Skip to main content
Log in

Screening for clinically relevant drug-drug interactions between direct oral anticoagulants and antineoplastic agents: a pharmacovigilance approach

  • Published:
Journal of Thrombosis and Thrombolysis Aims and scope Submit manuscript

Abstract

Background

Use of direct oral anticoagulants (DOACs) in patients with cancer remains suboptimal due to the concern regarding potential drug-drug interactions (DDIs) with antineoplastic treatments. However, the clinical relevance of these DDIs is unknown.

Methods

We conducted a pharmacovigilance study of adverse event (AE) reports from the US Food and Drug Administration Adverse Event Reporting System from 1/1/2004 to 12/31/2021. AE reports containing DOACs and antineoplastic agents with CYP3A4/P-gp inhibitory or inducing activity suggested by published pharmacokinetic studies were included (n = 36,066). The outcomes of interest were bleeding or stroke, identified by MedDRA dictionary version 25.0. We used disproportionality analyses (DPA), logistic regression models (LR), and Multi-item Gamma-Poisson Shrinker (MGPS) (Empirical Bayes Geometric Means (EBGM) and 90% credible intervals (90% CIs)) algorithms to identify the safety signal of DDIs.

Results

The highest bleeding reporting rates for each drug class were the combination of DOACs with neratinib (39.08%, n = 34), tamoxifen (21.22%, n = 104), irinotecan (20.54%, n = 83), and cyclosporine (19.17%, n = 227). The highest rate of stroke was found for prednisolone (2.43%, n = 113). In the primary analysis, no signal of DDIs by the antineoplastic therapeutic class was detected by MGPS, DPA, and LR approaches. By individual antineoplastic drug, DOACs-neratinib was the only signal detected [EBGM (EB05-EB95) = 2.71 (2.03–3.54)].

Conclusion

No signal of DDIs between DOACs and antineoplastic agents was detected, except for DOAC-neratinib. Most DDIs between DOACs and antineoplastic agents may not be clinically relevant. The DDIs between DOACs and neratinib should be further examined in future research.

Highlights

Using a pharmacovigilance approach, this study examined the adverse event reporting risk in bleeding/stroke with concurrent DOACs and antineoplastic agents (kinase inhibitors, hormonal therapy, chemotherapeutic agents, immunomodulating agents, and antineoplastic CYP3A4/P-gp inducers) from real-world data.

Most of the assessed drug-drug interactions (DDIs) between DOACs and antineoplastic agents (kinase inhibitors, hormonal therapy, chemotherapeutic agents, immunomodulating agents, and antineoplastic CYP3A4/P-gp inducers) did not exhibit significant risk signals.

The combination of DOACs and neratinib showed an elevated risk signal and should be further examined in future research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Data Availability

The datasets generated during and/or analyzed during the current study are publicly available in the US FDA FAERS repository, https://fis.fda.gov/extensions/FPD-QDE-FAERS/FPD-QDE-FAERS.html.

References

  1. Timp JF, Braekkan SK, Versteeg HH, Cannegieter SC (2013) Epidemiology of cancer-associated venous thrombosis. Blood 122(10):1712–1723

    Article  CAS  PubMed  Google Scholar 

  2. Prandoni P, Lensing AWA, Piccioli A et al (2002) Recurrent venous thromboembolism and bleeding complications during anticoagulant treatment in patients with cancer and venous thrombosis. Blood 100(10):3484–3488

    Article  CAS  PubMed  Google Scholar 

  3. Atterman A, Friberg L, Asplund K, Engdahl J (2020) Net benefit of oral anticoagulants in patients with atrial fibrillation and active cancer: a nationwide cohort study. EP Europace 22(1):58–65

    PubMed  Google Scholar 

  4. Fradley MG, Ellenberg K, Alomar M et al (2020) Patterns of Anticoagulation Use in patients with Cancer with Atrial Fibrillation and/or atrial flutter. JACC: CardioOncology 2(5):747–754

    PubMed  PubMed Central  Google Scholar 

  5. O’Neal WT, Claxton JS, Sandesara PB et al (2018) Provider Specialty, Anticoagulation, and stroke risk in patients with Atrial Fibrillation and Cancer. J Am Coll Cardiol 72(16):1913–1922

