Clinical Significance and Prognostic Implications of Discontinuous Growth Pattern in Esophageal Adenocarcinoma: A Multi-Institutional Study.

The significance of discontinuous growth (DG) of the tumor to include tumor deposits and intramural metastasis in esophageal adenocarcinoma (EAC) is unclear. Esophagectomy specimens from 151 treatment-naïve and 121 treated patients with EAC were reviewed. DG was defined as discrete (≥2 mm away) tumor foci identified at the periphery of the main tumor in the submucosa, muscularis propria, and/or periadventitial tissue. Patients' demographics, clinicopathologic parameters, and oncologic outcomes were compared between tumors with DG versus without DG. DGs were identified in 16% of treatment-naïve and 29% of treated cases ( P =0.01). Age, gender, and tumor location were comparable in DG+ and DG- groups. For the treatment-naïve group, DG+ tumors were larger with higher tumor grade and stage and more frequent extranodal extension, lymphovascular/perineural invasion, and positive margin. Patients with treated tumors presented at higher disease stages with higher rates of recurrence and metastasis compared with treatment-naïve patients. In this group, DG was also associated with TNM stage and more frequent lymphovascular/perineural spread and positive margin, but not with tumor size, grade, or extranodal extension. In multivariate analysis, in all patients adjusted for tumor size, lymphovascular involvement, margin, T and N stage, metastasis, neoadjuvant therapy status, treatment year, and DG, DG was found to be an independent adverse predictor of survival outcomes in EAC. DG in EAC is associated with adverse clinicopathologic features and worse patient outcomes. DG should be considered throughout the entire clinicopathologic evaluation of treatment-naïve and treated tumors as well as in future staging systems.

Artificial intelligence reveals features associated with breast cancer neoadjuvant chemotherapy responses from multi-stain histopathologic images.

Advances in computational algorithms and tools have made the prediction of cancer patient outcomes using computational pathology feasible. However, predicting clinical outcomes from pre-treatment histopathologic images remains a challenging task, limited by the poor understanding of tumor immune micro-environments. In this study, an automatic, accurate, comprehensive, interpretable, and reproducible whole slide image (WSI) feature extraction pipeline known as, IMage-based Pathological REgistration and Segmentation Statistics (IMPRESS), is described. We used both H&E and multiplex IHC (PD-L1, CD8+, and CD163+) images, investigated whether artificial intelligence (AI)-based algorithms using automatic feature extraction methods can predict neoadjuvant chemotherapy (NAC) outcomes in HER2-positive (HER2+) and triple-negative breast cancer (TNBC) patients. Features are derived from tumor immune micro-environment and clinical data and used to train machine learning models to accurately predict the response to NAC in breast cancer patients (HER2+ AUC = 0.8975; TNBC AUC = 0.7674). The results demonstrate that this method outperforms the results trained from features that were manually generated by pathologists. The developed image features and algorithms were further externally validated by independent cohorts, yielding encouraging results, especially for the HER2+ subtype.

Acute Liver Injury in the setting of Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) Syndrome with Cocaine as suspected culprit agent: A case report.

Drug Reaction with Eosinophilia and Systemic Response (DRESS) syndrome is a rare hypersensitivity reaction characterized by rash, fever, lymphadenopathy, and visceral involvement. The liver is frequently involved in DRESS, with increased liver enzymes and hepatomegaly. Over 40 drugs have been implicated in the induction of DRESS, however other illicit substances have also been linked to this. Prompt identification of this syndrome is imperative for management. We report the case of patient presenting with acute liver injury and eosinophilia, who developed a rash meeting criterion for DRESS, with Cocaine as the suspected culprit agent, and was successfully treated with conservative measures.

Upper Gastrointestinal Cancer: Delays in Diagnosis and Treatment Caused by Barriers to Healthcare in the Latino Community.

We report a case of an 81-year-old male immigrant from a Latin American developing country with a high burden of upper gastrointestinal neoplasms, who presented with a small bowel gastrointestinal stromal tumor (GIST) after 2 years of delay in the diagnosis due to multiple barriers to healthcare. The patient presented with a partial intestinal obstruction in an abdominal computed tomography (CT) scan suggestive of a GIST. Surgical resection was performed, and adjuvant therapy was initiated with imatinib (a tyrosine kinase inhibitor) after the diagnosis was confirmed. The patient had a successful outcome. Due to his migratory status, the patient planned to follow up with different health providers in two different countries, which constitutes a common challenge in the immigrant population.