Evidence map›Paper›PMID 41351302›Full record

ArticleInternational journal of cancer2026

Genomic signature driving preinvasive to invasive processes in stage I lung adenocarcinoma.

Biqin Mou, Yishan Duan, Jing Wang, Tiantian Li, Yuwei Huo, Xia Xiao, Conghui Cui, Zhujun Deng, Qiongxia Hu, Juan Jiang and 10 more

Abstract read
In one paragraph

Article in International journal of cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

20 authors.

Biqin MouPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Yishan DuanDepartment of Respiratory and Critical Care Medicine, West China Hospital of Sichuan University, Chengdu, Sichuan Province, China.
Jing WangPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Tiantian LiPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Yuwei HuoPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Xia XiaoPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Conghui CuiPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Zhujun DengPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Qiongxia HuPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Juan JiangPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Yiwei LiangPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Sifen LuPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Xintong TaoPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Kang XiePrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Xinru XiongPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Niu ZhuPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Liyun BiPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Faqiang ZhangPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Weimin LiPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.
Bojiang ChenPrecision Medicine Center, Precision Medicine Research Center, West China Hospital, Sichuan University, Chengdu, China.

Funding

Major Research Program of the National Natural Science Foundation of China 92159302National Natural Science Foundation of China 82573349Noncommunicable Chronic Diseases-National Science and Technology Major Project from the National Health Commission of China 2023ZD0506105/2023ZD0506100Outstanding Youth Science Fund Project of Sichuan Natural Science Foundation 2024NSFJQ0051
6 · The paper itself

Abstract

Progression from minimally invasive adenocarcinoma (MIA) to invasive adenocarcinoma (IA) in lung adenocarcinoma (LUAD) is associated with a significantly worse prognosis and lacks predictive markers. The genomic molecular mechanisms of progression and genetic signatures mediating the MIA to IA transition in early-stage LUAD are still largely uncharacterized. In our study, a genomic signature driving MIA to IA was developed by 243 MIA and 532 IA stage I LUAD patients, and its ability to predict outcomes was validated in multiple cohorts. Among patients with stage I LUAD, 19 genes exhibited significant differences in frequency between MIA and IA groups, with notable enrichment in the MAPK, PI3K-Akt and ErbB pathways. A genomic signature of 11 genes associated with LUAD invasion progression, with TP53 and CDKN2A playing key functional roles, was developed and correlated with poor prognosis by internal and external cohorts (p < 0.05). The high-risk group exhibited elevated tumor mutational burden, mutation-allele tumor heterogeneity, and variant allele frequency values both in train and validation cohorts (p < 0.001). Mixed ground-glass opacity and solid nodules, predominantly larger than 1 cm, were more common in the high-risk population (p < 0.001), while the low-risk group exhibited a higher proportion of high-medium differentiated LUAD (p < 0.001). Our results reveal an 11-gene genomic signature driving invasive progression from MIA to IA associated with poor outcome in stage I LUAD patients by validating internal and external cohorts, radiological, pathological and tumor size, with potential future implications for disease monitoring, prognosis, and future therapeutic interventions.

Indexed as

Adenocarcinoma of LungBiomarkers, TumorLung NeoplasmsAgedDisease ProgressionFemaleGene Expression ProfilingHumansMaleMiddle AgedMutationNeoplasm InvasivenessNeoplasm StagingPrognosisBiomarkers, Tumorgenomic signatureinvasive adenocarcinomalung adenocarcinomaminimally invasive adenocarcinomaprognosis

Identifiers

PMID41351302
PMCPMC12875189

What OpenQuestion holds

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LicenceCC BY
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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.