    Article  PubMed  PubMed Central  Google Scholar 

  6. Hindricks G, Potpara T, Dagres N et al (2020) 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic surgery (EACTS): the Task Force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Eur Heart J 42(5):373–498

    Article  Google Scholar 

  7. January CT, Wann LS, Calkins H et al (2019) 2019 AHA/ACC/HRS focused update of the 2014 AHA/ACC/HRS Guideline for the management of patients with Atrial Fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the heart rhythm society in collaboration with the Society of thoracic surgeons. Circulation 140(2):e125–e151

    Article  PubMed  Google Scholar 

  8. Delluc A, Wang T-F, Yap E-S et al (2019) Anticoagulation of cancer patients with non-valvular atrial fibrillation receiving chemotherapy: Guidance from the SSC of the ISTH. J Thromb Haemost 17(8):1247–1252

    Article  PubMed  Google Scholar 

  9. Menichelli D, Vicario T, Ameri P et al (2021) Cancer and atrial fibrillation: Epidemiology, mechanisms, and anticoagulation treatment. Prog Cardiovasc Dis 66:28–36

    Article  PubMed  Google Scholar 

  10. Gatti M, Raschi E, Poluzzi E et al (2020) The Complex Management of Atrial Fibrillation and Cancer in the COVID-19 era: drug interactions, thromboembolic risk, and Proarrhythmia. Curr Heart Fail Rep 17(6):365–383

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Walker AJ, Card TR, West J, Crooks C, Grainge MJ (2013) Incidence of venous thromboembolism in patients with cancer – a cohort study using linked United Kingdom databases. Eur J Cancer 49(6):1404–1413

    Article  PubMed  Google Scholar 

  12. Cronin-Fenton DP, Søndergaard F, Pedersen LA et al (2010) Hospitalisation for venous thromboembolism in cancer patients and the general population: a population-based cohort study in Denmark, 1997–2006. Br J Cancer 103(7):947–953

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Girardi L, Wang T-F, Ageno W, Carrier M (2023) Updates in the incidence, pathogenesis, and management of Cancer and venous thromboembolism. Arterioscler Thromb Vasc Biol 43(6):824–831

    Article  CAS  PubMed  Google Scholar 

  14. Riess H, Prandoni P, Harder S, Kreher S, Bauersachs R (2018) Direct oral anticoagulants for the treatment of venous thromboembolism in cancer patients: potential for drug–drug interactions. Crit Rev Oncol/Hematol 132:169–179

    Article  PubMed  Google Scholar 

  15. Correction to (2022) Complexity and clinical significance of drug–drug interactions (DDIs) in oncology: challenging issues in the care of patients regarding cancer–associated thrombosis (CAT). Support Care Cancer 30(10):8575–8575

    Article  Google Scholar 

  16. Comerota AJ, Ramacciotti E (2016) A comprehensive overview of direct oral anticoagulants for the management of venous thromboembolism. Am J Med Sci 352(1):92–106

    Article  PubMed  Google Scholar 

  17. Steffel J, Verhamme P, Potpara TS et al (2018) The 2018 European Heart Rhythm Association practical guide on the use of non-vitamin K antagonist oral anticoagulants in patients with atrial fibrillation. Eur Heart J 39(16):1330–1393

    Article  CAS  PubMed  Google Scholar 

  18. Wang CL, Wu VC, Tu HT et al (2021) Risk of major bleeding associated with concomitant use of anticancer drugs and direct oral anticoagulant in patients with cancer and atrial fibrillation. J Thromb Thrombolysis

  19. Keramida K, Filippatos G, Farmakis D (2021) Cancer treatment and atrial fibrillation: use of pharmacovigilance databases to detect cardiotoxicity. Eur Heart J - Cardiovasc Pharmacotherapy 7(4):321–323

    Article  Google Scholar 

  20. U.S. Food and Drug Administration. Questions and Answers on FDA’s Adverse Event Reporting System (FAERS). https://www.fda.gov/drugs/surveillance/questions-and-answers-fdas-adverse-event-reporting-system-faers. (2018) Accessed December 20, 2021

