Faculty Bibliography

Background: In addition to respiratory distress, GI symptoms have been reported in COVID-19 patients at various stages of the disease. Among the GI symptoms that have been reported, diarrhea, nausea, vomiting, abdominal pain and GI bleeding were often seen. Age and comorbid conditions such as obesity, HTN, DM and/or CAD have been considered as risk factors for COVID-19 patients for severe disease. GI manifestations in COVID-19 patients appeared to act as a sign for a serious condition. The virus has been identified in the stool and in rectal swabs of some infected patients, even after a negative nasopharyngeal test. There is a lack of reports on pathological alterations of the GI tract in COVID-19 infected patients.
Design(s): 16 PCR confirmed COVID-19 patients (11 males and 5 females) were included in the study. Biopsy or resection specimens were taken from the esophagus (4), stomach (6), small intestine (5), appendix (3), colon (5) and gallbladder (3). Clinical information including demographics, comorbidities, GI symptoms, related laboratory tests were collected. Histopathologic evaluation was performed and correlated with clinical properties.
Result(s): The age of the patients ranged from 10 to 84 years old, with an average of 47 years. Eight (50%) patients had at least one comorbid condition, two patients (12.5%) had prior history of cancer, and six patients had no significant medical history. Abdominal pain and GI bleeding were the most common presenting symptoms. Histologically, acute and chronic inflammation was seen in 14 of 16, and 15 of 16 cases, respectively. Eight cases showed severe acute inflammation with ulceration. The mucosal changes included nonspecific reactive change, hypermucinous, atrophic/ischemic changes, and necrosis, were indiscriminately noticed in these cases. Four cases showed intraepithelial lymphocytosis. Viral like inclusions were found in four cases. Microthrombi were identified in 5 cases with an average patient age of 60 years. Notably, microthrombi were seen in about 5 out of 8 (62%) patients with comorbidities. The patients with microthrombi had a higher D dimer test value than those without thrombus. Three patients died shortly after operation, and two of them showed microthrombi in the tissue specimens.
Conclusion(s): Acute and chronic inflammation were indiscriminately seen in these cases. Microthrombi were dominantly found in aging patients with comorbidities, suggesting microthrombi in the GI tract may be a histologic indication for severe COVID-19 patients with GI symptoms

Tumor-infiltrating lymphocytes (TIL) have potential prognostic value in melanoma and have been considered for inclusion in the American Joint Committee on Cancer (AJCC) staging criteria. However, interobserver discordance continues to prevent the adoption of TIL into clinical practice. Computational image analysis offers a solution to this obstacle, representing a methodological approach for reproducibly counting TIL. We sought to evaluate the ability of a TIL-quantifying machine learning algorithm to predict survival in primary melanoma. Digitized hematoxylin and eosin (H&E) slides from prospectively enrolled patients in the NYU melanoma database were scored for % TIL using machine learning and manually graded by pathologists using Clark's model. We evaluated the association of % TIL with recurrence-free survival (RFS) and overall survival (OS) using Cox proportional hazards modeling and concordance indices. Discordance between algorithmic and manual TIL quantification was assessed with McNemar's test and visually by an attending dermatopathologist. In total, 453 primary melanoma patients were scored using machine learning. Automated % TIL scoring significantly differentiated survival using an estimated cutoff of 16.6% TIL (log-rank P < 0.001 for RFS; P = 0.002 for OS). % TIL was associated with significantly longer RFS (adjusted HR = 0.92 [0.84-1.00] per 10% increase in % TIL) and OS (adjusted HR = 0.90 [0.83-0.99] per 10% increase in % TIL). In comparison, a subset of the cohort (n = 240) was graded for TIL by melanoma pathologists. However, TIL did not associate with RFS between groups (P > 0.05) when categorized as brisk, nonbrisk, or absent. A standardized and automated % TIL scoring algorithm can improve the prognostic impact of TIL. Incorporation of quantitative TIL scoring into the AJCC staging criteria should be considered.

Background: Digestive symptoms are often seen in COVID-19 patients with poor outcomes. The Viral RNA is mostly positive in the stool of these patients, and has a longer delay before viral clearance. However, its diagnostic value and significance for guiding clinical treatment remain unknown. And the pathologic alterations in the GI tract in COVID-19 patients have not been well defined. We evaluated rectal swab SAS-CoV-2 test and histopathologic changes in the small intestine in autopsy patients.
Design(s): 18 autopsy cases with confirmed SAS-CoV2 infection were included. Nasal, bronchial, and rectal swab SARS-CoV-2 PCR were performed at the time of autopsy. Clinical information included demographics, comorbidities, presenting symptoms, related laboratory tests were collected. Histopathologic evaluation was performed and correlated with clinical properties.
Result(s): 83% (15/18) of patients were male. Median age is 50 years. 7/18 (38.9%) patients had diarrhea in addition to cough, fever and other symptoms. Except in one case, all patients had underlying comorbidities of diabetes, hypertension and /or obesity. In the small intestine, acute inflammation was not seen in any cases. 5/18 displayed mild and one showed moderate chronic inflammation. Hypermucinous change was found in six patients but not associated with diarrhea. 3 cases had microthrombi identified in the sections. Notably, obviously increased D dimer in lab tests were noticed in all patients. Postmortem 17/17 (100%) nasal, 18/18 (100%) bronchial and 7/16 (43.8%) rectal swabs showed SARS-CoV-2 PCR positivity. 3 of 7 (42.9%) patients with diarrhea are positive in rectal swab for SARS-CoV-2.
Conclusion(s): There are no specific COVID-19 changes in the small intestine. More investigations are needed, especially on tissues from different locations of the GI tract. Data from rectal swab testing suggests that it is not ideal for diagnosing COVID-19, guiding treatment, or predicting small intestinal pathology

