RBM17 Expression Is Associated With the Efficacy of ICI Monotherapy in NSCLC With Low PD-L1 Expression

Hiroaki Nagamine, Masakazu Yashiro, Naoki Yoshimoto, Motohiro Izumi, Akira Sugimoto, Kenji Nakahama, Koichi Ogawa, Yoshiya Matsumoto, Kenji Sawa, Yoko Tani, Hiroyasu Kaneda, Shigeki Mitsuoka, Kazuhiro Yamada, Tetsuya Watanabe, Kazuhisa Aasai, Kazuhiro Fukumura, Akila Mayeda, Tomoya Kawaguchi

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Abstract

Background/Aim: Immune checkpoint inhibitors (ICIs) are currently a standard treatment tool for non-small cell lung cancer (NSCLC). RNA-binding motif protein 17 (RBM17), a splicing factor, is frequently over-expressed in NSCLC, but little is known about the role of RBM17 in the efficacy of ICIs for NSCLC. Thus, we investigated the correlation between RBM17 expression and ICI efficacy in NSCLC. Patients and Methods: Biopsy or surgical specimens were collected from patients with advanced or recurrent NSCLC who received ICI monotherapy or chemoimmunotherapy in a first-line setting. RBM17 expression was examined using immunohistochemistry. The correlation between the efficacy of ICI monotherapy or chemoimmunotherapy and RBM17 expression was evaluated. Results: Among the 218 cases, 115 (52.8%) cases were positive for RBM17 expression. RBM17 expression was not associated with the objective response rate (ORR) or progression-free survival (PFS) in either of the ICI monotherapy or chemo-immunotherapy groups. However, among those with a low PD-L1 expression level (PD-L1 <50%; n=86), RBM17 expression was significantly associated with a better ORR (p=0.045) and a better PFS (p<0.001) in the ICI monotherapy group, and was significantly associated with a poor ORR in the chemo-immunotherapy group (p=0.041). Conclusion: RBM17 might be a useful predictive marker for a higher efficacy of ICI monotherapy in NSCLC patients with a low PD-L1 expression level.

Original languageEnglish
Pages (from-to)4663-4672
Number of pages10
JournalAnticancer research
Volume43
Issue number10
DOIs
Publication statusPublished - 10-2023

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

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