Tracking of the Mode of Action Landscape in

Breast Cancer using Report and Visualization

Tools

Karen Jendro & Rebecca Ceder

ICIC 2014, Heidelberg, Germany - October 14, 2014

Roche Pharma Research and Early Development, Roche Innovation Center Basel Roche Diagnostics GmbH, Penzberg

The Information Science Group in Penzberg Duties and Responsibilities

Main duty

Performing searches

Patent searches

Literature searches

Sequence searches

Business searches

Enduser-Support for search tools

Consultancy

Information workflow

Database development

Evaluation of new

sources and tools

Support with text mining approaches

= Karen‘s Job

The Data Science Group in Basel Duties and Responsibilities

Main Activities

Searching/Analyzing

Imaging

Literature

NGS data Competitor Information

Networks and Pathways

Support

Data Integration

Target identification/assessment

Evaluation of new

sources and tools

Text-mining

= Rebecca‘s job

Competitor Information @Roche Competitor Information: Our Definition

Competitor Information (CI) comprises secondary market research

and pipeline data sources (=published public domain information)

that are utilized to generate competitor landscapes (=overviews),

to enhance the analysis of Roche’s activities, and thus to facilitate

fact-based decision making regarding our drug pipeline portfolio.

CI is an important part of the whole Competitive Intelligence

process at Roche

Competitor Information @Roche Background

Competitor Information @Roche Background

The Goal

We want to create a visualization of the competitor information landscape that displays

changes in the Mode of Action over time

normalize

visualize

analyze changes

Major Questions to Address

1. How can we normalize the Mode of Action across different databases/information

sources?

2. How can we visualize the Mode of Action Landscape in one figure to provide an

overview?

3. How can we analyze and visualize the changes in the Mode of Action Landscape

in a decision-making figure?

Import of the Breast Cancer Competitor

Information Landscape into BizInt Smart

Charts • The competitor information landscape from CIAP for Breast Cancer contains

4478 records from 3 different databases

We want to normalize the “Mode of Action”

Normalization of the “Mode of Action” – Using VantagePoint-Smart Charts Edition Display of the “Mode of Action” Normalization of the “Mode of Actions

using the Vantage-Point “Clean up”

Function

This process is partly automated,

still requires manual “clean-up”

Normalization of the Mode of Action – - Using the Roche Terminology Service

272 records in total

This process is fully automated

A bubble chart

can be produced

to overview the

normalized

Mode of Action

Landscape

Using Vantage

Point-SCE

Visualization of the Mode of Action Landscape - An Overview

Bubble Chart, Data from June

2014

Bubble Chart, Data

from August 2014 Differences

/Changes are hard to

identify!

Visualization of the Mode of Action Landscape -How Can We Determine the Changes?

Step 1: Data generation

- BizInt Reference Rows

• Essential: to have a function

which compares the Modes of

Action of each Substance, found

in the Pipeline Databases =>

Usage of „Compare Columns“ in

Reference Rows

• Important: to get the additional

as well as the vanished MoAs

MoAs Substance

1

MoAs Substance

2

Step 2: Further processing in Visualization

Tool

• Import to Vantage Point-SCE

• Selection of data to be visualized

• Usage of Scipt for creation of

bubble chart

Step 3: Result = Integrated Bubble Chart

• Colors indicating increase,

decrease, no change and

both directions

• Numbers indicating the

count of Substances and

arrows the direction of

change

Complementary Examples where Data

Comparison

Approaches Can Play a Key Role

• Tracking of geographical distribution of clinical trials

over time

- by comparing Countries by Trial Phase

• Visualization of the shift towards new Indications for

Drug classes, Drugs

- by comparing Indications by Trial Phase

• Change of Licensing availabilities for Drugs in

certain indications

- by comparing the Countries a license is available

in

• Identification of new modes of action a company is

working on

- by comparing MoAs by Trial Phase

• And a lot of more ....

Summary And Take Home Messages

• Most important: you need to have the appropriate

thesaurus to clean up your data to get the most

value out of it

• The key to success was the “compare column”

function in BizInt Reference Rows combined with

the newly added Script for creating the “integrated

bubble chart”

• Not to forget: having fun with developing new ways

to deal with data together with brilliant heads inside

and outside of Roche!

Acknowledgements In alphabetical order • Dr Markus Bundschus (Roche)

• Matt Eberle (BizInt)

• Dr Barbara Endler-Jobst (Roche)

• Dr Werner Klaus (Roche)

• Dr Pascal Kuner (Roche)

• Dr Martin Romacker (Roche)

• Diane Webb (BizInt)

• John Willmore (BizInt)

• VantagePoint Smart Charts Edition

Doing now what patients need next