Serum NY-ESO-1 and XAGE1 antibodies as predictive biomarkers in anti-PD-1 therapy for non-small-cell lung cancer.

2019 ◽  
Vol 37 (8_suppl) ◽  
pp. 106-106
Author(s):  
Mikio Oka ◽  
Yoshihiro Ohue ◽  
Koji Kurose ◽  
Takahiro Karasaki ◽  
Takeshi Masuda ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Serum Antibody ◽  
Predictive Biomarkers ◽  
Predictive Biomarker ◽  
Tumor Burden ◽  
Small Cell ◽  
Small Cell Lung ◽  
Antibody Positivity ◽  
Clinical Benefits ◽  
Antibody Titers

106 Background: Programmed death-1 (PD-1) inhibitors effectively treat non-small-cell lung cancer (NSCLC) and prolong survival, but the clinical benefits are limited in a small population. However, robust biomarkers for predicting clinical benefits with anti-PD-1 therapy have yet to be identified, therefore, predictive biomarkers are needed to select patients with benefits. On the other hand, NSCLC expresses NY-ESO-1 and XAGE1 cancer-testis antigens, which elicit spontaneous immune responses in NSCLC patients. Methods: We conducted a prospective multicenter study to investigate whether serum antibody against NY-ESO-1 and/or XAGE1 antigens was a predictive biomarker in anti-PD-1 therapy for NSCLC. Serum antibody was serially detected by ELISA, and antibody titers were monitored during anti-PD-1 therapy. Tumor tissues were analyzed by immunohistochemistry and whole exome sequencing. Objective response rate (ORR) and survival were the primary and secondary endpoint, respectively. Results: In the discovery cohort (n = 13), six antibody-positive NSCLC responded to anti-PD-1 therapy (two complete and four partial responses), whereas seven antibody-negative NSCLC did not. Antibody positivity was associated with good response and survival, regardless of tumor PD-ligand1 expression, mutation burden, and CD8 T-cell infiltration. In the independent validation cohort (n = 40), ten antibody-positive NSCLC obtained the significant clinical benefits with anti-PD-1 therapy as compared with 30 negative NSCLC (ORR 50% vs 6.7%, P = 0.006). In the multivariate analysis, only antibody positivity was a significantly better predictive biomarker of progression free survival (HR 0.04, 95% CI 0.0 to 0.3) and overall survival (HR 0.2, 95% CI 0.0 to 0.9) after anti-PD-1 therapy. Antibody titers in responders transiently increased with spikes and gradually decreased with tumor shrinkage after anti-PD-1 therapy, and strongly correlated with tumor reduction rates and tumor burden. Conclusions: Our results suggest that NY-ESO-1 and/or XAGE1 serum antibodies are useful biomarkers for predicting clinical benefits and monitoring tumor burden in anti-PD-1 therapy for NSCLC.

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 RAD51Bme Levels as a Potential Predictive Biomarker for PD-1 Blockade Response in Non-Small Cell Lung Cancer

2020 ◽  
Vol 9 (4) ◽  
pp. 1000
Author(s):  
Inês Maria Guerreiro ◽  
Daniela Barros-Silva ◽  
Paula Lopes ◽  
Mariana Cantante ◽  
Ana Luísa Cunha ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Clinical Benefit ◽  
Lower Risk ◽  
Predictive Biomarkers ◽  
Predictive Biomarker ◽  
Small Cell ◽  
Small Cell Lung ◽  
Risk Of Death

Lung cancer (LC) cells frequently express high levels of programmed death-ligand 1 (PD-L1). Although these levels grossly correlate with the likelihood of response to specific checkpoint inhibitors, the response prediction is rather imperfect, and more accurate predictive biomarkers are mandatory. We examined the methylation profile of RAD51B (RAD51Bme) as a candidate predictive biomarker for anti-PD-1 therapy efficacy in non-small cell lung cancer (NSCLC), correlating with patients’ outcome. PD-L1 immunoexpression and RAD51Bme levels were analysed in NSCLC samples obtained from patients not treated with anti-PD-1 (Untreated Cohort (#1)) and patients treated with PD-1 blockade (Treated Cohort (#2)). Of a total of 127 patients assessed, 58.3% depicted PD-L1 positivity (PD-L1+). RAD51Bme levels were significantly associated with PD-L1 immunoexpression. Patients with PD-1 blockade clinical benefit disclosed higher RAD51Bme levels (p = 0.0390) and significantly lower risk of disease progression (HR 0.37; 95% CI: 0.15–0.88; p = 0.025). Combining RAD51Bme+ with PD-L1+ improved the sensitivity of the test to predict immunotherapy response. PD-L1+ was also associated with lower risk of death (HR 0.35; 95% CI: 0.15–0.81; p = 0.014). Thus, 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.

