title: Development of a computerized morphometry application for assessment of the tumor fraction in colon carcinoma tissue samples.
abstract: Determining the fraction of tumor cells in colon carcinoma samples analyzed for KRAS mutation status is important for choosing the proper testing modality and accurately interpreting the results. However, when asked to determine the tumor cell fraction in tissue samples, different pathologists give considerably different estimations, possibly leading to erroneous interpretation of KRAS mutation analysis results and poor treatment choices. To address this issue, we developed a free, easy-to-use computer program that estimates the tumor cell fraction on colon carcinoma slides that are immune-stained with anti-cytokeratin antibody. The program differentiates between the tumor area and the surrounding stroma on the basis of the immunostaining. Sixty such samples were evaluated by the program. In addition, the actual tumor cell fraction in these samples was measured. The tumor cell fraction estimated by the computer program showed a highly significant correlation with the actual measurements (R=0.64, P<0.001). In addition, we found that a short calibration step before beginning the computer estimation increased the accuracy of the results. In 4 cases (7%), there was some discrepancy between the computer estimation and the actual measurements; however, this was attributed to lower-quality immunohistochemical staining, indicating the importance of this phase in the analysis. In conclusion, we believe that this program can be used for standardizing the evaluation of the tumor cell fraction in colon carcinoma and that its use might aid in making better diagnosis and treatment choices for these patients.
authors.affiliation: Department of Pediatrics B, B. Rappaport Faculty of Medicine, Haifa, Israel.
authors.forename: Tova
authors.initials: T
authors.lastname: Hershkovitz
authors.forename: Avshalom
authors.initials: A
authors.lastname: Shenhav
authors.forename: Edmond
authors.initials: E
authors.lastname: Sabo
authors.forename: Ofer
authors.initials: O
authors.lastname: Ben-Izhak
authors.forename: Dov
authors.initials: D
authors.lastname: Hershkovitz
mesh_terms: D000911:Antibodies, Monoclonal / Q000378:metabolism; D003110:Colonic Neoplasms / Q000175:diagnosis* / Q000473:pathology; D055088:Early Detection of Cancer; D006801:Humans; D019044:Image Cytometry / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007150:Immunohistochemistry; D007633:Keratins / Q000276:immunology; D009154:Mutation / Q000235:genetics; D011518:Proto-Oncogene Proteins / Q000235:genetics / Q000378:metabolism*; D016283:Proto-Oncogene Proteins p21(ras); D012984:Software; D018631:ras Proteins / Q000235:genetics / Q000378:metabolism*
chemical_list: D000911:Antibodies, Monoclonal; C117307:KRAS protein, human; D011518:Proto-Oncogene Proteins; D007633:Keratins; D016283:Proto-Oncogene Proteins p21(ras); D018631:ras Proteins