Publications (48)220.82 Total impact
-
Article: Relevance of cellular and serum carbonic anhydrase IX in primary breast cancer.
[show abstract] [hide abstract]
ABSTRACT: BACKGROUND: Carbonic anhydrase IX (CAIX) is involved in pH homeostasis, growth and survival of tumor cells. Besides the membranous form of CAIX, a soluble form is detectable in serum (s-CAIX). Overexpression of CAIX in tumors offers the opportunity for therapeutic strategies such as CAIX targeting antibodies. The aim of this study was to examine the relationships of CAIX mRNA expression and s-CAIX levels with clinicopathological parameters and survival of patients with primary breast cancer. METHODS: Tumor tissue of 169 primary breast cancer patients was analyzed for RNA expression by microarray analysis (Affymetrix HG-U133A). Concentration of s-CAIX was determined by ELISA in blood samples of 140 patients. RESULTS: In tumor tissue, CAIX mRNA signal intensities (MAS5 values) ranged from 34 to 2,513. Higher CAIX expression was associated with younger age (</≥50 years p = 0.040), negative hormone receptors (estrogen receptor p = 0.004; progesterone receptor p = 0.022) and positive nodal status (p = 0.001) as well as with shorter disease-free survival (p = 0.031). Concentrations of s-CAIX ranged from 56 to 1,500 pg/ml. There was no correlation between s-CAIX and CAIX mRNA levels as well as clinicopathological characteristics or outcome. CONCLUSION: In contrast to reported immunohistochemical studies, we performed RNA-based tissue analyses of CAIX expression and, for the first time, analyzed CAIX serum levels in primary breast cancer. The correlations between CAIX RNA expression and prognostic factors and patient outcome support a biologic role of CAIX in early breast cancer. A role of s-CAIX in primary breast cancer is not supported by our findings.Journal of Cancer Research and Clinical Oncology 01/2013; · 2.56 Impact Factor -
Article: Nationwide analysis on surgical staging procedures and systemic treatment for patients with endometrial cancer in Germany.
[show abstract] [hide abstract]
ABSTRACT: In 2009 and 2006, the Arbeitsgemeinschaft Gynäkologische Onkologie evaluated therapeutic approaches for endometrial carcinoma (EC) in Germany. A questionnaire was developed and sent to 775 German gynecologic departments in 2009 (500 in 2006). The results of the questionnaires were compared with each other and with the recommendations of the Arbeitsgemeinschaft Gynäkologische Onkologie's guideline. Subgroup analyses were performed, dividing the participating centers into small and large centers and into centers with less and more experience with EC. Responses were available in 33.3% in 2009 and 35.8% in 2006. Comparing 2009 with 2006, it became apparent that peritoneal washing cytology was performed in 94.6% versus 86.9% (P = 0.008), pelvic lymphadenectomy (LAN) in 98.3% versus 95.3%, and paraaortic LAN in 90.2% versus 73.8% (P < 0.001) for endometrioid EC, and LAN for histologic high-risk subtypes of EC in 99.6% versus 94.2% (P = 0.001), respectively. In 2009, all these criteria met the recommendation of the guidelines. Reoperation for LAN after postoperative upstaging was performed in 66.1% versus 50.6% (P = 0.002), and adjuvant systemic treatment with chemotherapy and endocrine therapy was performed in 63.7% versus 48.8% (P = 0.003) and 25.7% versus 15.4% (P = 0.014), respectively. This showed nonadherence to the guidelines. Laparoscopic approach was performed in 30.4% versus 19.7% (P = 0.014) of the participating centers, respectively. In subgroup analysis, laparoscopic approach showed a significant difference between small centers (11.5%) and large centers (27.3%) in 2006 (P = 0.012). German hospitals increasingly follow the guidelines concerning LAN and peritoneal washing cytology. However, recommendations concerning reoperating in upstaged patients and adjuvant treatment decisions do not meet the guidelines, thus underlining great uncertainties in this field of gynecologic oncology.International Journal of Gynecological Cancer 01/2013; 23(1):105-12. · 1.65 Impact Factor -
Article: IGKC and Prognosis in Breast Cancer-Letter.
Clinical Cancer Research 12/2012; · 7.74 Impact Factor -
Article: Expression of aurora kinase A is associated with metastasis-free survival in node-negative breast cancer patients.
