Considerations for Severe Acute Respiratory Syndrome Coronavirus 2 Genomic Surveillance: A Joint Consensus Recommendation of the Association for Molecular Pathology and Association of Public Health Laboratories.

Next-generation sequencing (NGS) has applications in research, epidemiology, oncology, and infectious disease diagnostics. Wide variability exists in NGS wet laboratory techniques and dry laboratory analytical considerations. Thus, many questions remain unanswered when NGS methods are implemented in laboratories for infectious disease testing. Although this review is not intended to answer all questions, the most pressing questions from a public health and clinical hospital-based laboratory perspective will be addressed. The authors of this review are laboratory professionals who perform and interpret severe acute respiratory syndrome coronavirus 2 NGS results. Considerations for pre-analytical, analytical, and postanalytical NGS will be explored. This review highlights challenges for molecular laboratory professionals considering adopting or expanding NGS methods.

Performance evaluation of the high-throughput quantitative Alinity m BK virus assay.

BK virus (BKV) infection or reactivation in immunocompromised individuals can lead to adverse health consequences including BKV-associated nephropathy (BKVAN) in kidney transplant patients and BKV-associated hemorrhagic cystitis (BKV-HC) in allogeneic hematopoietic stem cell transplant recipients. Monitoring BKV viral load plays an important role in post-transplant patient care. This study evaluates the performance of the Alinity m BKV Investigational Use Only (IUO) assay. The linearity of the Alinity m BKV IUO assay had a correlation coefficient of 1.000 and precision of SD ≤ 0.25 Log IU/mL for all panel members tested (2.0-7.3 Log IU/mL). Detection rate at 50 IU/mL was 100%. Clinical plasma specimens tested comparing Alinity m BKV IUO to ELITech MGB Alert BKV lab-developed test (LDT) on the Abbott m2000 platform using specimen extraction protocols for DNA or total nucleic acid (TNA) resulted in coefficient of correlation of 0.900 and 0.963, respectively, and mean bias of 0.03 and -0.54 Log IU/mL, respectively. Alinity m BKV IUO compared with Altona RealStar BKV and Roche cobas BKV assays demonstrated coefficient of correlation of 0.941 and 0.980, respectively, and mean bias of -0.47 and -0.31 Log IU/mL, respectively. Urine specimens tested on Alintiy m BKV IUO and ELITech BKV LDT using TNA specimen extraction had a coefficient of correlation of 0.917 and mean bias of 0.29 Log IU/mL. The Alinity m BKV IUO assay was performed with high precision across the dynamic range and correlated well with other available BKV assays. IMPORTANCE: BK virus (BKV) in transplant patients can lead to adverse health consequences. Viral load monitoring is important in post-transplant patient care. This study evaluates the Alinity m BKV assay with currently available assays.

Establishing an infrastructure to optimize the integration of genomics into research: Results from a precision health needs assessment.

Researchers across the translational research continuum have emphasized the importance of integrating genomics into their research program. To date capacity and resources for genomics research have been limited; however, a recent population-wide genomic screening initiative launched at the Medical University of South Carolina in partnership with Helix has rapidly advanced the need to develop appropriate infrastructure for genomics research at our institution. We conducted a survey with researchers from across our institution (n = 36) to assess current knowledge about genomics health, barriers, and facilitators to uptake, and next steps to support translational research using genomics. We also completed 30-minute qualitative interviews with providers and researchers from diverse specialties (n = 8). Quantitative data were analyzed using descriptive analyses. A rapid assessment process was used to develop a preliminary understanding of each interviewee's perspective. These interviews were transcribed and coded to extract themes. The codes included types of research, alignment with precision health, opportunities to incorporate precision health, examples of researchers in the field, barriers, and facilitators to uptake, educational activity suggestions, questions to be answered, and other observations. Themes from the surveys and interviews inform implementation strategies that are applicable not only to our institution, but also to other organizations interested in making genomic data available to researchers to support genomics-informed translational research.

Researchers have recognized the significance of integrating genomics into their studies across the translational research continuum. However, limited capacity and resources have hindered progress in genomics research. We conducted a survey and qualitative interviews with researchers and healthcare providers from our institution to assess their understanding of genomics in health, identify barriers, and facilitators to its adoption, and determine next steps for supporting translational research using genomics. Themes identified included different types of research, alignment with precision health, opportunities to incorporate precision health, examples of researchers in the field, barriers, and facilitators to adoption, educational recommendations, unanswered questions, and other valuable observations. The insights gathered from the surveys and interviews informed the development of implementation strategies. These strategies can benefit not only our institution but also other researchers who are interested in providing access to genomic data to support genomics-informed translational research.

The diversification of SARS-CoV-2 Omicron variants and evaluation of their detection with molecular and rapid antigen assays.

