Atezolizumab induced new-onset type 1 diabetes mellitus.

INTRODUCTION: Immune checkpoint inhibitors (ICI) are novel therapeutic strategies in cancer treatment, promoting anti-tumor response by boosting cytotoxic T lymphocytes. Despite their high effectiveness, they can trigger the activation of diverse autoimmune diseases in genetically predisposed individuals. New-onset autoimmune diabetes mellitus type 1 (T1D) is an extremely unusual side effect, described in less than 1% of patients. CASE REPORT: Here we present a 44-year-old male diagnosed with non-surgical hepatocarcinoma, developing programmed death ligand-1 inhibitor-induced autoimmune endocrinopathies, presented as diabetic ketoacidosis and thyroiditis. After two cycles of atezolizumab and bevacizumab, he consulted the emergency department with abdominal pain and diabetes cardinal features (polyuria, polydipsia, vomiting). Blood tests demonstrated hyperglycemia >800 mg/dL, capillary ketonemia >3 mmol/L, metabolic acidosis (pH 7.24 with HCO3 14 mEq/L). Subsequent studies detected a low level of C-peptide, and positive glutamic acid decarboxylase and insulinoma-associated antigen-2 antibodies. Thyroid examination was compatible with thyroiditis, showing a high free thyroxine level (1.91 ng/dL) with low thyrotropin (TSH) (0.08 mIU/L) and negative anti-TSH receptor antibody. MANAGEMENT & OUTCOME: After reaching metabolic stabilization, treatment with Atezolizumab was restarted, with no further complications showing size stability in the computed tomography control. DISCUSSION: T1D related to ICI is a rare condition that presents as a life-threatening emergency and should be recognized and treated early. Blood glucose and glycated hemoglobin determinations should be performed at periodic visits for detection. There are genetic factors that predispose susceptible individuals, but there is no evidence of studies to be performed before the onset of ICI or preventive strategies.

Next-generation sequencing of bile cell-free DNA for the early detection of patients with malignant biliary strictures.

OBJECTIVE: Despite significant progresses in imaging and pathological evaluation, early differentiation between benign and malignant biliary strictures remains challenging. Endoscopic retrograde cholangiopancreatography (ERCP) is used to investigate biliary strictures, enabling the collection of bile. We tested the diagnostic potential of next-generation sequencing (NGS) mutational analysis of bile cell-free DNA (cfDNA). DESIGN: A prospective cohort of patients with suspicious biliary strictures (n=68) was studied. The performance of initial pathological diagnosis was compared with that of the mutational analysis of bile cfDNA collected at the time of first ERCP using an NGS panel open to clinical laboratory implementation, the Oncomine Pan-Cancer Cell-Free assay. RESULTS: An initial pathological diagnosis classified these strictures as of benign (n=26), indeterminate (n=9) or malignant (n=33) origin. Sensitivity and specificity of this diagnosis were 60% and 100%, respectively, as on follow-up 14 of the 26 and eight of the nine initially benign or indeterminate strictures resulted malignant. Sensitivity and specificity for malignancy of our NGS assay, herein named Bilemut, were 96.4% and 69.2%, respectively. Importantly, one of the four Bilemut false positives developed pancreatic cancer after extended follow-up. Remarkably, the sensitivity for malignancy of Bilemut was 100% in patients with an initial diagnosis of benign or indeterminate strictures. Analysis of 30 paired bile and tissue samples also demonstrated the superior performance of Bilemut. CONCLUSION: Implementation of Bilemut at the initial diagnostic stage for biliary strictures can significantly improve detection of malignancy, reduce delays in the clinical management of patients and assist in selecting patients for targeted therapies.

Infliximab-induced hypoglycemia, a rare but relevant side effect.

Tumor necrosis factor (TNF) inhibitors are part of the therapeutic arsenal for many immune-mediated diseases and, especially in inflammatory bowel disease (IBD), have led to a change in the management of this disease.

Pilot Multi-Omic Analysis of Human Bile from Benign and Malignant Biliary Strictures: A Machine-Learning Approach.

Cholangiocarcinoma (CCA) and pancreatic adenocarcinoma (PDAC) may lead to the development of extrahepatic obstructive cholestasis. However, biliary stenoses can also be caused by benign conditions, and the identification of their etiology still remains a clinical challenge. We performed metabolomic and proteomic analyses of bile from patients with benign (n = 36) and malignant conditions, CCA (n = 36) or PDAC (n = 57), undergoing endoscopic retrograde cholangiopancreatography with the aim of characterizing bile composition in biliopancreatic disease and identifying biomarkers for the differential diagnosis of biliary strictures. Comprehensive analyses of lipids, bile acids and small molecules were carried out using mass spectrometry (MS) and nuclear magnetic resonance spectroscopy (1H-NMR) in all patients. MS analysis of bile proteome was performed in five patients per group. We implemented artificial intelligence tools for the selection of biomarkers and algorithms with predictive capacity. Our machine-learning pipeline included the generation of synthetic data with properties of real data, the selection of potential biomarkers (metabolites or proteins) and their analysis with neural networks (NN). Selected biomarkers were then validated with real data. We identified panels of lipids (n = 10) and proteins (n = 5) that when analyzed with NN algorithms discriminated between patients with and without cancer with an unprecedented accuracy.