M.E. Meijer-van Gelder

Cathepsin-D in primary breast cancer : prognostic evaluation involving 2810 patients

There is controversy regarding the prognostic value of cathepsin-D in primary breast cancer. An increased level of cathepsin-D in tumour extracts has been found to be associated with a poor relapse-free and overall survival. Studies performed with immunohistochemistry or Western blotting have produced diverse results. We have analysed 2810 cytosolic extracts obtained from human primary breast tumours for cathepsin-D expression, and have correlated their levels with prognosis. The median follow-up of the patients still alive was 88 months. Patients with high cathepsin-D levels had a significantly worse relapse-free and overall survival, also in multivariate analysis (P < 0.0001). Adjuvant therapy which was associated with an improved prognosis in node-positive patients in univariate analysis, also significantly added to the multivariate models for relapse-free and overall survival. There were no statistically significant interactions between the levels of cathepsin-D and any of the classical prognostic factors in analysis for relapse-free survival, suggesting that the prognostic value of cathepsin-D is not different in the various subgroups of patients. Indeed, multivariate analyses in subgroups of node-negative and -positive patients, pre- and post-menopausal patients, and their combinations, showed that tumours with high cathepsin-D values had a significantly poor relapse-free survival, with relative hazard rates ranging from 1.3 to 1.5, compared with tumours with low cathepsin-D levels. The results presented here on 2810 patients confirm that high cytosolic cathepsin-D values are associated with poor prognosis in human primary breast cancer.

Prognostic significance of cathepsins B and L in primary human breast cancer.

PURPOSEnEvaluation of the clinical significance of cytosolic tumor levels of the lysosomal cysteine proteases cathepsin B (catB) and cathepsin L (catL) in patients with primary breast cancer.nnnPATIENTS AND METHODSnCatB (n = 1,500) and catL (n = 1,391) levels were determined by enzyme-linked immunosorbent assay (ELISA) in cytosols routinely prepared from frozen-tissue samples that were submitted to our laboratory for the assessment of steroid-hormone-receptor status. The median duration of follow-up of patients still alive at the time of analysis was 93 months.nnnRESULTSnRelating catB and catL levels with classical prognostic factors, the proteases were positively correlated with the number of positive lymph nodes (P < .01), and negatively with the level of steroid-hormone receptors (P < .01). We did not find a significant relationship between catB or catL levels with age and menopausal status of the patients or with the size of the primary tumor. The levels of catB and catL were positively correlated with each other and with the rates of relapse and death (all, P < .0001). In multivariate regression analysis for relapse-free survival (RFS) and overall survival (OS), corrected for the contribution of age/menopausal status, tumor size, the number of positive lymph nodes, and steroid-hormone-receptor status, catB and catL were significant predictors of the rates of relapse and death (all, P < .01). No statistically significant interactions of catB or catL with any of the classical prognostic factors or with each other were observed in their associations with the rates of relapse and death.nnnCONCLUSIONnCatB and catL levels measured in routinely prepared cytosols are strong parameters to predict the rate of relapse and the length of survival after treatment of the primary breast tumor.

p53 protein accumulation predicts poor response to tamoxifen therapy of patients with recurrent breast cancer.

PURPOSEnMutations of the p53 gene are frequently observed in primary breast cancer and accumulation of p53 protein has been used as a surrogate marker of p53 inactivation. Previous studies have shown that p53 accumulation is related to poor prognosis in primary breast cancer. We studied whether p53 protein accumulation is a predictive factor for response to tamoxifen treatment in patients with recurrent breast cancer.nnnPATIENTS AND METHODSnLevels of p53, estrogen receptor (ER), progesterone receptor (PgR), and urokinase-type plasminogen activator (uPA) were assayed in cytosolic extracts derived from primary tumors of 401 tamoxifen-naive patients who developed recurrent disease. All patients in the study received tamoxifen therapy upon relapse (median follow-up, 69 months). Association of tested factors with response to tamoxifen treatment was studied by logistic regression analysis, and with survival after the start of treatment by Cox univariate and multivariate regression analysis.nnnRESULTSnp53 levels (median, 0.23 ng/mg protein) were not related to ER or PgR levels, but positively correlated with uPA (P < .0001). In a test for trend, we observed an association of p53 protein levels with response to tamoxifen therapy. When dichotomized (at the median value), 42% in the p53-high versus 56% in the p53-low group showed a response. In multivariate analysis, including patient and tumor characteristics, p53 accumulation retained significance with the rate of response (odds ratio [OR], 0.48; 95% confidence interval [CI], 0.31 to 0.74; P < .001). Also in multivariate analysis, reduced survival after the start of tamoxifen therapy was observed in the p53-high group (relative hazards rate [RHR], 1.56, 95% CI, 1.17 to 2.10; P = .002). A statistically significant association between p53 levels and decreased tamoxifen response was seen only in the subset of patients whose tumors expressed low levels of ER or PgR (<75 fmol/mg protein).nnnCONCLUSIONnMeasurement of primary tumor p53 levels may be effective in predicting response to tamoxifen therapy in recurrent breast disease. However, more confirming studies on the association between p53 protein accumulation and response to antiestrogen therapy are needed before tumor p53 levels can be used in routine clinical practice.

