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MTMT-ben szereplő publikációk tallózása szerző szerint "Denkert C"

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An online survival analysis tool to rapidly assess the effect of 22,277 genes on breast cancer prognosis using microarray data of 1,809 patients

Győrffy, Balázs; Lánczky A; Eklund AC; Denkert C; Budczies J; Li Q; Szállási Z (2010)

Validating prognostic or predictive candidate genes in appropriately powered breast cancer cohorts are of utmost interest. Our aim was to develop an online tool to draw survival plots, which can be used to assess the ...
A prognostic gene expression index in ovarian cancer - validation across different independent data sets

Denkert C; Budczies J; Darb-Esfahani S; Győrffy, Balázs; Sehouli J; Könsgen D; Zeillinger R; Weichert W; Noske A; Buckendahl AC; Müller BM; Sietel M; Lage H (2009)

Ovarian carcinoma has the highest mortality rate among gynaecological malignancies. In this project, we investigated the hypothesis that molecular markers are able to predict outcome of ovarian cancer independently of ...
Chromosome 9p copy number gains involving PD-L1 are associated with a specific proliferation and immune-modulating gene expression program active across major cancer types

Budczies J; Denkert C; Győrffy, Balázs; Schirmacher P; Stenzinger A (2017)

BACKGROUND: Inhibition of the PD-L1/PD-1 immune checkpoint axis represents one of the most promising approaches of immunotherapy for various cancer types. However, immune checkpoint inhibition is successful only in ...
Classical pathology and mutational load of breast cancer–integration of two worlds

Budczies J; Bockmayr M; Denkert C; Klauschen F; Lennerz JK; Győrffy, Balázs; Dietel M; Loibl S; Weichert W; Stenzinger A (2015)
Gene expression profiling of 30 cancer cell lines predicts resistance towards 11 anticancer drugs at clinically achieved concentrations

Győrffy, Balázs; Surowiak P; Kiesslich O; Denkert C; Schafer R; Dietel M; Lage H (2006)

Cancer patients with tumors of similar grading, staging and histogenesis can have markedly different treatment responses to different chemotherapy agents. So far, individual markers have failed to correctly predict resistance ...
Glutamate enrichment as new diagnostic opportunity in breast cancer

Budczies J; Pfitzner BM; Győrffy, Balázs; Winzer KJ; Radke C; Dietel M; Fiehn O; Denkert C (2015)
MEK1 is associated with carboplatin resistance and is a prognostic biomarker in epithelial ovarian cancer

Pénzváltó, Zsófia; Lánczky A; Lénárt J; Meggyesházi, Nóra; Krenács, Tibor; Szoboszlai, Norbert; Denkert C; Pete, Imre; Győrffy, Balázs (2014)

BACKGROUND: Primary systemic treatment for ovarian cancer is surgery, followed by platinum based chemotherapy. Platinum resistant cancers progress/recur in approximately 25% of cases within six months. We aimed to identify ...
New network topology approaches reveal differential correlation patterns in breast cancer

Bockmayr M; Klauschen F; Győrffy, Balázs; Denkert C; Budczies J (2013)

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MTMT-ben szereplő publikációk tallózása szerző szerint "Denkert C"

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MTMT-ben szereplő publikációk tallózása szerző szerint "Denkert C"

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