Skip Navigation

Rameen Beroukhim, MD, PhD


Make an Appointment
Watch Video


  • Physician
  • Associate Professor of Medicine, Harvard Medical School


Clinical Interests

  • Glioma
  • Meningioma
  • Somatic genetics of cancer

Diseases Treated

  • Brain Metastasis
  • Brain Tumors
  • Glioblastoma
  • Low-Grade Glioma
  • Meningioma

Contact Information

  • Appointments617-632-2166
  • Office Phone Number617-632-2166
  • Fax617-632-4773

Board Certification:

  • Internal Medicine
  • Medical Oncology, 2005


  • Dana-Farber/Partners CancerCare, Medical Oncology


  • University of California, San Francisco, Internal Medicine

Medical School:

  • University of California, San Francisco

Recent Awards:

  • V Scholar Award 2009


Cancer Genomics

Our research team focuses on understanding the genetic changes in cancer and how these genetic changes affect cancer behavior.  We have a particular focus on brain cancers, although we study many types of cancer.  All our projects involve collaborations with multiple other groups at the DFCI, Broad Institute, and multiple other institutions.

We have undertaken a variety of genomic approaches to profiling large numbers of cancers, including the use of SNP arrays, expression arrays, and sequencing.  We have also developed several computational approaches to understand these data.

For copy-number changes, which are some of the most frequent somatic genetic events in cancer, we developed an approach (GISTIC, for Genomic Identification of Significant Targets In Cancer) that simultaneously identifies those events that are most likely to drive cancer development and profiles individual specimens for the set of events they have undergone. We have used this approach to identify new oncogenes in several cancer types, including lung, esophageal, and colorectal cancers.  We published an analysis of over 3000 cancer copy-number profiles in 2010, which is one of the most-cited publications in cancer from that year.  This study identified two new amplified oncogenes (MCL1 and BCL2L1) and showed both lineage-specific genetic events and events that were shared across many cancer types.  We have also used this approach to identify prognostic indicators in endometrial cancers and predictors of pathway dependency several cancer types, including glioblastoma and renal cancer.

We have performed integrated genomic analyses across multiple datasets.  For example, we have integrated copy-number data with functional screens to identify novel vulnerabilities associated with genomic losses in cancer.

We have performed high-throughput sequencing analyses of several cancer types. For example, we found mutations in SMO and AKT1 in meningiomas, which may serve as therapeutic targets in these diseases.  We have also found rearrangements of MYBL1 in pediatric low-grade gliomas.


Dana-Farber Cancer Institute
450 Brookline Avenue
Boston, MA 02215
Get Directions