scholarly journals TNER: A Novel Background Error Suppression Method for Mutation Detection in Circulating Tumor DNA

2017 ◽  
Author(s):  
Shibing Deng ◽  
Maruja Lira ◽  
Stephen Huang ◽  
Kai Wang ◽  
Crystal Valdez ◽  
...  

AbstractThe use of ultra-deep, next generation sequencing of circulating tumor DNA (ctDNA) holds great promise for early detection of cancer as well as a tool for monitoring disease progression and therapeutic responses. However, the low abundance of ctDNA in the bloodstream coupled with technical errors introduced during library construction and sequencing complicates mutation detection. To achieve high accuracy of variant calling via better distinguishing low frequency ctDNA mutations from background errors, we introduce TNER (Tri-Nucleotide Error Reducer), a novel background error suppression method that provides a robust estimation of background noise to reduce sequencing errors. It significantly enhances the specificity for downstream ctDNA mutation detection without sacrificing sensitivity. Results on both simulated and real healthy subjects’ data demonstrate that the proposed algorithm consistently outperforms a current, state of the art, position-specific error polishing model, particularly when the sample size of healthy subjects is small. TNER is publicly available at https://github.com/ctDNA/TNER.

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Shibing Deng ◽  
Maruja Lira ◽  
Donghui Huang ◽  
Kai Wang ◽  
Crystal Valdez ◽  
...  

2016 ◽  
Vol 34 (5) ◽  
pp. 547-555 ◽  
Author(s):  
Aaron M Newman ◽  
Alexander F Lovejoy ◽  
Daniel M Klass ◽  
David M Kurtz ◽  
Jacob J Chabon ◽  
...  

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii11-ii11
Author(s):  
Rohinton S Tarapore ◽  
Amanda Field ◽  
D Ashley Hill ◽  
Joshua Allen

Abstract Diffuse midline glioma, H3 K27M-mutant (DMG) is a 2016 WHO Grade IV glioma that has no established treatment beyond first-line radiation. ONC201 is an investigational small molecule that has been shown to be clinically active in recurrent DMG clinical trials. While biopsies of DMG are sometimes feasible, many patients defer secondary to complication risk. MR scans have many limitations in monitoring DMG progression, including distinguishing pseudoprogression and pseudoresponse and measuring diffuse lesions that often do not contrast enhance. Digital droplet PCR (ddPCR) is capable of sensitively detecting and quantifying the allelic frequency of circulating-tumor DNA (ctDNA) fragments against a backdrop of non-tumor DNA. Using sequence-specific probes for H3F3A (H3.3 K27M) and HIST1H3B (H3.1 K27M) ddPCR detects very low frequency variants and provides an assessment of mutational burden. A pilot cohort of 5 patients treated with ONC201 who had a range of outcomes were assessed with serial ctDNA analyses. Two patients with immediately progressive disease had a concordant H3 K27M ctDNA increase that precedes radiographic detection by 4 weeks. Two patients with >50% tumor regressions while on ONC201 had concordant H3 K27M ctDNA burden at the onset of response and subsequent radiographic progression was preceded by increases in ctDNA 8–16 weeks prior. One patient who had prolonged stable disease had decreased H3 K27M ctDNA burden over time. Upon radiographic progression, the addition of bevacizumab with ONC201 caused a radiographic pseudoresponse, however H3 K27M ctDNA remained stable. These pilot results suggest H3 K27M ctDNA may be a sensitive and accurate biomarker of disease burden. Longitudinal evaluation of H3 K27M ctDNA in a cohort of 34 recurrent contrast-enhancing H3 K27M-mutant glioma patients while on ONC201 will be reported. Primary tumor locations range across the thalamus, cerebellum, basal ganglia, temporal lobe, and midbrain; median age is 31 years old (range 20–70).


2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21560-e21560
Author(s):  
Tapas Ranjan Behera ◽  
Jung Min Song ◽  
Donald Matthew Eicher ◽  
Brian Gastman ◽  
Daniel H. Farkas ◽  
...  

