| Literature DB >> 35601274 |
Abstract
Public media coverage has fueled a demand for methadone as potential cure for cancer itself. Because patients have asked for respective prescriptions, clinical societies issued statements warning against the use of methadone as long as preclinical findings have not been supported by clinical evidence. In fact, not all preclinical data clearly support relevant effects. However, strong epidemiologic data suggest beneficial effects of methadone on cancer. Alternative explanations, namely better safety of methadone or hidden selection bias, seem less likely. This uncertainty can only be resolved by randomized controlled clinical trials. This review discusses all relevant data pertinent to methadone and cancer, uncovers supportive epidemiologic data, and suggests possible study designs. Copyright:Entities:
Keywords: Methadone; cancer; doxorubicin; randomized controlled clinical trials
Year: 2019 PMID: 35601274 PMCID: PMC9091806 DOI: 10.12688/f1000research.20454.2
Source DB: PubMed Journal: F1000Res ISSN: 2046-1402
VA study of Krebs et al. 2011: Main data of the propensity quintiles.
| Quintile | 1 | 2 | 3 | 4 | 5 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Meth | LA mo | Meth | LA mo | Meth | LA mo | Meth | LA mo | Meth | LA mo | |
| P·Y | 947 | 5 707 | 2 923 | 11 775 | 4 202 | 11 739 | 5 869 | 10 989 | 8 179 | 8 268 |
| Ratio Me/Mo | 0.166 | 0.248 | 0.358 | 0.534 | 0.989 | |||||
| Age (mean, y) | 64 | 64 | 60 | 61 | 58 | 58 | 55 | 55 | 52 | 52 |
| Any malign. (%) | 43 | 45 | 29 | 30 | 17 | 17 | 10 | 10 | 4 | 4 |
| MI (%) | 14 | 13 | 13 | 13 | 10 | 10 | 8 | 8 | 6 | 6 |
| CHF (%) | 25 | 24 | 21 | 21 | 17 | 17 | 14 | 14 | 10 | 10 |
| HIV/AIDS (%) | 2 | 2 | 2 | 2 | 1 | 1 | <1 | <1 | <1 | <1 |
| Tobacco disorders [%] | 36 | 34 | 41 | 39 | 44 | 44 | 48 | 48 | 52 | 53 |
| Back pain (%) | 63 | 59 | 74 | 74 | 81 | 82 | 88 | 89 | 94 | 93 |
| Joint or limb pain (%) | 79 | 74 | 81 | 82 | 85 | 85 | 88 | 87 | 89 | 90 |
| HR | 0.36 | 0.48 | 0.50 | 0.66 | 0.92 | |||||
P·Y: Person-years .
Ratio Me/Mo indicates the ratio of the P·Y values, methadone by long-acting (LA) morphine per quintile.
The background data were derived from the supplementary appendix . The upper 2 lines (age, any malign.) show two variables that presumably triggered the advantage for methadone over LA morphine concerning survival.
The middle 4 lines (MI, CHF, HIV/AIDS, Tobacco) show otherwise important variables related to survival without obviously relevant differences between the groups. Back pain and joint limb pain are shown as main explanation for the indication and the almost turned Me/Mo ratio in Quintile 5.
An HR below 1 indicates a lower mortality after methadone compared with LA morphine, the lower the better. The HR of 0.36 could be translated e.g. into 100/1000 LA morphine patients died but only 36/1000 methadone patients in the same time interval.
MI: Myocardial infarction. CHF: Congestive heart failure.
Note that the paper did not provide data on the body mass index.
VA study of Krebs et al. 2011: HR and 95% CI.
| N | Lower margin | HR | Upper margin | CI width | |
|---|---|---|---|---|---|
| Primary cohort | 98 068 | 0.51 | 0.56 | 0.62 | 0.11 |
| Subcohort „non-cancer“ | 18 013 | 0.69 | 0.78 | 0.87 | 0.18 |
| Subcohort „cancer“
| 80 055 | (0.4375) | 0.51 | (0.5825) | 0.145 |
HR: Hazard ratio of survival estimates. Values below 1 indicate lower mortality after methadone (compared with long-acting morphine) .
a HR and CI were not reported in that paper. However, the HR can be estimated from the data given. For the CI of this subcohort a CI width between the other 2 cohorts was assumed. Note that this is a very conservative strategy given the much higher sample size in the subcohort “cancer”.
Observational comparative 4 cohort study.
| Patients with cancer | Patients with non-cancer
| |||||||
|---|---|---|---|---|---|---|---|---|
| N | HR | 95% CI | p | N | HR | 95% CI | p | |
|
| ||||||||
| Methadone | 178 | 0.24 | 0.05–1.13 | 0.071 | 508 | 0.70 | 0.29–1.69 | 0.426 |
| Oxycodone | 339 | 0.68 | 0.27–1.72 | 0.411 | 447 | 0.52 | 0.22–1.23 | 0.138 |
| Fentanyl TD | 307 | 1.08 | 0.43–2.74 | 0.870 | 338 | 1.42 | 0.63–3.21 | 0.404 |
| Morphine | 471 | Reference | 734 | Reference | ||||
|
| ||||||||
| Methadone | 178 | 0.48 | 0.18–1.23 | 0.127 | 508 | 0.78 | 0.29–2.13 | 0.628 |
| Oxycodone | 339 | 0.74 | 0.46–1.21 | 0.226 | 447 | 0.98 | 0.45–2.14 | 0.961 |
| Fentanyl TD | 307 | 0.93 | 0.58–1.49 | 0.768 | 338 | 0.89 | 0.43–1.84 | 0.753 |
| Morphine | 471 | Reference | 734 | Reference | ||||
Transcribed from Table 3, Table 4, and Table 5 of reference .
Estimates from Cox Proportional Hazard Models. HR: Hazard Ratio. TD: Transdermal (patch)