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Christos Hatzis Ph.D.

Assistant Professor of Medicine (Medical Oncology); Director, Bioinformatics, Breast Medical Oncology at Yale Cancer Center

Research Interests

Personalized medicine; Molecular diagnostics; Cancer heterogeneity; Next generation sequencing; Diagnostic study design

Current Projects

Characterization of molecular and genetic heterogeneity in breast cancer and its association with treatment response or resistance.

Evaluation of high-throughput drug screens for triple negative breast cancer and assocation of sensitivity to genetic background.

Translation of microarray based prognostic tests to next generation platforms.


Research Summary

Dr. Hatzis continues to be involved in the design of biomarker validation clinical studies and development of strategies for translating genomic diagnostic assays to clinical practice. His current research interests focus on developing methods to characterize the genetic and molecular heterogeneity of breast cancer subtypes and the implications it might have on response and resistance to treatment. A key area of interest is to develop methodology that integrates genomic level information of individual patients to lead to more focused treatment decisions tailored for the individual tumor.


Selected Publications

  • Hatzis C, Pusztai L, Valero V et al. (2011). "A genomic predictor of response and survival following taxane-anthracycline chemotherapy for invasive breast cancer." Journal of the American Medical Association 305(18): 1873-1881.
  • Hatzis C, Sun H, Yao H et al. (2011). "Effects of tissue handling on RNA integrity and microarray measurements from resected breast cancers." J Natl Cancer Inst 103(24): 1871-1883.
  • Symmans WF, Hatzis C, Sotiriou C et al. (2010). "Genomic index of sensitivity to endocrine therapy for breast cancer." J Clin Oncol 28(27): 4111-4119
  • Shi L, Campbell G, Jones WD et al. (2010). "The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models." Nat Biotechnol 28(8): 827-838.
  • Symmans WF, Peintinger F, Hatzis C et al. (2007). "Measurement of Residual Breast Cancer Burden to Predict Survival After Neoadjuvant Chemotherapy." J Clin Oncol 25:4414-4422.
  • Peters BA, St Croix B, Sjoblom T et al. (2007). "Large-scale identification of novel transcripts in the human genome." Genome Res 17(3): 287-292.

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