OBJECTIVE: The p53 status is increasingly regarded as a marker predictive of response to particular cancer therapies, but for this approach it is self-evident that the p53 status must be determined correctly. METHODS: We have tested ovarian cancers with single-strand conformation polymorphism analysis (SSCP), immunohistochemical staining with DO-1 anti-p53 antibody (IHC), and yeast p53 functional assay (FASAY). RESULTS: These techniques commonly used to detect p53 mutations showed important differences in their sensitivity. Of 53 tumors tested with three indirect techniques, 27 (50%), 33 (62%) and 41 (77%) were positive by SSCP, IHC, and FASAY, respectively. In a subset of 32 tumors strongly suspected of containing mutations, 25 (78%), 26 (81%), 29 (91%) and 30 (94%) were positive by SSCP, immunostaining, DNA sequencing and yeast assay, respectively. CONCLUSIONS: Under comparable routine conditions, the FASAY reached the highest sensitivity. Since no single technique detected all mutations, we recommend the use of at least two different techniques in situations where the p53 status will affect patient management.
OBJECTIVE: The p53 status is increasingly regarded as a marker predictive of response to particular cancer therapies, but for this approach it is self-evident that the p53 status must be determined correctly. METHODS: We have tested ovarian cancers with single-strand conformation polymorphism analysis (SSCP), immunohistochemical staining with DO-1 anti-p53 antibody (IHC), and yeastp53 functional assay (FASAY). RESULTS: These techniques commonly used to detect p53 mutations showed important differences in their sensitivity. Of 53 tumors tested with three indirect techniques, 27 (50%), 33 (62%) and 41 (77%) were positive by SSCP, IHC, and FASAY, respectively. In a subset of 32 tumors strongly suspected of containing mutations, 25 (78%), 26 (81%), 29 (91%) and 30 (94%) were positive by SSCP, immunostaining, DNA sequencing and yeast assay, respectively. CONCLUSIONS: Under comparable routine conditions, the FASAY reached the highest sensitivity. Since no single technique detected all mutations, we recommend the use of at least two different techniques in situations where the p53 status will affect patient management.
Authors: Teodora A Todorova; Stanislav H Jordanov; Gergana S Stancheva; Ivan J Chalakov; Mincho B Melnicharov; Kuncho V Kunev; Vanio I Mitev; Radka P Kaneva; Teodora E Goranova Journal: Pathol Oncol Res Date: 2014-08-23 Impact factor: 3.201
Authors: Hervé Bonnefoi; Martine Piccart; Jan Bogaerts; Louis Mauriac; Pierre Fumoleau; Etienne Brain; Thierry Petit; Philippe Rouanet; Jacek Jassem; Emmanuel Blot; Khalil Zaman; Tanja Cufer; Alain Lortholary; Elisabet Lidbrink; Sylvie André; Saskia Litière; Lissandra Dal Lago; Véronique Becette; David A Cameron; Jonas Bergh; Richard Iggo Journal: Lancet Oncol Date: 2011-05-11 Impact factor: 41.316
Authors: Dirk O Bauerschlag; Christian Schem; Marion T Weigel; Constantin Von Kaisenberg; Alexander Strauss; Thomas Bauknecht; Nicolai Maass; Ivo Meinhold-Heerlein Journal: J Cancer Res Clin Oncol Date: 2010-01 Impact factor: 4.553
Authors: Y Wang; A Helland; R Holm; H Skomedal; V M Abeler; H E Danielsen; C G Tropé; A-L Børresen-Dale; G B Kristensen Journal: Br J Cancer Date: 2004-02-09 Impact factor: 7.640