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Review Article
26 (
1
); 129-133
doi:
10.4103/IJPC.IJPC_155_19

Cannabinoids as an Alternative Option for Conventional Analgesics in Cancer Pain Management: A Pharmacogenomics Perspective

Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka, India
Address for correspondence: Dr. Mahadev Rao, Professor and Head, Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal - 576 104, Karnataka, India. E-mail: mahadev.rao@manipal.edu
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Abstract

The global cancer burden is significantly increasing at an alarming rate affecting patients, relatives, communities, and health-care system. Cancer patients require adequate pain relief and palliative care throughout the life course, especially in terminal illness. Although opioid treatment is successful in majority of patients, around 40% do not achieve enough analgesia or are prone to serious side effects and toxicity. The treatment of medical conditions with cannabis and cannabinoid compounds is constantly expanding. This review organizes the current knowledge in the context of SNPs associated with opioids and nonopioids and its clinical consequences in pain management and pharmacogenetic targets of cannabinoids, for use in clinical practice.

Keywords

Cancer pain
cannabinoids
nonopioids
opioids
pharmacogenomics

INTRODUCTION

Cancer malignancies are among the primary reasons of morbidity and mortality globally, with new cases reaching 18.1 million and fatality rate to 9.6 million in 2018. The global cancer burden is significantly increasing at an alarming rate affecting patients, relatives, communities, and health-care system.[1] Cancer-related pain is the most frequent and unsolved problem faced by cancer patients. Pain can be due to the cancer itself, where a tumor compressing and destroying nearby tissues or from diagnostic or therapeutic procedures or by immune responses. 55% of patients receiving chemotherapy and 66% of patients in terminally ill stage experience pain, of which one-third of all patients experience moderate-to-severe pain intensity.[2] Frequent reassessment of pain is necessary in cancer patients as pain intensity varies in accordance with disease condition, cancer treatments, and psychosocial status. Suboptimal pain management negatively impacts patients to carry out activities of daily living and reduces the quality of life, thereby causing mental distress to patients.[3] Hence, cancer patients require adequate pain relief and palliative care throughout the life course, especially in terminal illness.

PAIN MANAGEMENT IN CANCER PATIENTS

Multidimensional approach interventions in pharmacological and nonpharmacological aspects are essential to treat pain in patients with life-limiting health conditions.[4] In 1986 and 1997, the World Health Organization (WHO) proposed a pain relief ladder approach for cancer patients.[56] According to pain severity in patients, ladder model proposes treatment algorithm starting from nonopioids such as nonsteroidal anti-inflammatory drugs (NSAIDs) to weak opioids and ending in potent opioids. In 2018, the WHO has established guidelines for “pharmacological and radio therapeutic management of cancer pain in adults and adolescents” to offer evidence-based guidance in initiating and managing cancer pain.[7] Generally used medications for treating pain comprise opioids such as codeine, morphine, hydromorphone, oxycodone, fentanyl, and methadone and nonopioids including paracetamol and NSAIDs with adjuvant therapies such as antidepressant and anticonvulsant agents.

NSAIDs, paracetamol, morphine, and other opioids are considered the mainstays for pain management. As per the WHO consideration, patients should have access to a wide range of opioid analgesics, because there are known clinical differences in patient's response to specific analgesics.[7] Although opioid treatment is successful in majority of patients, around 40% do not achieve enough analgesia or are prone to serious side effects and toxicity. Even if opioid rotation is an option, it is highly time consumable which is challenging to hospice patients. As stated by Van Den Beuken-Van Everdingen et al., even though universal opioid consumption rate doubled in 2018 in comparison with 2012, one-third of the patients received no pain medication proportional to their rates of pain intensity.[2] This indicates that dose, dosage, or drug that effectively controls pain for one patient will not be the same for others. Among all other reasons of opioid failures, pharmacogenetic interindividual variability significantly affects the analgesic response and toxicity of the drugs.[8]

Genetic variability due to polymorphism in enzyme metabolizers and transporter genes chiefly accounts for drug sensitivity, response, and predisposition to side effects. One such example is the variation in response to codeine among highly polymorphic cytochrome P450 2D6 variants. Based on the genotype with that of phenotype, patients are categorized as poor (PMs), intermediate, extensive, or ultrarapid metabolizers (UMs). Robust evidence of unsatisfactory pain control and serious side effects of morphine in patients taking codeine urged the Clinical Pharmacogenetics Implementation Consortium to make recommendation to avoid codeine in PMs and UMs.[9] Similarly, various other genes in the family of cytochrome P450, cyclooxygenases, opioid receptors, phospholipase, HLA DQB1 have noteworthy role in affecting analgesic response of conventionally used pain medications.[10111213141516171819202122] SNP's associated with opioids and nonopioids and their respective clinical consequences are depicted in Table 1. Because pain relief is considered as a basic human right,[2324] poor success rate of traditional analgesics and adjuvant therapies throws light on the urgent necessity of alternative therapies, considering pharmacogenetic interindividuality among patients.

