BackgroundCheck.run
Search For

Lejla P Pilipovic, 53Somerville, MA

Lejla Pilipovic Phones & Addresses

Somerville, MA   

Allston, MA   

Arlington, MA   

Medford, MA   

Malden, MA   

Andover, MA   

Mentions for Lejla P Pilipovic

Lejla Pilipovic resumes & CV records

Resumes

Lejla Pilipovic Photo 13

Scientist, Oncology

Location:
Greater Boston Area
Industry:
Pharmaceuticals
Lejla Pilipovic Photo 14

Lejla Pilipovic

Publications & IP owners

Us Patents

Identification Of Multigene Biomarkers

US Patent:
2013016, Jun 27, 2013
Filed:
Nov 5, 2012
Appl. No.:
13/669275
Inventors:
AVEO PHARMACEUTICALS, INC. - Cambridge MA, US
Bin Feng - North Reading MA, US
Richard Nicoletti - Southborough MA, US
Joshua P. Frederick - Boston MA, US
Lejla Pilipovic - Somerville MA, US
Assignee:
AVEO PHARMACEUTICALS, INC. - Cambridge MA
International Classification:
C40B 30/04
C40B 40/06
US Classification:
506 9, 506 16, 702 19
Abstract:
Methods for identifying multigene biomarkers for predicting sensitivity or resistance to an anti-cancer drug of interest, or multigene cancer prognostic biomarkers are disclosed. The disclosed methods are based on the classification of the mammalian genome into 51 transcription clusters, i.e., non-overlapping, functionally relevant groups of genes whose intra-group transcript levels are highly correlated. Also disclosed are specific multigene biomarkers for predicting sensitivity or resistance to tivozanib, or rapamycin, and a specific multigene biomarker for determining breast cancer prognosis, all of which were identified using the methods disclosed herein.

Identification Of Multigene Biomarkers

US Patent:
2013016, Jun 27, 2013
Filed:
Feb 25, 2013
Appl. No.:
13/775928
Inventors:
AVEO Pharmaceuticals, Inc. - Cambridge MA, US
Bin Feng - Newton MA, US
Richard Nicoletti - Southborough MA, US
Joshua P. Frederick - Boston MA, US
Lejla Pilipovic - Somerville MA, US
Assignee:
AVEO Pharmaceuticals, Inc. - Cambridge MA
International Classification:
C12Q 1/68
US Classification:
506 9, 435 612, 702 19
Abstract:
Methods for identifying multigene biomarkers for predicting sensitivity or resistance to an anti-cancer drug of interest, or multigene cancer prognostic biomarkers are disclosed. The disclosed methods are based on the classification of the mammalian genome into 51 transcription clusters, i.e., non-overlapping, functionally relevant groups of genes whose intra-group transcript levels are highly correlated. Also disclosed are specific multigene biomarkers for predicting sensitivity or resistance to tivozanib, or rapamycin, and a specific multigene biomarker for determining breast cancer prognosis, all of which were identified using the methods disclosed herein.

NOTICE: You may not use BackgroundCheck or the information it provides to make decisions about employment, credit, housing or any other purpose that would require Fair Credit Reporting Act (FCRA) compliance. BackgroundCheck is not a Consumer Reporting Agency (CRA) as defined by the FCRA and does not provide consumer reports.