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Prognostic impact of sarcopenia and blood biomarkers in advanced non-small cell lung cancer on first-line immune checkpoint inhibitors
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  • Published: 19 March 2026

Prognostic impact of sarcopenia and blood biomarkers in advanced non-small cell lung cancer on first-line immune checkpoint inhibitors

  • Jieun Park1 na1,
  • Juwhan Choi2 na1,
  • Seunghun Lee2,
  • Jihyun Park3,
  • Chae Rin Kim3,
  • Yeonwoo Lee3,
  • Yulim Lee3,
  • Young Kee Shin1,3,4,5 na2 &
  • …
  • Sung Yong Lee2 na2 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biomarkers
  • Cancer
  • Immunology
  • Oncology

Abstract

Although immune checkpoint inhibitors (ICIs) have improved outcomes in advanced non-small cell lung cancer (NSCLC), the prognostic tools for programmed death-ligand 1 (PD-L1), the only approved biomarker, remain limited. We comprehensively evaluated the prognostic impact of sarcopenia and various blood biomarkers in 74 NSCLC patients receiving first-line ICIs. Sarcopenia was diagnosed using dual-energy X-ray absorptiometry. Cytokines and myokines in peripheral blood samples were assessed using Enzyme-linked immunosorbent assay (ELISA) and cytometric bead array, while lymphocyte subsets were characterized using flow cytometry. Sarcopenia group had significantly shorter progression-free survival (PFS) (P = 0.018). Sarcopenia was revealed as an independent poor prognostic factor for PFS (HR 2.63, 95% CI 1.19−5.8; P = 0.017). Patients with sarcopenia showed elevated levels of inflammatory cytokines (interleukin (IL)-6, IL-8, IL-10, IL-15, and tumor necrosis factor). Furthermore, sarcopenia index and muscle mass were negatively correlated with exhausted CD8 + T cells (CD8 + TIGIT+). The sarcopenia with high TIGIT expression group exhibited the worst prognosis (HR 3.5, P = 0.0087). Sarcopenia, immune-related blood biomarkers and high TIGIT expression were identified as independent poor prognostic factors in advanced NSCLC patients receiving first-line ICI therapy.

Data availability

The datasets used and analyzed in the current study are available from the corresponding authors upon reasonable request.

Abbreviations

ASM:

Appendicular skeletal muscle mass

BMI:

Body mass index

CI:

Confidence interval

DXA:

Dual-energy X-ray absorptiometry

EDTA:

Ethylenediaminetetraacetic acid

ELISA:

Enzyme-linked immunosorbent assay

EMT:

Epithelial-mesenchymal transition

HR:

Hazard ratio

ICI:

Immune checkpoint inhibitor

ICD:

International classification of diseases

IFN:

Interferon

IL:

Interleukin

NSCLC:

Non-small cell lung cancer

PBMC:

Peripheral blood mononuclear cell

PBS:

Phosphate-buffered saline

PD-L1:

Programmed cell death ligand 1

PFS:

Progression-free survival

PPP:

Platelet-poor plasma

RCT:

Randomized controlled trial

TNF:

Tumor necrosis factor

Treg :

T-regulatory lymphocyte

TTE :

Terminally differentiated effector T cell

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Acknowledgements

We thank all the volunteers who consented to participate in this study.

Funding

This work was supported by the National Research Foundation of Korea (NRF) grants funded by the Ministry of Education [Grant Numbers NRF-2022R1A6A1A03046247 and RS-2024-00451303] and the Ministry of Science and ICT [Grant Number RS-2024-00457079], Republic of Korea.

Author information

Author notes
  1. Jieun Park and Juwhan Choi contributed equally to this work.

  2. Young Kee Shin and Sung Yong Lee contributed equally to this work.

Authors and Affiliations

  1. Research Institute of Pharmaceutical Science, College of Pharmacy, Seoul National University, Seoul, Republic of Korea

    Jieun Park & Young Kee Shin

  2. Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, 148 Gurodong-ro, Guro-gu, Seoul, Republic of Korea

    Juwhan Choi, Seunghun Lee & Sung Yong Lee

  3. Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, Republic of Korea

    Jihyun Park, Chae Rin Kim, Yeonwoo Lee, Yulim Lee & Young Kee Shin

  4. Laboratory of Molecular Pathology and Cancer Genomics, College of Pharmacy, Seoul National University, Seoul, Republic of Korea

    Young Kee Shin

  5. Future Innovation Research Institute, Seoul National University Siheung campus, Seoul, Republic of Korea

    Young Kee Shin

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Contributions

**Jieun Park: ** Conceptualization (equal), Methodology (equal), Formal analysis (equal), Investigation (equal), Visualization (equal), Writing - Review and editing (equal). **Juwhan Choi: ** Conceptualization (equal), Methodology (equal), Formal analysis (equal), Investigation (equal), Visualization (equal), Writing - Original draft preparation (lead). **Seunghun Lee: ** Methodology (equal), Formal analysis (equal). **Jihyun Park: ** Methodology (equal), Formal analysis (equal **). Chae Rin Kim: ** Methodology (equal), Formal analysis (equal). **Yulim Lee: ** Methodology (equal), Formal analysis (equal). **Young Kee Shin: ** Conceptualization (equal), Writing - Review and editing (equal), Supervision (equal). **Sung Yong Lee: ** Conceptualization (equal), Writing - Review and editing (equal), Supervision (equal). All the authors have read and agreed to the published version of this manuscript.

Corresponding authors

Correspondence to Young Kee Shin or Sung Yong Lee.

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The authors declare no competing interests.

Generative AI and AI-assisted technologies in the writing process

During the preparation of this work, the authors used ChatGPT (OpenAI) in order to assist with English language editing. After using this tool, the authors reviewed and edited the content as needed, and take full responsibility for the content of the published article.

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Park, J., Choi, J., Lee, S. et al. Prognostic impact of sarcopenia and blood biomarkers in advanced non-small cell lung cancer on first-line immune checkpoint inhibitors. Sci Rep (2026). https://doi.org/10.1038/s41598-026-43870-5

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  • Received: 20 October 2025

  • Accepted: 06 March 2026

  • Published: 19 March 2026

  • DOI: https://doi.org/10.1038/s41598-026-43870-5

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Keywords

  • Non-small-cell lung cancer
  • T lymphocytes
  • Immunotherapy
  • Systemic inflammatory status
  • Sarcopenia
  • Prognostic biomarker
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