Skip to main content

Advertisement

Log in

Predictors of duloxetine response in patients with neuropathic cancer pain: a secondary analysis of a randomized controlled trial—JORTC-PAL08 (DIRECT) study

  • Original Article
  • Published:
Supportive Care in Cancer Aims and scope Submit manuscript

Abstract

Purpose

Duloxetine has some effect against cancer neuropathic pain (CNP); however, predictors of duloxetine response are unclear. This study sought to identify predictors of duloxetine response in patients with CNP.

Methods

Patients (N = 70) with CNP unresponsive to or intolerant of opioid–pregabalin combination therapy, with a brief pain inventory-short form (BPI-SF) Item 5 score (average pain) ≥ 4, and with a total hospital anxiety and depression scale score < 20, were randomized to a duloxetine or a placebo group. Multiple linear regression analysis was conducted to identify predictors of duloxetine response as a secondary analysis with the change in the average pain score on day 10 from day 0 as the dependent variable, and the following five covariates; baseline (day 0) average pain score, baseline opioid dose, continuation/discontinuation of pregabalin, and items 20 and 21 score of the short-form McGill pain questionnaire 2 (SF-MPQ-2) as independent variables.

Results

Of the four domains (continuous pain, intermittent pain, neuropathic pain, and affective descriptors) score of SF-MPQ-2 on day 0, significant differences were observed in the neuropathic pain domain (p = 0.040) in change on the average pain between day 10 and day 0 in the duloxetine group. Multiple linear regression analysis revealed that patients with a high score for SF-MPQ-2 Item 21 (tingling pain) on day 0 had a significantly greater change in average pain between day 10 and day 0 (p = 0.046).

Conclusion

Patients with a high score for SF-MPQ-2 Item 21 might benefit more from duloxetine.

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

Abbreviations

CNP Cancer neuropathic pain:

NP Neuropathic pain

IASP International Association for the Study of Pain

BPI-SF item 5 Brief pain inventory item 5

CIPN Chemotherapy-induced peripheral neuropathy

HADS Hospital anxiety and depression scale

JORTC Japanese Organization for Research and Treatment of Cancer

PCS Pain catastrophizing scale

SF-MPQ Short-form McGill pain questionnaire

References

  1. Finnerup NB, Attal N, Haroutounian S, McNicol E, Baron R, Dworkin RH, Gilron I, Haanpää M, Hansson P, Jensen TS, Kamerman PR, Lund K, Moore A, Raja SN, Rice AS, Rowbotham M, Sena E, Siddall P, Smith BH, Wallace M (2015) Pharmacotherapy for neuropathic pain in adults: a systematic review and meta-analysis. Lancet Neurol 14:162–173. https://doi.org/10.1016/S1474-4422(14)70251-0

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Matsuoka H, Iwase S, Miyaji T et al (2019) Additive duloxetine for cancer-related neuropathic pain nonresponsive or intolerant to opioid-pregabalin therapy: a randomized controlled trial (JORTC-PAL08). J Pain Symptom Manage. https://doi.org/10.1016/j.jpainsymman.2019.06.020

  3. Maruo T, Nakae A, Maeda L, Shi K, Takahashi K, Morris S, Hosomi K, Kanatani H, Matsuzaki T, Saitoh Y (2014) Validity, reliability, and assessment sensitivity of the Japanese version of the short-form McGill pain questionnaire 2 in Japanese patients with neuropathic and non-neuropathic pain. Pain Med 15:1930–1937. https://doi.org/10.1111/pme.12468

    Article  PubMed  Google Scholar 

  4. Zigmond AS, Snaith RP (1983) The hospital anxiety and depression scale. Acta Psychiatr Scand 67:361–370

    Article  CAS  PubMed  Google Scholar 

  5. Catastrophizing Quartana PJ, Campbell CM, Edwards RR (2009) Pain catastrophizing: a critical review. Expert Rev Neurother 9:745–758. https://doi.org/10.1586/ern.09.34

