Mutation of p53 is a common feature of cancer. Breast cancer is the most common malignancy that develops in women; however, somatic mutation of p53 is rare, suggesting that p53 becomes inactivated by other mechanisms. p53 is expressed as smaller isoforms, some of which inhibit wild-type p53. There are no studies that have examined the relative expression of all isoforms in this disease. We have analysed the relative messenger RNA expression of the p53 isoforms, Δ40, Δ133, β and γ in a panel of 6 breast cancer cell lines, 148 breast cancers specimens and 31 matched normal adjacent tissues by semi-quantitative real-time reverse transcription-PCR and analysed their relationship to clinical features and outcome. We have identified several important clinical associations, particularly with Δ40p53, which was expressed at levels that were ~50-fold higher than the least expressed isoform p53γ. Δ40p53 was significantly upregulated in tumour tissue when compared with the normal breast and was significantly associated with an aggressive breast cancer subtype-triple negative. Additionally, p53β expression was significantly negatively associated with tumour size and positively associated with disease-free survival, where high levels of p53β were protective, particularly in patients with a mutation in p53, suggesting p53β may counteract the damage inflicted by mutant p53. In conclusion, the relative expression of p53 isoforms is related to clinical features of breast cancer and outcome. These results have implications for the stratification of breast cancer based on p53 function and may provide an alternate explanation for deregulated p53 signalling in breast cancer.

Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with the worst prognosis and no targeted treatments. TNBC patients are more likely to develop metastases and relapse than patients with other breast cancer subtypes. We aimed to identify TNBC-specific genes and genes associated with lymph node metastasis, one of the first signs of metastatic spread. A total of 33 TNBCs were used; 17 of which had matched normal adjacent tissues available, and 15 with matched lymph node metastases. Gene expression microarray analysis was used to reveal genes that were differentially expressed between these groups. We identified and validated 66 genes that are significantly altered when comparing tumours to normal adjacent samples. Further, we identified 83 genes that are associated with lymph node metastasis and correlated these with miRNA-expression. Pathway analysis revealed their involvement in DNA repair, recombination and cell death, chromosomal instability and other known cancer-related pathways. Finally, four genes were identified that were specific for TNBC, of which one was associated with overall survival. This study has identified novel genes involved in LN metastases in TNBC and genes that are TNBC specific that may be used as treatment targets or prognostic indicators in the future.

Breast cancer is the most diagnosed malignancy in women, with over half a million women dying from this disease each year. In our previous studies, ∆40p53, an N‐terminally truncated p53 isoform, was found to be upregulated in breast cancers, and a high ∆40p53 : p53α ratio was linked with worse disease‐free survival. Although p53α inhibits cancer migration and invasion, little is known about the role of ∆40p53 in regulating these metastasis‐related processes and its role in contributing to worse prognosis. The aim of this study was to assess the role of ∆40p53 in breast cancer migration and invasion. A relationship between Δ40p53 and gene expression profiles was identified in oestrogen‐receptor‐positive breast cancer specimens. To further evaluate the role of Δ40p53 in oestrogen‐receptor‐positive breast cancer, MCF‐7 and ZR75‐1 cell lines were transduced to knockdown p53α or Δ40p53 and overexpress Δ40p53. Proliferation, migration and invasion were assessed in the transduced sublines, and gene expression was assessed through RNA‐sequencing and validated by reverse‐transcription quantitative PCR. Knockdown of both p53α and ∆40p53 resulted in increased proliferation, whereas overexpression of ∆40p53 reduced proliferation rates. p53α knockdown was also associated with increased cell mobility. ∆40p53 overexpression reduced both migratory and invasive properties of the transduced cells. Phenotypic findings are supported by gene expression data, including differential expression of LRG1, HYOU1, UBE2QL1, SERPINA5 and PCDH7. Taken together, these results suggest that, at the basal level, ∆40p53 works similarly to p53α in suppressing cellular mobility and proliferation, although the role of Δ40p53 may be cell context‐specific.