Evidence map›Paper›PMID 42265748›Full record

ArticleCancer cell international2026

A cilia-associated signature predicts resistance to anti-PD-1 immune checkpoint blockade therapy in lung adenocarcinoma.

Fei Zhou, Gaohua Feng, Xiaoshen Zhang, Changbin Zhu, Tao Jiang, Tao Hu, Wei Li, Jun Ni, Qian Li, Zhan Huang and 5 more

Abstract read
In one paragraph

Article in Cancer cell international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

15 authors.

Fei Zhou *Department of Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Gaohua Feng *Department of Pulmonary and Critical Care Medicine, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, China.
Xiaoshen Zhang *Department of Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Changbin ZhuDepartment of Medicine, Amoy Diagnostics Co., Ltd, Xiamen, China.
Tao JiangDepartment of Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Tao HuDepartment of Medicine, Amoy Diagnostics Co., Ltd, Xiamen, China.
Wei LiDepartment of Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Jun NiDepartment of Pulmonary and Critical Care Medicine, Zhangjiagang TCM Hospital Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, China.
Qian LiDepartment of Medicine, Amoy Diagnostics Co., Ltd, Xiamen, China.
Zhan HuangDepartment of Medicine, Amoy Diagnostics Co., Ltd, Xiamen, China.
Chunxia SuDepartment of Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Shengxiang RenDepartment of Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China.
Fengying WuDepartment of Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China. fywu@163.com.
Caicun ZhouDepartment of Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China. caicunzhoudr@163.com.
Guanghui GaoDepartment of Oncology, Shanghai Pulmonary Hospital & Thoracic Cancer Institute, Tongji University School of Medicine, Shanghai, China. ghgao103@tongji.edu.cn.

Funding

Clinical Research Plan of SHDC No. SHDC2020R4001Fundamental Research Funds for the Central Universities No.22120240337Shanghai Nature Science Foundation 23ZR1453500
6 · The paper itself

Abstract

backgroundTargeting immune checkpoints, specifically programmed death 1, has significantly improved clinical outcomes in non-small cell lung cancer. However, only a proportion of patients benefited from immune checkpoint blockades (ICBs) therapy. Thus, identifying novel biomarkers to better select responders to ICBs is critically important in clinical practice.

methodsThis retrospective study included two cohorts, a discovery cohort (n = 24) and a validation cohort (n = 21) of lung adenocarcinoma (LUAD) patients treated with ICB at Shanghai Pulmonary Hospital between April 2016 and November 2019. Formalin-fixed paraffin-embedded tissue samples were collected for RNA sequencing. Additionally, a TCGA dataset (GSE135222) and a clinical study dataset (POPLAR) were utilized as external validation and test sets, respectively.

resultsIn the discovery cohort, cilia-associated pathways were significantly enriched in LUAD patients with non-durable benefit. A three-gene cilia-associated signature (TMEM100, DNAH3, and NEFH) was established and effectively predicted resistance to ICB treatment (discovery cohort, Hazard Ratio [HR, 95% CI] = 0.21 [0.056-0.791], P = 3.64e-05; validation cohort, HR [95% CI] = 0.200 [0.049-0.830], P = 0.0003). This signature was further validated in an external cohort (HR [95% CI] = 0.461 [ 0.164-1.292], P = 0.067). Further analysis demonstrated that the cilia-associated signature was negatively associated with various types of tumor-infiltrating immune cells, including effector T cells, macrophages, and dendritic cells.

conclusionOur findings suggest that cilia-associated signature may serve as a potential biomarker to identify LUAD patients with reduced likelihood of benefiting from ICB therapy, though further validation in larger cohorts is warranted.

Indexed as

CiliaImmune checkpoint inhibitorLung adenocarcinomaPD-1TME

Identifiers

PMID42265748
PMCPMC13474783

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