    Article  PubMed  Google Scholar 

  6. Bishop SR, Warr D (2003) Coping, catastrophizing and chronic pain in breast cancer. J Behav Med. 26:265–281

    Article  PubMed  Google Scholar 

  7. Utne I, Miaskowski C, Bjordal K, Paul SM, Jakobsen G, Rustøen T (2009) Differences in the use of pain coping strategies between oncology in patients with mild vs. moderate to severe pain. J Pain Symptom Manage 38:717–726. https://doi.org/10.1016/j.jpainsymman.2009.03.005

    Article  PubMed  Google Scholar 

  8. Matsuoka H, Ishiki H, Iwase S, Koyama A, Kawaguchi T, Kizawa Y, Morita T, Matsuda Y, Miyaji T, Ariyoshi K, Yamaguchi T (2017) Study protocol for a multi-institutional, randomised, double-blinded, placebo-controlled phase III trial investigating additive efficacy of duloxetine for neuropathic cancer pain refractory to opioids and gabapentinoids: the DIRECT study. BMJ Open 7:e017280. https://doi.org/10.1136/bmjopen-2017-017280

    Article  PubMed  PubMed Central  Google Scholar 

  9. Treede RD, Jensen TS, Campbell JN et al (2008) Neuropathic pain: redefinition and a grading system for clinical and research purposes. Neurology 70:1630–1635. https://doi.org/10.1111/j.1526-4637.2009.00774.x

    Article  CAS  PubMed  Google Scholar 

  10. Atkinson TM, Mendoza TR, Sit L, Passik S, Scher HI, Cleeland C, Basch E (2010) The brief pain inventory and its “pain at its worst in the last 24 hours” item: clinical trial endpoint considerations. Pain Med 11:337–346. https://doi.org/10.1111/j.1526-4637.2009.00774.x

    Article  PubMed  Google Scholar 

  11. Kugaya A, Akechi T, Okuyama T, Okamura H, Uchitomi Y (1998) (1998) Screening for psychological distress in Japanese cancer patients. Jpn J Clin Oncol 28:333–338

    Article  CAS  PubMed  Google Scholar 

  12. Daut RL, Cleeland CS, Flanery RC (1983) Development of the Wisconsin brief pain questionnaire to assess pain in cancer and other diseases. Pain 17:197–210

    Article  CAS  PubMed  Google Scholar 

  13. Cleeland CS, Ryan KM (1994) Pain assessment: global use of the brief pain inventory. Ann Acad Med Singapore. 23:129–138

    CAS  PubMed  Google Scholar 

  14. Dworkin RH, Turk DC, Revicki DA et al (2009) Development and initial validation of an expanded and revised version of the short-form McGill pain questionnaire (SF-MPQ-2). Pain 144:35–42

    Article  PubMed  Google Scholar 

  15. Uki J, Mendoza T, Cleeland CS, Nakamura Y, Takeda F (1998) A brief cancer pain assessment tool in Japanese: the utility of the Japanese brief pain inventory--BPI-J. J Pain Symptom Manage 16:364–373

    Article  CAS  PubMed  Google Scholar 

  16. Utne I, Miaskowski C, Bjordal K et al (2009) Differences in the use of pain coping strategies between oncology inpatients with mild vs. moderate to severe pain. J Pain Symptom Manage 38:717–726. https://doi.org/10.1016/j.jpainsymman

    Article  PubMed  Google Scholar 

  17. Matsuoka H, Sakano Y (2007) Assessment of cognitive aspect of pain: development, reliability, and validation of Japanese version of pain catastrophizing scale. Jpn J Psychosoma Med 47:95–102

    Google Scholar 

  18. Lee PH (2014) Should we adjust for a confounder if empirical and theoretical criteria yield contradictory results? A simulation study. Sci Rep 15(4):6085. https://doi.org/10.1038/srep06085

    Article  CAS  Google Scholar 

  19. Martin LA, Hagen NA (1997) Neuropathic pain in cancer patients: mechanisms, syndromes, and clinical controversies. J Pain Symptom Manage 14:99–117

