Prediction of opioid dose in cancer pain patients using genetic profiling: Not yet an option with support vector machine learning

TY - JOUR

T1 - Prediction of opioid dose in cancer pain patients using genetic profiling

T2 - Not yet an option with support vector machine learning

AU - Olesen, Anne Estrup

AU - Grønlund, Debbie

AU - Gram, Mikkel

AU - Skorpen, Frank

AU - Drewes, Asbjørn Mohr

AU - Klepstad, Pål

PY - 2018

Y1 - 2018

N2 - Objective: Use of opioids for pain management has increased over the past decade; however, inadequate analgesic response is common. Genetic variability may be related to opioid efficacy, but due to the many possible combinations and variables, statistical computations may be difficult. This study investigated whether data processing with support vector machine learning could predict required opioid dose in cancer pain patients, using genetic profiling. Eighteen single nucleotide polymorphisms (SNPs) within the μ and δ opioid receptor genes and the catechol-O-methyltransferase gene were selected for analysis. Results: Data from 1237 cancer pain patients were included in the analysis. Support vector machine learning did not find any associations between the assessed SNPs and opioid dose in cancer pain patients, and hence, did not provide additional information regarding prediction of required opioid dose using genetic profiling.

AB - Objective: Use of opioids for pain management has increased over the past decade; however, inadequate analgesic response is common. Genetic variability may be related to opioid efficacy, but due to the many possible combinations and variables, statistical computations may be difficult. This study investigated whether data processing with support vector machine learning could predict required opioid dose in cancer pain patients, using genetic profiling. Eighteen single nucleotide polymorphisms (SNPs) within the μ and δ opioid receptor genes and the catechol-O-methyltransferase gene were selected for analysis. Results: Data from 1237 cancer pain patients were included in the analysis. Support vector machine learning did not find any associations between the assessed SNPs and opioid dose in cancer pain patients, and hence, did not provide additional information regarding prediction of required opioid dose using genetic profiling.

KW - Cancer pain

KW - Genetics

KW - SNPs

KW - Support vector machine

U2 - 10.1186/s13104-018-3194-z

DO - 10.1186/s13104-018-3194-z

M3 - Journal article

C2 - 29374492

AN - SCOPUS:85041124388

SN - 1756-0500

VL - 11

JO - BMC Research Notes

JF - BMC Research Notes

M1 - 78

ER -