Evidence map›Paper›PMID 32743759›Full record

ArticleJournal of cancer research and clinical oncology2020

Prognostic value of TP53 co-mutation status combined with EGFR mutation in patients with lung adenocarcinoma.

Feng Wang, Ning Zhao, Ge Gao, Hong-Bin Deng, Zhi-Hui Wang, Li-Li Deng, Yu Yang, Changlian Lu

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.2field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 40 citations in OpenAlex.

  1. Prediction of EGFR-TP53 genes co-mutations in patients with lung adenocarcinoma (LUAD) byClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. The Role ofCancers · 2022
    Review
  15. Article
  16. Review
  17. Frontiers in oncology · 2022
    Article
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 1 country.

Feng WangDepartment of Oncology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, 150086, Harbin, Heilongjiang, People's Republic of China.
Ning ZhaoDepartment of Oncology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, 150086, Harbin, Heilongjiang, People's Republic of China.
Ge GaoDepartment of Thoracic Oncology, Cancer Center, West China Hospital, Chengdu, 610041, Sichuan Province, People's Republic of China.
Hong-Bin DengDental Hospital, The First Affiliated Hospital of Harbin Medical University, 23 Youzheng Road, Nangang District, 150001, Harbin, Heilongjiang, People's Republic of China.
Zhi-Hui WangDepartment of Oncology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, 150086, Harbin, Heilongjiang, People's Republic of China.
Li-Li DengDepartment of Oncology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, 150086, Harbin, Heilongjiang, People's Republic of China. dengdoctor@126.com.ORCID http://orcid.org/0000-0002-5992-326X
Yu YangDepartment of Oncology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, 150086, Harbin, Heilongjiang, People's Republic of China. yangyuyyyy@126.com.
Changlian LuShanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai, 201318, People's Republic of China. lvcl@sumhs.edu.cn.
Harbin Medical University · CNShanghai University of Medicine and Health Sciences · CN

Funding

Postdoctoral Foundation of Hei Long Jiang Province (CN) LBH-Q16143Wu Jieping Medical Foundation 320.6750.18050
6 · The paper itself

Abstract

purposeTP53/EGFR co-mutation has been reported to affect the efficacy of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) in lung adenocarcinoma (LUAD). However, its impact on survival is unclear. In this analysis, we explored the prognostic effect of TP53/EGFR co-mutation in LUAD.

methodsClinical data and transcriptome sequencing of LUAD patients with matched genomic data were downloaded from the Cancer Genome Atlas (TCGA) database for overall survival (OS) analysis. Differential expression genes (DEGs) were recognized by R software and bioconductor package. Clusterprofiler was used for functional analysis. STRING was used for estimating PPI information and plug-in CytoHubba to screen hub modules in Cytoscape. The association between tumor mutation burden (TMB) and survival was also analyzed.

resultsOS was shorter for patients carrying TP53 mutation (MUT) than that of wild type (WT) (37.7 m vs 52.8 m; p = 0.040, HR = 1.38, 95% CI 1.01-1.89). Dual TP53/EGFR-MUT was associated with inferior OS compared with the dual WT/WT cohort (38.4 m vs 51.9 m; p = 0.023, HR 1.83, 95% CI 0.95-3.52). 316 DEGs between dual TP53/EGFR-MUT and dual WT/WT samples were obtained and functional analysis made known that DEGs were strikingly enriched in regulating the metabolism of important amino acids, cell division, cell cycle regulation, cell adhesion, and extracellular matrix composition. KEGG analysis discovered that DEGs were mainly enriched in signaling pathways such as PI3K-Akt, cytokine-cytokine receptor interaction, focal adhesions, and extracellular matrix receptor interaction. PPI network suggested that GPC3, CCL28, GPR37, and NPY genes were up-regulated in dual mutation samples. OS in the high TMB cohort was significantly better than that in the low TMB in patients with TP53 MUT(43.2 m vs 32.4 m; P = 0.007, HR = 0.52, 95% CI: 0.34-0.81), as well as in the combination of TP53 MUT and EGFR WT group (44.4 m vs 31.2 m; P = 0.021, HR = 0.55, 95% CI 0.34 - 0.89).

conclusionsTP53 MUT is a poor prognostic factor in LUAD patients, and the prognosis of TP53/EGFR co-mutation is worse. GPC3, CCL28, GPR37, and NPY may be novel prognostic markers and potential therapeutic targets for patients with dual TP53/EGFR mutation LUAD.

Indexed as

Adenocarcinoma of LungAdultAgedAged, 80 and overErbB ReceptorsFemaleGenes, erbB-1HumansLung NeoplasmsMaleMiddle AgedMutationPrognosisRetrospective StudiesSurvival AnalysisTumor Suppressor Protein p53EGFR protein, humanErbB ReceptorsTP53 protein, humanTumor Suppressor Protein p53Co-mutationEGFRLUADSNPsTMBTP53

Identifiers

PMID32743759
PMCPMC11804661
OpenAlexW3046313638

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.