Literature DB >> 11284915

p53 functional assays: detecting p53 mutations in both the germline and in sporadic tumours.

R S Camplejohn1, J Rutherford.   

Abstract

The tumour suppressor gene p53 is the gene most often reported to be mutated in clinical cancers with something like half of all tumours harbouring mutations. Further, many studies have suggested that p53 mutations have prognostic importance and sometimes are a significant factor in determining the response of tumours to therapy. The value of knowing the p53 status of individual tumours will increase if currently researched strategies aimed at developing p53-based treatment protocols come to fruition. There are quite a number of techniques used to detect p53 defects in both tumours and in the germline of cancer-prone families, although some of these methods are indirect and each has certain drawbacks. In this brief review we will discuss the value of two assays of p53 function as a means of detecting and partly characterizing p53 mutations. The two assays are the apoptotic assay, which measures the response of peripheral blood lymphocytes to radiation-induced DNA damage and the FASAY, a yeast based assay which assesses the ability of a given p53 protein to transactivate p53 target genes. Both of these assays are rapid, yielding results within 5 days. Further, they not only offer the possibility of detecting p53 mutations but also of characterizing a given mutation in terms of two of p53's most important functions, namely the induction of apoptosis and the transactivation of target genes.

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Year:  2001        PMID: 11284915      PMCID: PMC6495849          DOI: 10.1046/j.1365-2184.2001.00193.x

Source DB:  PubMed          Journal:  Cell Prolif        ISSN: 0960-7722            Impact factor:   6.831


  43 in total

Review 1.  Mechanisms of p53-mediated apoptosis.

Authors:  S Bates; K H Vousden
Journal:  Cell Mol Life Sci       Date:  1999-01       Impact factor: 9.261

2.  Determining mutational fingerprints at the human p53 locus with a yeast functional assay: a new tool for molecular epidemiology.

Authors:  A Inga; R Iannone; P Monti; F Molina; M Bolognesi; A Abbondandolo; R Iggo; G Fronza
Journal:  Oncogene       Date:  1997-03-20       Impact factor: 9.867

Review 3.  p53, the cellular gatekeeper for growth and division.

Authors:  A J Levine
Journal:  Cell       Date:  1997-02-07       Impact factor: 41.582

4.  Screening the p53 status of human cell lines using a yeast functional assay.

Authors:  L Q Jia; M Osada; C Ishioka; M Gamo; S Ikawa; T Suzuki; H Shimodaira; T Niitani; T Kudo; M Akiyama; N Kimura; M Matsuo; H Mizusawa; N Tanaka; H Koyama; M Namba; R Kanamaru; T Kuroki
Journal:  Mol Carcinog       Date:  1997-08       Impact factor: 4.784

5.  Sources of bias in the detection and reporting of p53 mutations in human cancer: analysis of the IARC p53 mutation database.

Authors:  T Hernandez-Boussard; R Montesano; P Hainaut
Journal:  Genet Anal       Date:  1999-02

6.  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

7.  The human homologs of checkpoint kinases Chk1 and Cds1 (Chk2) phosphorylate p53 at multiple DNA damage-inducible sites.

Authors:  S Y Shieh; J Ahn; K Tamai; Y Taya; C Prives
Journal:  Genes Dev       Date:  2000-02-01       Impact factor: 11.361

Review 8.  P53, apoptosis, and breast cancer.

Authors:  D M Barnes; R S Camplejohn
Journal:  J Mammary Gland Biol Neoplasia       Date:  1996-04       Impact factor: 2.673

9.  Rapid p53 sequence analysis in primary lung cancer using an oligonucleotide probe array.

Authors:  S A Ahrendt; S Halachmi; J T Chow; L Wu; N Halachmi; S C Yang; S Wehage; J Jen; D Sidransky
Journal:  Proc Natl Acad Sci U S A       Date:  1999-06-22       Impact factor: 11.205

10.  Characterization of p53 oligomerization domain mutations isolated from Li-Fraumeni and Li-Fraumeni like family members.

Authors:  M E Lomax; D M Barnes; T R Hupp; S M Picksley; R S Camplejohn
Journal:  Oncogene       Date:  1998-08-06       Impact factor: 9.867

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  7 in total

1.  Determination of optimal conditions for analysis of p53 status in leukemic cells using functional analysis of separated alleles in yeast.

Authors:  Jana Smardová; Sárka Pavlová; Hana Koukalová
Journal:  Pathol Oncol Res       Date:  2003-02-11       Impact factor: 3.201

2.  Detection of functional single-nucleotide polymorphisms that affect apoptosis.

Authors:  Sandra L Harris; German Gil; Harlan Robins; Wenwei Hu; Kim Hirshfield; Elisabeth Bond; Gareth Bond; Arnold J Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-31       Impact factor: 11.205

3.  Varying responses of human cells with discrepant p53 activity to ionizing radiation and heat shock exposure.

Authors:  S V Tokalov; S Pieck; H O Gutzeit
Journal:  Cell Prolif       Date:  2007-02       Impact factor: 6.831

4.  p53: a molecular marker for the detection of cancer.

Authors:  Mark T Boyd; Nikolina Vlatkovic
Journal:  Expert Opin Med Diagn       Date:  2008-09

5.  Heritability of DNA-damage-induced apoptosis and its relationship with age in lymphocytes from female twins.

Authors:  R S Camplejohn; S Hodgson; N Carter; B S Kato; T D Spector
Journal:  Br J Cancer       Date:  2006-07-04       Impact factor: 7.640

Review 6.  Programmed cell death detection methods: a systematic review and a categorical comparison.

Authors:  Sana Kari; Kumar Subramanian; Ilenia Agata Altomonte; Akshaya Murugesan; Olli Yli-Harja; Meenakshisundaram Kandhavelu
Journal:  Apoptosis       Date:  2022-06-17       Impact factor: 5.561

7.  Apoptosis, ageing and cancer susceptibility.

Authors:  R S Camplejohn; R Gilchrist; D Easton; E McKenzie-Edwards; D M Barnes; D M Eccles; A Ardern-Jones; S V Hodgson; P M Duddy; R A Eeles
Journal:  Br J Cancer       Date:  2003-02-24       Impact factor: 7.640

  7 in total

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