Evidence map›Paper›PMID 42317338›Full record

ReviewFrontiers in immunology2026

Efficacy and mechanisms of immune checkpoint inhibitors in late-stage EGFR-mutated non-small cell lung cancer following targeted therapy resistance.

Jiling Niu, Wang Jing, Zongkai Liu, Yunxuan Si, Zhaidong Liu

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Jiling NiuDepartment of First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Wang JingDepartment of Oncology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Zongkai LiuDepartment of Oncology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Yunxuan SiDepartment of Oncology, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Zhaidong LiuDepartment of First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) represent the standard first-line treatment for advanced EGFR-mutated non-small cell lung cancer (NSCLC). However, as the disease progresses, targeted resistance inevitably develops. Chemoimmunotherapy, as the standard treatment for advanced NSCLC without driver gene mutations, has significantly improved patient survival. EGFR-mutant tumors exhibit unique immunogenicity compared to wild-type tumors, with heterogeneity in programmed death ligand 1(PD-L1) expression levels, tumor mutational burden (TMB), and other immune microenvironment characteristics. Therefore, we elucidate the mechanisms of immune resistance in EGFR-mutant patients and analyze the core immune mechanisms underlying EGFR-TKI resistance. We summarize the application of immune checkpoint inhibitors (ICIs) in advanced EGFR-mutant NSCLC and analyze the associated mechanisms of action.

Indexed as

Carcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmImmune Checkpoint InhibitorsLung NeoplasmsMutationAnimalsErbB ReceptorsHumansMolecular Targeted TherapyProtein Kinase InhibitorsTumor MicroenvironmentEGFR protein, humanErbB ReceptorsImmune Checkpoint InhibitorsProtein Kinase InhibitorsEGFR mutationsimmune microenvironmentimmunotherapynon-small cell lung cancerresistancetyrosine kinase inhibitors

Identifiers

PMID42317338
PMCPMC13272384

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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.