Expression of prostate-specific antigen (PSA) correlates with poor response to tamoxifen therapy in recurrent breast cancer

SummaryProstate-specific antigen (PSA) is a serine protease which may play a role in a variety of cancer types, including breast cancer. In the present study, we evaluated whether the level of PSA in breast tumour cytosol could be associated with prognosis in primary breast cancer, or with response to tamoxifen therapy in recurrent disease. PSA levels were determined by enzyme-linked immunosorbent assay (ELISA) in breast tumour cytosols, and were correlated with prognosis in 1516 patients with primary breast cancer and with response to first-line tamoxifen therapy in 434 patients with recurrent disease. Relating the levels of PSA with classical prognostic factors, low levels were more often found in larger tumours, tumours of older and post-menopausal patients, and in steroid hormone receptor-negative tumours. There was no significant association between the levels of PSA with grade of differentiation or the number of involved lymph nodes. In patients with primary breast cancer, PSA was not significantly related to the rate of relapse, and a positive association of PSA with an improved survival could be attributed to its relationship to age. In patients with recurrent breast cancer, a high level of PSA was significantly related to a poor response to tamoxifen therapy, and a short progression-free and overall survival after start of treatment for recurrent disease. In Cox multivariate analyses for response to therapy and for (progression-free) survival, corrected for age/menopausal status, disease-free interval, site of relapse and steroid hormone receptor status, PSA was an independent variable of poor prognosis. It is concluded that the level of PSA in cytosols of primary breast tumours might be a marker to select breast cancer patients who may benefit from systemic tamoxifen therapy.

CITED2 and NCOR2 in anti-oestrogen resistance and progression of breast cancer

Background:Endocrine therapies of breast cancer are effective but ultimately fail because of the development of treatment resistance. We have previously revealed several genes leading to tamoxifen resistance in vitro by retroviral insertion mutagenesis. To understand the manner in which these genes yield tamoxifen resistance, their effects on global gene expression were studied and those genes resulting in a distinct gene expression profile were further investigated for their clinical relevance.Methods:Gene expression profiles of 69 human breast cancer cell lines that were made tamoxifen resistant through retroviral insertion mutagenesis were obtained using oligonucleotide arrays and analysed with bioinformatic tools. mRNA levels of NCOR2 and CITED2 in oestrogen receptor-positive breast tumours were determined by quantitative RT–PCR. mRNA levels were evaluated for association with metastasis-free survival (MFS) in 620 patients with lymph node-negative primary breast cancer who did not receive systemic adjuvant therapy, and with clinical benefit in 296 patients receiving tamoxifen therapy for recurrent breast cancer.Results:mRNA expression profiles of most tamoxifen-resistant cell lines were strikingly similar, except for the subgroups of cell lines in which NCOR2 or CITED2 were targeted by the retrovirus. Both NCOR2 and CITED2 mRNA levels were associated with MFS, that is, tumour aggressiveness, independently of traditional prognostic factors. In addition, high CITED2 mRNA levels were predictive for a clinical benefit from first-line tamoxifen treatment in patients with advanced disease.Conclusions:Most retrovirally targeted genes yielding tamoxifen resistance in our cell lines do not impose a distinctive expression profile, suggesting that their causative role in cell growth may be accomplished by post-transcriptional processes. The associations of NCOR2 and CITED2 with outcome in oestrogen receptor-positive breast cancer patients underscore the clinical relevance of functional genetic screens to better understand disease progression, which may ultimately lead to the development of improved treatment options.

High protein expression of EZH2 is related to unfavorable outcome to tamoxifen in metastatic breast cancer.

