In #JPM2023 news, $GH Guardant Health also presented on Monday, and here are some highlights of their presentation, which is available on their website. They value the cancer screening market at $100B, which is the first time I see the estimate breaking the three-digit-B mark.
One of their slides is entirely focussed on convincing the remaining doubters that power of epigenomics can be unlocked with Liquid Biopsy assays. I saw more people mentioning this in their social media as of late, but it's great to see such detail in $GH Guardant Health slides.
In this slide they show how the technology that Guardant calls 'Smart Liquid Biopsy' will also be applied to MRD apart from their screening assays.
Details on ECLIPSE: 20,000-patient registrational screening study for Colorectal cancer (including adenomas).
ECLIPSE overall sensitivity of 83% with a 90% Specificity, and advanced adenoma sensitivity at 13%.
Emphasizing the numbers of unscreened individuals, and the fact that blood-based screening has 90% adherence compared to $EXAS Exact Sciences Cologuard (poo in a bucket) 65% adherence, and 42% for colonoscopy.
Combining ECLIPSE performance with the adherence numbers, they come up with the "Effective Sensitivity" numbers so they can show better numbers than $EXAS Cologuard. I haven't seen the numbers combined in this way in the past, but maybe someone can assure me that this is common.
The work continues, and Lung cancer is the next in line for the screening assays, with a Multi-cancer early detection (MCED) assay in development. An MCED assay is what @GrailBio (currently part of $ILMN Illumina) is offering with Galleri, although with little reimbursement RN.
Their MCED projections show screening at 3-year intervals, which is longer than I would have thought is expected for CRC or Lung once we show they are useful. MCED planned for annual screening interval.
They aim at $5B from Shield in 2032, with 10M annual test potential in CRC alone.
Some milestones. Including "Upgrade to Smart Liquid Biopsy" platform. Are there any more details of what it means in technology terms? Epigenomic profiling? NGS details?
On library prep at #Nanoporeconf, a description for PCR-free methods showing the difference between ligation (max output) and rapid mode (10minutes, minimal lab equipment needed). Ultralong reads (ULR) also enabled, all Kit14.
Rapid ULR. Current record is about 4 megabases.
PCR expansion kits enable the use of samples with low input amount.
I did a deep dive on the different workflow management (WFM) tools for #Bioinformatics Data Analysis a few years ago, and since then there have been a few extra entrants in this segment, still mostly concentrated in serving the Next-Generation Sequencing field.
A few years ago, there were two communities dominating the open-source WFM ecosystem in NextFlow and SnakeMake, and two platforms dominating the the commercial offerings in DNAnexus and Illumina BaseSpace.
Since then, a company out of the founders of Nextflow has started offering enterprise support for Nextflow workflows in the cloud: Seqera Labs. They offer the extra level of support that some organizations require to run Nextflow on their Data Analysis setups.
More interesting Next-Generation Sequencing knowledge in the ASeq Discord channel (by @new299). Illumina patterned flowcells and the etching process to "print" the wells into the flowcell. Could be down to 350nm diameter for some flowcell configurations now.
If I remember correctly, Illumina started with a 600nm diameter for the patterned flowcell, in the HiSeq X and then later on in the evolution of the platform that used these patterned flowcells.
They then said to have gone down to 500nm, and what you are showing seems to indicate that it's at 350nm now, at least for the NextSeq 2000? I am not sure if they claimed that for NovaSeq X?
There have been some acquisitions in #CancerDiagnostics and #CancerScreening recently, some of which signify a trend towards consolidation that is worth describing:
$A Agilent is moving towards some more vertical integration in Cancer Dx and Cancer screening
by recently acquiring both announcing a partnership with Akoya Bio and announcing the acquisition of Avida Biomed.
Some may ask: isn’t $A Agilent too small to go into this field? Would they be able to compete against $ILMN Illumina/GrailBio or $GH Guardant Health or $EXAS Exact Sciences?
It is likely that as Spatial Biology tools become more robust and user-friendly, they will become increasingly popular and widely adopted in the scientific community.
This may lead to a shift in the balance between single-cell and Spatial Biology approaches, with the latter eventually becoming more prevalent.
Additionally, as more and more datasets are generated using Spatial Biology techniques, the field of Machine Learning and Artificial Intelligence will likely play an increasingly important role in analysing and interpreting this data.