@yash_pershad
@DrFlashHeart
@brettheimlich
@LeoLuoMD
@FerrellLabVUMC
@SavonaNashville
@YaominXu1
@yash_pershad
@DrFlashHeart
@brettheimlich
@LeoLuoMD
@FerrellLabVUMC
@SavonaNashville
@YaominXu1
High-risk CHIP patients (≥4 factors):
40% drug efficacy → 544 patients total (80% power)
60% drug efficacy → 200 patients total (80% power)
Compare this to 50,000+ needed for myeloid neoplasm endpoints!
High-risk CHIP patients (≥4 factors):
40% drug efficacy → 544 patients total (80% power)
60% drug efficacy → 200 patients total (80% power)
Compare this to 50,000+ needed for myeloid neoplasm endpoints!
Before our study: Need 50,000+ patients, 10+ years for MN endpoint
After our study: Need 400-1,000 patients, 2-3 years for cytopenia endpoint
Following @dpsteensma's vision of actionable CHIP endpoints!
Before our study: Need 50,000+ patients, 10+ years for MN endpoint
After our study: Need 400-1,000 patients, 2-3 years for cytopenia endpoint
Following @dpsteensma's vision of actionable CHIP endpoints!
Spliceosome genes (SF3B1, SRSF2) → ↑↑ risk (HR=1.93)
TP53 pathway → ↑ risk (HR=1.28)
IDH1/2 mutations → ↑↑ risk (HR=2.24)
Building on @LDWeeks_MD @NEJMEvidence
work on CHIP risk prediction!
Spliceosome genes (SF3B1, SRSF2) → ↑↑ risk (HR=1.93)
TP53 pathway → ↑ risk (HR=1.28)
IDH1/2 mutations → ↑↑ risk (HR=2.24)
Building on @LDWeeks_MD @NEJMEvidence
work on CHIP risk prediction!
Age ≥65 (HR=1.41)
Male sex (HR=1.45)
Smoking (HR=1.17)
≥2 mutations (HR=1.95)
High-risk genes (HR=1.48)
MCV ≥100 fL (HR=2.12)
RDW ≥15% (HR=2.59)
Age ≥65 (HR=1.41)
Male sex (HR=1.45)
Smoking (HR=1.17)
≥2 mutations (HR=1.95)
High-risk genes (HR=1.48)
MCV ≥100 fL (HR=2.12)
RDW ≥15% (HR=2.59)
805,249 participants (All of Us, BioVU, UK Biobank)
9374 CHIP cases + 24749 controls
Follow-up: 2006-2023 (up to 17 years!)
190 myeloid neoplasms, 4,151 cytopenias
The largest longitudinal CHIP study ever conducted!
805,249 participants (All of Us, BioVU, UK Biobank)
9374 CHIP cases + 24749 controls
Follow-up: 2006-2023 (up to 17 years!)
190 myeloid neoplasms, 4,151 cytopenias
The largest longitudinal CHIP study ever conducted!
But designing prevention trials seemed IMPOSSIBLE due to huge sample sizes needed.
But designing prevention trials seemed IMPOSSIBLE due to huge sample sizes needed.