BACKGROUND: The SARS-CoV-2 pandemic saw the rapid rise, global spread, and diversification of the omicron variant in 2022. Given the overwhelming dominance of this variant globally and its diverse lineages, there is an urgent need to ensure that diagnostic assays are capable of detecting widely circulating omicron sub-lineages. STUDY DESIGN: Remnant clinical VTM samples from SARS-CoV-2 PCR confirmed infections (n = 733) collected in Wisconsin (n = 94), New York (n = 267), and South Carolina (n = 372) throughout 2022 were sequenced, classified, and tested with m2000 RealTime SARS-CoV-2, Alinity m SARS-CoV-2, ID NOW COVID-19 v2.0, BinaxNOW COVID-19 Ag Card, and Panbio COVID-19 Rapid Test Device assays. RESULTS: Sequences and lineage classifications were obtained for n = 641/733 (87.4%) samples and included delta (n = 6) and representatives from all major SARS-CoV-2 omicron variants circulating in 2022 (BA.1, BA.2, BA.3, BA.4, BA.5, BE, BF, BQ.1, and XBB). Panels of diverse omicron lineages were tested by molecular assays RealTime (n = 624), Alinity m (n = 80), and ID NOW v2.0 (n = 88) with results showing 100% detection for all samples. BinaxNOW and Panbio had sensitivities of 494/533 (92.7%) and 416/469 (88.7%), respectively for specimens with >4 log10 copies/test, consistent with expected performance for frozen specimens. Furthermore, BinaxNOW demonstrated SARS-CoV-2 detection in clinical samples 1-4 days, and up to 18 days post-symptom onset in BA.1 infected patients with >4 log10 copies/test. CONCLUSIONS: This data highlights the rise and diversification of SARS-CoV-2 omicron variants over the course of 2022 and demonstrate that each of the 5 tested assays can detect the breadth of omicron variants circulating globally.

Managing a PCR Contamination Event in a Molecular Pathology Laboratory.

Contamination in a molecular laboratory may lead to erroneous results with potential to cause patient harm if not promptly identified and corrected. A general overview of the practices used in molecular laboratories to identify and address contamination once an event has occurred is discussed. The process used to assess the risk associated with the identified contamination event, determine the appropriate course of immediate action, perform a root cause analysis to determine the source of contamination, and assess and document the results of the decontamination process will be reviewed. Finally, the chapter will discuss a return to normal with consideration of appropriate corrective actions to mitigate future contamination events.

SARS-CoV-2 Sequencing for Variant Surveillance.

In this chapter, next-generation sequencing of the entire viral genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is described. Successful sequencing of the SARS-CoV-2 virus is dependent upon quality of the specimen, adequate coverage of the entire genome, and up-to-date annotation. Some of the advantages of performing SARS-CoV-2 surveillance using next-generation sequencing are scalability, high-throughput, cost, and full genome analysis. Some of the disadvantages can be expensive instrumentation, large upfront reagent and supply costs, increased time-to-result, computational needs, and complicated bioinformatics. This chapter will provide an overview of a modified FDA Emergency Use Authorization procedure for the genomic sequencing of SARS-CoV-2. The procedure is also referred to as the research use only (RUO) version.

Detection of SARS-CoV-2 variants by Abbott molecular, antigen, and serological tests.

BACKGROUND: Viral diversity presents an ongoing challenge for diagnostic tests, which need to accurately detect all circulating variants. The Abbott Global Surveillance program monitors severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants and their impact on diagnostic test performance. OBJECTIVES: To evaluate the capacity of Abbott molecular, antigen, and serologic assays to detect circulating SARS-CoV-2 variants, including all current variants of concern (VOC): B.1.1.7 (alpha), B.1.351 (beta), P.1 (gamma) and B.1.617.2 (delta). STUDY DESIGN: Dilutions of variant virus cultures (B.1.1.7, B.1.351, B.1.429, B.1.526.1, B.1.526.2, B.1.617.1, B.1.617.2, P.1, R.1 and control isolate WA1) and a panel of N = 248 clinical samples from patients with sequence confirmed variant infections (B.1.1.7, B.1.351, B.1.427, B.1.429, B.1.526, B.1.526.1, B.1.526.2, P.1, P.2, R.1) were evaluated on at least one assay: Abbott ID NOW COVID-19, m2000 RealTime SARS-CoV-2, Alinity m SARS-CoV-2, and Alinity m Resp-4-Plex molecular assays; the BinaxNOW COVID-19 Ag Card and Panbio COVID-19 Ag Rapid Test Device; and the ARCHITECT/Alinity i SARS-CoV-2 IgG and AdviseDx IgM assays, Panbio COVID-19 IgG assay, and ARCHITECT/Alinity i AdviseDx SARS-CoV-2 IgG II assay. RESULTS: Consistent with in silico predictions, each molecular and antigen assay detected VOC virus cultures with equivalent sensitivity to the WA1 control strain. Notably, 100% of all tested variant patient specimens were detected by molecular assays (N = 197 m2000, N = 88 Alinity m, N = 99 ID NOW), and lateral flow assays had a sensitivity of >94% for specimens with genome equivalents (GE) per device above 4 log (85/88, Panbio; 54/57 Binax). Furthermore, Abbott antibody assays detected IgG and IgM in 94-100% of sera from immune competent B.1.1.7 patients 15-26 days after symptom onset. CONCLUSIONS: These data confirm variant detection for 11 SARS-CoV-2 assays, which is consistent with each assay target region being highly conserved. Importantly, alpha, beta, gamma, and delta VOCs were detected by molecular and antigen assays, indicating that these tests may be suitable for widescale use where VOCs predominate.

