ArticleDiscover oncology2025
The value and application of a poorly differentiated cluster-based Ezrin marginal score system in the prognostic assessment of colorectal cancer.
Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
aimThis study aimed to explore the distribution of Ezrin-positive cells in poorly differentiated cluster (PDC) of colorectal cancer (CRC), and its correlation with both traditional and auxiliary pathological indicators, including E-cadherin and tumor-stroma ratio (TSR), as well as patient prognosis.
methodsWe selected 59 patients with stage I-III who underwent radical surgery to observe the expression of CRC under hematoxylin and eosin (H&E) and immunohistochemistry (IHC) staining. This study establishes the poorly differentiated cluster-based Ezrin marginal score (PDC-EMS), which quantifies the tendency of Ezrin-positive cells to accumulate at the margins of PDC, to evaluate the validity and superiority of this assessment method.
resultsThe results indicate that PDC grading is significantly correlated with the TNM
conclusionThe innovative PDC-EMS scoring system developed in this study demonstrates functional consistency with both PDC grading and TB grading. Furthermore, this scoring system offers significant advantages in predicting prognosis and shows promising potential for clinical applications.
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