Alexia Iasonos, PhD

Assistant Attending Biostatistician
Pictured: Alexia Iasonos
Office Phone:
646-735-8115
Education:
University of Albany

Current Research Interests

Alexia Iasonos is focused on the design and analysis of clinical trials, primarily dose-finding phase I trials that are model based, as well as predictive modeling in surgical outcomes. Her methodological research is focused on evaluating Bayesian adaptive phase I designs, specifically the Continual Reassessment Method (CRM). She has compared CRM with the standard 3+3 dose-escalation scheme [Abstract] as part of a two-year award from Memorial Sloan-Kettering’s Experimental Therapeutic Center to study dose-finding algorithms. She has lead a team of programmers and data managers in order to create the infrastructure (software and a web interface) to facilitate clinical personnel in obtaining the dose allocation seamlessly, so that CRM can be implemented in future Memorial Sloan-Kettering trials.

Her clinical collaborations focus on ovarian cancer. Her work with the Gynecological Oncology Group varies from exploring biomarkers to predicting survival outcomes. Most recently she has been involved in projects including:

  • Evaluation of clinical endpoints in ovarian patients in second remission or greater: this analysis includes data from four phase II trials or vaccines given for consolidation or maintenance therapy.
  • Assessment  of CA-125 levels as a predictor of progression-free survival and overall survival in ovarian cancer patients with surgically defined disease status at the end of primary therapy
  • Collaborations with the Pathology Service looking at various immunohistochemical markers in epithelial and ovarian cancer and assessing relationships to histology, distant metastases, and outcome

Alexia has previously worked with QoL outcomes as part of collaboration with Health Outcomes (HOR) in which the group analyzed patient-reported outcomes and compared these with clinician symptom reporting using the National Cancer Institute common terminology criteria for adverse events. She has also worked with the urology group in developing predictive models and nomograms that can be used preoperatively to enable a more informed clinical decision-making process.

She continues to serve as the statistical reviewer for the Phase I-II Data and Safety Monitoring Committee and the primary statistician for the Developmental Therapeutic Center and Quality Control Initiative at Memorial Sloan-Kettering. She is currently serving as a scientific reviewer on the ASCO program committee and on Susan G. Komen for the Cure Foundation.

Publications by Alexia Iasonos

Selected Publications

Iasonos A, Sabbatini P, Spriggs DR, Aghajanian CA, O'Cearbhaill RE, Hensley ML, Thaler HT. Identifying Clinical Improvement in Consolidation Single-arm Phase II Trials in Ovarian Cancer Patients in Second or Greater Clinical. International Journal of Gynecological Cancer 2011 Nov 11. [Epub ahead of print]. [PubMed Abstract]

Iasonos A, Zohar S, O'Quigley J. Incorporating lower grade toxicity information into dose finding designs. Clin Trials. 2011;8(4):370-9. [PubMed Abstract]

Iasonos A., Ostrovnaya I. Estimating the dose-toxicity curve in completed phase I studies. Statistics in Medicine 2011 Jul 30;30(17):2117-29. [PubMed Abstract]

Iasonos A, Wilton AS, Riedel ER, Seshan VE, Spriggs DR. A comprehensive comparison of the continual reassessment method to the standard 3 + 3 dose escalation scheme in Phase I dose-finding studies. Clin Trials. 2008;5(5):465-77. [PubMed Abstract]

Iasonos A, Schrag D, Raj GV, Panageas KS. How to build and interpret a nomogram for cancer prognosis. J Clin Oncol. 2008 Mar 10;26(8):1364-70. Review. [PubMed Abstract]