Serum Antibody Against NY-ESO-1 and XAGE1 Predicts Clinical Responses to Anti-PD-1 Therapy in Non-Small-Cell Lung Cancer

2018 ◽  
Author(s):  
Yoshihiro Ohue ◽  
Koji Kurose ◽  
Takahiro Karasaki ◽  
Midori Isobe ◽  
Takaaki Yamaoka ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Serum Antibody ◽  
Small Cell ◽  
Small Cell Lung ◽  
Clinical Responses

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 Chemo-immunotherapy as first-line treatment for small-cell lung cancer

2020 ◽  
Vol 12 ◽  
pp. 175883592098036
Author(s):  
Saira Farid ◽  
Stephen V. Liu
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Predictive Biomarkers ◽  
High Response Rate ◽  
Small Cell ◽  
Standards Of Care ◽  
Small Cell Lung ◽  
First Line ◽  
Line Chemotherapy

Small-cell lung cancer (SCLC) is a highly lethal subtype of lung cancer. Despite concerted efforts over the past several decades, there have been limited therapeutic advances. Traditional chemotherapy offers a high response rate and rapid symptomatic improvement, but its benefit is fleeting, and relapse is quick and unforgiving. Immunotherapy has delivered improved outcomes for patients with many cancers and there was compelling rationale for development in SCLC. While initial efforts with cytotoxic T-lymphocyte protein-4 inhibitors failed to improve upon chemotherapy alone, the addition of programmed death ligand-1 (PD-L1) inhibitors to first-line chemotherapy finally provided long-awaited gains in survival. Atezolizumab, when added to carboplatin and etoposide, improved both progression-free survival and overall survival. Durvalumab, when added to platinum plus etoposide, similarly improved OS. Biomarker development has stalled as PD-L1 expression and tumor mutational burden have not been useful predictive biomarkers. However, based on the significant survival improvements, both atezolizumab and durvalumab were approved by the US Food and Drug Administration to be given with first-line chemotherapy, and these regimens represent the new standards of care for SCLC.

scholarly journals Protein Kinase C as a Therapeutic Target in Non-Small Cell Lung Cancer

2021 ◽  
Vol 22 (11) ◽  
pp. 5527
Author(s):  
Mohammad Mojtaba Sadeghi ◽  
Mohamed F. Salama ◽  
Yusuf A. Hannun
Keyword(s):  
Lung Cancer ◽  
Protein Kinase C ◽  
Protein Kinase ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Predictive Biomarkers ◽  
Small Cell ◽  
Small Cell Lung ◽  
Kinase C ◽  
Pkc Isozymes

Driver-directed therapeutics have revolutionized cancer treatment, presenting similar or better efficacy compared to traditional chemotherapy and substantially improving quality of life. Despite significant advances, targeted therapy is greatly limited by resistance acquisition, which emerges in nearly all patients receiving treatment. As a result, identifying the molecular modulators of resistance is of great interest. Recent work has implicated protein kinase C (PKC) isozymes as mediators of drug resistance in non-small cell lung cancer (NSCLC). Importantly, previous findings on PKC have implicated this family of enzymes in both tumor-promotive and tumor-suppressive biology in various tissues. Here, we review the biological role of PKC isozymes in NSCLC through extensive analysis of cell-line-based studies to better understand the rationale for PKC inhibition. PKC isoforms α, ε, η, ι, ζ upregulation has been reported in lung cancer, and overexpression correlates with worse prognosis in NSCLC patients. Most importantly, PKC isozymes have been established as mediators of resistance to tyrosine kinase inhibitors in NSCLC. Unfortunately, however, PKC-directed therapeutics have yielded unsatisfactory results, likely due to a lack of specific evaluation for PKC. To achieve satisfactory results in clinical trials, predictive biomarkers of PKC activity must be established and screened for prior to patient enrollment. Furthermore, tandem inhibition of PKC and molecular drivers may be a potential therapeutic strategy to prevent the emergence of resistance in NSCLC.

