By the time you get to this chapter in this book, assuming you are reading the book in sequence, it should be clear that the tools of molecular biology have broad diagnostic applications within the clinical pathology laboratory. Furthermore, the methodology of molecular biology is also of paramount importance in the decidedly nondiagnostic field of gene therapy. This chapter describes some of the practical issues of quality control (QC) associated with generating accurate laboratory results.
Four severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants predominated in the United States since 2021. Understanding disease severity related to different SARS-CoV-2 variants remains limited.Viral genome analysis was performed on SARS-CoV-2 clinical isolates circulating March 2021 through March 2022 in Cleveland, Ohio. Major variants were correlated with disease severity and patient outcomes.In total 2779 patients identified with either Alpha (n 1153), Gamma (n 122), Delta (n 808), or Omicron variants (n 696) were selected for analysis. No difference in frequency of hospitalization, intensive care unit (ICU) admission, and death were found among Alpha, Gamma, and Delta variants. However, patients with Omicron infection were significantly less likely to be admitted to the hospital, require oxygen, or admission to the ICU (2 12.8, P .001; 2 21.6, P .002; 2 9.6, P .01, respectively). In patients whose vaccination status was known, a substantial number had breakthrough infections with Delta or Omicron variants (218/808 [26.9] and 513/696 [73.7], respectively). In breakthrough infections, hospitalization rate was similar regardless of variant by multivariate analysis. No difference in disease severity was identified between Omicron subvariants BA.1 and BA.2.Disease severity associated with Alpha, Gamma, and Delta variants is comparable while Omicron infections are significantly less severe. Breakthrough disease is significantly more common in patients with Omicron infection.
Abstract Background Our understanding of SARS-CoV-2 evolution is limited. Most estimates arise from analysis of global databases populated with unrelated sequences and is currently estimated at ∼27.7 substitutions/genome/year. SARS-CoV-2 polymerase contains a proofreading function encoded by NSP-14 limiting change. Additionally, virus evolution may be influenced by patient comorbidity. Intra-host mutational rate (MR) during infection remain poorly studied. Methods To minimize effect of vaccination and/or natural immunity on MR analysis, paired samples from adults originating from the initial pandemic wave (3/17/2020 through 5/27/2020) were retrieved and analyzed at Cleveland Clinic. Viral genome analysis was performed using next generation sequencing, and mutations between paired samples were quantified at allele frequencies (AF) ≥ 0.1, ≥ 0.5 and ≥ 0.75 and compared. MR was calculated employing F81 and JC69 evolution models and compared between isolates with (Δ NSP-14) and without (wildtype, wt) non-synonymous mutations in NSP-14 and by comorbidity. Results A total of 40 patients (80 sample pairs) were identified. Median interval between paired tests was 15 days [range 5-32]. The estimated MR by F81 modeling was 317.2 (95%CI 312.0-322.3), 54.6 (95%CI 52.5-56.7) and 45.1 (95%CI 43.1-47.0) substitutions/genome/year at AF of ≥0.1, ≥0.5, ≥0.75 respectively. Rates in ΔNSP-14 (n=13) vs wt (n=27) groups were 557.7 (95%CI 537.0-578.2) vs 193.1 (95%CI 187.1-199.1) p-value 0.001, 50.8 (95%CI 44.3-57.3) vs 56.3 (95%CI 53.1-59.4) p-value 0.144, and 31.0 (95%CI 25.9-36.1) vs 51.3 (95%CI 48.3-54.3) p- value < 0.001 at AF ≥0.1, ≥0.5, ≥0.75 respectively. Patients with immune comorbidities (n=6) had significantly higher MR of 137.6 (95%CI 114.6-160.5) vs 40.5 (95%CI 38.4-42.7) p-value < 0.001, and 113.7 (95%CI 92.8-134.5) vs 33.4 (95%CI 31.5-35.4) p-value < 0.001 at AF ≥0.5 and ≥0.75 respectively. Similar results were obtained when using the JC69 model. Conclusion Intra-host SARS-CoV-2 mutation rates are higher than those reported through population analysis. Virus strains with altered NSP-14 have accelerated MR at low AF. Immunosuppressed patients have elevated MR at higher AF. Understanding intra-host virus evolution will aid in current and future pandemic modeling. Disclosures Frank Esper, M.D, Johnson and Johnson: Advisor/Consultant Daniel D. Rhoads, M.D. PhD, Luminex: Advisor/Consultant|Talis Biomedical: Advisor/Consultant|Thermo Fisher: Advisor/Consultant.
