Bioinformatics Grid (BIG): AJCC: UICC: TNM Staging
The mission of the eye cancer bioinformatics grid is to provide an infrastructure for sharing data, results and research. It is time for us to evolve out of our current system of independent, randomly acting eye cancer centers. The "best doctor" is the one who realizes multicenter cooperation is the best way to promote progress.
Dr. Finger says, "there is power in numbers!" It is time for eye cancer to join the worldwide oncology community. Let's join together to do what we cannot do alone.
This is the first multicenter, international cooperative program focused on improving eye cancer research, diagnosis and patient care. Bio-informatics offers the chance for eye cancer specialists to work together, pool their resources and figure out which diagnostic techniques and therapeutic interventions are best for
our patients.
Our first step was to create a unified, standard method of describing each tumor (TNM). The AJCC-UICC Ophthalmic Oncology Task Force has spent 8-years working on this Ocular Oncology Language. It is being adopted by most of the major ophthalmic journals as a requirement for publication. It serves as a foundation for multicenter comparative studies.
Dr. Finger says, "there is power in numbers!" It is time for eye cancer to join the worldwide oncology community. Let's join together to do what we cannot do alone.
This is the first multicenter, international cooperative program focused on improving eye cancer research, diagnosis and patient care. Bio-informatics offers the chance for eye cancer specialists to work together, pool their resources and figure out which diagnostic techniques and therapeutic interventions are best for
our patients.
Our first step was to create a unified, standard method of describing each tumor (TNM). The AJCC-UICC Ophthalmic Oncology Task Force has spent 8-years working on this Ocular Oncology Language. It is being adopted by most of the major ophthalmic journals as a requirement for publication. It serves as a foundation for multicenter comparative studies.
About BIG
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EyeCancerBIG will allow our research community to focus its attention on innovation, diagnosis and treatment. It will enable multicenter, international cooperation for research and patient care.
However, this must be a community effort. "We must be the change you want to see in the world"- Ghandi. Why duplicate what is being done well by others? This is both expensive and wasteful. Working together, each doctor can bring their particular expertise to a cooperative effort in the best interest of each patient. |
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Eye Cancer BIG Provides
Cooperative Research Provides
This is why Eye Cancer BIG is so important
Eye cancers are rare diseases. Therefore, we need to be able to pool our experiences (data) in order to determine the best methods to diagnose, treat and follow our patients for metastatic disease and local recurrence.
To Get Started
caBIG Principles
Open Access: Our bioinformatics grid should be open to the entire participating community, enabling access tools, data and infrastructure for our community.
Open Development: Any software development projects assigned to any participant will incorporate opportunities for our community for periodic review for group participation in its development.
Open Source: Like caBIG, any software developed by eyecaBig must be open source. This means it will promote the use of existing code, optimize research dollars spent and promote participation of both software and hardware industries.
Network: We will form a network of eye cancer centers for the purpose of sharing computing and data resources. Though we may share tools and data, each center maintains their absolute right to control their data and research specimens.
- A set of commonly defined and shared data elements and standards. A common "eye cancer" language will allow us to share (add) our data together, creating larger, more significant studies. Done: SEE The AJCC-UICC Task Force.
- An interoperable infrastructure within which researchers collaborate. Using software/EMRs that are the same, or can communicate with each other's systems, "open source," will allow for data exchange.
- Analytical tools for information related to cancer research and care. Open source, shared software tools and information will save both time and money.
Cooperative Research Provides
- Integrated information (pooled data) from a wide range of sources. Instead of our current standard of reporting small, single center case series; we will be able to pool our experience to find statistically significant trends.
- Better information for eye cancer physicians and their patients. We will be able to collect the numbers of patient experiences required to find biomarkers for metastatic disease, to catch ineffective treatments before too many patients are treated and demonstrate how new and better treatments are working.
- Improved decision making and standards of care. The ability to examine how thousands of eye cancer patients were diagnosed, evaluated for metastatic disease and treated will allow us sufficient numbers to evaluate and create new methods of diagnosis and treatment.
This is why Eye Cancer BIG is so important
Eye cancers are rare diseases. Therefore, we need to be able to pool our experiences (data) in order to determine the best methods to diagnose, treat and follow our patients for metastatic disease and local recurrence.
To Get Started
- We agreed to the modified caBIG Principles (see below).
- We have started to divide and conquer by organizing into working groups. Each of us has decided what we can bring to this effort.
- We have defined our interim goals, realizing this will always be a work in progress.
- We are reaching out to the ophthalmic oncology community to help shape and create this project.
- This is a legacy project. We will start the process, but it will continually be required to grow to keep up with our evolving medical field.
caBIG Principles
Open Access: Our bioinformatics grid should be open to the entire participating community, enabling access tools, data and infrastructure for our community.
Open Development: Any software development projects assigned to any participant will incorporate opportunities for our community for periodic review for group participation in its development.
Open Source: Like caBIG, any software developed by eyecaBig must be open source. This means it will promote the use of existing code, optimize research dollars spent and promote participation of both software and hardware industries.
Network: We will form a network of eye cancer centers for the purpose of sharing computing and data resources. Though we may share tools and data, each center maintains their absolute right to control their data and research specimens.
