Background: Immune checkpoint inhibitors (ICIs), including those targeting PD-1, are currently used in a wide range of tumors, but only 20-40% of patients achieve clinical benefit. The objective of our study was to find predictive peripheral blood-based biomarkers for ICI treatment.
Methods: In 41 patients with advanced malignant melanoma (MM) and NSCLC treated with PD-1 inhibitors, we analyzed peripheral blood-based immune subsets by flow cytometry before treatment initialization and the second therapy dose.
Circadian rhythms in mammals arise from the spatiotemporal synchronization of ~20,000 neuronal clocks in the Suprachiasmatic Nucleus (SCN). While anatomical, molecular, and genetic approaches have revealed diverse cell types and signaling mechanisms, the network wiring that enables SCN cells to communicate and synchronize remains unclear. To overcome the challenges of revealing functional connectivity from fixed tissue, we developed MITE (Mutual Information & Transfer Entropy), an information theory approach that infers directed cell-cell connections with high fidelity.
View Article and Find Full Text PDFEsophageal and gastric cancer are diseases with a serious prognosis. While the incidence of gastric cancer is decreasing, the incidence of the gastroesophageal junction and esophageal cancer is increasing. Men are affected more often than women.
View Article and Find Full Text PDFBackground: Immunotherapy is one of the fundamental treatment modalities, especially in the treatment of metastatic non-small cell lung carcinoma, but it is also applied in neoadjuvant, or adjuvant therapy. A certain limitation continues to be immune-mediated toxicity and the broad clinical spectrum of its manifestations, which can present considerable differential diagnostic challenges.
Case: We present a case of a female patient who has been treated at our institute since February 2023 for metastatic squamous cell carcinoma of the right lung with first-line systemic therapy of pembrolizumab in initial combination with carboplatin and paclitaxel.
This Focus Issue covers recent developments in the broad areas of nonlinear dynamics, synchronization, and emergent behavior in dynamical networks. It targets current progress on issues such as time series analysis and data-driven modeling from real data such as climate, brain, and social dynamics. Predicting and detecting early warning signals of extreme climate conditions, epileptic seizures, or other catastrophic conditions are the primary tasks from real or experimental data.
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