BACKGROUNDnMetastatic breast cancer (MBC) is a highly heterogeneous disease with great differences in outcome to both chemo- and endocrine therapy. Better insight into the mechanisms underlying resistance is essential to better predict outcome to therapy and to obtain a more tailored treatment approach. We have previously described that increased mRNA expression levels of Enhancer of Zeste homolog (EZH2) are associated with worse outcome to tamoxifen therapy in MBC. Here, we explored whether this is also the case for EZH2 protein expression.nnnPATIENTS AND METHODSnA tissue microarray (TMA) was created using formalin-fixed, paraffin-embedded estrogen receptor (ER)-positive primary breast tumor tissues of 250 MBC patients treated with first-line tamoxifen. Quantity and intensity of EZH2 expression were determined by immunohistochemistry (IHC) and both were used to generate and group scores according to a previously described method for scoring EZH2.nnnRESULTSnIn total, 116 tumors (46%) were considered to be EZH2 positive. The presence of EZH2 protein expression was significantly associated with progression-free survival (PFS) in both univariate [hazard ratio (HR) 1.51, 95% confidence interval (CI) 1.17-1.97, P = 0.002] and multivariate analysis including traditional factors associated with tamoxifen outcome (HR 1.41, 95% CI 1.06-1.88, P = 0.017). Considering quantity irrespective of intensity, tumors with >50% EZH2-positive cells had the worst PFS (HR 2.15, 95% CI 1.42-3.27, P < 0.001), whereas intensity alone did not show a significant association with PFS. Application of other methods of scoring EZH2 positivity resulted in a similar significant association between the amount of EZH2 positive cells and PFS.nnnCONCLUSIONnIn addition to EZH2 mRNA levels, these results suggest that protein expression of EZH2 can be used as a marker to predict outcome to tamoxifen therapy. This provides new rationale to explore EZH2 inhibition in the clinical setting and increases the possibilities for a more personalized treatment approach in MBC patients.

Survival and contralateral breast cancer in CHEK2 1100delC breast cancer patients: impact of adjuvant chemotherapy

Background:We assessed the sensitivity to adjuvant chemotherapy in cell cycle checkpoint kinase 2 (CHEK2) vs non-CHEK2 breast cancer patients by comparing the contralateral breast cancer incidence and distant disease-free and breast cancer-specific survival between both groups, stratified for adjuvant chemotherapy.Methods:One Dutch hereditary non-BRCA1/2 breast cancer patient cohort (n=1220) and two Dutch cohorts unselected for family history (n=1014 and n=2488, respectively) were genotyped for CHEK2 1100delC. Hazard ratios for contralateral breast cancer, distant disease-free and breast cancer-specific death for mutation carriers vs noncarriers were calculated using the Cox proportional hazard method, stratified for adjuvant chemotherapy.Results:The CHEK2 mutation carriers (n=193) had an increased incidence of contralateral breast cancer (multivariate hazard ratio 3.97, 95% confidence interval 2.59–6.07). Distant disease-free and breast cancer-specific survival were similar in the first 6 years in mutation carriers compared with noncarriers, but diverted as of 6 years after breast cancer diagnosis (multivariate hazard ratios and 95% confidence intervals 2.65 (1.79–3.93) and 2.05 (1.41–2.99), respectively). No significant interaction between CHEK2 and adjuvant chemotherapy was observed.Conclusions:The CHEK2 1100delC-associated breast cancer is associated with a higher contralateral breast cancer rate as well as worse survival measures beyond 6 years after diagnosis. No differential sensitivity to adjuvant chemotherapy was observed in CHEK2 patients.

Molecular profiles of BRCA1-mutated and matched sporadic breast tumours: relation with clinico-pathological features

About 5–10% of breast cancers are hereditary; a genetically and clinically heterogeneous disease in which several susceptibility genes, including BRCA1, have been identified. While distinct tumour features can be used to estimate the likelihood that a breast tumour is caused by a BRCA1 germline mutation it is not yet possible to categorize a BRCA1 mutated tumour. The aim of the present study is to molecularly classify BRCA1 mutated breast cancers by resolving gene expression patterns of BRCA1 and matched sporadic surgical breast tumour specimens. The expression profiles of 6 frozen breast tumour tissues with a proven BRCA1 gene mutation were weighed against those from 12 patients without a known family history but who had similar clinico-pathological characteristics. In addition two fibroblast cultures, the breast cancer cell-line HCC1937 and its corresponding B-lymphoblastoid cell line (heterozygous for mutation BRCA1 5382insC) and an epithelial ovarian cancer cell line (A2780) were studied. Using a high density membrane based array for screening of RNA isolated from these samples and standard algorithms and software, we were able to distinguish subgroups of sporadic cases and a group consisting mainly of BRCA1-mutated breast tumours. Furthermore this pilot analysis revealed a gene cluster that differentially expressed genes related to cell substrate formation, adhesion, migration and cell organization in BRCA1-mutated tumours compared to sporadic breast tumours.