Table 1: SNPs associated with nonopioids and opioids and its clinical consequences in pain management
Drug Genotype/SNP Clinical consequences Reference
Metabolizing enzyme: CYP2D6
Codeine Poor metabolizer Lack of efficacy [910]
CYP2D6*3, CYP2D6*4, CYP2D6*5,
CYP2D6*6, CYP2D6*7, CYP2D6*8,
CYP2D6*11
Ultrarapid metabolizer Increased toxicity
CYP2D6*1xn
CYP2D6*2xn
Tramadol Poor metabolizer Reduced analgesia and increased risk of side effects [11]
CYP2D6*3, CYP2D6*4, CYP2D6*5,
CYP2D6*6
Ultrarapid metabolizer Increased toxicity
CYP2D6*1xn
CYP2D6*2xn
Oxycodone Poor metabolizer Decreased response and lack of efficacy [12]
CYP2D6*3, CYP2D6*4, CYP2D6*5,
CYP2D6*6
Ultrarapid metabolizer CYP2D6*1xn Increased metabolism and high risk of toxicity/side effects
CYP2D6*2xn
Methadone CYP2D6*10, CYP2D6*87, CYP2D6*89, Decreased analgesia and/or increased toxicity [13]
CYP2D6*90, CYP2D6*93, CYP2D6*95,
CYP2D6*97, CYP2D6*98
Metabolizing Enzyme: CYP2C9
NSAIDs, celecoxib, diclofenac CYP2C9*2 Increased risk of GI bleeding [14]
CYP2C9*3
Cyclooxygenases 1: PTGS1
NSAIDs PTGS1 (4331 A>T) PTGS1 4331T variant allele Increased risk of acute coronary syndrome [15]
Cyclooxygenases 2: PTGS2
Rofecoxib PGTS2 (−765G>C) PGTS2-765C variant allele Poorer pain relief [16]
Opioid receptor µ: OPRM1
Morphine OPRM1 118A>G Needs larger doses of morphine for pain control [17]
Mutant 118G allele
Opioid receptor kappa: OPRK1
Morphine OPRK1 (36 G>T) Increased dose escalation of morphine is required in cancer related pain [18]
Opioid receptor delta: OPRD1
Opioids OPRD1 921T>C Increased risk of opioid dependence in variant allele of OPRD1 [1920]
Others: Phospholipase C gamma 1 (plus strand)
Acetaminophen and diclofenac, aspirin, propionic acid derivatives or pyrazolones PLCG1 Ser 279 Gly Increased risk of angioedema [21]
HLA-DQB1
Acetaminophen HLA-DQB1*02:02 Increased risk of cutaneous adverse reactions [22]

SNP: Single-nucleotide polymorphism, CYP2D6: Cytochrome P450 2D6, CYP2C9: Cytochrome P450 2C9, NSAIDs: Nonsteroidal anti-inflammatory drugs, PTGS: Prostaglandin-endoperoxide synthase, HLA-DQB1: Major histocompatibility complex, class II, DQ beta 1, GI: Gastrointestinal

CANNABINOIDS

Cannabis sativa and Cannabis indica plants of family Cannabaceae contain approximately 100 cannabinoids, in which the active ingredient Delta-9-tetrahydrocannabinol (THC) is effective in the psychoactive properties. Cannabidiol (CBD) is another chief constituent that lacks the psychotropic effects, but carries antiemetics, antiepileptic, as well as other effects.[2526] Cannabinoid receptors, to date, CB1 and CB2, have been recognized where CB1 is located in the brain region and CB2 in the immune cells.[27]

Cannabinoids in cancer pain management

Cannabinoids produce analgesic effect by activating CB1 receptors present in CNS and nerve terminals. Furthermore, peripheral CB2 receptors facilitate analgesia, by blocking the production of pain and inflammatory mediators, which is important in managing cancer pain.[28] A selective review study by Blake et al. included clinical studies performed between 1975 and 2014 that evaluated the effectiveness of THC and CBD and reported that cannabinoids with decreased cancer pain were significantly associated in four out of five trials.[29] A double-blind randomized clinical trial (RCT) measuring the impact of nabiximols, a novel cannabis extract, showed substantial improvements in pain in patients with advanced cancer with opioid refractory pain.[30] In other RCT of 177 cancer patients who have unsatisfactory clinical response to opioids, the authors compared the effectiveness of THC: CBD extract and THC extract with placebo. THC: CBD extract presented statistically significant modification in baseline score in numerical pain rating scale compared with placebo.[31] These evidences supported the use of cannabinoids and their derivatives to use as an alternative or substitute in patients who are unable to take opioids and NSAIDs in cancer pain management.

