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Digoxin use is associated with pancreatic cancer risk but does not affect survival

Abstract

Purpose

Digoxin affects several cellular pathways involved in tumorigenesis. We sought to determine the association between digoxin use and pancreatic cancer risk and survival.

Methods

A nested case–control study using The Health Improvement Network (THIN), a population-representative database from the United Kingdom (UK). Cases included all individuals with incident diagnosis of pancreatic cancer. Each case was matched to up to four controls using incidence density sampling based on age, sex, practice site, calendar time, and duration of follow-up. Exposure of interest was digoxin therapy before cancer diagnosis. Odds ratios (ORs) and 95% confidence intervals (CIs) for the association between digoxin use and pancreatic cancer risk were estimated using conditional logistic regression. We further conducted a retrospective cohort study among pancreatic cancer cases using Cox regression model in order to evaluate the association between digoxin use and overall survival.

Results

We identified 4,113 cases with incident pancreatic cancer and 16,072 matched controls. The adjusted OR for diagnosis of pancreatic cancer among active digoxin users was 1.41 (95% CI 1.16–1.72). The risk did not change among active users with duration of therapy of more than 1 year (adjusted OR of 1.39, 95% CI 1.11–1.76). Digoxin was not associated with change in overall survival with an adjusted hazard ratio of 0.97 (95% CI 0.81–1.18).

Conclusions

Digoxin use was associated with modestly increased pancreatic cancer risk but did not affect overall survival.

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Data availability

The research involves using the THIN database. The University’s licensing agreement with THIN prohibits the PI to distribute this data in whole or in part to any member not explicitly listed in the proposal. Additional information on accessing THIN can be obtained at https://www.epic-uk.org/our-data/our-data.shtml.

References

  1. Gheorghiade M, Adams KF Jr, Colucci WS (2004) Digoxin in the management of cardiovascular disorders. Circulation 109(24):2959–2964

    PubMed  Article  Google Scholar 

  2. Menger L, Vacchelli E, Kepp O et al (2013) Trial watch: Cardiac glycosides and cancer therapy. Oncoimmunology 2(2):e23082

    PubMed  PubMed Central  Article  Google Scholar 

  3. Wright JL, Hansten PD, Stanford JL (2014) Is digoxin use for cardiovascular disease associated with risk of prostate cancer? Prostate 74(1):97–102

    CAS  PubMed  Article  Google Scholar 

  4. Haux J, Klepp O, Spigset O, Tretli S (2001) Digitoxin medication and cancer; case control and internal dose-response studies. BMC Cancer 1:11

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  5. Stenkvist B (1999) Is digitalis a therapy for breast carcinoma? Oncol Rep 6(3):493–496

    CAS  PubMed  Google Scholar 

  6. Khan MI, Chesney JA, Laber DA, Miller DM (2009) Digitalis, a targeted therapy for cancer? Am J Med Sci 337(5):355–359

    PubMed  Article  Google Scholar 

  7. Menger L, Vacchelli E, Adjemian S et al (2012) Cardiac glycosides exert anticancer effects by inducing immunogenic cell death. Sci Transl Med 4(143):143ra199

    Article  CAS  Google Scholar 

  8. Sakai H, Suzuki T, Maeda M et al (2004) Up-regulation of Na(+), K(+)-ATPase alpha 3-isoform and down-regulation of the alpha1-isoform in human colorectal cancer. FEBS Lett 563(1–3):151–154

    CAS  PubMed  Article  Google Scholar 

  9. Raghavendra PB, Sreenivasan Y, Manna SK (2007) Oleandrin induces apoptosis in human, but not in murine cells: dephosphorylation of Akt, expression of FasL, and alteration of membrane fluidity. Mol Immunol 44(9):2292–2302

    CAS  PubMed  Article  Google Scholar 

  10. Wang Y, Zhan Y, Xu R, Shao R, Jiang J, Wang Z (2015) Src mediates extracellular signal-regulated kinase 1/2 activation and autophagic cell death induced by cardiac glycosides in human non-small cell lung cancer cell lines. Mol Carcinog 54(Suppl 1):E26-34