Mutational signatures impact the breast cancer transcriptome and distinguish mitotic from immune response pathways

Background: Bladder cancer affects >70,000 patients annually in the United States. Despite its high incidence, therapeutic options are limited in early or late stage. We wanted to identify key metabolic pathways that were altered in bladder cancer development and progression. Experimental Design: We performed global metabolomics profiling of benign urothelium, high-grade non-muscle invasive bladder cancer and advanced, muscle-invasive bladder cancer using GC-MS and LC-MS platforms. This analysis was coupled with publicly available data on transcriptomics of key enzymes, to determine pathways that may be suitable for future therapeutics development. Results: Categorical pathways globally dysregulated in cancer relative to benign urothelium included glucose, TCA cycle, lipid, amino acid and nucleotide pathways. Bladder cancers demonstrated Warburg metabolism, with elevated glucose utilization to drive glycolysis and sorbitol pathway intermediates. Elevated late TCA cycle intermediates, coupled with higher levels of amino acids and dipeptides, suggest the possibility of anaplerotic activity in bladder cancer as a mechanism to sustain energy production. Medium and long chain fatty acids were produced at the expense of dicarboxylic fatty acids. Muscle-invasive bladder cancers showed enhanced use of COX and LOX metabolomics pathways and a possible role for inflammation in regulating NAD+ synthesis in muscle-invasive bladder cancer. Transcriptomic profiling validated that the majority of metabolomics pathway alterations corresponded to gene expression changes of enzymes responsible for metabolite production. Conclusions: This study identifies multiple parallel metabolomics changes unique to non-muscle invasive and muscle-invasive bladder cancer that can be used to justify testing novel therapeutics targeting metabolic pathways in bladder cancer. Citation Format: Divya Sahu, Yair Lotan, Bryan Wittmann, Bruce Neri, Donna Hansel. Metabolomics analysis reveals distinct profiles of non-muscle invasive and muscle-invasive bladder cancer. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2.

Abstract P6-08-10: Mutational signatures impact the breast cancer transcriptome and distinguish mitotic from immune response pathways

A comprehensive whole genome analysis of a large breast cancer cohort of 560 cases (Nik-Zainal et al, submitted 2015) reports novel and existing DNA substitution and rearrangement signatures next a comprehensive list of events driving the breast cancer cell to its malignant potency. In the current study, we linked the observed genetic diversity to the breast cancer transcriptome for 260 cases for which whole genome and whole transcriptome data were both available. Cluster analysis of the global gene expression showed the familiar view of a coherent basal-like and a heterogeneous luminal subgroup. New and previously reported 1 subtype-specific aberrations with concordant expression changes were found in TP53, PIK3CA, PTEN, CCND1, CDH1 and GATA3, and mutations in PIK3CA, PTEN, AKT1 and AKT2 were mutually exclusive confirming they are active in the same pathway in breast cancer. Integrating the identified DNA substitutions signatures with the transcriptome, we observed that the total number of substitutions in a cancer, irrespective of substitution type, was positively associated with cell cycle regulated gene expression and with adverse outcome. In addition and more remarkably, we observed that the number substitution of two substitution signatures 2 particularly associated with immune-response specific gene expression, with increased amount of tumor infiltrating lymphocytes and with a better outcome. These two signatures comprised 1) mutations of the APOBEC-type (predominant C>G in a TCN context), and 2) mutations which lacks specific features but which are strongly associated with genetic and epigenetic inactivating aberrations in BRCA1 and BRCA2. Thus, while earlier reports 3-5 imply that the sheer number of driver events triggers an immune-response, we refine this statement by observing that substitutions of a particular type are much very effective in doing so explaining the superior outcome of cancer having these particular types of substitutions. This result also implies that purposefully augmenting T-cell reactivity against amino-acid substitutions resulting from either of these two DNA substitution types could potentially improve immunotherapies in breast cancer. 1. Comprehensive molecular portraits of human breast tumours. Nature 490, 61-70 (2012). 2. Alexandrov, L.B., et al. Signatures of mutational processes in human cancer. Nature 500, 415-421 (2013). 3. Rizvi, N.A., et al. Cancer immunology. Mutational landscape determines sensitivity to PD-1 blockade in non-small cell lung cancer. Science 348, 124-128 (2015). 4. Schumacher, T.N. & Schreiber, R.D. Neoantigens in cancer immunotherapy. Science 348, 69-74 (2015). 5. Snyder, A., et al. Genetic basis for clinical response to CTLA-4 blockade in melanoma. N Engl J Med 371, 2189-2199 (2014). Citation Format: Martens JWM, Smid M, Rodriguez-Gonzalez G, Sieuwerts AM, Prager-Van der Smissen WJC, Van Der Vlugt - Daane M, Van Galen A, Nik-Zainal S, Staaf J, Brinkman AB, Van de Vijver MJ, Richardson AL, Berentsen K, Caldas C, Butler A, Martin S, Davies HD, Debets R, Meijer-Van Gelder ME, Van Deurzen CHM, Ramakrishna MR, Ringner M, Viari A, Birney E, Borresen-Dale A-L, Stunnenberg HG, Stratton M, Foekens JA. Mutational signatures impact the breast cancer transcriptome and distinguish mitotic from immune response pathways. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P6-08-10.