Evidence map›Paper›PMID 41275012›Full record

ArticleBritish journal of cancer2026

Systemic activation and tissue infiltration of CD8 + CX3CR1 + T cells in non-small cell lung cancer treated with neoadjuvant immune checkpoint blockade.

Sisi Dai, Yongcheng Liu, Tingting Guo, Hong Luo, Guanglei Yang, Songliang Yu, Sifan Zhang, Lili Jiang, Jie Liu, Ye Wang and 2 more

Abstract read
In one paragraph

Article in British journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Sisi Dai *Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yongcheng Liu *Institute of Thoracic Oncology, Frontiers Science Center for Disease-related Molecular Networks, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Tingting Guo *Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Hong Luo *Departments of Obstetrics and Gynecology and Pediatrics, West China Second University Hospital, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, Development and Related Diseases of Women and Children Key Laboratory of Sichuan Province, Sichuan University, Chengdu, Sichuan, China.
Guanglei YangInstitute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Songliang YuInstitute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Sifan ZhangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, State Key Laboratory of Respiratory Health and Multimorbidity, Sichuan University, Chengdu, Sichuan, China.
Lili JiangDepartment of Pathology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jie LiuCenter for Infectious Disease and Vaccine Research, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Ye WangDepartment of Pulmonary and Critical Care Medicine, West China Hospital, State Key Laboratory of Respiratory Health and Multimorbidity, Sichuan University, Chengdu, Sichuan, China. wangye@wchscu.cn.
Daxing ZhuLung Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, China. zhudaxing@wchscu.cn.
Xuyu CaiInstitute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China. epigenome24@163.com.ORCID http://orcid.org/0000-0003-1590-7505

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81972911
6 · The paper itself

Abstract

backgroundNeoadjuvant immune checkpoint blockade (NA-ICB) shows promise in treating resectable and locally advanced non-small cell lung cancer (NSCLC), yet the specific T cell subtypes that expand and become functionally reactivated remain incompletely characterised.

methodsWe applied single-cell RNA sequencing, TCR repertoire analysis, and flow cytometry to tumour, paired normal lung tissue, and peripheral blood samples from 26 NA-ICB-treated and 14 treatment-naïve NSCLC patients to investigate responsive T cell subtypes, their tissue origins, migration patterns, and phenotype transitions.

resultsCD8 + CX3CR1 + T cells were significantly enriched in responsive tumours, as evidenced by increased proportions (p = 0.0027) and clonal expansion in scRNA-seq, and elevated protein-level frequencies detected by flow cytometry (p = 0.021). Longitudinal analysis revealed proliferation of these cells in peripheral blood post-treatment. Shared TCR clonotypes were identified across blood and tumour samples. Pseudotime analysis indicated differentiation of these cells into exhausted and cytotoxic NK-like CD8 + T cells upon tumour infiltration.

conclusionThese findings suggest that CD8 + CX3CR1 + T cells may represent circulating cytotoxic precursors associated with effective NA-ICB responses, suggesting their potential as predictive biomarkers and therapeutic targets for adoptive cell therapy.

Indexed as

Carcinoma, Non-Small-Cell LungCD8-Positive T-LymphocytesCX3C Chemokine Receptor 1Immune Checkpoint InhibitorsLung NeoplasmsLymphocytes, Tumor-InfiltratingAgedFemaleHumansMaleMiddle AgedNeoadjuvant TherapyCX3C Chemokine Receptor 1CX3CR1 protein, humanImmune Checkpoint Inhibitors

Identifiers

PMID41275012
PMCPMC12852657

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.