BioGridTM and Cart-WheelTM

Tools for rare cancer data analytics

PRIYANKA PILLAI718784

E-HEALTH AND BIOMEDICAL INFORMATICSBIOMEDICAL INFORMATICS TECHNOLOGY EVALUATION

BIOMEDICAL INFORMATICS BIG DATA

We are living in an era “where data never sleeps”. Every day the internet

generates exabytes of data from a population of over 3 Billion people.

The rapid growth in technology has brought in a new surge of health care

data from Hospitals, Researchers, Health Records, Laboratories, etc.

The volume of Biomedical data is growing exponentially. Novel health

technologies enable accurate and efficient data analytics.

Integrating data from different biomedical sources enables clinicians to

design holistic healthcare solutions for patients.

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Priyanka Pillai 718784 Biomedical informatics technology evaluation

Image Source http://ihealthtech.blogspot.com/2016/04/hospital-management-system-using-big.html

Image Source http://www.socialmediatoday.com/content/big-data-and-healthcare-pr-volume-value

HEALTH DATA IN AUSTRALIA3

Priyanka Pillai 718784 Biomedical informatics technology evaluation

According to Commonwealth Australia report of 2013, 90% of the data available then was created over last

two years. The estimated volume of data being generated is 2.5 quintillion bytes in a day.

The 2013 Report also suggests that by 2020, the production of data would be 40 times greater.

Data mining would enable optimum use of the large volume of health data available to us. This means

efficient storing, searching, capturing, analyzing and sharing of data.

The potential of big data derived from health care is still being explored in Australia through trials,

investigations and targeting fundamental healthcare questions.

This is a systematic review of a health care tool in Australia that uses extensive data mining and analytics.

CHALLENGES OF RARE DISEASES DATA 4

Priyanka Pillai 718784 Biomedical informatics technology evaluation

Around 8% of Australian population lives with one out of the 10,000 known rare diseases. This figure is

alarmingly similar to the occurrence of a common disease like asthma.

People affected with rare diseases face challenges like not being able to find timely health service, delay

in diagnosis and lack of available treatments.

Timely care and appropriate referrals by GPs play a crucial role in helping patients and their families. GPs

are facing a challenge in terms of increasing number of complex and chronic rare diseases.

Easy access to relevant and accurate information about rare diseases would enable GPs and clinicians to

make early diagnosis and implement care plans.

RARE CANCER STATISTICS5

Priyanka Pillai 718784 Biomedical informatics technology evaluation

Image Source Cancer: Number of diagnosed in Australia. Photo: Fairfax Graphics

A rare cancer has an incidence rate of less than 6 per year in a population

of 100,000. A less common cancer has an incidence rate of between 6-12.

Approximately, 42,000 people in Australia are diagnosed every year with a

type of rare or less common cancer.

Cancer Australia supports and funds various organizations at a national

level that conducts cancer clinical trials as well as mutation-specific clinical

trials that are common to several types of tumors.

Rare Cancers Australia aims to improve the treatment of Australians

affected with rare and less common cancers.

BIOGRIDTM6

Priyanka Pillai 718784 Biomedical informatics technology evaluation

BIOGRIDTM Australia is a data integration portal that enables patient information to be utilized for research. This

is done in a privacy protected manner with data curated from various sources.

The types of data that are curated include clinical, histopathological, genomic, image and treatment based. The

data is extracted from medical research institutes, universities and over 20 health services.

BIOGRIDTM implements techniques for researchers and clinicians to effectively make optimum use of available

health data without compromising on security and privacy.

The vision of BIOGRIDTM is to create an integrated research portal that would help identify biomarkers,

exchange data across bio-specimens, conducts trials, etc. BIOGRIDTM eventually aims to broaden the horizons

regarding the causes and treatment of various diseases.

HOW DOES BIOGRIDTM WORK?7

Priyanka Pillai 718784 Biomedical informatics technology evaluation

Image Source http://www.biogrid.org.au/page/11/how-does-biogrid-australia-work

CARTWHEELTM8

Priyanka Pillai 718784 Biomedical informatics technology evaluation

CART-WHEELTM is a rare cancer database that stores and distributes data curated from people who submit

information about the rare tumor they are affected with.

CART-WHEELTM has a website that contains a user-friendly questionnaire that patients can fill out and

answer questions regarding the tumor-type, treatment received and family history.

CART-WHEELTM facilitates research in rare cancers by collecting information and partnering with

organizations directly involved in making case studies available for researchers.

The term CART-WHEELTM stands for Collect information, Analyze the information, Research new

discoveries and Treat more effectively.

SAMPLE DATA FROM CART-WHEELTM9

Priyanka Pillai 718784 Biomedical informatics technology evaluation

Source http://cartwheel.blob.core.windows.net/assets/uploads/files/CART-WHEEL_Sample_Summary.pdf

SAMPLE DATA FROM CART-WHEELTM10

Priyanka Pillai 718784 Biomedical informatics technology evaluation

Source http://cartwheel.blob.core.windows.net/assets/uploads/files/CART-WHEEL_Sample_Summary.pdf

BIOGRIDTM AND CART-WHEELTM CASE STUDY11

Priyanka Pillai 718784 Biomedical informatics technology evaluation

Small cell-ovarian cancer (SCCO) is a rare and highly aggressive type of ovarian cancer.

A researcher aiming to study a specific type of rare tumor (like SCCO) applies to BIOGRIDTM Australia

and provides a research question. The team of scientists and clinicians at BIOGRIDTM would then

assess the request and grant access to information collected through registries.

CART-WHEELTM along with a collaboration with Translational Genomics Research Institute and Van

Andel Research Institute are hoping to study genetic/molecular pathways and use this information to

effectively design treatment plans for women with SCCO.

IN A NUTSHELL…12

Clinicians and Researchers effectively design diagnosis and

care plans

Data from healthcare

providers, patient portals and clinical

trials

BioGridTMCartWheelTM

Biomedical informatics

Priyanka Pillai 718784 Biomedical informatics technology evaluation

REFERENCES13

Priyanka Pillai 718784 Biomedical informatics technology evaluation

• Merriel, R. B., Gibbs, P., O'Brien, T. J., & Hibbert, M. (2011). BioGrid Australia facilitates collaborative medical and bioinformatics research across hospitals and

medical research institutes by linking data from diverse disease and data types. Human Mutation, 32(5), 517-525. doi:10.1002/humu.21437

• Luo, J., Wu, M., Gopukumar, D., & Zhao, Y. (2016). Big Data Application in Biomedical Research and Health Care: A Literature Review. Biomedical Informatics

Insights, 81-10. doi:10.4137/BII.S31559

• Elliott, E. J., Zurynski, Y. A., Elliott, E., & Zurynski, Y. (2015). Rare diseases are a 'common' problem for clinicians. Australian Family Physician, 44(9), 630-633 4p.

• Hermon, R., & Williams, P. A. (2014). Big data in healthcare: What is it used for?.

• http://www.cart-wheel.org/

• https://canceraustralia.gov.au/about-us/news/rare-and-less-common-cancers

• https://www.rarecancers.org.au

• http://www.smh.com.au/national/health/rare-cancers-australia-report-survival-rates-fall-behind-for-patients-with-rare-cancers-20140316-34vk1.html