Zhiyuan Hu

Summary

Affiliation: University of North Carolina
Country: USA

Publications

  1. ncbi Classification and risk stratification of invasive breast carcinomas using a real-time quantitative RT-PCR assay
    Laurent Perreard
    The ARUP Institute for Clinical and Experimental Pathology, SLC, Utah, USA
    Breast Cancer Res 8:R23. 2006
  2. ncbi The molecular portraits of breast tumors are conserved across microarray platforms
    Zhiyuan Hu
    Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
    BMC Genomics 7:96. 2006
  3. ncbi A compact VEGF signature associated with distant metastases and poor outcomes
    Zhiyuan Hu
    Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    BMC Med 7:9. 2009
  4. ncbi Estrogen-regulated genes predict survival in hormone receptor-positive breast cancers
    Daniel S Oh
    Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
    J Clin Oncol 24:1656-64. 2006
  5. ncbi Molecular characterization of human breast tumor vascular cells
    Rajendra Bhati
    Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
    Am J Pathol 172:1381-90. 2008
  6. ncbi Quality assurance of RNA expression profiling in clinical laboratories
    Weihua Tang
    Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599 7525, USA
    J Mol Diagn 14:1-11. 2012
  7. ncbi Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors
    Jason I Herschkowitz
    Lineberger Comprehensive Cancer Center
    Genome Biol 8:R76. 2007
  8. ncbi Systematic bias in genomic classification due to contaminating non-neoplastic tissue in breast tumor samples
    Fathi Elloumi
    Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    BMC Med Genomics 4:54. 2011
  9. ncbi Supervised risk predictor of breast cancer based on intrinsic subtypes
    Joel S Parker
    Lineberger Comprehensive Cancer Center, Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
    J Clin Oncol 27:1160-7. 2009
  10. ncbi High reproducibility using sodium hydroxide-stripped long oligonucleotide DNA microarrays
    Zhiyuan Hu
    University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7295, USA
    Biotechniques 38:121-4. 2005

Collaborators

Detail Information

Publications10

  1. ncbi Classification and risk stratification of invasive breast carcinomas using a real-time quantitative RT-PCR assay
    Laurent Perreard
    The ARUP Institute for Clinical and Experimental Pathology, SLC, Utah, USA
    Breast Cancer Res 8:R23. 2006
    ..The proliferation meta-gene offers an objective and quantitative measurement for grade and adds significant prognostic information to the biological subtypes...
  2. ncbi The molecular portraits of breast tumors are conserved across microarray platforms
    Zhiyuan Hu
    Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
    BMC Genomics 7:96. 2006
    ..To overcome this problem we used publicly available breast cancer gene expression data sets and a novel approach to data fusion, in order to validate a new breast tumor intrinsic list...
  3. ncbi A compact VEGF signature associated with distant metastases and poor outcomes
    Zhiyuan Hu
    Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    BMC Med 7:9. 2009
    ..Tumor metastases pose the greatest threat to a patient's survival, and thus, understanding the biology of disseminated cancer cells is critical for developing effective therapies...
  4. ncbi Estrogen-regulated genes predict survival in hormone receptor-positive breast cancers
    Daniel S Oh
    Department of Genetics, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA
    J Clin Oncol 24:1656-64. 2006
    ..CONCLUSION: This study provides new biologic information concerning differences within hormone receptor-positive breast cancers and a means of predicting long-term outcomes in tamoxifen-treated patients...
  5. ncbi Molecular characterization of human breast tumor vascular cells
    Rajendra Bhati
    Department of Surgery, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
    Am J Pathol 172:1381-90. 2008
    ..Therefore, these genetic markers may serve as potential targets for the development of angiogenesis inhibitors...
  6. ncbi Quality assurance of RNA expression profiling in clinical laboratories
    Weihua Tang
    Department of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599 7525, USA
    J Mol Diagn 14:1-11. 2012
    ..Careful attention to the well-honed principles of laboratory medicine, along with guidance from government and professional groups on strategies to preserve RNA and manage large data sets, promotes clinical-grade assay performance...
  7. ncbi Identification of conserved gene expression features between murine mammary carcinoma models and human breast tumors
    Jason I Herschkowitz
    Lineberger Comprehensive Cancer Center
    Genome Biol 8:R76. 2007
    ..To address this need, we characterized mammary tumor gene expression profiles from 13 different murine models using DNA microarrays and compared the resulting data to those from human breast tumors...
  8. ncbi Systematic bias in genomic classification due to contaminating non-neoplastic tissue in breast tumor samples
    Fathi Elloumi
    Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
    BMC Med Genomics 4:54. 2011
    ..This "normal" tissue could represent a source of non-random error or systematic bias in genomic classification...
  9. ncbi Supervised risk predictor of breast cancer based on intrinsic subtypes
    Joel S Parker
    Lineberger Comprehensive Cancer Center, Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
    J Clin Oncol 27:1160-7. 2009
    ..The prognostic properties of the continuous risk score will be of value for the management of node-negative breast cancers. The subtypes and risk score can also be used to assess the likelihood of efficacy from neoadjuvant chemotherapy...
  10. ncbi High reproducibility using sodium hydroxide-stripped long oligonucleotide DNA microarrays
    Zhiyuan Hu
    University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7295, USA
    Biotechniques 38:121-4. 2005
    ..90-0.98, which is comparable to the ICC of two virgin arrays hybridized with the same sample. Using this method, once-stripped oligonucleotide microarrays are usable, reliable, and help to reduce costs...