[show abstract] [hide abstract]
ABSTRACT: BACKGROUND: Inhibitors targeting the cell cycle-regulated aurora kinase A (AURKA) are currently being developed. Here, we examine the prognostic impact of AURKA in node-negative breast cancer patients without adjuvant systemic therapy (n = 766). METHODS: AURKA was analyzed using microarray-based gene-expression data from three independent cohorts of node-negative breast cancer patients. In multivariate Cox analyses, the prognostic impact of age, histological grade, tumor size, estrogen receptor (ER), and HER2 were considered. RESULTS: Patients with higher AURKA expression had a shorter metastasis-free survival (MFS) in the Mainz (HR 1.93; 95 % CI 1.34 -- 2.78; P < 0.001), Rotterdam (HR 1.95; 95 % CI 1.45-- 2.63; P<0.001) and Transbig (HR 1.52; 95 % CI 1.14--2.04; P=0.005) cohorts. AURKA was also associated with MFS in the molecular subtype ER+/HER2- carcinomas (HR 2.10; 95 % CI 1.70--2.59; P<0.001), but not in ER-/HER2- nor in HER2+ carcinomas. In the multivariate Cox regression adjusted to age, grade and tumor size, AURKA showed independent prognostic significance in the ER+/HER2- subtype (HR 1.73; 95 % CI 1.24--2.42; P=0.001). Prognosis of patients in the highest quartile of AURKA expression was particularly poor. In addition, AURKA correlated with the proliferation metagene (R=0.880; P<0.001), showed a positive association with grade (P<0.001), tumor size (P<0.001) and HER2 (P<0.001), and was inversely associated with ER status (P<0.001). CONCLUSIONS: AURKA is associated with worse prognosis in estrogen receptor positive breast carcinomas. Patients with the highest AURKA expression (>75% percentile) have a particularly bad prognosis and may profit from therapy with AURKA inhibitors.BMC Cancer 11/2012; 12(1):562. · 3.01 Impact Factor -
Article: Decentral gene expression analysis: analytical validation of the Endopredict genomic multianalyte breast cancer prognosis test.
[show abstract] [hide abstract]
ABSTRACT: BACKGROUND: Endopredict (EP) is a clinically validated multianalyte gene expression test to predict distant metastasis in ER-positive, HER2-negative breast cancer treated with endocrine therapy alone. The test is based on the combined analysis of 12 genes in formalin-fixed, paraffin-embedded (FFPE) tissue by reverse transcription-quantitative real-time PCR (qRT-PCR). Recently, it was shown that EP is feasible for reliable decentralized assessment of gene expression. The aim of this study was the analytical validation of the performance characteristics of the assay and its verification in a molecular-pathological routine laboratory. METHODS: Gene expression values to calculate the EP score were assayed by one-step RT-qPCR using RNA from FFPE tumor tissue. Limit of blank, limit of detection, linear range, and PCR efficiency were assessed for each of the 12 PCR assays using serial samples dilutions. Different breast cancer samples were used to evaluate RNA input range, precision and inter-laboratory variability. RESULTS: PCR assays were linear up to Cq values between 35.1 and 37.2. Amplification efficiencies ranged from 75% to 101%. The RNA input range without considerable change of the EP score was between 0.16 and 18.5 ng/ul. Analysis of precision (variation of day, day time, instrument, operator, reagent lots) resulted in a total noise (standard deviation) of 0.16 EP score units on a scale from 0 to 15. The major part of the total noise (SD 0.14) was caused by the replicate-to-replicate noise of the PCR assays (repeatability) and was not associated with different operating conditions (reproducibility). Performance characteristics established in the manufacturer's laboratory were verified in a routine molecular pathology laboratory. Comparison of 10 tumor samples analyzed in two different laboratories showed a Pearson coefficient of 0.995 and a mean deviation of 0.15 score units. CONCLUSIONS: The EP test showed reproducible performance characteristics with good precision and negligible laboratory-to-laboratory variation. This study provides further evidence that the EP test is suitable for decentralized testing in specialized molecular pathological laboratories instead of a reference laboratory. This is a unique feature and a technical advance in comparison with existing RNA-based prognostic multigene expression tests.BMC Cancer 10/2012; 12(1):456. · 3.01 Impact Factor -
Article: Immunoglobulin kappa chain as an immunologic biomarker of prognosis and chemotherapy response in solid tumors.
