Faculty Bibliography

BACKGROUND:edition of UICC/AJCC TNM classification system the primary tumor pT stage is determined based on presence and size of the invasive components. The aim of this study was to identify histological features in tumors with lepidic growth pattern that may be used to establish criteria for distinguishing invasive from non-invasive areas. MATERIALS AND METHODS/METHODS:A Delphi approach was used with two rounds of blinded anonymized analysis of resected non-mucinous lung adenocarcinoma cases with presumed invasive and non-invasive components, followed by one round of reviewer de-anonymized and unblinded review of cases with known outcomes. A digital pathology platform was used for measuring total tumor size and invasive tumor size. RESULTS:The mean coefficient of variation for measuring total tumor size and tumor invasive size was 6.9% (range 1.7-22.3%) and 54% (range 14.7-155%), respectively, with substantial variations in interpretation of the size and location of invasion among pathologists. Following the presentation of the results and further discussion among members at large of the IASLC Pathology Committee, extensive epithelial proliferation (EEP) in areas of collapsed lepidic growth pattern is recognized as a feature likely to be associated with invasive growth. EEP is characterized by multilayered luminal epithelial cell growth, usually with high grade cytological features in several alveolar spaces. CONCLUSION/CONCLUSIONS:Collapsed alveoli and transition zones with EEP were identified by the Delphi process as morphologic features that were a source of interobserver variability. Definition criteria for collapse and EEP are proposed to improve reproducibility of invasion measurement.

INTRODUCTION/BACKGROUND:Accurate subtyping of non-small cell lung carcinomas (NSCLC) into lung adenocarcinoma (LUAD) and lung squamous cell carcinoma (LUSC) is the cornerstone of NSCLC diagnosis. Cytology samples show higher rates of classification failures, i.e., subtyping as non-small cell carcinoma, not otherwise specified (NSCC-NOS), as compared to histology. This study aims to identify specific algorithms based on known cytomorphological features that aid accurate and successful subtyping of NSCLC on cytology. METHODS:Thirteen expert cytopathologists participated anonymously in an online survey to subtype 119 NSCLC cytology cases (gold standard diagnoses being LUAD in 80 and LUSC in 39) enriched for non-keratinising LUSC. They selected from 23 pre-defined cytomorphological features that they used in subtyping. Data were analysed using machine learning algorithms based on Random Forest Method and regression trees. RESULTS:From 1474 responses recorded, concordant cytology typing was achieved in 53.7% (792/1474) responses. NSCC-NOS rates on cytology were similar among gold standard LUAD (36%) and LUSC (38%) cases. Misclassification rates were higher in gold standard LUSC (17.6%) than gold standard LUAD (5.5%; P<0.0001). Keratinisation, when present, recognised LUSC with high accuracy. In its absence, the ML algorithms developed based on experts' choices were unable to reduce cytology NSCC-NOS rates without increasing misclassification rates. CONCLUSION/CONCLUSIONS:Suboptimal recognition of LUSC in the absence of keratinisation remains the major hurdle in improving cytology subtyping accuracy with such cases either failing classification (NSCC-NOS) or misclassifying as LUAD. NSCC-NOS appears to be an inevitable morphological diagnosis emphasizing that ancillary IC is necessary to achieve accurate subtyping on cytology.

