Literature DB >> 26899019

Prognostic and Predictive Effect of TP53 Mutations in Patients with Non-Small Cell Lung Cancer from Adjuvant Cisplatin-Based Therapy Randomized Trials: A LACE-Bio Pooled Analysis.

Xiaoli Ma1, Gwénaël Le Teuff2, Benjamin Lacas2, Ming Sound Tsao3, Stephen Graziano4, Jean-Pierre Pignon2, Jean-Yves Douillard5, Thierry Le Chevalier5, Lesley Seymour6, Martin Filipits7, Robert Pirker8, Pasi A Jänne9, Frances A Shepherd10, Elisabeth Brambilla11, Jean-Charles Soria12, Pierre Hainaut13.   

Abstract

INTRODUCTION: Tumor protein p53 gene (TP53) mutations are common in stage I through III non-small cell lung cancer, but clinical trials have shown inconsistent results regarding their relationship to the effects of adjuvant therapy. The objective is to clarify their putative prognostic and predictive effects.
METHODS: A pooled analysis of TP53 mutations (exons 5-8) was conducted in four randomized trials (the International Adjuvant Lung Cancer Trial, J BRonchus 10, Cancer and Leukemia Group B-9633, and Adjuvant Navelbine International Trialist Association trial) of platinum-based adjuvant chemotherapy (ACT) versus observation (OBS). Hazard ratios (HRs) and 95% confidence intervals (CIs) of mutant versus wild-type (WT) TP53 for overall survival (OS) and disease-free survival (DFS) were estimated using a multivariable Cox model stratified on trial and adjusted on sex, age, and clinicopathological variables. Predictive value was evaluated with an interaction between treatment and TP53.
RESULTS: A total of 1209 patients (median follow-up 5.5 years) were included. There were 573 deaths (47%) and 653 DFS events (54%). Mutations (434 [36%]) had no prognostic effect (OBS HROS = 0.99, 95% CI: 0.77-1.28, p = 0.95; HRDFS = 0.99, 95% CI: 0.78-1.25, p = 0.92) but were marginally predictive of benefit from ACT for OS (test for interaction: OS, p = 0.06; DFS, p = 0.11). Patients with WT TP53 had a tendency toward better outcomes with ACT than did those in the OBS group (HROS = 0.77, 95% CI: 0.62-0.95, p = 0.02; HRDFS = 0.75, 95% CI: 0.62-0.92, p = 0.005). In the ACT arm, a deleterious effect of mutant versus WT TP53 was observed (HROS = 1.40, 95% CI: 1.10-1.78, p = 0.006; HRDFS = 1.31, 95% CI: 1.04-1.64, p = 0.02).
CONCLUSIONS: TP53 mutation had no prognostic effect but was marginally predictive for survival from ACT. In patients who received ACT, TP53 mutation tended to be associated with shorter survival than wild-type TP53.
Copyright © 2016 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Lung cancer; Predictive; Prognostic; TP53 mutations

Mesh:

Substances:

Year:  2016        PMID: 26899019     DOI: 10.1016/j.jtho.2016.02.002

Source DB:  PubMed          Journal:  J Thorac Oncol        ISSN: 1556-0864            Impact factor:   15.609


  32 in total

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Authors:  M-S Tsao; G Le Teuff; F A Shepherd; C Landais; P Hainaut; M Filipits; R Pirker; T Le Chevalier; S Graziano; R Kratze; J-C Soria; J-P Pignon; L Seymour; E Brambilla
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Journal:  Clin Cancer Res       Date:  2018-03-12       Impact factor: 12.531

3.  Pooled Analysis of the Prognostic and Predictive Effects of TP53 Comutation Status Combined With KRAS or EGFR Mutation in Early-Stage Resected Non-Small-Cell Lung Cancer in Four Trials of Adjuvant Chemotherapy.

Authors:  Frances A Shepherd; Benjamin Lacas; Gwénaël Le Teuff; Pierre Hainaut; Pasi A Jänne; Jean-Pierre Pignon; Thierry Le Chevalier; Lesley Seymour; Jean-Yves Douillard; Stephen Graziano; Elizabeth Brambilla; Robert Pirker; Martin Filipits; Robert Kratzke; Jean-Charles Soria; Ming-Sound Tsao
Journal:  J Clin Oncol       Date:  2017-04-28       Impact factor: 44.544

4.  Sequential Whole Exome Sequencing Reveals Somatic Mutations Associated with Platinum Response in NSCLC.

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Journal:  Ann Transl Med       Date:  2019-02

6.  A computed tomography (CT)-derived radiomics approach for predicting primary co-mutations involving TP53 and epidermal growth factor receptor (EGFR) in patients with advanced lung adenocarcinomas (LUAD).

Authors:  Ying Zhu; Yu-Biao Guo; Di Xu; Jing Zhang; Zhen-Guo Liu; Xi Wu; Xiao-Yu Yang; Dan-Dan Chang; Min Xu; Jing Yan; Zun-Fu Ke; Shi-Ting Feng; Yang-Li Liu
Journal:  Ann Transl Med       Date:  2021-04

7.  Clinical framework for next generation sequencing based analysis of treatment predictive mutations and multiplexed gene fusion detection in non-small cell lung cancer.

Authors:  Kajsa Ericson Lindquist; Anna Karlsson; Per Levéen; Hans Brunnström; Christel Reuterswärd; Karolina Holm; Mats Jönsson; Karin Annersten; Frida Rosengren; Karin Jirström; Jaroslaw Kosieradzki; Lars Ek; Åke Borg; Maria Planck; Göran Jönsson; Johan Staaf
Journal:  Oncotarget       Date:  2017-05-23

8.  Deep targeted sequencing analysis of hot spot mutations in non-small cell lung cancer patients from the Middle Eastern population.

Authors:  Pierre Khoueiry; Ghina Fakhri; Reem Akel; Majd El Assaad; Rami Mahfouz; Fadlo Khuri; Hassan Chami; Jason Petersen; Sarah Viet; Gareth Davies; Humam Kadara; Arafat Tfayli
Journal:  J Thorac Dis       Date:  2019-06       Impact factor: 2.895

9.  TP53 mutations predict for poor survival in ALK rearrangement lung adenocarcinoma patients treated with crizotinib.

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10.  Tumor Mutation Burden as a Biomarker in Resected Non-Small-Cell Lung Cancer.

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Journal:  J Clin Oncol       Date:  2018-08-14       Impact factor: 50.717

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