Reduction in ACE2 expression in peripheral blood mononuclear cells during COVID-19 - implications for post COVID-19 conditions.

BACKGROUND: Severe COVID-19 is uncommon, restricted to 19% of the total population. In response to the first virus wave (alpha variant of SARS-CoV-2), we investigated whether a biomarker indicated severity of disease and, in particular, if variable expression of angiotensin converting enzyme 2 (ACE2) in blood might clarify this difference in risk and of post COVID -19 conditions (PCC). METHODS: The IRB-approved study compared patients hospitalized with severe COVID-19 to healthy controls. Severe infection was defined requiring oxygen or increased oxygen need from baseline at admission with positive COVID-19 PCR. A single blood sample was obtained from patients within a day of admission. ACE2 RNA expression in blood cells was measured by an RT-PCR assay. Plasma ACE1 and ACE2 enzyme activities were quantified by fluorescent peptides. Plasma TIMP-1, PIIINP and MMP-9 antigens were quantified by ELISA. Data were entered into REDCap and analyzed using STATA v 14 and GraphPad Prism v 10. RESULTS: Forty-eight patients and 72 healthy controls were recruited during the pandemic. ACE2 RNA expression in peripheral blood mononuclear cells (PBMC) was rarely detected acutely during severe COVID-19 but common in controls (OR for undetected ACE2: 12.4 [95% CI: 2.62-76.1]). ACE2 RNA expression in PBMC did not determine plasma ACE1 and ACE2 activity, suggesting alternative cell-signaling pathways. Markers of fibrosis (TIMP-1 and PIIINP) and vasculopathy (MMP-9) were additionally elevated. ACE2 RNA expression during severe COVID-19 often responded within hours to convalescent plasma. Analogous to oncogenesis, we speculate that potent, persistent, cryptic processes following COVID-19 (the renin-angiotensin system (RAS), fibrosis and vasculopathy) initiate or promote post-COVID-19 conditions (PCC) in susceptible individuals. CONCLUSIONS: This work elucidates biological and temporal plausibility for ACE2, TIMP1, PIIINP and MMP-9 in the pathogenesis of PCC. Intersection of these independent systems is uncommon and may in part explain the rarity of PCC.

Myotonic dystrophy type 1 testing, 2024 revision: A technical standard of the American College of Medical Genetics and Genomics (ACMG).

Myotonic dystrophy type 1 (DM1) is a form of muscular dystrophy causing progressive muscle loss and weakness. Although clinical features can manifest at any age, it is the most common form of muscular dystrophy with onset in adulthood. DM1 is an autosomal dominant condition, resulting from an unstable CTG expansion in the 3'-untranslated region of the myotonic dystrophy protein kinase (DMPK) gene. The age of onset and the severity of the phenotype are roughly correlated with the size of the CTG expansion. Multiple methodologies can be used to diagnose affected individuals with DM1, including polymerase chain reaction, Southern blot, and triplet repeat-primed polymerase chain reaction. Recently, triplet repeat interruptions have been described, which may affect clinical outcomes of a fully-variable allele in DMPK. This document supersedes the Technical Standards and Guidelines for Myotonic Dystrophy originally published in 2009 and reaffirmed in 2015. It is designed for genetic testing professionals who are already familiar with the disease and the methods of analysis.

Laboratory testing for preconception/prenatal carrier screening: A technical standard of the American College of Medical Genetics and Genomics (ACMG).

Carrier screening has historically assessed a relatively small number of autosomal recessive and X-linked conditions selected based on frequency in a specific subpopulation and association with severe morbidity or mortality. Advances in genomic technologies enable simultaneous screening of individuals for several conditions. The American College of Medical Genetics and Genomics recently published a clinical practice resource that presents a framework when offering screening for autosomal recessive and X-linked conditions during pregnancy and preconception and recommends a tier-based approach when considering the number of conditions to screen for and their frequency within the US population in general. This laboratory technical standard aims to complement the practice resource and to put forth considerations for clinical laboratories and clinicians who offer preconception/prenatal carrier screening.

Methylation signatures as biomarkers for non-invasive early detection of breast cancer: A systematic review of the literature.

