Cited by 230Lung Cancer Treatments and MutationsLung Cancer Diagnosis and TreatmentLung Cancer Research Studies

Prognostic and predictive effects of TP53 co-mutation in patients with EGFR -mutated non-small cell lung cancer (NSCLC)

Labbé, Catherine, Cabanero, Michael, Korpanty, Grzegorz J., Tomasini, Pascale, Doherty, Mark K., Mascaux, Céline, Jao, Kevin, Pitcher, Bethany +9 more·2017·Lung Cancer

Abstract

Introduction TP53 mutations are common in non-small cell lung cancer (NSCLC) and have been reported as prognostic of poor outcome. The impact of TP53 co-mutations in epidermal growth factor receptor (EGFR)-mutated NSCLC is unclear.Materials and methods Tissue from 105 patients with EGFR-mutated NSCLC at Princess Margaret Cancer Centre was analyzed by next-generation or Sanger sequencing to determine TP53 mutational status. Associations between TP53 status and baseline patient and tumor characteristics, treatments and outcomes (relapse-free survival [RFS] after surgical resection, overall survival [OS], overall response rate [ORR] and progression-free survival [PFS] on EGFR tyrosine kinase inhibitors [TKIs]), were investigated.Results Dual TP53/EGFR mutations were found in 43/105 patients (41%). Among 76 patients who underwent surgical resection, neither RFS (HR 0.99, CI 0.56-1.75, p=0.96) nor OS (HR 1.39, CI 0.70-2.77; p=0.35) was associated with TP53 status. Sixty patients (24 TP53 MUT; 36 TP53 WT) received first-generation EGFR TKIs for advanced disease. ORR was not significantly different (TP53 MUT 54%, WT 66%, p=0.42). There was a non-significant trend towards shorter PFS on EGFR TKIs with TP53 mutation (HR 1.74, CI 0.98-3.10, p=0.06). When limited to TP53 missense mutations (n=17), PFS was significantly shorter (HR 1.91, CI 1.01-3.60, p=0.04). Among 11 evaluable patients treated with T790M inhibitors, ORR was not significantly different (TP53 MUT 3/3 [100%], WT 7/8 [88%]).Conclusions Patients with dual TP53/EGFR mutations, especially missense mutations, had marginally lower response rates and shorter PFS when treated with EGFR TKI therapy. Larger datasets are required to validate these observations.

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Crossref · 10.1016/j.lungcan.2017.06.014

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Authors
Labbé, C., Cabanero, M., Korpanty, G. J., Tomasini, P., Doherty, M. K., Mascaux, C., Jao, K., Pitcher, B., Wang, R., Pintilie, M., Leighl, N. B., Feld, R., Liu, G., Bradbury, P. A., Kamel-Reid, S., Tsao, M.-S., & Shepherd, F. A.
Affiliations
  • University Health Network (CA)
  • Queen's University (CA)
  • Aix-Marseille Université (FR)
  • Sunnybrook Health Science Centre (CA)
  • Hôpital du Sacré-Cœur de Montréal (CA)
Corresponding author
  • Labbé, Catherine
  • Korpanty, Grzegorz J.
  • Tomasini, Pascale
  • Doherty, Mark K.
  • Mascaux, Céline
  • Jao, Kevin
  • Pitcher, Bethany
  • Wang, Rick
  • Pintilie, Melania
  • Leighl, Natasha B.
  • Feld, Ronald
  • Liu, Geoffrey
  • Bradbury, Penelope Ann
  • Tsao, Ming-Sound
  • Shepherd, Frances A.
Venue
Lung Cancer
Publisher
Elsevier BV
Published
2017-09
Volume
111
Pages
23-29
ISSN
0169-5002 (ISSN-L)
OpenAlex
W2655216406
Cited by
230
References
7
Citations by year
2026: 9 · 2025: 16 · 2024: 14 · 2023: 33 · 2022: 37 · 2021: 35 · 2020: 44 · 2019: 23 · 2018: 17 · 2017: 2
FWCI
19.53
Type
journal article
Language
en
Open access
closed
Locations
  • Lung Cancer (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
  • Health Sciences › Medicine › Oncology › Lung Cancer Research Studies
Keywords
TP53 mutation, EGFR mutation, non-small cell lung cancer, EGFR tyrosine kinase inhibitors, progression-free survival, overall response rate, prognostic factors, predictive biomarkers, TP53 missense mutations, relapse-free survival, overall survival, EGFR-mutant non-small cell lung cancer
MeSH terms
Aged, Aged, 80 and over, Carcinoma, Non-Small-Cell Lung, Combined Modality Therapy, Exons, Female, Humans, Lung Neoplasms, Male, Middle Aged, Mutation, Neoplasm Staging, Neoplasms, Prognosis, Survival Analysis, Tumor Suppressor Protein p53, Treatment Outcome, Safety Management, Kaplan-Meier Estimate, ErbB Receptors

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