Network


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

Hotspot


Dive into the research topics where Thomas Rüdiger is active.

Publication


Featured researches published by Thomas Rüdiger.


Cancer Research | 2011

Common Breast Cancer Susceptibility Loci Are Associated with Triple-Negative Breast Cancer

Kristen N. Stevens; Celine M. Vachon; Adam Lee; Susan L. Slager; Timothy G. Lesnick; Curtis Olswold; Peter A. Fasching; Penelope Miron; Diana Eccles; Jane Carpenter; Andrew K. Godwin; Christine B. Ambrosone; Robert Winqvist; Hiltrud Brauch; Marjanka K. Schmidt; Angela Cox; Simon S. Cross; Elinor Sawyer; Arndt Hartmann; Matthias W. Beckmann; Rud̈iger Schulz-Wendtland; Arif B. Ekici; William Tapper; Susan M. Gerty; Lorraine Durcan; Nikki Graham; Rebecca Hein; Stephan Nickels; Dieter Flesch-Janys; Judith Heinz

Triple-negative breast cancers are an aggressive subtype of breast cancer with poor survival, but there remains little known about the etiologic factors that promote its initiation and development. Commonly inherited breast cancer risk factors identified through genome-wide association studies display heterogeneity of effect among breast cancer subtypes as defined by the status of estrogen and progesterone receptors. In the Triple Negative Breast Cancer Consortium (TNBCC), 22 common breast cancer susceptibility variants were investigated in 2,980 Caucasian women with triple-negative breast cancer and 4,978 healthy controls. We identified six single-nucleotide polymorphisms, including rs2046210 (ESR1), rs12662670 (ESR1), rs3803662 (TOX3), rs999737 (RAD51L1), rs8170 (19p13.1), and rs8100241 (19p13.1), significantly associated with the risk of triple-negative breast cancer. Together, our results provide convincing evidence of genetic susceptibility for triple-negative breast cancer.


Breast Cancer Research and Treatment | 2014

RANK expression as a prognostic and predictive marker in breast cancer.

Berit M. Pfitzner; Daniel Branstetter; Sibylle Loibl; Carsten Denkert; Bianca Lederer; Wolfgang D. Schmitt; Frank Dombrowski; Martin Werner; Thomas Rüdiger; William C. Dougall; Gunter von Minckwitz

RANK ligand (RANKL) is crucial for the development of mouse mammary glands during pregnancy. RANKL functions as a major paracrine effector of the mitogenic action of progesterone in mammary epithelium via its receptor RANK and has a role in expansion and regenerative potential of mammary stem cells. Pharmacologic inhibition of RANKL attenuates the development of mammary carcinoma and inhibits metastatic progression in multiple mouse models. Primary breast carcinoma samples from the neoadjuvant GeparTrio study were analyzed to correlate the expression of human RANK and RANKL with pathological complete response (pCR), disease-free (DFS), and overall (OS) survival. Pre-treatment FFPE core biopsies (nxa0=xa0601) were analyzed for percentage and intensity of immunohistochemical RANK and RANKL expression. Antibodies against human RANK (N-1H8; Amgen) and human RANKL (M366; Amgen) were used. RANK protein was expressed in 160 (27xa0%) patients. Increased RANK expression was observed in 14.5xa0% of patients and correlated with high tumor grade (pxa0<xa00.023) and negative hormone receptor (HR) status (pxa0<xa00.001). Patients with high RANK expression showed a higher pCR rate (23.0xa0% vs. 12.6xa0%, pxa0=xa00.010), shorter DFS (pxa0=xa00.038), and OS (pxa0=xa00.011). However, prognostic and predictive information was not an independent parameter. Only 6xa0% of samples expressed RANKL, which was not correlated with any clinical features. Higher RANK expression in the primary tumor is associated with a higher sensitivity to chemotherapy, but also a higher risk of relapse and death. Our study provides a basis for further exploration of the antitumor activity of clinical antibodies against RANKL.


Breast Cancer Research and Treatment | 2016

Genes associated with histopathologic features of triple negative breast tumors predict molecular subtypes

Kristen Purrington; Daniel W. Visscher; Chen Wang; Drakoulis Yannoukakos; Ute Hamann; Heli Nevanlinna; Angela Cox; Graham G. Giles; Jeanette E. Eckel-Passow; Sotiris Lakis; Vassiliki Kotoula; George Fountzilas; Maria Kabisch; Thomas Rüdiger; Päivi Heikkilä; Carl Blomqvist; Simon S. Cross; Melissa C. Southey; Janet E. Olson; Judy Gilbert; Sandra Deming-Halverson; Veli-Matti Kosma; Christine L. Clarke; Rodney J. Scott; J. Louise Jones; Wei Zheng; Arto Mannermaa; Carpenter for Abctc Investigators Jane Carpenter for Abctc Investigators; Diana Eccles; Celine M. Vachon

