scholarly journals BRAF Mutant Lung Cancer: Programmed Death Ligand 1 Expression, Tumor Mutational Burden, Microsatellite Instability Status, and Response to Immune Check-Point Inhibitors

2018 ◽  
Vol 13 (8) ◽  
pp. 1128-1137 ◽  
Author(s):  
Elizabeth Dudnik ◽  
Nir Peled ◽  
Hovav Nechushtan ◽  
Mira Wollner ◽  
Amir Onn ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Microsatellite Instability ◽  
Check Point ◽  
Programmed Death Ligand 1 ◽  
Mutational Burden ◽  
Programmed Death ◽  
Check Point Inhibitors ◽  
Tumor Mutational Burden ◽  
Braf Mutant

Tumor Mutational Burden Is Site Specific in Non–Small-Cell Lung Cancer and Is Highest in Lung Adenocarcinoma Brain Metastases

2019 ◽  
pp. 1-13 ◽  
Author(s):  
Matthew K. Stein ◽  
Manjari Pandey ◽  
Joanne Xiu ◽  
Hongseok Tae ◽  
Jeff Swensen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Brain Metastases ◽  
Small Cell ◽  
Small Cell Lung ◽  
Primary Tumors ◽  
Site Specific ◽  
Programmed Death Ligand 1 ◽  
Mutational Burden ◽  
Programmed Death ◽  
Tumor Mutational Burden

PURPOSE Tumor mutational burden (TMB) is a developing biomarker in non–small-cell lung cancer (NSCLC). Little is known regarding differences between TMB and sample location, histology, or other biomarkers. METHODS A total of 3,424 unmatched NSCLC samples, including 2,351 lung adenocarcinomas (LUADs) and 1,073 lung squamous cell carcinomas (LUSCs), underwent profiling, including next-generation sequencing of 592 cancer-related genes, programmed death ligand 1 immunohistochemistry, and TMB. The rate TMB of 10 mutations per megabase (Mb) or greater was compared between primary and metastatic LUAD and LUSC. Molecular alteration frequency was compared at a cutoff of 10 mutations/Mb. RESULTS LUAD metastases were more likely to have a TMB of 10 mutations/Mb or greater compared with primary LUADs (38% v 25%; P < .001), and this difference was most pronounced with brain metastases (61% v 35% for other metastases; P < .001). The median TMB for LUAD brain metastases was 13 mutations/Mb compared with six mutations/Mb for primary LUADs. Variability existed for other LUAD metastasis sites, with adrenal metastases most likely to meet the cutoff of 10 mutations/Mb (51%) and bone metastases least likely to meet the cutoff (19%). TMB was more commonly 10 mutations/Mb or greater for LUSC primary tumors than for LUAD primary tumors (35% v 25%, respectively; P < .001). LUSC metastases were more likely to have a TMB of 10 mutations/Mb or greater than LUSC primary tumors. Poorly differentiated disease was more likely have a TMB of 10 mutations/Mb or greater when stratified by histology and primary tumor or metastasis. Site-specific molecular differences existed at this TMB cutoff including programmed death ligand 1 positivity and STK11 and KRAS mutation rate. CONCLUSION TMB is a site-specific biomarker in NSCLC with important spatial and histologic differences. TMB is more frequently 10 mutations/Mb or greater in LUAD and LUSC metastases and highest in LUAD brain metastases. Along this TMB cutoff, clinically informative distinctions exist in other tumor profiling characteristics. Further investigation is needed to expand on these findings.

Costs comparison of the immune check point inhibitors versus survival ratio in first-line non-small lung cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21050-e21050
Author(s):  
Helmy M. Guirgis
Keyword(s):  
Lung Cancer ◽  
Death Receptor ◽  
Survival Ratio ◽  
Check Point ◽  
First Line ◽  
Unresectable Stage ◽  
Programmed Death ◽  
Check Point Inhibitors ◽  
Death Receptor Ligand ◽  
One Year

e21050 Background: Five-year overall survival (OS) was reported in 20% of patients treated by Pembrolizumab (Pembro) in 1st-line advanced/metastatic (a/m)-non-small lung cancer (nsLC). Costs of the immune check point inhibitors (ICI) are relatively high and bound to increase with extended use. We purposed to weigh and compare costs of ICI vs outcome. Methods: OS, hazard ratio (HR) and survival ratio (SR) defined as (1.0-HR) were used. Chemo-drug excluded; costs were calculated in US$. Results: Adjuvant Durv one-year costs in unresectable stage III were $130,956, OS gain 363 days and SR 0.47. Pembro one-year costs were $134,778. OS were 474 and SR 0.37 in programmed death receptor-ligand-1 > 50%. At 5 years, costs were $673,890. Costs of 35-cycle Pembro combination were $336,945, OS 339 and SR 0.51. Costs increased with extended use. Atezolizumab/Bevacizumab-combination (Atezo/Bev) costs x 2-years were $492,114, OS 135 and SR 0.22. Using Biosimilar Bev costs dropped to $429,744. Ipilimumab/Nivolumab (Ipi/Nivo) costs x 2 were $544,696, OS 141 and SR 0.34. Costs of both Atezo/Bev and Ipi/Nivo increased by 50% with one year of extended use. Costs of Pembro-combination were 0.78 lower than Atezo/Bev and 0.62 than Ipi/Nivo. Pembro SR were 2.32 higher than Atezo/Bev and 1.65 than Ipi/Nivo. Absence of direct comparison, however, cast doubts on Pembro advantage. Conclusions: Costs of one-year adjuvant Durv, 3-year Pembro and 35-cycle Pembro-combination were considered fair and equitable with their corresponding SR. Pembro-combination costs were cheaper than Atezo/Bev and Nivo/Ipi. Costs of all drugs and combinations multiplied with extended use.

