scholarly journals PD-L1 immunohistochemistry in non-small-cell lung cancer: unraveling differences in staining concordance and interpretation

2020 ◽  
Author(s):  
Cleo Keppens ◽  
Elisabeth MC Dequeker ◽  
Patrick Pauwels ◽  
Ales Ryska ◽  
Nils ‘t Hart ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Checkpoint Inhibitors ◽  
Predictive Biomarker ◽  
Test Methods ◽  
Small Cell ◽  
Small Cell Lung ◽  
Staining Score ◽  
Eqa Schemes

AbstractProgrammed death ligand 1 (PD-L1) immunohistochemistry (IHC) is accepted as a predictive biomarker for the selection of immune checkpoint inhibitors. We evaluated the staining quality and estimation of the tumor proportion score (TPS) in non-small-cell lung cancer during two external quality assessment (EQA) schemes by the European Society of Pathology. Participants received two tissue micro-arrays with three (2017) and four (2018) cases for PD-L1 IHC and a positive tonsil control, for staining by their routine protocol. After the participants returned stained slides to the EQA coordination center, three pathologists assessed each slide and awarded an expert staining score from 1 to 5 points based on the staining concordance. Expert scores significantly (p < 0.01) improved between EQA schemes from 3.8 (n = 67) to 4.3 (n = 74) on 5 points. Participants used 32 different protocols: the majority applied the 22C3 (56.7%) (Dako), SP263 (19.1%) (Ventana), and E1L3N (Cell Signaling) (7.1%) clones. Staining artifacts consisted mainly of very weak or weak antigen demonstration (63.0%) or excessive background staining (19.8%). Participants using CE-IVD kits reached a higher score compared with those using laboratory-developed tests (LDTs) (p < 0.05), mainly attributed to a better concordance of SP263. The TPS was under- and over-estimated in 20/423 (4.7%) and 24/423 (5.7%) cases, respectively, correlating to a lower expert score. Additional research is needed on the concordance of less common protocols, and on reasons for lower LDT concordance. Laboratories should carefully validate all test methods and regularly verify their performance. EQA participation should focus on both staining concordance and interpretation of PD-L1 IHC.

RAD51Bme as predictive biomarker for PD-1 blockade response in non-small cell lung cancer.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e15235-e15235
Author(s):  
Inês Maria Guerreiro ◽  
Daniela Barros-Silva ◽  
Paula Lopes ◽  
Ana Luísa Cunha ◽  
João Lobo ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Clinical Benefit ◽  
Checkpoint Inhibitors ◽  
Predictive Biomarkers ◽  
Predictive Biomarker ◽  
Small Cell ◽  
Small Cell Lung ◽  
Dna Repair Gene

e15235 Background: Lung cancer (LC) cells frequently express high levels of programmed death-ligand 1 (PD-L1). Although these levels grossly correlate with likelihood of response to specific checkpoint inhibitors, prediction of response is rather imperfect and, thus, more accurate predictive biomarkers are mandatory. We examined the methylation profile of RAD51B, a DNA-repair gene, as candidate predictive biomarker for efficacy of anti-PD-1 therapy in patients with non-small cell lung cancer (NSCLC), correlating with patients’ outcome. Methods: PD-L1 immunoexpression and RAD51Bme levels were analysed in samples of NSCLC obtained from patients not treated with anti-PD-1 blockade (testing cohort) and patients treated with anti-PD-1 (validation cohort). Results: Of a total of 127 patients assessed, 58.3% depicted positivity for PD-L1 (PD-L1+). RAD51Bme levels significantly associated with PD-L1 immunoexpression. Patients with clinical benefit from immunotherapy disclosed higher RAD51Bme levels (p = 0.04) and significantly higher median progression free survival (PFS) (p = 0.02). PD-L1+ was also associated with longer overall survival (p = 0.03). Conclusions: We demonstrated that RAD51Bme levels might be combined with validated predictive biomarker PD-L1 immunostaining to select patients who will most likely experience clinical benefit from PD-1 blockade. The predictive value of RAD51Bme should be confirmed in prospective studies.

scholarly journals PD-L1 Expression in Non-Small Cell Lung Cancer: Data from a Referral Center in Spain

Diagnostics ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1452
Author(s):  
Karmele Saez de Gordoa ◽  
Ingrid Lopez ◽  
Marta Marginet ◽  
Berta Coloma ◽  
Gerard Frigola ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Checkpoint Inhibitors ◽  
Squamous Carcinoma ◽  
Predictive Biomarker ◽  
Small Cell ◽  
Small Cell Lung ◽  
Surgical Biopsy ◽  
Cancer Data

