Faculty Bibliography

OBJECTIVES/OBJECTIVE:We validate the use of a lateral flow immunoassay (LFI) intended for rapid screening and qualitative detection of anti-SARS-CoV-2 IgM and IgG in serum, plasma, and whole blood, and compare results with ELISA. We also seek to establish the value of LFI testing on blood obtained from a capillary blood sample. METHODS:Samples collected by venous blood draw and finger stick were obtained from patients with SARS-CoV-2 detected by RT-qPCR and control patients. Samples were tested with Biolidics 2019-nCoV IgG/IgM Detection Kit lateral flow immunoassay, and antibody calls were compared with ELISA. RESULTS:Biolidics LFI showed clinical sensitivity of 92% with venous blood at 7 days after PCR diagnosis of SARS-CoV-2. Test specificity was 92% for IgM and 100% for IgG. There was no significant difference in detecting IgM and IgG with Biolidics LFI and ELISA at D0 and D7 (p = 1.00), except for detection of IgM at D7 (p = 0.04). Capillary blood of SARS-CoV-2 patients showed 93% sensitivity for antibody detection. CONCLUSIONS:Clinical performance of Biolidics 2019-nCoV IgG/IgM Detection Kit is comparable to ELISA and was consistent across sample types. This provides an opportunity for decentralized rapid testing and may allow point-of-care and longitudinal self-testing for the presence of anti-SARS-CoV-2 antibodies.

OBJECTIVES/OBJECTIVE:Soft tissue sarcomas are a group of tumors derived from the mesenchymal origin. Historically, they have been classified according to morphologic and immunohistochemical characteristics. The advent of multiplexed next-generation sequencing (NGS), specifically RNA sequencing, has modified the classification of such tumors and others by determining categorization based on molecular alterations. The NUTM1 rearrangement, previously thought to be present only in carcinomas, has recently been reported in poorly differentiated high-grade sarcomas of the soft tissue. We present the first reported case of an epithelioid hyalinizing sarcoma harboring the MGA-NUTM1 fusion in an acral site. METHODS:Histopathologic, immunohistochemical, and molecular testing were performed on resection tissue. RESULTS:Histologically, the tumor showed an epithelioid morphology with prominent background hyalinization. Immunohistochemically, the tumor expressed CD99 and nuclear NUT-1. By NGS the tumor harbors MGA-NUTM1 fusion. CONCLUSIONS:Our findings support more extensive use of NGS for accurate sarcoma classification and identification of potential therapeutic targets. Furthermore, they corroborate the fact that NUTM1-rearranged soft tissue tumors represent a spectrum of heterogeneous morphologic entities. This case also highlights the utility of NUT-1 immunohistochemical study as a possible screening tool for NUTM1-fused sarcomas.

Soft tissue tumors can be categorized molecularly into two categories: tumors which are known to have recurrent molecular alterations and tumors which do not have consistent recurrent molecular alterations or translocations. These "non-translocation" associated sarcomas are clinically more aggressive than their more stable counterparts. However, recent advances in RNA sequencing have discovered recurrent novel fusions within the latter group, namely TERT-TRIO fusions. Furthermore, a recent report discovered this fusion in a spindle cell liposarcoma. Our case describes a novel fusion of CTNND2, a neighbor gene of TRIO, and TERT in a spindle cell liposarcoma, and provides further evidence that spindle cell liposarcoma should be a distinct entity from spindle cell dedifferentiated liposarcoma. This article is protected by copyright. All rights reserved.

The dynamics of viral load (VL) of the 2019 novel coronavirus (severe acute respiratory syndrome coronavirus 2) and its association with different clinical parameters remain poorly characterized in the US patient population. Herein, we investigate associations between VL and parameters, such as severity of symptoms, disposition (admission versus direct discharge), length of hospitalization, admission to the intensive care unit, length of need for oxygen support, and overall survival in a cohort of 205 patients from a tertiary care center in New York City. VL was determined using quantitative PCR and log10 transformed for normalization. Univariate and multivariate regression models were used to test these associations. We found that diagnostic viral load is significantly lower in hospitalized patients than in patients not hospitalized (log10 VL = 3.3 versus 4.0; P = 0.018) after adjusting for age, sex, race, body mass index, and comorbidities. Higher VL was associated with shorter duration of the symptoms in all patients and hospitalized patients only and shorter hospital stay (coefficient = -2.02, -2.61, and -2.18; P < 0.001, P = 0.002, and P = 0.013, respectively). No significant association was noted between VL, admission to intensive care unit, length of oxygen support, and overall survival. Our findings suggest a higher shedding risk in less symptomatic patients, an important consideration for containment strategies in severe acute respiratory syndrome coronavirus 2. Furthermore, we identify a novel association between viral load and history of cancer. Larger studies are warranted to validate our findings.

Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epidemiological parameters. Here, we report the analysis of 236 SARS-CoV2 sequences from cases in the New York City metropolitan area during the initial stages of the 2020 COVID-19 outbreak. The majority of cases throughout the region had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that the majority were most related to cases from Europe. Our data are consistent with numerous seed transmissions from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of real-time genomic surveillance in addition to traditional epidemiological indicators.

The Publisher regrets that this article is an accidental duplication of an article that has already been published, https://doi.org/10.1016/j.ajpath.2020.07.001. The duplicate article has therefore been withdrawn. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/policies/article-withdrawal.

Objective; To reduce damage of finished infusion products in pharmacy intravenous admixture service (PIVAS).
Method(s): The failure mode and effect analysis(FMEA) method was used to analyze the failure mode of PIVAS that caused damage of finished infusion products in No. 940 Hospital of Joint Logistics Support Force. Influential factors were analyzed and risk priority number (RPN) was calculated. Based on the obtained results,high risk factors were monitored, active corrective measures were proposed and implemented,and finally the effects of intervention were also evaluated.
Result(s): A total of 10 failure modes were identified in the system processes of PIVAS that might affect the finished products of the hospital. Of all the failure modes,non-standard infusion operation (RPN = 45),rough sorting and packaging (RPN = 36) and rough delivery of drugs in ampoules (RPN = 36) were high risk factors. Related corrective measures were proposed pertaining to each failure mode,and a perfect quality control system was developed. With close monitoring and supervision by individuals at each process, the RPN of each risk factor was minimized. After intervention, the breakage rate of finished infusion products was significantly reduced (0. 01 % vs 0. 03%). During the morning peak period with the highest working pressure,the breakage rate significantly reduced,which was particular the case for those common drugs, with the reduction of breakage rate of about 50%.
Conclusion(s): The application of FMEA method in PIVAS could effectively reduce the breakage rate of finished infusion products, which not only reduced drug waste, but effectively ensured the safety of medication.
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Gene fusions are caused by chromosomal rearrangements and encode fusion proteins that can act as oncogenic drivers in cancers. Traditional methods for detecting oncogenic fusion transcripts include fluorescence in situ hybridization (FISH), reverse transcription polymerase chain reaction (RT-PCR) and immunohistochemistry (IHC). However, these methods are limited in scalability and pose significant technical and interpretational challenges. Next-generation sequencing (NGS) is a high-throughput method for detecting genetic abnormalities and providing prognostic and therapeutic information for cancer patients. We present our experience with the validation of a custom-designed Archer Anchored Multiplex PCR (AMP™) technology-based NGS technology, "NYU FUSION-SEQer" using RNA sequencing. We examine both analytical performance and clinical utility of the panel using 75 retrospective validation samples and 84 prospective clinical samples of solid tumors. Our panel showed robust sequencing performance with strong enrichment for target regions. The lower limit of detection was 12.5% tumor fraction at 125 ng of RNA input. The panel demonstrated excellent analytic accuracy, with 100% sensitivity, 100% specificity and 100% reproducibility on validation samples. Finally, in the prospective cohort, the panel detected fusions in 61% cases (n = 51), out of which 41% (n = 21) enabling diagnosis and 59% (n = 30) enabling treatment and prognosis. We demonstrate that the fusion panel can accurately, efficiently and cost-effectively detect the majority of known fusion genes, novel clinically relevant fusions and provides an excellent tool for discovery of new fusion genes in solid tumors.

Metformin has been used in diabetes for more than 60 years and has excellent safety in the therapy of human type 2 diabetes (T2D). There is growing evidence that the beneficial health effects of metformin are beyond its ability to improve glucose metabolism. Metformin not only reduces the incidence of cardiovascular diseases (CVD) in T2D patients, but also reduces the burden of atherosclerosis (AS) in pre-diabetes patients. Vascular smooth muscle cells (VSMCs) function is an important factor in determining the characteristics of the entire arterial vessel. Its excessive proliferation contributes to the etiology of several types of CVD, including AS, restenosis, and pulmonary hypertension. Current studies show that metformin has a beneficial effect on VSMCs function. Therefore, this review provides a timely overview of the role and molecular mechanisms by which metformin acts through VSMCs to protect CVD.