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. 2022 Jul-Sep;48(3):284-291.
doi: 10.12865/CHSJ.48.03.06. Epub 2022 Sep 30.

Classification and Grading Systems in Gastric Adenocarcinomas

Oana Iulia Crețu  1 , Alex Emilian Stepan  2 , Cristiana Eugenia Simionescu  2 , Daniela Marinescu  3 , Mioara Desdemona Stepan  4
Affiliations

Classification and Grading Systems in Gastric Adenocarcinomas

Oana Iulia Crețu et al. Curr Health Sci J. 2022 Jul-Sep.

Abstract

Gastric adenocarcinomas are lesions that raise important issues in clinical practice, due to their incidence and biological behavior. Over time, various systems have been used for classifying and grading of gastric adenocarcinomas, in the hope of increasing the diagnostic accuracy. In this study we statistically analyzed 112 cases of gastric adenocarcinomas in relation to different classification and grading systems, in order to identify their efficacy and concordance in the histopathological diagnosis. The results indicated a significant association of the Lauren and World Health Organization 2019 classifications and also between these and the three-tier and two-tier grading systems, which supports their practical utility in establishing the diagnosis and assessment of the tumor aggressiveness, for the differentiated therapy.

Keywords: Gastric adenocarcinoma; Lauren classification; WHO classification; degree of differentiation; histopathological type.

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Conflict of interest statement

None to declare

Figures

Figure 1
Figure 1
Distribution of cases in relation to the Lauren and WHO 2019 classification systems
Figure 2
Figure 2
Gastric adenocarcinoma, HE staining, x200. A. Tubular adenocarcinoma. B. PCC-SRC. C. PCC-NOS. D. Mucinous adenocarcinoma. E. Mixed adenocarcinoma. F. Hepatoid adenocarcinoma.
Figure 3
Figure 3
Distribution of cases according to the Lauren classification (A,B) and WHO 2019 (C,D) and the three-tier (A,C) and two-tier (B,D) grading systems; G1 (well differentiated); G2 (moderate differentiated); G3 (poorly differentiated); LG (low grade); HG (high grade).
See this image and copyright information in PMC

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