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Dive into the research topics where Cristina Cotarelo is active.

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Featured researches published by Cristina Cotarelo.


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.


Journal of Virology | 2013

The Transcription Factors TBX2 and TBX3 Interact with Human Papillomavirus 16 (HPV16) L2 and Repress the Long Control Region of HPVs

Marc A. Schneider; Konstanze D. Scheffer; Timo Bund; Fatima Boukhallouk; Carsten Lambert; Cristina Cotarelo; Gert O. Pflugfelder; Luise Florin; Gilles A. Spoden

ABSTRACT The minor capsid protein L2 of human papillomaviruses (HPVs) has multiple functions during the viral life cycle. Although L2 is required for effective invasion and morphogenesis, only a few cellular interaction partners are known so far. Using yeast two-hybrid screening, we identified the transcription factor TBX2 as a novel interaction partner of HPV type 16 (HPV16) L2. Coimmunoprecipitations and immunofluorescence analyses confirmed the L2-TBX2 interaction and revealed that L2 also interacts with TBX3, another member of the T-box family. Transcription of the early genes during HPV infection is under the control of an upstream enhancer and early promoter region, the long control region (LCR). In promoter-reporter gene assays, we observed that TBX2 and TBX3 repress transcription from the LCR and that this effect is enhanced by L2. Repression of the HPV LCR by TBX2/3 seems to be a conserved mechanism, as it was also observed with the LCRs of different HPV types. Finally, interaction of TBX2 with the LCR was detected by chromatin immunoprecipitation, and we found a strong colocalization of L2 and TBX2 in HPV16-positive cervical intraepithelial neoplasia (CIN) I-II tissue sections. These results suggest that TBX2/3 might play a role in the regulation of HPV gene expression during the viral life cycle.


BMC Cancer | 2014

Prognostic influence of cyclooxygenase-2 protein and mRNA expression in node-negative breast cancer patients

Isabel Sicking; Karlien Rommens; Marco Johannes Battista; D Böhm; Susanne Gebhard; Antje Lebrecht; Cristina Cotarelo; Gerald Hoffmann; Jan G. Hengstler; Marcus Schmidt

BackgroundCyclooxygenases (COX) play a key role in prostaglandin metabolism and are important for tumor development and progression. The aim of this study was to analyze the prognostic impact of COX-2 expression in a cohort of lymph node-negative breast cancer patients not treated in the adjuvant setting.MethodsCOX-2 expression was determined by immunohistochemistry (IHC) in tumor tissue of 193 node-negative breast cancer patients. Additionally, mRNA expression was determined in corresponding tumor samples using microarray based gene-expression data. Univariate and multivariate Cox regression analyses adjusted for age at diagnosis, tumor size, histological grade, human epithelial growth factor receptor 2 (HER2), estrogen receptor (ER) and progesterone receptor (PR) were performed to evaluate the association of both COX-2 protein and mRNA expression with survival. Survival rates were determined by the Kaplan-Meier method. Correlations between COX-2 expression and established prognostic factors were analyzed using the Chi-square test. A potential correlation between COX-2 protein expression and COX-2 mRNA expression was assessed utilizing the Kruscal-Wallis-H-test.ResultsCOX-2 protein expression was positive in 24.9% of the breast cancer samples. Univariate analysis showed that COX-2 protein expression was associated with shorter disease-free survival (DFS) (P = 0.0001), metastasis-free survival (MFS) (P = 0.002) as well as breast cancer specific overall survival (OS) (P = 0.043). In multivariate analysis COX-2 expression retained its significance independent of established prognostic factors for shorter DFS (P < 0.001, HR = 2.767, 95% CI = 1.563-4.901) and for inferior MFS (P = 0.002, HR = 2.7, 95% CI = 1.469-5.263) but not for OS (P = 0.096, HR = 1.929, 95% CI = 0.889-4.187). In contrast, COX-2 mRNA expression was not related to survival and failed to show a correlation with protein expression (P = 0.410).ConclusionsThe present findings support the hypothesis that COX-2 protein but not mRNA expression is associated with an unfavorable outcome in node-negative breast cancer.


Oncology Reports | 2014

Ki-67 as an independent prognostic factor in an unselected cohort of patients with ovarian cancer: Results of an explorative, retrospective study

Marco Johannes Battista; Nina Mantai; Isabel Sicking; Cristina Cotarelo; Veronika Weyer; Antje Lebrecht; Christine Solbach; Marcus Schmidt