PALLIATIVE EFFECTS OF CANNABINOIDS

Inhibition of nausea and vomiting

Nausea and vomiting are one of the devastating after effects of cancer chemotherapy. Despite the routinely administering antiemetics, the incidence of chemotherapy-induced nausea and vomiting (CINV) is relatively high.[32] Antiemetic property of cannabinoids is well established in animal models. Suggested mechanisms of antiemesis are through cannabinoid-mediated acetylcholine blocking and inhibiting digestive tract motility or through acting on CB1 receptors present in dorsal–vagal complex of the brain stem. Dronabinol and nabilone are already approved to treat chemotherapy-associated nausea and emesis. Moreover, there is evidence that cannabinoids are efficient in reducing nausea and vomiting during the delayed chemotherapy stage that is poorly regulated by the 5-HT receptor antagonist.[3334]

Appetite stimulation

Anorexia is one of the most disturbing symptoms of patients with advanced cancer that leads to major weight loss. Numerous studies revealed that THC and other cannabinoids at low-to-moderate doses have stimulatory effects on appetite and increase food consumption in animals. Dronabinol has already approved for AIDS wasting syndrome.[35]

Psychological effects

In vivo studies indicate that cannabinoids exert antianxiety effects at low doses. THC and nabilone provide positive psychological effects, reduction in anxiety and depression, and enhanced sleep. These potentially positive effects can impact the medical outcomes of patients with terminally ill cancer.[36]

Antineoplastic effects

In vitro studies showed that THC, synthetic cannabinoid agonists, naturally occurring cannabinoids (CBD and cannabinol), and endocannabinoids have anticancer effects in case of lung cancer, gliomas, skin cancer, lymphomas, breast cancer, prostate cancer, uterine cancer, neuroblastoma, and thyroid epithelioma. In vivo studies also showed that natural and synthetic cannabinoids exhibit anticancer effects in xenografts of lung cancer, thyroid, skin cancer, epitheliomas, lymphomas, and gliomas.[3738]

Cannabinoid-based pharmaceuticals

Nonimportance in medical field and risk of misuse restricted the use of cannabis and its derivatives until recently. Rapidly changing policy leads cannabis to be given for medicinal purpose in many countries. This paves the way for novel treatment openings for patients although it should be weighed up against risk factors.

Inhalation of smoke is the common route of administration of cannabinoids as the active components are absorbed by lung alveoli and delivered to CNS.[39] However, due to problems caused due to improper delivery and variable absorption of drug, other routes of administration are considered by pharmaceutical companies.[26] Cannabinoid derivatives of THC, CBD, or its combinations are used for therapeutic purpose. An oral spray containing THC and CBD (1:1 ratio) nabiximols (Sativex®) is approved for spasticity therapy in multiple sclerosis in many European nations.[40] Epidiolex®, an oral CBD solution, is currently approved in the USA for the treatment of Lennox–Gastaut syndrome and Dravet syndrome.[41]

Synthetically produced products such as dronabinol and nabilone typically mimic THC. Nabilone has more related structure to THC and more potent when compared to dronabinol. They are approved for the weight loss treatment in HIV patients and patients with CINV, who are nonresponders to traditional antiemetics.[42]

PHARMACOGENOMICS OF CANNABINOIDS

Amidst all the benefits of cannabinoids, the patient's response to the drug depends on the individual's genetic background. Cytochrome P-450 (CYP-450) enzymes are involved in the primary metabolism of several exogenous cannabinoids: THC (CYPs 2C9, 3A4); cannabidiol (CBD; CYPs 2C19, 3A4); and cannabinol (CBN; CYPs 2C9, 3A4). Clinical pharmacogenetic data supported cytochrome P450 2C9 as a major contributor to THC metabolism. UDP-glucuronosyltransferases was recognized as capable of catalyzing the cannabinoid metabolism of both primary (CBD and CBN) and secondary (THC) cannabinoid metabolism.[43] The glucuronidation rates of cannabinol was observed at high levels by UGT1A10 and to a lesser extent by UGT1A7, UGT1A9, and UGT2B7 enzymes.[44] Interestingly, majority of the SNPs associated with the cannabinoids metabolism are distinct from the SNPs associated with the conventional analgesics related to pain management.