scholarly journals Identification of NOTCH4 mutation as a response biomarker for immune checkpoint inhibitor therapy

BMC Medicine ◽  
2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Junyu Long ◽  
Dongxu Wang ◽  
Xu Yang ◽  
Anqiang Wang ◽  
Yu Lin ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Bladder Cancer ◽  
Cancer Patients ◽  
Immune Checkpoint ◽  
Immune Checkpoint Inhibitor ◽  
Checkpoint Inhibitor ◽  
Small Cell ◽  
Small Cell Lung ◽  
Esophagogastric Cancer ◽  
Clinical Benefits

Abstract Background Immune checkpoint inhibitor (ICI) therapy elicits durable antitumor responses in patients with many types of cancer. Genomic mutations may be used to predict the clinical benefits of ICI therapy. NOTCH homolog-4 (NOTCH4) is frequently mutated in several cancer types, but its role in immunotherapy is still unclear. Our study is the first to study the association between NOTCH4 mutation and the response to ICI therapy. Methods We tested the predictive value of NOTCH4 mutation in the discovery cohort, which included non-small cell lung cancer, melanoma, head and neck squamous cell carcinoma, esophagogastric cancer, and bladder cancer patients, and validated it in the validation cohort, which included non-small cell lung cancer, melanoma, renal cell carcinoma, colorectal cancer, esophagogastric cancer, glioma, bladder cancer, head and neck cancer, cancer of unknown primary, and breast cancer patients. Then, the relationships between NOTCH4 mutation and intrinsic and extrinsic immune response mechanisms were studied with multiomics data. Results We collected an ICI-treated cohort (n = 662) and found that patients with NOTCH4 mutation had better clinical benefits in terms of objective response rate (ORR: 42.9% vs 25.9%, P = 0.007), durable clinical benefit (DCB: 54.0% vs 38.1%, P = 0.021), progression-free survival (PFS, hazard ratio [HR] = 0.558, P < 0.001), and overall survival (OS, HR = 0.568, P = 0.006). In addition, we validated the prognostic value of NOTCH4 mutation in an independent ICI-treated cohort (n = 1423). Based on multiomics data, we found that NOTCH4 mutation is significantly associated with enhanced immunogenicity, including a high tumor mutational burden, the expression of costimulatory molecules, and activation of the antigen-processing machinery, and NOTCH4 mutation positively correlates activated antitumor immunity, including infiltration of diverse immune cells and various immune marker sets. Conclusions Our findings indicated that NOTCH4 mutation serves as a novel biomarker correlated with a better response to ICI therapy.

scholarly journals RNA-Based Assay for Next-Generation Sequencing of Clinically Relevant Gene Fusions in Non-Small Cell Lung Cancer

Cancers ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 139
Author(s):  
Caterina De Luca ◽  
Francesco Pepe ◽  
Antonino Iaccarino ◽  
Pasquale Pisapia ◽  
Luisella Righi ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Limit Of Detection ◽  
Predictive Biomarkers ◽  
Small Cell ◽  
Clinical Samples ◽  
Gene Fusions ◽  
Small Cell Lung ◽  
Relevant Gene

Gene fusions represent novel predictive biomarkers for advanced non-small cell lung cancer (NSCLC). In this study, we validated a narrow NGS gene panel able to cover therapeutically-relevant gene fusions and splicing events in advanced-stage NSCLC patients. To this aim, we first assessed minimal complementary DNA (cDNA) input and the limit of detection (LoD) in different cell lines. Then, to evaluate the feasibility of applying our panel to routine clinical samples, we retrospectively selected archived lung adenocarcinoma histological and cytological (cell blocks) samples. Overall, our SiRe RNA fusion panel was able to detect all fusions and a splicing event harbored in a RNA pool diluted up to 2 ng/µL. It also successfully analyzed 46 (95.8%) out of 48 samples. Among these, 43 (93.5%) out of 46 samples reproduced the same results as those obtained with conventional techniques. Intriguingly, the three discordant results were confirmed by a CE-IVD automated real-time polymerase chain reaction (RT-PCR) analysis (Easy PGX platform, Diatech Pharmacogenetics, Jesi, Italy). Based on these findings, we conclude that our new SiRe RNA fusion panel is a valid and robust tool for the detection of clinically relevant gene fusions and splicing events in advanced NSCLC.

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