title: Comparison of automated cellular imaging system and manual microscopy for immunohistochemically stained cryostat sections of lung cancer specimens applying p53, ki-67 and p120.
abstract: Seventy-one frozen lung tissue specimens from 52 patients suffering from non-small cell lung cancer (NSCLC) were analysed in this study. Cryostat sections were stained with monoclonal antibodies against p53, ki-67 and p120, all of which are of prognostic value in NSCLC. Slides were evaluated by standard manual microscopy (MM) and using a new Automated Cellular Imaging System (ACIS). The results obtained with ACIS correlated significantly with MM examination (p<0.001). However, ACIS showed a higher sensitivity, especially for specimens with a low infiltration volume. In 15 (6.8%) MM negative cases singular positive cells were identified with ACIS. In cases with a high infiltration volume subjective (MM) quantitation tended to overestimate the number of infiltrating cells. ACIS guaranteed a high reproducibility of data. We conclude that ACIS-assisted analysis is a valid means of investigating the p53, ki-67 and p120 antibody expression in cryostat sections of lung cancer specimens. ACIS can complement conventional manual microscopy due to its higher accuracy, sensitivity and better reproducibility of data.
authors.affiliation: Department of Internal Medicine, Innsbruck University Hospital, Austria. wolfgang.hilbe@uibk.ac.at
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Hilbe
authors.forename: Anne
authors.initials: A
authors.lastname: Gächter
authors.forename: Hans-Christoph
authors.initials: HC
authors.lastname: Duba
authors.forename: Stephan
authors.initials: S
authors.lastname: Dirnhofer
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Eisterer
authors.forename: Thomas
authors.initials: T
authors.lastname: Schmid
authors.forename: Andreas
authors.initials: A
authors.lastname: Mildner
authors.forename: Johannes
authors.initials: J
authors.lastname: Bodner
authors.forename: Ewald
authors.initials: E
authors.lastname: Wöll
mesh_terms: D000230:Adenocarcinoma / Q000378:metabolism* / Q000473:pathology; D001331:Automation; D014408:Biomarkers, Tumor / Q000378:metabolism; D002289:Carcinoma, Non-Small-Cell Lung / Q000737:chemistry / Q000378:metabolism* / Q000473:pathology; D002294:Carcinoma, Squamous Cell / Q000378:metabolism* / Q000473:pathology; D015331:Cohort Studies; D003952:Diagnostic Imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007124:Immunoenzyme Techniques; D019394:Ki-67 Antigen / Q000378:metabolism*; D008175:Lung Neoplasms / Q000737:chemistry / Q000378:metabolism* / Q000473:pathology; D008853:Microscopy; D009687:Nuclear Proteins / Q000378:metabolism*; D011379:Prognosis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016159:Tumor Suppressor Protein p53 / Q000378:metabolism*; D012359:tRNA Methyltransferases
chemical_list: D014408:Biomarkers, Tumor; D019394:Ki-67 Antigen; D009687:Nuclear Proteins; D016159:Tumor Suppressor Protein p53; C065028:NOP2 protein, human; D012359:tRNA Methyltransferases