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Interest of targeting AgNORs measurement in cycling cells: in vivo cell kinetic evaluation of non-small cell lung cancer.

Abstract
This study investigated the actual growth rate of 30 low stage operable non-small cell lung carcinomas, including disease-free surviving and deceased patients. The actual growth rate was defined as the cell production rate and was calculated from the growth fraction and the cell cycle time of each tumor at the time of surgical resection. The growth fraction was assessed by the Ki67 index while the cell cycle time was assumed to be reflected by the AgNORs content in the cells positive for Ki67. AgNORs content was evaluated by means of image analysis of double-stained AgNOR-Ki67 tissue section. The actual growth rate did not discriminate between the disease-free surviving and deceased patients but the AgNORs content in Ki67 cells correlated with the survival time of those patients who died of the tumor. Patients expressing a small AgNORs content, which might indicate a long cell cycle, may die but later; patients with a high AgNORs content, which might indicate a short cell cycle, die early or will survive. A twilight curve was derived from this data and might provide new prognostic indicators.
AuthorsG Bigras, R Marcelpoil, E Brambilla, G Brugal
JournalAnalytical cellular pathology : the journal of the European Society for Analytical Cellular Pathology (Anal Cell Pathol) Vol. 11 Issue 3 Pg. 183-98 (Aug 1996) ISSN: 0921-8912 [Print] Netherlands
PMID8888954 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Chemical References
  • Ki-67 Antigen
Topics
  • Aged
  • Biopsy
  • Carcinoma, Non-Small-Cell Lung (mortality, pathology)
  • Cell Cycle (physiology)
  • Cell Division (physiology)
  • Evaluation Studies as Topic
  • Humans
  • Image Processing, Computer-Assisted
  • Ki-67 Antigen (analysis)
  • Kinetics
  • Lung Neoplasms (mortality, pathology)
  • Middle Aged
  • Nucleolus Organizer Region (chemistry, metabolism)
  • Prognosis
  • Silver Staining
  • Survival Analysis
  • Time Factors

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