Faculty Bibliography

RATIONALE AND OBJECTIVES/OBJECTIVE:To date, no clinically useful classification system has been developed for reliably differentiating mucinous cystic neoplasm (MCN) from a benign hepatic cyst (BHC) in the liver. The objective was to use machine learning and a multi-center study design to develop and assess the performance of a novel classification system for predicting whether a hepatic cystic lesion represents MCN or BHC. MATERIALS AND METHODS/METHODS:A multi-center cohort study identified 154 surgically resected hepatic cystic lesions in 154 subjects which were pathologic confirmed as MCN (43) or BHC (111). Readers at each institution recorded seven pre-determined imaging features previously identified as potential differentiating features from prior publications. The contribution of each of these features to differentiating MCN from BHC was assessed by machine learning to develop an optimal classification system. RESULTS:Although several of the assessed imaging features demonstrated statistical significance, only 3 imaging features were found by machine learning to significantly contribute to a potential classification system: (1) solid enhancing nodule (2) all septations arising from an external macro-lobulation (3) whether the lesion was solitary or one of multiple cystic liver lesions. The optimal classification system had only four categories and correctly identified 144/154 lesion (93.5%). CONCLUSION/CONCLUSIONS:This multi-center follow-up study was able to use machine learning to develop a highly accurate classification system for differentiation of hepatic MCN from BHC, which could be readily applied to clinical practice.

Anastomosing hemangioma (AH) is a rare, benign vascular neoplasm with distinctive histopathology and characteristic tumor distribution. AHs show marked proclivity to involve the kidneys, gonads and the retroperitoneal soft tissues; kidney is the most common target site often in the context of end stage renal disease. Recent studies have identified activating mutations of GNA genes that drive the molecular pathogenesis of AHs. AH appears as a solitary, well-circumscribed, hypervascular tumor that charters a benign course with an excellent prognosis. The purpose of this article is to provide a current update on clinical, pathological and imaging features of anastomotic hemangioma.

Background: Bile duct brush cytology (B

Tumor genotype can influence the immune microenvironment, which plays a critical role in cancer development and therapy resistance. However, the immune effects of gain-of-function Trp53 mutations have not been defined in pancreatic cancer. We compare the immune profiles generated by Kras^G12D-mutated mouse pancreatic ductal epithelial cells (PDECs) engineered genetically to express the Trp53^R172H mutation with their p53 wild-type control. Kras^G12D/+;Trp53^R172H/+ tumors have a distinct immune profile characterized by an influx of CD11b⁺Ly6G⁺ neutrophils and concomitant decreases in CD3⁺ T cells, CD8⁺ T cells, and CD4⁺ T helper 1 cells. Knockdown of CXCL2, a neutrophil chemokine, in the tumor epithelial compartment of CRISPR Kras^G12D/+;Trp53^R172H/+ PDEC tumors reverses the neutrophil phenotype. Neutrophil depletion of mice bearing CRISPR Kras^G12D/+;Trp53^R172H/+ tumors augments sensitivity to combined CD40 immunotherapy and chemotherapy. These data link Trp53^R172H to the presence of intratumoral neutrophils in pancreatic cancer and suggest that tumor genotypes could inform selection of affected individuals for immunotherapy.

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

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

Pancreatic ductal adenocarcinoma (PDAC) is the third leading cause of cancer death in the United States. Glycans, such as carbohydrate antigen 19-9, are biomarkers of PDAC and are emerging as important modulators of cancer phenotypes. Herein, we used a systems-based approach integrating glycomic analysis of the well-established KC mouse, which models early events in transformation, and analysis of samples from human pancreatic cancer patients to identify glycans with potential roles in cancer formation. We observed both common and distinct patterns of glycosylation in pancreatic cancer across species. Common alterations included increased levels of α-2,3-sialic acid and α-2,6-sialic acid, bisecting GlcNAc and poly-N-acetyllactosamine. However, core fucose, which was increased in human PDAC, was not seen in the mouse, indicating that not all human glycomic changes are observed in the KC mouse model. In silico analysis of bulk and single-cell sequencing data identified ST6 beta-galactoside alpha-2,6-sialyltransferase 1, which underlies α-2,6-sialic acid, as overexpressed in human PDAC, concordant with histological data showing higher levels of this enzyme at the earliest stages. To test whether ST6 beta-galactoside alpha-2,6-sialyltransferase 1 promotes pancreatic cancer, we created a novel mouse in which a pancreas-specific genetic deletion of this enzyme overlays the KC mouse model. The analysis of our new model showed delayed cancer formation and a significant reduction in fibrosis. Our results highlight the importance of a strategic systems approach to identifying glycans whose functions can be modeled in mouse, a crucial step in the development of therapeutics targeting glycosylation in pancreatic cancer.

OBJECTIVES/OBJECTIVE:Small studies suggest that a new entity of high-grade (HG) (G3, by Ki-67 or mitotic index) well-differentiated (histologically) gastrointestinal neuroendocrine tumors (NETs) exists, but prognosis and characteristics are unknown. We further characterized demographics and prognosis of patients with colorectal G3 NETs. MATERIALS AND METHODS/METHODS:We used the Surveillance Epidemiology and End Results (SEER) database to study colorectal NETs diagnosed from 2000 to 2015. We evaluated demographic, clinical, and tumor characteristics. We compared overall survival (OS) for G1-2 NET, G3 NET, and NEC (neuroendocrine carcinoma). We used logistic regression to detect grade associations and Cox proportional hazards models to examine predictors of survival. RESULTS:We identified 5894 cases with colorectal NET (5780 [98.1%] G1-2 and 114 [1.9%] G3); the cohort was 66% white, 47% male, and had a median age of 54. Patients with G3 NET were likely to be older (odds ratio [OR]: 2.23; 95% confidence interval [CI]: 1.19-4.19 for 60 to 69 vs. <50), unmarried (OR: 1.56; 95% CI: 1.02-2.38), and less likely to be diagnosed after 2010 (OR: 0.09; 95% CI: 0.06-0.15). OS for G3 NET (median, 36 mo; 95% CI: 13-92) fell between OS for NEC (median, 7 mo; 95% CI: 6-8), and G1-2 NET (median not reached, >120 mo). Among G1-3 NETs, black patients (hazard ratio [HR]: 1.30; 95% CI: 1.03-1.62), older patients (HR: 3.63; 95% CI: 2.63-5.01 for age 60 to 69 vs. <50), unmarried patients (HR: 1.40; 95% CI: 1.17-1.68), and those with HG features (HR: 3.97; 95% CI: 3.15-4.99) had worse survival. CONCLUSIONS:We defined a subset of G3 NETs that are HG and well differentiated, more common in older, unmarried patients, with a prognosis between that of NEC and G1-2 NETs. Our analysis adds the first national registry study in support of a new classification of nonpancreatic HG and well-differentiated NETs.

A Correction to this paper has been published: https://doi.org/10.1038/s41587-019-0392-8.