The need-to-know this morning:
- Danish drugmaker Genmab said it would acquire ProfoundBio for $1.8 billion in cash, the latest in a string of deals tied to the booming field of antibody-drug conjugate therapies for cancer.
- Oruka Therapeutics is going public via a reverse merger with ARCA Biopharma. Oruka is developing long-lasting antibodies that target IL-23 and IL-17 for the treatment of chronic skin conditions like psoriasis. Concurrent with the merger, Oruka raised $275 million via a PIPE with a syndicate of health care investment funds.
- Diaganol Therapeutics launched with $128 million in new funding to develop a new class of antibody medicines that activate, rather than block, cell-signaling pathways to treat severe diseases.
artificial intelligence
How AI will be used in biopharma clinical trials
Biopharma companies are increasingly turning to the startups that use artificial intelligence to analyze data from past clinical trials, genomic data banks, and other health records to predict how therapies might work. The calculus here is to help optimize clinical trials — helping select which patients might be more likely to respond to a given therapy, or to even create surrogate trial participants called digital twins.
For example, last year AstraZeneca and Bayer began working with the Toronto-based Altis Labs to test how digital twins might respond in placebo arms of early-stage drug testing. Another startup, Nucleai, uses AI to map out the relationships between cancer cells, healthy cells, and proteins, pits it against old clinical data, and determines which patients might respond to experimental therapies.
"This is really where the industry will go," one investor in this space told STAT. "We look at a future that is more digital, is more computerized, and AI is just another tool to do it better."
Read more.
licensing
What the Roivant news means for its business model
Roivants's eye drug brepocitinib, which it licensed from Pfizer, recently read out in a small study. The company also announced that it will buy back $1.5 billion in stock. These two bits of news make us ask the question: Will the company's approach, which is to license shelved experimental drugs from large firms and further develop them, work?
"Look, I think the truth is, there are pharma companies that, out of fear of looking stupid, don't out license or partner their drugs," Roivant CEO Matt Gline told STAT. "They just stick them in a bin somewhere."
But companies like Pfizer, he said, "take a principled stance that if there's something that could benefit patients, they will want to maximize the footprint." And that's why he believes the Roivant approach could help bigger pharma companies deliver more value to investors.
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cancer
New data on liquid biopsy for colorectal cancer detection still underwhelms
A look at Freenome's data on its colorectal cancer liquid biopsy test suggests that blood-based tests won't be preventing cancer — but rather catching it at later stages.
Freenome's trial showed that their blood-based screen has a 79.2% sensitivity in detecting colorectal cancer across all stages. Broken down, that's a 57.1% sensitivity for detecting cancers at stage 1, 100% sensitivity at stage 2, 82.4% sensitivity at stage 3, and 100% sensitivity at stage 4. The results trail noticeably behind Guardant's blood-based colorectal cancer test, which also showed a low sensitivity for detecting stage 1 cancers at 65% but 100% sensitivity for stages 2 through 4. That suggests that stool-based colorectal cancer screenings and screening colonoscopy will remain the best way to catch cancers at the earliest stages or at precancerous stages.
Like Guardant, Freenome's test appears to only be able to reliably detect problems once patients already have colorectal cancer. The performance for detecting precancerous polyps ranged at a particularly dismal 12.5% to 29% sensitivity, depending on the type of polyp. That means for patients who hope that colorectal cancer screening will help them prevent tumors before they actually form, liquid biopsies as they currently are won't suit their preferences.
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