    CAS  PubMed  Article  Google Scholar 

  11. Prassas I, Karagiannis GS, Batruch I, Dimitromanolakis A, Datti A, Diamandis EP (2011) Digitoxin-induced cytotoxicity in cancer cells is mediated through distinct kinase and interferon signaling networks. Mol Cancer Ther 10(11):2083–2093

    CAS  PubMed  Article  Google Scholar 

  12. Ahern TP, Lash TL, Sorensen HT, Pedersen L (2008) Digoxin treatment is associated with an increased incidence of breast cancer: a population-based case–control study. Breast Cancer Res BCR 10(6):R102

    PubMed  Article  CAS  Google Scholar 

  13. Biggar RJ, Wohlfahrt J, Oudin A, Hjuler T, Melbye M (2011) Digoxin use and the risk of breast cancer in women. J Clin Oncol 29(16):2165–2170

    CAS  PubMed  Article  Google Scholar 

  14. Biggar RJ, Wohlfahrt J, Melbye M (2012) Digoxin use and the risk of cancers of the corpus uteri, ovary and cervix. Int J Cancer [J Int Cancer] 131(3):716–721

    CAS  Article  Google Scholar 

  15. Biggar RJ (2012) Molecular pathways: digoxin use and estrogen-sensitive cancers–risks and possible therapeutic implications. Clin Cancer Res 18(8):2133–2137

    CAS  PubMed  Article  Google Scholar 

  16. Osman MH, Farrag E, Selim M et al (2017) Cardiac glycosides use and the risk and mortality of cancer; systematic review and meta-analysis of observational studies. PLoS ONE 12(6):e0178611

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  17. Morch LS, Lidegaard O, Keiding N, Lokkegaard E, Kjaer SK (2016) The influence of hormone therapies on colon and rectal cancer. Eur J Epidemiol 31(5):481–489

    PubMed  Article  CAS  Google Scholar 

  18. Boursi B, Haynes K, Mamtani R, Yang YX (2014) Digoxin use and the risk for colorectal cancer. Pharmacoepidemiol Drug Saf 23(11):1147–1153

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  19. Becker AE, Hernandez YG, Frucht H, Lucas AL (2014) Pancreatic ductal adenocarcinoma: risk factors, screening, and early detection. World J Gastroenterol: WJG 20(32):11182–11198

    PubMed  Article  CAS  Google Scholar 

  20. Gnoni A, Licchetta A, Scarpa A et al (2013) Carcinogenesis of pancreatic adenocarcinoma: precursor lesions. Int J Mol Sci 14(10):19731–19762

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  21. Iodice S, Gandini S, Maisonneuve P, Lowenfels AB (2008) Tobacco and the risk of pancreatic cancer: a review and meta-analysis. Langenbeck’s Arch Surg 393(4):535–545

    Article  Google Scholar 

  22. Aune D, Greenwood DC, Chan DS et al (2012) Body mass index, abdominal fatness and pancreatic cancer risk: a systematic review and non-linear dose-response meta-analysis of prospective studies. Ann Oncol 23(4):843–852

    CAS  PubMed  Article  Google Scholar 

  23. Bosetti C, Rosato V, Li D et al (2014) Diabetes, antidiabetic medications, and pancreatic cancer risk: an analysis from the International Pancreatic Cancer Case-Control Consortium. Ann Oncol 25(10):2065–2072

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  24. Huxley R, Ansary-Moghaddam A, Berrington de Gonzalez A, Barzi F, Woodward M (2005) Type-II diabetes and pancreatic cancer: a meta-analysis of 36 studies. Br J Cancer 92(11):2076–2083

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  25. Genkinger JM, Spiegelman D, Anderson KE et al (2009) Alcohol intake and pancreatic cancer risk: a pooled analysis of fourteen cohort studies. Cancer Epidemiol Biomark Prev 18(3):765–776

