Christos Hatzis, PhD
Associate Professor Adjunct; Director, Bioinformatics, Breast Medical Oncology at Yale Cancer Center
Research & Publications
Biography
News
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.
Speciailized Terms: Personalized medicine; Molecular diagnostics; Cancer heterogeneity; Next generation sequencing; Diagnostic study design
Extensive Research Description
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.
Coauthors
Research Interests
Breast Neoplasms; Medical Oncology; Genetic Heterogeneity; Molecular Diagnostic Techniques
Selected Publications
- Characterization of DNA variants in the human kinome in breast cancer.Agarwal D, Qi Y, Jiang T, Liu X, Shi W, Wali VB, Turk B, Ross JS, Fraser Symmans W, Pusztai L, Hatzis C. Characterization of DNA variants in the human kinome in breast cancer. Scientific Reports 2015, 5: 14736 PubMed ID: 26420498, PMCID: PMC4588561, DOI: 10.1038/srep14736.
- Genomic predictor of residual risk of recurrence after adjuvant chemotherapy and endocrine therapy in high risk estrogen receptor-positive breast cancers.Khan SS, Karn T, Symmans WF, Rody A, Müller V, Holtrich U, Becker S, Pusztai L, Hatzis C. Genomic predictor of residual risk of recurrence after adjuvant chemotherapy and endocrine therapy in high risk estrogen receptor-positive breast cancers. Breast Cancer Research And Treatment 2015, 149: 789-97 PubMed ID: 25651779, DOI: 10.1007/s10549-015-3277-7.
- Statistical measures of transcriptional diversity capture genomic heterogeneity of cancer.Jiang T, Shi W, Natowicz R, Ononye SN, Wali VB, Kluger Y, Pusztai L, Hatzis C. Statistical measures of transcriptional diversity capture genomic heterogeneity of cancer. BMC Genomics 2014, 15: 876 PubMed ID: 25294321, PMCID: PMC4197225, DOI: 10.1186/1471-2164-15-876.
- Enhancing reproducibility in cancer drug screening: how do we move forward?Hatzis C, Bedard PL, Birkbak NJ, Beck AH, Aerts HJ, Stem DF, Shi L, Clarke R, Quackenbush J, Haibe-Kains B. Enhancing reproducibility in cancer drug screening: how do we move forward? Cancer Research 2014, 74: 4016-23 PubMed ID: 25015668, PMCID: PMC4119520, DOI: 10.1158/0008-5472.CAN-14-0725.
- Common contaminants in next-generation sequencing that hinder discovery of low-abundance microbes.Laurence M, Hatzis C, Brash DE. Common contaminants in next-generation sequencing that hinder discovery of low-abundance microbes. PloS One 2014, 9: e97876 PubMed ID: 24837716, PMCID: PMC4023998, DOI: 10.1371/journal.pone.0097876.
- A genomic predictor of response and survival following taxane-anthracycline chemotherapy for invasive breast cancer.Hatzis C, Pusztai L, Valero V, Booser DJ, Esserman L, Lluch A, Vidaurre T, Holmes F, Souchon E, Wang H, Martin M, Cotrina J, Gomez H, Hubbard R, Chacón JI, Ferrer-Lozano J, Dyer R, Buxton M, Gong Y, Wu Y, Ibrahim N, Andreopoulou E, Ueno NT, Hunt K, Yang W, Nazario A, DeMichele A, O'Shaughnessy J, Hortobagyi GN, Symmans WF. A genomic predictor of response and survival following taxane-anthracycline chemotherapy for invasive breast cancer. JAMA 2011, 305: 1873-81 PubMed ID: 21558518, PMCID: PMC5638042, DOI: 10.1001/jama.2011.593.
- Effects of tissue handling on RNA integrity and microarray measurements from resected breast cancers.Hatzis C, Sun H, Yao H, Hubbard RE, Meric-Bernstam F, Babiera GV, Wu Y, Pusztai L, Symmans WF. Effects of tissue handling on RNA integrity and microarray measurements from resected breast cancers. Journal Of The National Cancer Institute 2011, 103: 1871-83 PubMed ID: 22034635, PMCID: PMC3243675, DOI: 10.1093/jnci/djr438.
- Genomic index of sensitivity to endocrine therapy for breast cancer.Symmans WF, Hatzis C, Sotiriou C, Andre F, Peintinger F, Regitnig P, Daxenbichler G, Desmedt C, Domont J, Marth C, Delaloge S, Bauernhofer T, Valero V, Booser DJ, Hortobagyi GN, Pusztai L. Genomic index of sensitivity to endocrine therapy for breast cancer. Journal Of Clinical Oncology : Official Journal Of The American Society Of Clinical Oncology 2010, 28: 4111-9 PubMed ID: 20697068, PMCID: PMC2953969, DOI: 10.1200/JCO.2010.28.4273.
