scholarly journals Study on PD-L1 Expression in NSCLC Patients and Related Influencing Factors in the Real World

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yefei Zhu ◽  
Shuangxiang Lin ◽  
Yueping Wang ◽  
Bingxiao Shen ◽  
Ling Lin ◽  
...  

PD-L1 is one of the current biomarkers for immune checkpoint inhibitor (ICI) therapy in patients with non-small-cell lung cancer. However, the expression of PD-L1 in the real world and its related influencing factors remain unclear. We want to observe the expression of PD-L1 in the real world and study the related influencing factors through the collection and analysis of clinical data. R software (version 4.0) was used to perform data analysis and the “corplot” package for correlation analysis. A total of 296 individuals (mean [SD] age, 67 [9] years; 23%female) were assessed. According to the expression amount of PD-L1, the cohort was divided into low nonexpression group ( PD ‐ L 1 < 1 % , 26.7%), low-expression group ( 1 % ≤ PD ‐ L 1 < 50 % , 49.3%), and high-expression group ( PD ‐ L 1 ≥ 50 % , 23.5%). Age, gender, underlying diseases, smoking status, and PD-L1 expression level were not statistically significant. We found that the expression of PD-L1 was correlated with serum albumin ( P < 0.05 ) and pathological type ( P < 0.05 ) and had a negative correlation with EGFR mutation but did not correlate with gender, age, smoking status, combined with underlying diseases, tumor stage, whether it was initially treated or not, sampling site, specimen type, specimen storage time, R-IFN, CD4, CD8, NLR, CRP, and LDH. The present findings indicated that serum albumin, pathological type, and EGFR mutations are associated with PD-L1 expression in patients with NSCLC, which may provide a new basis for individualized immunotherapy and need further study to confirm. The results of this study help to further reveal the actual expression of PD-L1 in non-small-cell lung cancer patients with real events.

2021 ◽  
pp. jclinpath-2021-208034
Author(s):  
Javier Martín-López ◽  
Federico Rojo ◽  
Antonio Martínez-Pozo ◽  
Teresa Hernández-Iglesias ◽  
David Carcedo ◽  
...  

AimsThe aim of this study is to extend the analysis of the Lung Cancer Biomarker Testing Registry (LungPath), by analysing the techniques used in the determination of epidermal growth factor receptor (EGFR), anaplastic lymphoma kinase (ALK), c-ros oncogene 1 (ROS1) and programmed death ligand-1 (PD-L1) for the diagnostic of patients with advanced non-small-cell lung cancer (NSCLC).MethodsInformation of the technique used for the determination of EGFR, ALK, ROS1 and PD-L1 was recorded from March 2018 to January 2019 from 44 centres, but only 34 centres matched with the 38 centres previously analysed, allowing to analyse the techniques used in 8970 matched determinations of EGFR, ALK, ROS1 and PD-L1. Therefore, a by-centre analysis studied the level of implementation of the techniques in the 44 centres, while a by-determination analysis made it possible to assess the overall frequency of the techniques used on the 9134 matched samples.ResultsBy-centre analysis showed that only 46.5% and 25.6% of the centres used reflex strategies for ALK and ROS1 determination, respectively. By-determination analysis showed that 94.4% of EGFR determinations were performed by PCR, 80.7% of ALK determinations were performed by IHC with clone D5F3, while 55.7% of ROS1 determinations were performed by IHC with clone D4D6. 22C3 were the PD-L1 clone more used (43.5%) followed by SP263 clone (31.1%).ConclusionsThe real-world evidence obtained from LungPath shows the effort of Spanish hospitals in performing biomarker determination in NSCLC with different methodologies despite that next-generation sequencing (NGS) utilisation in the year of the analysis was low. Biomarker determination results could be optimised with the incorporation of sequencing methods such as NGS in pathology departments.


Lung Cancer ◽  
2013 ◽  
Vol 79 ◽  
pp. S17
Author(s):  
A. Lewis ◽  
N. Hough ◽  
D.K. Woolf ◽  
R. Trehy ◽  
B. Kolotia ◽  
...  

2021 ◽  
Author(s):  
Martina Lorenzi ◽  
Alessandra Ferro ◽  
Fabiana Cecere ◽  
Daniela Scattolin ◽  
Alessandro Del Conte ◽  
...  

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