, the recent technological innovation of nanopore sequencing from Oxford Nanopore Technologies (ONT) has the potential to address these challenges. ONT sequencing is an attractive platform for clinical laboratories to adopt due to its low cost, rapid turnaround time, and user-friendly bioinformatics pipelines. However, this method still faces the problem of base-calling accuracy compared to other platforms. This review highlights the general challenges of pathogen detection in clinical specimens by metagenomic sequencing, the advantages and disadvantages of the ONT platform, and how research to date supports the potential future use of nanopore sequencing in infectious disease diagnostics.

Rapid Somatic Mutation Testing in Colorectal Cancer by Use of a Fully Automated System and Single-Use Cartridge: A Comparison with Next-Generation Sequencing

Background

Molecular tests have been increasingly used in the management of various cancers as more targeted therapies are becoming available as treatment options. The Idylla™ system is a fully integrated, cartridge-based platform that provides automated sample processing (deparaffinization, tissue digestion, and DNA extraction) and real-time PCR-based mutation detection with all reagents included in a single-use cartridge. This retrospective study aimed at evaluating both the Idylla KRAS and NRAS-BRAF-EGFR492 Mutation Assay cartridges (research use only) against next-generation sequencing (NGS) by using colorectal cancer (CRC) tissue samples.

Methods

Forty-four archived formalin-fixed paraffin-embedded (FFPE) CRC tissue samples previously analyzed by targeted NGS were tested on the Idylla system. Among these samples, 17 had a mutation in KRAS proto-oncogene, GTPase (KRAS), 5 in NRAS proto-oncogene, GTPase (NRAS), and 12 in B-Raf proto-oncogene, serine/threonine kinase (BRAF) as determined using the Ion AmpliSeq 50-gene Cancer Hotspot Panel v2. The remaining 10 samples were wild-type for KRAS, NRAS, and BRAF. Two 10-μm FFPE tissue sections were used for each Idylla run, 1 for the KRAS cartridge, and 1 for the NRAS-BRAF-EGFR492 cartridge. All cases met the Idylla minimum tumor content requirement for KRAS, NRAS, and BRAF (≥10%). Assay reproducibility was evaluated by testing commercial controls derived from human cell lines, which had an allelic frequency of 50% and were run in triplicate.

Results

The Idylla system successfully detected all mutations previously identified by NGS in KRAS (G12C, G12D, G12V, G13D, Q61K, Q61R, A146T), NRAS (G12V, G13R, Q61H), and BRAF (V600E). Compared with NGS, Idylla had a sensitivity of 100%. Analysis of the mutated commercial controls demonstrated agreement with the expected result for all samples and 100% reproducibility. The Idylla system produced results quickly with a turnaround time of approximately 2 h.

Conclusion

The Idylla system offers reliable and sensitive testing of clinically actionable mutations in KRAS, NRAS, and BRAF directly from FFPE tissue sections.

Identification of targetable molecular alterations in the NCI-COG Pediatric MATCH trial

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Background: The screening protocol for the NCI-Children’s Oncology Group (COG) Pediatric Molecular Analysis for Therapy Choice (MATCH) trial detects tumor alterations that are used to assign patients with treatment-refractory or recurrent cancers to phase 2 treatment arms of molecularly-targeted therapies. Methods: Patients age 1 to 21 years old with treatment-refractory or recurrent solid tumors, non-Hodgkin lymphomas, or histiocytic disorders treated at U.S. based COG sites are eligible. DNA and RNA extracted from FFPE tumor samples are sequenced using an Oncomine cancer gene panel for detection of mutations, amplifications, and fusions. Loss of SMARCB1, SMARCA4, and PTEN expression is detected by immunohistochemistry. Lists of actionable mutations (aMOIs) based upon available clinical and pre-clinical data are used a priori to determine eligibility for treatment arms. Results: Between 7/24/17 and 12/31/18, 422 patients with a median age of 13 years (range 1-21) were enrolled from 93 COG sites. Solid tumors comprised 71% (n = 300) of diagnoses, CNS tumors 24% (n = 101) and lymphomas/histiocytoses 5% (n = 21). A tumor sample was submitted for 390 patients, sequencing was attempted for 370 (95%), and results were confirmed for 357 (92%). Median turn-around time was 15 days. An aMOI for at least one of the 10 current treatment arms was identified in 112 patients (29%, 95% CI 24%-33%); 95 patients (24%, 95% CI 20%-29%) were assigned to a treatment arm with 39 patients (10%, 95% CI 7%-13%) enrolled to date. The aMOI rate was similar in patients less than 12 years of age (35%) compared to patients 12 years and older (25%). Actionable MAPK pathway alterations were found in 11% of patients (n = 41), most often HRAS/ KRAS/ NRAS mutations (n = 16), BRAF mutations or fusions (n = 14), or NF1 mutations (n = 11). Other genes with recurrent aMOIs included SMARCB1 (n = 14), ALK (n = 8), CDK4 (n = 8), PIK3CA (n = 7), PTEN (n = 7), FGFR1 (n = 5), and BRCA1/BRCA2 (n = 5). Conclusions: Approximately one-quarter of patients with tumor submitted for Pediatric MATCH screening have been assigned to an investigational therapy, facilitating the evaluation of molecularly-targeted agents in biomarker-positive pediatric cohorts through a collaborative nationwide study. Clinical trial information: NCT03155620.