Genomic correlates and classification of PD-L1 status in non-small cell lung cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e21578-e21578
Author(s):  
Feng Liang ◽  
Sisi Liu ◽  
Ya Jiang ◽  
Xiuxiu Xu ◽  
Qiuxiang Ou ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Protein Expression ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Copy Number ◽  
Small Cell ◽  
Small Cell Lung ◽  
Oncogenic Mutations ◽  
Nsclc Patients ◽  
L1 Protein

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.

Association of PD-L1 protein expression and TMB in non-small cell lung cancer.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e20009-e20009
Author(s):  
Yaru Chen ◽  
Yanqing Zhou ◽  
Yun Xu ◽  
Xiaoni Zhang ◽  
Mingyan Xu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Protein Expression ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Nsclc Patient ◽  
Small Cell ◽  
Gene Panel ◽  
Small Cell Lung ◽  
Nsclc Patients ◽  
L1 Protein

e20009 Background: Programmed death-ligand 1 (PD-L1) protein expression and tumor mutation burden (TMB) are considered to be two of the most promising biomarkers for predicting response to PD-1/PD-L1 blockade therapy. To evaluate the association of PD-L1 expression and TMB in non-small cell lung cancer (NSCLC), we designed a study to compare PD-L1 expression levels and TMB values from the same FFPE samples. Methods: 153 NSCLC patients were enrolled between August 2018 and January 2019. An FFPE sample with at least 10 sections was taken from each patient. DNA was extracted from half of the FFPE sections, and was sequenced using a 605 gene panel to 5,000× depth. In silico analysis was conducted to compare the TMB value obtained using this 605-gene panel with that determined using whole exome sequencing (WES). The Pearson rank correlation of TMBs determined using the 605 gene panel versus those using WES was 0.9379, indicating results of the two methods are highly consistent. The other halves of the FFPE sections were used to evaluate PD-L1 expression using immunohistochemical (IHC) techniques. Because WES is considered the gold standard for determining TMB, we re-analyzed WES sequencing data obtained from all 1049 NSCLC patient samples in the TCGA database, and demonstrated that the TMB determined using the 605 gene panel was highly consistent with that obtained using WES. Results: We determined that 22.22% (34/153) of samples had high PD-L1 expression (defined as > 50% of cells being PD-L1 positive), but their TMB values varied from 0.76 to 19.84. The correlation between PD-L1 expression and TMB was only 0.154, indicating that PD-L1 expression had no significant association with TMB. Conclusions: PD-L1 expression and TMB are both important biomarkers for PD-L1 therapy. Many patients were only tested for either PD-L1 expression or TMB due to cost and sample limitations. The results of our study suggest that both PD-L1 and TMB should be examined in NSCLC patients.

PD-L1 Gene Polymorphism and High Level of Plasma Soluble Pd-L1 Protein may be aSsociated with Non-Small Cell Lung Cancer

2015 ◽  
Vol 30 (4) ◽  
pp. 364-368 ◽  
Author(s):  
Sensen Cheng ◽  
Jinsong Zheng ◽  
Jingyan Zhu ◽  
Chao Xie ◽  
Xia Zhang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Plasma Levels ◽  
Plasma Concentrations ◽  
Small Cell ◽  
Small Cell Lung ◽  
High Level ◽  
Nsclc Patients ◽  
L1 Protein

Background PD-1 and its ligand PD-L1 belong to the co-inhibition molecules, which can downregulate immune responses. The PD-L1 polymorphism and the level of soluble PD-L1 (sPD-L1) were investigated in non-small cell lung cancer (NSCLC). Methods A total of 288 NSCLC patients and 300 controls were enrolled. An A/C polymorphism at position 8923 in the PD-L1 gene was genotyped using the polymerase chain reaction-restriction fragment length polymorphism method. Results The prevalence of the 8923C allele was significantly higher in NSCLC patients than controls (10.2% versus 5.3%, p = 0.002, odds ratio 2.03, 95% confidence interval 1.30-3.17; data were adjusted for age and sex). NSCLC patients also showed increased plasma levels of sPD-L1 compared to controls (1.92 ng/mL versus 0.91 ng/mL, p<0.001). Furthermore, lung adenocarcinoma patients had higher sPD-L1 levels than patients with squamous cell carcinoma (p<0.01). However, no association was observed between the different genetic variants and plasma concentrations of sPD-L1. Conclusions The PD-L1 8923A/C polymorphism could be associated with increased susceptibility to NSCLC. Plasma levels of sPD-L1 are significantly increased in NSCLC patients, especially those with adenocarcinoma.

Optimizing PD-L1 evaluation on cytological samples from advanced non-small-cell lung cancer

Immunotherapy ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 183-193 ◽  
Author(s):  
Cecilia Bozzetti ◽  
Anna Squadrilli ◽  
Rita Nizzoli ◽  
Costanza Lagrasta ◽  
Donatello Gasparro ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Checkpoint Inhibitors ◽  
Diagnostic Procedures ◽  
Small Cell ◽  
Small Cell Lung ◽  
Gene Status ◽  
Nsclc Patients ◽  
L1 Protein

Aim: Programmed cell death-ligand 1 (PD-L1) predicts response to immune checkpoint inhibitors in non-small-cell lung cancer (NSCLC) patients. Most NSCLCs are diagnosed at an advanced stage and using minimally invasive diagnostic procedures that yield small biopsies or cytological samples. Methods: Cytological smears and paired histological samples from 52 advanced NSCLC patients were tested for PD-L1 expression by immunocyto/histochemistry (ICC/IHC) and for PD-L1 gene status by FISH. Results: PD-L1 was overexpressed in 9/52 (17%) cytological samples and in seven (13.5%) matched biopsies. The concordance between immunocytochemistry and IHC was 92.3% (48/52; p < 0.001). The concordance between PD-L1 gene status on cytology and histology was 69.2% (18/26; p < 0.001). No correlation between IHC and fluorescence in situ hybridization results was found. Conclusion: Our data support the feasibility and reliability of PD-L1 protein and PD-L1 gene assessment on direct cytological smears from NSCLC patients whenever histological sample are inadequate.

