Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Antje Lebrecht is active.

Publication


Featured researches published by Antje Lebrecht.


Clinical Cancer Research | 2012

A Comprehensive Analysis of Human Gene Expression Profiles Identifies Stromal Immunoglobulin κ C as a Compatible Prognostic Marker in Human Solid Tumors

Marcus Schmidt; Birte Hellwig; Seddik Hammad; Amnah Othman; Miriam Lohr; Zonglin Chen; Daniel Boehm; Susanne Gebhard; Ilka Brigitte Petry; Antje Lebrecht; Cristina Cadenas; Rosemarie Marchan; Joanna D. Stewart; Christine Solbach; Lars Holmberg; Karolina Edlund; Hanna Göransson Kultima; Achim Rody; Anders Berglund; Mats Lambe; Anders Isaksson; Johan Botling; Thomas Karn; Volkmar Müller; Aslihan Gerhold-Ay; Christina Cotarelo; Martin Sebastian; Ralf Kronenwett; Hans Bojar; Hans A. Lehr

Purpose: Although the central role of the immune system for tumor prognosis is generally accepted, a single robust marker is not yet available. Experimental Design: 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. Results: 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. Conclusion: 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. Clin Cancer Res; 18(9); 2695–703. ©2012 AACR.


Tumor Biology | 2004

Monocyte Chemoattractant Protein-1 Serum Levels in Patients with Breast Cancer

Antje Lebrecht; Christoph Grimm; Tilmann Lantzsch; Elisabeth Ludwig; Lukas Hefler; Eva J. Ulbrich; Heinz Koelbl

The chemokine monocyte chemoattractant protein (MCP)-1 is thought to be involved in breast carcinogenesis. We evaluated MCP-1 serum levels in patients with breast cancer (n = 135), ductal carcinoma in situ (DCIS) I–III (n = 30), benign breast lesions (n = 143) and in healthy women (n = 27). We determined the value of MCP-1 serum levels as a differentiation marker between malignant, preinvasive and benign breast diseases and as a predictive marker for the biological phenotype of breast carcinoma. Median (range) MCP-1 serum levels in patients with breast cancer, DCIS I–III, benign breast lesions and healthy women were 200 (57–692) pg/ml, 194 (58–525) pg/ml, 174 (39–529) pg/ml and 175 (67–425) pg/ml, respectively. No differences were ascertained between the patient groups. In patients with breast cancer, increased MCP-1 serum levels were correlated with advanced tumor stage (p = 0.04) and lymph node involvement (p = 0.04). We were not able to establish MCP-1 as a differentiation marker between malignant and benign breast diseases. Our data might indicate that MCP-1 influences breast carcinogenesis by facilitating tumor growth and metastatic spread, thus altering the biological phenotype of the disease.


European Journal of Radiology | 2009

Interdisciplinary consensus on the uses and technique of MR-guided vacuum-assisted breast biopsy (VAB): Results of a European consensus meeting

Sylvia H. Heywang-Köbrunner; Ruchi Sinnatamby; Annette Lebeau; Antje Lebrecht; Peter Britton; Ingrid Schreer

PURPOSE Quality assurance of MR-guided vacuum-assisted breast biopsy (VAB). METHOD A consensus was achieved based on the existing literature and experience of an interdisciplinary group comprising European specialists in breast imaging and VAB. RESULTS Full imaging work-up must be completed according to existing standards before an indication for MR-guided VAB is established. The procedure should be reserved for lesions demonstrable by MRI alone. Acquisition of >24 cores (11-Gauge) should be routinely attempted, with the intention of sufficiently removing small lesions for accurate diagnosis. Following biopsy the patient should be re-imaged to demonstrate the biopsy site and its proximity to the lesion and hence the likely accuracy of the sampling. All patients should be discussed in a regular interdisciplinary conference and a documented consensus reached regarding patient management. Regular audit and review of all MR-guided VAB results and subsequent follow-up are recommended. CONCLUSION This consensus includes protocols for the indication, performance parameters, interdisciplinary interpretation therapeutic recommendation, documentation and follow-up of MR-guided VAB. It does not replace official recommendations for percutaneous biopsy.