[show abstract] [hide abstract]
ABSTRACT: Infiltration of plasma cells is associated with better prognosis in breast, lung and colon cancer. Immunoglobulin κ chain (IGKC) is now available as a single, robust immune marker predicting metastasis-free survival and response to chemotherapy. This will facilitate a deeper understanding of the role of the humoral immune system in cancer development.Oncoimmunology. 10/2012; 1(7):1156-1158. -
Article: Tumor architecture exerts no bias on nuclear grading in breast cancer diagnosis.
[show abstract] [hide abstract]
ABSTRACT: We recently reported that nuclear grading in prostate cancer is subject to a strong confirmation bias induced by the tumor architecture. We now wondered whether a similar bias governs nuclear grading in breast carcinoma. An unannounced test was performed at a pathology conference. Pathologists were asked to grade nuclei in a PowerPoint presentation. Circular high power fields of 27 invasive ductal carcinomas were shown, superimposed over low power background images of either tubule-rich or tubule-poor carcinomas. We found (a) that diagnostic reproducibility of nuclear grades was poor to moderate (weighed kappa values between 0.07 and 0.54, 27 cases, 44 graders), but (b) that nuclear grades were not affected by the tumor architecture. We speculate that the categorized grading in breast cancer, separating tubule formation, nuclear pleomorphism, and mitotic figure counts in a combined three tier score, prevents the bias that architecture exerts on nuclear grades in less well-controlled situations.Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin 08/2012; 461(4):399-403. · 2.49 Impact Factor -
Article: Comparison of tear protein levels in breast cancer patients and healthy controls using a de novo proteomic approach.
[show abstract] [hide abstract]
ABSTRACT: Noninvasive biomarkers are urgently needed for early detection of breast cancer since the risk of recurrence, morbidity and mortality are closely related to disease stage at the time of primary surgery. In the past decade, many proteomics-based approaches were developed that utilize the protein profiling of human body fluids or identification of putative biomarkers to obtain more knowledge on the effects of cancer emergence and progression. Herein, we report on an analysis of proteins in the tear fluid from breast carcinoma patients and healthy women using a de novo proteomic approach and 25 mixed samples from each group. This study included 25 patients with primary invasive breast carcinoma and 25 age-matched healthy controls. We performed a MALDI-TOF-TOF-driven semi-quantitative comparison of tear protein levels in cancer (CA) and control (CTRL) using a de novo approach in pooled samples. Over 150 proteins in the tear fluid of CTRL and CA were identified. Using an in-house-developed algorithm we found more than 20 proteins distinctly upregulated or downregulated in the CTRL and CA groups. We identified several proteins that had modified expression in breast cancer patients. These proteins are involved in host immune system pathways (e.g., C1Q1 or S100A8) and different metabolic cascades (ALDH3A or TPI). Further validation of the results in an independent population combined with individual protein profiling of participants is needed to confirm the specificity of our findings and may lead to a better understanding of the pathological mechanism of breast cancer.Oncology Reports 06/2012; 28(2):429-38. · 1.84 Impact Factor -
Article: Weekly nab-Paclitaxel in Metastatic Breast Cancer - Summary and Results of an Expert Panel Discussion.
[show abstract] [hide abstract]
ABSTRACT: Taxanes are regarded as the most effective single agents in the treatment of metastatic breast cancer (MBC). For conventional taxanes, crucial toxicities and impairments in clinical efficacy are related to solvents necessary because of the agents' hydrophobicity. The mandatory premedication with corticosteroids causes additional side effects. Nab-paclitaxel is a solvent-free colloidal suspension of paclitaxel and human serum albumin that exploits the physiological transport properties of albumin. It is registered as monotherapy with a recommended dose of 260 mg/m(2) every 3 weeks for the treatment of patients with MBC, who have failed a first-line treatment of metastatic disease and for whom a standard anthracycline treatment is not indicated. Clinical evidence is available for the registered 3-weekly administration and for alternative weekly schedules in first and further lines of therapy of patients with MBC. During an advisory board meeting, a group of 8 German breast cancer experts reviewed the clinical data of nab-paclitaxel in MBC and discussed how nab-paclitaxel could be used in clinical practice on the basis of the current data.Breast Care 04/2012; 7(2):137-143. · 0.45 Impact Factor -
Article: Decentral gene expression analysis for ER+/Her2- breast cancer: results of a proficiency testing program for the EndoPredict assay.
