Not in San Diego – In normal times of past years, the AACR annual meeting generally takes place once a year in April before we haed onto oter events such as ASGCT, ASCO, and EHA. In these abnormal times in the middle of the COVID–19 pandemic, however, the virtual event was split into two, with the first online event in April covering mainly early clinical data, and now we get to learn from the meaty scientific presentations, which are being highlighted this week.
A network of mutations, tumour suppresses, metabolic and immune processes, as well as other hidden factors can unexpectedly impact therapy outcomes in NSCLC
We have a lot of translational researchers reading BSB, so I wanted to kick off the first of the AACR Virtual Meeting series with a scientific focus, which is likely of interest to many for a number of obvious reasons.
The good news is this a topic we have covered before and so there’s already a body of work to build on for reference since this latest round of information not only adds to what we know, but also highlights some additional unknown unknowns yet to be elucidated.
The dichotomy is an essential part of the very essence and fun of science – the more we think we know, the less we really know in practice, especially as the various layers of the onion get gradually peeled off over time.
This latest review mixes up translational research with clinical research…
To learn more from our in-depth oncology analysis and get a heads up on insights and commentary emerging from the second AACR virtual meeting, subscribers can log-in or you can click to gain access to BSB Premium Content.
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…
To learn more and get a heads up on our latest oncology insights and conference analysis, subscribers can log-in or you can click to gain access to BSB Premium Content.