Evidence map›Paper›PMID 38908857›Full record

ArticleJournal for immunotherapy of cancer2024

Understanding the dynamics of TKI-induced changes in the tumor immune microenvironment for improved therapeutic effect.

Conghua Lu, Ziyuan Gao, Di Wu, Jie Zheng, Chen Hu, Daijuan Huang, Chao He, Yihui Liu, Caiyu Lin, Tao Peng and 7 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

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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

17 authors.

Conghua Lu *Department of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Ziyuan Gao *Department of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Di Wu *Department of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Jie Zheng *Department of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Chen HuDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Daijuan HuangDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Chao HeDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Yihui LiuDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Caiyu LinDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Tao PengDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Yuanyao DouDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Yimin ZhangDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Fenfen SunDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Weiling JiangDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Guoqing YinDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China.
Rui HanDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China heyong@tmmu.edu.cn hanrui0018@163.com.
Yong HeDepartment of Respiratory Disease, Daping Hospital, Army Medical University, Chongqing, China heyong@tmmu.edu.cn hanrui0018@163.com.ORCID http://orcid.org/0000-0002-9404-798X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe dynamic interplay between tyrosine kinase inhibitors (TKIs) and the tumor immune microenvironment (TME) plays a crucial role in the therapeutic trajectory of non-small cell lung cancer (NSCLC). Understanding the functional dynamics and resistance mechanisms of TKIs is essential for advancing the treatment of NSCLC.

methodsThis study assessed the effects of short-term and long-term TKI treatments on the TME in NSCLC, particularly targeting epidermal growth factor receptor (EGFR) and anaplastic lymphoma kinase (ALK) mutations. We analyzed changes in immune cell composition, cytokine profiles, and key proteins involved in immune evasion, such as laminin subunit γ-2 (LAMC2). We also explored the use of aspirin as an adjunct therapy to modulate the TME and counteract TKI resistance.

resultsShort-term TKI treatment enhanced T cell-mediated tumor clearance, reduced immunosuppressive M2 macrophage infiltration, and downregulated LAMC2 expression. Conversely, long-term TKI treatment fostered an immunosuppressive TME, contributing to drug resistance and promoting immune escape. Differential responses were observed among various oncogenic mutations, with ALK-targeted therapies eliciting a stronger antitumor immune response compared with EGFR-targeted therapies. Notably, we found that aspirin has potential in overcoming TKI resistance by modulating the TME and enhancing T cell-mediated tumor clearance.

conclusionsThese findings offer new insights into the dynamics of TKI-induced changes in the TME, improving our understanding of NSCLC challenges. The study underscores the critical role of the TME in TKI resistance and suggests that adjunct therapies, like aspirin, may provide new strategies to enhance TKI efficacy and overcome resistance.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsProtein Kinase InhibitorsTumor MicroenvironmentAnimalsCell Line, TumorDrug Resistance, NeoplasmErbB ReceptorsFemaleHumansMiceMutationErbB ReceptorsProtein Kinase InhibitorsImmunosuppressionLung CancerTumor microenvironment - TME

Identifiers

PMID38908857
PMCPMC11328648

What OpenQuestion holds

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Registered trials

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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.