title: DNA analysis in hepatoblastoma by flow and image cytometry.
abstract: BACKGROUND
  In several types of tumors, including hepatocellular carcinoma, prognosis could be correlated with DNA ploidy. Few studies have been performed on hepatoblastoma with contradictory results.
  
  
  METHODS
  Twenty-nine cases of nonpretreated hepatoblastoma were studied with flow cytometry and image cytometry for DNA index and proliferation index using paraffin-embedded tissue.
  
  
  RESULTS
  Twenty-three (79.9%) tumors were diploid, and 6 (20.7%) were aneuploid (hyperdiploid). Patients with diploid tumors were younger than those with aneuploid tumors. With regard to stage, diploid tumors were almost equally distributed among stages (tumor, lymph node metastases, distant metastases), whereas aneuploid tumors tended to occur in higher stages (tumor, lymph node metastases, distant metastases). Diploid tumors had clearly a better prognosis than aneuploid tumors, although the difference was not statistically significant (flow cytometry, P = 0.06; image cytometry, P = 0.16). A more favorable prognosis was also noted for hepatoblastomas with low-proliferation index (< or = 7%), but the difference from tumors with high-proliferation index (> 7%) again was not statistically significant (P = 0.16).
  
  
  CONCLUSIONS
  Although no statistically significant differences in prognosis between hepatoblastomas with diploid and aneuploid DNA content, respectively, were found, there is a clear tendency that diploid hepatoblastomas behave more favorably. The same is true for hepatoblastomas with low-proliferation index.
authors.affiliation: Institute of Pathology, Christian Albrecht University Kiel, Germany.
authors.forename: D
authors.initials: D
authors.lastname: Schmidt
authors.forename: P
authors.initials: P
authors.lastname: Wischmeyer
authors.forename: I
authors.initials: I
authors.lastname: Leuschner
authors.forename: E
authors.initials: E
authors.lastname: Sprenger
authors.forename: E
authors.initials: E
authors.lastname: Langenau
authors.forename: D
authors.initials: D
authors.lastname: von Schweinitz
authors.forename: D
authors.initials: D
authors.lastname: Harms
mesh_terms: D000782:Aneuploidy; D002455:Cell Division; D002648:Child; D002675:Child, Preschool; D004273:DNA, Neoplasm / Q000032:analysis*; D004171:Diploidy; D005260:Female; D005434:Flow Cytometry; D018197:Hepatoblastoma / Q000737:chemistry* / Q000401:mortality / Q000473:pathology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007223:Infant; D008113:Liver Neoplasms / Q000737:chemistry* / Q000401:mortality / Q000473:pathology; D008297:Male; D011379:Prognosis; D015996:Survival Rate
chemical_list: D004273:DNA, Neoplasm