Evidence map›Paper›PMID 42823758›Full record

ArticleBMC cancer2026

Co-mutation landscape and prognostic impact of genomic complexity in EGFR-mutant non-small cell lung cancer.

Xiangdi Yang, Guojian Huang, Kejun Liu, Dongxia Wang, June Wang, Meixia Huang, Linxuan Huang

Abstract read
In one paragraph

Article in BMC 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

7 authors.

Xiangdi Yang *Department of Oncology, The First People's Hospital of Chenzhou, The First School of Clinical Medicine, Xiangnan University, Chenzhou, China.
Guojian Huang *Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Kejun Liu *Dongguan Institute of Clinical Cancer Research, Department of Oncology, Dongguan Key Laboratory of Precision Diagnosis and Treatment for Tumors, The Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, China.
Dongxia WangDepartment of Radiotherapy and Nuclear Medicine, Shenzhen University of Advanced Technology General Hospital, Shenzhen, China.
June WangCentral Laboratory, The Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, China.
Meixia HuangDongguan Key Laboratory of Environmental Medicine, School of Public Health, Guangdong Medical University, Dongguan, China.
Linxuan HuangDongguan Institute of Clinical Cancer Research, Department of Oncology, Dongguan Key Laboratory of Precision Diagnosis and Treatment for Tumors, The Tenth Affiliated Hospital, Southern Medical University (Dongguan People's Hospital), Dongguan, China. huanglx6295@smu.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2021B1515140031Dongguan Science and Technology of Social Development Program 20231800936452The Tenth Affiliated Hospital of Southern Medical University (Dongguan People's Hospital) Dongguan People's Hospital Z202412
6 · The paper itself

Abstract

methodsClinical and genomic data of patients with EGFR-mutant NSCLC were collected from publicly available cBioPortal cohorts. Cohort composition, stage availability, recurrent co-mutations, and study-origin heterogeneity were evaluated. Patients harboring EGFR Del19 or L858R mutations and available survival information were included for survival analyses. Genomic landscapes were analyzed using a standardized Del19/L858R survival cohort. Survival outcomes were evaluated using Kaplan-Meier curves and Cox regression models, including sensitivity analyses adjusted for study origin and available tumor stage. Co-mutation burden and TP53/ATM-defined DDR-related alterations were further assessed as exploratory prognostic features.

resultsA total of 1,024 EGFR-mutant NSCLC patients were identified. Among them, 844 patients harbored Del19 or L858R mutations. Among the 844 patients with EGFR Del19 or L858R mutations, 820 had complete survival information and were included in survival analyses (Del19, n = 429; L858R, n = 391). An apparent OS difference was observed between Del19 and L858R tumors in the pooled cBioPortal cohort; however, this association was attenuated after accounting for study-origin heterogeneity and was therefore interpreted as exploratory. TP53 mutation was the most robust adverse prognostic factor and remained independently associated with inferior survival after adjustment for study origin. PIK3CA mutation also remained associated with poorer OS in the study-origin-adjusted model, whereas EGFR subtype and CDKN2A mutation were not retained as independent prognostic factors after accounting for study-level heterogeneity. Increasing co-mutation burden was associated with progressively shorter OS. TP53/ATM-defined DDR-related alterations were associated with inferior OS in exploratory analysis, but this result was largely driven by TP53 because ATM-only alterations were rare and not significantly associated with OS.

conclusionOur study demonstrates that prognosis in EGFR-mutant NSCLC is strongly influenced by broader genomic context, particularly TP53 mutation and overall co-mutation burden. EGFR subtype-specific survival differences and TP53/ATM-defined DDR-related findings should be interpreted cautiously because of study-origin heterogeneity, incomplete clinical annotation, and the limited DDR gene definition.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMutationAgedErbB ReceptorsFemaleGenomicsHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisTumor Suppressor Protein p53EGFR protein, humanErbB ReceptorsTumor Suppressor Protein p53cBioPortalCo-mutationDNA damage responseEGFR-mutant NSCLCPrognosisTP53

Identifiers

PMID42823758
PMCPMC13628935

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.