Abstract

Abstract Background Histologically, esophageal adenocarcinoma is broadly divided into two morphological subtypes: intestinal and diffuse types, with the latter conferring a worse prognosis. However, the present classification system does not account for morphological heterogeneity and the clinical and prognostic implications of this heterogeneity remains uncertain. This study focuses on elucidating the clinical and prognostic significance of the various EAC morphological patterns. Methods We identified surgical resection cases conducted at a single center from 2008 to the present date. All tumour-containing slides were analyzed, and the percentages of each morphological pattern was calculated. The overall percentage of each morphology was determined by summing across all tumour slides per case. Cases were stratified by neoadjuvant treatment status. Results This study reviewed 106 surgical resection cases. Seventy cases (58 male, 12 female, 59.26 +/− 11.12 years) received neoadjuvant treatment prior to surgery, while 36 cases (29 male, 7 female, 66.36 +/− 11.85 years) did not. A similar average slide number was obtained from treated versus untreated cases (10.13 +/− 7.43 slides vs 9.14 +/− 8.57, p = 0.5391). Morphological heterogeneity (i.e., 3+ morphologies occupying >10% of the tumor) was not different between treated and untreated cases (33% versus 24.2%, p = 0.35). Subgroup analysis revealed a significant increase in tumor morphological heterogeneity with poorer neoadjuvant treatment response (score 3) (p < 0.05). Conclusions To our knowledge, this is the first study investigating the clinical and prognostic implications of the heterogeneous morphological patterns observed in EAC. Our results suggest that tumours with poor response to neoadjuvant therapy are more likely to exhibit significant morphological heterogeneity. We are currently exploring whether specific morphological patterns are linked to adverse prognosis and poor response to neoadjuvant therapy. These findings have the potential to guide clinical decision-making in EAC.

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