| Literature DB >> 32949172 |
Sandy S Bohan1, Jason K Sicklick2,3,4, Shumei Kato3,4, Ryosuke Okamura3,4, Vincent A Miller5, Brian Leyland-Jones6, Scott M Lippman3,4, Razelle Kurzrock3,4.
Abstract
BACKGROUND: Precision oncology uses molecular profiling of tumors to identify biomarker-tailored therapies for patients in the hope of improving outcomes. Typically, only a minority of patients receives evaluable matched treatment. This study explored the reasons for attrition on a precision medicine trial.Entities:
Mesh:
Year: 2020 PMID: 32949172 PMCID: PMC7648352 DOI: 10.1002/onco.13532
Source DB: PubMed Journal: Oncologist ISSN: 1083-7159
The I‐PREDICT trial: characteristics of consented patients (University of California, San Diego site)
| Parameter | Evaluable | Not evaluable | Group difference, | Univariable (not evaluable vs. evaluable), OR, 95% CI, | Multivariable (not evaluable vs. evaluable), OR, 95% CI, | Awaiting treatment |
|---|---|---|---|---|---|---|
| Consented, | 99 (52%) | 83 (44%) | 8 (4%) | |||
| Age, years | .51 | |||||
| Median = 62 (range: 21–93) | 62 (21–93) | 63 (27–93) | 59 (41–82) | |||
| <62, | 50 (53%) | 39 (42%) | reference | 5 (5%) | ||
| ≥62, | 49 (51%) | 44 (46%) | 1.2, 0.6–2.1, .64 | 3 (3%) | ||
| Gender |
| |||||
| Female, | 64 (57%) | 41 (37%) | reference | reference | 7 (6%) | |
| Male, | 35 (45%) | 42 (54%) | 1.9, 1.0–3.4, | 2.0, 1.1–3.9, | 1 (1%) | |
| Ethnicity/Race | .34 | |||||
| White, | 68 (54%) | 50 (40%) | 0.8, 0.4–1.6, .56 | 7 (6%) | ||
| Hispanic, | 9 (41%) | 13 (59%) | 1.6, 0.6–4.6, .38 | 0 | ||
| Other, | 22 (51%) | 20 (47%) | reference | 1 (2%) | ||
| Tumor type | .36 | |||||
| Gastrointestinal, | 50 (49%) | 49 (47%) | 1.6, 0.8–3.1, | 1.5, 0.8–2.9, .24 | 4 (4%) | |
| Gynecological, | 13 (48%) | 12 (45%) | 1.5, 0.6–3.9, .39 | 2 (7%) | ||
| Other, | 36 (60%) | 22 (37%) | reference | reference | 2 (3%) | |
| Treatment status before trial | .31 | |||||
| Prior treatment, | 68 (55%) | 51 (42%) | reference | 4 (3%) | ||
| Treatment naïve, | 31 (46%) | 32 (48%) | 1.4, 0.7–2.5, .31 | 4 (6%) | ||
| Prior therapies | .94 | |||||
| Median = 2 (range: 1–11) | 2 (1–11) | 2 (1–7) | 1 (1–4) | |||
| <2, | 28 (58%) | 18 (38%) | reference | 2 (4%) | ||
| ≥2, | 40 (53%) | 33 (44%) | 1.3, 0.6–2.7, .52 | 2 (3%) | ||
| ECOG status | .24 | |||||
| 0, | 33 (58%) | 21 (37%) | reference | 3 (5%) | ||
| ≥1, | 66 (50%) | 62 (46%) | 1.5, 0.7–2.9, .24 | 5 (4%) | ||
| Death after consent | ||||||
| <3 months, | 16 (48%) | 17 (52%) | .45 | 0 | ||
| <6 months, | 28 (50%) | 28 (50%) | .43 | 0 |
Data are presented as n (%), unless otherwise stated.
All parameters were from the time of consent.
Only patients consented at the University of California, San Diego site. There was a total of 190 patients. These included 182 evaluable and not evaluable patients and 8 awaiting treatment.
Includes non‐Hispanic ethnicity of Asian, Black or African American, other, and declined to state races.
Gastrointestinal tumor type includes 28 hepatobiliary and pancreatic cancers. Other tumor types are all tumor types other than gastrointestinal and gynecological. A detailed profile of tumor types is in supplemental online Table 1.
Number of prior systemic therapies, including adjuvant or neoadjuvant, only among patients receiving prior treatment before enrollment in the I‐PREDICT trial (n = 123, 65%).
ECOG performance status.
Comparison between evaluable and not evaluable patients; excludes eight patients awaiting treatment for less than 6 months.
Association between not evaluable status and parameter. Parameters in the univariable analysis with p ≤ .2 were included in the multivariable analysis; evaluable status = outcome reference.
Not yet determined whether evaluable or not evaluable as of September 26, 2017.
Abbreviations: CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; OR, odds ratio.
Figure 1Reasons for being not evaluable in the I‐PREDICT trial (University of California, San Diego site).