    CAS  Article  Google Scholar 

  26. Lee E, Horn-Ross PL, Rull RP et al (2013) Reproductive factors, exogenous hormones, and pancreatic cancer risk in the CTS. Am J Epidemiol 178(9):1403–1413

    PubMed  PubMed Central  Article  Google Scholar 

  27. Chisholm J (1990) The read clinical classification. BMJ 300(6732):1092

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  28. Bourke A, Dattani H, Robinson M (2004) Feasibility study and methodology to create a quality-evaluated database of primary care data. Inform Prim Care 12(3):171–177

    PubMed  Google Scholar 

  29. Lewis JD, Schinnar R, Bilker WB, Wang X, Strom BL (2007) Validation studies of the health improvement network (THIN) database for pharmacoepidemiology research. Pharmacoepidemiol Drug Saf 16(4):393–401

    PubMed  Article  Google Scholar 

  30. Langley TE, Szatkowski L, Gibson J et al (2010) Validation of The Health Improvement Network (THIN) primary care database for monitoring prescriptions for smoking cessation medications. Pharmacoepidemiol Drug Saf 19(6):586–590

    PubMed  Article  Google Scholar 

  31. Cea Soriano L, Soriano-Gabarro M, Garcia Rodriguez LA (2016) Validity and completeness of colorectal cancer diagnoses in a primary care database in the United Kingdom. Pharmacoepidemiol Drug Saf 25(4):385–391

    PubMed  Article  Google Scholar 

  32. Lewis JD, Bilker WB, Weinstein RB, Strom BL (2005) The relationship between time since registration and measured incidence rates in the General Practice Research Database. Pharmacoepidemiol Drug Saf 14(7):443–451

    PubMed  Article  Google Scholar 

  33. Lubin JH, Gail MH (1984) Biased selection of controls for case–control analyses of cohort studies. Biometrics 40(1):63–75

    CAS  PubMed  Article  Google Scholar 

  34. Richardson DB (2004) An incidence density sampling program for nested case–control analyses. Occup Environ Med 61(12):e59

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  35. Wei D, Peng JJ, Gao H et al (2013) Digoxin downregulates NDRG1 and VEGF through the inhibition of HIF-1alpha under hypoxic conditions in human lung adenocarcinoma A549 cells. Int J Mol Sci 14(4):7273–7285

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  36. Gao C, Li S, Zhao T et al (2015) SCF, regulated by HIF-1alpha, promotes pancreatic ductal adenocarcinoma cell progression. PLoS ONE 10(3):e0121338

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  37. Meng Z, Garrett CR, Shen Y et al (2012) Prospective randomised evaluation of traditional Chinese medicine combined with chemotherapy: a randomised phase II study of wild toad extract plus gemcitabine in patients with advanced pancreatic adenocarcinomas. Br J Cancer 107(3):411–416

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  38. Haynes K, Forde KA, Schinnar R, Wong P, Strom BL, Lewis JD (2009) Cancer incidence in The Health Improvement Network. Pharmacoepidemiol Drug Saf 18(8):730–736

    PubMed  Article  Google Scholar 

  39. Lu Y, Garcia Rodriguez LA, Malgerud L et al (2015) New-onset type 2 diabetes, elevated HbA1c, anti-diabetic medications, and risk of pancreatic cancer. Br J Cancer 113(11):1607–1614

    CAS  PubMed  PubMed Central  Article  Google Scholar 

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Funding

This study was supported by the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant UL1TR000003.

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Correspondence to Ben Boursi.

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The authors declare that they have no conflicts of interest.

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Ben Boursi and Jared S. Huber contributed equally to this manuscript.

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Boursi, B., Huber, J.S., Haynes, K. et al. Digoxin use is associated with pancreatic cancer risk but does not affect survival. Cancer Causes Control 32, 41–46 (2021). https://doi.org/10.1007/s10552-020-01352-7

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  • DOI: https://doi.org/10.1007/s10552-020-01352-7

Keywords

  • Pancreatic cancer
  • Digoxin
  • Cancer survival