Prognostic and Predictive Value of TP53 Mutations in Human Cancer

2007 ◽  
pp. 321-338 ◽  
Author(s):  
Magali Olivier ◽  
Pierre Hainaut ◽  
Anne-Lise Børresen-Dale
2005 ◽  
pp. 321-338
Author(s):  
Magali Olivier ◽  
Pierre Hainaut ◽  
Anne-Lise Børresen-Dale

Tumor Biology ◽  
2017 ◽  
Vol 39 (2) ◽  
pp. 101042831769432 ◽  
Author(s):  
Christophe Deben ◽  
Jolien Van den Bossche ◽  
Nele Van Der Steen ◽  
Filip Lardon ◽  
An Wouters ◽  
...  

The TP53 gene remains the most frequently altered gene in human cancer, of which variants are associated with cancer risk, therapy resistance, and poor prognosis in several tumor types. To determine the true prognostic value of TP53 variants in non–small cell lung cancer, this study conducted further research, particularly focusing on subtype and tumor stage. Therefore, we determined the TP53 status of 97 non–small cell lung cancer adenocarcinoma patients using next generation deep sequencing technology and defined the prognostic value of frequently occurring single nucleotide polymorphisms and mutations in the TP53 gene. Inactivating TP53 mutations acted as a predictor for both worse overall and progression-free survival in stage II–IV patients and patients treated with DNA-damaging (neo)adjuvant therapy. In stage I tumors, the Pro-allele of the TP53 R72P polymorphism acted as a predictor for worse overall survival. In addition, we detected the rare R213R (rs1800372, minor allele frequency: 0.0054) polymorphism in 7.2% of the patients and are the first to show the significant association with TP53 mutations in non–small cell lung cancer adenocarcinoma patients (p = 0.003). In conclusion, Our findings show an important role for TP53 variants as negative predictors for the outcome of non–small cell lung cancer adenocarcinoma patients, especially for TP53 inactivating mutations in advanced stage tumors treated with DNA-damaging agents, and provide the first evidence of the R213R G-allele as possible risk factor for non–small cell lung cancer.


1997 ◽  
Vol 25 (2) ◽  
pp. 94-102 ◽  
Author(s):  
Jan M.M Meijers ◽  
Gerard M.H Swaen ◽  
Louis J.N Bloemen

2014 ◽  
Vol 35 (6) ◽  
pp. 672-688 ◽  
Author(s):  
Bernard Leroy ◽  
Martha Anderson ◽  
Thierry Soussi
Keyword(s):  

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e14272-e14272
Author(s):  
Nagla Fawzy Abdel Karim ◽  
Chisom Onuoha ◽  
Imran Ahmad ◽  
Ihab Eldessouki ◽  
Patrick C. Ma ◽  
...  

e14272 Background: K-RAS is a non-targetable mutation with no established predictive value. However, PD-L1 is the only approved predictive marker for immunotherapy in NSCLC. K-RAS mutation like PD-L1 has been associated with smoking. TP53 and K-RAS mutations have been identified in aggressive neoplasms. We hypothesized that K-RAS mutant NSCLC has higher PD-L1 expression suggestive of improved response to immunotherapy. Methods: The Caris database from 2016 - 2018 was queried and patients with NSCLC were identified. ≥1% staining for PD-L1 (22c3 antibody) was considered positive. PD-L1 expression as well as K-RAS and TP53 mutation status were analyzed and correlation between different variables were identified using ANOVA. Results: We identified 8,471 patients with NSCLC, where 66% had TP53 mutation and 26.9% had K-RAS mutation; both mutations were identified in 12% of the patients. In the subset of combined K-RAS and TP53 mutations there were 71.48% having positive PD-L1 expression with female predominance 1.4:1. Of the eight main K-RAS mutation subsets, G12C subset was the most common. Compared to other K-RAS subtypes, G12C was associated with the higher occurrence of PD-L1 positivity (62.68%,p < 0.04; Table). Conclusions: In comparison to other subsets of K-RAS mutation, G12C had the highest occurrence of PD-L1 expression, suggestive of improved response to immunotherapy. However, the subset of patients with combined K-RAS and TP53 mutations had a higher occurrence for the PD-L1 positive status of 71.48%. [Table: see text]


2005 ◽  
pp. 293-319 ◽  
Author(s):  
Hong Shi ◽  
Florence Calvez ◽  
Magali Olivier ◽  
Pierre Hainaut

2016 ◽  
Vol 48 (2) ◽  
pp. 106-108 ◽  
Author(s):  
Mark D M Leiserson ◽  
Fabio Vandin ◽  
Hsin-Ta Wu ◽  
Benjamin J Raphael
Keyword(s):  

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