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1.
BMC Cancer ; 18(1): 1027, 2018 Oct 23.
Article in English | MEDLINE | ID: mdl-30352570

ABSTRACT

BACKGROUND: P38 mitogen activated protein kinase is an intermediary signal transduction factor with context-specific roles in breast cancer. Recent mechanistic studies add to the growing consensus that P38 is a tumour suppressor, and it may represent a novel target for breast cancer treatment. The aim of this study is to add definitive data on the prognostic value of P38 and its link with biomarkers in primary breast cancer. METHODS: A large, well-characterised series of 1332 primary breast cancer patients with long-term clinical follow-up was assessed for P38 expression by immunohistochemistry. Association of clinicopathological factors and a panel of breast cancer biomarkers was determined by chi-squared test, and multivariate survival analysis was performed using Cox Proportional Hazards regression modelling. RESULTS: This study shows that nuclear P38 is co-expressed with nuclear hormone receptors (p < 0.001) and is an independent prognostic marker of good long-term clinical outcome in primary breast cancer (hazard ratio 0.796, 95% confidence interval 0.662-0.957, p = 0.015). Significant association was found between expression of P38 and markers of DNA repair including nuclear BRCA1 and RAD51, and cleaved PARP1 (all p < 0.001). CONCLUSIONS: The findings support the proposed role for P38 as a tumour suppressor in breast cancer via upregulation of DNA repair proteins and provide novel hypothesis-generating information on the potential role of P38 in adjuvant therapy decision making.


Subject(s)
Biomarkers, Tumor/biosynthesis , Breast Neoplasms/metabolism , DNA Repair , Receptors, Cytoplasmic and Nuclear/biosynthesis , p38 Mitogen-Activated Protein Kinases/biosynthesis , Adult , Aged , Breast Neoplasms/pathology , Breast Neoplasms/physiopathology , Female , Humans , Middle Aged , Prognosis , Retrospective Studies , p38 Mitogen-Activated Protein Kinases/genetics
2.
Breast Cancer Res Treat ; 159(3): 457-67, 2016 Oct.
Article in English | MEDLINE | ID: mdl-27592113

ABSTRACT

BACKGROUND: Mitogen-activated protein kinases (MAPKs) are signalling transduction molecules that have different functions and diverse behaviour in cancer. In breast cancer, MAPK is related to oestrogen receptor (ER) and HER2. METHODS: Protein expression of a large panel of MAPKs (JNK1/2, ERK, p38, C-JUN and ATF2 including phosphorylated forms) were assessed immunohistochemically in a large (n = 1400) and well-characterised breast cancer series prepared as tissue microarray. Moreover, reverse phase protein array was applied to quantify protein expression of MAPKs in six breast cancer cell lines with different phenotypes including HER2-transfected cells. RESULTS: MAPKs expression was associated with clinicopathological variables characteristic of good prognosis. These associations were most significant in the whole series and in the ER+ subgroup compared to other BC classes. Most of MAPKs showed a positive association with ER, BCL2 and better outcome and were negatively associated with the proliferation marker Ki67 and p53. Association of MAPK with HER2 was mainly seen in the ER- subgroup. Reverse phase protein array confirmed immunohistochemistry results and revealed differential expression of MAPK proteins in ER+ and ER- cell lines. CONCLUSIONS: MAPKs are associated with good prognosis and their expression is mainly related to ER. Studying a large panel rather than individual biomarkers may provide improved understanding of the pathway.


Subject(s)
Breast Neoplasms/metabolism , Mitogen-Activated Protein Kinases/metabolism , Proteomics/methods , Tissue Array Analysis/methods , Cell Line, Tumor , Female , Humans , MCF-7 Cells , Phosphorylation , Prognosis , Receptor, ErbB-2/metabolism , Receptors, Estrogen/metabolism
3.
Breast Cancer Res Treat ; 155(1): 25-35, 2016 Jan.
Article in English | MEDLINE | ID: mdl-26661092

ABSTRACT

Reverse Phase Protein Array (RPPA) represents a sensitive and high-throughput technique allowing simultaneous quantitation of protein expression levels in biological samples. This study aimed to confirm the ability of RPPA to classify archival formalin-fixed paraffin-embedded (FFPE) breast cancer tissues into molecular classes used in the Nottingham prognostic index plus (NPI+) determined by immunohistochemistry (IHC). Proteins were extracted from FFPE breast cancer tissues using three extraction protocols: the Q-proteome FFPE Tissue Kit (Qiagen, Hilden, Germany) and two in-house methods using Laemmli buffer with either incubation for 20 min or 2 h at 105 °C. Two preparation methods, full-face sections and macrodissection, were used to assess the yield and quality of protein extracts. Ten biomarkers used for the NPI+ (ER, PgR, HER2, Cytokeratins 5/6 and 7/8, EGFR, HER3, HER4, p53 and Mucin 1) were quantified using RPPA and compared to results determined by IHC. The Q-proteome FFPE Tissue Kit produced significantly higher protein concentration and signal intensities. The intra- and inter-array reproducibility assessment indicated that RPPA using FFPE lysates was a highly reproducible and robust technique. Expression of the biomarkers individually and in combination using RPPA was highly consistent with IHC results. Macrodissection of the invasive tumour component gave more reliable results with the majority of biomarkers determined by IHC, (80 % concordance) compared with full-face sections (60 % concordance). Our results provide evidence for the technical feasibility of RPPA for high-throughput protein expression profiling of FFPE breast cancer tissues. The sensitivity of the technique is related to the quality of extracted protein and purity of tumour tissue. RPPA could provide a quantitative technique alternative to IHC for the biomarkers used in the NPI+.


Subject(s)
Biomarkers , Breast Neoplasms/diagnosis , Breast Neoplasms/metabolism , Protein Array Analysis , Proteomics , Cluster Analysis , Female , Humans , Neoplasm Grading , Neoplasm Metastasis , Prognosis , Protein Array Analysis/methods , Proteomics/methods , Reproducibility of Results , Tumor Burden
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