[show abstract] [hide abstract]
ABSTRACT: Gene expression profiles provide important information about the biology of breast tumors and can be used to develop prognostic tests. However, the implementation of quantitative RNA-based testing in routine molecular pathology has not been accomplished, so far. The EndoPredict assay has recently been described as a quantitative RT-PCR-based multigene expression test to identify a subgroup of hormone-receptor-positive tumors that have an excellent prognosis with endocrine therapy only. To transfer this test from bench to bedside, it is essential to evaluate the test-performance in a multicenter setting in different molecular pathology laboratories. In this study, we have evaluated the EndoPredict (EP) assay in seven different molecular pathology laboratories in Germany, Austria, and Switzerland. A set of ten formalin-fixed paraffin-embedded tumors was tested in the different labs, and the variance and accuracy of the EndoPredict assays were determined using predefined reference values. Extraction of a sufficient amount of RNA and generation of a valid EP score was possible for all 70 study samples (100%). The EP scores measured by the individual participants showed an excellent correlation with the reference values, respectively, as reflected by Pearson correlation coefficients ranging from 0.987 to 0.999. The Pearson correlation coefficient of all values compared to the reference value was 0.994. All laboratories determined EP scores for all samples differing not more than 1.0 score units from the pre-defined references. All samples were assigned to the correct EP risk group, resulting in a sensitivity and specificity of 100%, a concordance of 100%, and a kappa of 1.0. Taken together, the EndoPredict test could be successfully implemented in all seven participating laboratories and is feasible for reliable decentralized assessment of gene expression in luminal breast cancer.Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin 02/2012; 460(3):251-9. · 2.49 Impact Factor -
Article: A comprehensive analysis of human gene expression profiles identifies stromal immunoglobulin κ C as a compatible prognostic marker in human solid tumors.
[show abstract] [hide abstract]
ABSTRACT: Although the central role of the immune system for tumor prognosis is generally accepted, a single robust marker is not yet available. On the basis of receiver operating characteristic analyses, robust markers were identified from a 60-gene B cell-derived metagene and analyzed in gene expression profiles of 1,810 breast cancer; 1,056 non-small cell lung carcinoma (NSCLC); 513 colorectal; and 426 ovarian cancer patients. Protein and RNA levels were examined in paraffin-embedded tissue of 330 breast cancer patients. The cell types were identified with immunohistochemical costaining and confocal fluorescence microscopy. We identified immunoglobulin κ C (IGKC) which as a single marker is similarly predictive and prognostic as the entire B-cell metagene. IGKC was consistently associated with metastasis-free survival across different molecular subtypes in node-negative breast cancer (n = 965) and predicted response to anthracycline-based neoadjuvant chemotherapy (n = 845; P < 0.001). In addition, IGKC gene expression was prognostic in NSCLC and colorectal cancer. No association was observed in ovarian cancer. IGKC protein expression was significantly associated with survival in paraffin-embedded tissues of 330 breast cancer patients. Tumor-infiltrating plasma cells were identified as the source of IGKC expression. Our findings provide IGKC as a novel diagnostic marker for risk stratification in human cancer and support concepts to exploit the humoral immune response for anticancer therapy. It could be validated in several independent cohorts and carried out similarly well in RNA from fresh frozen as well as from paraffin tissue and on protein level by immunostaining.Clinical Cancer Research 02/2012; 18(9):2695-703. · 7.74 Impact Factor -
Article: Geometric computation of human gyrification indexes from magnetic resonance images.
[show abstract] [hide abstract]
ABSTRACT: Human brains are highly convoluted surfaces with multiple folds. To characterize the complexity of these folds and their relationship with neurological and psychiatric conditions, different techniques have been developed to quantify the folding patterns, also known as the surface complexity or gyrification of the brain. In this study, the authors propose a new geometric approach to measure the gyrification of human brains from magnetic resonance images. This approach is based on intrinsic 3D measurements that relate the local brain surface area to the corresponding area of a tightly wrapped sheet. The authors also present an adaptation of this technique in which the geodesic depth is incorporated into the gyrification computation. These gyrification measures are efficiently and accurately computed by solving geometric partial differential equations. The presentation of the geometric framework is complemented with experimental results for brain complexity in typically developing children and adolescents. Using this novel approach, the authors provide evidence for a gradual decrease in brain surface complexity throughout childhood and adolescence. These developmental differences occur earlier in the occipital lobe and move anterior as children progress into young adulthood. Hum Brain Mapp, 2012. © 2012 Wiley Periodicals, Inc.Human Brain Mapping 02/2012; · 5.88 Impact Factor -
Article: Cerebral metastases of an endometrial stromal sarcoma: report of the first case.
