Copyright: ©Author(s) 2026.
World J Gastrointest Oncol. Jun 15, 2026; 18(6): 117851
Published online Jun 15, 2026. doi: 10.4251/wjgo.v18.i6.117851
Published online Jun 15, 2026. doi: 10.4251/wjgo.v18.i6.117851
Figure 4 The comparison of cell-free DNA features grouped by lymph node metastasis status.
A: The cell-free DNA concentration; B: Number of circulating tumor DNA (ctDNA) variants; C: Average variant allele frequency (VAF) of ctDNA mutations; D: Average VAF of ctDNA TP53 mutations; E: Average VAF of ctDNA PIK3CA mutations; F: Average VAF of PTCH1 mutations of the lymph node negative and positive groups. cfDNA: Cell-free DNA; ctDNA: Circulating tumor DNA; LNM: Lymph node metastasis; VAF: Variant allele frequency.
- Citation: Gu RT, Li X, Cheng W, Wang XW, Jin H, Liu T. Machine-learning models integrating preoperative clinical factors and circulating tumor DNA features predict lymph node metastasis in esophageal carcinoma. World J Gastrointest Oncol 2026; 18(6): 117851
- URL: https://www.wjgnet.com/1948-5204/full/v18/i6/117851.htm
- DOI: https://dx.doi.org/10.4251/wjgo.v18.i6.117851