Torbjörn Norberg

p53 Status predicts survival in breast cancer patients treated with or without postoperative radiotherapy: a novel hypothesis based on clinical findings.

PURPOSE AND METHODS Primary breast cancer tumors without axillary metastases from 206 consecutive patients in a population-based cohort were investigated with regard to the presence of an intact p53 gene using a cDNA-based sequencing method. Clinical follow-up data and outcome of node-negative patients without any adjuvant systemic therapy (n = 168) were related to locoregional radiotherapy and p53 status. RESULTS Mutations in p53 occurred in 31 node-negative breast cancer patients who did not receive any systemic adjuvant treatment, but were treated with postoperative locoregional radiotherapy or nothing. Node-negative breast cancer patients with p53 mutations had significantly improved relapse-free survival (P = .0007), breast cancer-corrected survival (P = .01), and overall survival (P = .02) rates when treated with locoregional radiotherapy. In node-negative breast cancer patients with wild-type p53, there was no statistically significant difference in outcome between patients who received locoregional radiotherapy and those who did not. Cox proportional hazards models indicate that mutant p53 is associated with worse prognosis independent of response to radiotherapy and that response to radiotherapy is qualitatively different in tumors with p53 mutations compared with those with wild-type p53. CONCLUSION Our clinical findings define a group of breast cancer patients in whom locoregional radiotherapy improves relapse-free, breast cancer-corrected, and overall survival. The outcome for irradiated node-negative breast cancer patients with p53 alterations indicates that irradiation can induce cell death even in the presence of p53 mutations.

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

The p53mutational 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. Int. J. Cancer (Pred. Oncol.) 79:376–383, 1998.

Overview on Human Breast Cancer with Focus on Prognostic and Predictive Factors with Special Attention on the Tumour Suppressor Gene P53

A long list of potential prognostic markers has been analysed for breast cancer, some of them will be reviewed in this article. The lymph node status is still the best prognostic marker. The lymph node status combined with information on tumour size, receptor- and proliferation status of the tumour should be analysed as standard for all breast cancer patients. Prognostic information for breast cancer patients has also been described for the membrane protein c-erbB2, the protease cathepsin D, plasminogen activators and inhibitors, certain oncogenes and tumour suppressor genes. Some of these factors also give potential additional information on the response to different oncological therapies, and are better denoted predictive factors. In this overview we shortly describe the above mentioned prognostic factors with major focus on the tumour suppressor gene p53 and its prognostic value and potential predictive value.