Distinct subtypes of triple negative (TN) breast cancer have been identified by tumor expression profiling. However, little is known about the relationship between histopathologic features of TN tumors, which reflect aspects of both tumor behavior and tumor microenvironment, and molecular TN subtypes. The histopathologic features of TN tumors were assessed by central review and 593 TN tumors were subjected to whole genome expression profiling using the Illumina Whole Genome DASL array. TN molecular subtypes were defined based on gene expression data associated with histopathologic features of TN tumors. Gene expression analysis yielded signatures for four TN subtypes (basal-like, androgen receptor positive, immune, and stromal) consistent with previous studies. Expression analysis also identified genes significantly associated with the 12 histological features of TN tumors. Development of signatures using these markers of histopathological features resulted in six distinct TN subtype signatures, including an additional basal-like and stromal signature. The additional basal-like subtype was distinguished by elevated expression of cell motility and glucose metabolism genes and reduced expression of immune signaling genes, whereas the additional stromal subtype was distinguished by elevated expression of immunomodulatory pathway genes. Histopathologic features that reflect heterogeneity in tumor architecture, cell structure, and tumor microenvironment are related to TN subtype. Accounting for histopathologic features in the development of gene expression signatures, six major subtypes of TN breast cancer were identified.


Breast Cancer Research | 2015

Assessment of variation in immunosuppressive pathway genes reveals TGFBR2 to be associated with prognosis of estrogen receptor-negative breast cancer after chemotherapy

Jieping Lei; Anja Rudolph; Kirsten B. Moysich; Sajjad Rafiq; Sabine Behrens; Ellen L. Goode; Paul Pharoah; Petra Seibold; Peter A. Fasching; Irene L. Andrulis; Vessela N. Kristensen; Fergus J. Couch; Ute Hamann; Maartje J. Hooning; Heli Nevanlinna; Ursula Eilber; Manjeet K. Bolla; Joe Dennis; Qin Wang; Annika Lindblom; Arto Mannermaa; Diether Lambrechts; Montserrat Garcia-Closas; Per Hall; Georgia Chenevix-Trench; Mitul Shah; Robert Luben; Lothar Haeberle; Arif B. Ekici; Matthias W. Beckmann

IntroductionTumor lymphocyte infiltration is associated with clinical response to chemotherapy in estrogen receptor (ER) negative breast cancer. To identify variants in immunosuppressive pathway genes associated with prognosis after adjuvant chemotherapy for ER-negative patients, we studied stage I-III invasive breast cancer patients of European ancestry, including 9,334 ER-positive (3,151 treated with chemotherapy) and 2,334 ER-negative patients (1,499 treated with chemotherapy).MethodsWe pooled data from sixteen studies from the Breast Cancer Association Consortium (BCAC), and employed two independent studies for replications. Overall 3,610 single nucleotide polymorphisms (SNPs) in 133 genes were genotyped as part of the Collaborative Oncological Gene-environment Study, in which phenotype and clinical data were collected and harmonized. Multivariable Cox proportional hazard regression was used to assess genetic associations with overall survival (OS) and breast cancer-specific survival (BCSS). Heterogeneity according to chemotherapy or ER status was evaluated with the log-likelihood ratio test.ResultsThree independent SNPs in TGFBR2 and IL12B were associated with OS (P <10−3) solely in ER-negative patients after chemotherapy (267 events). Poorer OS associated with TGFBR2 rs1367610 (Gu2009>u2009C) (per allele hazard ratio (HR) 1.54 (95% confidence interval (CI) 1.22 to 1.95), Pu2009=u20093.08u2009×u200910−4) was not found in ER-negative patients without chemotherapy or ER-positive patients with chemotherapy (P for interaction <10−3). Two SNPs in IL12B (r2u2009=u20090.20) showed different associations with ER-negative disease after chemotherapy: rs2546892 (Gu2009>u2009A) with poorer OS (HR 1.50 (95% CI 1.21 to 1.86), Pu2009=u20091.81u2009×u200910−4), and rs2853694 (Au2009>u2009C) with improved OS (HR 0.73 (95% CI 0.61 to 0.87), Pu2009=u20093.67u2009×u200910−4). Similar associations were observed with BCSS. Association with TGFBR2 rs1367610 but not IL12B variants replicated using BCAC Asian samples and the independent Prospective Study of Outcomes in Sporadic versus Hereditary Breast Cancer Study and yielded a combined HR of 1.57 ((95% CI 1.28 to 1.94), Pu2009=u20092.05u2009×u200910−5) without study heterogeneity.ConclusionsTGFBR2 variants may have prognostic and predictive value in ER-negative breast cancer patients treated with adjuvant chemotherapy. Our findings provide further insights into the development of immunotherapeutic targets for ER-negative breast cancer.

Collaboration


Dive into the Thomas Rüdiger's collaboration.

Top Co-Authors

Avatar

Arif B. Ekici

University of Erlangen-Nuremberg

View shared research outputs
Top Co-Authors

Avatar

Matthias W. Beckmann

University of Erlangen-Nuremberg

View shared research outputs
Top Co-Authors

Avatar

Peter A. Fasching

University of Erlangen-Nuremberg

View shared research outputs
Top Co-Authors

Avatar

Ute Hamann

German Cancer Research Center

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Diana Eccles

University of Southampton

View shared research outputs
Top Co-Authors

Avatar

Arto Mannermaa

University of Eastern Finland

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Angela Cox

University of Sheffield

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge