Exome scale liquid biopsy characterization of putative neoantigens and genomic biomarkers pre- and post anti-PD-1 therapy in squamous cell carcinoma of the head and neck.

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. 6557-6557
Author(s):  
Charles Abbott ◽  
Nikita Bedi ◽  
Simo V Zhang ◽  
Robin Li ◽  
Rachel Pyke ◽  
...  

6557 Background: The reduced scope, and number of genes profiled by typical liquid biopsy panels can result in missed biomarkers including neoantigens, which may change with treatment, as well as potentially undetected resistance mechanisms and pathways beyond the scope of targets typically captured by panels. To address these limitations, we used a whole-exome scale liquid biopsy monitoring platform, NeXT Liquid Biopsy, to analyze head and neck squamous cell carcinoma (HNSCC) patients that have received anti-PD1 therapy. Presently, we sought to (1) monitor neoantigen changes in cfDNA as a complement to tumor biopsy-derived neoantigens, (2) compare the impact of tumor escape mechanisms, including HLA-LOH, on neoantigens identified in tissue and cfDNA and (3) to identify novel biological signatures that combine information from both solid tumor and liquid biopsies. Methods: Pre- and post-intervention matched normal, tumor and plasma samples were collected from a cohort of 12 patients with HNSCC. Following baseline sample collection all patients received a single dose of nivolumab, followed by resection approximately one month later when feasible, or a second biopsy where resection was impractical. Solid tumor and matched normal samples were profiled using ImmunoID NeXT, an augmented exome/transcriptome platform and analysis pipeline. Exome-scale somatic variants were identified in cfDNA from plasma samples using the NeXT Liquid Biopsy platform. Data from these two platforms were compared with corresponding clinical findings. Results: Concordant somatic events were detected between plasma and tumor at pre- and post-treatment timepoints. Neoantigens predicted to arise from these somatic events were reduced in solid tumor post-treatment, but increased in cfDNA, when compared to pre-treatment timepoints. HLA LOH was identified in a number of subjects, likely resulting in reduced neoepitope presentation in those cases. Immune cell infiltration increased in the tumor following treatment, with no changes to the CD8+/Treg cell ratio, suggesting consistent immunoregulation. Conclusions: Exome-wide neoantigen burden was reliably predicted from cfDNA, providing additional insight complementing data from solid tumor. Analyzing HLA LOH, and neoantigen burden from both solid and liquid biopsies together over the course of treatment creates a more comprehensive profile of therapeutic response and resistance mechanisms in HNSCC patients missed with typical liquid biopsy panels.

2021 ◽  
Vol 9 (Suppl 3) ◽  
pp. A22-A22
Author(s):  
Charles Abbott ◽  
Nikita Bedi ◽  
Jing Wang ◽  
Josette Northcott ◽  
Rachel Pyke ◽  
...  

