The first evidence of hereditary and familial gastric cancer in Latvia: Implications for prevention

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Background and Objective: Gastric cancer is a frequent cause of cancer mortality. The prognosis of established tumor is unfavorable due to the propensity to spread and limited treatment efficiency. Therefore, prevention has a high significance. We tested a population screening approach in order to identify families with an increased gastric cancer load for further surveillance. Material and Methods: Population screening was performed by questionnaire reaching 76.6% of the population. Hereditary gastric cancer (HGC) syndrome was diagnosed if 3 mutually first-degree relatives with gastric cancer were reported in the kindred. Additional group (HGC2) of families with 2 first-degree relatives affected by gastric cancer was identified. Results: The HGC syndrome was diagnosed in 0.11%, but HGC2 syndrome, in 0.4% probands. The gastric cancer frequency among blood relatives was 25.2% (95% CI, 20.6%-30.4%) in HGC, but 16.0% (95% CI, 13.8%-18.5%) in HGC2 families. The mean age at diagnosis of cancer was 56.9 years (95% CI, 53.4-60.3) in HGC and 62.5 years (95% CI, 60.1-64.8) in HGC2. The mean survival was 2.6 years (95% CI, 1.2-4.0). Conclusions: Population screening identifies reasonable number of families with a high frequency of gastric cancer. The frequency of gastric cancer and an unfavorable course characterized by low survival justify surveillance in families with 2 or 3 first-degree relatives affected by gastric cancer. Population screening provides the age characteristics of the respective tumors in order to adjust the surveillance schedule.

Original languageEnglish
Pages (from-to)317-323
Number of pages7
JournalMedicina (Lithuania)
Issue number6
Publication statusPublished - 2012


  • Familial gastric cancer
  • Hereditary cancer
  • Hereditary gastric cancer
  • Population screening

Field of Science*

  • 3.2 Clinical medicine

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database


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