Protein expression (PE) and increased IGF1R gene copy number (GCN) in small cell lung cancer (SCLC).

2010 ◽  
Vol 28 (15_suppl) ◽  
pp. 10584-10584
Author(s):  
A. Badzio ◽  
M. W. Wynes ◽  
R. Dziadziuszko ◽  
D. Merrick ◽  
M. Pardo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Protein Expression ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Copy Number ◽  
Gene Copy Number ◽  
Small Cell ◽  
Gene Copy ◽  
Small Cell Lung

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 ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Comparative Analysis ◽  
Protein Expression ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Copy Number ◽  
Small Cell ◽  
Copy Number Alterations ◽  
Small Cell Lung

ALK amplification and crizotinib sensitivity in non-small cell lung cancer cell lines and patients report.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 10556-10556 ◽  
Author(s):  
Kalai Khadija ◽  
Nathalie Auger ◽  
Beranger Lueza ◽  
Frederic Commo ◽  
Alexander Valent ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lines ◽  
Cancer Cell ◽  
Cell Lung Cancer ◽  
Copy Number ◽  
Cancer Cell Lines ◽  
Small Cell ◽  
Small Cell Lung ◽  
Nsclc Patients

10556 Background: ALK high copy number (HCN) seems to be a frequent event, described in 13-17% of Non-small cell lung cancer (NSCLC). The goal of this study was to describe ALK genomic aberrations on NSCLC patients and cell lines, to explore the ALK HCN response to crizotinib through in vitro assays and to report three patients case. Methods: 191 Paraffin embedded specimens from advanced NSCLC patients and 27 NSCLC cancer cell lines were screened for ALK copy number by fluorescent in situ hybridization (FISH). Crizotinib sensitivity was evaluated in 9 cell lines through WST1 assays and clonogenic tests. Three patients exhibiting ALK HCN were assessed for response to crizotinib. Results: EML4-ALK translocation was present in 22 pts (11.5%). 21 pts (11%) exhibited over 6 copies of ALK. 6 (22%) cell lines displayed more than 5 copies of ALK, 19 (70%) presented a gain of 3 or 4 ALK copy number, only one cell line exhibited normal ALK copies and one harbored EML4-ALK translocation. FISH with CEP2 revealed a polysomy of chromosome 2 in cases with ALK HCN.Out of the 9 cell lines tested, 4 ALK HCN cell lines (H661, A427, BEN, H1299) exhibited increased sensitivity for crizotinib vs. 3 low ALK copy number (LCN) cell lines (H1975, H1651, H1650) with a low sensitivity. Median IC50 with crizotinib values was1750 nM [300-2800nM] in ALK HCN cell lines vs 4500 nM [800-8000nM] in ALK LCN cell lines, p=0.35. 3 patients with ALK HCN tumor received crizotinib ( in 4th , 5th and 6th -line therapy) for 2, 3 and 5 months with stable disease as best response and clinical benefit in 2 pts. Conclusions: ALK HCN may predict sensitivity to crizotinib. A clinical study is planned in ALK HCN pts.

scholarly journals Low TIP30 Protein Expression is Associated with a High Risk of Metastasis and Poor Prognosis for Non-Small-Cell Lung Cancer

2019 ◽  
Vol 8 (1) ◽  
pp. 83 ◽  
Author(s):  
Chao-Ju Chen ◽  
Po-An Chou ◽  
Ming-Shyan Huang ◽  
Yu-Peng Liu
Keyword(s):  
Lung Cancer ◽  
Protein Expression ◽  
Small Cell Lung Cancer ◽  
Mrna Expression ◽  
Cell Lung Cancer ◽  
Poor Prognosis ◽  
Progression Free Survival ◽  
Small Cell ◽  
Small Cell Lung ◽  
Nsclc Patients

Non-small-cell lung cancer (NSCLC) is a deadly malignancy with a high prevalence worldwide. A reliable biomarker that can predict the prognosis is required to determine the therapeutic strategy. TIP30 was first identified as a tumor suppressor. A number of mechanistic studies indicated that the downregulation of TIP30 enhances the stemness, migration and survival of NSCLC cells. However, the clinical relevance of TIP30 for the prognosis of NSCLC is unknown. From a meta-analysis of public microarray datasets, we showed the upregulation of TIP30 mRNA expression was associated with worse overall survival of NSCLC patients, which contradicted the tumor suppressive role of TIP30. It is worth noting that the TIP30 mRNA expression was not correlated with its protein expression in 15 NSCLC cell lines. The results from the immunohistochemistry of a tissue microarray showed the downregulation of the TIP30 protein expression was associated with a higher risk of metastasis. In addition, the decrease in TIP30 protein was correlated with worse overall and progression-free survival of the NSCLC patients. Multivariate analysis suggested the loss of TIP30 protein was an independent factor to predict the poor prognosis of NSCLC. Our data indicated that TIP30 protein, not mRNA, would be a potential prognostic biomarker of NSCLC.

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