Background In participants with concomitant chronic coronary disease and advanced chronic kidney disease (CKD), the effect of treatment strategies on the timing of dialysis initiation is not well characterized. Methods and Results In ISCHEMIA-CKD (International Study of Comparative Health Effectiveness With Medical and Invasive Approaches-Chronic Kidney Disease), 777 participants with advanced CKD and moderate or severe ischemia were randomized to either an initial invasive or conservative management strategy. Herein, we compare the proportion of randomized participants with non-dialysis-requiring CKD at baseline (n=362) who initiated dialysis and compare the time to dialysis initiation between invasive versus conservative management arms. Using multivariable Cox regression analysis, we also sought to identify the effect of invasive versus conservative chronic coronary disease management strategies on dialysis initiation. At a median follow-up of 23 months (25th-75th interquartile range, 14-32 months), dialysis was initiated in 18.9% of participants (36/190) in the invasive strategy and 16.9% of participants (29/172) in the conservative strategy (P=0.22). The median time to dialysis initiation was 6.0 months (interquartile range, 3.0-16.0 months) in the invasive group and 18.2 months (interquartile range, 12.2-25.0 months) in the conservative group (P=0.004), with no difference in procedural acute kidney injury rates between the groups (7.8% versus 5.4%; P=0.26). Baseline clinical factors associated with earlier dialysis initiation were lower baseline estimated glomerular filtration rate (hazard ratio [HR] associated with 5-unit decrease, 2.08 [95% CI, 1.72-2.56]; P<0.001), diabetes (HR, 2.30 [95% CI, 1.28-4.13]; P=0.005), hypertension (HR, 7.97 [95% CI, 1.09-58.21]; P=0.041), and Hispanic ethnicity (HR, 2.34 [95% CI, 1.22-4.47]; P=0.010). Conclusions In participants with non-dialysis-requiring CKD in ISCHEMIA-CKD, randomization to an invasive chronic coronary disease management strategy (relative to a conservative chronic coronary disease management strategy) is associated with an accelerated time to initiation of maintenance dialysis for kidney failure. Registration URL: https://www.clinicaltrials.gov; Unique identifier: NCT01985360.

Importance/UNASSIGNED:A recent expert consensus exercise emphasized the importance of developing a global network of patient registries for alopecia areata to redress the paucity of comparable, real-world data regarding the effectiveness and safety of existing and emerging therapies for alopecia areata. Objective/UNASSIGNED:To generate core domains and domain items for a global network of alopecia areata patient registries. Evidence Review/UNASSIGNED:Sixty-six participants, representing physicians, patient organizations, scientists, the pharmaceutical industry, and pharmacoeconomic experts, participated in a 3-round eDelphi process, culminating in a face-to-face meeting at the World Congress of Dermatology, Milan, Italy, June 14, 2019. Findings/UNASSIGNED:Ninety-two core data items, across 25 domains, achieved consensus agreement. Twenty further noncore items were retained to facilitate data harmonization in centers that wish to record them. Broad representation across multiple stakeholder groups was sought; however, the opinion of physicians was overrepresented. Conclusions and Relevance/UNASSIGNED:This study identifies the domains and domain items required to develop a global network of alopecia areata registries. These domains will facilitate a standardized approach that will enable the recording of a comprehensive, comparable data set required to oversee the introduction of new therapies and harness real-world evidence from existing therapies at a time when the alopecia areata treatment paradigm is being radically and positively disrupted. Reuse of similar, existing frameworks in atopic dermatitis, produced by the Treatment of Atopic Eczema (TREAT) Registry Taskforce, increases the potential to reuse existing resources, creates opportunities for comparison of data across dermatology subspecialty disease areas, and supports the concept of data harmonization.

INTRODUCTION:Programmed death-ligand 1 (PD-L1) immunohistochemistry (IHC) is required to determine the eligibility for pembrolizumab monotherapy in advanced NSCLC worldwide and for several other indications depending on the country. Four assays have been approved/ Communauté Européene-In vitro Diagnostic (CV-IVD)-marked, but PD-L1 IHC seems diversely implemented across regions and laboratories with the application of laboratory-developed tests (LDTs). METHOD:To assess the practice of PD-L1 IHC and identify issues and disparities, the International Association for the Study of Lung Cancer Pathology Committee conducted a global survey for pathologists from January to May 2019, comprising multiple questions on preanalytical, analytical, and postanalytical conditions. RESULT:A total of 344 pathologists from 64 countries participated with 41% from Europe, 24% from North America, and 18% from Asia. Besides biopsies and resections, cellblocks were used by 75% of the participants and smears by 11%. The clone 22C3 was most often used (69%) followed by SP263 (51%). They were applied as an LDT by 40% and 30% of the users, respectively, and 76% of the participants developed at least one LDT. Half of the participants reported a turnaround time of less than or equal to 2 days, whereas 13% reported that of greater than or equal to 5 days. In addition, quality assurance (QA), formal training for scoring, and standardized reporting were not implemented by 18%, 16%, and 14% of the participants, respectively. CONCLUSIONS:Heterogeneity in PD-L1 testing is marked across regions and laboratories in terms of antibody clones, IHC assays, samples, turnaround times, and QA measures. The lack of QA, formal training, and standardized reporting stated by a considerable minority identifies a need for additional QA measures and training opportunities.