CONCLUSION

Despite significant improvements in recent years in cancer pain assessment and management, still significant number of patients with poorly regulated pain are present. A complete, holistic treatment strategy which consists of pharmacological and pharmacogenetic-based precision therapy would be utmost beneficial. The medicinal use of cannabis for the therapeutic management of multiple diseases have been documented in several traditional ayurvedic literatures over different periods of Indian history.

Further pharmacogenomic research examining the heterogeneity of SNPs associated with benefits and failure of conventional analgesics would aid in deriving appropriate directions for potential precision therapy of cannabinoids for pain management in cancer patients.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

REFERENCES

  1. , , , , , , . Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68:394-424.
    [Google Scholar]
  2. , , , , , . Update on prevalence of pain in patients with cancer: Systematic review and meta-analysis. J Pain Symptom Manage. 2016;51:1070-90.
    [Google Scholar]
  3. , , , , , , . Cancer-related pain: A Pan-European survey of prevalence, treatment, and patient attitudes. Ann Oncol. 2009;20:1420-33.
    [Google Scholar]
  4. , , , , . Multidimensional treatment of cancer pain. Curr Oncol Rep. 2017;19:10.
    [Google Scholar]
  5. . Cancer Pain Relief. World Health Organization; Available from: https://apps.who.int/iris/handle/10665/43944
  6. . Cancer Pain Relief: with a Guide to Opioid Availability. World Health Organization; Available from: https://apps.who.int/iris/handle/10665/37896
  7. . WHO Guidelines for the Pharmacological and Radio Therapeutic Management of Cancer Pain in Adults and Adolescents. World Health Organization; Available from: http://www.ncbi.nlm.nih.gov/books/NBK537492/
  8. , , , , , , . Strategies to manage the adverse effects of oral morphine: An evidence-based report. J Clin Oncol. 2001;19:2542-54.
    [Google Scholar]
  9. , , , , , , . Clinical pharmacogenetics implementation consortium (CPIC) guidelines for codeine therapy in the context of cytochrome P450 2D6 (CYP2D6) genotype. Clin Pharmacol Ther. 2012;91:321-6.
    [Google Scholar]
  10. , , , , , , . Clinical pharmacogenetics implementation consortium guidelines for cytochrome P450 2D6 genotype and codeine therapy: 2014 update. Clin Pharmacol Ther. 2014;95:376-82.
    [Google Scholar]
  11. , , , , , , . Pharmacogenetics: From bench to byte – An update of guidelines. Clin Pharmacol Ther. 2011;89:662-73.
    [Google Scholar]
  12. , , , , , , . The hypoalgesic effect of oxycodone in human experimental pain models in relation to the CYP2D6 oxidation polymorphism. Basic Clin Pharmacol Toxicol. 2009;104:335-44.
    [Google Scholar]
  13. , , , , , , . In vitro assessment of 24 CYP2D6 allelic isoforms on the metabolism of methadone. Drug Test Anal. 2017;9:216-20.
    [Google Scholar]
  14. , , , , , , . Genetic predisposition to acute gastrointestinal bleeding after NSAIDs use. Br J Pharmacol. 2004;141:205-8.
    [Google Scholar]
  15. , , , , , , . Genetic polymorphisms and the cardiovascular risk of non-steroidal anti-inflammatory drugs. Am J Cardiol. 2010;105:1740-5.
    [Google Scholar]
  16. , , , , , . Genetically mediated interindividual variation in analgesic responses to cyclooxygenase inhibitory drugs. Clin Pharmacol Ther. 2006;79:407-18.
    [Google Scholar]
  17. , , , , , , . Association between two mu-opioid receptor gene (OPRM1) haplotype blocks and drug or alcohol dependence. Hum Mol Genet. 2006;15:807-19.
    [Google Scholar]
  18. , , , , , , . Genetic analysis of mu and kappa opioid receptor and COMT enzyme in cancer pain Tunisian patients under opioid treatment. Iran J Public Health. 2017;46:1704-11.
    [Google Scholar]
  19. , , , , , , . An analysis of genetic association in opioid dependence susceptibility. J Clin Pharm Ther. 2018;43:80-6.