BackgroundTypical liquid biopsy panels offer a limited understanding of tumor biology, potentially under-representing the heterogeneity of resistance in late-stage cancers. Here, diminished scope can result in undetected, therapeutically-relevant biomarkers which respond dynamically to treatment, as well as potentially missed resistance mechanisms and pathway-level events. To address the challenges associated with identifying multiple concurrent heterogeneous resistance mechanisms in individual patients, we evaluated longitudinal exome-scale tumor-informed cell-free DNA (cfDNA) data from head and neck squamous cell carcinoma (HNSCC) patients receiving anti-PD1 therapy.MethodsPre- and post-intervention matched tumor, normal and plasma samples were retrospectively obtained from 15 stage II-IV HNSCC patients. Following baseline sample collection, all patients received a single dose of nivolumab or pembrolizumab. The primary tumor was then resected approximately one month later when possible, or a second biopsy collected where resection was impractical. Paired tumor and normal samples were then profiled using ImmunoID NeXT Platform®, an augmented exome/transcriptome platform and analysis pipeline. Exome-scale cfDNA profiling of matched plasma samples was performed using the NeXT Liquid BiopsyTM platform to detect somatic variants.ResultsPatient neoantigen presentation score (NEOPSTM) rapidly and significantly contracted following therapy (p=.00098). Novel neoantigens arising post-treatment which were predicted to be presented on lost HLA alleles were significantly higher in patients with longer overall survival (p=.019). Variant detection across same-patient serial cfDNA samples revealed significantly correlated VAFs (R=.62, p<.0001) despite significant contraction of mutational burden in solid tumor (p=.0039), suggesting complex clonal/subclonal dynamics. Investigation of the evolving tumor and cfDNA subclonal architecture revealed significant association between decreasing cellular prevalence and NOTCH signaling (q=.001) and the innate immune system (q=.002), while increasing cellular prevalence was associated with p53 signalling (q=.02) and hypoxia (q=.02). These findings were complimented by transcriptomic data which showed significant enrichment of multiple immune pathways across treatment.ConclusionsWe found that immune checkpoint blockade precipitates rapid evolution of the HNSCC tumor microenvironment. By leveraging comprehensive, tumor-informed liquid biopsy data we were able to identify contracting cellular populations enriched for NOTCH pathway mutations. Longer OS following either intervention was associated with an expansion of novel neoantigens predicted to be presented by lost HLA alleles. Our results suggest that tumor-informed liquid biopsy provides a more robust understanding of therapeutic response and resistance mechanisms than that attainable with typical liquid biopsy panels alone.Ethics ApprovalThis study obtained ethics approval from Human Subjects Research at Stanford University. ID number is 40425. All participants gave informed consent prior to enrollment.


Oral Oncology ◽  
2020 ◽  
Vol 104 ◽  
pp. 104631 ◽  
Author(s):  
Rachel Galot ◽  
Cédric van Marcke ◽  
Raphaël Helaers ◽  
Antonella Mendola ◽  
Rose-Marie Goebbels ◽  
...  

Oral Oncology ◽  
2016 ◽  
Vol 54 ◽  
pp. 36-41 ◽  
Author(s):  
Agnieszka M. Mazurek ◽  
Tomasz Rutkowski ◽  
Anna Fiszer-Kierzkowska ◽  
Ewa Małusecka ◽  
Krzysztof Składowski

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18046-e18046
Author(s):  
Ping Wu ◽  
Zicheng Yu ◽  
Chubo Xie ◽  
Ling Yang ◽  
Xuefeng Xia ◽  
...  

e18046 Background: Head and neck squamous cell carcinoma (HNSCC) is characterized by dismal prognosis, nonetheless limited studies have unveiled the mechanisms underlying HNSCC relapse. Methods: Next-generation sequencing 1 5 was performed to identify somatic mutations in 188 matched samples including primary tumors, tumor adjacent tissues (TATs), pre- and post-operative plasma, saliva and peripheral blood lymphocytes (PBLs) from 27 patients. Evolutionary relationship between TATs and tumors were analyzed. The dynamic changes of tumor- and TAT-specific mutations in liquid biopsies were monitored together with survival analysis. Results: Alterations were detected in 27/27 and 19/26 tumors and TATs respectively. TP53 was the most prevalent genes mutated in TATs. Some TATs shared mutations with primary tumors, while some other TATs were evolutionarily unrelated to tumors. Notably, TP53 mutations in TATs are stringently associated with premalignant transformation and indicative of worse survival (HR=14.01). TAT-specific mutations were also detected in pre- and/or post-operative liquid biopsies, and indicative of disease relapse. Conclusions: TATs might undergo the processes of premalignant transformation, tumorigenesis, and eventually relapse by either inheriting tumorigenic mutations from ancestral clones where tumor originated or gaining private mutations independent to primary tumor. Detection of tumor- and/or TAT-specific genetic alterations in post-operative biopsies shows profound potential in prognostic use.


PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0144770 ◽  
Author(s):  
Ann D. King ◽  
Steven Kwok Keung Chow ◽  
Kwok-Hung Yu ◽  
Frankie Kwok Fai Mo ◽  
David K. W. Yeung ◽  
...  

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