Trial identifies five-drug combo for ‘ultra high risk’ bone marrow cancer

Date:
13 December 2021

A combination of five existing drugs keeps cancer at bay for longer in patients with a highly aggressive type of bone marrow cancer, a major new trial reveals.

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Pictured: Myeloma of sphenoid sinus credit: wellcome images

The five-drug cocktail, along with a stem cell transplant, allowed people with ultra-high risk multiple myeloma to live longer before their disease progressed than those who received standard care.    

The ‘MUK Nine OPTIMUM’ trial used a highly innovative methodology to open up the first personalised treatment approach for people with the highest risk forms of myeloma – for a group of patients whose outcomes from treatment are poor.

It is also the latest study to demonstrate the benefit of combining drugs with different mechanisms of action to combat cancer’s ability to evolve and become resistant to treatment.

A team at The Institute of Cancer Research, London, and the Clinical Trials Research Unit at the University of Leeds adopted a new high-speed trial methodology – testing the five-drug combination against the findings of an earlier study, rather than against a control group, to get the results more quickly.

Their findings were presented at the American Society of Hematology Annual Meeting (ASH). 

All five drugs in the combination – bortezomib, lenalidomide, daratumumab, dexamethasone and cyclophosphamide chemotherapy – are individually licensed and in clinical use. That means the combination has the potential to receive streamlined approval and become available to patients relatively quickly.               

Certain genetic changes can make myeloma – a type of bone marrow cancer – more aggressive, less responsive to treatment and more likely to relapse more quickly. So-called ultra-high-risk patients have particularly unfavourable genetic signatures and previous studies have suggested they are at very high risk of their disease relapsing within the first two years from diagnosis. In contrast, the majority of other patients now stay in remission for five years or longer.

Currently, there is no tailored treatment approach for these high-risk patients, and their outcomes remain poor.

The OPTIMUM trial involved 107 patients with ultra-high-risk myeloma recruited between 2017 and 2019. The results presented today compare survival outcomes from OPTIMUM patients, who received the new five-drug combination, with survival outcomes from patients in the Myeloma XI (MyXI) trial, who received carfilzomib, lenalidomide, cyclophosphamide and dexamethasone.

Patients from the OPTIMUM trial were more likely than MyXI patients to live for longer, during and after treatment, before seeing their disease progress and symptoms worsen. At 18 months, 82 per cent of OPTIMUM patients had stable disease unlikely to progress in the immediate future, compared with 67 per cent of MyXI patients.

The new findings represent a significant advance for patients with high-risk myeloma and highlight the need to tailor therapy to the genetic make-up of each patient’s cancer, which is currently not done routinely.         

The study is an independent academic trial, but received funding from the pharmaceutical companies that manufacture the drugs tested, Janssen and Bristol Myers Squibb, as well as support from the David Forbes-Nixon Foundation via Myeloma UK and from the NIHR Biomedical Research Centre at The Royal Marsden NHS Foundation Trust and the ICR.

OPTIMUM is the first ‘digital comparator’ trial for multiple myeloma. Digital comparator trials do not use a traditional control arm, and instead model comparators using data collected from other sources – in this case, another trial known as MyXI.

This new digital comparator trial provides a new framework to fast-track comparative evidence, helping scientists obtain answers faster for patients with high unmet clinical need.

OPTIMUM is therefore a successful proof of principle study, supporting the use of digital comparator arm trials for clinical development. Researchers now hope regulatory and health technology assessment bodies such as MHRA and NICE will consider and review the data so that this new framework can be used more widely.

Study leader Dr Martin Kaiser, Team Leader in Myeloma Molecular Therapy at The Institute of Cancer Research, London, and Consultant Haematologist at The Royal Marsden NHS Foundation Trust, said:

“We know that people with myeloma with ‘ultra high risk’ genetic signatures have particularly aggressive cancers that fail to respond to standard treatment. In this study, we have identified a new five-drug combination that can keep cancer at bay for longer in these patients. Our study shows the benefit of genetic testing in patients with myeloma to identify those at highest risk, since we now have a new and better treatment option for these people.

“All these drugs are already individually licensed and available so we know they are safe, and that means the new combination could potentially be made available for patients quickly. I hope the NHS will consider our data as soon as possible.”

Professor Kristian Helin, Chief Executive of The Institute of Cancer Research, London, said:

“Until now, patients with the highest risk forms of myeloma have had no tailored treatment options, even though we know that they are likely to relapse on existing therapies. This study represents a big step forward, moving on from one size fits all to a more personalised approach, as we see routinely now in other cancers.

“This exciting trial is also a first of its kind – using sophisticated statistical analysis to compare results with those from an earlier study rather than a control group. The new trial methodology saves us time, lowers trial costs, and has the potential to get much-needed new therapies to the clinic faster.”

Dr Sarah Brown, Director of Early Phase Clinical Trials at the Clinical Trials Research Unit, University of Leeds, said:

“We are really excited to see the positive results of this trial, and to be able to demonstrate how application of novel statistical methods can result in efficient trial design, conduct and dissemination. The study and the methodology used really has the potential to impact research widely.”