Clinical Research Directory

A Study of MGC026 in Participants With Advanced Solid Tumors

The study is designed to understand the safety, tolerability, pharmacokinetics, immunogenicity, and preliminary antitumor activity of MGC026 in participants with relapsed or refractory, unresectable, locally advanced or metastatic solid tumors The study has a dose escalation portion and a cohort expansion portion of the study. Participants will receive MGC026 by intravenous (IV) infusion. The dose of MGC026 will be assigned at the time of enrollment. Participants may receive up to 35 treatments if there are no severe side effects and as long as the cancer does not get worse. Participants will be monitored for side effects, and progression of cancer, have blood samples collected for routing laboratory work, and blood samples collected for research purposes.

CT and Endoscopic Biopsy Image-Based Deep Learning for Predicting Left Recurrent Laryngeal Nerve Lymph Node Metastasis in Esophageal Cancer

The goal of this observational study is to develop a predictive model for left recurrent laryngeal nerve (RLN) lymph node metastasis using deep learning algorithms. The model will be developed using clinical data from previous esophageal cancer surgeries, including preoperative CT imaging, and histopathological images from gastroscopic biopsies. The model will also be validated through prospective clinical trials to guide the intraoperative lymph node dissection, thereby reducing postoperative risks of RLN injury.