Prognostication

I have been given a diagnosis of uterine cancer and I am distraught. Doctors say that people like me have a 50% chance of being alive in 3 years’ time. What does that mean for me though?

Regular Process

The outcome of cancer treatment can vary greatly, especially with uterine cancer. Doctors usually arrive at a prognosis dependent upon how far the cancer has spread or how aggressive it appears under the microscope. However, they are unable to offer a reliable, tailored prognosis for each patient that takes age, general health and medication in consideration. 4D Path is developing a prognostic test that takes into account the appearance of the tumor as well as the individual background for each patient.  This way, patients receive a personalized prognosis.  While this will help in getting a more accurate picture of each patient’s outlook, doctors will also be able to use this information to modify their treatment accordingly, i.e. increasing treatments if prognosis is poor, or avoiding over-treatment with toxic drugs if prognosis is correct.

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    Stage (spread) of the cancer
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    Aggressiveness of the cancer
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    Prognosis by few factors

4D Path Process

4D Path is developing a prognostic test that takes into account the appearance of the tumor as well as the individual background for each patient. In this way, individual patients can be offered a personalized prognosis. Whilst this will help in getting a more accurate picture of each patient’s outlook, doctors will also be able to use this information to modify their treatment accordingly, stepping it up if this is poor, and avoiding over-treatment with toxic drugs if this is fair.

Automated
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    Analysis of the tumor appearance
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    Individual background
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    Personalized prognosis
One of the leading concerns expressed by patients following a cancer diagnosis relates to their prognosis. This is commonly predicted based on tumor type, stage, grade and the treatment received. This approach is typically based on retrospective information drawn from groups of patients with similar cancers, such that patients fail to receive a bespoke prognosis, which also accounts for their clinical and demographic features such as age, general health and medication. 4D Path is developing prognostic algorithms, which fuse tumor characteristics with broader clinico-demographic data so as to offer patients a personalized prognosis. While this will enable patients to understand the wider implications of their diagnosis, their care team will also be able to use this information to consider the potential benefits or drawbacks of any given treatment plan, thereby minimizing the potential for over or under-treatment.