Clinical Cancer Research | 2008

Prognostic Effect of Epithelial Cell Adhesion Molecule Overexpression in Untreated Node-Negative Breast Cancer

Marcus Schmidt; Dirk Hasenclever; Mitra Schaeffer; Daniel Boehm; Cristina Cotarelo; Eric Steiner; Antje Lebrecht; Wulf Siggelkow; Wolfgang Weikel; Ilka Schiffer-Petry; Susanne Gebhard; Henryk Pilch; Mathias Gehrmann; Hans-Anton Lehr; Heinz Koelbl; Jan G. Hengstler; Martin Schuler

Purpose: Epithelial cell adhesion molecule (Ep-CAM) recently received increased attention not only as a prognostic factor in breast cancer but also as a potential target for immunotherapy. We examined Ep-CAM expression in 402 consecutive node-negative breast cancer patients with long-term follow-up not treated in the adjuvant setting. Experimental Design: Ep-CAM expression was evaluated by immunostaining. Its prognostic effect was estimated relative to overexpression/amplification of HER-2, histologic grade, tumor size, age, and hormone receptor expression. Results: Ep-CAM status was positive in 106 (26.4%) patients. In multivariate analysis, Ep-CAM status was associated with disease-free survival independent of age, pT stage, histologic grade, estrogen receptor (ER), progesterone receptor (PR), as well as HER2 status (P = 0.028; hazard ratio, 1.60; 95% confidence interval, 1.05-2.44). Recently, so-called triple-negative (HER-2, ER, and PR) breast cancer has received increased attention. We noticed a similar association of Ep-CAM with disease-free survival in the triple-negative group as for the entire cohort. Conclusion: In this study of untreated breast cancer patients, Ep-CAM overexpression was associated with poor survival in the entire cohort and in the subgroup of triple-negative breast cancer. This suggests that Ep-CAM may be a well-suited target for specific therapies particularly in HER-2–, ER-, and PR-negative tumors.


BMC Cancer | 2012

Expression of aurora kinase A is associated with metastasis-free survival in node-negative breast cancer patients.

Wulf Siggelkow; Daniel Boehm; Susanne Gebhard; Marco Johannes Battista; Isabel Sicking; Antje Lebrecht; Christine Solbach; Birte Hellwig; Jörg Rahnenführer; Heinz Koelbl; Mathias Gehrmann; Rosemarie Marchan; Cristina Cadenas; Jan G. Hengstler; Marcus Schmidt

BackgroundInhibitors 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).MethodsAURKA 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.ResultsPatients 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).ConclusionsAURKA 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.


Breast Cancer Research and Treatment | 2006

Polymorphisms of the endothelial nitric oxide synthase gene in breast cancer

Lukas Hefler; Christoph Grimm; Tilmann Lantzsch; Dieter Lampe; Heinz Koelbl; Antje Lebrecht; Georg Heinze; Clemens Tempfer; Alexander Reinthaller; Robert Zeillinger

SummaryNitric oxide (NO) is known to be critically involved in breast carcinogenesis. Genetic polymorphisms of the gene encoding for endothelial nitric oxide synthase (Nos3), the enzyme catalyzing the production of the NO, are known to predispose to malignant disease. Whether these polymorphisms also influence breast cancer risk is unknown. In the present case–control study, we ascertained 2 polymorphisms of the Nos3 gene cluster (Nos3exon 7 Glu298Asp and a 27-base pair repeat in intron 4 of Nos3) in 269 Caucasian patients with breast cancer and 244 healthy controls using pyrosequencing and PCR, respectively. Presence of the exon 7 Nos3 polymorphism predisposed women to breast cancer (p=0.03, Odds ratio [95% Confidence Intervals]=1.9 [1.1–3.6]), but was not associated with any clinico-pathological parameters. No significant associations were ascertained with respect to the intron 4 Nos3 polymorphism. In our series, presence of the mutant exon7 Nos3 polymorphism was associated with an increased risk for breast cancer in Caucasian women.


Oncology Reports | 2012

Comparison of tear protein levels in breast cancer patients and healthy controls using a de novo proteomic approach

D Böhm; Ksenia Keller; Nils Boehm; Dominik Wolters; W. Siggelkow; Antje Lebrecht; Marcus Schmidt; H. Kölbl; Norbert Pfeiffer; F. H. Grus

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.