Abstract Context.—Bioelectronic sensors, which combine microchip and biological components, are an emerging technology in clinical diagnostic testing. An electronic detection platform using DNA biochip technology (eSensor) is under development for molecular diagnostic applications. Owing to the novelty of these devices, demonstrations of their successful use in practical diagnostic applications are limited. Objective.—To assess the performance of the eSensor bioelectronic method in the validation of 6 Epstein-Barr virus–transformed blood lymphocyte cell lines with clinically important mutations for use as sources of genetic material for positive controls in clinical molecular genetic testing. Two cell lines carry mutations in the CFTR gene (cystic fibrosis), and 4 carry mutations in the HFE gene (hereditary hemochromatosis). Design.—Samples from each cell line were sent for genotype determination to 6 different molecular genetic testing facilities, including the laboratory developing the DNA biochips. In addition to the bioelectronic method, at least 3 different molecular diagnostic methods were used in the analysis of each cell line. Detailed data were collected from the DNA biochip output, and the genetic results were compared with those obtained using the more established methods. Results.—We report the successful use of 2 applications of the bioelectronic platform, one for detection of CFTR mutations and the other for detection of HFE mutations. In all cases, the results obtained with the DNA biochip were in concordance with those reported for the other methods. Electronic signal output from the DNA biochips clearly differentiated between mutated and wild-type alleles. This is the first report of the use of the cystic fibrosis detection platform. Conclusions.—Bioelectronic sensors for the detection of disease-causing mutations performed well when used in a “real-life” situation, in this case, a validation study of positive control blood lymphocyte cell lines with mutations of public health importance. This study illustrates the practical potential of emerging bioelectronic DNA detection technologies for use in current molecular diagnostic applications.
Treatment of metastatic melanoma includes the option of targeted therapy in patients with driver BRAF mutations. BRAF-MEK inhibitor drugs improve survival in the approximately 50% of patients with melanoma that harbor BRAF mutations. As BRAF mutation detection in tissue often takes days to weeks, it is not always possible or timely to obtain BRAF status in tissue using immunohistochemistry or next generation sequencing. Plasma-derived circulating tumor DNA (ctDNA) is a potential alternative analyte in such treatment settings. We present a case of metastatic melanoma that was treated in an emergent setting using therapy supported by rapid PCR-based detection of ctDNA positive for a BRAF V600 mutation. In this rapidly deteriorating 53-year-old male with diffuse melanoma metastases and unknown BRAF mutation status requiring hospital admission, a plasma-based BRAF mutation detection supported treatment with targeted therapy, dabrafenib and trametinib. Same-day initiation of therapy resulted in swift amelioration allowing discharge within a week, followed by substantial clinical improvement over the following weeks. In cases requiring urgent clinical decision making, a plasma-based, near point-of-care detection system is useful in supporting targeted therapy decisions without the need for invasive and time-consuming biopsy.
Abstract In this paper, we report the autopsy findings of a 42-year-old White male who was found deceased at his home by his brother in the early morning hours with a history of excessive alcohol consumption 1 day before his death. A medical record review revealed chronic alcohol use with alcohol dependence syndrome, hypertension, and cardiac arrhythmias by electrocardiogram 2 years prior. External examination revealed only a single bruise on the forehead. Internal examination revealed changes associated with chronic alcohol abuse and mild atherosclerosis. The lack of a cause of death at autopsy resulted in a dissection of the cardiac conduction system and the detection of a small cystic lesion at the atrioventricular node region. Microscopic examination revealed a cystic tumor of the atrioventricular node and fibromuscular dysplasia of the coronary artery branches near the sinoatrial and atrioventricular nodes. Based on the case history and autopsy findings, death was attributed to a fatal cardiac arrhythmia due to cystic tumor of the atrioventricular node with fibromuscular dysplasia of the coronary artery branches near the sinoatrial and atrioventricular nodes a possible contributing factor.
Abstract Context.—A specific mutation, JAK2V617F, was recently recognized as having diagnostic value for myeloproliferative disorders. No practical assay is currently available for routine use in a clinical laboratory. Objective.—We report the development of a real-time polymerase chain reaction melting curve analysis assay that is appropriate for molecular diagnostics testing. Design.—Specific primers and fluorescence resonance energy transfer probes were designed, and patients with a previously diagnosed myeloproliferative disorder, de novo acute myeloid leukemia, or reactive condition were selected. The DNA was extracted from fresh and archived peripheral blood and bone marrow specimens, and real-time polymerase chain reaction melting curve analysis was performed on the LightCycler platform (Roche Applied Science, Indianapolis, Ind). Results.—The JAK2 region was successfully amplified, and wild-type amplicons were reproducibly discriminated from JAK2V617F amplicons. Titration studies using homozygous wild-type and mutant cell lines showed the relative areas under a melting curve were proportional to allele proportion, and the assay reliably detected one mutant in 20 total cells. JAK2V617F was identified in patients previously diagnosed with a myeloproliferative disorder or acute myeloid leukemia transformed from myeloproliferative disorder, whereas a wild-type genotype was identified in patients with reactive conditions or de novo acute myeloid leukemia. Conclusions.—These findings demonstrate the suitability of this assay for identifying JAK2V617F in a clinical laboratory setting. Furthermore, the semiquantitative detection of JAK2V617F in archived specimens provides a new tool for studying the prognostic significance of this mutation.
The success of the newest discipline in the diagnostic clinical pathology laboratory, molecular pathology, is dependent on proper collection and storage of both the original and processed (nucleic acid) specimen. This issue will grow in importance as test volumes increase in the diagnostic molecular pathology laboratory. This review is a distillation of a literature review by the Patient Preparation and Specimen Handling Committee of the College of American Pathologists. It describes specific collection, storage, and anticoagulant or preservative requirements based on the diagnostic molecular technique and/or specimen type used for analysis. This review serves as a guide for clinical laboratories interested in appropriate collection and storage of specimens to be used in nucleic acid-based analysis.
