ArticleCancer research and treatment2026
Trajectory of Lymph Node Metastasis Reflects the Molecular Features of Esophageal Squamous Cell Carcinoma.
Article in Cancer research and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Prognostic significance of nodal skip metastasis in node-positive thoracic esophageal squamous cell carcinoma after esophagectomy.Journal of thoracic disease · 2026Article
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7 authors.
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Abstract
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 (33.3%), 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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