Electronic Health Records and Genomics: Perspectives from the Association for Molecular Pathology Electronic Health Record (EHR) Interoperability for Clinical Genomics Data Working Group.

The use of genomics in medicine is expanding rapidly, but information systems are lagging in their ability to support genomic workflows both from the laboratory and patient-facing provider perspective. The complexity of genomic data, the lack of needed data standards, and lack of genomic fluency and functionality as well as several other factors have contributed to the gaps between genomic data generation, interoperability, and utilization. These gaps are posing significant challenges to laboratory and pathology professionals, clinicians, and patients in the ability to generate, communicate, consume, and use genomic test results. The Association for Molecular Pathology Electronic Health Record Working Group was convened to assess the challenges and opportunities and to recommend solutions on ways to resolve current problems associated with the display and use of genomic data in electronic health records.

Verification and Validation of SARS-CoV-2 Assay Performance on the Abbott m2000 and Alinity m Systems.

We verified the analytical performance of the Abbott RealTime SARS-CoV-2 assay on the m2000 system and compared its clinical performance to the CDC 2019-nCoV real-time PCR diagnostic panel and the Thermo Fisher TaqPath RT-PCR COVID-19 kit. We also performed a bridging study comparing the RealTime SARS-CoV-2 assay with the new Abbott Alinity m SARS-CoV-2 assay. A number of standards, reference materials, and commercially available controls were used for the analytical verification to confirm the limit of detection, linearity, and reproducibility. We used nasopharyngeal (NP) swab specimens collected in saline for the clinical verification and bridging studies. Overall, we found 91.2% positive percent agreement (PPA; 95% confidence interval [CI] = 76.2 to 98.14%) and a 100% negative percent agreement (NPA; 95% CI = 97.97 to 100%) between the results of the RealTime SARS-CoV-2 and CDC tests with 217 NP specimens (P = 0.13). We found a PPA of 100% (95% CI = 90.26 to 100%) and an NPA of 95.15% (95% CI = 83.47 to 99.4%) between the results of the RealTime and TaqPath tests with 77 NP specimens (P = 0.24). Finally, we tested 203 NP swab specimens for SARS-CoV-2 on the m2000 on the Alinity m systems. The PPA and NPA were 92.2% (95% CI = 85.3 to 96.59%) and 92% (95% CI = 84.8 to 96.5%), respectively (P = 0.4). Although cycle number (Cn) values obtained for the concordant positive samples were highly correlated (R2 = 0.95), the Cn values were on average 14.14 higher on the Alinity m system due to the unread cycles with the RealTime SARS-CoV-2 assay.

Molecular profiling of vitreous fluid by massively parallel sequencing: a case series.

INTRODUCTION: In cases of suspected intraocular malignancy, vitreous may be the preferred pathologic sample; however, cellularity may be insufficient for definitive cytopathological diagnosis. Ancillary methodology to study vitreous fluid aspiration for mutational analysis may assist in treatment decisions. MATERIALS AND METHODS: Three individual patient vitreous humor samples were received in the laboratory for mutation testing. The samples were collected during standard of care and analyzed for routine cytopathology. In each case, cytopathology was inconclusive and mutational analyses to support diagnostic suspicions were clinically requested. Based on the clinically and pathologically suspected diagnoses, an appropriate massively parallel sequencing assay previously validated for clinical use was performed using DNA extracted from vitreous samples that had previously undergone various processing. Nucleic acid yield was assessed by fluorometric or spectrophotometric methods, with yield ranging from 2.7 to 86.5 ng. Library preparations were performed using standard laboratory protocols. RESULTS: Two of the cases were suspicious for melanoma and a 50-gene solid tumor panel was performed. The third case was worrisome for vitreoretinal lymphoma and a 49-gene myeloid panel was performed. CONCLUSIONS: In all cases, the molecular profiling assisted with the clinical assessment and/or management of each patient.