    [Google Scholar]
  20. , , , , , , . Association of polymorphisms in pharmacogenetic candidate genes (OPRD1, GAL, ABCB1, OPRM1) with opioid dependence in European population: A case-control study. PLoS One. 2013;8:e75359.
    [Google Scholar]
  21. , , , , , , . Association study of genetic variants in PLA2G4A, PLCG1, LAT, SYK, and TNFRS11A genes in NSAIDs-induced Urticaria and/or angioedema patients. Pharmacogenet Genomics. 2015;25:618-21.
    [Google Scholar]
  22. , , , , , , . Astudy of HLA class I and class II 4-digit allele level in Stevens-Johnson syndrome and toxic epidermal necrolysis. Int J Immunogenet. 2011;38:303-9.
    [Google Scholar]
  23. , . Palliative care as an international human right. J Pain Symptom Manage. 2007;33:494-9.
    [Google Scholar]
  24. , . Pain as a human right: The 2004 global day against pain. J Pain Palliat Care Pharmacother. 2005;19:85-100.
    [Google Scholar]
  25. , . Cannabinoids in the treatment of epilepsy: Hard evidence at last? J Epilepsy Res. 2017;7:61-76.
    [Google Scholar]
  26. , , , , , , . An update of current cannabis-based pharmaceuticals in pain medicine. Pain Ther. 2019;8:41-51.
    [Google Scholar]
  27. , , . Cannabis in cancer care. Clin Pharmacol Ther. 2015;97:575-86.
    [Google Scholar]
  28. , , . Cannabinoid analgesia. Pharmacol Ther. 2002;95:127-35.
    [Google Scholar]
  29. , , , , , , . A selective review of medical cannabis in cancer pain management. Ann Palliat Med. 2017;6:S215-S222.
    [Google Scholar]
  30. , , , , , , . Nabiximols for opioid-treated cancer patients with poorly-controlled chronic pain: A randomized, placebo-controlled, graded-dose trial. J Pain. 2012;13:438-49.
    [Google Scholar]
  31. , , , , , , . Multicenter, double-blind, randomized, placebo-controlled, parallel-group study of the efficacy, safety, and tolerability of THC: CBD extract and THC extract in patients with intractable cancer-related pain. J Pain Symptom Manage. 2010;39:167-79.
    [Google Scholar]
  32. , , , , , , . Astudy on utilization and evaluation of antiemetics in chemotherapy-induced nausea and vomiting. Indian J Med Paediatr Oncol. 2017;38:334-9.
    [Google Scholar]
  33. , . Therapeutic aspects of cannabis and cannabinoids. Br J Psychiatry. 2001;178:107-15.
    [Google Scholar]
  34. , , . Cannabinoids for gastrointestinal diseases: Potential therapeutic applications. Expert Opin Investig Drugs. 2003;12:39-49.
    [Google Scholar]
  35. , , . Tetrahydrocannabinol and endocannabinoids in feeding and appetite. Pharmacol Ther. 2002;95:185-90.
    [Google Scholar]
  36. , , , . Established and potential therapeutic applications of cannabinoids in oncology. Support Care Cancer. 2003;11:137-43.
    [Google Scholar]
  37. , , , . Cannabinoids and cancer: Causation, remediation, and palliation. Lancet Oncol. 2005;6:35-42.
    [Google Scholar]
  38. , . Cannabinoids: Potential anticancer agents. Nat Rev Cancer. 2003;3:745-55.
    [Google Scholar]
  39. , . Human cannabinoid pharmacokinetics. Chem Biodivers. 2007;4:1770-804.
    [Google Scholar]
  40. , , . Tetrahydrocannabinol: Cannabidiol oromucosal spray for multiple sclerosis-related resistant spasticity in daily practice. Eur Neurol. 2016;76:216-26.
    [Google Scholar]
  41. , , , , . Medicinal use of cannabis based products and cannabinoids. BMJ. 2019;365:l1141.
    [Google Scholar]
  42. , , , , , , . Cannabinoids for medical use: A Systematic review and meta-analysis. JAMA. 2015;313:2456-73.
    [Google Scholar]
  43. , , . Exogenous cannabinoids as substrates, inhibitors, and inducers of human drug metabolizing enzymes: A systematic review. Drug Metab Rev. 2014;46:86-95.
    [Google Scholar]
  44. , , , , , , . Characterization of human hepatic and extrahepatic UDP-glucuronosyltransferase enzymes involved in the metabolism of classic cannabinoids. Drug Metab Dispos. 2009;37:1496-504.
    [Google Scholar]
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