Evidence map›Paper›PMID 36238360›Full record

ArticleOncology letters2022

Concurrent TP53 mutations predict a poor prognosis of EGFR-mutant NSCLCs treated with TKIs: An updated systematic review and meta-analysis.

Bo Lan, Na Zhao, Kang Du, Baolang Leng

Abstract read
In one paragraph

Article in Oncology letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Feasibility of Early DynamicMolecular imaging and biology · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Prevalence ofTranslational lung cancer research · 2025
    Article
  13. 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
  14. Article
  15. Article
  16. Article
  17. 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

4 authors.

Bo LanDepartment of Respiratory Medicine, The Third People's Hospital of Hangzhou, Hangzhou, Zhejiang 310000, P.R. China.
Na ZhaoDepartment of Respiratory Medicine, The Third People's Hospital of Hangzhou, Hangzhou, Zhejiang 310000, P.R. China.
Kang DuDepartment of Respiratory Medicine, The Third People's Hospital of Hangzhou, Hangzhou, Zhejiang 310000, P.R. China.
Baolang LengDepartment of Respiratory Medicine, The Third People's Hospital of Hangzhou, Hangzhou, Zhejiang 310000, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognostic value of tumor protein P53 (TP53) mutation for tyrosine kinase inhibitor (TKI) treatment in EGFR-mutant non-small-cell lung cancer (NSCLC) remains controversial. Therefore, the present meta-analysis was performed to investigate the potential association between the prognosis of TKI treatment for patients with advanced EGFR mutation-positive NSCLC and the presence or absence of concurrent TP53 mutations. In the present study, 24 eligible studies from the PubMed, Embase and Cochrane databases were identified by screening prior to inclusion. Data were extracted by two independent investigators and analyzed using STATA 14.0 software. Pooled odds ratios (ORs) with 95% confidence interval (CIs) were used to determine the association between objective response rates (ORRs) and TP53 mutations. In addition, differences in the incidence of TP53 mutations between patients with exon 21 L858R mutations and exon 19 deletions of EGFR were evaluated using this method. Pooled hazard ratios (HRs) with 95% CIs were used to calculate the prognostic value of TP53 mutations for progression-free survival (PFS) and overall survival (OS). No significant difference in the incidence of TP53 mutations was detected between the patients with exon 21 L858R mutation and those with exon 19 deletion (OR=0.91; 95% CI=0.65-1.27; P=0.568). However, the pooled results revealed that TP53 mutations were significantly associated with shorter PFS (HR=1.51; 95% CI=1.33-1.71; P<0.001) and OS (HR=1.64; 95% CI=1.33-2.02; P<0.001). By contrast, TP mutations were not associated with the ORR of EGFR-TKI treatment (OR=0.91; 95% CI=0.69-1.21; P=0.529). In conclusion, a worse prognosis for TKI treatment was observed in patients with EGFR-mutant NSCLCs and concurrent TP53 mutations, suggesting that TP53 mutations is associated with primary resistance to EGFR-TKIs.

Indexed as

EGFRNSCLCTKIsTP53

Identifiers

PMID36238360
PMCPMC9494618

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.