A
András Lánczky
Researcher at Semmelweis University
Publications - 16
Citations - 8193
András Lánczky is an academic researcher from Semmelweis University. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 13, co-authored 16 publications receiving 6252 citations. Previous affiliations of András Lánczky include Hungarian Academy of Sciences.
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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.
Balazs Gyorffy,András Lánczky,Aron Charles Eklund,Carsten Denkert,Jan Budczies,Qiyuan Li,Zoltan Szallasi,Zoltan Szallasi +7 more
TL;DR: An online tool to draw survival plots, which can be used to assess the relevance of the expression levels of various genes on the clinical outcome both in untreated and treated breast cancer patients, and which validated the capability of microarrays to determine estrogen receptor status in 1,231 patients.
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Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer
TL;DR: An integrated database and an online tool capable of uni- and multivariate analysis for in silico validation of new biomarker candidates in non-small cell lung cancer are established.
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Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets
TL;DR: An integrated miRNA expression database was set up and prognostic miRNAs identified as potential prognostic biomarkers for HCC were validated and the expression was significantly altered in 102 mi RNAs in tumors compared to normal liver tissues.
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Cross-validation of survival associated biomarkers in gastric cancer using transcriptomic data of 1,065 patients
A. Marcell Szász,András Lánczky,Ádám Nagy,Susann Förster,Kim Hark,Jeffrey E. Green,Alex Boussioutas,Rita A. Busuttil,András Szabó,Balázs Győrffy +9 more
TL;DR: A robust database enabling the swift validation of previous and future gastric cancer survival biomarker candidates predicting first progression (FP) and overall survival (OS) using uni- and multivariate Cox proportional hazards regression analysis is established.
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Implementing an online tool for genome-wide validation of survival-associated biomarkers in ovarian-cancer using microarray data from 1287 patients.
TL;DR: In this article, the authors developed a global online biomarker validation platform that mines all available microarray data to assess the prognostic power of 22,277 genes in 1287 ovarian cancer patients.