International Journal of Biological Markers | 2004

Transforming growth factor beta 1 serum levels in patients with preinvasive and invasive lesions of the breast

Antje Lebrecht; Christoph Grimm; G. Euller; Elisabeth Ludwig; Eva J. Ulbrich; Tilmann Lantzsch; Lukas Hefler; Heinz Koelbl

Transforming growth factor beta (TGF-beta)1 is thought to be involved in breast carcinogenesis. TGF-beta1 acts in an antiproliferative manner in the early stages of breast carcinogenesis, but promotes tumor progression and metastases in the advanced stages of the disease. No data have been published on serum TGF-beta1 in breast cancer. We investigated TGF-beta1 serum levels in patients with breast cancer (n=135), ductal carcinoma in situ (DCIS) I to III (n=67) or fibroadenoma (n=35), and in healthy women (n=40) to determine its value as a differentiation marker between malignant, pre-invasive and benign diseases and as a predictive marker for metastatic spread. Median (range) TGF-beta1 serum levels in patients with breast cancer, DCIS I-III or benign breast lesions and in healthy women were 48.8 (18-82.4) pg/mL, 45.3 (26.9-58.3) pg/mL, 47.2 (17.2-80.5) pg/mL and 51.6 (30.9-65.1) pg/mL, respectively (p=0.2). In breast cancer patients TGF-beta1 serum levels showed no statistically significant correlation with tumor stage, lymph node involvement, histological grade, estrogen receptor status and progesterone receptor status. Our data fail to indicate any correlation between serum TGF-beta1 levels and clinicopathological parameters of breast diseases. Serum TGF-beta1 levels do not provide clinical information in addition to established tumor markers.


American Journal of Surgery | 2003

Evaluation of mammographic and clinical follow-up after 755 stereotactic vacuum-assisted breast biopsies

Kerstin Rotter; Grit Haentschel; Doreen Koethe; Linda Goetz; A Bornhofen-Pöschke; Antje Lebrecht; Heinz Kölbl; Sylvia Heywang-Koebrunner

PURPOSE Stereotactic vacuum-assisted breast biopsy (VB) is a new method that promises high accuracy and reliability. In order to avoid surgery in cases with benign histology the examination must be quality assured and the accuracy should be well established. We present follow-up data of 755 VBs with benign results. METHODS In all, 984 of 1268 consecutive VBs proved histopathologically benign (lobular carcinoma in situ and atypical ductal hyperplasia not included). Follow-up data are available for 755 of 984 (77%) lesions and constitute the basis of this evaluation. Follow-up mammograms were performed of 728 lesions at 6 to 67 months (mean 24, median 17.8) after VB. RESULTS Seven technically unsuccessful cases underwent immediate rebiopsy; 3 unsuccessful cases were diagnosed otherwise. No false negative occurred among the 752 followed-up, eventually successful VBs. On follow-up mammography 444 of 728 (61%) benign lesions proved radiologically completely removed, 284 (39%) partially. In 6 cases (0.8%) a surgical biopsy was performed again during the follow-up time confirming the benign result. No scar was seen in 96%, a slight scar in 3.8%, and a small stellate scar with possible diagnostic interference in 0.3%. CONCLUSIONS A benign diagnosis of quality assured VB is very reliable and leads to no or minimal scarring.


PLOS ONE | 2012

Immunoglobulin kappa C predicts overall survival in node-negative breast cancer.

Zonglin Chen; Aslihan Gerhold-Ay; Susanne Gebhard; Daniel Boehm; Christine Solbach; Antje Lebrecht; Marco Johannes Battista; Isabel Sicking; Christina Cotarelo; Cristina Cadenas; Rosemarie Marchan; Joanna D. Stewart; Mathias Gehrmann; Heinz Koelbl; Jan G. Hengstler; Marcus Schmidt

Background 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. Material and Methods 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. Results 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). Conclusion Expression of IGKC has an independent protective impact on DFS and OS in node-negative breast cancer.

Collaboration


Dive into the Antje Lebrecht's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jan G. Hengstler

Technical University of Dortmund

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge