Sijin Wen

The Bimodality Index: A Criterion for Discovering and Ranking Bimodal Signatures from Cancer Gene Expression Profiling Data (2009)

Jing Wang, Sijin Wen, W. Fraser Symmans, Lajos Pusztai, Kevin R. Coombes

Motivation: Identifying genes with bimodal expression patterns from large-scale expression profiling data is an important analytical task. Model-based clustering is popular for this purpose. That...

Selenium and Vitamin E: Cell Type- and Intervention-Specific Tissue Effects in Prostate Cancer (2009)

Tsavachidou, Dimitra, McDonnell, Timothy J., Wen, Sijin, Wang, Xuemei, Vakar-Lopez, Funda, Pisters, Louis L., ...

Background Secondary analyses of two randomized, controlled phase III trials demonstrated that selenium and vitamin E could reduce prostate cancer incidence. To characterize pharmacodynamic and gene...

Adaptive Therapy for Androgen-Independent Prostate Cancer: A Randomized Selection Trial of Four Regimens (2007)

Thall, Peter F., Logothetis, Christopher, Pagliaro, Lance C., Wen, Sijin, Brown, Melissa A., Williams, Dallas, ...

Background Physicians typically switch therapies unless clinically relevant thresholds of response are observed, and treatments that produce high-quality responses and that are active in the salvage...

Correlation between CpG methylation profiles and hormone receptor status in breast cancers (2007)

Feng, Weiwei, Shen, Lanlan, Wen, Sijin, Rosen, Daniel G, Jelinek, Jaroslav, Hu, Xin, ...

Abstract Introduction Aberrant DNA methylation has been found frequently in human breast cancers, associated with the loss of expression of a number of regulatory genes for growth and correlated to...

Merging microarray data, robust feature selection, and predicting prognosis in prostate cancer (2006)

Jing Wang, Kim Anh Do, Sijin Wen, Spyros Tsavachidis, Timothy J. McDonnell, Christopher J. Logothetis, ...

Motivation: Individual microarray studies searching for prognostic biomarkers often have few samples and low statistical power; however, publicly accessible data sets make it possible to combine data...

Merging microarray data, robust feature selection, and predicting prognosis in prostate cancer (2006)

Jing Wang, Kim Anh Do, Sijin Wen, Spyros Tsavachidis, Timothy J. McDonnell, Christopher J. Logothetis, ...

Motivation: Individual microarray studies searching for prognostic biomarkers often have few samples and low statistical power; however, publicly accessible data sets make it possible to combine data...

Featured Article Quantitative Analysis of Biomarkers Defines an Optimal Biological Dose for Recombinant Human Endostatin in Primary Human (2004)

Darren W. Davis, Yu Shen, Nizar A. Mullani, Sijin Wen, Roy S. Herbst, James L. Abbruzzese, ...

Purpose: In a recent study, we presented preliminary evidence for biological activity in a Phase I dose-finding study (15–600 mg/m 2) of recombinant human endostatin in patients with refractory...

CD8 tumor-infiltrating lymphocytes are predictive of survival in muscle-invasive urothelial carcinoma

Sharma, Padmanee, Shen, Yu, Wen, Sijin, Yamada, Sachiko, Jungbluth, Achim A., Gnjatic, Sacha, ...

Tumor-infiltrating cytotoxic T lymphocytes (TILs), including CD8 TILs, have been associated with favorable clinical outcomes in multiple tumor types. Tumor-infiltrating CD8 T cells and major...