Reference: Vlachogiannis G, Hedayat S, Vatsiou A, et al. Patient derived organoids model treatment response of metastatic gastrointestinal cancers. Science. 2018;359(6378):920-926.

#Organoids #ipsc #precisionmedicine #drugdevelopment

The value here is that instead of relying only on genomics, physicians could use PDOs to see how a patient’s tumor behaves in real time and choose the most suitable treatment.

Imagine this when it is automated.

Using a library of 55 oncology drugs, PDOs showed clear genotype–drug response associations. When tests on organoids predicted a drug would work, they were correct 88 percent of the time (PPV=88%), and when the predictions were negative, they were correct 100 percent of the time (NPV=100%).

Using a library of 55 oncology drugs, PDOs showed clear genotype–drug response associations. When tests on organoids predicted a drug would work, they were correct 88 percent of the time (PPV=88%), and when the predictions were negative, they were correct 100 percent of the time (NPV=100%).

The explanation is in my article:
ascarreira.com/cro-lead-gen...

- Not every sequence can be targeted.
- Wet-lab work is extremely outdated.
- PCR feels like a gift from an alien society with advanced technology compared to other techniques we still use (e.g., Western blot).

Cheers to all the peers advancing the gene editing field ❤️

Since the OTOF mutation that causes deafness now seems closer than ever to being curable, I can’t help but wonder what implications this will have for deaf culture.