Locally Advanced Gastric Carcinoma

This phase I trial tests the safety, side effects, and best dose of azenosertib in combination with trastuzumab deruxtecan in treating patients with HER2-positive and cyclin E amplified gastric or gastroesophageal junction cancer and other HER2-positive solid tumors that have spread to nearby tissue or lymph nodes (locally advanced), that have spread from where it first started (primary site) to other places in the body (metastatic), or that cannot be removed by surgery (unresectable). Azenosertib is in a class of medications called kinase inhibitors. It inhibits a protein called Wee1. Inhibition of the Wee1 protein can make tumor cells more vulnerable to chemotherapy drugs, leading to tumor cell death. Trastuzumab deruxtecan is in a class of medications called antibody-drug conjugates. It is composed of a monoclonal antibody, called trastuzumab, linked to a chemotherapy drug, called deruxtecan. Trastuzumab attaches to HER2 positive cancer cells in a targeted way and delivers deruxtecan to kill them. Giving azenosertib in combination with trastuzumab deruxtecan may be safe, tolerable, and/or more effective in treating patients with locally advanced, metastatic, or unresectable HER2-positive gastric, gastroesophageal junction, or other solid tumors, compared to just trastuzumab deruxtecan alone.

The goal of this clinical trial is to evaluate the major pathological response (MPR) rate of locally advanced gastric cancer / gastroesophageal junction cancer treated with bemosumab combined with antiangiogenic drugs and neoadjuvant chemotherapy.
Researchers will use drug Benmelstobart in combination with antiangiogenesis drugs and newadjuvant chemotherapy to see if the drug works to treat locally advanced gastric cancer / gastroesophageal junction cancer.
Participants will:injection drug Benmelstobart，On the first day of each cycle, 3 weeks (21 days) were a treatment cycle.

In this study, investigators utilize a radiopathomics integrated Artificial Intelligence (AI) supportive system to predict tumor response to neoadjuvant chemoradiotherapy (nCRT) before its administration for patients with locally advanced gastric cancer (LAGC). By the system, the postoperative tumor regression grade (TRG) of the participants will be identified based on the radiopathomics features extracted from the pre-nCRT Enhanced CT and biopsy images. The ability to predict TRG will be validated in this multicenter, prospective clinical study.