    Article  CAS  PubMed  Google Scholar 

  20. Swerdlow M (1980) The treatment of "shooting" pain. Postgrad Med J 56:159–161

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Geber C, Breimhorst M, Burbach B, Egenolf C, Baier B, Fechir M, Koerber J, Treede RD, Vogt T, Birklein F (2013) Pain in chemotherapy-induced neuropathy--more than neuropathic? Pain 154:2877–2887. https://doi.org/10.1016/j.pain.2013.08.028

    Article  CAS  PubMed  Google Scholar 

  22. Caraceni A, Portenoy RK (1999) An international survey of cancer pain characteristics and syndromes. IASP Task Force on Cancer Pain. International Association for the Study of Pain. Pain 82:263–274

    CAS  Google Scholar 

  23. Yarnitsky D, Granot M, Nahman-Averbuch H, Khamaisi M, Granovsky Y (2012) Conditioned pain modulation predicts duloxetine efficacy in painful diabetic neuropathy. Pain 153:1193–1198. https://doi.org/10.1016/j.pain.2012.02.021

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This work was supported by the following grants: Sasakawa Memorial Health Foundation Research Grant (Grant No.: 2013-A003), 2014-2017 Grant-in-Aid for Scientific Research (Grant-in-Aid for Young Scientists B; Grant No.: 26860486), 2014 Health Labour Sciences Research Grant (Grant for Innovative Clinical Cancer Research: H26-Innovative Cancer-General-056; Grant No.: 16ck0106059h0003), 2015-2016 Japan Agency for Medical Research and Development (AMED) award (Innovative Clinical Cancer Research; Grant No.: 17ck0106328h0001), and a 2017 Japan Agency for Medical Research and Development (AMED) award (Innovative Clinical Cancer Research; Grant No.: 18ck0106328h0002).

The authors thank in advance all the patients, investigators, and institutions involved in this study.

Author information

Authors and Affiliations

Authors

Contributions

HM, SI, TM, TK, KA, SO, HI, YM, TM, TY, and AK participated in the design of the study.

HM, HI, ES, HH, HS, AT, YM, KT, HO, YO, HT, YM, YH, YK, MO, KS, MN, and AK conducted the study.

TM, KA, SO, and TY analyzed the data.

HM, HI, YK, TM, and TY wrote the paper.

All authors contributed to writing and revising the manuscript critically, and all gave their final approval of the version to be published.

Corresponding author

Correspondence to Hiromichi Matsuoka.

Ethics declarations

Competing interests

The authors declare that they have no competing interests.

Ethics approval

The protocol was approved by the institutional review board of each study site.

Statement of informed consent

Informed consent for participation in the trial was obtained from all patients.

Sponsor detail

Sasakawa Health Foundation

Nippon Foundation Building 5F,1-2-2 Akasaka,

Minato-ku,Tokyo 107-0052, Japan

Phone: 81-3-6229-5377

Fax: 81-3-6229-5388

Health Labour Sciences Research Grant

5-3-1 Kojimachi, Chiyoda-ku, Tokyo 102-0083, Japan

Phone: 81-3-5253-4111

Ministry of Health, Labour and Welfare

1-2-2 Kasumigaseki, Chiyoda-ku, Tokyo 100-8916, Japan

Minato-ku,Tokyo 107-0052, Japan

Phone: 81-3-5253-1111

Japan Agency for Medical Research and Development

22F Yomiuri Shimbun Bldg. 1-7-1 Otemachi, Chiyoda-ku, Tokyo 100-0004 Japan

Minato-ku,Tokyo 107-0052, Japan

Phone: 81-3-6870-2221

Fax: 81-3-6870-2244

Additional information

Publisher’s note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Matsuoka, H., Iwase, S., Miyaji, T. et al. Predictors of duloxetine response in patients with neuropathic cancer pain: a secondary analysis of a randomized controlled trial—JORTC-PAL08 (DIRECT) study. Support Care Cancer 28, 2931–2939 (2020). https://doi.org/10.1007/s00520-019-05138-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00520-019-05138-9

Keywords

Navigation