Literature DB >> 9699530

Comparison between p53 protein measurements using the luminometric immunoassay and immunohistochemistry with detection of p53 gene mutations using cDNA sequencing in human breast tumors.

T Norberg1, J Lennerstrand, M Inganäs, J Bergh.   

Abstract

The p53 mutational status of 226 representative primary breast cancer samples, derived from a population-based cohort, was analyzed using cDNA-based sequencing. The results were compared with those obtained with immunohistochemistry (IHC) on microwave-treated paraffin sections and the p53 specific luminometric immunoassay (LIA) on cytosols, all from the same individuals. Thirty-seven mutations were found using cDNA sequencing and were categorized into A) missense mutations in the evolutionarily conserved regions; B) missense mutations outside the evolutionarily regions; and C) deletions, insertions and nonsense mutations. Using optimal cut-off values, LIA detected 15 of 16 missense mutations in category A, in which IHC detected all 16. In category B, 10 of 13 and 7 of 13 mutations were detected, respectively. Some of the samples in category A had a very high p53 protein content when measured with the LIA, the reason for this being discussed. IHC detected 0 of 5 stop codon and 0 of 3 deletions/insertions mutations, while the LIA method detected 2 of 5 stop codon mutations and 1 of 3 deletion/insertion mutations. Compared with cDNA sequencing, protein analyses using optimal cut-off values resulted in an overall sensitivity and specificity of 64.9% and 89.9%, respectively, for the LIA method. Corresponding values were 72.2% and 92% for IHC. In addition, patients from whom p53 mutations could be detected by cDNA sequencing had a statistically significant (p = 0.0137) shorter survival, which was not readily apparent using the alternative LIA or IHC approaches at optimal cut-off values.

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Year:  1998        PMID: 9699530     DOI: 10.1002/(sici)1097-0215(19980821)79:4<376::aid-ijc12>3.0.co;2-3

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  17 in total

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Authors:  David Groheux; Sylvie Giacchetti; Jean-Luc Moretti; Raphael Porcher; Marc Espié; Jacqueline Lehmann-Che; Anne de Roquancourt; Anne-Sophie Hamy; Caroline Cuvier; Laetitia Vercellino; Elif Hindié
Journal:  Eur J Nucl Med Mol Imaging       Date:  2010-11-06       Impact factor: 9.236

Review 2.  Prognostic value of p53 alterations in human osteosarcoma: a meta analysis.

Authors:  Dong Yao; Guo-Hong Cai; Jing Chen; Rui Ling; Sheng-Xi Wu; Yong-Ping Li
Journal:  Int J Clin Exp Pathol       Date:  2014-09-15

3.  The efficacy of trastuzumab in Her-2/neu-overexpressing metastatic breast cancer is independent of p53 status.

Authors:  Wolfgang J Köstler; Thomas Brodowicz; Gernot Hudelist; Margaretha Rudas; Reinhard Horvat; Günther G Steger; Christian F Singer; Johannes Attems; Werner Rabitsch; Negar Fakhrai; Katarzyna Elandt; Christoph Wiltschke; Michael Hejna; Christoph C Zielinski
Journal:  J Cancer Res Clin Oncol       Date:  2005-04-29       Impact factor: 4.553

4.  Improving the detection of p53 mutations in breast cancer by use of the FASAY, a functional assay.

Authors:  P M Duddy; A M Hanby; D M Barnes; R S Camplejohn
Journal:  J Mol Diagn       Date:  2000-08       Impact factor: 5.568

Review 5.  TP53 Mutations and Outcomes in Breast Cancer: Reading beyond the Headlines.

Authors:  Ashkan Shahbandi; Hoang D Nguyen; James G Jackson
Journal:  Trends Cancer       Date:  2020-02-05

6.  Histopathology and Prognostic Indices of Carcinoma Breast with Special Reference to p53 Marker.

Authors:  Rajesh Kanna Nandagopal Radha; Viswanathan P; Krishnaswamy B
Journal:  J Clin Diagn Res       Date:  2014-07-20

7.  Prognostic value of Ki67 and p53 in patients with estrogen receptor-positive and human epidermal growth factor receptor 2-negative breast cancer: Validation of the cut-off value of the Ki67 labeling index as a predictive factor.

Authors:  Masahiro Ohara; Kazuo Matsuura; Etsushi Akimoto; Midori Noma; Mihoko Doi; Takashi Nishizaka; Naoki Kagawa; Toshiyuki Itamoto
Journal:  Mol Clin Oncol       Date:  2016-02-10

8.  Evaluation of HER2 and p53 expression in predicting response to docetaxel-based first-line chemotherapy in advanced breast cancer.

Authors:  Andrea Camerini; Sara Donati; Paolo Viacava; Olimpia Siclari; Cheti Puccetti; Gianna Tartarelli; Chiara Valsuani; Filomena De Luca; Leonardo Martini; Andrea Cavazzana; Domenico Amoroso
Journal:  J Exp Clin Cancer Res       Date:  2011-04-11

9.  State of the art of neoadjuvant chemotherapy in breast cancer: rationale, results and recent developments.

Authors:  Arnd Honig; Lorenz Rieger; Marc Sutterlin; Diethelm Wallwiener; Johannes Dietl; Erich-Franz Solomayer
Journal:  Ger Med Sci       Date:  2005-09-13

10.  The Pro allele of the p53 codon 72 polymorphism is associated with decreased intratumoral expression of BAX and p21, and increased breast cancer risk.

Authors:  Katharina Proestling; Alexandra Hebar; Nina Pruckner; Erika Marton; Ursula Vinatzer; Martin Schreiber
Journal:  PLoS One       Date:  2012-10-10       Impact factor: 3.240

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