Evidence map›Paper›PMID 34542660›Full record

SynthesisCancer immunology, immunotherapy : CII2022

EGFR mutation status in non-small cell lung cancer receiving PD-1/PD-L1 inhibitors and its correlation with PD-L1 expression: a meta-analysis.

Huimin Yang, Jinxiu Zhu, Rendong Xiao, Yuhang Liu, Fanglin Yu, Lin Cai, Minglian Qiu, Fei He

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Cancer immunology, immunotherapy : CII, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 16% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Huimin Yang *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350108, China.
Jinxiu Zhu *Department of Oncology, Fuzhou Pulmonary Hospital of Fujian, Fuzhou, 350001, China.
Rendong XiaoDepartment of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, China.
Yuhang LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350108, China.
Fanglin YuExperiment Center, School of Public Health, Fujian Medical University, Fuzhou, 350122, China.
Lin CaiDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350108, China.
Minglian QiuDepartment of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350001, China. qml-817@163.com.
Fei HeDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, 350108, China. i.fei.he@fjmu.edu.cn.ORCID http://orcid.org/0000-0002-9119-9056
Fujian Medical University · CNFuzhou Pulmonary Hospital of Fujian · CN

Funding

Fujian Program for Outstanding Young Researchers in University 2017B019Fujian Provincial Health Research Talents Training Programme Medical Innovation Project 2019-CX-33Fujian Provincial Health Research Talents Training Programme Youth Research Project 2019-1-58Joint Funds for the innovation of science and Technology Fujian province 2019Y9022
6 · The paper itself

Abstract

Meta-analysis was performed on the Web of Science, PubMed, Embase, and Cochrane databases to evaluate the effect of epidermal growth factor receptor (EGFR) mutation status on programmed cell death protein 1/programmed death ligand 1 (PD-1/PD-L1) immune checkpoint inhibitors, and the association between EGFR mutation status and PD-L1 expression in non-small cell lung cancer (NSCLC) patients. Pooled effect (hazard ratio/odds ratio, HR/OR) with 95% confidence interval (CI) was calculated, and the source of heterogeneity was explored by subgroup analysis and meta-regression using Stata/SE 15.0. Meta-analysis of the association between EGFR mutation status and overall survival (OS) in NSCLC with immunotherapy was calculated from four randomized controlled trials. We found that immune checkpoint inhibitors significantly prolonged OS over docetaxel overall (HR 0.71, 95% CI 0.64-0.79) and in the EGFR wild type (HR = 0.67, 95% CI = 0.60-0.75), but not in the EGFR mutant subgroup (HR = 1.11, 95% CI = 0.80-1.52). Meta-analysis of the association between EGFR mutation status and PD-L1 expression in NSCLC included 32 studies. The pooled OR and 95% CI were 0.60 (0.46-0.80), calculated by random effects model. No source of heterogeneity was found in subgroup analysis. Sensitivity analysis was carried out with a fixed model, and the influence of a single study on the pooled results showed no significant change with robust meta-analysis methods. Harbord's weighted linear regression test (P = 0.956) and Peters regression test (P = 0.489) indicated no significant publication bias. The limited benefit of single-agent PD-1/PD-L1 inhibitors in the second-line or later setting for EGFR-mutated NSCLC may be partly due to the lower expression of PD-L1.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsB7-H1 AntigenErbB ReceptorsHumansImmune Checkpoint InhibitorsMutationProgrammed Cell Death 1 ReceptorB7-H1 AntigenEGFR protein, humanErbB ReceptorsImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorEpidermal growth factor receptorImmunological therapyNon-small cell lung cancerPD-L1

Identifiers

PMID34542660
PMCPMC10991967
OpenAlexW3200680931

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.