Faculty Bibliography

BACKGROUND:Increased utilization of hepatitis C virus (HCV)-positive donors has increased transplantation rates. However, high levels of viremia have been documented in recipients of viremic donors. There is a knowledge gap in how transient viremia may impact acute cellular rejections (ACRs). METHODS:In this study, 50 subjects received hearts from either viremic or non-viremic donors. The recipients of viremic donors were classified as nucleic acid amplification testing (NAT)+ group, and the remaining were classified as NAT-. All patients were monitored for viremia levels. Endomyocardial biopsies were performed through 180 days, evaluating the incidence of ACRs. RESULTS:A total of 50 HCV-naive recipients received hearts between 2018 and 2019. A total of 22 patients (44%) who received transplants from viremic donors developed viremia at a mean period of 7.2 ± 0.2 days. At that time, glecaprevir/pibrentasvir was initiated. In the viremia period (<56 days), 14 of 22 NAT+ recipients (64%) had ACR vs 5 of 28 NAT- group (18%) (p = 0.001). Through 180 days, 17 of 22 NAT+ recipients (77%) had a repeat rejection biopsy vs 12 of 28 NAT- recipients (43%) (p = 0.02). NAT+ biopsies demonstrated disparity of ACR distribution: negative, low-grade, and high-grade ACR in 84%, 12%, and 4%, respectively, vs 96%, 3%, and 1%, respectively, in the NAT- group (p = 0.03). The median time to first event was 26 (interquartile range [IQR]: 8-45) in the NAT+ group vs 65 (IQR: 44-84) days in the NAT-. Time to first event risk model revealed that NAT+ recipients had a significantly higher rate of ACR occurrences, adjusting for demographics (p = 0.004). CONCLUSIONS:Transient levels of viremia contributed to higher rates and severity of ACRs. Further investigation into the mechanisms of early immune activation in NAT+ recipients is required.

INTRODUCTION/BACKGROUND:Overexpression of the mesenchymal-epithelial transition (MET) receptor, a receptor tyrosine kinase, can propel the growth of cancer cells and portends poor prognoses for patients with lung cancer. Evaluation of MET by immunohistochemistry is challenging, with MET protein overexpression varying from 20% to 80% between lung cancer cohorts. Clinical trials using MET protein expression to select patients have also reported a wide range of positivity rates and outcomes. MATERIALS AND METHODS/METHODS:To overcome this variability, the Lung Cancer Mutation Consortium Pathologist Panel endeavored to standardize the evaluation of MET protein expression with "Round Robin" conferences. This panel used randomly selected Aperio-scanned formalin-fixed paraffin-embedded lung cancer specimens stained by MET immunohistochemistry for the Lung Cancer Mutation Consortium 2.0 study (N=838). Seven pathologists in separate laboratories scored images of 5 initial cases and 2 subsequent rounds of 39 cases. The pathologists' scores were compared for consistency using the intraclass correlation coefficient. Issues affecting reproducibility were discussed in Round Robin conferences between rounds, and steps were taken to improve scoring consistency, such as sharing reference materials and example images. RESULTS:The overall group intraclass correlation coefficient comparing the consistency of scoring improved from 0.50 (95% confidence interval, 0.37-0.64) for the first scoring round to 0.74 (95% confidence interval, 0.64-0.83) for the second round. DISCUSSION/CONCLUSIONS:We found that the consistency of MET immunohistochemistry scoring is improved by continuous training and communication between pathologists.

