Basic yet critical information about most cancers and how they spread through the body just isn’t readily available. Today, CancerBase, a grassroots collaboration of patients, scientists, and social media volunteers, will go live with a way to connect patients all around the world to solve this problem, providing critical information to patients. Our goal is to bring together millions of patients anonymously contribute the “what, when, and where” of their cancers, empowering themselves, each other, and scientists to see cancer more clearly.
For an intuitive sign-in experience, patients will be able to connect to CancerBase using Facebook, Twitter or an email Login, after which they will be able to answer questions about their diagnosis for anonymized inclusion on the global cancer map.
Answers for Patients
CancerBase offers a simple and structured framework to begin to address questions that patients have using curated, real-time data from people who have come just before them. Patients are the ultimate holder of information about their disease and thus can create the largest global map of cancer. Today, the first step for most people newly diagnosed with cancer is to turn to the web, friends, and family, which results in inconsistent and sometimes inaccurate information. Already overwhelmed with details, confusing new information, and fear, people don’t know where to turn to learn more about their cancer. In many cases, they cannot find enough others with similar disease.
Real Time Data
Approximately 1.6 million Americans (and 12 million worldwide) are diagnosed with cancer each year. Over half a million people will die from cancer this year alone. Due to the delay in publishing statistics, but we only find out about them 5 years later. With the current pace of research, the delayed data loses its value. Together, we can reduce this number from 5 years to ‘now’. We can make their data count in real time.
Connecting patients and their insights through the power of social media can bring simple factual knowledge about each patient’s disease. Relating paths most similar to their own, patients can gain better insight about their future.