PURPOSE:To evaluate the effect of hyperuricemia on clinical outcomes of renal transplant recipients (RTRs). METHODS:A literature search of PubMed, Cochrane, Embase was conducted up to March 20, 2020. The primary outcome was the estimated glomerular filtration rate (eGFR). The second outcomes were the risk of graft loss, death, cardiovascular event and the level of triglyceride. The following search terms were utilized: ((Hyperuricemic group) OR (Hyperuricaemia) OR (Hyperuric) OR (Urea acid) OR (Uric acid) OR (Acid urate) OR (Urate) OR (Gout)) and ((Transplantation) OR (Transplantations) OR (Transplant) OR (Transplants) OR (Graft)). RESULTS:28 studies with 18224 patients were eligible for inclusion. There was no significant difference in eGFR (<12 months, p=0.07), the risk of graft loss (<60 months, p=0.07) and death (<60months, p=0.19) between the hyperuricemic and normouricemic group in the early post-transplantation period. But increased uric acid levels contributed to the long-term decline of eGFR, the risk of graft loss and death increased after transplantation. Hyperuricemia increased the risk of cardiovascular event with no significant difference in the level of triglyceride between the two groups. CONCLUSIONS:Increased uric acid levels contributed to the long-term decline of eGFR, increased risk of graft loss and death after transplantation. Although there was no significant effect on triglyceride, hyperuricemia increased the risk of cardiovascular event.

Glioma is a relatively low aggressive brain tumor. Although the median survival time of patients for lower-grade glioma (LGG) was longer than that of patients for glioblastoma, the overall survival was still short. Therefore, it is urgent to find out more effective molecular prognostic markers. The role of the Fam20 kinase family in different tumors was an emerging research field. However, the biological function of Fam20C and its prognostic value in brain tumors have rarely been reported. This study aimed to evaluate the value of Fam20C as a potential prognostic marker for LGG. A total of 761 LGG samples (our cohort, TCGA and CGGA) were included to investigate the expression and role of Fam20C in LGG. We found that Fam20C was drastically overexpressed in LGG and was positively associated with its clinical progression. Kaplan-Meier analysis and a Cox regression model were employed to evaluate its prognostic value, and Fam20C was found as an independent risk factor in LGG patients. Gene set enrichment analysis also revealed the potential signaling pathways associated with Fam20C gene expression in LGG; these pathways were mainly enriched in extracellular matrix receptor interactions, cell adhesion, cell apoptosis, NOTCH signaling, cell cycle, etc. In summary, our findings provide insights for understanding the potential role of Fam20C and its application as a new prognostic biomarker for LGG.

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.

There has been a global outbreak of coronavirus disease 2019 (COVID-19) since December 2019. In clinical practice, not only fever and respiratory tract symptoms but also multiple organ symptoms are observed in patients diagnosed with COVID-19. Herein, we report a rare case of a patient diagnosed with COVID-19 who manifested with concomitant neurological symptoms. The patient developed fever and respiratory symptoms at disease onset, followed by muscle soreness, and subsequently altered consciousness and psychiatric symptoms, with positive signs based on neurological examination. The patient tested positive for the severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) nucleic acid (throat swab). Further, chest computed tomography (CT) revealed typical COVID-19 findings, and head CT did not reveal significant abnormalities. The patient recovered after treatment and was discharged. This rare case indicates that SARS-CoV-2 can invade the central nervous system, thus causing neurological symptoms and signs. This article is protected by copyright. All rights reserved.

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.