Clinical trial · Observational
Individualized Molecular Profiling for Allocation to Clinical Trials (IMPACT) Project
NCT02806388CI-TRIAL-00111310IMPACTrecruitingClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This study aims to screen tumor molecular profile for better selection of anticancer treatment, in particular, allocation to clinical trials if available.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Solid Tumor | Solid Neoplasm | CURATED_BROADER | 0.80 |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (1)
- label
- tumor tissue for molecular profiling
Primary outcomes (1)
- measure
- The molecular and clinical epidemiology for cancer patients being considered for novel therapeutics
- timeFrame
- 5 years
Secondary outcomes (2)
- measure
- The proportion of patients who have actionable alterations and enrol into clinical trials
- timeFrame
- 5 years
- measure
- The correlation of molecular profiles with clinical outcomes
- timeFrame
- 5 years
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 12 Years
Show eligibility criteria text
Inclusion Criteria: * Confirmed histological diagnosis of solid tumor * Suitable for systematic treatment and clinical trials * ECOG (Eastern cooperative oncology group) performance status \< 2 * Able to provide tumor tissue for molecular profiling * Able to understand and sign the informed consent form Exclusion Criteria: * None
References
Publications (1)
- DERIVEDChia S, Low JL, Zhang X, Kwang XL, Chong FT, Sharma A, Bertrand D, Toh SY, Leong HS, Thangavelu MT, Hwang JSG, Lim KH, Skanthakumar T, Tan HK, Su Y, Hui Choo S, Hentze H, Tan IBH, Lezhava A, Tan P, Tan DSW, Periyasamy G, Koh JLY, Gopalakrishna Iyer N, DasGupta R. Phenotype-driven precision oncology as a guide for clinical decisions one patient at a time. Nat Commun. 2017 Sep 5;8(1):435. doi: 10.1038/s41467-017-00451-5. PMID 28874669