INTRODUCTION/BACKGROUND:A grading system for pulmonary adenocarcinoma has not been established. The IASLC pathology panel evaluated a set of histological criteria associated with prognosis aimed at establishing a grading system for invasive pulmonary adenocarcinoma. DESIGN/METHODS:A multi-institutional study involving multiple cohorts of invasive pulmonary adenocarcinomas was conducted. A cohort of 284 stage I pulmonary adenocarcinomas was used as a training set to identify histological features associated with patient outcomes (recurrence-free survival [RFS] and overall survival [OS]). ROC curve analysis was used to select the best model, which was validated (n=212) and tested (n=300, including Stage I-III) in independent cohorts. Reproducibility of the model was assessed using kappa statistics. RESULTS:The best model (AUC= 0.749 for RFS and 0.787 for OS) was composed of a combination of predominant plus high-grade histological pattern with a cut off of 20% for the latter. The model consists of: Grade 1: lepidic predominant tumor; Grade 2: acinar or papillary predominant tumor, both with no or less than 20% of high-grade patterns; and Grade 3: any tumor with 20% or more of high-grade patterns (solid, micropapillary and or complex gland). Similar results were seen in the validation (AUC = 0.732 for RFS and 0.787 for OS) and test cohorts (AUC of 0.690 for RFS and 0.743 for OS), confirming the predictive value of the model. Inter-observer reproducibility showed good agreement (k=0.617). CONCLUSION/CONCLUSIONS:A grading system based on the predominant and high-grade patterns is practical and prognostic for invasive pulmonary adenocarcinoma. ACKNOWLEDGEMENT/UNASSIGNED:This project was supported by grants from the International Association for the study of Lung Cancer (IASLC), and NIH/NCI Early Detection Research Network 1U01CA214195-01 to HP used for biospecimen collection and salary support (DFL). We would like to thank the staff of the Center of Biospecimen Research and Development (CBRD) from the New York University for their help in digital pathology and histology for this project. CBRD is partially supported by the Cancer Center Support Grant P30CA016087 at the Laura and Isaac Perlmutter Cancer Center.

Cytology serves a fundamental role in the evaluation of the lower respiratory tract. Cytological specimens are often the first diagnostic attempt for the evaluation of radiographic alterations. The categorization of the pathological process as infectious, inflammatory or neoplastic is critical in guiding further clinical management of the affected patient. Therefore it is imperative that cytopathologists use a standardized approach to sample handling and reporting in order to establish clear communication with the treating physician. The Papanicolaou Society of cytopathology has been an active leader in this field and has proposed several guidelines for sampling, handling, and reporting of lower respiratory tract cytology. These guidelines have been updated to incorporate new emerging concepts and technologies in the field. Respiratory medicine is a fast growing area with constant new challenges, thus requiring an ever demanding adaptation from cytopathologists and cytology specific guidelines.

OBJECTIVES/OBJECTIVE:Recent investigations have shown strong correlations between cytology and surgical non-small cell lung carcinoma (NSCLC) specimens in programmed death-ligand 1 (PD-L1) immunohistochemical (IHC) evaluations. Our study aims to evaluate the reproducibility of PD-L1 IHC scoring in NSCLC cytology cell blocks (CBs) and to assess the impact of CB cellularity, method of sample collection, and observer subspecialty on scoring agreement. METHODS:PD-L1 IHC was performed on 54 NSCLC cytology CBs and was scored independently by seven cytopathologists (three of seven with expertise in pulmonary pathology). Three-tier scoring of negative (<1%), low positive (1%-49%), and high positive (≥50%) and interrater agreement were assessed. RESULTS:Total and majority agreement among cytopathologists was achieved in 48% and 98% of cases, respectively, with κ = 0.608 (substantial agreement; 95% confidence interval, 0.50-0.72). Cytopathologists with pulmonary pathology expertise agreed in 67% of cases (κ = 0.633, substantial agreement), whereas the remaining cytopathologists agreed in 56% of cases (κ = 0.62, substantial agreement). CB cellularity (P = .36) and sample collection type (P = .59) had no statistically significant difference between raters. CONCLUSIONS:There is substantial agreement in PD-L1 IHC scoring in cytology CB specimens among cytopathologists. Additional expertise in pulmonary pathology, sample collection type, and CB cellularity have no statistically significant impact on interobserver agreement.

Immune checkpoint inhibitor therapies have revolutionized the management of patients with non-small cell lung carcinoma (NSCLC) and have led to unprecedented improvements in response rates and survival in a subset of a patients with this fatal disease. However, the available therapies work only for a minority of patients, are associated with substantial societal cost, and may lead to significant immune-related adverse events. Therefore, patient selection must be optimized through use of relevant biomarkers. PD-L1 protein expression by immunohistochemistry is widely used today for selection of PD-1 inhibitor therapy in NSCLC patients, however this approach lacks both robust sensitivity and specificity for predicting response. Tumor mutation burden (TMB), or the number of somatic mutations derived from next generation sequencing techniques, has been widely explored as an alternative or complementary biomarker for response to immune checkpoint inhibitors. In theory, a higher TMB increases the probability of tumor neoantigen production and, therefore, likelihood of immune recognition and tumor cell killing. While TMB alone is a simplistic surrogate of this complex interplay, it is a quantitative variable that can be relatively readily measured using currently available sequencing techniques. A large number of clinical trials and retrospective analyses employing both tumor and blood-based sequencing tools have examined the performance of TMB as a predictive biomarker and in many cases show a correlation between high TMB and immune checkpoint inhibitor response rates and progression-free survival. Many challenges remain prior to implementation of TMB as a biomarker in clinical practice. These include: identification of therapies whose response is best informed by TMB status; robust definition of a predictive TMB cutpoint; acceptable sequencing panel size and design; need for robust technical and informatic rigor to generate precise and accurate TMB measurements across different laboratories. Finally, effective prediction of response to immune checkpoint inhibitor therapy will likely require integration of TMB with a host of other potential biomarkers, including tumor genomic driver alterations, tumor-immune milieu, and other features of the host immune system. This perspective piece will review the current clinical evidence for TMB as a biomarker and address the technical sequencing considerations and ongoing challenges to use of TMB in routine practice.

