Publications by authors named "Tsongalis G"

Article Synopsis
  • Head and neck cancer (HNC) is a growing health issue in Rwanda, with a study analyzing data from 1001 patients revealing that 82% had squamous cell carcinoma and a mean age of diagnosis at 51.1 years, predominantly in males.
  • The study utilized p16 immunohistochemistry to assess HPV prevalence, finding that 22% of cases were p16-positive, with 19% testing positive for HPV, particularly HPV16.
  • It concluded that there is an urgent need for improved cancer testing and data collection in Rwanda to better understand and combat HNC, especially focusing on oropharyngeal cases and associated risk factors.
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  • Mesenchymal neoplasms in the nasal cavity, such as angioleiomyoma (AL) and angiomyolipoma (AML), are rare tumors that involve vascular, smooth muscle, and adipocytic components, with unclear classifications as hamartomas or true neoplasms due to limited genetic research.
  • A multi-institutional retrospective study collected data on 15 nasal cavity lesions, primarily affecting older males with obstructive symptoms, and analyzed tissue samples for genetic features.
  • The study discovered that most cases had a high proportion of smooth muscle, with some showing additional components like blood vessels and fatty tissue, while all lesions were positive for smooth muscle markers, indicating their muscular origin.
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  • Deep learning applied to spatial transcriptomics (ST) helps understand how gene expression relates to tissue structure, allowing for large-scale studies that are more cost-effective compared to traditional methods.
  • Most research has focused on improving algorithms, but there’s a lack of understanding about how tissue preparation and imaging quality impact model training, which is crucial for clinical use.
  • A new enhanced tissue processing and imaging protocol was developed to improve model performance in predicting gene expression, showing promising results when compared to traditional methods using a study involving colorectal cancer patients.
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Purpose: Mesenchymal neoplasms composed of vascular, smooth muscle, and adipocytic components are uncommon in the nasal cavity. While angioleiomyoma (AL) is a smooth muscle tumor in the Head & Neck WHO classification, it is considered of pericytic origin in the Skin as well as Soft Tissue and Bone classifications. For nasal AL with an adipocytic component, the terms AL with adipocytic differentiation and angiomyolipoma (AML) have been applied, among others.

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  • * A pilot program was launched where pharmacists reviewed genetic test results, provided drug-dosing advice, and documented interactions in patient records, which were shared with oncologists.
  • * Results showed that out of 71 patients, 21 had actionable genetic variants, leading to dose changes in five patients, demonstrating the potential of pharmacist involvement in personalized medicine.
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Nearly all cervical cancers are caused by persistent high-risk human papillomavirus (hrHPV) infection. There are 14 recognized hrHPV genotypes (HPV 16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, and 68), and hrHPV genotypes 16 and 18 comprise approximately 66% of all cases worldwide. An additional 15% of cervical cancers are caused by hrHPV genotypes 31, 33, 45, 52, and 58.

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Context.—: Detecting copy number variations (CNVs) at certain loci can aid in the diagnosis of histologically ambiguous melanocytic neoplasms. Droplet digital polymerase chain reaction (ddPCR) is a rapid, automated, and inexpensive method for CNV detection in other cancers, but not yet melanoma.

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Next-generation sequencing-based genomic testing is standard of care for tumor workflows. However, its application across different institutions continues to be challenging given the diversity of needs and resource availability among different institutions globally. Moreover, the use of a variety of different panels, including those from a few individual genes to those involving hundreds of genes, results in a relatively skewed distribution of care for patients.

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Wastewaterbased epidemiology (WBE) can be used to monitor the community presence of infectious disease pathogens of public health concern such as the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Viral nucleic acid has been detected in the stool of SARS-CoV-2-infected individuals. Asymptomatic SARS-CoV-2 infections make community monitoring difficult without extensive and continuous population screening.

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Lipidome perturbation occurring during meta-inflammation is associated to left ventricle (LV) remodeling though the activation of the NLRP3 inflammasome, a key regulator of chronic inflammation in obesity-related disorders. Little is known about phosphatidylcholine (PC) and phosphatidylethanolamine (PE) as DAMP-induced NLRP3 inflammasome. Our study is aimed to evaluate if a systemic reduction of PC/PE molar ratio can affect NLRP3 plasma levels in cardiovascular disease (CVD) patients with insulin resistance (IR) risk.

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"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.

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Article Synopsis
  • Spatial transcriptomics technologies are revolutionizing research by enabling the study of cellular and molecular dynamics within tissues, enhancing our understanding of development, disease, and tumor environments.
  • Photoaging, caused by sun exposure, affects skin health and is linked to skin cancer, and spatial transcriptomics can provide a reliable method for evaluating its impact and developing new treatments.
  • Despite challenges like high costs and patient variability in current technologies, using routine H&E-stained slides in combination with spatial transcriptomics can help analyze gene expression in skin specimens, potentially revealing valuable insights into photoaging and therapeutic efficacy.
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  • Deep learning methods applied to spatial transcriptomics help uncover relationships between gene expression and tissue architecture, especially in diseases, but face challenges due to variability in tissue preparation and small study cohorts.
  • This research explores an improved tissue processing workflow using the Visium CytAssist assay to automate staining and optimize imaging, enabling better spatial transcriptomics profiling.
  • Results show that the enhanced workflow significantly improves the performance of deep learning models in predicting gene expression compared to traditional manual methods.
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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.

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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).

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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. We searched our database (2010-2020) for diagnostically challenging mesenchymal neoplasms.

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