Additional/Other Research

Assessing if a treatment is working
Aim: To find out if measuring the levels of PSA and genetic material (DNA) from the tumour found in the blood after starting treatment can give us information about how well patients in Comparison P do in the long term.
Understanding why treatments stop working
Aim: To use signals in the blood, such as genetic material (DNA), to help us understand why treatment stops working.

How tumour genetics can affect outcomes
Aim: To look at whether the genetic makeup of the tumour can predict how well patients do on treatment.
Examining genetic changes in the tumour
Aim: To analyse genetic changes in tumours and see if these can tell us about how well patients will do on treatment.

Classifying tumours using artificial intelligence (AI)
Aim: To see if we can use AI to group tumour samples according to specific characteristics and use this to predict how well patients do on treatment.
Using imaging to categorise the extent of cancer spread
Aim: To use X-ray or MRI imaging to categorise patients according to how far the cancer has spread, and to confirm if this is associated with how well patients do in the long term.
Using imaging to assess side effects from treatment
Aim: To use X-ray or MRI imaging to assess treatment side effects affecting bone and muscle.

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