Immunocytochemically detected free peritoneal tumour cells (FPTC) are a strong prognostic factor in gastric carcinoma

Br J Cancer. 1999 Feb;79(3-4):611-9. doi: 10.1038/sj.bjc.6690096.

Abstract

We prospectively investigated the prognostic significance of free peritoneal tumour cells (FPTC) in a series of 118 patients with completely resected gastric carcinoma. Immunocytochemistry with the monoclonal antibody Ber-Ep4 was performed on cytospins from intraoperative peritoneal lavage specimens. Twenty-three patients (20%) had FPTC which was significantly correlated with pT and pN categories, stage, tumour size, lymphatic invasion, Laurèn and WHO classifications and perigastric adipose tissue metastases. The median survival time for all FPTC positive compared with negative patients was significantly shorter (11 compared with >72 months), with estimated 5-year survival rates of 8% vs. 60%. None of the patients with FPTC had an early gastric cancer. In advanced tumour subgroups without and with serosal invasion (n = 59 and 35), there were 19% and 34% with FPTC. Multivariate survival analysis showed nodal status, FPTC, mesenteric lymphangiosis, and lymph node metastasis to the compartment III to be independent prognostic factors with relative risks of 6.6, 4.5, 2.9 and 2.2 respectively. Recurrent disease occurred in 91% of FPTC-positive and in 38% of FPTC-negative patients. FPTC had a positive predictive value of 91% and a specificity of 97% for tumour recurrence. FPTC is a strong negative, independent prognostic indicator for survival in gastric carcinoma.

MeSH terms

  • Adipose Tissue / pathology
  • Adult
  • Aged
  • Ascitic Fluid / cytology*
  • Carcinoma / pathology*
  • Carcinoma / surgery
  • Female
  • Humans
  • Immunohistochemistry
  • Male
  • Middle Aged
  • Neoplasm Recurrence, Local
  • Neoplasm Staging / methods*
  • Peritoneal Lavage
  • Predictive Value of Tests
  • Prognosis
  • Prospective Studies
  • Sensitivity and Specificity
  • Stomach Neoplasms / pathology*
  • Stomach Neoplasms / surgery
  • Survival Analysis