BACKGROUND: Early detection of breast cancer would help alleviate the burden of treatment for early-stage breast cancer and help patient prognosis. There is currently no established gene panel that utilizes the potential of DNA methylation as a molecular signature for the early detection of breast cancer. This systematic review aims to identify the optimal methylation biomarkers for a non-invasive liquid biopsy assay and the gaps in knowledge regarding biomarkers for early detection of breast cancer. METHODS: Following the PRISMA-ScR method, Pubmed and Google Scholar was searched for publications related to methylation biomarkers in breast cancer over a five-year period. Eligible publications were mined for key data fields such as study aims, cohort demographics, types of breast cancer studied, technologies used, and outcomes. Data was analyzed to address the objectives of the review. RESULTS: Literature search identified 112 studies of which based on eligibility criteria, 13 studies were included. 28 potential methylation gene targets were identified, of which 23 were methylated at the promoter region, 1 was methylated in the body of the gene and 4 were methylated at yet to be identified locations. CONCLUSIONS: Our evaluation shows that at minimum APC, RASSFI, and FOXA1 genes would be a promising set of genes to start with for the early detection of breast cancer, based on the sensitivity and specificity outlined in the studies. Prospective studies are needed to optimize biomarkers for broader impact in early detection of breast cancer.

Evaluating direct amplification from viral transport medium for SARS-CoV-2 detection, strain typing, and angiotensin-converting enzyme genotyping and expression assays.

OBJECTIVE: The aim of this study was to compare the performance of direct amplification of viral nucleic acid from transport medium to extracted nucleic acid for polymerase chain reaction (PCR), sequencing, and genotyping applications. METHODS: XpressAmp lysate and extracted total nucleic acid from viral transport medium containing nasopharyngeal specimens were evaluated across different molecular applications to determine performance characteristics. RESULTS: SARS-CoV-2 quantitative PCR and angiotensin-converting enzyme (ACE) genotyping assays worked well with XpressAmp lysate, almost equal with or better than extracted nucleic acid in some specimens. However, XpressAmp completely failed to perform in next-generation sequencing for strain typing. Both protocols failed to detect ACE2 expression in viral transport medium. CONCLUSION: Direct amplification of viral nucleic acid from viral transport medium containing nasopharyngeal specimen works well for molecular assays with low thresholds of quality; however, it does have limitations with assays that require high quality nucleic acid for input. Use of the XpressAmp protocol significantly improves turnaround time and allows for easy ramp-up of PCR and genotyping assays.

Implementation of a Customized Tertiary Analysis Platform for the Reporting of Somatic Variants.

Precision medicine for oncology requires the evaluation of variants identified in molecular profiling of solid tumors and hematologic malignancies. This includes evaluation of pre-analytical and postanalytical quality metrics, variant interpretation, classification, and tiering as outlined in established guidelines, association with clinical significance such as FDA approved drugs and clinical trials, and finally comprehensive reporting. This study documents our experience with the customization and implementation of a software platform that facilitates these requirements for effective reporting of somatic variants.

Feasibility and value of genomic profiling in cancer of unknown primary: real-world evidence from prospective profiling study.

Real-world evidence regarding the value of integrating genomic profiling (GP) in managing cancer of unknown primary (CUP) is limited. We assessed this clinical utility using a prospective trial of 158 patients with CUP (October 2016-September 2019) who underwent GP using next-generation sequencing designed to identify genomic alterations (GAs). Only 61 (38.6%) patients had sufficient tissue for successful profiling. GAs were seen in 55 (90.2%) patients of which GAs with US Food and Drug Administration-approved genomically matched therapy were seen in 25 (40.9%) patients. A change in therapy was recommended and implemented (primary endpoint of the study) in 16 (10.1%) and 4 (2.5%) patients of the entire study cohort, respectively. The most common reason for inability to implement the profiling-guided therapy was worsening of performance status (56.3%). Integrating GP in management of CUP is feasible but challenging because of paucity of tissue and aggressive natural history of the disease and requires innovative precision strategies.

The Maine Cancer Genomics Initiative: Implementing a Community Cancer Genomics Program Across an Entire Rural State.

