scholarly journals P1.05-011 Comparative Analysis of TTF-1 Copy Number Alterations and Protein Expression in Patients with Non-Small Cell Lung Cancer

2017 ◽  
Vol 12 (1) ◽  
pp. S619-S620
Author(s):  
Katsuhiro Yoshimura ◽  
Yusuke Inoue ◽  
Nobuya Kurabe ◽  
Tomoaki Kahyo ◽  
Akikazu Kawase ◽  
...  
PLoS ONE ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. e88300 ◽  
Author(s):  
Bi-Qing Li ◽  
Jin You ◽  
Tao Huang ◽  
Yu-Dong Cai

2017 ◽  
Vol Volume 10 ◽  
pp. 4969-4979 ◽  
Author(s):  
Ann-Louise Vikberg ◽  
Tõnu Vooder ◽  
Kaie Lokk ◽  
Tarmo Annilo ◽  
Irina Golovleva

2015 ◽  
Author(s):  
Johanna Samulin-Erdem ◽  
Vidar Skaug ◽  
Per Bakke ◽  
Amund Gulsvik ◽  
Aage Haugen ◽  
...  

2010 ◽  
Vol 28 (15_suppl) ◽  
pp. 10584-10584
Author(s):  
A. Badzio ◽  
M. W. Wynes ◽  
R. Dziadziuszko ◽  
D. Merrick ◽  
M. Pardo ◽  
...  

PLoS ONE ◽  
2011 ◽  
Vol 6 (8) ◽  
pp. e22961 ◽  
Author(s):  
Yen-Tsung Huang ◽  
Xihong Lin ◽  
Lucian R. Chirieac ◽  
Ray McGovern ◽  
John C. Wain ◽  
...  

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21578-e21578
Author(s):  
Feng Liang ◽  
Sisi Liu ◽  
Ya Jiang ◽  
Xiuxiu Xu ◽  
Qiuxiang Ou ◽  
...  

e21578 Background: Programmed cell death 1 (PD-L1) is the first FDA-approved predictive biomarker for non-small cell lung cancer (NSCLC) patients treated with PD-(L)1 blockade therapy. Herein, we aim to identify potential anti-PD-L1 treatment-related biomarkers through evaluating the correlation between the PD-L1 expression level, clinical characteristics, and the mutational profile of a large Chinese NSCLC cohort. Methods: Genomic profiling of tumor biopsies from a total of 808 Chinese NSCLC patients, including 651 adenocarcinomas (ADCs) and 157 squamous cell carcinomas (SCCs), was performed using next-generation sequencing by targeting 425 cancer-relevant genes. Immunohistochemical analysis was used to evaluate PD-L1 protein expression using PD-L1 antibodies including DAKO 22C3 ( N= 695) and DAKO 28-8 ( N= 113), respectively. Results: The PD-L1 positive ( > 1%) rate was 49.2% in ADCs and 52.9% in SCCs, respectively. PD-L1 expression (22C3) was associated with the male gender( p< 0.01) and lymph node metastasis ( p= 0.048) in ADCs but not in SCC patients. PD-L1 expression (22C3) was inversely correlated with KRAS wildtype ( p< 0.001) and EGFR exon 19 deletion( p< 0.01) in ADC, while it was negatively associated with TP53 oncogenic mutations ( p= 0.049) in SCC. Copy number variation analysis revealed that MDM2 amplification ( p= 0.027), 1q gain ( p= 0.012), and 5q deletion ( p< 0.01) negatively correlated with PD-L1 expression, whereas PD-L1 and PD-L2 amplification ( p< 0.001 and p< 0.0001) were positively associated with PD-L1 expression in ADCs. In SCCs, PD-L1 expression (22C3) was negatively associated with copy number gain in EGFR ( p= 0.040), MDM2 ( p= 0.044), 14q ( p= 0.032), and 20q ( p= 0.026), along with PTPRD loss (p = 0.015) and 19p deletion (p = 0.025). However, it was positively associated with 9p amplification ( p< 0.01) and 13q deletion ( p= 0.019). Plus, KIF5B- RET ( p= 0.006) appeared to be inversely related to the PD-L1 expression levels (22C3) in ADCs alone. In addition, these predicted biomarkers were used to delineate the receiver operating characteristic (ROC) calculation to discriminate between PD-L1 low and high (22C3, 50%) with an AUC score of 0.779. Lastly, PD-L1 expression (28-8) did not show significant correlation with any detected oncogenic mutations, but negatively correlated with NKX2-1 gain ( p= 0.0379) and 9q deletion ( p= 0.0379) in ADCs. Conclusions: This study revealed the correlation between PD-L1 protein expression, clinical features, and mutational traits in NSCLC patients, and provided a classifier for PD-L1 expression prediction.


2010 ◽  
Author(s):  
Alison L. Dooley ◽  
Monte M. Winslow ◽  
Derek Chiang ◽  
Shantanu Banerji ◽  
Charles Whittaker ◽  
...  

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