  21. Food US, Administration D (2022) FDA Adverse Event Reporting System (FAERS) Public Dashboard. https://fis.fda.gov/sense/app/95239e26-e0be-42d9-a960-9a5f7f1c25ee/sheet/7a47a261-d58b-4203-a8aa-6d3021737452/state/analysis. Published 2021. Accessed March 23,

  22. Food US, Administration D (2021) FDA Adverse Event Reporting System (FAERS): Latest Quarterly Data Files. https://www.fda.gov/drugs/questions-and-answers-fdas-adverse-event-reporting-system-faers/fda-adverse-event-reporting-system-faers-latest-quarterly-data-files. Accessed December 20, 2021

  23. The University of Liverpool (2022) Liverpool cancer drug interaction checker. https://cancer-druginteractions.org/checker. Accessed December 13, 2022

  24. US Food and Drug Administration (2021) Purple Book: Database of Licensed Biological Products. https://purplebooksearch.fda.gov/. Accessed December 21, 2021

  25. IBM Micromedex (2021) IBM® Micromedex® RED BOOK. https://www.micromedexsolutions.com/micromedex2/librarian/CS/64D0A6/ND_PR/evidencexpert/ND_P/evidencexpert/DUPLICATIONSHIELDSYNC/FB80F0/ND_PG/evidencexpert/ND_B/evidencexpert/ND_AppProduct/evidencexpert/ND_T/evidencexpert/PFActionId/redbook.FindRedBook?navitem=topRedBook&isToolPage=true. Accessed December 21, 2021

  26. US Food and Drug Administration. National Drug Code Directory (2021) https://www.fda.gov/drugs/drug-approvals-and-databases/national-drug-code-directory. Published 2021. Accessed December 21,

  27. IBM Micromedex (2021) micromedexsolutions.com/micromedex2/librarian. Accessed December 21, 2021

  28. Sakaeda T, Tamon A, Kadoyama K, Okuno Y (2013) Data Mining of the Public Version of the FDA adverse event reporting system. Int J Med Sci 10(7):796–803

    Article  PubMed  PubMed Central  Google Scholar 

  29. MedDRA MSSO (2021) Introductory Guide for Standardised MedDRA Queries (SMQs) Version 24.1. https://alt.meddra.org/files_acrobat/SMQ_intguide_24_1_English.pdf. Accessed December 21, 2021

  30. Ibrahim H, Saad A, Abdo A, Sharaf Eldin A (2016) Mining association patterns of drug-interactions using post marketing FDA’s spontaneous reporting data. J Biomed Inform 60:294–308

    Article  PubMed  Google Scholar 

  31. van Puijenbroek EP, Bate A, Leufkens HGM, Lindquist M, Orre R, Egberts ACG (2002) A comparison of measures of disproportionality for signal detection in spontaneous reporting systems for adverse drug reactions. Pharmacoepidemiol Drug Saf 11(1):3–10

    Article  PubMed  Google Scholar 

  32. Noguchi Y, Tachi T, Teramachi H (2019) Review of statistical methodologies for detecting drug–drug interactions using spontaneous Reporting Systems. Front Pharmacol 10:1319

    Article  PubMed  PubMed Central  Google Scholar 

  33. Ibrahim H, Abdo A, El Kerdawy AM, Eldin AS (2021) Signal Detection in Pharmacovigilance: a review of Informatics-driven approaches for the Discovery of Drug-Drug Interaction signals in different data sources. Artif Intell Life Sci 1:100005

    CAS  Google Scholar 

  34. US Food and Drug Administration (2021) Data Mining at FDA -- White Paper. https://www.fda.gov/science-research/data-mining/data-mining-fda-white-paper. Published 2018. Accessed December 22,

  35. Dumouchel W (1999) Bayesian data mining in large frequency tables, with an application to the FDA spontaneous reporting system. Am Stat 53(3):177–190

    Google Scholar 

  36. Sunaga T, Cicali B, Schmidt S, Brown J (2021) Comparison of contraceptive failures associated with CYP3A4-inducing drug-drug interactions by route of hormonal contraceptive in an adverse event reporting system. Contraception 103(4):222–224

