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IntroductionMillions of persons with chronic pain across North America and Europe use opioids. While the immunosuppressive properties of opioids are associated with risks of infections, these outcomes could be mitigated through careful patient selection and monitoring practices when appropriate. It is important to recognise that some patients do benefit from a carefully tailored opioid therapy. Enough primary studies have been published to date regarding the role of opioids in potential immunosuppression presenting as an increased rate of infection acquisition, infectious complications and mortality. There is thus a critical need for a consensus in this area.Methods and analysisThe methodology is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, the MOOSE Guidelines for Meta-Analyses and Systematic Reviews of Observational Studies and the Cochrane Handbook for Systematic Reviews of Interventions. We plan to systematically search Ovid MEDLINE, CINAHL, PsycINFO, EMB Review, EMBASE, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials and Google Scholar databases from their inception date to December 2023. Full-text primary studies that report measurable outcomes in adults with chronic pain, all routes of opioid use, all types of infections and all settings will be included. We will identify a scope of reported infections and the evidence on the association of opioid use (including specific opioid, dosage, formulation and duration of use) with the risk of negative infectious outcomes. Opioid use-associated outcomes, comparing opioid use with another opioid or a non-opioid medication, will be reported. The meta-analysis will incorporate individual risk factors. If data are insufficient, the results will be synthesised narratively. Publication bias and confounding evaluation will be performed. The Grading of Recommendations Assessment, Development and Evaluation framework will be used.Ethics and disseminationApproval for the use of published data is not required. The results will be published, presented at conferences and discussed in deliberative dialogue groups.PROSPERO registration numberCRD42023402812.
IntroductionMillions of persons with chronic pain across North America and Europe use opioids. While the immunosuppressive properties of opioids are associated with risks of infections, these outcomes could be mitigated through careful patient selection and monitoring practices when appropriate. It is important to recognise that some patients do benefit from a carefully tailored opioid therapy. Enough primary studies have been published to date regarding the role of opioids in potential immunosuppression presenting as an increased rate of infection acquisition, infectious complications and mortality. There is thus a critical need for a consensus in this area.Methods and analysisThe methodology is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, the MOOSE Guidelines for Meta-Analyses and Systematic Reviews of Observational Studies and the Cochrane Handbook for Systematic Reviews of Interventions. We plan to systematically search Ovid MEDLINE, CINAHL, PsycINFO, EMB Review, EMBASE, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials and Google Scholar databases from their inception date to December 2023. Full-text primary studies that report measurable outcomes in adults with chronic pain, all routes of opioid use, all types of infections and all settings will be included. We will identify a scope of reported infections and the evidence on the association of opioid use (including specific opioid, dosage, formulation and duration of use) with the risk of negative infectious outcomes. Opioid use-associated outcomes, comparing opioid use with another opioid or a non-opioid medication, will be reported. The meta-analysis will incorporate individual risk factors. If data are insufficient, the results will be synthesised narratively. Publication bias and confounding evaluation will be performed. The Grading of Recommendations Assessment, Development and Evaluation framework will be used.Ethics and disseminationApproval for the use of published data is not required. The results will be published, presented at conferences and discussed in deliberative dialogue groups.PROSPERO registration numberCRD42023402812.
BackgroundImmunomodulation is widely invoked to explain possible effects of anesthetic/analgesic drugs on recurrence and survival in cancer patients. By analogy with immune checkpoint inhibitors, which enhance anti-tumor actions of immune cells in the tumor microenvironment (TME), we aim to develop a precision approach to immunomodulation by anesthetic/analgesic drugs. We explore biomarkers predictive of immunotherapy response [tumor mutational burden (TMB)] and resistance [fraction genome altered (FGA)] in relation to anesthetic/analgesic dose to survival response and the expression of drug target receptor genes.MethodsTwo local clinical cohorts [lung adenocarcinoma (LUAD) and colon adenocarcinoma (COAD) patients] were analyzed retrospectively to yield statistical interactions between drugs, outcomes, and TMB/FGA (extending previously reported results). Bulk tumor gene expression data for solid tumors from 6,488 patients across 18 solid tumor types was obtained from The Cancer Genome Atlas (TCGA) and normalized by tumor type. TMB and FGA for each TCGA patient sample was extracted from cBioPortal. DeSeq was employed to quantify differential gene expression of target receptors of 79 common anesthetic/analgesic drugs for high/low TMB and FGA. Localization of these receptors to specific immune cells was estimated using CIBERSORT.ResultsIncreased TMB and FGA magnified opioid pro-tumor effects on overall survival in LUAD, while increased TMB reduced ketamine anti-tumor effects on recurrence and did not affect ketorolac anti-tumor effects on recurrence. In COAD, increased TMB (DNA mismatch repair deficiency) magnified opioid anti-tumor effects on recurrence. Drug target receptor gene expression (and immune cell-type specificity) correlated with both TMB and FGA as a function of cancer type.ConclusionsTMB and FGA may have utility as biomarkers predictive of individual cancer patient response to anesthetic/analgesic dose effects on survival due to immunomodulation. Correlation across cancer types of anesthetic/analgesic target receptor gene expression with TMB and FGA and with TME immune cell types suggests molecular/omics level targets for further mechanistic exploration. A precision oncoanalgesia approach in the cancer patient may ultimately be warranted to optimize oncological outcomes.
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