scholarly journals Methods of measurement for tumor mutational burden in tumor tissue

2018 ◽  
Vol 7 (5) ◽  
pp. 661-667 ◽  
Author(s):  
Bárbara Meléndez ◽  
Claude Van Campenhout ◽  
Sandrine Rorive ◽  
Myriam Remmelink ◽  
Isabelle Salmon ◽  
...  
Keyword(s):  
Tumor Tissue ◽  
Mutational Burden ◽  
Tumor Mutational Burden ◽  
Methods Of Measurement

Prevalence of PD-L1 expression in first-line (1L) locally advanced/unresectable or metastatic urothelial carcinoma (UC).

2019 ◽  
Vol 37 (8_suppl) ◽  
pp. TPS67-TPS67
Author(s):  
Petros Grivas ◽  
Alicia K. Morgans ◽  
Yair Lotan ◽  
Jeffrey P. Gregg ◽  
Daniel M. Geynisman ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Tumor Tissue ◽  
Performance Status ◽  
Locally Advanced ◽  
Circulating Tumor Dna ◽  
Mutational Burden ◽  
Platinum Based Chemotherapy ◽  
Tumor Mutational Burden ◽  
Pre Treatment ◽  
And Performance

TPS67 Background: Treatments for 1L advanced/metastatic UC include platinum-based chemotherapy, an immune checkpoint inhibitor (ICI) or clinical trial enrollment. Not all patients benefit from, or are eligible for, specific therapies due to comorbidities and performance status. There is an urgent need for biomarker-directed strategies to enable patient selection and improve outcomes. Currently the only clinically used molecular biomarker is PD-L1 protein expression in tumor tissue. Although inconsistent and variable among assays, higher PD-L1 expression generally correlates with increased ICI response rate. Improved understanding of the prevalence and potential prognostic and/or predictive role of PD-L1 can further enhance its clinical utility and guide novel clinical trial designs. Methods: This observational study will enroll 250 patients with advanced UC prior to starting or during 1L therapy, as initiated at the discretion of participating clinicians, from 60 US community sites. The primary endpoint is prevalence of PD-L1 expression by VENTANA SP263 Assay (exact [Clopper-Pearson] 95% CI) on pre-treatment tumor tissue. Secondary endpoints include the association of pre-treatment PD-L1 expression with pre-treatment tumor tissue mutational burden (tTMB), descriptions of treatment response and outcomes (ORR based on RECIST 1.1, PFS, OS) and assessment of their correlations with PD-L1 expression. Exploratory endpoints include the association of pre-treatment tumor tissue PD-L1 with pre-treatment blood-based tumor mutational burden (bTMB), changes in circulating tumor DNA (ctDNA) levels at various timepoints, the correlation between tTMB and bTMB values, and the association of those biomarkers for outcomes of PFS and OS. Enrollment will take place over 24 months with follow-up to 30 months from study enrollment. With 250 patients, the 95% CI for 30%, 45%, and 60% observed prevalence of PD-L1 high are (24.4%, 36.1%), (38.9%, 51.2%), and (53.6%, 66.1%), respectively; the various secondary and exploratory analyses will be descriptive.

scholarly journals NCMP-17. MISMATCH REPAIR MUTATIONS AND THE CENTRAL NERVOUS SYSTEM: A CASE SERIES OF GERMLINE MUTATIONS AND CNS MALIGNANCY

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii126-ii126
Author(s):  
Amber Ruiz ◽  
Jerome Graber
Keyword(s):  
Treatment Response ◽  
Mismatch Repair ◽  
Case Series ◽  
Germline Mutations ◽  
Molecular Characteristics ◽  
Loss Of Function ◽  
Dna Mismatch ◽  
Mutational Burden ◽  
Increased Risk ◽  
Tumor Mutational Burden