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Szarfman A, Machado SG, O’Neill RT (2002) Use of screening algorithms and computer systems to efficiently signal higher-than-expected combinations of drugs and events in the US FDA’s spontaneous reports database. Drug Saf 25(6):381–392

    Article  CAS  PubMed  Google Scholar 

  38. Pham M, Cheng F, Ramachandran K (2019) A comparison study of Algorithms to detect drug-adverse event Associations: Frequentist, bayesian, and machine-learning approaches. Drug Saf 42(6):743–750

    Article  PubMed  Google Scholar 

  39. McAdams MA, Governale LA, Swartz L, Hammad TA, Dal Pan GJ (2008) Identifying patterns of adverse event reporting for four members of the angiotensin II receptor blockers class of drugs: revisiting the Weber effect. Pharmacoepidemiol Drug Saf 17(9):882–889

    Article  PubMed  Google Scholar 

  40. Wheelock KM, Ross JS, Murugiah K, Lin Z, Krumholz HM, Khera R (2021) Clinician Trends in prescribing direct oral anticoagulants for US Medicare beneficiaries. JAMA Netw Open 4(12):e2137288–e2137288

    Article  PubMed  PubMed Central  Google Scholar 

  41. Duvalyan A, Pandey A, Vaduganathan M et al (2021) Trends in Anticoagulation prescription spending among Medicare Part D and Medicaid beneficiaries between 2014 and 2019. J Am Heart Association 10(24):e022644

    Article  Google Scholar 

  42. Joy M, Williams J, Emanuel S et al (2022) Trends in direct oral anticoagulant (DOAC) prescribing in English primary care (2014–2019). Heart :heartjnl–2022

  43. Perreault S, de Denus S, White-Guay B et al (2020) Oral anticoagulant prescription Trends, Profile Use, and determinants of adherence in patients with Atrial Fibrillation. Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy 40(1):40–54

    Article  CAS  Google Scholar 

  44. Ortel TL, Neumann I, Ageno W et al (2020) American Society of Hematology 2020 guidelines for management of venous thromboembolism: treatment of deep vein thrombosis and pulmonary embolism. Blood Adv 4(19):4693–4738

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Ardeshirrouhanifard S, An H, Goyal RK et al (2022) Use of oral anticoagulants among individuals with cancer and atrial fibrillation in the United States, 2010–2016. Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy 42(5):375–386

    Article  CAS  Google Scholar 

  46. Costa OS, Kohn CG, Kuderer NM, Lyman GH, Bunz TJ, Coleman CI (2020) Effectiveness and safety of rivaroxaban compared with low-molecular-weight heparin in cancer-associated thromboembolism. Blood Adv 4(17):4045–4051

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  47. Agnelli G, Becattini C, Meyer G et al (2020) Apixaban for the treatment of venous Thromboembolism Associated with Cancer. N Engl J Med 382(17):1599–1607

    Article  CAS  PubMed  Google Scholar 

  48. Raskob GE, van Es N, Verhamme P et al (2017) Edoxaban for the treatment of Cancer-Associated venous thromboembolism. N Engl J Med 378(7):615–624

    Article  PubMed  Google Scholar 

  49. Julia S, James U (2017) Direct oral anticoagulants: a Quick Guide. Eur Cardiol 12(1):40–45

    Article  PubMed  PubMed Central  Google Scholar 

  50. Otten LS, Piet B, van den Heuvel MM et al (2022) Practical recommendations to combine small-molecule inhibitors and direct oral anticoagulants in patients with nonsmall cell lung cancer. Eur Respir Rev ;31(164)

  51. Gundabolu K (2017) Anticoagulants could be a victim of Enzalutamide. J Oncol Pract 13(11):730–731

    Article  PubMed  Google Scholar 

  52. Al-Samkari H, Connors JM (2017) Anticoagulation and enzalutamide: caution over Convenience. J Oncol Pract 13(11):728–729

    Article  PubMed  Google Scholar 

  53. Shatzel JJ, Daughety MM, Olson SR, Beer TM, DeLoughery TG (2017) Management of anticoagulation in patients with prostate Cancer receiving Enzalutamide. J Oncol Pract 13(11):720–727

