scholarly journals P14.25 Immune Cell Profiling of Hyperprogressive Disease in Patients with Non-Small Cell Lung Cancer Treated with Anti-PD-1/PD-L1 Antibodies

2021 ◽  
Vol 16 (3) ◽  
pp. S340
Author(s):  
K.H. Kim ◽  
J.Y. Hur ◽  
B.M. Ku ◽  
J. Koh ◽  
M. Ahn ◽  
...  
Cancers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 3828
Author(s):  
Anello Marcello Poma ◽  
Rossella Bruno ◽  
Iacopo Pietrini ◽  
Greta Alì ◽  
Giulia Pasquini ◽  
...  

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.


2018 ◽  
Vol 13 (10) ◽  
pp. S526
Author(s):  
J. Koh ◽  
K.Y. Lee ◽  
B. Kim ◽  
M.S. Kim ◽  
H.J. Cho ◽  
...  

2020 ◽  
pp. 829-840 ◽  
Author(s):  
Roberto Ferrara ◽  
Laura Mezquita ◽  
Matthieu Texier ◽  
Jihene Lahmar ◽  
Clarisse Audigier-Valette ◽  
...  

PURPOSE Hyperprogressive disease (HPD), fast progression (FP), and early death (ED) have been described in 13.8%, 4.7%, and 5.6% and in 5.1%, 2.8%, and 6.8%, respectively, of patients with non–small-cell lung cancer (NSCLC) treated with single-agent programmed cell death ligand 1 inhibitors (ICI) or chemotherapy, respectively. Whether FP/ED and HPD represent overlapping patterns is unknown. PATIENTS AND METHODS FP, ED, and HPD were retrospectively assessed in patients with NSCLC treated with single-agent ICI or chemotherapy. Eligibility required 2 computed tomography (CT) scans before and 1 CT scan during treatment. (1) HPD, (2) FP, (3) ED were defined as (1) RECIST version 1.1 progression at first CT scan and tumor growth rate variation per month > 50%, (2) ≥ 50% increase in the sum of the longest diameters of target lesions within 6 weeks from baseline, and (3) death as a result of radiologic progression within 12 weeks from baseline CT scan, respectively. RESULTS Of 406 ICI-treated NSCLC, 56 patients (13.8%), 9 patients (2.2%), and 36 patients (8.8%) were HPD, FP, and ED, respectively. Eight (14.2%) and 20 (35.7%) of 56 patients with HPD were also FP and ED. ED significantly correlated with baseline Eastern Cooperative Oncology Group performance status ≥ 2 compared with HPD (33% v 13%, P = .02). Overall survival was significantly longer for HPD (3.4 months [95% CI, 2.7 to 4.0 months]) compared with FP (0.7 months [95% CI, 0.6 to 0.8 months]); HR, 0.18 [95% CI, 0.08 to 0.42]; P < .0001) and ED (1.4 months [95% CI, 1.3 to 1.6 months]); HR, 0.19 [95% CI, 0.11 to 0.34]); P < .0001), whereas it did not differ between FP and ED (HR, 1.3 [95% CI, 0.56 to 3.0]; P = .55). Of 59 patients with NSCLC treated with single-agent chemotherapy, the HPD, FP, and ED rates were 5.1%, 1.7%, and 6.7%, respectively. CONCLUSION FP, ED, and HPD represent distinct progression patterns with limited overlap and different survival outcomes.


2019 ◽  
Vol 30 ◽  
pp. xi25
Author(s):  
P. Ayala de Miguel ◽  
J. López Gallego ◽  
I. Gorospe García ◽  
A. Illán Varella ◽  
P.R. Rivera Vargas ◽  
...  

2021 ◽  
Author(s):  
Huihui Jiang ◽  
Aiqun Xu ◽  
Min Li ◽  
Rui Han ◽  
Enze Wang ◽  
...  

Abstract Background: Non-small cell lung cancer (NSCLC) ranks first among global cancer-related deaths. Despite the emergence of various immunological and targeted therapies, immune tolerance remains a barrier to treatment. Methods: It has been found that this obstacle can be overcome by targeting autophagy-related genes (ATGs). ATGs were screened by coexpression analysis and the genes related to the prognosis of lung cancer were screened using Kaplan–Meier (K-M) survival analysis, univariate Cox regression, and multivariate Cox regression. The prognostic risk model of ATGs was constructed and verified using K-M survival analysis and receiver operating characteristic (ROC) curve analysis. Results: The prognostic risk model of ATGs was constructed. Gene set enrichment analysis (GSEA) showed that the function and pathway of ATG enrichment were closely related to immune cell function. CIBERSORT, LM22 matrix, and Pearson correlation analysis showed that risk signals were significantly correlated with immune cell infiltration and immune checkpoint genes. Conclusions: We identified and independently verified the ATG (AL691432.2, MMP2-AS1, AC124067.2, CRNDE, ABALON, AL161431.1, NKILA) in NSCLC patients and found that immune regulation in the tumor microenvironment is closely related to this gene.


2021 ◽  
Author(s):  
Ming Zhang ◽  
Hualiang Zhang ◽  
Linfeng Cao ◽  
Gouxin Hou ◽  
Chao Lu ◽  
...  

Abstract Background As mRNA binding proteins, MEX3 (muscle excess 3) family highlights its unique characteristics and plays an emerging role in post-transcriptionally regulating programmed of biological processes, including tumor cell death and immunological relevance. These have been shown to be involved in various diseases, however, the role of MEX3 in non-small-cell lung cancer (NSCLC) has not been fully elucidated. Results In this study, we found that the sequence or copy number of MEX3 gene did not change significantly, which can explain the stability of malignant tumor development through the COSMIC database. Further, gene expression in NSCLC was examined using the Oncomine™ database, and the prognostic value of each gene was analyzed by Kaplan-Meier analysis. The results showed that overexpressed of MEX3A, MEX3B, MEX3C and MEX3D were associated with significantly lower OS in patients with NSCLC and LUAD, while overexpressed of MEX3D was associated with significantly poorer OS in patients with LUSC. We also applied the Tumor Immune Estimation Resource (TIMER) tool to assess the correlations between distinct MEX3 and the infiltrating immune cell landscape. Conclusion On this subject, we have learned about the complexity and heterogeneity of NSCLC through MEX3. We found that most of MEX3 is highly expressed in NSCLC. High expression indicates a poor prognosis and has a certain immune correlation. Therefore, these conclusions can lay a framework for the prognosis of NSCLC patients and the development of treatment strategies in the future.


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