PURPOSE: The Maine Cancer Genomics Initiative (MCGI) aimed to overcome patient- and provider-level barriers to using genomic tumor testing (GTT) in rural practices by providing genomic tumor boards (GTBs), clinician education, and access to comprehensive large-panel next-generation sequencing to all patients with cancer in Maine. This paper describes the successful implementation of the initiative and three key services made operative between 2016 and 2020. METHODS: A community-inclusive, hub-and-spoke approach was taken to implement the three program components: (1) a centralized GTB program; (2) a modular online education program, designed using an iterative approach with broad clinical stakeholders; and (3) GTT free of charge to clinicians and patients. Implementation timelines, participation metrics, and survey data were used to describe the rollout. RESULTS: The MCGI was launched over an 18-month period at all 19 oncology practices in the State. Seventy-nine physicians (66 medical oncologists, 5 gynecologic oncologists, 1 neuro-oncologist, and 7 pediatric oncologists) enrolled on the study, representing 100% of all practicing oncologists in Maine. Between July 2017 and September 2020, 1610 patients were enrolled. A total of 515 cases were discussed by 47 (73%) clinicians in 196 GTBs. Clinicians who participated in the GTBs enrolled significantly more patients on the study, stayed in Maine, and reported less time spent in clinical patient care. CONCLUSION: The MCGI was able to engage geographically and culturally disparate cancer care practices in a precision oncology program using a hub-and-spoke model. By facilitating access to GTT, structured education, and GTBs, we narrowed the gap in the implementation of precision oncology in one of the most rural states in the country.

The 2019 medical genetics workforce: A focus on laboratory geneticists.

PURPOSE: The aim of this report is to inform the genetics and genomics field about the results of a 2019 workforce survey of US laboratory geneticists. METHODS: The American Board of Medical Genetics and Genomics distributed an electronic survey to board-certified/eligible diplomates in 2019. Analysis of the responses was performed by the American College of Medical Genetics and Genomics. RESULTS: A total of 422 individuals identified as laboratory geneticists. The respondents represent the range of possible certifications. Nearly one-third were Clinical Cytogenetics and Genomics diplomates, another third were Molecular Genetics and Genomics diplomates, and the others were Clinical Biochemical Genetics diplomates or held a combination of certificates. The majority of laboratory geneticists are PhDs. The others were physicians or other degree combinations. Most laboratory geneticists work in academic medical centers or commercial laboratories. Most respondents identified as females and White. The median age was 53 years. A third of the respondents have been in the profession for 21+ years and plan to reduce hours or retire in the next 5 years. CONCLUSION: The genetics field needs to foster the next generation of laboratory geneticists to meet the increasing complexity and demand for genetic testing.

Analytical validation and implementation of a pan cancer next-generation sequencing panel, CANSeqTMKids for molecular profiling of childhood malignancies.

Next-Generation Sequencing (NGS) allows rapid analysis of multiple genes for the detection of clinically actionable variants. This study reports the analytical validation of a targeted pan cancer NGS panel CANSeqTMKids for molecular profiling of childhood malignancies. Analytical validation included DNA and RNA extracted from de-identified clinical specimens including formalin fixed paraffin embedded (FFPE) tissue, bone marrow and whole blood as well as commercially available reference materials. The DNA component of the panel evaluates 130 genes for the detection of single nucleotide variants (SNVs), Insertion and Deletions (INDELs), and 91 genes for fusion variants associated with childhood malignancies. Conditions were optimized to use as low as 20% neoplastic content with 5 ng of nucleic acid input. Evaluation of the data determined greater than 99% accuracy, sensitivity, repeatability, and reproducibility. The limit of detection was established to be 5% allele fraction for SNVs and INDELs, 5 copies for gene amplifications and 1,100 reads for gene fusions. Assay efficiency was improved by automation of library preparation. In conclusion, the CANSeqTMKids allows for the comprehensive molecular profiling of childhood malignancies from different specimen sources with high quality and fast turnaround time.

A novel variant of TNNC1 associated with severe dilated cardiomyopathy causing infant mortality and stillbirth: a case of germline mosaicism.

Pediatric cardiomyopathies (CM) are rare and challenging to diagnose due to the complex and mixed phenotypes. With the advent of next-generation sequencing (NGS), variants in several genes associated with CM have been identified, such as Troponin C (TnC), encoded by the TNNC1 gene. De novo variants in TNNC1 have been associated with different types of CM, including dilated cardiomyopathy (DCM) and hypertrophic cardiomyopathy (HCM). The American College of Medical Genetics and Genomics recently added TNNC1 to their recommended list of genes for reporting secondary findings. In this study, we report a de novo variant, c.100G>C (p.Gly34Arg) in the TNNC1 gene identified in three siblings with a diagnosis of severe DCM causing infant death for one of the siblings and stillbirth in the other two pregnancies. The identification of the same de novo variant in all affected siblings is suggestive of germline mosaicism in this family.

Implementation of an Active Screening Program for SARS-CoV2 - Experience at an Academic Medical Center.

