tallózása szerző szerint "Lage H"

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ABCC2 (MRP2, cMOAT) localized in the nuclear envelope of breast carcinoma cells correlates with poor clinical outcome

Maciejczyk A; Jagoda E; Wysocka T; Matkowski R; Győrffy, Balázs; Lage H; Surowiak P (2012)
Analysis of gene expression profiles in melanoma cells with acquired resistance against antineoplastic drugs

Győrffy, Balázs; Serra V; Materna V; Schafer R; Dietel M; Schadendorf D; Lage H (2006)

Resistance to various antineoplastic agents is common in the clinical management of malignant melanoma. The biological mechanisms conferring these different drug-resistant phenotypes are still unclear. To identify ...
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 ...
Elevated nuclear S100P expression is associated with poor survival in early breast cancer patients

Maciejczyk A; Lacko A; Ekiert M; Jagoda E; Wysocka T; Matkowski R; Halon A; Győrffy, Balázs; Lage H; Surowiak P (2013)
Enhanced immunoreactivity of TIMP-2 in the stromal compartment of tumor as a marker of favorable prognosis in ovarian cancer patients

Halon A; Nowak-Markwitz E; Donizy P; Matkowski R; Maciejczyk A; Gansukh T; Győrffy, Balázs; Spaczynski M; Zabel M; Lage H; Surowiak P (2012)

Degradation of the extracellular matrix and basement membrane is a critical step in tumor progression. Matrix metalloproteinase 2 (MMP-2) and tissue inhibitor of metalloproteinase 2 (TIMP 2) act in a coordinated manner to ...
Evaluation of microarray preprocessing algorithms based on concordance with RT-PCR in clinical samples

Győrffy, Balázs; Molnár, Béla; Lage H; Szallasi Z; Eklund A (2009)
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 ...
Loss of estrogen receptor beta expression correlates with shorter overall survival and lack of clinical response to chemotherapy in ovarian cancer patients

Halon A; Nowak-Markwitz E; Maciejczyk A; Pudelko M; Gansukh T; Győrffy, Balázs; Donizy P; Murawa D; Matkowski R; Spaczynski M; Lage H; Surowiak P (2011)

Background: Estrogen receptor beta (ERβ) belongs to a large family of nuclear receptors. Recent studies have suggested that ERβ in contrast to ERα might act as a tumour suppressor in ovarian cancer (OVCA). Materials and ...
Multivariate analysis of oestrogen receptor alpha, pS2, metallothionein and CD24 expression in invasive breast cancers

Surowiak P; Materna V; Győrffy, Balázs; Matkowski R; Wojnar A; Maciejczyk A; Paluchowski P; Dziegiel P; Pudelko M; Kornafel J; Dietel M; Kristiansen G; Zabel M; Lage H (2006)

Determination of oestrogen receptor alpha (ER) represents at present the most important predictive factor in breast cancers. Data of ours and of other authors suggest that promising predictive/prognostic factors may also ...

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