Evidence map›Paper›PMID 41345544›Full record

ArticleCell research2025

Genomic and transcriptomic dynamics in the stepwise progression of lung adenocarcinoma.

Fangqiu Fu, Jun Shang, Yueren Yan, He Jiang, Han Han, Hui Yuan, Zhendong Gao, Jingcheng Yang, Jian Gao, Jun Wang and 14 more

Abstract read
In one paragraph

Article in Cell research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Over- and underscreening for lung cancer.Translational lung cancer research · 2026
    Review
  3. Review
  4. Review
  5. Neuro-tumor interactions in peripheral tumors.Cancer metastasis reviews · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

24 authors.

Fangqiu Fu *Department of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Jun Shang *Department of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.ORCID 0000-0002-5767-1492
Yueren Yan *Department of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
He Jiang *State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China.ORCID 0000-0003-0673-0605
Han Han *Department of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Hui Yuan *Department of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhendong GaoDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Jingcheng YangState Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China.
Jian GaoInternational Human Phenome Institutes (Shanghai), Shanghai, China.
Jun WangInternational Human Phenome Institutes (Shanghai), Shanghai, China.
Yunjian PanDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Yicong LinDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Ting YeDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Yiliang ZhangDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Yawei ZhangDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Jiaqing XiangDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Hong HuDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhiwei CaoInternational Human Phenome Institutes (Shanghai), Shanghai, China.ORCID 0000-0003-1165-1928
Yuanting ZhengState Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China.
Yuan LiDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Yang ZhangDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China.
Li JinState Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China. lijin@fudan.edu.cn.
Leming ShiState Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China. lemingshi@fudan.edu.cn.ORCID 0000-0002-2981-4150
Haiquan ChenDepartment of Thoracic Surgery and State Key Laboratory of Genetics and Development of Complex Phenotypes, Fudan University Shanghai Cancer Center, Shanghai, China. hqchen1@yahoo.com.ORCID 0000-0001-7846-257X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82373309National Natural Science Foundation of China (National Science Foundation of China) 82430099
6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD) progresses from pre-invasive to invasive stages, as well as from ground-glass opacities (GGOs) to solid nodules. However, the dynamic genomic and transcriptomic changes underlying LUAD progression are incompletely understood. Here, we performed whole-genome and transcriptome sequencing on 1008 LUAD samples from 954 patients who underwent surgery at Fudan University Shanghai Cancer Center, with comprehensive follow-up data. There was one atypical adenomatous hyperplasia, 42 adenocarcinomas in situ, 116 minimally invasive adenocarcinomas, and 849 invasive adenocarcinomas spanning all pathological stages. EGFR was the most frequently mutated gene in the study cohort, followed by TP53, RBM10, KRAS, and KMT2D. Mutation frequencies of tumor suppressor genes, such as TP53, RB1, MGA, KEAP1, and STK11, increased as the disease progressed to higher stages. A higher level of genomic instability was seen in LUAD compared with AAH/AIS/MIA samples, characterized by a higher tumor mutation burden, increased somatic copy number alteration burden, and increased structural variation burden. Notably, MAP2K1 E102-I103 deletion was frequently observed in pre-invasive samples, which endowed alveolar type II cells with increased growth potential and initiated tumor formation, suggesting that it is a potential driver mutation of LUAD. In summary, our study highlights key molecular changes during the stepwise progression of LUAD, provides insights into the identification of novel therapeutic targets, and helps to define the curative time window for this disease.

Indexed as

Adenocarcinoma of LungLung NeoplasmsTranscriptomeAgedDisease ProgressionFemaleGene Expression Regulation, NeoplasticGenomic InstabilityGenomicsHumansMaleMiddle AgedMutation

Identifiers

PMID41345544
PMCPMC12689645

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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.