Prospective validation study of nutritional and immunological predictors in immune checkpoint inhibitor efficacy for non‐small cell lung cancer

Immune checkpoint inhibitors (ICIs) have improved prognosis in non-small cell lung cancer (NSCLC). This prospective observational study aimed to validate the clinical impact of nutritional and immunological indices, including neutrophil-to-lymphocyte ratio (NLR), Glasgow prognostic score (GPS), prognostic nutritional index (PNI), controlling nutritional status (CONUT), and skeletal muscle area (SMA) in NSCLC patients treated with first-line ICIs. Three hundred and one patients with programmed cell death-ligand 1 (PD-L1) expression data were enrolled. SMA was measured using computed tomography images at the L3 level. Cut-off values were determined by our previous retrospective reports. The primary endpoint was progression-free survival (PFS). As a translational research, 15 myokines were evaluated from pre-treatment blood samples. The NLR, GPS, PNI, CONUT, and SMA were all significantly associated with PFS (p = .0128, p = .0016, p = .0046, p = .0485, and p = .0161, respectively). Multivariate analysis elucidated that age ≥75 years (p = .0256), male sex (p = .0227), combined chemotherapy (p = .0002), PD-L1 ≥50% (p = .0017), and SMA (p = .0354) were significant predictors of objective response. Multivariate analysis of PFS showed that performance status (p = .0104), PD-L1 (p <.0001), GPS (p = .0042), and SMA (p = .0367) were independent predictors. FSTL-1 was significantly lower in non-responders than in responders (p = .0212). In conclusion, the nutritional and immunological indices were validated to be significant predictors for the efficacy of ICIs. SMA was a predictor of both objective response and PFS, highlighting FSTL-1 as a potential biomarker for response to ICIs.

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Publication Details

Journal
International Journal of Cancer
Published
2025-10-26
DOI
https://doi.org/10.1002/ijc.70170
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
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article

Prospective validation study of nutritional and immunological predictors in immune checkpoint inhibitor efficacy for non‐small cell lung cancer

Mitsuhiro Takenoyama, Yoshifumi Nishimura, Toshiyuki Kita, Mototsugu Shimokawa et al.
International Journal of Cancer
Inflammatory Biomarkers in Disease Prognosis
article

Prospective validation study of nutritional and immunological predictors in immune checkpoint inhibitor efficacy for non‐small cell lung cancer

Mitsuhiro Takenoyama, Yoshifumi Nishimura, Toshiyuki Kita, Mototsugu Shimokawa, Hidetoshi Yanai, Kenji Chibana, Keiichi Fujiwara, Katsumi Nakatomi, Masafumi Yamaguchi, Shinkichi Takamori, Shoichi Kuyama, Masaki Okamoto, Masahide Mori, Noriaki Sukoh, Nobuo Hatakeyama, Masahide Oki
article en

Abstract

Immune checkpoint inhibitors (ICIs) have improved prognosis in non-small cell lung cancer (NSCLC). This prospective observational study aimed to validate the clinical impact of nutritional and immunological indices, including neutrophil-to-lymphocyte ratio (NLR), Glasgow prognostic score (GPS), prognostic nutritional index (PNI), controlling nutritional status (CONUT), and skeletal muscle area (SMA) in NSCLC patients treated with first-line ICIs. Three hundred and one patients with programmed cell death-ligand 1 (PD-L1) expression data were enrolled. SMA was measured using computed tomography images at the L3 level. Cut-off values were determined by our previous retrospective reports. The primary endpoint was progression-free survival (PFS). As a translational research, 15 myokines were evaluated from pre-treatment blood samples. The NLR, GPS, PNI, CONUT, and SMA were all significantly associated with PFS (p = .0128, p = .0016, p = .0046, p = .0485, and p = .0161, respectively). Multivariate analysis elucidated that age ≥75 years (p = .0256), male sex (p = .0227), combined chemotherapy (p = .0002), PD-L1 ≥50% (p = .0017), and SMA (p = .0354) were significant predictors of objective response. Multivariate analysis of PFS showed that performance status (p = .0104), PD-L1 (p <.0001), GPS (p = .0042), and SMA (p = .0367) were independent predictors. FSTL-1 was significantly lower in non-responders than in responders (p = .0212). In conclusion, the nutritional and immunological indices were validated to be significant predictors for the efficacy of ICIs. SMA was a predictor of both objective response and PFS, highlighting FSTL-1 as a potential biomarker for response to ICIs.

International Journal of CancerVol. 158(3)
Kyushu University (JP), Yamaguchi University (JP), National Kyushu Medical Center (JP), National Hospital Organization Kochi National Hospital (JP), Kanazawa Medical Center (JP), National Hospital Organization Kyushu Cancer Center (JP), National Hospital Organization Mito Medical Center (JP), National Hospital Organization Hokkaido Medical Center (JP), Toneyama National Hospital (JP), Matsuyama Red Cross Hospital (JP), Higashihiroshima Medical Center (JP), Iwakuni Medical Center (JP), Ureshino Medical Center (JP), Kochi Municipal Central Hospital (JP), Okayama Medical Center (JP), Nagoya Medical Center (JP), Okinawa International University (JP)
Research Promotion Foundation, Foundation for Promotion of Cancer Research
Openalex Percentile: Top 58%
Inflammatory Biomarkers in Disease Prognosis
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