Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster session 06

2098P - The impact of concomitant use of non-opioid analgesics and immune checkpoint inhibitors on survival in lung cancer patients: A Hong Kong population-based cohort study

Date

21 Oct 2023

Session

Poster session 06

Topics

Supportive Care and Symptom Management;  Tumour Immunology;  Immunotherapy

Tumour Site

Non-Small Cell Lung Cancer

Presenters

Zheng-Hao Ye

Citation

Annals of Oncology (2023) 34 (suppl_2): S1080-S1134. 10.1016/S0923-7534(23)01268-1

Authors

Z. Ye1, S. Wang1, J. Zhang2, T.T.L. Lee3, A.K.C. Wai3, F. Kong1

Author affiliations

  • 1 Clinical Oncology, The University of Hong Kong - Li Ka Shing Faculty of Medicine, 999077 - Hong Kong/CN
  • 2 State Key Laboratory Of Ultrasound In Medicine And Engineering, Chongqing Medical University, 400000 - Chongqing/CN
  • 3 Emergency Medicine, The University of Hong Kong - Li Ka Shing Faculty of Medicine, 999077 - Hong Kong/HK

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 2098P

Background

Pain is one of the most common symptoms experienced by advanced staged lung cancer patients. Non-opioid analgesics like acetaminophen and nonsteroidal anti-inflammatory drugs (NSAIDs) have been the cornerstone of pharmacologic interventions for cancer pain management in lung cancer. Since cyclooxygenase-2 (COX2) is overexpressed in many solid tumors including lung cancer and is associated with poor prognosis, COX inhibitions such as NSAIDs have been the candidate for adjuvant therapy for lung cancer. Yet the results of previous studies regarding the concomitant use of immune checkpoint inhibitors (ICIs) and non-opioid analgesics remained controversial mostly for their small sample size. This study aims to investigate whether the concomitant use of NSAIDs with ICIs can improve the survival of lung cancer compared to acetaminophen.

Methods

A total of 572 lung cancer patients who received concomitant use of non-opioid analgesics and ICI from 2018 to 2020 were identified within the Clinical Data Analysis and Reporting System of Hong Kong. Inverse probability of treatment weighting (IPTW) –adjusted Kaplan-Meier curves and Cox proportional hazards regression analysis were used to compare the overall survival (OS) of patients who received NSAIDs versus acetaminophen.

Results

Overall, 428 (74.8%) and 144 (25.2%) patients with lung cancer received concomitant ICI with acetaminophen and NSAIDs, respectively. The median follow-up time in the weighted population was 39.1 months (95% CI, 36.6-43.5 months). IPTW-adjusted Kaplan-Meier curves showed that the median OS was significantly longer in the NSAIDs group than in the acetaminophen group (15.4 months vs 10 months, p = 0.03). In IPTW-adjusted Cox regression analysis, the concomitant use of NSAIDs with ICI was associated with a significant OS benefit (HR = 0.76, 95% CI: 0.61-0.96, p = 0.02).

Conclusions

The concomitant use of NSAIDs with ICI was associated with improved survival in patients with lung cancer compared with that of acetaminophen. Our findings suggest that a more cautious combination of non-opioid analgesics with ICI for cancer pain management in lung cancer is warranted.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.