Early Gastric Carcinoma: Analysis of its Growth Patterns

Inokuchi, Kiyoshi

doi:10.1007/978-1-4684-5149-8_10

Cited by 1 publication

(2 citation statements)

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“…In addition, significant P-values have been found on comparison of NORA values relating to pT and pN status and to tumour stage. In our opinion, the differences in NORA values may be due to a slower cell cycle time in EGC than AGC; it is well known that a considerable number of EGC have a relatively slow rate of growth [16,45]. However, it has been noted that in the natural history of gastric carcinoma the duration of early phase is extremely variable: some cancers begin to invade very soon, while others take more than 10 years to enter the advanced phase [12,35].…”

Section: Discussionmentioning

confidence: 89%

“…However, it has been noted that in the natural history of gastric carcinoma the duration of early phase is extremely variable: some cancers begin to invade very soon, while others take more than 10 years to enter the advanced phase [12,35]. Carcinomas of the latter type are more likely to be detected at the stage of EGC, while cases with a rapid growth have already become AGC before they are diagnosed [16,35]. Nevertheless, studies performed by cell kinetic methods have not found any differences in the growth fraction between EGC and AGC [12,20,39].…”

Section: Discussionmentioning

confidence: 99%

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Prognostic significance of standardized AgNOR analysis in early and advanced gastric carcinomas

et al. 1998

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To assess the prognostic significance of silver-stained nucleolar organizer region (AgNOR) proteins, a standardized AgNOR analysis was performed on 78 patients affected by early (EGC, n=24) or advanced (AGC, n=54) gastric carcinomas. The histopathological diagnosis, grading and staging were done according to WHO and UICC recommendations; the mean follow-up time was 56.9 months. Visualization and quantification of AgNORs were made in formalin-fixed, paraffin-embedded sections as specified in the guidelines of the Committee on AgNOR Quantification (1995). Statistical analysis was performed on the mean AgNOR area values (NORA). Highly significant differences (P<0.001) were found in NORA values between EGC and AGC, between low- and high-grade gastric carcinomas and between patients dead from gastric cancer and living patients. In addition, significant P values were found on comparison of NORA values relating to pT status, pN status and stage. Comparison of Kaplan-Meier survival curves revealed that patients affected by gastric carcinomas with higher NORA values (>5.213 microm2) had a worse prognosis. Finally, using Cox multiple regression analysis, the AgNOR quantity emerged as a useful independent prognostic variable to predict the final outcome of patients affected by EGC or AGC.

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Section: Discussionmentioning

confidence: 89%