Dr Kelly Kiejda

©Mehta et al. The TP53 family consists of three sets of transcription factor genes, TP53, TP63 and TP73, each of which expresses multiple RNA variants and protein isoforms. Of these, TP53 is mutated in 25-30% of breast cancers. How TP53 mutations affect the interaction of TP53 family members and their isoforms in breast cancer is unknown. To investigate this, 3 independent breast cancer cohorts were stratified into 4 groups based on oestrogen receptor (ER) and TP53 mutation status. Using bioinformatic methodologies, principal signalling pathways associated with the expression of TP53 family members were identified. Results show an enrichment of IFN-¿ signalling associated with TP63 RNA in wild type TP53 (wtTP53), ER negative (ER-) tumours and with ¿133TP53 RNA in mutant TP53 (mTP53) ER positive (ER+) tumours. Moreover, tumours with low IFN-¿ signalling were associated with significantly poorer patient outcome. The predicted changes in expression of a subset of RNAs involved in IFN-¿ signalling were confirmed in vitro. Our data show that different members of the TP53 family can drive transcription of genes involved in IFN-¿ signalling in different breast cancer subgroups.

© 2016 Journal of Visualized Experiments. Measuring cell proliferation can be performed by a number of different methods, each with varying levels of sensitivity, reproducibility and compatibility with high-throughput formatting. This protocol describes the use of three different methods for measuring cell proliferation in vitro including conventional hemocytometer counting chamber, a luminescence-based assay that utilizes the change in the metabolic activity of viable cells as a measure of the relative number of cells, and a multi-mode cell imager that measures cell number using a counting algorithm. Each method presents its own advantages and disadvantages for the measurement of cell proliferation, including time, cost and high-throughput compatibility. This protocol demonstrates that each method could accurately measure cell proliferation over time, and was sensitive to detect growth at differing cellular densities. Additionally, measurement of cell proliferation using a cell imager was able to provide further information such as morphology, confluence and allowed for a continual monitoring of cell proliferation over time. In conclusion, each method is capable of measuring cell proliferation, but the chosen method is user-dependent.

© 2016 Morten et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. p53 is expressed as multiple smaller isoforms whose functions in cancer are not well understood. The p53 isoforms demonstrate abnormal expression in different cancers, suggesting they are important in modulating the function of full-length p53 (FLp53). The quantification of relative mRNA expression has routinely been performed using real-time PCR (qPCR). However, there are serious limitations when detecting p53 isoforms using this method, particularly for formalin-fixed paraffin-embedded (FFPE) tissues. The use of FFPE tumours would be advantageous to correlate expression of p53 isoforms with important clinical features of cancer. One alternative method of RNA detection is the hybridization-based QuantiGene 2.0 Assay, which has been shown to be advantageous for the detection of RNA from FFPE tissues. In this pilot study, we compared the QuantiGene 2.0 Assay to qPCR for the detection of FLp53 and its isoform ¿40p53 in matched fresh frozen (FF) and FFPE breast tumours. FLp53 mRNA expression was detected using qPCR in FF and FFPE tissues, but ¿40p53 mRNA was only detectable in FF tissues. Similar results were obtained for the QuantiGene 2.0 Assay. FLp53 relative mRNA expression was shown to be strongly correlated between the two methods (R2 = 0.9927, p = 0.0031) in FF tissues, however ¿40p53 was not (R2 = 0.4429, p = 0.3345). When comparing the different methods for the detection of FLp53 mRNA from FFPE and FF samples, no correlation (R2 = 0.0002, p = 0.9863) was shown using the QuantiGene 2.0 Assay, and in contrast, the level of expression was highly correlated between the two tissues using qPCR (R2 = 0.8753, p = 0.0644). These results suggest that both the QuantiGene 2.0 Assay and qPCR methods are inadequate for the quantification of ¿40p53 mRNA in FFPE tissues. Therefore, alternative methods of RNA detection and quantification are required to study the relative expression of ¿40p53 in FFPE samples.