[show abstract] [hide abstract]
ABSTRACT: Endometrial stromal sarcomas (ESSs) of the uterus are rare gynecological malignancies. Common locations of distant metastases are vagina, vulva, lung, mediastinum, abdomen, bones and ovaries. We present the case of a 69-year-old woman with a Federation of Gynecology and Obstetrics (FIGO) IIb (classification 2009) ESS of the uterus of high-grade malignancy. Initially, a hysterectomy Piver II and total colpectomy were performed, followed by pelvic field irradiation. 8 months later, the patient suffered seizures and hemiparesis. A computed tomography (CT) scan revealed cerebral metastases, and irradiation of the brain was initiated. After completion of the staging examinations, additional metastases of lung, abdomen, mediastinum, vulva and inguinal lymph nodes were found. This is the first reported case of brain metastases of an ESS. Appropriate treatment options like surgery, chemotherapy or endocrine therapy should be discussed on an individual basis since large-scale clinical trials have not yet been conducted in this rare entity.Onkologie 01/2012; 35(5):272-4. · 0.87 Impact Factor -
Article: Immunoglobulin kappa C predicts overall survival in node-negative breast cancer.
[show abstract] [hide abstract]
ABSTRACT: Biomarkers of the immune system are currently not used as prognostic factors in breast cancer. We analyzed the association of the B cell/plasma cell marker immunoglobulin kappa C (IGKC) and survival of untreated node-negative breast cancer patients. IGKC expression was evaluated by immunostaining in a cohort of 335 node-negative breast cancer patients with a median follow-up of 152 months. The prognostic significance of IGKC for disease-free survival (DFS) and breast cancer-specific overall survival (OS) was evaluated with Kaplan-Meier survival analysis as well as univariate and multivariate Cox analysis adjusted for age at diagnosis, pT stage, histological grade, estrogen receptor (ER) status, progesterone receptor (PR) status, Ki-67 and human epidermal growth factor receptor 2 (HER-2) status. 160 patients (47.7%) showed strong expression of IGKC. Univariate analysis showed that IGKC was significantly associated with DFS (P = 0.017, hazard ratio [HR] = 0.570, 95% confidence interval [CI] = 0.360-0.903) and OS (P = 0.011, HR = 0.438, 95% CI = 0.233-0.822) in the entire cohort. The significance of IGKC was especially strong in ER negative and in luminal B carcinomas. In multivariate analysis IGKC retained its significance independent of established clinical factors for DFS (P = 0.004, HR = 0.504, 95% CI = 0.315-0.804) as well as for OS (P = 0.002, HR = 0.371, 95% CI = 0.196-0.705). Expression of IGKC has an independent protective impact on DFS and OS in node-negative breast cancer.PLoS ONE 01/2012; 7(9):e44741. · 4.09 Impact Factor -
Article: Absence of ectopic epithelial inclusions in 3,904 axillary lymph nodes examined in sentinel technique.
[show abstract] [hide abstract]
ABSTRACT: Intraoperative examination of sentinel axillary lymph nodes can be done by imprint cytology, frozen section, or, most recently, by PCR-based amplification of a cytokeratin signal. Using this technique, benign epithelial inclusions, representing mammary tissue displaced along the milk line, will likely generate a positive PCR signal and lead to a false-positive diagnosis of metastatic disease. To better appreciate the incidence of ectopic epithelial inclusions in axillary lymph nodes, we have performed an autopsy study, examining on 100 μm step sections 3,904 lymph nodes obtained from 160 axillary dissections in 80 patients. The median number of lymph nodes per axilla was 23 (15, 6, and 1 in levels 1, 2, and 3, respectively). A total of 30,450 hematoxylin-eosin stained slides were examined, as well as 8,825 slides immunostained with pan-cytokeratin antibodies. Despite this meticulous work-up, not a single epithelial inclusion was found in this study, suggesting that the incidence of such inclusions is much lower than the assumed 5% reported in the literature.Breast Cancer Research and Treatment 12/2011; 132(2):621-4. · 4.43 Impact Factor -
Article: Survival models with preclustered gene groups as covariates.