    Article  PubMed  Google Scholar 

  54. Bellet M, Ahmad F, Villanueva R et al (2019) Palbociclib and ribociclib in breast cancer: consensus workshop on the management of concomitant medication. Therapeutic Adv Med Oncol 11:1758835919833867

    CAS  Google Scholar 

  55. Gulikers JL, Slikkerveer M, Winckers K et al (2022) Case report: drug-drug interaction between alectinib and apixaban in NSCLC. Curr Probl Cancer: Case Rep 7:100186

    Google Scholar 

  56. Santini D, Citarella F, Vincenzi B, Russano M, Tonini G, Stellato M (2019) Cabozantinib and apixaban: an hitherto unreported interaction. Experimental Hematol Oncol 8(1):22

    Article  Google Scholar 

  57. Kravchenko OV, Boyce RD, Gomez-Lumbreras A et al (2022) Drug–drug interaction between dexamethasone and direct-acting oral anticoagulants: a nested case–control study in the National COVID Cohort Collaborative (N3C). BMJ Open 12(12):e066846

    Article  PubMed  PubMed Central  Google Scholar 

  58. Iyer GS, Tesfaye H, Khan NF, Zakoul H, Bykov K (2023) Trends in the use of oral anticoagulants for adults with venous thromboembolism in the US, 2010–2020. JAMA Netw Open 6(3):e234059–e234059

    Article  PubMed  PubMed Central  Google Scholar 

  59. Kremers P (2002) In vitro tests for Predicting Drug-Drug interactions: the need for validated procedures. Pharmacol Toxicol 91(5):209–217

    Article  CAS  PubMed  Google Scholar 

  60. Puma Biotechnology Inc (2022) NERLYNX (neratinib) [package insert]. https://www.accessdata.fda.gov/drugsatfda_docs/label/2017/208051s000lbl.pdf. Accessed December 13, 2022

  61. Dhopeshwarkar N, Yang W, Hennessy S, Rhodes JM, Cuker A, Leonard CE (2022) Bleeding with concomitant ibrutinib and oral anticoagulant therapy: A population-based cohort study. American Journal of Hematology ;n/a(n/a)

  62. Ferri N, Colombo E, Tenconi M, Baldessin L, Corsini A (2022) Drug-drug interactions of direct oral anticoagulants (DOACs): from pharmacological to clinical practice. Pharmaceutics 14(6). https://doi.org/10.3390/pharmaceutics14061120

  63. Tufano A, Galderisi M, Esposito L et al (2018) Anticancer Drug-Related Nonvalvular Atrial Fibrillation: Challenges in Management and Antithrombotic strategies. Semin Thromb Hemost 44(04):388–396

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Ms. Adelia Grabowsky, health sciences librarian at Auburn University, for her help in getting access to MedDRA dictionary version 25.0.

Funding

This research did not receive extramural funding from public, commercial, or not-for-profit funding agencies.

Author information

Authors and Affiliations

Authors

Contributions

Truong: Conceptualization; Data curation; Formal analysis; Methodology; Writing - original draft. Hornsby: Methodology; Validation; Writing - review and editing. Fox: Methodology; Validation; Writing - review and editing. Chou: Methodology; Validation; Writing - review and editing. Zheng: Methodology; Validation; Writing - review and editing. Qian: Conceptualization; Methodology; Supervision; Validation; Writing - review and editing.

Corresponding author

Correspondence to Jingjing Qian.

Ethics declarations

Conflict of interest

No conflicts of interest to report for all authors.

Ethics approval

The study was granted an exemption by the Auburn University institutional review board (IRB), and the analysis was performed per the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards.

Patient consent statement

not applicable.

Permission to reproduce material from other sources

not applicable.

Clinical trial registration

not applicable.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Supplementary Material 2

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Truong, B., Hornsby, L., Fox, B.I. et al. Screening for clinically relevant drug-drug interactions between direct oral anticoagulants and antineoplastic agents: a pharmacovigilance approach. J Thromb Thrombolysis 56, 555–567 (2023). https://doi.org/10.1007/s11239-023-02879-7

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11239-023-02879-7

Keywords

Navigation