BACKGROUND: This study documents the experience of an academic medical center implementing SARS-CoV2 screening of asymptomatic research personnel to support the "return-to-work" initiative and donor cadavers to support in-person student education. METHODS: Testing was performed on samples received June 1, 2020 (for the cadaver program) and July 20, 2020 (for the personnel screening program) through September 30, 2021. Data were evaluated to document the number of cases and the positivity rate. RESULTS: Approximately 3000 specimens were tested across both programs, with an overall positivity rate of 2.5% and 3.6% in the personnel and cadaver screening programs, respectively. DISCUSSION: This screening program serves as an example of institutional investment in the safety of its faculty, staff, and students alike to address specific needs of a global pandemic.

Long-term retinal imaging of a case of suspected congenital rubella infection.

PURPOSE: Many retinal disorders present with pigmentary retinopathy, most of which are progressive conditions. Here we present over nine years of follow up on a case of stable pigmentary retinopathy that is suspected to stem from a congenital rubella infection. Parafoveal cone photoreceptors were tracked through this period to gain insight into photoreceptor disruption in this pigmentary retinopathy. METHODS: The patient was examined at 8 visits spanning a total of 111 months. Examination at baseline included clinical fundus examination, full-field electroretinography (ERG), kinetic visual field assessment (Goldmann), and best corrected visual acuity; all of these except ERG were repeated at follow up visits. Imaging was performed with fundus photography, spectral-domain optical coherence tomography (SD-OCT) and confocal adaptive optics scanning light ophthalmoscopy (AOSLO). For the latter four time points AOSLO imaging also included split-detector imaging. RESULTS: There were no defects in hearing or cardiac health found in this patient. There were minimal visual deficits found at baseline, with mild rod suppression on ERG; best corrected visual acuity was 20/25 OD and 20/20 OS at baseline, which was stable throughout the follow-up period. Retinal thickness as measured by OCT was within the normal range, though foveal hypoplasia was present and outer nuclear layer thickness was slightly below the normal range at all time points. Cone density was relatively stable throughout the follow-up period. A number of cones were non-reflective when observed with confocal AOSLO imaging and density was markedly lower than expected values (foveal cone density was 43,782 cones/mm2 on average). Genetic analysis revealed no causative variations explaining the phenotype. CONCLUSIONS AND IMPORTANCE: This patient appears to have a stable pigmentary retinopathy. This case is likely due to a congenital insult, rather than progressive retinal disease. This finding of stability agrees with other reports of rubella pigmentary retinopathy. Imaging with AOSLO enabled observation of two notable phenotypic features. First is the observation of dark cones, which are seen in many retinal disorders including color vision defects and degenerative retinal disease. Second, the cone density is well below what is expected - this is especially interesting as this patient has near-normal visual acuity despite this greatly decreased number of normally-waveguiding cones in the fovea.

RNA-Seq for the detection of gene fusions in solid tumors: development and validation of the JAX FusionSeq™ 2.0 assay.

Whole transcriptome sequencing (RNA-Seq) has gained prominence for the detection of fusions in solid tumors. Here, we describe the development and validation of an in-house RNA-Seq-based test system (FusionSeq™ 2.0) for the detection of clinically actionable gene fusions, in formalin-fixed paraffin-embedded (FFPE) specimens, using seventy tumor samples with varying fusion status. Conditions were optimized for RNA input of 50 ng, shown to be adequate to call known fusions at as low as 20% neoplastic content. Evaluation of assay performance between FFPE and fresh-frozen (FF) tissues exhibited little to no difference in fusion calling capability. Performance analysis of the assay validation data determined 100% accuracy, sensitivity, specificity, and reproducibility. This clinically developed and validated RNA-Seq-based approach for fusion detection in FPPE samples was shown to be on par if not superior to off-the-shelf commercially offered assays. With gene fusions implicated in a variety of cancer types, offering high-quality, low-cost molecular testing services for FFPE specimens will serve to best benefit the patient and the advancement of precision medicine in molecular oncology. KEY MESSAGES: A custom RNA-Seq-based test system (FusionSeq™ 2.0) for the detection of clinically actionable gene fusions, Evaluation of assay performance between FFPE and fresh-frozen (FF) tissues exhibited little to no difference in fusion calling capability. The assay can be performed with low RNA input and neoplastic content. Performance characteristics of the assay validation data determined 100% accuracy, sensitivity, specificity, and reproducibility.