Anti-programmed cell death (PD1)/ligand-1 (PD-L1) checkpoint inhibitors have improved the survival of non-small cell lung cancer (NSCLC) patients. Additionally, PD-L1 has emerged as a predictive biomarker of response. Our goal was to examine the histological features of all PD-L1 cases of NSCLC analyzed in our center between 2017 and 2020, as well as to correlate the expression values of the same patient in different tested samples. PD-L1 immunohistochemistry (IHC) was carried out on 1279 external and internal samples: 482 negative (tumor proportion score, TPS < 1%; 37.7%), 444 low-expression (TPS 1–49%; 34.7%) and 353 high-expression (TPS ≥ 50%; 27.6%). Similar results were observed with samples from our institution (N = 816). Significant differences were observed with respect to tumor histological type (p = 0.004); squamous carcinoma was positive in a higher proportion of cases than other histological types. There were also differences between PD-L1 expression and the type of sample analyzed (surgical, biopsy, cytology; p < 0.001), with a higher frequency of negative cytology. In addition, there were cases with more than one PD-L1 determination, showing heterogeneity. Our results show strong correlation with the literature data and reveal heterogeneity between tumors and samples from the same patient, which could affect eligibility for treatment with immunotherapy.

Immune-related endocrine toxicities in non-small cell lung cancer: predictors of outcome to checkpoint inhibitors?

2019 ◽  
Author(s):  
Roberta Poli ◽  
Clement Dumont ◽  
Lisa Pietrogiovanna ◽  
Vincent Servois ◽  
Sophie Beaucaire-Danel ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Predictors Of Outcome ◽  
Small Cell Lung

scholarly journals P09.25 Role of Immune Checkpoint Inhibitors (ICPi) in KRAS-Mutated Non-Small Cell Lung Cancer (NSCLC)

2021 ◽  
Vol 16 (3) ◽  
pp. S300-S301
Author(s):  
M. Peravali ◽  
C. Gomes-Lima ◽  
E. Tefera ◽  
M. Baker ◽  
M. Sherchan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitors ◽  
Checkpoint Inhibitors ◽  
Small Cell ◽  
Small Cell Lung

scholarly journals Tumor mutational burden assessment in non-small-cell lung cancer samples: results from the TMB2 harmonization project comparing three NGS panels

2021 ◽  
Vol 9 (5) ◽  
pp. e001904
Author(s):  
Javier Ramos-Paradas ◽  
Susana Hernández-Prieto ◽  
David Lora ◽  
Elena Sanchez ◽  
Aranzazu Rosado ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Predictive Value ◽  
Predictive Biomarker ◽  
Small Cell ◽  
Small Cell Lung ◽  
Mutational Burden ◽  
Reproducibility Study ◽  
Tumor Mutational Burden

BackgroundTumor mutational burden (TMB) is a recently proposed predictive biomarker for immunotherapy in solid tumors, including non-small cell lung cancer (NSCLC). Available assays for TMB determination differ in horizontal coverage, gene content and algorithms, leading to discrepancies in results, impacting patient selection. A harmonization study of TMB assessment with available assays in a cohort of patients with NSCLC is urgently needed.MethodsWe evaluated the TMB assessment obtained with two marketed next generation sequencing panels: TruSight Oncology 500 (TSO500) and Oncomine Tumor Mutation Load (OTML) versus a reference assay (Foundation One, FO) in 96 NSCLC samples. Additionally, we studied the level of agreement among the three methods with respect to PD-L1 expression in tumors, checked the level of different immune infiltrates versus TMB, and performed an inter-laboratory reproducibility study. Finally, adjusted cut-off values were determined.ResultsBoth panels showed strong agreement with FO, with concordance correlation coefficients (CCC) of 0.933 (95% CI 0.908 to 0.959) for TSO500 and 0.881 (95% CI 0.840 to 0.922) for OTML. The corresponding CCCs were 0.951 (TSO500-FO) and 0.919 (OTML-FO) in tumors with <1% of cells expressing PD-L1 (PD-L1<1%; N=55), and 0.861 (TSO500-FO) and 0.722 (OTML-FO) in tumors with PD-L1≥1% (N=41). Inter-laboratory reproducibility analyses showed higher reproducibility with TSO500. No significant differences were found in terms of immune infiltration versus TMB. Adjusted cut-off values corresponding to 10 muts/Mb with FO needed to be lowered to 7.847 muts/Mb (TSO500) and 8.380 muts/Mb (OTML) to ensure a sensitivity >88%. With these cut-offs, the positive predictive value was 78.57% (95% CI 67.82 to 89.32) and the negative predictive value was 87.50% (95% CI 77.25 to 97.75) for TSO500, while for OTML they were 73.33% (95% CI 62.14 to 84.52) and 86.11% (95% CI 74.81 to 97.41), respectively.ConclusionsBoth panels exhibited robust analytical performances for TMB assessment, with stronger concordances in patients with negative PD-L1 expression. TSO500 showed a higher inter-laboratory reproducibility. The cut-offs for each assay were lowered to optimal overlap with FO.

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.

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