A propensity score-matched analysis of the impact of statin therapy on the outcomes of patients with non-small-cell lung cancer receiving anti-PD-1 monotherapy: a multicenter retrospective study

Kazuki Takada, Mototsugu Shimokawa, Shinkichi Takamori, Shinichiro Shimamatsu, Fumihiko Hirai, Tetsuzo Tagawa, Tatsuro Okamoto, Motoharu Hamatake, Yuko Tsuchiya-Kawano, Kohei Otsubo, Koji Inoue, Yasuto Yoneshima, Kentaro Tanaka, Isamu Okamoto, Yoichi Nakanishi, Masaki Mori

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Background: Many studies have recently reported the association of concomitant medications with the response and survival in patients with non-small-cell lung cancer (NSCLC) treated with cancer immunotherapy. However, the clinical impact of statin therapy on the outcome of cancer immunotherapy in patients with NSCLC is poorly understood. Methods: In our database, we retrospectively identified and enrolled 390 patients with advanced or recurrent NSCLC who were treated with anti-programmed cell death-1 (PD-1) monotherapy in clinical practice between January 2016 and December 2019 at 3 medical centers in Japan to examine the clinical impact of statin therapy on the survival of patients with NSCLC receiving anti-PD-1 monotherapy. A propensity score-matched analysis was conducted to minimize the bias arising from the patients’ backgrounds. Results: The Kaplan–Meier curves of the propensity score-matched cohort showed that the overall survival (OS), but not the progression-free survival (PFS), was significantly longer in patients receiving statin therapy. However, a Cox regression analysis in the propensity score-matched cohort revealed that statin therapy was not an independent favorable prognostic factor, although it tended to be correlated with a favorable outcome. Conclusions: Statin therapy may be a combination tool for cancer immunotherapy in patients with NSCLC. These findings should be validated in further prospective studies with larger sample sizes.

Original languageEnglish
Article number503
JournalBMC Cancer
Volume22
Issue number1
DOIs
Publication statusPublished - Dec 2022
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Oncology
  • Genetics
  • Cancer Research

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