There are 3164 resources available
1404P - Predictive role of circulating cytokines in esophageal squamous cell carcinoma receiving chemoradiotherapy combined with anti-PD1 inhibitor: Pooled analyses of two phase II clinical trials
Presenter: Baoqing Chen
Session: Poster session 17
1405P - Long-term survival and post-hoc analysis of toripalimab plus definitive chemoradiotherapy for esophageal squamous cell carcinoma (EC-CRT-001 phase II trial)
Presenter: Ruixi Wang
Session: Poster session 17
Resources:
Abstract
1406P - Interim response evaluation from a phase II study of capecitabine, oxaliplatin, and anti-PD-1 in dMMR esophagogastric cancer (AuspiCiOus trial)
Presenter: Joris Bos
Session: Poster session 17
1407P - Pan-immune-inflammation value predicts the survival of patients with esophageal squamous cell carcinoma receiving immunotherapy and chemoradiotherapy: A pooled-analysis of two phase II trials
Presenter: Xingyuan Cheng
Session: Poster session 17
1408P - DVDMS (Sinoporphyrin sodium)-mediated photodynamic therapy (PDT) vs treatment of physician’s choice in patients with advanced esophageal cancer (EC): Preliminary results of DYNA-Esophagus03, a randomized, open-labeled, multicenter phase IIIb study
Presenter: Jun Zhou
Session: Poster session 17
1409P - Advancing esophageal cancer radiotherapy: AS-NeSt's 3D predictive proficiency for personalized dose distribution
Presenter: Yanhua Duan
Session: Poster session 17
Resources:
Abstract
1410P - Efficacy of fruquintinib plus paclitaxel (F+PTX) in patients (pts) with prior immunotherapy (prior-IO): Subgroup analysis from FRUTIGA study
Presenter: Lin Shen
Session: Poster session 17
1411P - AI-powered immune phenotype predicts favorable outcomes of nivolumab (niv) plus chemotherapy (chemo) in advanced fgastric cancer (AGC): A multi-center real-world data analysis
Presenter: Hyung-don Kim
Session: Poster session 17
1412P - Intestinal microbiota as a biological marker for pre-neoplastic lesion in gastric cancer in Amazonas, Brazil
Presenter: ÁBNER PAZ
Session: Poster session 17
Resources:
Abstract
1413P - Multi-modal deep-learning model for real-time prediction of recurrence in early-stage esophageal cancer: A multi-modal approach
Presenter: Hyun Ae Jung
Session: Poster session 17