[show abstract] [hide abstract]
ABSTRACT: An important application of high dimensional gene expression measurements is the risk prediction and the interpretation of the variables in the resulting survival models. A major problem in this context is the typically large number of genes compared to the number of observations (individuals). Feature selection procedures can generate predictive models with high prediction accuracy and at the same time low model complexity. However, interpretability of the resulting models is still limited due to little knowledge on many of the remaining selected genes. Thus, we summarize genes as gene groups defined by the hierarchically structured Gene Ontology (GO) and include these gene groups as covariates in the hazard regression models. Since expression profiles within GO groups are often heterogeneous, we present a new method to obtain subgroups with coherent patterns. We apply preclustering to genes within GO groups according to the correlation of their gene expression measurements. We compare Cox models for modeling disease free survival times of breast cancer patients. Besides classical clinical covariates we consider genes, GO groups and preclustered GO groups as additional genomic covariates. Survival models with preclustered gene groups as covariates have similar prediction accuracy as models built only with single genes or GO groups. The preclustering information enables a more detailed analysis of the biological meaning of covariates selected in the final models. Compared to models built only with single genes there is additional functional information contained in the GO annotation, and compared to models using GO groups as covariates the preclustering yields coherent representative gene expression profiles.BMC Bioinformatics 12/2011; 12:478. · 2.75 Impact Factor -
Article: Antibody microarray analysis of the serum proteome in primary breast cancer patients.
[show abstract] [hide abstract]
ABSTRACT: Noninvasive biomarkers are urgently needed for detecting breast cancer as early as possible since the risk of recurrence, morbidity, and mortality is closely related to disease stage at the time of primary surgery. There are currently no such biomarkers in clinical use as a diagnostic tool. Proteomic analysis of protein expression patterns in body fluids has potential for use in identifying biomarkers of breast cancer. The aim of this study was to compare protein expression levels in the sera of primary breast cancer patients and healthy controls. An antibody microarray tool with 23 antibodies immobilized on nitrocellulose slides was used to determine the levels of acute phase proteins, interleukins, and complement factors in the sera of 101 study participants (49 women with primary breast cancer and 52 healthy age-matched controls). Statistical analysis of reaction intensities identified 6 proteins that showed significantly (p < 0.05) different levels in breast cancer patients vs. healthy subjects. The neural network distinguished cancer patients from controls with a sensitivity of 69% and a specificity of 76%. Thus, antibody microarray analysis could be used as a tool for the development of improved diagnostics and biomarker discovery for breast cancer patients. Further validation of the results and de novo screening of new biomarkers could facilitate the early diagnosis of breast cancer.Cancer biology & therapy 11/2011; 12(9):772-9. · 2.64 Impact Factor -
Article: A clinically relevant gene signature in triple negative and basal-like breast cancer.
[show abstract] [hide abstract]
ABSTRACT: Current prognostic gene expression profiles for breast cancer mainly reflect proliferation status and are most useful in ER-positive cancers. Triple negative breast cancers (TNBC) are clinically heterogeneous and prognostic markers and biology-based therapies are needed to better treat this disease. We assembled Affymetrix gene expression data for 579 TNBC and performed unsupervised analysis to define metagenes that distinguish molecular subsets within TNBC. We used n = 394 cases for discovery and n = 185 cases for validation. Sixteen metagenes emerged that identified basal-like, apocrine and claudin-low molecular subtypes, or reflected various non-neoplastic cell populations, including immune cells, blood, adipocytes, stroma, angiogenesis and inflammation within the cancer. The expressions of these metagenes were correlated with survival and multivariate analysis was performed, including routine clinical and pathological variables. Seventy-three percent of TNBC displayed basal-like molecular subtype that correlated with high histological grade and younger age. Survival of basal-like TNBC was not different from non basal-like TNBC. High expression of immune cell metagenes was associated with good and high expression of inflammation and angiogenesis-related metagenes were associated with poor prognosis. A ratio of high B-cell and low IL-8 metagenes identified 32% of TNBC with good prognosis (hazard ratio (HR) 0.37, 95% CI 0.22 to 0.61; P < 0.001) and was the only significant predictor in multivariate analysis including routine clinicopathological variables. We describe a ratio of high B-cell presence and low IL-8 activity as a powerful new prognostic marker for TNBC. Inhibition of the IL-8 pathway also represents an attractive novel therapeutic target for this disease.Breast cancer research: BCR 10/2011; 13(5):R97. · 5.24 Impact Factor -
Article: Serum proteome profiling of primary breast cancer indicates a specific biomarker profile.
