Andrea Arfe, PhD

Assistant Attending Biostatistician

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Andrea Arfe

Education

Bocconi University; Milan, Italy

Current Research Interest

Dr. Arfè’s research interests include statistical decision theory, Bayesian analysis, and reinforcement learning. Dr. Arfè collaborates with investigators in the Genito-Urinary Oncology Service and with members of the MSK Biomarker Development Program to study new blood-based biomarkers in metastatic Castrate-Resistant Prostate Cancer (mCRPC) based on circulating tumor cells. He is also collaborating with investigators in the MSK Department of Radiation Oncology to design a clinical trial of post-operative brachytherapy for early-stage endometrial cancer patients. In his current methodological research, Dr. Arfè aims to develop new adaptive group-sequential clinical trial designs that leverage data from completed studies by means of machine learning methods. In support to his research program, he has been selected to receive Developmental Funds from the Cancer Center Support Grant.

Publications

Selected peer-reviewed publications:

  1. Arfè A, Silverman LB, Bourgeois F. Master Protocols and Adaptive Trial Designs to Develop Tumor-Agnostic Drugs for Children: Essential Tools in the Era of the Research to Accelerate Cures and Equity Act. JAMA Oncol. 2021 Sep 1;7(9):1281-1282. doi: 10.1001/jamaoncol.2021.1508. PMID: 34110376.
  2. Arfè A, Alexander B, Trippa L. Optimality of testing procedures for survival data in the nonproportional hazards setting. Biometrics. 2021 Jun;77(2):587-598. doi: 10.1111/biom.13315. Epub 2020 Jun 24. PMID: 32535892.
  3. Arfè A, Fell G, Alexander B, Awad M, Rodig S, Trippa L, Schoenfeld J. Meta-analysis of Programmed Death Factor Ligand 1 expression as a predictive biomarker using individual data on 7,918 randomized study patients. JCO Precision Oncology 2020; 4:1196-1206.
  4. Spring LM*, Fell G*, Arfè A* (*co-primary authors), Sharma C, Greenup R, Reynolds KL, Smith BL, Alexander B,  Moy B, Isakoff SJ, Parmigiani G, Trippa L, Bardia A. Pathological complete response after neoadjuvant chemotherapy and impact on breast cancer recurrence and survival: a comprehensive meta-analysis. Clinical Cancer Research 2020; doi: 10.1158/1078-0432.CCR-19-3492.
  5. Arfè A, Ventz S, Trippa L. Shared and usable data from phase I oncology trials: an unmet need. JAMA Oncology 2020; 6:980-981.