In the 21st century, there has been a dramatic shift in the management of advanced-stage lung carcinoma, and this has coincided with an increasing use of minimally invasive tissue acquisition methods. Both have had significant downstream effects on cytology and small biopsy specimens. Current treatments require morphologic, immunohistochemical, and/or genotypical subtyping of non-small cell lung carcinoma. To meet these objectives, standardized classification of cytology and small specimen diagnoses, immunohistochemical algorithms, and predictive biomarker testing guidelines have been developed. This review provides an overview of current classification, biomarker testing, methods of small specimen acquisition and triage, clinical management strategies, and emerging technologies.

PURPOSE/OBJECTIVE:To compare the pathology results of CT-guided and blind bone marrow aspirations and biopsies. METHODS:Ninety-eight consecutive CT-guided biopsies and 98 age- and gender-matched blind (non-CT-guided) posterior iliac crest bone marrow aspirations and biopsies performed in 2017 were reviewed for adequacy of core biopsies and aspirate smears. CT procedure images and CT abdomen/pelvis images were reviewed to evaluate anatomic features of the posterior ilium and soft tissues. Statistical analysis was performed using a T test, Fisher exact test, and Kruskal-Wallis test. RESULTS:There was no significant difference in the age and gender of the two groups (p > 0.05). However, the CT-guided group had a higher BMI (p = 0.0049) and posterior soft tissue thickness (p = 0.0016). More CT-guided biopsy samples (CT 93 (95%); blind 77 (79%); p = 0.0006) and aspirate smears (CT 90 (92%); blind 78 (80%); p = 0.042) were categorized as adequate. The CT-guided group had longer core lengths (CT 1.4 ± 0.6 (range 0.3-3.5) cm; blind 1.0 ± 0.60 (range 0-2.6) cm; p = 0.0001). Overall, 131/164 (80%) of the cases had at least one of the described features (slanted posterior ilium (angle > 30°), 30%; rounded posterior ilium, 20%; thick posterior ilium cortex, 13%; focal lesion in posterior ilium, 12%; prior procedure in posterior ilium, 5%; posterior soft tissue thickness > 3 cm, 40%). CONCLUSION/CONCLUSIONS:CT-guided bone marrow procedures were more likely to result in both adequate aspirate smears and biopsy samples and longer core lengths when compared with blind procedures.

The outbreak of the novel coronavirus disease 2019 (COVID-19) and consequent social distancing practices have disrupted essential clinical research functions worldwide. Ironically, this coincides with an immediate need for research to comprehend the biology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the pathology of COVID-19. As the global crisis has already led to over 15,000 deaths out of 175,000 confirmed cases in New York City and Nassau County, NY alone, it is increasingly urgent to collect patient biospecimens linked to active clinical follow up. However, building a COVID-19 biorepository amidst the active pandemic is a complex and delicate task. To help facilitate rapid, robust, and regulated research on this novel virus, we report on the successful model implemented by New York University Langone Health (NYULH) within days of outbreak in the most challenging hot spot of infection globally. Using an amended institutional biobanking protocol, these efforts led to accrual of 11,120 patients presenting for SARS-CoV-2 testing, 4267 (38.4%) of whom tested positive for COVID-19. The recently reported genomic characterization of SARS-CoV-2 in the New York City Region, which is a crucial development in tracing sources of infection and asymptomatic spread of the novel virus, is the first outcome of this effort. While this growing resource actively supports studies of the New York outbreak in real time, a worldwide effort is necessary to build a collective arsenal of research tools to deal with the global crisis now, and to exploit the virus's biology for translational innovation that outlasts humanity's current dilemma.