Developing a machine-learning model to enable treatment selection for neoadjuvant chemotherapy for esophageal cancer.

ABSTRACT: Although neoadjuvant chemotherapy with docetaxel + cisplatin + 5-fluorouracil (CF) has been the standard treatment for stage II and III esophageal cancers, it is associated with severe adverse events caused by docetaxel. Consequently, this study aimed to construct a prognostic system for CF regimens, especially for locally advanced esophageal cancers. Biopsy specimens from 82 patients treated with the CF regimen plus radical surgery were analyzed. Variants in 56 autophagy- and esophageal cancer-related genes were identified using targeted enrichment sequencing. Overall, 13 single-nucleotide variants, including 8 non-synonymous single-nucleotide variants, were identified as significantly associated with esophageal cancer recurrence (p < 0.05). Particularly, variants of ATG2A p.R478C and ULK

SUBMITTER: Miyawaki Y 

PROVIDER: S-EPMC12263820 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature