In wave 3 of the immuno-oncology surge things have slowed down, partly due to a raft of combination trials yet to read out and partly because the reality has finally hit that tumour heterogeneity means there will be variable patient responses.
Just getting from room to room on time can be a real challenge with 40,000 other people present!
This complexity can come about in many forms… immunosuppression, alterations in gene functions, resistance and immune escape, to name a few.
If we want to help more people respond to these therapies then before we can rush headlong into another round of combination trials, we first have to go back to looking carefully at the underlying biology of the diseases and listen to what the patient’s tumours are telling us in order to fix things.
To accomplish this feat requires considerable time, energy, effort, and a lot of bioinformatics.
In this post we explore five key talks that highlight different aspects of biomarkers of response and mechanisms of resistance. From there, we may see additional validation and prospective testing to determine how best to segment people so that they have the greatest chance of responding to the therapy administered.
One thing that most people don’t have these days is time, which is how we can help you because here’s a handy short cut to finding out more about five complex and diverse areas on biomarkers or IO resistance quickly and easily…
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Following the success of anti-CTLA4 and PD(L)1 therapies over the last five years or so, there is much time and attention being focused on addressing a key question, namely – what’s the next viable checkpoint target?
There are quite a few possibilities emerging, although to be fair, some of them will no doubt go by the wayside over the next year or two. There has already been quite a bit of attrition since 2015/16. Figuring out which ones will be a target versus being a useful marker is also an important aspect of new product development.
Competition is a fine thing – as long as they’re going in the direction you want to go.
For most of our ASCO coverage over the last few years we have tended to include a variety of approaches in the pre-conference Preview series that can run from a tumour type, a up and coming modality, an emerging target, and various other ways of looking at or making sense of the sea of data.
Here, we take a look at an IO target that is receiving much interest and explore what we know and where this might be headed… and ask whether the early promise is living up to the billing in practice?
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