Transcriptome analysis and artificial intelligence for predicting lymph node metastasis of esophageal squamous cell carcinoma
AI and transcriptome analysis can be used to create a risk model for predicting LNM, and it can enhance prediction accuracy and inform clinical staging and decision-making before surgery.
Authors
- Dongmei Lai (ORCID: https://orcid.org/0000-0003-3810-2136)
- Liang Jin (ORCID: https://orcid.org/0000-0002-7552-7849)
- Wanli Lin (ORCID: https://orcid.org/0000-0002-2820-8765)
- Zhengang Zhao
- Ikenna Okereke (ORCID: https://orcid.org/0000-0001-5652-985X)
- Yujie Xie (ORCID: https://orcid.org/0000-0002-2260-9242)
Institutions
- Henry Ford Health System (US)
- Guangdong Medical College (CN)
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Gaozhou People's Hospital (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2025-05-01
- DOI
- https://doi.org/10.21037/jtd-2025-662
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00