NCT07668037招募中不适用
Characterization of Multi-Omics Landscapes in Long-Term Survival Following Immunotherapy and Development of an AI Pathological Prediction Model for Long-Term Survival Based on H&E-Stained Images in Advanced Non-Small Cell Lung Cancer
Cancer Institute and Hospital, Chinese Academy of Medical Sciences1 个研究点 分布在 1 个国家目标入组 600 人开始时间: 2026年5月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 600
- 试验地点
- 1
研究概览
简要总结
This study is a retrospective, multicenter, observational cohort study in patients with advanced or locally advanced non-small cell lung cancer (NSCLC). The aim of this study was to establish a long-term survival (LTS) versus short-term survival (STS) real-world cohort, to systematically characterize the multi-omics landscapes, and to develop and validate an artificial intelligence (AI) pathological prediction model based on routine H&E-stained images for predicting immune microenvironment features and long-term survival outcomes following immunotherapy.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients with pathologically confirmed advanced or locally advanced non-small cell lung cancer (NSCLC).
- •Patients derived from real-world data of multiple centers (including Cancer Hospital, Chinese Academy of Medical Sciences; Cancer Hospital of Shanxi, Chinese Academy of Medical Sciences [Shanxi Cancer Hospital]; and other participating centers) or from completed phase III clinical trials (e.g., Choice-01, Rationale-307, Rationale-304).
- •Patients who received first-line or later-line immune checkpoint inhibitor (ICI) monotherapy or ICI-based combination therapy.
- •Patients with complete clinical information and available follow-up data.
排除标准
- •Patients whose systemic therapy did not include an immunotherapy regimen.
- •Patients lost to follow-up.
研究者
Jie Wang
Chief of Medical Oncology
Cancer Institute and Hospital, Chinese Academy of Medical Sciences
研究点 (1)
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