© The Author 2015. Published by Oxford University Press. All rights reserved. Breast cancer is the most common female cancer, but it has relatively low rates of p53 mutations, suggesting other mechanisms are responsible for p53 inactivation. We have shown that the p53 isoform, ¿40p53, is highly expressed in breast cancer, where it may contribute to p53 inactivation. ¿40p53 can be produced by alternative splicing of p53 in intron 2 and this is regulated by the formation of G-quadruplex structures in p53 intron 3, from which the nucleotides forming these structures overlap with a common polymorphism, rs17878362. rs17878362 alters p53 splicing to decrease fully spliced p53 messenger RNA (mRNA) in vitro following ionizing radiation and this in turn alters ¿40p53:p53. Hence, the presence of rs17878362 may be important in regulating ¿40p53:p53 in breast cancer. This study aimed to determine if rs17878362 was associated with altered ¿40p53 and p53 expression and outcome in breast cancer. We sequenced p53 in breast tumours from 139 patients and compared this with ¿40p53 and p53 mRNA expression. We found that the ratio of ¿40p53:p53 was significantly lower in tumours homozygous for the polymorphic A2 allele compared with those who were wild-type (A1/A1). Furthermore, there was a lower proportion of breast cancers carrying the A2 allele from patients who subsequently developed metastasis compared with those that did not. Finally, we show that patients whose tumours carried the polymorphic A2 allele had significantly better disease-free survival. These results show that rs17878362 is associated with a low ¿40p53:p53 ratio in breast cancer and that this is associated with better outcome.

© 2016 The Author(s). Background: The estrogen-induced gene 121 (EIG121) has been associated with breast and endometrial cancers, but its mechanism of action remains unknown. In a genome-wide search for tandem repeats, we found that EIG121 contains a short tandem repeat (STR) in its upstream regulatory region which has the potential to alter gene expression. The presence of this STR has not previously been analysed in relation to breast or endometrial cancer risk. Results: In this study, the lengths of this STR were determined by PCR, fragment analysis and sequencing using DNA from 223 breast cancer patients, 204 endometrial cancer patients and 220 healthy controls to determine if they were associated with the risk of developing breast or endometrial cancer. We found this repeat to be highly variable with the number of copies of the AG motif ranging from 27 to 72 and having a bimodal distribution. No statistically significant association was identified between the length of this STR and the risk of developing breast or endometrial cancer or age at diagnosis. Conclusions: The STR in the upstream regulatory region of EIG121 is highly polymorphic, but is not associated with the risk of developing breast or endometrial cancer in the cohorts analysed here. While this polymorphic STR in the regulatory region of EIG121 appears to have no impact on the risk of developing breast or endometrial cancer, its association with disease recurrence or overall survival remains to be determined.

© 2015 by The American Society for Biochemistry and Molecular Biology, Inc. Brain metastases are a devastating consequence of cancer and currently there are no specific biomarkers or therapeutic targets for risk prediction, diagnosis, and treatment. Here the proteome of the brain metastatic breast cancer cell line 231-BR has been compared with that of the parental cell line MDA-MB-231, which is also metastatic but has no organ selectivity. Using SILAC and nanoLC-MS/MS, 1957 proteins were identified in reciprocal labeling experiments and 1584 were quantified in the two cell lines. A total of 152 proteins were confidently determined to be up- or down-regulated by more than twofold in 231-BR. Of note, 112/152 proteins were decreased as compared with only 40/152 that were increased, suggesting that down-regulation of specific proteins is an important part of the mechanism underlying the ability of breast cancer cells to metastasize to the brain. When matched against transcriptomic data, 43% of individual protein changes were associated with corresponding changes in mRNA, indicating that the transcript level is a limited predictor of protein level. In addition, differential miRNA analyses showed that most miRNA changes in 231-BR were up- (36/45) as compared with down-regulations (9/45). Pathway analysis revealed that proteome changes were mostly related to cell signaling and cell cycle, metabolism and extracellular matrix remodeling. The major protein changes in 231-BR were confirmed by parallel reaction monitoring mass spectrometry and consisted in increases (by more than fivefold) in the matrix metalloproteinase-1, ephrin-B1, stomatin, myc target-1, and decreases (by more than 10-fold) in transglutaminase-2, the S100 calcium-binding protein A4, and L-plastin. The clinicopathological significance of these major proteomic changes to predict the occurrence of brain metastases, and their potential value as therapeutic targets, warrants further investigation.