- The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models.Shi L, Campbell G, Jones WD, Campagne F, Wen Z, Walker SJ, Su Z, Chu TM, Goodsaid FM, Pusztai L, Shaughnessy JD, Oberthuer A, Thomas RS, Paules RS, Fielden M, Barlogie B, Chen W, Du P, Fischer M, Furlanello C, Gallas BD, Ge X, Megherbi DB, Symmans WF, Wang MD, Zhang J, Bitter H, Brors B, Bushel PR, Bylesjo M, Chen M, Cheng J, Cheng J, Chou J, Davison TS, Delorenzi M, Deng Y, Devanarayan V, Dix DJ, Dopazo J, Dorff KC, Elloumi F, Fan J, Fan S, Fan X, Fang H, Gonzaludo N, Hess KR, Hong H, Huan J, Irizarry RA, Judson R, Juraeva D, Lababidi S, Lambert CG, Li L, Li Y, Li Z, Lin SM, Liu G, Lobenhofer EK, Luo J, Luo W, McCall MN, Nikolsky Y, Pennello GA, Perkins RG, Philip R, Popovici V, Price ND, Qian F, Scherer A, Shi T, Shi W, Sung J, Thierry-Mieg D, Thierry-Mieg J, Thodima V, Trygg J, Vishnuvajjala L, Wang SJ, Wu J, Wu Y, Xie Q, Yousef WA, Zhang L, Zhang X, Zhong S, Zhou Y, Zhu S, Arasappan D, Bao W, Lucas AB, Berthold F, Brennan RJ, Buness A, Catalano JG, Chang C, Chen R, Cheng Y, Cui J, Czika W, Demichelis F, Deng X, Dosymbekov D, Eils R, Feng Y, Fostel J, Fulmer-Smentek S, Fuscoe JC, Gatto L, Ge W, Goldstein DR, Guo L, Halbert DN, Han J, Harris SC, Hatzis C, Herman D, Huang J, Jensen RV, Jiang R, Johnson CD, Jurman G, Kahlert Y, Khuder SA, Kohl M, Li J, Li L, Li M, Li QZ, Li S, Li Z, Liu J, Liu Y, Liu Z, Meng L, Madera M, Martinez-Murillo F, Medina I, Meehan J, Miclaus K, Moffitt RA, Montaner D, Mukherjee P, Mulligan GJ, Neville P, Nikolskaya T, Ning B, Page GP, Parker J, Parry RM, Peng X, Peterson RL, Phan JH, Quanz B, Ren Y, Riccadonna S, Roter AH, Samuelson FW, Schumacher MM, Shambaugh JD, Shi Q, Shippy R, Si S, Smalter A, Sotiriou C, Soukup M, Staedtler F, Steiner G, Stokes TH, Sun Q, Tan PY, Tang R, Tezak Z, Thorn B, Tsyganova M, Turpaz Y, Vega SC, Visintainer R, von Frese J, Wang C, Wang E, Wang J, Wang W, Westermann F, Willey JC, Woods M, Wu S, Xiao N, Xu J, Xu L, Yang L, Zeng X, Zhang J, Zhang L, Zhang M, Zhao C, Puri RK, Scherf U, Tong W, Wolfinger RD. The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nature Biotechnology 2010, 28: 827-38 PubMed ID: 20676074, PMCID: PMC3315840, DOI: 10.1038/nbt.1665.
- Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy.Symmans WF, Peintinger F, Hatzis C, Rajan R, Kuerer H, Valero V, Assad L, Poniecka A, Hennessy B, Green M, Buzdar AU, Singletary SE, Hortobagyi GN, Pusztai L. Measurement of residual breast cancer burden to predict survival after neoadjuvant chemotherapy. Journal Of Clinical Oncology : Official Journal Of The American Society Of Clinical Oncology 2007, 25: 4414-22 PubMed ID: 17785706, DOI: 10.1200/JCO.2007.10.6823.
- Large-scale identification of novel transcripts in the human genome.Peters BA, St Croix B, Sjöblom T, Cummins JM, Silliman N, Ptak J, Saha S, Kinzler KW, Hatzis C, Velculescu VE. Large-scale identification of novel transcripts in the human genome. Genome Research 2007, 17: 287-92 PubMed ID: 17267814, PMCID: PMC1800919, DOI: 10.1101/gr.5486607.