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Original Article
Trajectory of Lymph Node Metastasis Reflects the Molecular Features of Esophageal Squamous Cell Carcinoma
Jiho Park1orcid , Seong Yong Park2,a)orcid , Ha Eun Kim2, Se-Young Jo1, JeongSoo Won1, Dae Joon Kim2orcid , Sangwoo Kim1orcid

DOI: https://doi.org/10.4143/crt.2025.257 [Accepted]
Published online: October 15, 2025
1Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Korea
2Department of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, Korea

a)Present Address: Department of Thoracic and Cardiovascular Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, 2066 Seobu-Ro, Suwon 16419, Republic of Korea
Corresponding author:  Dae Joon Kim
Tel: 82-2-3410-1696 
Email: kdjcool@yuhs.ac
Sangwoo Kim
Tel: 82-2-2228-2589 
Email: swkim@yuhs.ac
Jiho Park and Seong Yong Park contributed equally to this work.
Received: 5 March 2025   • Accepted: 14 October 2025
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Purpose
Esophageal squamous cell carcinoma (ESCC) is frequently accompanied by lymph node metastasis (LNM) to the neck, chest, and abdomen. Despite its significance as a key prognostic factor, the genomic trajectory of LNM remains poorly understood. This study aimed to characterize the underlying patterns and genomic characteristics of LNM.
Materials and Methods
Whole-exome sequencing and transcriptome sequencing were performed on 45 multiregional samples (10 primary tumors, 10 normal esophageal tissues, and 25 lymph node tumors) from 10 ESCC patients who underwent esophagectomy with three-field lymphadenectomy. The temporal trajectory of metastasis was reconstructed through phylogenetic analysis, leveraging somatic mutations identified in the primary tumor and lymph nodes.
Results
Somatic mutations preceding metastasis included major driver mutations, such as TP53 and KMT2D, and displayed a mutational process associated with alcohol consumption (SBS16), emphasizing its influence on early tumorigenesis. In contrast, post-lymph node metastatic mutations were sporadic. Lymph nodes seeded later acquired mutations at a faster rate, suggesting increased genomic instability. In three of nine patients (33%), nodal skip metastasis (NSM) was observed, including two cases detected exclusively via genomic analysis, highlighting the necessity of phylogenetic assessment to avoid misclassification. Transcriptome analysis revealed activation of epithelial-mesenchymal transition and KRAS signaling pathways in NSM tumors, indicative of poor prognostic outcomes.
Conclusion
Our study provides a molecular understanding of LNM, emphasizes the potential importance of node-skipping patterns in ESCC, and underscores the utility of genomic analysis in elucidating the connection between LNM.

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