Franziska Michor

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Cancer represents one of the biggest problems for modern societies. In 2010, there were 1.53 million new cancer cases and 570,000 cancer-related deaths in the US, leading to an overall cost of $264 billion. By 2020, cancer deaths worldwide could reach 10 million. Therefore, an important goal of life science research is to improve tumor diagnostics and anti-cancer treatment options to alleviate cancer-related morbidity and mortality. We are interested in using the tools of theoretical evolutionary biology, applied mathematics, statistics, and computational biology to address important questions in cancer research.



Franziska Michor studied molecular biology and mathematics at the University of Vienna, Austria, and medical biotechnology at the UniversitĂ  degli Studi di Trieste, Italy. She received her PhD from Harvard's Department of Organismic and Evolutionary Biology in 2005. Afterwards, she was a Junior Fellow in the Harvard Society of Fellows and worked at the Dana-Farber Cancer Institute in Boston. From 2007 to 2010, she was assistant professor at the Memorial Sloan-Kettering Cancer Center in New York City. In 2010, she moved to the Dana-Farber Cancer Institute and Harvard School of Public Health. Her lab investigates the evolutionary dynamics of cancer.


Recent Publications

Chakrabarti S, Michor F. Pharmacokinetics and drug-interactions determine
optimum combination strategies in computational models of cancer evolution.
Cancer Res. 2017 May 31.


Mishima Y, Paiva B, Shi J, Park J, Manier S, Takagi S, Massoud M, Perilla-Glen
A, Aljawai Y, Huynh D, Roccaro AM, Sacco A, Capelletti M, Detappe A, Alignani D,
Anderson KC, Munshi NC, Prosper F, Lohr JG, Ha G, Freeman SS, Van Allen EM,
Adalsteinsson VA, Michor F, San Miguel JF, Ghobrial IM. The Mutational Landscape of Circulating Tumor Cells in Multiple Myeloma. Cell Rep. 2017 Apr


Temko D, Cheng YK, Polyak K, Michor F. Mathematical Modeling Links
Pregnancy-Associated Changes and Breast Cancer Risk. Cancer Res. 2017 Jun


McDonald TO, Michor F. SIApopr: A computational method to simulate
evolutionary branching trees for analysis of tumor clonal evolution.
Bioinformatics. 2017 Mar 16.


Riester M, Wu HJ, Zehir A, Gönen M, Moreira AL, Downey RJ, Michor F. Distance
in cancer gene expression from stem cells predicts patient survival. PLoS One.
2017 Mar 23;12(3):e0173589.


Han L, Wu HJ, Zhu H, Kim KY, Marjani SL, Riester M, Euskirchen G, Zi X, Yang
J, Han J, Snyder M, Park IH, Irizarry R, Weissman SM, Michor F, Fan R, Pan X.
Bisulfite-independent analysis of CpG island methylation enables genome-scale
stratification of single cells. Nucleic Acids Res. 2017 Jun 2;45(10):e77.


Campbell PT, Rebbeck TR, Nishihara R, Beck AH, Begg CB, Bogdanov AA, Cao Y,
Coleman HG, Freeman GJ, Heng YJ, Huttenhower C, Irizarry RA, Kip NS, Michor F, Nevo D, Peters U, Phipps AI, Poole EM, Qian ZR, Quackenbush J, Robins H, Rogan PK, Slattery ML, Smith-Warner SA, Song M, VanderWeele TJ, Xia D, Zabor EC, Zhang X, Wang M, Ogino S. Proceedings of the third international molecular pathological epidemiology (MPE) meeting. Cancer Causes Control. 2017 Feb;28(2):167-176.


Gibson CJ, Lindsley RC, Tchekmedyian V, Mar BG, Shi J, Jaiswal S, Bosworth A,
Francisco L, He J, Bansal A, Morgan EA, Lacasce AS, Freedman AS, Fisher DC,
Jacobsen E, Armand P, Alyea EP, Koreth J, Ho V, Soiffer RJ, Antin JH, Ritz J,
Nikiforow S, Forman SJ, Michor F, Neuberg D, Bhatia R, Bhatia S, Ebert BL. Clonal
Hematopoiesis Associated With Adverse Outcomes After Autologous Stem-Cell
Transplantation for Lymphoma. J Clin Oncol. 2017 May 10;35(14):1598-1605.


Liu LL, Brumbaugh J, Bar-Nur O, Smith Z, Stadtfeld M, Meissner A, Hochedlinger
K, Michor F. Probabilistic Modeling of Reprogramming to Induced Pluripotent Stem Cells. Cell Rep. 2016 Dec 20;17(12):3395-3406.


Wu HJ, Michor F. A computational strategy to adjust for copy number in tumor
Hi-C data. Bioinformatics. 2016 Dec 15;32(24):3695-3701.



Related Links

Michor Lab Website