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.

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.

scholarly journals LncRNA HAND2-AS1 inhibits non-small cell lung cancer migration, invasion and maintains cell stemness through the interactions with TGF-β1

2019 ◽  
Vol 39 (1) ◽  
Author(s):  
Feng Miao ◽  
Ji Chen ◽  
Meng Shi ◽  
Yang Song ◽  
Zhiming Chen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cell Migration ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Plasma Levels ◽  
Small Cell ◽  
Healthy Controls ◽  
Small Cell Lung ◽  
Nsclc Patients ◽  
Tgf Β1

Abstract LncRNA HAND2-AS1 is characterized as a tumor suppressor involved in several types of malignancies, but its role in non-small cell lung cancer (NSCLC) is unknown. Our study was carried out to investigate the involvement of lncRNA HAND2-AS1 in NSCLC. In our study, we observed that levels of HAND2-AS1 were lower in tumor tissues than that in adjacent healthy tissues. Compared with healthy controls, plasma levels of HAND2-AS1 were lower, while levels of transforming growth factor β (TGF-β) were higher in NSCLC patients. A significant negative correlation between plasma levels of HAND2-AS1 and TGF-β1 was found in NSCLC patients but not in healthy controls. LncRNA HAND2-AS1 overexpression inhibits, while exogenous TGF-β1 treatment promotes cell migration and invasion ability and cancer cell stemness. Cancer cells with lncRNA HAND2-AS1 overexpression showed down-regulated TGF-β1, while TGF-β1 treatment showed no significant effects on lncRNA HAND2-AS1 expression. TGF-β1 attenuated the inhibitory effects of lncRNA HAND2-AS1 overexpression on cell migration, invasion and stemness. We concluded that lncRNA HAND2-AS1 may regulate the migration, invasion and stemness of NSCLC cells through interactions with TGF-β1.

scholarly journals Biomarkers and Gene Signatures to Predict Durable Response to Pembrolizumab in Non-Small Cell Lung Cancer

Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3828
Author(s):  
Anello Marcello Poma ◽  
Rossella Bruno ◽  
Iacopo Pietrini ◽  
Greta Alì ◽  
Giulia Pasquini ◽  
...  
Keyword(s):  
Lung Cancer ◽  
T Cells ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Immune Cell ◽  
Small Cell ◽  
Small Cell Lung ◽  
First Line ◽  
Durable Response ◽  
Nsclc Patients

Pembrolizumab has been approved as first-line treatment for advanced Non-small cell lung cancer (NSCLC) patients with tumors expressing PD-L1 and in the absence of other targetable alterations. However, not all patients that meet these criteria have a durable benefit. In this monocentric study, we aimed at refining the selection of patients based on the expression of immune genes. Forty-six consecutive advanced NSCLC patients treated with pembrolizumab in first-line setting were enrolled. The expression levels of 770 genes involved in the regulation of the immune system was analysed by the nanoString system. PD-L1 expression was evaluated by immunohistochemistry. Patients with durable clinical benefit had a greater infiltration of cytotoxic cells, exhausted CD8, B-cells, CD45, T-cells, CD8 T-cells and NK cells. Immune cell scores such as CD8 T-cell and NK cell were good predictors of durable response with an AUC of 0.82. Among the immune cell markers, XCL1/2 showed the better performance in predicting durable benefit to pembrolizumab, with an AUC of 0.85. Additionally, CD8A, CD8B and EOMES showed a high specificity (>0.86) in identifying patients with a good response to treatment. In the same series, PD-L1 expression levels had an AUC of 0.61. The characterization of tumor microenvironment, even with the use of single markers, can improve patients’ selection for pembrolizumab treatment.

scholarly journals Circulating Biomarkers of Response and Toxicity of Immunotherapy in Advanced Non-Small Cell Lung Cancer (NSCLC): A Comprehensive Review

Cancers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1794
Author(s):  
Alice Indini ◽  
Erika Rijavec ◽  
Francesco Grossi
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Liquid Biopsy ◽  
Cytotoxic T Lymphocyte ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Circulating Biomarkers ◽  
Small Cell Lung ◽  
Nsclc Patients

Immune checkpoint inhibitors (ICIs) targeting the programmed cell death (PD)-1 protein and its ligand, PD-L1, and cytotoxic T-lymphocyte-associated antigen (CTLA)-4, have revolutionized the management of patients with advanced non-small cell lung cancer (NSCLC). Unfortunately, only a small portion of NSCLC patients respond to these agents. Furthermore, although immunotherapy is usually well tolerated, some patients experience severe immune-related adverse events (irAEs). Liquid biopsy is a non-invasive diagnostic procedure involving the isolation of circulating biomarkers, such as circulating tumor cells (CTC), cell-free DNA (cfDNA), and microRNAs (miRNAs). Thanks to recent advances in technologies, such as next-generation sequencing (NGS) and digital polymerase chain reaction (dPCR), liquid biopsy has become a useful tool to provide baseline information on the tumor, and to monitor response to treatments. This review highlights the potential role of liquid biomarkers in the selection of NSCLC patients who could respond to immunotherapy, and in the identification of patients who are most likely to experience irAEs, in order to guide improvements in care.

scholarly journals 1318P Association between soluble PD-L1 and prognosis of non-small cell lung cancer (NSCLC) patients treated with immunotherapy

2020 ◽  
Vol 31 ◽  
pp. S851
Author(s):  
C. Dellepiane ◽  
S. Coco ◽  
M.G. Dal Bello ◽  
G. Rossi ◽  
E. Rijavec ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Nsclc Patients
Sign in / Sign up

Export Citation Format

Share Document