I-PREDICT flipped the basket idea: instead of one drug for one mutation, a tumour board built a personal combination for each patient covering as many of their tumour's changes as possible. People whose treatment matched more of their alterations lived longer without progression.
I-PREDICT was run from the UC San Diego Moores Cancer Center by Razelle Kurzrock and Jason Sicklick with a partner site at Avera Cancer Institute, opening in 2015. Patients with lethal, treatment-refractory cancers had tissue sequencing, circulating tumour DNA testing, PD-L1 and tumour mutational burden measured; a molecular tumour board then proposed a regimen, most often a combination of targeted drugs, immunotherapy and, where needed, chemotherapy, aimed at the largest possible share of each tumour's alterations. The study measured a matching score, the fraction of the tumour's characterised alterations addressed by the regimen.
The main report, in Nature Medicine in 2019, found that customised combinations were feasible in about half of the profiled patients, that toxicity was manageable with dose adjustment, and that patients with a matching score above 50 percent had higher disease control and longer progression-free and overall survival than those with lower scores. That association between degree of matching and outcome, rather than any single drug's result, was the study's contribution.
I-PREDICT influenced how molecular tumour boards think, shifting from one actionable alteration to the whole profile, and prompted follow-on studies of the same approach in newly diagnosed lethal cancers. Its limits are those of any single-arm study: patients with more alterations covered may also have had different biology, and only a randomised trial such as CUPISCO or ROME can show that matching itself causes the benefit.
Numbers are from the trial as recorded here; see the source links in the table below. This is orientation, not medical advice: ask your team how closely the trial population matches you.
Multivariable hazard ratio 0.34 (95% CI 0.19-0.62), p = 0.0004, favouring the high matching score group as reported
Source| Endpoint | Arm | n | Value | HR (95% CI) | p | Source |
|---|---|---|---|---|---|---|
| Consented patients who received molecularly matched personalised treatmentprimary | Consented patients | - | 49% | - | - | link |
| Disease control (stable disease 6 months or longer, or response) by matching score | Matching score above 50% | 28 | 50% | - | 0.028 | link |
| Matching score 50% or below | 55 | 22.4% | ||||
| Progression-free survival by matching score | Matching score above 50% | 28 | 6.5 months | 0.34 (0.19 to 0.62) | 0.001 | link |
| Matching score 50% or below | 55 | 3.1 months |
Shares Razelle Kurzrock, Cancer variant knowledgebases and molecular tumour boards, UC San Diego Moores Cancer Center, Foundation Medicine (Roche).
Shares Razelle Kurzrock, Master protocol (platform, basket and umbrella trials), Rare cancers, Basket, umbrella, and platform trials.
Shares Master protocol (platform, basket and umbrella trials), Rare cancers, Basket, umbrella, and platform trials, Trial design, endpoints and cost.
Shares Foundation Medicine (Roche), Circulating tumour DNA (ctDNA), Comprehensive genomic profiling, Liquid biopsy (ctDNA).
Shares Master protocol (platform, basket and umbrella trials), Rare cancers, Basket, umbrella, and platform trials, Comprehensive genomic profiling.
Shares Cancer variant knowledgebases and molecular tumour boards, Master protocol (platform, basket and umbrella trials), Circulating tumour DNA (ctDNA), Comprehensive genomic profiling.
Shares Basket, umbrella, and platform trials, Trial design, endpoints and cost, Comprehensive genomic profiling, Liquid biopsy (ctDNA).
Shares Circulating tumour DNA (ctDNA), Comprehensive genomic profiling, Liquid biopsy (ctDNA).