© 2015, Springer Science+Business Media New York. Triple-negative breast cancers¿(TNBC) lack expression of oestrogen, progesterone and HER2 receptors. The gene expression profiles of TNBCs are similar to those of breast tumours in women with BRCA1 mutations. Reports to date indicate that up to 20¿% of TNBC patients harbour germline BRCA mutations; however, the prevalence of BRCA mutations in TNBC patients varies widely between countries and from study to study. We studied 774 women with triple-negative breast cancer, diagnosed on average at age 58.0¿years. Samples of genomic DNA were provided by the Australian Breast Cancer Tissue Bank (ABCTB) (439 patients) and by the Department of Genetics and Pathology of the Pomeranian Medical University (335 patients). The entire coding regions and the exon¿intron boundaries of BRCA1 and BRCA2 were amplified and sequenced by next-generation sequencing. We identified a BRCA1 or BRCA2 mutation in 74 of 774 (9.6¿%) triple-negative patients. The mutation prevalence was 9.3¿% in Australia and was 9.9¿% in Poland. In both countries, the mean age of diagnoses of BRCA1 mutation carriers was significantly lower than that of non-carriers, while the age of onset of BRCA2 mutation carriers was similar to that of non-carriers. In the Australian cohort, 59¿% of the mutation-positive patients did not have a family history of breast or ovarian cancer, and would not have qualified for genetic testing. The triple-negative phenotype should be added as a criterion to genetic screening guidelines.

© 2015 by the authors; licensee MDPI, Basel, Switzerland. Triple negative breast cancer (TNBC) is characterised by the lack of receptors for estrogen (ER), progesterone (PR), and human epidermal growth factor 2 (HER2). Since it cannot be treated by current endocrine therapies which target these receptors and due to its aggressive nature, it has one of the worst prognoses of all breast cancer subtypes. The only treatments remain chemo- and/or radio-therapy and surgery and because of this, novel biomarkers or treatment targets are urgently required to improve disease outcomes. MicroRNAs represent an attractive candidate for targeted therapies against TNBC, due to their natural ability to act as antisense interactors and regulators of entire gene sets involved in malignancy and their superiority over mRNA profiling to accurately classify disease. Here we review the current knowledge regarding miRNAs as biomarkers in TNBC and their potential use as therapeutic targets in this disease. Further, we review other epigenetic changes and interactions of these changes with microRNAs in this breast cancer subtype, which may lead to the discovery of new treatment targets for TNBC.

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.

Triple-negative breast cancer (TNBC) is a tumour classification that is defined by oestrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 receptor negativity. TNBCs share a similar gene expression profile to BRCA-mutated tumours, have been shown to carry a high proportion of BRCA mutations and have a more adverse prognosis compared to other types of breast tumours. PALB2 has been shown to be a moderate-penetrance breast cancer susceptibility gene and is involved in the same DNA damage repair pathway as BRCA1 and BRCA2; this raises the possibility that germline PALB2 mutations may be involved in the pathogenesis of TNBCs. In our study, we sequenced the coding regions of PALB2 (including intron/exon boundaries) in genomic DNA from 347 patients diagnosed with TNBC to determine the prevalence of deleterious mutations in this population. Two novel truncating mutations (c.758dup and c.2390del) and one previously detected truncating mutation (c.3113+5G>C) were found. In addition, five variants predicted to be protein-affecting were also identified. Our study shows that the prevalence of PALB2 germline mutations in individuals with TNBC is ~1%, similar to the prevalence of PALB2 germline mutation of 1% in familial non-BRCA1/2 breast cancer cohorts. © 2013 UICC.

Background: Breast cancer is the most common malignancy that develops in women, responsible for the highest cancer-associated death rates. Triple negative breast cancers represent an important subtype that have an aggressive clinical phenotype, are associated with a higher likelihood of metastasis and are not responsive to current targeted therapies. miRNAs have emerged as an attractive candidate for molecular biomarkers and treatment targets in breast cancer, but their role in the progression of triple negative breast cancer remains largely unexplored.Methods: This study has investigated miRNA expression profiles in 31 primary triple negative breast cancer cases and in 13 matched lymph node metastases compared with 23 matched normal breast tissues to determine miRNAs associated with the initiation of this disease subtype and those associated with its metastasis.Results: 71 miRNAs were differentially expressed in triple negative breast cancer, the majority of which have previously been associated with breast cancer, including members of the miR-200 family and the miR-17-92 oncogenic cluster, suggesting that the majority of miRNAs involved in the initiation of triple negative breast cancer are not subtype specific. However, the repertoire of miRNAs expressed in lymph node negative and lymph node positive triple negative breast cancers were largely distinct from one another. In particular, miRNA profiles associated with lymph node negative disease tended to be up-regulated, while those associated with lymph node positive disease were down-regulated and largely overlapped with the profiles of their matched lymph node metastases. From this, 27 miRNAs were identified that are associated with metastatic capability in the triple negative breast cancer subtype.Conclusions: These results provide novel insight into the repertoire of miRNAs that contribute to the initiation of and progression to lymph node metastasis in triple negative breast cancer and have important implications for the treatment of this breast cancer subtype. © 2014 Avery-Kiejda et al.; licensee BioMed Central Ltd.