| Literature DB >> 26011384 |
R Tyler Hillman1, Kristy Ward2, Cheryl Saenz3, Michael McHale4, Steven Plaxe5.
Abstract
OBJECTIVE: This study was designed to evaluate the ability of commercial molecular tumor profiling to discover actionable mutations and to identify barriers that might prevent patient access to personalized therapies.Entities:
Keywords: genetics; molecular biology; next generation sequencing; targeted therapies; tumor markers
Year: 2015 PMID: 26011384 PMCID: PMC4493494 DOI: 10.3390/jpm5020165
Source DB: PubMed Journal: J Pers Med ISSN: 2075-4426
Summary of molecular profiling results by tumor type. The primary results of molecular profiling performed on samples from the 26 patients in this series are summarized in this table.
| Serous Ovarian, Fallopian Tube, and Primary Peritoneal (N = 12) | Endometrial Adenocarcinoma (N = 3) | Uterine Leiomyosarcoma (N = 4) | Other (N = 7) | Overall (N = 26) | |
|---|---|---|---|---|---|
| Median Age at Diagnosis (years) | 58 | 64 | 50 | 43 | 55 |
| Median Time From Diagnosis to Performance of Tumor Profiling (months) | 47.5 | 15.0 | 65.0 | 37.0 | 42.0 |
| Median Cytotoxic Chemotherapies Received Prior to Collection of Sample for Tumor Profiling | 3 | 1 | 4 | 1 | 2 |
| % of Profile Samples Taken From Primary Tumor ( | 41.6% (5/12) | 66.6% (2/3) | 25% (1/4) | 42.8% (3/7) | 42.3% (11/26) |
| Median # of Genetic Alterations Identified per Tumor Profile [range] | 3 [1 to 6] | 10 [8 to 11] | 2 [2 to 3] | 3 [1 to 5] | 3 [1 to 11] |
| Median # of Potential Targeted Therapies Identified per Tumor Profile [range] | 1 [0 to 6] | 3 [1 to 6] | 1 [0 to 4] | 1 [0 to 2] | 1 [0 to 6] |
| % of Tumor Profiles Identifying No Potential Targeted Therapy | 25.0% (3/12) | 0.0% (0/3) | 50.0% (2/4) | 28.5% (2/7) | 26.9% (7/26) |
| Median # of Clinical Trials Identified per Tumor Profile [range] | 6 [2 to 13] | 8 [6 to 12] | 2 [0 to 4] | 4 [0 to 9] | 4 [0 to 13] |
Figure 1Number and type of genetic alterations identified by tumor profiling. Six genes were mutated in multiple patient samples across the four most common tumor types in this series. Each box represents one patient sample. Mutation types include missense (red), splice site (green), nonsense (dark blue), frame shift (orange), amplification (yellow), and gene loss (light blue).
Figure A1Progression-free survival of patients who had personalized therapy declined by insurance as compared to all other patients who underwent FoundationOne testing. Kaplan-Meier plot of progression-free survival in months for patients who applied for insurance reimbursement for personalized therapy based on FoundationOne result and had reimbursement declined (red line) as compared to all other patients who underwent FoundationOne testing (blue line). Progression-free survival was not significantly different between these groups (p = 0.334, Log Rank comparison). Cross-hatch lines represent data censored by the end of study period or when patient lost to follow up.