Foundation Medicine, Inc.

Michael Pellini

Matthew J Hawryluk

Gary Palmer

Vincent A Miller

Mary Patricia Lancelotta

Philip James Stephens

Alexander Nevin Parker

Helena Futscher De Deus

Eric Karl Neumann

Rachel Lauren Erbach

Ronald David Collette

Mary Pat Lancelotta

Provided are systems and methods for capturing outcome information associated with various cancer treatments. The system facilitates capture and analysis of cancer treatment information and associated outcome information. The treatment and outcome information can include genomic analysis and information on treatment of different cancers. The system can store and analyze any one or more of: tumor type, genomic alterations (e.g., genes and associated alterations, gene sequence mutations, alterations, amplifications, deletions, etc.), and treatment data (including, for example, treatments targeted to specific genes and/or genomic alterations). Users of the outcome system can supply and use the treatment and outcome information to facilitate diagnosis and therapy decisions. User interfaces within the system can be configured to allow users to easily locate outcome information associated with particular treatments of tumors having certain genomic alterations.

System and method for outcome tracking and analysis

A system for tracking and analyzing cancer treatment and outcome information includes a user interface (UI) component for allowing selection of an alteration, an affected gene, an affected pathway, a tumor type, and/or a treatment; a processor configured to receive treatment information and outcome information associated with a patient population; organize the treatment information and the outcome information into at least one tuple; and generate outcome summary information; and an analysis component configured to compare a current patient record for a current patient to existing treatment information for the patient population, identify similar patients in the patient population based on information in the current patient record, and filter a grouping of similar patients; the processor is further configured to display, on the UI component, the outcome summary information; enable navigation within the treatment and outcome information; and identify, based on the outcome information, an appropriate treatment for the current patient.

Various embodiments provide interfaces to access genomic testing information and incorporate it into daily physician practice. According to one aspect, a graph-based data model is used that may be used to organizes and revise precision medicine knowledge. In one example structure, gene states are abstracted into alteration groups, where alteration groups are built using reverse engineering actionable information and storing that information within the graph-based data structure. Volumes of genomic alterations and associated information (e.g., journal articles, clinical trial information, therapies, etc.) are analyzed and synthesized into actionable information items viewable on an alteration system in a graph-based data format. According to one embodiment, the system can be configured to focus practitioners on discrete portions of the alteration information on which they can act. According to other aspects, curated information is provided on the system to enable practitioners to make informed decisions regarding the implications of the presence of specific genomic alterations.

System and method for managing genomic information

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Dana Point, CA, United States of America

Michael Pellini