The SYMPLIFY trial enrolled over 6,000 patients in England and Wales who were already suspected of having cancer. They were referred to a hospital and investigated in the normal way, but in addition to typical investigations also had a blood test known as Galleri, developed by US company Grail.
Galleri is a leading MCED test based on earlier trials.
The following high-level findings were presented in Chicago and have since been published in a peer reviewed paper. When the test said a person had cancer, they truly did have cancer 76% of the time. When it said they did not have cancer, this was true 98% of the time. Overall accuracy was 66%.
However, accuracy varied a great deal depending on how advanced the cancer was and where it was in the body. While accuracy was 95% for late-stage cancers, it fell to below 25% for cancers at their earliest stages. These results are consistent with earlier trials of this technology and highlight a key limitation of MCED tests in their current form.
These tests would have greatest utility if they could detect cancers at earlier stages than otherwise detectable with current technology. Successfully detecting a late-stage cancer therefore offers, only minimal benefits, because treatment options and survival probabilities are more limited for these patients no matter how their cancer is found. More significant benefits would occur if a patient with vague symptoms (or no symptoms) could have cancer detected at early stages before it has progressed so far. Clearly these results suggest success identifying early-stage cancers presents a larger challenge – one the technology currently often fails to meet.
However, the data so far does suggest a real possibility of significantly improving early-stage diagnosis rates of many cancers for which there is currently no screening programme.
If the test proved sufficiently effective it might find a role as a screening tool, possibly alongside existing screening methods, or as a common blood test when patients present with vague symptoms, like pain or fatigue, which might be due to cancer but whose cause is usually more benign. It’s worth pointing out that the headline accuracy figures reported above would lower significantly if the test was to be adopted in these roles.
We have seen the test is better at finding more advanced cancers, and the accuracy levels above are a product of the SYMPLIFY trial focusing on people already strongly suspected of having cancer, for example because they presented with a worrying symptom. This trial design allowed people with cancer to come to light relatively quickly, which accelerates the trial.
However, this is not a point in the patient’s care pathway where clinicians expect MCEDs to be at their most effective. If used as a screening tool in the general population, the great majority of patients would have no cancer, and those who did have cancer would tend on average towards having earlier-stage disease, which this MCED is less good at detecting. This doesn’t preclude its use, but needs to be considered by policymakers.