Mortality among patients with COVID-19 and respiratory failure is high and there are no known lower airway biomarkers that predict clinical outcome. We investigated whether bacterial respiratory infections and viral load were associated with poor clinical outcome and host immune tone. We obtained bacterial and fungal culture data from 589 critically ill subjects with COVID-19 requiring mechanical ventilation. On a subset of the subjects that underwent bronchoscopy, we also quantified SARS-CoV-2 viral load, analyzed the microbiome of the lower airways by metagenome and metatranscriptome analyses and profiled the host immune response. We found that isolation of a hospital-acquired respiratory pathogen was not associated with fatal outcome. However, poor clinical outcome was associated with enrichment of the lower airway microbiota with an oral commensal ( Mycoplasma salivarium ), while high SARS-CoV-2 viral burden, poor anti-SARS-CoV-2 antibody response, together with a unique host transcriptome profile of the lower airways were most predictive of mortality. Collectively, these data support the hypothesis that 1) the extent of viral infectivity drives mortality in severe COVID-19, and therefore 2) clinical management strategies targeting viral replication and host responses to SARS-CoV-2 should be prioritized.

We present the case of a 31-year-old female with 1.5 cm pigmented nodule on the scalp. Histopathological examination revealed a proliferation of relatively bland spindle cells and pigmented dendritic cells with interspersed lymphoid follicles diffusely infiltrating the adipose tissue. The microscopic differential diagnosis included pigmented dermatofibrosarcoma protuberans (DFSP). The spindle cells showed S-100 and CD34 labeling but were negative for SOX-10. Immunohistochemical stain for pan-TRK was positive, while fluorescence in-situ hybridization for PDGFB gene rearrangement was negative. Targeted RNA sequencing revealed a LMNA-NTRK1(Exon2/Exon10) fusion. This molecular result coupled with the histopathologic findings and immunohistochemical profile supported the diagnosis of the recently characterized NTRK-rearranged spindle cell neoplasm termed "lipofibromatosis-like neural tumor (LPF-NT)". These neoplasms typically occur in superficial soft tissue and are characterized by a distinctive immunoprofile (CD34+, S-100+, SOX10-). Histopathological differential diagnosis for LPF-NT tumors includes lipofibromatosis, DFSP, low-grade malignant peripheral nerve sheath tumor and spindle cell/desmoplastic melanoma. The pigmented dendritic cells reminiscent of pigmented DFSP and lymphoid follicles noted in our case have not been previously reported in LPF-NT, thus expanding the morphologic spectrum of this entity. LMNA-NTRK1 fusion serves both as a diagnostic and therapeutic biomarker, as cases with advanced disease may be amenable to targeted therapy using tyrosine kinase inhibitors. This article is protected by copyright. All rights reserved.

PURPOSE/OBJECTIVE:Several biomarkers of response to immune checkpoint inhibitors (ICI) show potential but are not yet scalable to the clinic. We developed a pipeline that integrates deep learning on histology specimens with clinical data to predict ICI response in advanced melanoma. EXPERIMENTAL DESIGN/METHODS:We used a training cohort from New York University (New York, NY) and a validation cohort from Vanderbilt University (Nashville, TN). We built a multivariable classifier that integrates neural network predictions with clinical data. A ROC curve was generated and the optimal threshold was used to stratify patients as high versus low risk for progression. Kaplan-Meier curves compared progression-free survival (PFS) between the groups. The classifier was validated on two slide scanners (Aperio AT2 and Leica SCN400). RESULTS:= 0.03 for the Leica SCN400). CONCLUSIONS:Histology slides and patients' clinicodemographic characteristics are readily available through standard of care and have the potential to predict ICI treatment outcomes. With prospective validation, we believe our approach has potential for integration into clinical practice.

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 epi-demiological parameters. Here, we report the analysis of 864 SARS-CoV-2 sequences from cases in the New York City metropolitan area during the COVID-19 outbreak in Spring 2020. The majority of cases had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that early transmission was most linked to cases from Europe. Our data are consistent with numerous seeds from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of genomic surveillance in addition to traditional epidemiological indicators.

Perineural invasion, or neurotropism, is defined by the presence of cancer cells either within the neuronal sheath or found along the nerves. In melanoma, it is most commonly associated with invasive desmoplastic melanoma, a melanoma that is most commonly associated with malignant melanoma in situ, lentigo maligna type. Initially, perineural invasion was included in the reported Breslow thickness, however, recent data suggests that it should not be included. In this report we describe a case of malignant melanoma in-situ, lentigo maligna type, with associated neurotropism in the absence of invasive component. This article is protected by copyright. All rights reserved.