e21560 Background: Prognosis in melanoma with brain metastasis is poor with a median survival of four months and a one-year survival rate of 10–20%. There is an unmet need for surveillance methods that can supplement imaging at regular intervals. Serial analysis of circulating tumor DNA (ctDNA) may aid surveillance and prognostication. A PCR-based, “specimen in/result out” testing device was employed to detect BRAF variants in plasma-derived ctDNA to evaluate the utility of rapid biomarker detection in the management of melanoma with brain metastasis. Methods: Serial blood samples from patients diagnosed with BRAF mutation-positive metastatic melanoma were collected at regular intervals. We employed a real-time PCR-based automated mutation detection system (Idylla; Biocartis, Belgium) to interrogate the plasma samples. The ctDNA mutation detection trend was analyzed relative to disease progression. Results: 39 patients with BRAF mutation positive melanoma were enrolled. 29 patients were treated in the metastatic setting, 10 in the adjuvant setting. 18 of the 29 patients with metastatic disease (62%) had brain metastases. Circulating BRAF mutation was detected in 17 of the 29 (59%) patients with metastatic disease, and was not detected in any patients treated adjuvantly. In the group with metastatic disease, this circulating biomarker changed from undetectable to detectable in eight (28%) and detectable to undetectable in three (10%). No change in circulating mutation status occurred in 18 (62%). In the eight patients who had an initial negative test that later became positive, seven (87%) had brain metastases. In three patients, ctDNA mutation detection occurred before the diagnosis of brain metastases on imaging, with a median lead time of five weeks (range, 3-12 weeks). In one patient with de novo metastatic disease admitted to the ICU, tissue was unavailable for BRAF testing but plasma was found to be positive for ctDNA BRAF detection. BRAF/MEK targeted therapy resulted in a sustained objective response. Five of six (83%) patients that had persistent ctDNA positivity had brain metastases. Among patients with brain metastases, median overall survival (mOS) of patients demonstrating >50% test positivity was numerically longer than those with <50% positivity (mOS 12.3 vs 53.5 months; p = 0.133). Conclusions: Plasma-based, rapid ctDNA testing may be useful as an aid in detecting progression and gauging prognosis in patients with melanoma treated in the metastatic setting. The dynamics of ctDNA test positivity may indicate a need for more urgent imaging, particularly of the brain. Blood-based, semi-automated ctDNA detection may serve as an attractive adjunct to scheduled imaging surveillance in melanoma.


2020 ◽  
Author(s):  
Stefan Filges ◽  
Daniel Andersson ◽  
Helena Kristiansson ◽  
Christoffer Vannas ◽  
Gustav Johansson ◽  
...  

2020 ◽  
Vol 6 (50) ◽  
pp. eabe3722
Author(s):  
Sagi Abelson ◽  
Andy G. X. Zeng ◽  
Ido Nofech-Mozes ◽  
Ting Ting Wang ◽  
Stanley W. K. Ng ◽  
...  

Sensitive mutation detection by next-generation sequencing is critical for early cancer detection, monitoring minimal/measurable residual disease (MRD), and guiding precision oncology. Nevertheless, because of artifacts introduced during library preparation and sequencing, the detection of low-frequency variants at high specificity is problematic. Here, we present Espresso, an error suppression method that considers local sequence features to accurately detect single-nucleotide variants (SNVs). Compared to other advanced error suppression techniques, Espresso consistently demonstrated lower numbers of false-positive mutation calls and greater sensitivity. We demonstrated Espresso’s superior performance in detecting MRD in the peripheral blood of patients with acute myeloid leukemia (AML) throughout their treatment course. Furthermore, we showed that accurate mutation calling in a small number of informative genomic loci might provide a cost-efficient strategy for pragmatic risk prediction of AML development in healthy individuals. More broadly, we aim for Espresso to aid with accurate mutation detection in many other research and clinical settings.


2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Leilei Wu ◽  
Qinfang Deng ◽  
Ze Xu ◽  
Songwen Zhou ◽  
Chao Li ◽  
...  

Author(s):  
Antonios Papanicolau-Sengos ◽  
Kenneth Aldape

Histomorphology has been a mainstay of cancer diagnosis in anatomic pathology for many years. DNA methylation profiling is an additional emerging tool that will serve as an adjunct to increase accuracy of pathological diagnosis. Genome-wide interrogation of DNA methylation signatures, in conjunction with machine learning methods, has allowed for the creation of clinical-grade classifiers, most prominently in central nervous system and soft tissue tumors. Tumor DNA methylation profiling has led to the identification of new entities and the consolidation of morphologically disparate cancers into biologically coherent entities, and it will progressively become mainstream in the future. In addition, DNA methylation patterns in circulating tumor DNA hold great promise for minimally invasive cancer detection and classification. Despite practical challenges that accompany any new technology, methylation profiling is here to stay and will become increasingly utilized as a cancer diagnostic tool across a range of tumor types. Expected final online publication date for the Annual Review of Pathology: Mechanisms of Disease, Volume 17 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


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