Three-year review of gene sequencing analyses of pulmonary non-small cell lung cancers obtained by fine-needle aspiration or surgical biopsy: mutation and failure rates.

INTRODUCTION: Mutational analysis is becoming the standard of diagnostic workup. Sufficient amounts of and quality tumor tissue can be challenging when faced with a small biopsy or biopsy by fine-needle aspiration (FNA). MATERIALS AND METHODS: We reviewed the failures of FNA and surgical biopsy to yield sequencing data and causes thereof over a 3-year period. We executed a search of the laboratory information system for requests to perform our targeted 50-gene assay by massively parallel sequencing on surgical biopsies and FNAs and compared the results. RESULTS: Three failure causes were assigned: insufficient tissue as defined by the pathologist, failure to meet quality control indicating library preparation or sequencing failure, and failure of pre-qualifying step for DNA integrity. A total of 327 of 354 cases were successfully sequenced (92%), including 151 FNA cases and 203 biopsies, with 16 (10.6%) and 11 (5.4%) failures, respectively. The Fisher's exact test two-tailed P-value equals 0.050381, making the difference between FNA and biopsy not statistically significant. Insufficient tissue, quality control failure, and DNA integrity were identified as the cause of the failure in 10 (62%), 3 (19%), and 3 (19%) FNA biopsies, and in 5 (45.5%), 1 (9%), and 5 (45.5%) surgical biopsies. The most common cause of failure of FNA was insufficient tissue. For surgical biopsies, DNA integrity and insufficient tissue were equally as likely to be implicated. Both FNA and surgical biopsy have a low failure rate overall without statistical significance between them. CONCLUSIONS: Although surgical biopsy is considered the gold standard, these findings support FNA as an equal modality.

Human Papillomavirus and Its Testing Assays, Cervical Cancer Screening, and Vaccination.

Human papillomavirus (HPV) was found to be the causative agent for cervical cancer in the 1980s with almost 100% of cervical cancer cases testing positive for HPV. Since then, many studies have been conducted to elucidate the molecular basis of HPV, the mechanisms of carcinogenesis of the virus, and the risk factors for HPV infection. Traditionally, the Papanicolaou test was the primary screening method for cervical cancer. Because of the discovery and evolving understanding of the role of HPV in cervical dysplasia, HPV testing has been recommended as a new method for cervical cancer screening by major professional organizations including the American Cancer Society, American Society for Colposcopy and Cervical Pathology, and the American Society for Clinical Pathology. In order to detect HPV infections, many sensitive and specific HPV assays have been developed and used clinically. Different HPV assays with various principles have shown their unique advantages and limitations. In response to a clear causative relationship between high-risk HPV and cervical cancer, HPV vaccines have been developed which utilize virus-like particles to create an antibody response for the prevention of HPV infection. The vaccines have been shown in long-term follow-up studies to be effective for up to 8 years; however, how this may impact screening for vaccinated women remains uncertain. In this chapter, we will review the molecular basis of HPV, its pathogenesis, and the epidemiology of HPV infection and associated cervical cancer, discuss the methods of currently available HPV testing assays as well as recent guidelines for HPV screening, and introduce HPV vaccines as well as their impact on cervical cancer screening and treatments.

Multi-Institutional FASTQ File Exchange as a Means of Proficiency Testing for Next-Generation Sequencing Bioinformatics and Variant Interpretation.

Next-generation sequencing is becoming increasingly common in clinical laboratories worldwide and is revolutionizing clinical molecular testing. However, the large amounts of raw data produced by next-generation sequencing assays and the need for complex bioinformatics analyses present unique challenges. Proficiency testing in clinical laboratories has traditionally been designed to evaluate assays in their entirety; however, it can be alternatively applied to separate assay components. We developed and implemented a multi-institutional proficiency testing approach to directly assess custom bioinformatics and variant interpretation processes. Six clinical laboratories, all of which use the same commercial library preparation kit for next-generation sequencing analysis of tumor specimens, each submitted raw data (FASTQ files) from four samples. These 24 file sets were then deidentified and redistributed to five of the institutions for analysis and interpretation according to their clinically validated approach. Among the laboratories, there was a high rate of concordance in the calling of single-nucleotide variants, in particular those we considered clinically significant (100% concordance). However, there was significant discordance in the calling of clinically significant insertions/deletions, with only two of seven being called by all participating laboratories. Missed calls were addressed by each laboratory to improve their bioinformatics processes. Thus, through our alternative proficiency testing approach, we identified the bioinformatic detection of insertions/deletions as an area of particular concern for clinical laboratories performing next-generation sequencing testing.