[show abstract] [hide abstract]
ABSTRACT: Non-invasive biomarkers for early breast cancer detection are urgently needed, as the risk of recurrent morbidity and mortality is closely related to the stage of the disease at the time of primary surgery. Currently, there are no established clinical biomarkers for breast cancer. Evaluation of protein expression patterns in body fluids using proteomic technologies can be used to discover new biomarkers for the detection of breast cancer. The aim of this study was to identify a biomarker signature identifying primary non-metastatic breast cancer and healthy controls. We screened 91 serum samples including 45 breast cancer patients and 46 healthy women using a proteomic approach. We found 14 biomarkers whose combination detects breast cancer patients from non-cancer controls with a sensitivity of 89% and specificity of 67%. Five biomarkers were comparable with previously identified proteins from published data using similar approaches. This biomarker panel allows accurate discrimination between breast cancer and healthy individuals. In addition, it could distinguish subgroups of breast cancer based on patterns of several specific biomarkers. Further validation of biomarkers could potentially facilitate the early diagnosis of breast cancer as an aid to imaging diagnostics.Oncology Reports 08/2011; 26(5):1051-6. · 1.84 Impact Factor -
Article: A new molecular predictor of distant recurrence in ER-positive, HER2-negative breast cancer adds independent information to conventional clinical risk factors.
[show abstract] [hide abstract]
ABSTRACT: According to current guidelines, molecular tests predicting the outcome of breast cancer patients can be used to assist in making treatment decisions after consideration of conventional markers. We developed and validated a gene expression signature predicting the likelihood of distant recurrence in patients with estrogen receptor (ER)-positive, HER2-negative breast cancer treated with adjuvant endocrine therapy. RNA levels assessed by quantitative reverse transcriptase PCR in formalin-fixed, paraffin-embedded tumor tissue were used to calculate a risk score (Endopredict, EP) consisting of eight cancer-related and three reference genes. EP was combined with nodal status and tumor size into a comprehensive risk score, EPclin. Both prespecified risk scores including cutoff values to determine a risk group for each patient (low and high) were validated independently in patients from two large randomized phase III trials [Austrian Breast and Colorectal Cancer Study Group (ABCSG)-6: n = 378, ABCSG-8: n = 1,324]. In both validation cohorts, continuous EP was an independent predictor of distant recurrence in multivariate analysis (ABCSG-6: P = 0.010, ABCSG-8: P < 0.001). Combining Adjuvant!Online, quantitative ER, Ki67, and treatment with EP yielded a prognostic power significantly superior to the clinicopathologic factors alone [c-indices: 0.764 vs. 0.750, P = 0.024 (ABCSG-6) and 0.726 vs. 0.701, P = 0.003 (ABCSG-8)]. EPclin had c-indices of 0.788 and 0.732 and resulted in 10-year distant recurrence rates of 4% and 4% in EPclin low-risk and 28% and 22% in EPclin high-risk patients in ABCSG-6 (P < 0.001) and ABCSG-8 (P < 0.001), respectively. The multigene EP risk score provided additional prognostic information to the risk of distant recurrence of breast cancer patients, independent from clinicopathologic parameters. The EPclin score outperformed all conventional clinicopathologic risk factors.Clinical Cancer Research 08/2011; 17(18):6012-20. · 7.74 Impact Factor
Top co-authors
Top Journals
Institutions
-
2005–2013
-
Johannes Gutenberg-Universität Mainz
- III. Department of Medicine
Mainz, Rhineland-Palatinate, Germany
-
-
2012
-
Universitätsmedizin der Johannes Gutenberg-Universität Mainz
Mainz, Rhineland-Palatinate, Germany -
Uppsala University
Uppsala, Uppsala, Sweden
-
-
2009–2011
-
Goethe-Universität Frankfurt am Main
- Klinik für Frauenheilkunde und Geburtshilfe
Frankfurt am Main, Hesse, Germany
-
-
2010
-
Institute for Analytical Sciences
Dortmund, North Rhine-Westphalia, Germany
-
