Gene expression profiling of breast cancer

Por Pusztai, Lajos
Publicado em 2009

Predicting prognosis of breast cancer with gene signatures: are we lost in a sea of data?

Por Iwamoto, Takayuki, Pusztai, Lajos
Publicado em 2010

Molecular profiling contributes more than routine histology and immonohistochemistry to breast cancer diagnostics

Por Shiang, Christine, Pusztai, Lajos
Publicado em 2010

Unvalidated antibodies and misleading results

Por Rimm, David, Schalper, Kurt, Pusztai, Lajos
Publicado em 2014

Functional polymorphisms in cancer

Por Agarwal, Divyansh, Hatzis, Christos, Pusztai, Lajos
Publicado no Oncoscience (2015)

Uptake of exemestane chemoprevention in postmenopausal women at increased risk for breast cancer

Por Aktas, Bilge, Sorkin, Mia, Pusztai, Lajos, Hofstatter, Erin W.
Publicado no Eur J Cancer Prev (2016)

Estrogen and HER-2 Receptor Discordance Between Primary Breast Cancer and Metastasis

Por Pusztai, Lajos, Viale, Giuseppe, Kelly, Catherine M., Hudis, Clifford A.
Publicado em 2010

The Bimodality Index: A Criterion for Discovering and Ranking Bimodal Signatures from Cancer Gene Expression Profiling Data

Por Wang, Jing, Wen, Sijin, Symmans, W. Fraser, Pusztai, Lajos, Coombes, Kevin R.
Publicado em 2009

Bayesian Mixture Models for Assessment of Gene Differential Behaviour and Prediction of pCR through the Integration of Copy Number and Gene Expression Data

Por Trentini, Filippo, Ji, Yuan, Iwamoto, Takayuki, Qi, Yuan, Pusztai, Lajos, Müller, Peter
Publicado em 2013

Multigene prognostic tests in breast cancer: past, present, future

Por Győrffy, Balázs, Hatzis, Christos, Sanft, Tara, Hofstatter, Erin, Aktas, Bilge, Pusztai, Lajos
Publicado no Breast Cancer Res (2015)

Dynamic classification using case-specific training cohorts outperforms static gene expression signatures in breast cancer

Por Győrffy, Balázs, Karn, Thomas, Sztupinszki, Zsófia, Weltz, Boglárka, Müller, Volkmar, Pusztai, Lajos
Publicado no Int J Cancer (2015)

A genome-wide approach to link genotype to clinical outcome by utilizing next generation sequencing and gene chip data of 6,697 breast cancer patients

Por Pongor, Lőrinc, Kormos, Máté, Hatzis, Christos, Pusztai, Lajos, Szabó, András, Győrffy, Balázs
Publicado no Genome Med (2015)

Deciphering and Targeting Oncogenic Mutations and Pathways in Breast Cancer

Por Santarpia, Libero, Bottai, Giulia, Kelly, Catherine M., Győrffy, Balázs, Székely, Borbala, Pusztai, Lajos
Publicado no Oncologist (2016)

Lack of sufficiently strong informative features limits the potential of gene expression analysis as predictive tool for many clinical classification problems

Por Hess, Kenneth R, Wei, Caimiao, Qi, Yuan, Iwamoto, Takayuki, Symmans, W Fraser, Pusztai, Lajos
Publicado em 2011

Centromere protein-A, an essential centromere protein, is a prognostic marker for relapse in estrogen receptor-positive breast cancer

Por McGovern, Susan L, Qi, Yuan, Pusztai, Lajos, Symmans, William F, Buchholz, Thomas A
Publicado em 2012

Control of dataset bias in combined Affymetrix cohorts of triple negative breast cancer

Por Karn, Thomas, Rody, Achim, Müller, Volkmar, Schmidt, Marcus, Becker, Sven, Holtrich, Uwe, Pusztai, Lajos
Publicado no Genom Data (2014)

Mitochondrial dysfunction in some triple-negative breast cancer cell lines: role of mTOR pathway and therapeutic potential

Por Pelicano, Hélène, Zhang, Wan, Liu, Jinyun, Hammoudi, Naima, Dai, Jiale, Xu, Rui-Hua, Pusztai, Lajos, Huang, Peng
Publicado no Breast Cancer Res (2014)

Statistical measures of transcriptional diversity capture genomic heterogeneity of cancer

Por Jiang, Tingting, Shi, Weiwei, Natowicz, René, Ononye, Sophia N, Wali, Vikram B, Kluger, Yuval, Pusztai, Lajos, Hatzis, Christos
Publicado em 2014

Estrogen Receptor Expression and Docetaxel Efficacy in Patients with Metastatic Breast Cancer: A Pooled Analysis of Four Randomized Trials

Por Andre, Fabrice, Broglio, Kristine, Pusztai, Lajos, Berrada, Narjiss, Mackey, John R., Nabholtz, Jean Marc, Chan, Stephen, Hortobagyi, Gabriel N.
Publicado em 2010

Reproducibility of Variant Calls in Replicate Next Generation Sequencing Experiments

Por Qi, Yuan, Liu, Xiuping, Liu, Chang-gong, Wang, Bailing, Hess, Kenneth R., Symmans, W. Fraser, Shi, Weiwei, Pusztai, Lajos
Publicado no PLoS One (2015)