T-Cell–Inflamed Gene-Expression Profile, Programmed Death Ligand 1 Expression, and Tumor Mutational Burden Predict Efficacy in Patients Treated With Pembrolizumab Across 20 Cancers: KEYNOTE-028

2019 ◽  
Vol 37 (4) ◽  
pp. 318-327 ◽  
Author(s):  
Patrick A. Ott ◽  
Yung-Jue Bang ◽  
Sarina A. Piha-Paul ◽  
Albiruni R. Abdul Razak ◽  
Jaafar Bennouna ◽  
...  
Keyword(s):  
Gene Expression ◽  
T Cell ◽  
Gene Expression Profile ◽  
Advanced Solid Tumors ◽  
Programmed Death Ligand 1 ◽  
Multiple Tumor ◽  
Mutational Burden ◽  
Programmed Death ◽  
Tumor Mutational Burden ◽  
Tumor Types

PURPOSE Biomarkers that can predict response to anti–programmed cell death 1 (PD-1) therapy across multiple tumor types include a T-cell–inflamed gene-expression profile (GEP), programmed death ligand 1 (PD-L1) expression, and tumor mutational burden (TMB). Associations between these biomarkers and the clinical efficacy of pembrolizumab were evaluated in a clinical trial that encompassed 20 cohorts of patients with advanced solid tumors. METHODS KEYNOTE-028 ( ClinicalTrials.gov identifier: NCT02054806) is a nonrandomized, phase Ib trial that enrolled 475 patients with PD-L1–positive advanced solid tumors who were treated with pembrolizumab 10 mg/kg every 2 weeks for 2 years or until confirmed disease progression or unacceptable toxicity occurred. The primary end point was objective response rate (ORR; by RECIST v1.1, investigator review). Secondary end points included safety, progression-free survival (PFS), and overall survival (OS). Relationships between T-cell–inflamed GEP, PD-L1 expression, and TMB and antitumor activity were exploratory end points. RESULTS ORRs (with 95% CIs) ranged from 0% (0.0% to 14.2%) in pancreatic cancer to 33% (15.6% to 55.3%) in small-cell lung cancer. Across cohorts, median (95% CI) PFS ranged from 1.7 months (1.5 to 2.9 months) to 6.8 months (1.9 to 14.1 months) in pancreatic and thyroid cancers, respectively, and median OS from 3.9 months (2.8 to 5.5 months) to 21.1 months (9.1 to 22.4 months) in vulvar and carcinoid tumors, respectively. Higher response rates and longer PFS were demonstrated in tumors with higher T-cell–inflamed GEP, PD-L1 expression, and/or TMB. Correlations of TMB with GEP and PD-L1 were low. Response patterns indicate that patients with tumors that had high levels of both TMB and inflammatory markers (GEP or PD-L1) represent a population with the highest likelihood of response. Safety was similar and consistent with prior pembrolizumab reports. CONCLUSION A T-cell–-inflamed GEP, PD-L1 expression, and TMB predicted response to pembrolizumab in multiple tumor types. These biomarkers (alone/in combination) may help identify patients who have a higher likelihood of response to anti–PD-1 therapies across a broad spectrum of cancers.

The estrogen pathway as a modulator of response to immunotherapy

Immunotherapy ◽  
2019 ◽  
Vol 11 (13) ◽  
pp. 1161-1176 ◽  
Author(s):  
Maria A Velez ◽  
Timothy F Burns ◽  
Laura P Stabile
Keyword(s):  
Lung Cancer ◽  
Checkpoint Inhibitors ◽  
Estrogen Signaling ◽  
Therapeutic Approaches ◽  
Mutational Burden ◽  
Improved Outcomes ◽  
Programmed Death ◽  
Tumor Mutational Burden ◽  
Antiestrogen Therapy ◽  
Potential Use

Lung cancer is the leading cause of cancer deaths worldwide, with a 5-year survival rate of about 18%. Thus, there is a great need for novel therapeutic approaches to treat non-small-cell lung cancer (NSCLC). Immune checkpoint inhibitors (ICIs) have improved outcomes for a subset of patients, especially those with high programmed death-ligand 1 expression and/or high tumor mutational burden, but have failed in the majority of patients. Increasing evidence suggests that the estrogen signaling pathway may be a therapeutic target in metastatic NSCLC and that the estrogen pathway may play a role in sex-based responses to ICIs. This report will review the epidemiologic, preclinical and clinical data on the estrogen pathway in NSCLC, its implications in sex-based responses to ICIs and the potential use of antiestrogen therapy in combination with ICIs.

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.

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