Abstract Our understanding of genetic predispositions for malignancy is continually evolving. One family of germline mutations well described in the literature is that of the DNA mismatch repair mechanism (MMR). Lynch syndrome (LS) is due to a loss of function mutation of several MMR genes- MSH2, MLH1, MSH6, and PMS2. Germline MMR mutations lead to microsatellite instability and loss of genomic integrity resulting in an increased risk for various cancers (colorectal, genitourinary, etc). LS may be as common as 1 in 400 people and some MMR mutations have been associated with gliomas. There is a paucity of information regarding frequency of glioma subtypes as well as tumor genetic and molecular characteristics which have important clinical implications. We describe a case series of 6 individuals with germline MMR mutations and brain tumors. Those with MSH2 and PMS2 mutations (n=3) developed glioblastomas at a mean age at diagnosis of 48 years. These tumors expressed MGMT hyper-methylation and high tumor mutational burden. Only one had IDH-1 mutation. Those with MLH1 mutations (n=3), did not develop gliomas. This raises the question of differential glioma subtype development based on MMR gene. It also highlights the possibility of Lynch-associated gliomas having more favorable treatment response due to MGMT methylation and potential response to immunotherapy based on high tumor mutational burden. Though the sample size is small, there appears to be a preponderance of women compared to men (5:1 respectively). Larger studies are needed to verify CNS involvement in germline MMR mutations. In doing so, we hope to identify factors that may influence clinical management and lead to a better understanding of treatment response and disease prognosis.

Comprehensive exploration of tumor mutational burden and immune infiltration in diffuse glioma

2021 ◽  
Vol 96 ◽  
pp. 107610
Author(s):  
Kai Kang ◽  
Fucun Xie ◽  
Yijun Wu ◽  
Zhile Wang ◽  
Li Wang ◽  
...  
Keyword(s):  
Diffuse Glioma ◽  
Immune Infiltration ◽  
Mutational Burden ◽  
Tumor Mutational Burden

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 Identification and validation of a miRNA-related expression signature for tumor mutational burden in colorectal cancer

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Lijun Xu ◽  
Qing Zheng
Keyword(s):  
Colorectal Cancer ◽  
Immune Response ◽  
Validation Cohort ◽  
Expression Profiles ◽  
Functional Enrichment ◽  
Immune Checkpoints ◽  
Positive Correlation ◽  
Expression Signature ◽  
Mutational Burden ◽  
Tumor Mutational Burden

Abstract Background Tumor mutational burden (TMB) is a promising predictor, which could stratify colorectal cancer (CRC) patients based on the response to immune checkpoint inhibitors (ICIs). MicroRNAs (miRNAs) act as the key regulators of anti-cancer immune response. However, the relationship between TMB and miRNA expression profiles is not elucidated in CRC. Methods Differentially expressed miRNAs (DE miRNAs) between the TMBhigh group and the TMBlow group were identified for the CRC cohort of the TCGA database. In the training cohort, a miRNA-related expression signature for predicting TMB level was developed by the least absolute shrinkage and selection operator (LASSO) method and tested with reference to its discrimination, calibration, and decision curve analysis (DCA) in the validation cohort. Functional enrichment analysis of these TMB-related miRNAs was performed. The correlation between this miRNA-related expression signature and three immune checkpoints was analyzed. Results Twenty-one out of 43 DE miRNAs were identified as TMB-related miRNAs, which were used to develop a miRNA-related expression signature. This TMB-related miRNA signature demonstrated great discrimination (AUCtest set = 0.970), satisfactory calibration (P > 0.05), and clinical utility in the validation cohort. Functional enrichment results revealed that these TMB-related miRNAs were mainly involved in biological processes associated with immune response and signaling pathways related with cancer. This miRNA-related expression signature showed a median positive correlation with PD-L1 (R = 0.47, P < 0.05) and CTLA4 (R = 0.39, P < 0.05) and a low positive correlation with PD-1 (R = 0.16, P < 0.05). Conclusion This study presents a miRNA-related expression signature which could stratify CRC patients with different TMB levels.

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