Establishment of nuclear grade evaluation method for endometrial endometrioid carcinoma, and the significance of separately evaluating nuclear atypia of the glandular and solid structure parts


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Article type :

Original Article

Author :

Haruhiko Yoshioka, Miho Iwaya, Kayo Horie, Yoshihito Yokoyama, Jun Watanabe

Volume :

4

Issue :

3

Abstract :

Aim: The objectives of this study were to: 1) establish a nuclear grade evaluation method for endometrioid carcinoma, and 2) evaluate the nuclear grade of each part in cases in which glandular and solid parts are present within the same tumor, and confirm its correlation with clinicopathological factors, through which the usefulness of this nuclear grade evaluation method was assessed. Material and Methods: Samples were 19 preparations of specimens (4 endometrium in proliferation phase, 8 endometrioid carcinoma G1 and 7 G3 cases) in HE-stained histological preparations (2-mm thin sections). The nuclear grade evaluation method for endometrioid carcinoma comprises 6 items of the nuclear atypia index and each item is scored 1-3. The nuclear grade (NG) was classified as follows based on the total score (6-18 points): NG-I, 6-10; II, 11-13; III, 14 -18. Then, in cases in which glandular and solid parts were present within the same tumor, the nuclear grades of these parts were separately evaluated. The nuclear grade pattern (glandular and solid part-nuclear grade score pattern: GS-NG pattern) was classified into 4 types: GS-NG patterns 1-4. The highest NG score in each case, designated as “ case nuclear grade (Case-NG) ”, was positively correlated with p53 expression, and two patients who died of primary disease were Case-NG III. Conclusion: Histological nuclear grade evaluation method for endometrioid carcinoma, and the significance of separately evaluating nuclear atypia of the glandular and solid structure parts, was a useful method.

Keyword :

 Endometrium, Endometrioid carcinoma EMC, Nuclear grade NG, Case-nuclear grade Case-NG Glandular and solid part-nuclear grade, score pattern GS-NG