The identification of prognostic markers has clinical implications in epithelial ovarian carcinoma (EOC). Here, we studied markers for proliferation (Ki-67), endocrine regulation [progesterone receptor (PR), estrogen receptor (ER)], and invasion [urokinase-type plasminogen activator (uPA) and plasminogen activator inhibitor (PAI-1)]. All patients with available follow-up information and EOC tissue, who were treated at our institution between 1997 and 2004, were enrolled in the present study. Expression of Ki-67, PR and ER was determined by immunohistochemical analyses. uPA and PAI-1 antigen levels were determined using enzyme‑linked immunosorbent assays. One hundred and eight patients entered the present study. The median follow-up time was 43.3 (range 11.4-68.0) months. In multivariable Cox regression analyses, Ki-67 expression showed an independent negative impact on disease-free survival (DFS) and overall survival (OS) [hazard ratio (HR) for DFS, 11.5; 95% confidence interval (CI), 2.64-49.7; p=0.001 and HR for OS, 21.2; 95% CI, 9.9-113.1; p<0.001]. After cut-off optimization, PR expression showed an independent positive impact on prognosis (HR for DFS, 0.15; 95% CI, 0.03-0.68; p=0.014 and HR for OS, 0.13; 95% CI, 0.03‑0.68; p=0.016). Furthermore, postoperative residual tumor burden and completeness of chemotherapy determined the prognosis. ER, uPA and PAI-1 were not associated with survival. PR and ER, and postoperative residual tumor burden and tumor stage showed a strong correlation in an explorative Spearmans rank correlation coefficient (rho=0.759 and rho=0.426, respectively). Ki-67 and cut-off optimized PR are independently associated with the prognosis of EOC. Further prospective studies are warranted to confirm these associations and to elucidate the underlying mechanisms.


Oncotarget | 2016

Detection of cellular senescence within human invasive breast carcinomas distinguishes different breast tumor subtypes

Cristina Cotarelo; Arno Schad; Charles James Kirkpatrick; Jonathan P. Sleeman; Erik Springer; Marcus Schmidt; Sonja Thaler

Oncogene-induced senescence is thought to act as a barrier to tumorigenesis by arresting cells at risk of malignant transformation. Nevertheless, numerous findings suggest that senescent cells may conversely promote tumor progression through the development of the senescence-associated secretome they produce. It is likely that the composition and the physiological consequences mediated by the senescence secretome are dependent on the oncogenes that trigger the senescence program. Breast cancer represents a heterogenous disease that can be divided into breast cancer subtypes due to different subsets of genetic and epigenetic abnormalities. As tumor initiation and progression of these breast cancer subtypes is triggered by diverse oncogenic stimuli, differences in the senescence secretomes within breast tumors might be responsible for tumor initiation, progression, metastasis and therapeutic response. Many studies have addressed the role of senescence as a barrier to tumor progression using murine xenograft models. However, few investigations have been performed to elucidate the degree to which senescent tumor cells are present within untreated human tumors, and if present, whether these senescent tumor cells may play a role in disease progression. In the present study we analysed the appearance of senescent cells within invasive breast cancers. Detection of cellular senescence by the use of SAβ-galactosidase (SAβ-gal) staining within invasive breast carcinoms from 129 untreated patients revealed differences in the amount of SAβ-gal+ tumor cells between breast cancer subtypes. The highest percentages of SAβ-gal+ tumor cells were found in HER2-positive and luminal A breast carcinomas whereas triple negative tumors showed either little or no positivity.


Breast Cancer Research and Treatment | 2011

Ep-CAM RNA expression predicts metastasis-free survival in three cohorts of untreated node-negative breast cancer

Marcus Schmidt; Ilka Brigitte Petry; D Böhm; Antje Lebrecht; Christian von Törne; Susanne Gebhard; Aslihan Gerhold-Ay; Cristina Cotarelo; Marco Johannes Battista; Wiebke Schormann; Evgenia Freis; Silvia Selinski; Katja Ickstadt; Jörg Rahnenführer; Martin Sebastian; Martin Schuler; Heinz Koelbl; Mathias Gehrmann; Jan G. Hengstler


Journal of Cancer Research and Clinical Oncology | 2014

Overexpression of epithelial cell adhesion molecule protein is associated with favorable prognosis in an unselected cohort of ovarian cancer patients

Marco Johannes Battista; Cristina Cotarelo; Sina Jakobi; Joscha Steetskamp; Georgios‑Marios Makris; Isabel Sicking; Veronika Weyer; Marcus Schmidt


Cell Death and Disease | 2016

‘Normalizing’ the malignant phenotype of luminal breast cancer cells via alpha(v)beta(3)-integrin

Hanan Abu-Tayeh; Keren Weidenfeld; Alisa Zhilin-Roth; Sagi Schif-Zuck; Sonja Thaler; Cristina Cotarelo; Tuan Z. Tan; Jean P Thiery; Jeffrey E. Green; Geula Klorin; Edmond Sabo; Jonathan P. Sleeman; Maty Tzukerman; Dalit Barkan


Oncology Letters | 2016

c‑met is overexpressed in type I ovarian cancer: Results of an investigative analysis in a cohort of consecutive ovarian cancer patients

Marco Johannes Battista; Marcus Schmidt; Sina Jakobi; Cristina Cotarelo; Katrin Almstedt; Anne‑Sophie Heimes; Georgios‑Marios Makris; Veronika Weyer; Antje Lebrecht; Gerald Hoffmann; Michael Eichbaum


Journal of Cancer Research and Clinical Oncology | 2016

Feasibility of induced metabolic bioluminescence imaging in advanced ovarian cancer patients: first results of a pilot study.

Marco Johannes Battista; Kristina Goetze; Marcus Schmidt; Cristina Cotarelo; Veronika Weyer-Elberich; Annette Hasenburg; Wolfgang Mueller-Klieser; Stefan Walenta

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Jan G. Hengstler

Technical University of Dortmund

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